n (%)
The cross-tabulation between attitude score categories and sociodemographic characteristics is presented in Table 3 . Of the 384 samples analyzed, a significant association was found among health care working settings ( p = 0.005) and work experience ( p = 0.001). No other sociodemographic characteristics, including age, gender, nationality, marital status, education and HCWs category had a significant association with the attitude score categories.
Variables | Low/Medium n (%) | High n (%) | - value |
---|---|---|---|
Age (in years) | |||
Less than 30 | 40 (27.8) | 104 (72.2) | |
30 to 39 | 50 (37.6) | 83 (62.4) | 0.065 |
40 and above | 44 (41.1) | 63 (58.9) | |
Gender | |||
Male | 76 (33.0) | 154 (67.0) | 0.352 |
Female | 58 (37.7) | 96 (62.3) | |
Nationality | |||
Saudi | 93 (34.1) | 180 (65.9) | 0.593 |
Non-Saudi | 41 (36.9) | 70 (63.1) | |
Marital status | |||
Single | 50 (29.9) | 117 (70.1) | 0.132 |
Married | 66 (37.3) | 111 (62.7) | |
Divorced/Widowed | 18 (45.0) | 22 (55.0) | |
Education | |||
Diploma | 32 (39.0) | 50 (61.0) | |
Bachelors | 80 (34.5) | 152 (65.5) | 0.606 |
Masters and above | 22 (31.4) | 48 (68.6) | |
HCW category | |||
Physicians | 39 (33.6) | 77 (66.4) | 0.535 |
Nursing and midwife | 43 (31.2) | 95 (68.8) | |
Pharmacist | 17 (35.4) | 31 (64.6) | |
Lab technicians | 13 (41.9) | 18 (58.1) | |
Other categories | 22 (43.1) | 29 (56.9) | |
Work settings | |||
Primary health centers (PHC) | 32 (25.2) | 95 (74.8) | 0.005 |
General hospital | 50 (35.2) | 92 (64.8) | |
Tertiary care hospital | 52 (45.1) | 63 (54.8) | |
Work experience (in years) | |||
Less than 5 | 31 (24.4) | 96 (75.6) | |
5 to 10 | 64 (48.1) | 69 (51.9) | 0.001 |
More than 10 | 39 (31.5) | 85 (68.5) |
Cross-tabulation between practice score categories and sociodemographic characteristics found a significant association between age groups ( p = 0.001), gender ( p = 0.008), nationality ( p = 0.001), marital status ( p = 0.020), and duration of work experience ( p = 0.001) ( Table 4 ).
Variables | Low/Medium n (%) | High n (%) | - value |
---|---|---|---|
Age (in years) | |||
Less than 30 | 52 (36.1) | 92 (63.9) | |
30 to 39 | 77 (57.9) | 56 (42.1) | 0.001 |
40 and above | 65 (60.7) | 42 (39.3) | |
Gender | |||
Male | 97 (42.2) | 133 (57.8) | 0.008 |
Female | 97 (63.0) | 57 (37.0) | |
Nationality | 0.001 | ||
Saudi | 110 (40.3) | 163 (59.7) | |
Non-Saudi | 84 (75.7) | 27 (24.3) | |
Marital status | |||
Single | 67 (40.1) | 100 (59.9) | |
Married | 104 (58.8) | 73 (41.2) | 0.020 |
Divorced/Widowed | 23 (57.5) | 17 (42.5) | |
Education | |||
Diploma | 32 (39.0) | 50 (61.0) | 0.092 |
Bachelors | 129 (55.6) | 103 (44.4) | |
Masters and above | 33 (47.1) | 37 (52.9) | |
HCW category | |||
Physicians | 47 (40.5) | 69 (59.5) | 0.071 |
Nursing and midwife | 76 (55.1) | 62 (44.9) | |
Pharmacist | 29 (60.4) | 19 (39.6) | |
Lab technicians | 18 (58.1) | 13 (41.9) | |
Other categories | 24 (47.1) | 27(52.9) | |
Work settings | |||
Primary health centers (PHC) | 71 (55.9) | 56 (44.1) | 0.323 |
General hospital | 67 (47.2) | 75 (52.8) | |
Tertiary care hospital | 56 (48.7) | 59 (51.3) | |
Work experience (in years) | |||
Less than 5 | 44 (34.6) | 83 (65.4) | 0.001 |
5 to 10 | 81 (60.9) | 52 (39.1) | |
More than 10 | 69 (55.6) | 55 (44.1) |
Binomial logistic regression analysis on KAP subscales (low/medium vs high) and its association with participants sociodemographic characteristics are presented in Table 5 . The present study found that knowledge score was significantly higher among the age group from 30 to 39 years (ref: age less than 30 years: AOR = 2.25, 95% CI [1.05–4.85], p = 0.04), non- Saudi nationals (ref: Saudi: AOR = 2.84, 95% CI [1.63–4.94], p < 0.001), and those with higher education (ref: diploma holder: AOR for bachelors = 1.98, 95% CI [1.06−3.68], p = 0.04 and AOR for masters and above = 3.78, 95% CI [1.59−8.97], p = 0.03). The attitude score towards BMW management was significantly lower among the HCWs working in tertiary care settings (ref: PHC: AOR = 0.38, 95% CI [0.12–0.69], p = 0.01). Regarding the practice score, the male categories had a significantly higher score (ref: female: AOR = 1.82, 95% CI [1.19–2.99], p = 0.02), while pharmacist (ref: physicians: AOR = 0.39, 95% CI [0.18–0.58], p = 0.02) and lab technicians (ref: physicians: AOR = 0.31, 95% CI [0.11–0.53], p = 0.02) had a significant lower practice score.
