science report example year 8

Scientific Reports

What this handout is about.

This handout provides a general guide to writing reports about scientific research you’ve performed. In addition to describing the conventional rules about the format and content of a lab report, we’ll also attempt to convey why these rules exist, so you’ll get a clearer, more dependable idea of how to approach this writing situation. Readers of this handout may also find our handout on writing in the sciences useful.

Background and pre-writing

Why do we write research reports.

You did an experiment or study for your science class, and now you have to write it up for your teacher to review. You feel that you understood the background sufficiently, designed and completed the study effectively, obtained useful data, and can use those data to draw conclusions about a scientific process or principle. But how exactly do you write all that? What is your teacher expecting to see?

To take some of the guesswork out of answering these questions, try to think beyond the classroom setting. In fact, you and your teacher are both part of a scientific community, and the people who participate in this community tend to share the same values. As long as you understand and respect these values, your writing will likely meet the expectations of your audience—including your teacher.

So why are you writing this research report? The practical answer is “Because the teacher assigned it,” but that’s classroom thinking. Generally speaking, people investigating some scientific hypothesis have a responsibility to the rest of the scientific world to report their findings, particularly if these findings add to or contradict previous ideas. The people reading such reports have two primary goals:

• They want to gather the information presented.
• They want to know that the findings are legitimate.

Your job as a writer, then, is to fulfill these two goals.

How do I do that?

Good question. Here is the basic format scientists have designed for research reports:

• Introduction

Methods and Materials

This format, sometimes called “IMRAD,” may take slightly different shapes depending on the discipline or audience; some ask you to include an abstract or separate section for the hypothesis, or call the Discussion section “Conclusions,” or change the order of the sections (some professional and academic journals require the Methods section to appear last). Overall, however, the IMRAD format was devised to represent a textual version of the scientific method.

The scientific method, you’ll probably recall, involves developing a hypothesis, testing it, and deciding whether your findings support the hypothesis. In essence, the format for a research report in the sciences mirrors the scientific method but fleshes out the process a little. Below, you’ll find a table that shows how each written section fits into the scientific method and what additional information it offers the reader.

Thinking of your research report as based on the scientific method, but elaborated in the ways described above, may help you to meet your audience’s expectations successfully. We’re going to proceed by explicitly connecting each section of the lab report to the scientific method, then explaining why and how you need to elaborate that section.

Although this handout takes each section in the order in which it should be presented in the final report, you may for practical reasons decide to compose sections in another order. For example, many writers find that composing their Methods and Results before the other sections helps to clarify their idea of the experiment or study as a whole. You might consider using each assignment to practice different approaches to drafting the report, to find the order that works best for you.

What should I do before drafting the lab report?

The best way to prepare to write the lab report is to make sure that you fully understand everything you need to about the experiment. Obviously, if you don’t quite know what went on during the lab, you’re going to find it difficult to explain the lab satisfactorily to someone else. To make sure you know enough to write the report, complete the following steps:

• What are we going to do in this lab? (That is, what’s the procedure?)
• Why are we going to do it that way?
• What are we hoping to learn from this experiment?
• Why would we benefit from this knowledge?
• Consult your lab supervisor as you perform the lab. If you don’t know how to answer one of the questions above, for example, your lab supervisor will probably be able to explain it to you (or, at least, help you figure it out).
• Plan the steps of the experiment carefully with your lab partners. The less you rush, the more likely it is that you’ll perform the experiment correctly and record your findings accurately. Also, take some time to think about the best way to organize the data before you have to start putting numbers down. If you can design a table to account for the data, that will tend to work much better than jotting results down hurriedly on a scrap piece of paper.
• Record the data carefully so you get them right. You won’t be able to trust your conclusions if you have the wrong data, and your readers will know you messed up if the other three people in your group have “97 degrees” and you have “87.”
• Consult with your lab partners about everything you do. Lab groups often make one of two mistakes: two people do all the work while two have a nice chat, or everybody works together until the group finishes gathering the raw data, then scrams outta there. Collaborate with your partners, even when the experiment is “over.” What trends did you observe? Was the hypothesis supported? Did you all get the same results? What kind of figure should you use to represent your findings? The whole group can work together to answer these questions.
• Consider your audience. You may believe that audience is a non-issue: it’s your lab TA, right? Well, yes—but again, think beyond the classroom. If you write with only your lab instructor in mind, you may omit material that is crucial to a complete understanding of your experiment, because you assume the instructor knows all that stuff already. As a result, you may receive a lower grade, since your TA won’t be sure that you understand all the principles at work. Try to write towards a student in the same course but a different lab section. That student will have a fair degree of scientific expertise but won’t know much about your experiment particularly. Alternatively, you could envision yourself five years from now, after the reading and lectures for this course have faded a bit. What would you remember, and what would you need explained more clearly (as a refresher)?

Once you’ve completed these steps as you perform the experiment, you’ll be in a good position to draft an effective lab report.

Introductions

How do i write a strong introduction.

For the purposes of this handout, we’ll consider the Introduction to contain four basic elements: the purpose, the scientific literature relevant to the subject, the hypothesis, and the reasons you believed your hypothesis viable. Let’s start by going through each element of the Introduction to clarify what it covers and why it’s important. Then we can formulate a logical organizational strategy for the section.

The inclusion of the purpose (sometimes called the objective) of the experiment often confuses writers. The biggest misconception is that the purpose is the same as the hypothesis. Not quite. We’ll get to hypotheses in a minute, but basically they provide some indication of what you expect the experiment to show. The purpose is broader, and deals more with what you expect to gain through the experiment. In a professional setting, the hypothesis might have something to do with how cells react to a certain kind of genetic manipulation, but the purpose of the experiment is to learn more about potential cancer treatments. Undergraduate reports don’t often have this wide-ranging a goal, but you should still try to maintain the distinction between your hypothesis and your purpose. In a solubility experiment, for example, your hypothesis might talk about the relationship between temperature and the rate of solubility, but the purpose is probably to learn more about some specific scientific principle underlying the process of solubility.

For starters, most people say that you should write out your working hypothesis before you perform the experiment or study. Many beginning science students neglect to do so and find themselves struggling to remember precisely which variables were involved in the process or in what way the researchers felt that they were related. Write your hypothesis down as you develop it—you’ll be glad you did.

As for the form a hypothesis should take, it’s best not to be too fancy or complicated; an inventive style isn’t nearly so important as clarity here. There’s nothing wrong with beginning your hypothesis with the phrase, “It was hypothesized that . . .” Be as specific as you can about the relationship between the different objects of your study. In other words, explain that when term A changes, term B changes in this particular way. Readers of scientific writing are rarely content with the idea that a relationship between two terms exists—they want to know what that relationship entails.

Not a hypothesis:

“It was hypothesized that there is a significant relationship between the temperature of a solvent and the rate at which a solute dissolves.”

Hypothesis:

“It was hypothesized that as the temperature of a solvent increases, the rate at which a solute will dissolve in that solvent increases.”

Put more technically, most hypotheses contain both an independent and a dependent variable. The independent variable is what you manipulate to test the reaction; the dependent variable is what changes as a result of your manipulation. In the example above, the independent variable is the temperature of the solvent, and the dependent variable is the rate of solubility. Be sure that your hypothesis includes both variables.

Justify your hypothesis

You need to do more than tell your readers what your hypothesis is; you also need to assure them that this hypothesis was reasonable, given the circumstances. In other words, use the Introduction to explain that you didn’t just pluck your hypothesis out of thin air. (If you did pluck it out of thin air, your problems with your report will probably extend beyond using the appropriate format.) If you posit that a particular relationship exists between the independent and the dependent variable, what led you to believe your “guess” might be supported by evidence?

Scientists often refer to this type of justification as “motivating” the hypothesis, in the sense that something propelled them to make that prediction. Often, motivation includes what we already know—or rather, what scientists generally accept as true (see “Background/previous research” below). But you can also motivate your hypothesis by relying on logic or on your own observations. If you’re trying to decide which solutes will dissolve more rapidly in a solvent at increased temperatures, you might remember that some solids are meant to dissolve in hot water (e.g., bouillon cubes) and some are used for a function precisely because they withstand higher temperatures (they make saucepans out of something). Or you can think about whether you’ve noticed sugar dissolving more rapidly in your glass of iced tea or in your cup of coffee. Even such basic, outside-the-lab observations can help you justify your hypothesis as reasonable.

Background/previous research

This part of the Introduction demonstrates to the reader your awareness of how you’re building on other scientists’ work. If you think of the scientific community as engaging in a series of conversations about various topics, then you’ll recognize that the relevant background material will alert the reader to which conversation you want to enter.

Generally speaking, authors writing journal articles use the background for slightly different purposes than do students completing assignments. Because readers of academic journals tend to be professionals in the field, authors explain the background in order to permit readers to evaluate the study’s pertinence for their own work. You, on the other hand, write toward a much narrower audience—your peers in the course or your lab instructor—and so you must demonstrate that you understand the context for the (presumably assigned) experiment or study you’ve completed. For example, if your professor has been talking about polarity during lectures, and you’re doing a solubility experiment, you might try to connect the polarity of a solid to its relative solubility in certain solvents. In any event, both professional researchers and undergraduates need to connect the background material overtly to their own work.

Organization of this section

Most of the time, writers begin by stating the purpose or objectives of their own work, which establishes for the reader’s benefit the “nature and scope of the problem investigated” (Day 1994). Once you have expressed your purpose, you should then find it easier to move from the general purpose, to relevant material on the subject, to your hypothesis. In abbreviated form, an Introduction section might look like this:

“The purpose of the experiment was to test conventional ideas about solubility in the laboratory [purpose] . . . According to Whitecoat and Labrat (1999), at higher temperatures the molecules of solvents move more quickly . . . We know from the class lecture that molecules moving at higher rates of speed collide with one another more often and thus break down more easily [background material/motivation] . . . Thus, it was hypothesized that as the temperature of a solvent increases, the rate at which a solute will dissolve in that solvent increases [hypothesis].”

Again—these are guidelines, not commandments. Some writers and readers prefer different structures for the Introduction. The one above merely illustrates a common approach to organizing material.

How do I write a strong Materials and Methods section?

As with any piece of writing, your Methods section will succeed only if it fulfills its readers’ expectations, so you need to be clear in your own mind about the purpose of this section. Let’s review the purpose as we described it above: in this section, you want to describe in detail how you tested the hypothesis you developed and also to clarify the rationale for your procedure. In science, it’s not sufficient merely to design and carry out an experiment. Ultimately, others must be able to verify your findings, so your experiment must be reproducible, to the extent that other researchers can follow the same procedure and obtain the same (or similar) results.

Here’s a real-world example of the importance of reproducibility. In 1989, physicists Stanley Pons and Martin Fleischman announced that they had discovered “cold fusion,” a way of producing excess heat and power without the nuclear radiation that accompanies “hot fusion.” Such a discovery could have great ramifications for the industrial production of energy, so these findings created a great deal of interest. When other scientists tried to duplicate the experiment, however, they didn’t achieve the same results, and as a result many wrote off the conclusions as unjustified (or worse, a hoax). To this day, the viability of cold fusion is debated within the scientific community, even though an increasing number of researchers believe it possible. So when you write your Methods section, keep in mind that you need to describe your experiment well enough to allow others to replicate it exactly.

With these goals in mind, let’s consider how to write an effective Methods section in terms of content, structure, and style.

Sometimes the hardest thing about writing this section isn’t what you should talk about, but what you shouldn’t talk about. Writers often want to include the results of their experiment, because they measured and recorded the results during the course of the experiment. But such data should be reserved for the Results section. In the Methods section, you can write that you recorded the results, or how you recorded the results (e.g., in a table), but you shouldn’t write what the results were—not yet. Here, you’re merely stating exactly how you went about testing your hypothesis. As you draft your Methods section, ask yourself the following questions:

• How much detail? Be precise in providing details, but stay relevant. Ask yourself, “Would it make any difference if this piece were a different size or made from a different material?” If not, you probably don’t need to get too specific. If so, you should give as many details as necessary to prevent this experiment from going awry if someone else tries to carry it out. Probably the most crucial detail is measurement; you should always quantify anything you can, such as time elapsed, temperature, mass, volume, etc.
• Rationale: Be sure that as you’re relating your actions during the experiment, you explain your rationale for the protocol you developed. If you capped a test tube immediately after adding a solute to a solvent, why did you do that? (That’s really two questions: why did you cap it, and why did you cap it immediately?) In a professional setting, writers provide their rationale as a way to explain their thinking to potential critics. On one hand, of course, that’s your motivation for talking about protocol, too. On the other hand, since in practical terms you’re also writing to your teacher (who’s seeking to evaluate how well you comprehend the principles of the experiment), explaining the rationale indicates that you understand the reasons for conducting the experiment in that way, and that you’re not just following orders. Critical thinking is crucial—robots don’t make good scientists.
• Control: Most experiments will include a control, which is a means of comparing experimental results. (Sometimes you’ll need to have more than one control, depending on the number of hypotheses you want to test.) The control is exactly the same as the other items you’re testing, except that you don’t manipulate the independent variable-the condition you’re altering to check the effect on the dependent variable. For example, if you’re testing solubility rates at increased temperatures, your control would be a solution that you didn’t heat at all; that way, you’ll see how quickly the solute dissolves “naturally” (i.e., without manipulation), and you’ll have a point of reference against which to compare the solutions you did heat.

Describe the control in the Methods section. Two things are especially important in writing about the control: identify the control as a control, and explain what you’re controlling for. Here is an example:

“As a control for the temperature change, we placed the same amount of solute in the same amount of solvent, and let the solution stand for five minutes without heating it.”

Structure and style

Organization is especially important in the Methods section of a lab report because readers must understand your experimental procedure completely. Many writers are surprised by the difficulty of conveying what they did during the experiment, since after all they’re only reporting an event, but it’s often tricky to present this information in a coherent way. There’s a fairly standard structure you can use to guide you, and following the conventions for style can help clarify your points.

• Subsections: Occasionally, researchers use subsections to report their procedure when the following circumstances apply: 1) if they’ve used a great many materials; 2) if the procedure is unusually complicated; 3) if they’ve developed a procedure that won’t be familiar to many of their readers. Because these conditions rarely apply to the experiments you’ll perform in class, most undergraduate lab reports won’t require you to use subsections. In fact, many guides to writing lab reports suggest that you try to limit your Methods section to a single paragraph.
• Narrative structure: Think of this section as telling a story about a group of people and the experiment they performed. Describe what you did in the order in which you did it. You may have heard the old joke centered on the line, “Disconnect the red wire, but only after disconnecting the green wire,” where the person reading the directions blows everything to kingdom come because the directions weren’t in order. We’re used to reading about events chronologically, and so your readers will generally understand what you did if you present that information in the same way. Also, since the Methods section does generally appear as a narrative (story), you want to avoid the “recipe” approach: “First, take a clean, dry 100 ml test tube from the rack. Next, add 50 ml of distilled water.” You should be reporting what did happen, not telling the reader how to perform the experiment: “50 ml of distilled water was poured into a clean, dry 100 ml test tube.” Hint: most of the time, the recipe approach comes from copying down the steps of the procedure from your lab manual, so you may want to draft the Methods section initially without consulting your manual. Later, of course, you can go back and fill in any part of the procedure you inadvertently overlooked.
• Past tense: Remember that you’re describing what happened, so you should use past tense to refer to everything you did during the experiment. Writers are often tempted to use the imperative (“Add 5 g of the solid to the solution”) because that’s how their lab manuals are worded; less frequently, they use present tense (“5 g of the solid are added to the solution”). Instead, remember that you’re talking about an event which happened at a particular time in the past, and which has already ended by the time you start writing, so simple past tense will be appropriate in this section (“5 g of the solid were added to the solution” or “We added 5 g of the solid to the solution”).
• Active: We heated the solution to 80°C. (The subject, “we,” performs the action, heating.)
• Passive: The solution was heated to 80°C. (The subject, “solution,” doesn’t do the heating–it is acted upon, not acting.)

Increasingly, especially in the social sciences, using first person and active voice is acceptable in scientific reports. Most readers find that this style of writing conveys information more clearly and concisely. This rhetorical choice thus brings two scientific values into conflict: objectivity versus clarity. Since the scientific community hasn’t reached a consensus about which style it prefers, you may want to ask your lab instructor.

How do I write a strong Results section?

Here’s a paradox for you. The Results section is often both the shortest (yay!) and most important (uh-oh!) part of your report. Your Materials and Methods section shows how you obtained the results, and your Discussion section explores the significance of the results, so clearly the Results section forms the backbone of the lab report. This section provides the most critical information about your experiment: the data that allow you to discuss how your hypothesis was or wasn’t supported. But it doesn’t provide anything else, which explains why this section is generally shorter than the others.

Before you write this section, look at all the data you collected to figure out what relates significantly to your hypothesis. You’ll want to highlight this material in your Results section. Resist the urge to include every bit of data you collected, since perhaps not all are relevant. Also, don’t try to draw conclusions about the results—save them for the Discussion section. In this section, you’re reporting facts. Nothing your readers can dispute should appear in the Results section.

Most Results sections feature three distinct parts: text, tables, and figures. Let’s consider each part one at a time.

This should be a short paragraph, generally just a few lines, that describes the results you obtained from your experiment. In a relatively simple experiment, one that doesn’t produce a lot of data for you to repeat, the text can represent the entire Results section. Don’t feel that you need to include lots of extraneous detail to compensate for a short (but effective) text; your readers appreciate discrimination more than your ability to recite facts. In a more complex experiment, you may want to use tables and/or figures to help guide your readers toward the most important information you gathered. In that event, you’ll need to refer to each table or figure directly, where appropriate:

“Table 1 lists the rates of solubility for each substance”

“Solubility increased as the temperature of the solution increased (see Figure 1).”

If you do use tables or figures, make sure that you don’t present the same material in both the text and the tables/figures, since in essence you’ll just repeat yourself, probably annoying your readers with the redundancy of your statements.

Feel free to describe trends that emerge as you examine the data. Although identifying trends requires some judgment on your part and so may not feel like factual reporting, no one can deny that these trends do exist, and so they properly belong in the Results section. Example:

“Heating the solution increased the rate of solubility of polar solids by 45% but had no effect on the rate of solubility in solutions containing non-polar solids.”

This point isn’t debatable—you’re just pointing out what the data show.

As in the Materials and Methods section, you want to refer to your data in the past tense, because the events you recorded have already occurred and have finished occurring. In the example above, note the use of “increased” and “had,” rather than “increases” and “has.” (You don’t know from your experiment that heating always increases the solubility of polar solids, but it did that time.)

You shouldn’t put information in the table that also appears in the text. You also shouldn’t use a table to present irrelevant data, just to show you did collect these data during the experiment. Tables are good for some purposes and situations, but not others, so whether and how you’ll use tables depends upon what you need them to accomplish.

Tables are useful ways to show variation in data, but not to present a great deal of unchanging measurements. If you’re dealing with a scientific phenomenon that occurs only within a certain range of temperatures, for example, you don’t need to use a table to show that the phenomenon didn’t occur at any of the other temperatures. How useful is this table?

As you can probably see, no solubility was observed until the trial temperature reached 50°C, a fact that the text part of the Results section could easily convey. The table could then be limited to what happened at 50°C and higher, thus better illustrating the differences in solubility rates when solubility did occur.

As a rule, try not to use a table to describe any experimental event you can cover in one sentence of text. Here’s an example of an unnecessary table from How to Write and Publish a Scientific Paper , by Robert A. Day:

As Day notes, all the information in this table can be summarized in one sentence: “S. griseus, S. coelicolor, S. everycolor, and S. rainbowenski grew under aerobic conditions, whereas S. nocolor and S. greenicus required anaerobic conditions.” Most readers won’t find the table clearer than that one sentence.

When you do have reason to tabulate material, pay attention to the clarity and readability of the format you use. Here are a few tips:

• Number your table. Then, when you refer to the table in the text, use that number to tell your readers which table they can review to clarify the material.
• Give your table a title. This title should be descriptive enough to communicate the contents of the table, but not so long that it becomes difficult to follow. The titles in the sample tables above are acceptable.
• Arrange your table so that readers read vertically, not horizontally. For the most part, this rule means that you should construct your table so that like elements read down, not across. Think about what you want your readers to compare, and put that information in the column (up and down) rather than in the row (across). Usually, the point of comparison will be the numerical data you collect, so especially make sure you have columns of numbers, not rows.Here’s an example of how drastically this decision affects the readability of your table (from A Short Guide to Writing about Chemistry , by Herbert Beall and John Trimbur). Look at this table, which presents the relevant data in horizontal rows:

It’s a little tough to see the trends that the author presumably wants to present in this table. Compare this table, in which the data appear vertically:

The second table shows how putting like elements in a vertical column makes for easier reading. In this case, the like elements are the measurements of length and height, over five trials–not, as in the first table, the length and height measurements for each trial.

• Make sure to include units of measurement in the tables. Readers might be able to guess that you measured something in millimeters, but don’t make them try.
• Don’t use vertical lines as part of the format for your table. This convention exists because journals prefer not to have to reproduce these lines because the tables then become more expensive to print. Even though it’s fairly unlikely that you’ll be sending your Biology 11 lab report to Science for publication, your readers still have this expectation. Consequently, if you use the table-drawing option in your word-processing software, choose the option that doesn’t rely on a “grid” format (which includes vertical lines).

How do I include figures in my report?

Although tables can be useful ways of showing trends in the results you obtained, figures (i.e., illustrations) can do an even better job of emphasizing such trends. Lab report writers often use graphic representations of the data they collected to provide their readers with a literal picture of how the experiment went.

When should you use a figure?

Remember the circumstances under which you don’t need a table: when you don’t have a great deal of data or when the data you have don’t vary a lot. Under the same conditions, you would probably forgo the figure as well, since the figure would be unlikely to provide your readers with an additional perspective. Scientists really don’t like their time wasted, so they tend not to respond favorably to redundancy.

If you’re trying to decide between using a table and creating a figure to present your material, consider the following a rule of thumb. The strength of a table lies in its ability to supply large amounts of exact data, whereas the strength of a figure is its dramatic illustration of important trends within the experiment. If you feel that your readers won’t get the full impact of the results you obtained just by looking at the numbers, then a figure might be appropriate.

Of course, an undergraduate class may expect you to create a figure for your lab experiment, if only to make sure that you can do so effectively. If this is the case, then don’t worry about whether to use figures or not—concentrate instead on how best to accomplish your task.

Figures can include maps, photographs, pen-and-ink drawings, flow charts, bar graphs, and section graphs (“pie charts”). But the most common figure by far, especially for undergraduates, is the line graph, so we’ll focus on that type in this handout.

At the undergraduate level, you can often draw and label your graphs by hand, provided that the result is clear, legible, and drawn to scale. Computer technology has, however, made creating line graphs a lot easier. Most word-processing software has a number of functions for transferring data into graph form; many scientists have found Microsoft Excel, for example, a helpful tool in graphing results. If you plan on pursuing a career in the sciences, it may be well worth your while to learn to use a similar program.

Computers can’t, however, decide for you how your graph really works; you have to know how to design your graph to meet your readers’ expectations. Here are some of these expectations:

• Keep it as simple as possible. You may be tempted to signal the complexity of the information you gathered by trying to design a graph that accounts for that complexity. But remember the purpose of your graph: to dramatize your results in a manner that’s easy to see and grasp. Try not to make the reader stare at the graph for a half hour to find the important line among the mass of other lines. For maximum effectiveness, limit yourself to three to five lines per graph; if you have more data to demonstrate, use a set of graphs to account for it, rather than trying to cram it all into a single figure.
• Plot the independent variable on the horizontal (x) axis and the dependent variable on the vertical (y) axis. Remember that the independent variable is the condition that you manipulated during the experiment and the dependent variable is the condition that you measured to see if it changed along with the independent variable. Placing the variables along their respective axes is mostly just a convention, but since your readers are accustomed to viewing graphs in this way, you’re better off not challenging the convention in your report.
• Label each axis carefully, and be especially careful to include units of measure. You need to make sure that your readers understand perfectly well what your graph indicates.
• Number and title your graphs. As with tables, the title of the graph should be informative but concise, and you should refer to your graph by number in the text (e.g., “Figure 1 shows the increase in the solubility rate as a function of temperature”).
• Many editors of professional scientific journals prefer that writers distinguish the lines in their graphs by attaching a symbol to them, usually a geometric shape (triangle, square, etc.), and using that symbol throughout the curve of the line. Generally, readers have a hard time distinguishing dotted lines from dot-dash lines from straight lines, so you should consider staying away from this system. Editors don’t usually like different-colored lines within a graph because colors are difficult and expensive to reproduce; colors may, however, be great for your purposes, as long as you’re not planning to submit your paper to Nature. Use your discretion—try to employ whichever technique dramatizes the results most effectively.
• Try to gather data at regular intervals, so the plot points on your graph aren’t too far apart. You can’t be sure of the arc you should draw between the plot points if the points are located at the far corners of the graph; over a fifteen-minute interval, perhaps the change occurred in the first or last thirty seconds of that period (in which case your straight-line connection between the points is misleading).
• If you’re worried that you didn’t collect data at sufficiently regular intervals during your experiment, go ahead and connect the points with a straight line, but you may want to examine this problem as part of your Discussion section.
• Make your graph large enough so that everything is legible and clearly demarcated, but not so large that it either overwhelms the rest of the Results section or provides a far greater range than you need to illustrate your point. If, for example, the seedlings of your plant grew only 15 mm during the trial, you don’t need to construct a graph that accounts for 100 mm of growth. The lines in your graph should more or less fill the space created by the axes; if you see that your data is confined to the lower left portion of the graph, you should probably re-adjust your scale.
• If you create a set of graphs, make them the same size and format, including all the verbal and visual codes (captions, symbols, scale, etc.). You want to be as consistent as possible in your illustrations, so that your readers can easily make the comparisons you’re trying to get them to see.

How do I write a strong Discussion section?

The discussion section is probably the least formalized part of the report, in that you can’t really apply the same structure to every type of experiment. In simple terms, here you tell your readers what to make of the Results you obtained. If you have done the Results part well, your readers should already recognize the trends in the data and have a fairly clear idea of whether your hypothesis was supported. Because the Results can seem so self-explanatory, many students find it difficult to know what material to add in this last section.

Basically, the Discussion contains several parts, in no particular order, but roughly moving from specific (i.e., related to your experiment only) to general (how your findings fit in the larger scientific community). In this section, you will, as a rule, need to:

Explain whether the data support your hypothesis

• Acknowledge any anomalous data or deviations from what you expected

Derive conclusions, based on your findings, about the process you’re studying

• Relate your findings to earlier work in the same area (if you can)

Explore the theoretical and/or practical implications of your findings

Let’s look at some dos and don’ts for each of these objectives.

This statement is usually a good way to begin the Discussion, since you can’t effectively speak about the larger scientific value of your study until you’ve figured out the particulars of this experiment. You might begin this part of the Discussion by explicitly stating the relationships or correlations your data indicate between the independent and dependent variables. Then you can show more clearly why you believe your hypothesis was or was not supported. For example, if you tested solubility at various temperatures, you could start this section by noting that the rates of solubility increased as the temperature increased. If your initial hypothesis surmised that temperature change would not affect solubility, you would then say something like,

“The hypothesis that temperature change would not affect solubility was not supported by the data.”

Note: Students tend to view labs as practical tests of undeniable scientific truths. As a result, you may want to say that the hypothesis was “proved” or “disproved” or that it was “correct” or “incorrect.” These terms, however, reflect a degree of certainty that you as a scientist aren’t supposed to have. Remember, you’re testing a theory with a procedure that lasts only a few hours and relies on only a few trials, which severely compromises your ability to be sure about the “truth” you see. Words like “supported,” “indicated,” and “suggested” are more acceptable ways to evaluate your hypothesis.

Also, recognize that saying whether the data supported your hypothesis or not involves making a claim to be defended. As such, you need to show the readers that this claim is warranted by the evidence. Make sure that you’re very explicit about the relationship between the evidence and the conclusions you draw from it. This process is difficult for many writers because we don’t often justify conclusions in our regular lives. For example, you might nudge your friend at a party and whisper, “That guy’s drunk,” and once your friend lays eyes on the person in question, she might readily agree. In a scientific paper, by contrast, you would need to defend your claim more thoroughly by pointing to data such as slurred words, unsteady gait, and the lampshade-as-hat. In addition to pointing out these details, you would also need to show how (according to previous studies) these signs are consistent with inebriation, especially if they occur in conjunction with one another. To put it another way, tell your readers exactly how you got from point A (was the hypothesis supported?) to point B (yes/no).

Acknowledge any anomalous data, or deviations from what you expected

You need to take these exceptions and divergences into account, so that you qualify your conclusions sufficiently. For obvious reasons, your readers will doubt your authority if you (deliberately or inadvertently) overlook a key piece of data that doesn’t square with your perspective on what occurred. In a more philosophical sense, once you’ve ignored evidence that contradicts your claims, you’ve departed from the scientific method. The urge to “tidy up” the experiment is often strong, but if you give in to it you’re no longer performing good science.

Sometimes after you’ve performed a study or experiment, you realize that some part of the methods you used to test your hypothesis was flawed. In that case, it’s OK to suggest that if you had the chance to conduct your test again, you might change the design in this or that specific way in order to avoid such and such a problem. The key to making this approach work, though, is to be very precise about the weakness in your experiment, why and how you think that weakness might have affected your data, and how you would alter your protocol to eliminate—or limit the effects of—that weakness. Often, inexperienced researchers and writers feel the need to account for “wrong” data (remember, there’s no such animal), and so they speculate wildly about what might have screwed things up. These speculations include such factors as the unusually hot temperature in the room, or the possibility that their lab partners read the meters wrong, or the potentially defective equipment. These explanations are what scientists call “cop-outs,” or “lame”; don’t indicate that the experiment had a weakness unless you’re fairly certain that a) it really occurred and b) you can explain reasonably well how that weakness affected your results.

If, for example, your hypothesis dealt with the changes in solubility at different temperatures, then try to figure out what you can rationally say about the process of solubility more generally. If you’re doing an undergraduate lab, chances are that the lab will connect in some way to the material you’ve been covering either in lecture or in your reading, so you might choose to return to these resources as a way to help you think clearly about the process as a whole.

This part of the Discussion section is another place where you need to make sure that you’re not overreaching. Again, nothing you’ve found in one study would remotely allow you to claim that you now “know” something, or that something isn’t “true,” or that your experiment “confirmed” some principle or other. Hesitate before you go out on a limb—it’s dangerous! Use less absolutely conclusive language, including such words as “suggest,” “indicate,” “correspond,” “possibly,” “challenge,” etc.

Relate your findings to previous work in the field (if possible)

We’ve been talking about how to show that you belong in a particular community (such as biologists or anthropologists) by writing within conventions that they recognize and accept. Another is to try to identify a conversation going on among members of that community, and use your work to contribute to that conversation. In a larger philosophical sense, scientists can’t fully understand the value of their research unless they have some sense of the context that provoked and nourished it. That is, you have to recognize what’s new about your project (potentially, anyway) and how it benefits the wider body of scientific knowledge. On a more pragmatic level, especially for undergraduates, connecting your lab work to previous research will demonstrate to the TA that you see the big picture. You have an opportunity, in the Discussion section, to distinguish yourself from the students in your class who aren’t thinking beyond the barest facts of the study. Capitalize on this opportunity by putting your own work in context.

If you’re just beginning to work in the natural sciences (as a first-year biology or chemistry student, say), most likely the work you’ll be doing has already been performed and re-performed to a satisfactory degree. Hence, you could probably point to a similar experiment or study and compare/contrast your results and conclusions. More advanced work may deal with an issue that is somewhat less “resolved,” and so previous research may take the form of an ongoing debate, and you can use your own work to weigh in on that debate. If, for example, researchers are hotly disputing the value of herbal remedies for the common cold, and the results of your study suggest that Echinacea diminishes the symptoms but not the actual presence of the cold, then you might want to take some time in the Discussion section to recapitulate the specifics of the dispute as it relates to Echinacea as an herbal remedy. (Consider that you have probably already written in the Introduction about this debate as background research.)

This information is often the best way to end your Discussion (and, for all intents and purposes, the report). In argumentative writing generally, you want to use your closing words to convey the main point of your writing. This main point can be primarily theoretical (“Now that you understand this information, you’re in a better position to understand this larger issue”) or primarily practical (“You can use this information to take such and such an action”). In either case, the concluding statements help the reader to comprehend the significance of your project and your decision to write about it.

Since a lab report is argumentative—after all, you’re investigating a claim, and judging the legitimacy of that claim by generating and collecting evidence—it’s often a good idea to end your report with the same technique for establishing your main point. If you want to go the theoretical route, you might talk about the consequences your study has for the field or phenomenon you’re investigating. To return to the examples regarding solubility, you could end by reflecting on what your work on solubility as a function of temperature tells us (potentially) about solubility in general. (Some folks consider this type of exploration “pure” as opposed to “applied” science, although these labels can be problematic.) If you want to go the practical route, you could end by speculating about the medical, institutional, or commercial implications of your findings—in other words, answer the question, “What can this study help people to do?” In either case, you’re going to make your readers’ experience more satisfying, by helping them see why they spent their time learning what you had to teach them.

Works consulted

We consulted these works while writing this handout. This is not a comprehensive list of resources on the handout’s topic, and we encourage you to do your own research to find additional publications. Please do not use this list as a model for the format of your own reference list, as it may not match the citation style you are using. For guidance on formatting citations, please see the UNC Libraries citation tutorial . We revise these tips periodically and welcome feedback.

American Psychological Association. 2010. Publication Manual of the American Psychological Association . 6th ed. Washington, DC: American Psychological Association.

Beall, Herbert, and John Trimbur. 2001. A Short Guide to Writing About Chemistry , 2nd ed. New York: Longman.

Blum, Deborah, and Mary Knudson. 1997. A Field Guide for Science Writers: The Official Guide of the National Association of Science Writers . New York: Oxford University Press.

Booth, Wayne C., Gregory G. Colomb, Joseph M. Williams, Joseph Bizup, and William T. FitzGerald. 2016. The Craft of Research , 4th ed. Chicago: University of Chicago Press.

Briscoe, Mary Helen. 1996. Preparing Scientific Illustrations: A Guide to Better Posters, Presentations, and Publications , 2nd ed. New York: Springer-Verlag.

Council of Science Editors. 2014. Scientific Style and Format: The CSE Manual for Authors, Editors, and Publishers , 8th ed. Chicago & London: University of Chicago Press.

Davis, Martha. 2012. Scientific Papers and Presentations , 3rd ed. London: Academic Press.

Day, Robert A. 1994. How to Write and Publish a Scientific Paper , 4th ed. Phoenix: Oryx Press.

Porush, David. 1995. A Short Guide to Writing About Science . New York: Longman.

Williams, Joseph, and Joseph Bizup. 2017. Style: Lessons in Clarity and Grace , 12th ed. Boston: Pearson.

You may reproduce it for non-commercial use if you use the entire handout and attribute the source: The Writing Center, University of North Carolina at Chapel Hill

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Learn how to prepare, write and structure a science report.

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The purpose of a scientific report is to talk the reader through an experiment or piece of research you’ve done where you’ve generated some data, the decisions you made, what you found and what it means.

Lab or experimental reports in the Sciences have a very specific structure, which is often known as IMRAD :

• I ntroduction
• R esults and
• D iscussion.

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Whether it’s a shorter lab report or a longer research project or dissertation, science writing of this kind tends to be structured into those sections (or chapters, if it’s a long project or thesis). Empirical research in the Social Sciences which is based on data collection might also use this structure. You’ll probably recognise it too in many of the journal articles you’re reading. There are sometimes variations from this pattern – sometimes results and discussion are combined into one section, sometimes in a longer research project there is a separate literature review in addition to the introduction, or there might be a conclusion as well as the discussion. Social sciences reports might have a theory section too. Always look at the brief for the assignment you have been set, or ask your lecturer or supervisor if you aren’t sure.

As there is a conventional set structure to follow for scientific reports, the main issue tends to be not how to structure it, but knowing what to write in each section, and making sure the right things are in the right places. Each section is clearly marked out with subheadings with a distinct purpose and role in the report, and the reader will expect to find particular things in each part. To help you follow this structure and know which of your points goes where, it might be useful to think about what question each section answers for your reader, and also what type of writing is characteristic of that section – more descriptive (factual), or more analytical (interpretation).

Introduction

The introduction answers two questions, and is mostly descriptive, with more analysis if you’re writing up a research project rather than a lab report:

“What’s the issue here? What do we know about it?” DESCRIPTIVE

The introduction is usually around 15-20% of the report. It offers the reader some context and background information about the issue you’re exploring or the principle you’re verifying, to establish what we’re talking about and to outline what is known about the topic. In a shorter lab report, this is where you might use references to scientific literature, to show you have read about the subject and what you’re basing your understanding on. Keep this part as tightly focussed as you can and don’t be tempted to include lots of detail or go too broad. Think about what the reader needs to know to follow your report, rather than showing everything you’ve learned about the topic. The kind of writing you’re doing here is descriptive – mostly factual statements, backed up with references, to demonstrate your understanding of the background of your experiment or research.

“What are you trying to do and why?” ANALYTICAL

The introduction quickly moves on to the nature of the problem you’re trying to solve, hypothesis you are testing or research question you’re trying to answer. Again, you might want to make reference to other people’s research to demonstrate why this is a problem, what the debate might be or what exactly we don’t know. This kind of writing is higher level, as you’re analysing a problem and evaluating why this research needs to be done. In a research project, this is a very important section, as it’s the justification for your research, but in a lab experiment, you are demonstrating that you understand why this activity has been set rather than just following instructions. You would also state briefly what model, theory, approach or method you have chosen to take and why, what kind of research this is, but not in any detail yet.

Literature review

“What is the current state of knowledge and what don’t we know?” ANALYTICAL

If you are writing up a longer research project or dissertation, you will be doing far more reading with much more critical analysis of existing research and discussion of why yours needs to be undertaken. The introduction might therefore contain so much reference to the literature and so much more analysis that it’s better to add it as a separate section in its own right – the literature review. In a shorter lab report, the references to the literature are integrated within the introduction and tend to be more descriptive -what the literature says rather than what you think about it. In a social sciences report, the literature review might also contain a discussion of the theory you’re using.

“How did you do the research?” DESCRIPTIVE

The methods section really is a pretty straightforward description of what you did to perform the experiment, or collect and process the data. It is often relatively short, about 15-20% of the report, and because it describes what you did, it is written in the past tense, whereas the rest of the report is in the present tense. In a lab resport, it might even be largely based on the experiment brief you were given. Its purpose is to allow your research to be replicated, so it needs to be clear and detailed enough to let another researcher follow it and reproduce what you did, like a recipe. This allows the reader to know exactly how you gathered and processed your data and judge whether your method was appropriate, or if it has any limitations or flaws. The methods section describes what you actually did rather than what you ideally intended to do, so it also includes any places where you departed from your planned approach and things might have gone a bit wrong or unexpectedly. This will help you explain any unusual elements in your results. Depending on the kind of research you are doing, a methods section might list equipment or software used, describe a set up or process, list steps you took, detail models, theories or parameters you employed, describe experiment design, outline survey questions or explain how you chose the sample you studied. 

In a longer research project, you might include some more analytical discussion of why you chose those methods over alternative options, perhaps with some references to other studies which have used those approaches, but this would be part of your introduction or literature review.

“What did you find?​ What do the findings say?” DESCRIPTIVE

This section is where you present your findings, or data. This could take a number of forms, depending on the kind of research you’re doing -it could be text, but very often the data is presented as graphs, tables, images, or other kinds of figure. You might choose to include representative data, rather than all of the results. The results section is a meaty one, perhaps 30-40% of the report in terms of space and importance, but it is dense rather than long and wordy, as figures are often richer and more concise than words. How you represent your data is up to you, and depends on the observations you want to draw out of it.

The results section is one which many people find confusing to write. Its purpose is to present the data, but in a form which is easy for the reader to digest. The results section therefore has some explanation, so the reader knows what they are looking at. For example, it isn’t enough simply to give them a graph or table; there needs to be an explanation of what the figure is, what it contains and how to read it (for example, what the image is of and its scale, what the graph axes are or what the columns and rows in the table represent). You might also draw the reader’s attention to the main features of the data that you want them to notice, such as trends, patterns, correlations, noteworthy aspects or significant areas. However, the results section is mostly descriptive – it’s a slightly digested form of your raw data. It says what the findings are, what the data says, but it doesn’t tell the reader what the results mean – that’s the job of the discussion.

“What do the findings mean?” ANALYSIS

Results in themselves aren’t the full story. Two people can look at the same data, see two different things and interpret it in two different ways. The discussion is where you explain what you think the data means and what it proves. In doing so, you are making an argument, explaining the reasons why you think your interpretation of the data is correct, so this section is very analytical and therefore substantial, about 15-20%. In a discussion, you might be arguing that something is significant, or that it shows a connection, or is due to particular causes. You could comment on the impact of any limitations, how far the findings support your hypothesis, or what further work needs to be done and speculate on what it might find. You might also bring some references to the literature in here, to help support your arguments, explain your findings or show how they are consistent with other studies. The discussion section is likely to be one of the longer ones, as this is where your main argument is.

In some reports, the results and discussion sections are combined, but in general, resist the temptation to comment on your results as you present them, and save this for the later discussion section. Keep the factual results and the more subjective interpretation separate. If you are writing up a longer project, dissertation or thesis, you might have more than one results or discussion chapter to cover different aspects of your research.

“What’s the overall point you’re making? So what?”​  ANALYTICAL

If you have been asked to write a conclusion separately to the discussion, this is where you take a big step back from the detailed analysis of the data in your discussion, and summarise overall what you think your research has shown. You might comment on its significance or implications for our understanding of the topic you outlined in the introduction, or where it agrees or disagrees with other literature. You are making a judgement statement about the validity, quality and significance of your study and how it fits with existing knowledge. Some reports combine this with the discussion though. The conclusion is fairly short, about 5%, as you’re not adding new information, just summing it all up into your main overall message. It is analytical though, so although you are restating the points you’ve already made, you are synthesising it in a new way so your reader understands what the research has demonstrated and what has been learned from it.

Other elements

If you are writing a longer research project, dissertation or thesis, you would include an abstract at the beginning, summarising the whole report for the reader. The abstract is read separately from the report itself, as it helps the reader get a sense of what it contains and whether they want to read the whole thing.

At the end of the main report, you would include elements such as your reference list, and any appendices if you are using them. An appendix is generally used for elements which are long and detailed information, but which are not central to your points and which would disrupt the flow of the report if you included them in the main body.

Writing an IMRAD report

Although this order is the way a science report is structured, you don’t have to write it in this order. Many people begin with the more descriptive elements, the methods and results, and then write the more analytical sections around them. The method and results can be written up at an earlier stage of the research too, as you go, whereas the discussion can only be written once you’ve done the research and collected and analysed the data.

Checking your structure

When planning your writing or editing a draft, you could use this approach to help you check that you are following this structure.

• Take the question that each section poses. Is there anything in the section which does not directly answer this question? This will help you decide if there’s anything irrelevant you need to delete. Is there anything which answers the question raised by a different section? In this case, it’s in the wrong place and needs moving.
• Highlight which parts of your writing are more descriptive and factual, and which are more analytical, justifying or interpreting. Does that fit with the kind of writing expected in each section? If not, you may need to move some of your points around or change the balance of the kinds of points you’re making.

Download this guide as a PDF

Structuring a science report.

Learn how to prepare, write and structure a science report. **PDF Download**

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Science reports

The purpose of a science report is to clearly communicate your key message about why your scientific findings are meaningful. In order to do this, you need to explain why you are testing a hypothesis, what methodology you used, what you found, and why your findings are meaningful. This requires a clear link between your introduction and your analysis/discussion.

Science reports tend to have a more typical structure than business reports. The structure is designed to clearly outline the key message of the research. It does this through indicating existing research, the significance of the current research, the research aim or hypothesis, what research was actually conducted, what was found, what the findings mean and imply. The structure in the table below outlines a typical scientific report.

Introduction

Introductions need to logically justify, using the relevant literature, the reason for doing the experiment. They typically contain:

• what is being investigated
• the significance of your research
• what previous studies have found in this area
• aims and hypothesis (depending on the discipline)

Body section

The body of a science report contains the bulk of the information and writing. It typically contains the following:

• Methods: a precise and concise explanation of what you did. It is important that this is written in such a way that it could be replicated by other researchers.
• Results: present your findings with appropriately and clearly presented graphs, tables, charts, and explanations.

The discussion is an important section of your report and is often the most challenging to write. This is where you present the analysis of what your findings mean. You outline whether or not your findings support the hypothesis presented in the introduction and the extent to which your findings agree with previous research, also presented in the introduction. If not, you can put forward suggestions as to why and present ideas for ways that future research could address these issues. The discussion is the section that requires careful consideration in terms of structure, in the same way that an essay does. You have a key message about your research and findings that you need to present, and your structure needs to support that.

The final paragraph of your discussion is the conclusion. In science reports, conclusions are brief summaries of the findings and may reemphasise the key message of your report.

Reference documents

• Science report writing, OWeek (PDF, 979.05 KB)

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• ANU Library Academic Skills
• +61 2 6125 2972

Year 8 Science: Example unit plan

This annotated example unit plan complements online lessons developed by Ochre Education and AERO. It includes guidance on how the unit was structured and sequenced and can be used while interacting with other Ochre resources . This unit plan allows teachers to see examples of planning for a sequence of lessons and reflect on their own planning for effective teaching. The annotations also explicitly show some of the decisions made during the planning process.

In addition to these unit plans, AERO has also published a series of lesson plan examples and editable templates for both unit and lesson plans, based on the format presented in these documents.

• Practice implementation
• Year 8 science – Unit 1: Lesson 1
• Unit plan template

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The health benefits and business potential of digital therapeutics

Around the world, the burden of chronic disease is increasing at a rapid pace. Unfortunately, most of these conditions are irreversible and need to be managed through lifelong medication use. However, many patients struggle with adhering to prescribed medications and implementing the behavioral and lifestyle changes that are needed to manage their diseases and stabilize their conditions. Often, physicians and other healthcare providers have little ability to monitor the extent to which patients are following their recommendations and maintaining treatment regimens. As a result, disease burdens at a population level are higher than they should be.

These challenges have created a need for compre­hensive disease management solutions that are best enabled by digital technologies. In 2021, global digital health funding grew 79 percent over the previous year to reach $57.2 billion. 1 State of digital health 2021 report , CB Insights, January 20, 2022. Much attention and funding have flowed toward digital therapeutics , which can include multiple points of intervention along the patient journey, including monitoring, medication adherence, behavioral engagement, person­alized coaching, and real-time custom health recommendations. Within digital health, funding for digital therapeutics (including solutions for mental health) has grown at an even faster pace—up 134 percent from the prior year to reach $8.9 billion in 2021. 2 Heather Landi, “Global digital health funding skyrockets to $57.2B with record cash for mental health, telehealth,” Fierce Healthcare,January 21, 2022.

The impact potential here is significant, both in terms of clinical outcomes and economic benefits for stakeholders and societies. For example, research has shown that digital disease management can drive a 45 percent reduction in the three-month rate of major adverse cardiovascular events (MACEs) and a 50 percent reduction in the 30-day readmission rates for patients after acute myocardial infarction (AMI). 3 Jerilyn K. Allen et al., “Digital health intervention in acute myocardial infarction,” Circulation: Cardiovascular Quality and Outcomes , July 15, 2021, Volume 14, Issue 7; Pawel Buszman et al., “Managed care after acute myocardial infarction (MC-AMI) reduces total mortality in 12-month follow-up—results from Poland’s National Health Fund Program of Comprehensive Post-MI Care—A population-wide analysis,” Journal of Clinical Medicine , 2020, Volume 9, Issue 10. Similarly, it can help lower hemoglobin A1c (HbA1c) levels by one percentage point among patients with type 2 diabetes. 4 Marcy K. Abner et al., “A novel intervention including individualized nutritional recommendations reduces hemoglobin A1c level, medication use, and weight in type 2 diabetes,” JMIR Diabetes , 2017, Volume 2, Issue 1. These data points illustrate the extent to which digital disease manage­ment can help save lives while also keeping patients healthier, which reduces costs for many stake­holders, including the patients themselves.

Research has shown that digital disease management can drive a 45 percent reduction in the three-month rate of major adverse cardiovascular events (MACEs) and a 50 percent reduction in the 30-day readmission rates for patients.

Many players are trying to disrupt the disease management space and develop new innovative models to manage chronic diseases. New-age start-ups bring radical, unconstrained perspectives, while incumbents contribute a much more detailed understanding of the challenges and various stake­holders. Ultimately, both start-ups and incumbents have critical roles to play in disrupting the space and scaling up solutions.

Digital therapeutics can play an important role in chronic-disease management

The burden of chronic diseases has been increasing globally and is expected to continue. Chronic diseases (such as cardiovascular disease, cancer, diabetes, and respiratory disease) were causes or contributing factors in 75 percent of worldwide deaths in 2010 and 79 percent in 2020. By 2030, experts predict that chronic diseases will contribute to as much as 84 percent of total global mortality (exhibit).

Poor monitoring of and adherence to prescribed medications undermine the management of chronic diseases. According to a 2021 global study, compliance among patients with type 2 diabetes ranges from 69 to 79 percent. 5 Diagnosis-related groups (DRG) treatment data: compliance (medication possession ratio) among patients with type 2 diabetes ranges between 69 to 79 percent for top-20 type 2 diabetes drugs; compliance rates for cancers according to a study on 52,450 patients was 37 percent. Patients were found to be most compliant in the 50- to 59-year-old range (49 percent compliant), with decreased compliance at the extremes of age. See Joseph Blansfield et al., “Analyzing the impact of compliance with national guidelines for pancreatic cancer care using the National Cancer Database,” Journal of Gastrointestinal Surgery , August 2018, Volume 22, Issue 8; Nathan Levitan, “Industry Voices—Here’s how AI is impacting the delivery of cancer care right now,” Fierce Healthcare, June 28, 2019.

Of course, chronic diseases need to be managed not only by medication but also with regular monitoring and lifestyle changes. Hence, providers need better end-to-end solutions that proactively and comprehensively monitor patient health, as well as encourage behavioral changes to improve adherence to prescribed medications, diet, and lifestyles.

Digital technologies can play an important role in improving disease management by tackling these challenges. The potential for digital therapeutics to have a big impact is evidenced by the fact that almost two-thirds of the global population now has internet access.

Research has shown that digital solutions for disease management can drive better outcomes for patients living with chronic diseases. Examples include the following:

• A study of ten thousand patients by the Poland National Health Fund showed a 45 percent reduction in three-month MACE rate and a 40 percent reduction in 12-month mortality rate achieved through managed care after AMI. The study involved cardiac rehabilitation with physician guidance, counseling sessions on lifestyle modification, education on the associated risk factors, therapy, and in-person relaxation sessions. 6 “Managed care after acute myocardial infarction,” 2021.
• A study by the Mayo Clinic in partnership with Healarium showed a reduction in three-month rehospitalizations and emergency department visits of 40 percent for patients following AMI, a weight reduction of 4.0 kilograms, and a 10.8-millimeter reduction in systolic blood pressure. The study involved tracking of vitals, diet, and physical activity, setting reminders and goals, information on current health status, and educational courses for patients. 7 Thomas G. Allison et al., “Digital health intervention as an adjunct to cardiac rehabilitation reduces cardiovascular risk factors and rehospitalizations, Journal of Cardiovascular Translational Research , 2015, Volume 8, Issue 5.
• A US study of more than one thousand patients by Johns Hopkins and Corrie Health showed a 50 percent reduction in the 30-day readmission rate in patients following AMI attained through digital-health-based interventions. The study involved continuous monitoring of vitals with the help of connected devices; educational content on procedures, risk factors, and lifestyle modifications; medication management through reminders and tracking adherence; connection with the care team; mood tracking; and the ability to check the side effects of medication. 8 “Digital health intervention in acute myocardial infarction,” 2021.
• A one percentage-point reduction in HbA1c levels was shown in patients with type 2 diabetes who participated in an online patient community as part of Virta Health’s ten-week nonrandomized parallel arm study with 262 outpatients. The patients were given individualized nutritional recommendations through dedicated health coaches, continuous glucose monitoring kits, and online counseling with doctors. 9 “A novel intervention including individualized nutritional recommendations reduces hemoglobin A1c level,” 2017.

Eight key elements of impactful digital therapeutics solutions

Strong digital therapeutics solutions typically contain most or all of the following eight elements:

• Regular monitoring, measurement, and feedback through connected medical devices . Devices such as smart inhalers for respiratory conditions or continuous glucose monitors for diabetes can provide patients with nudges and alerts for out-of-range readings. For example, Boston-based Biofourmis applies digital therapeutics through the continuous monitoring of connected medical devices. The company offers a doctor-prescribed digital platform approved by the US Food and Drug Administration for patients suffering from chronic heart conditions. Its unique wearable devices offer specialty chronic heart care management, including automated medication management combined with a multidisciplinary remote clinical-care team. In 2022, the company was valued at $1.3 billion.
• Keeping payers and providers in the loop. When patients grant access to their vital statistics, insurance companies, caregivers, and employers can reward them for progress in stabilizing or improving chronic health conditions. For example, Livongo, a program from Teladoc Health, allows patients with diabetes to monitor their condition regularly and send alerts via Bluetooth to an app on their own and their caregiver’s phones if readings exceed normal ranges. Over time, patients enrolled with Livongo have achieved a 0.8 percentage-point drop in HbA1c for diabetics, a 10.0-millimeter hemoglobin drop in blood pressure for patients with hypertension, a 1.8-point drop in body mass index, and a 7.0 percent drop in weight. Livongo allows payers and providers to identify and reward good behavior, as well as deter or penalize poor adherence to health plans prescribed by providers.
• Personalized coaching and support . Patients can connect with specific coaches to obtain a personalized diet and exercise plan tailored to their chronic illnesses. This can be very effective from a therapeutic standpoint. A meta-analysis of digital health interventions on blood pressure management showed that digital counseling alongside antihypertensive medical therapy reduced systolic blood pressure by 50 percent relative to controls. 10 Ella Huszti et al., “Advancing digital health interventions as a clinically applied science for blood pressure reduction: A systematic review and meta-analysis,” Canadian Journal of Cardiology , May 2020, Volume 36, Issue 5. For example, Hinge Health has built a $6.2 billion business that offers wearable sensors combined with personalized exercise therapy and one-on-one health coaching.
• Gamified behavioral modification. Digital therapeutics solutions can include gamified challenges and incentives to track and drive adherence to prescribed diets, lifestyle practices, and medications. For example, Discovery, a South African health insurance company, encourages its members to make healthier choices through its Vitality behavioral change program that combines data analytics with rewards and incentives for healthier lifestyle choices.
• Building a thriving community . An active virtual patient community can drive adherence by challenging and motivating patients to live up to their own health goals. For instance, one study of seven thousand patients with amyotrophic lateral sclerosis (ALS), multiple sclerosis, Parkinson’s disease, HIV, fibromyalgia, or mood disorders found that nearly 60 percent thought the PatientsLikeMe health network helped give them a better understanding of the side effects of medications. The study also found that nearly a quarter of patients with mood disorders needed less inpatient care thanks to their use of the PatientsLikeMe site. 11 “PatientsLikeMe,” Agency for Healthcare Research and Quality, accessed January 2023.
• Health mall. A recent McKinsey survey found that 90 percent of healthcare leaders believe that patients interacting with digital health ecosystems want an integrated journey rather than point experiences or solutions. 12 Stefan Biesdorf, Ulrike Deetjen, and Basel Kayyali, “ Digital health ecosystems: Voices of key healthcare leaders ,” McKinsey, October 12, 2021. Healthcare companies can meet this desire for integration by offering digital health malls that include access to prescribed medications, health supplements, wellness products, and diagnostic tests at the click of a button.
• Patient education . Digital education materials can give patients and their family members information on disease conditions, treatment options, diet, and healthy lifestyle choices. For instance, the Midday app launched by Mayo Clinic and digital health start-up Lisa Health provides support, including educational content, to women experiencing menopause. 13 Tia R. Ford, “Lisa Health launches Midday, an app leveraging AI to personalize the menopause journey, in collaboration with Mayo Clinic,” Mayo Clinic, July 19, 2022.
• Advanced analytics to predict and prevent health events . Organizations are working now to build data algorithms that could identify and predict triggers for healthcare events. They could suggest when to take preventative action or where lifestyle and behavioral changes might forestall adverse events.

How incumbents can thrive in the digital therapeutics space

Digital therapeutics have tremendous potential to reduce disease burdens, deliver better clinical outcomes, help providers make more informed treatment decisions, and improve patients’ lives by offering better ways to manage chronic health conditions. Digital therapeutics also offer incumbents access to new sections of the healthcare value chain and a way to play in the much larger end-to-end healthcare market. Given these opportunities, healthcare and pharma incumbents may wish to explore ways to compete and win in this space.

Incumbents have certain inherent advantages in building digital therapeutics offerings. They already have direct access to patients, plus deep knowledge of the pain points in the disease management journey. They also fully understand the disease science that needs to be integrated into the digital health offering.

Still, incumbents also have some work to do to be competitive in digital therapeutics. To successfully launch and scale an offering, they may need to recruit or upskill employees with skills in product development, design, technology, medicine, data science, and strategic partnerships. Incumbents should plan to spend from three to five years building their digital capabilities and inculcating their new digital workforce with the culture, vision, mission, and values to compete successfully against nimble start-ups.

Incumbents that move quickly still have an opportunity to gain a first-mover advantage in the growing digital therapeutics sector, where promising start-ups can receive multibillion-dollar valuations. By developing their own digital therapeutics offerings, incumbents may also find themselves in a stronger position to protect their core businesses from being disrupted by others.

Chirag Adatia is a partner in McKinsey’s Gurugram office, where Samarth Shah is a consultant. Ralf Dreischmeier  is a senior partner in the London office.  Kirtika Sharma is a partner in the Mumbai office.

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Solar Storm Intensifies, Filling Skies With Northern Lights

Officials warned of potential blackouts or interference with navigation and communication systems this weekend, as well as auroras as far south as Southern California or Texas.

By Katrina Miller and Judson Jones

Katrina Miller reports on space and astronomy and Judson Jones is a meteorologist.

A dramatic blast from the sun set off the highest-level geomagnetic storm in Earth’s atmosphere on Friday that is expected to make the northern lights visible as far south as Florida and Southern California and could interfere with power grids, communications and navigations system.

It is the strongest such storm to reach Earth since Halloween of 2003. That one was strong enough to create power outages in Sweden and damage transformers in South Africa.

The effects could continue through the weekend as a steady stream of emissions from the sun continues to bombard the planet’s magnetic field.

The solar activity is so powerful that the National Oceanic and Atmospheric Administration, which monitors space weather, issued an unusual storm watch for the first time in 19 years, which was then upgraded to a warning. The agency began observing outbursts on the sun’s surface on Wednesday, with at least five heading in the direction of Earth.

“What we’re expecting over the next couple of days should be more significant than what we’ve seen certainly so far,” Mike Bettwy, the operations chief at NOAA’s Space Weather Prediction Center, said at a news conference on Friday morning.

For people in many places, the most visible part of the storm will be the northern lights, known also as auroras. But authorities and companies will also be on the lookout for the event’s effects on infrastructure, like global positioning systems, radio communications and even electrical power.

While the northern lights are most often seen in higher latitudes closer to the North Pole, people in many more parts of the world are already getting a show this weekend that could last through the early part of next week.

As Friday turned to Saturday in Europe, people across the continent described skies hued in a mottling of colors.

Alfredo Carpineti , an astrophysicist, journalist and author in North London, saw them with his husband from the rooftop of their apartment building.

“It is incredible to be able to see the aurora directly from one’s own backyard,” he said. “I was hoping to maybe catch a glimpse of green on the horizon, but it was all across the sky in both green and purple.”

Here’s what you need to know about this weekend’s solar event.

How will the storm affect people on Earth?

A geomagnetic storm watch or warning indicates that space weather may affect critical infrastructure on or orbiting near Earth. It may introduce additional current into systems, which could damage pipelines, railroad tracks and power lines.

According to Joe Llama, an astronomer at Lowell Observatory, communications that rely on high frequency radio waves, such as ham radio and commercial aviation , are most likely to suffer. That means it is unlikely that your cellphone or car radio, which depend on much higher frequency radio waves, will conk out.

Still, it is possible for blackouts to occur. As with any power outage, you can prepare by keeping your devices charged and having access to backup batteries, generators and radio.

The most notable solar storm recorded in history occurred in 1859. Known as the Carrington Event, it lasted for nearly a week, creating aurora that stretched down to Hawaii and Central America and impacting hundreds of thousands of miles of telegraph lines.

But that was technology of the 19th century, used before scientists fully understood how solar activity disrupted Earth’s atmosphere and communication systems.

“That was an extreme level event,” said Shawn Dahl, a forecaster at NOAA’s Space Weather Prediction Center. “We are not anticipating that.”

Unlike tornado watches and warnings, the target audience for NOAA’s announcements is not the public.

“For most people here on planet Earth, they won’t have to do anything,” said Rob Steenburgh, a space scientist at NOAA’s Space Weather Prediction Center.

The goal of the announcements is to give agencies and companies that operate this infrastructure time to put protection measures in place to mitigate any effects.

“If everything is working like it should, the grid will be stable and they’ll be able to go about their daily lives,” Mr. Steenburgh said.

Will I be able to see the northern lights?

It is possible that the northern lights may grace the skies this week over places that don’t usually see them. The best visibility is outside the bright lights of cities.

Clouds or stormy weather could pose a problem in some places. But if the skies are clear, even well south of where the aurora is forecast to take place, snap a picture or record a video with your cellphone. The sensor on the camera is more sensitive to the wavelengths produced by the aurora and may produce an image you can’t see with the naked eye.

Another opportunity could be viewing sunspots during the daytime, if your skies are clear. As always, do not look directly at the sun without protection. But if you still have your eclipse glasses lying around from the April 8 event, you may try to use them to try to spot the cluster of sunspots causing the activity.

How strong is the current geomagnetic storm?

Giant explosions on the surface of the sun, known as coronal mass ejections, send streams of energetic particles into space. But the sun is large, and such outbursts may not cross our planet as it travels around the star. But when these particles create a disturbance in Earth’s magnetic field, it is known as a geomagnetic storm.

NOAA classifies these storms on a “G” scale of 1 to 5, with G1 being minor and G5 being extreme. The most extreme storms can cause widespread blackouts and damage to infrastructure on Earth. Satellites may also have trouble orienting themselves or sending or receiving information during these events.

The current storm is classified as G5, or “extreme.” It is caused by a cluster of sunspots — dark, cool regions on the solar surface — that is about 16 times the diameter of Earth. The cluster is flaring and ejecting material every six to 12 hours.

“We anticipate that we’re going to get one shock after another through the weekend,” said Brent Gordon, chief of the space weather services branch at NOAA’s Space Weather Prediction Center.

Why is this happening now?

The sun’s activity ebbs and flows on an 11-year cycle, and right now, it is approaching a solar maximum. Three other severe geomagnetic storms have been observed so far in the current activity cycle, which began in December 2019, but none were predicted to cause effects strong enough on Earth to warrant a watch or warning announcement.

The cluster of sunspots generating the current storm is the largest seen in this solar cycle, NOAA officials said. They added that the activity in this cycle has outperformed initial predictions .

More flares and expulsions from this cluster are expected, but because of the sun’s rotation the cluster will be oriented in a position less likely to affect Earth. In the coming weeks, the sunspots may appear again on the left side of the sun, but it is difficult for scientists to predict whether this will cause another bout of activity.

“Usually, these don’t come around packing as much of a punch as they did originally,” Mr. Dahl said. “But time will tell on that.”

Jonathan O’Callaghan contributed reporting from London.

An earlier version of this article misstated the radio frequencies used by cellphones and car radios. They are higher frequencies, not low.

How we handle corrections

Katrina Miller is a science reporting fellow for The Times. She recently earned her Ph.D. in particle physics from the University of Chicago. More about Katrina Miller

Judson Jones is a meteorologist and reporter for The Times who forecasts and covers extreme weather. More about Judson Jones

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