Variables | Total | Knowledge | Attitude | Practice | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Low/ Medium n(%) | High n(%) | Adjusted OR (95% CI) | -value | Low/ Medium n(%) | High n(%) | Adjusted OR (95% CI) | -value | Low/ Medium n(%) | High n(%) | Adjusted OR (95% CI) | -value | ||
Age (in years) | |||||||||||||
Less than 30 | 144 | 100 (69.4) | 44 (30.6) | Ref | 40 (27.8) | 104 (72.2) | Ref | 52 (36.1) | 92 (63.9) | Ref | |||
30 to 39 | 133 | 56 (42.1) | 77 (57.9) | 2.25 (1.05–4.85) | 0.04 | 50 (37.6) | 83 (62.4) | 0.99 (0.46–2.13) | 0.98 | 77 (57.9) | 56 (42.1) | 0.70 (0.33–1.52) | 0.37 |
40 and above | 107 | 47 (43.9) | 60 (56.1) | 1.38 (0.52–3.67) | 0.52 | 44 (41.1) | 63 (58.9) | 0.39 (0.14–1.08) | 0.07 | 65 (60.7) | 42 (39.3) | 0.50 (0.18–1.40) | 0.19 |
Gender | |||||||||||||
Female | 154 | 82 (53.2) | 72 (46.8) | Ref | 58 (37.7) | 96 (62.3) | Ref | 97 (63.0) | 57 (37.0) | Ref | |||
Male | 230 | 121 (52.6) | 109(47.4) | 1.24 (0.76–2.05) | 0.38 | 76 (33.0) | 154 (67.0) | 1.05 (0.64–1.74) | 0.84 | 97 (42.2) | 133 (57.8) | 1.82 (1.10–2.99) | 0.02 |
Nationality | |||||||||||||
Saudi | 273 | 165 (60.4) | 108 (39.6) | Ref | 93 (34.1) | 180 (65.9) | Ref | 110 (40.3) | 163 (59.7) | Ref | |||
Non-Saudi | 111 | 38 (34.2) | 73 (65.8) | 2.84 (1.63–4.94) | 0.00 | 41 (36.9) | 70 (63.1) | 1.23 (0.71–2.14) | 0.47 | 84 (75.7) | 27 (24.3) | 0.30 (0.17–1.52) | 0.10 |
Marital status | |||||||||||||
Single | 167 | 106 (63.5) | 61(36.5) | Ref | 50 (29.9) | 117 (70.1) | Ref | 67 (40.1) | 100 (59.9) | Ref | |||
Married | 177 | 75 (42.4) | 102 (57.6) | 1.60 (0.95–2.69) | 0.07 | 66 (37.3) | 111 (62.7) | 0.79 (0.46–1.35) | 0.39 | 104 (58.8)73 | (41.2) | 0.60(0.35–1.03) | 0.06 |
Divorced/Widowed | 40 | 22 (55.0) | 18 (45.0) | 0.87 (0.38–1.99) | 18 (45.0) | 22 (55.0) | 0.58 (0.26–1.32) | 0.19 | 23 (57.5) | 17 | (42.5) | 0.82(0.35–1.90) | 0.64 |
Education | |||||||||||||
Diploma | 82 | 57 (69.5) | 25 (30.5) | Ref | 32 (39.0) | 50 (61.0) | Ref | 32 (39.0) | 50 (61.0) | Ref | |||
Bachelors | 232 | 122 (52.6) | 110 (47.4) | 1.98 (1.06–3.68) | 0.04 | 80 (34.5) | 152 (65.5) | 1.23 (0.66–2.27) | 0.52 | 129 (55.6) | 103 (44.4) | 0.41 (0.22–0.78) | 0.01 |
Masters and above | 70 | 24 (34.3) | 46 (65.7) | 3.78 (1.59–8.97) | 0.03 | 22 (31.4) | 48 (68.6) | 2.13 (0.89–5.09) | 0.09 | 33 (47.1) | 37 (42.9) | 0.47 (0.20–1.14) | 0.09 |
HCW category | |||||||||||||
Physicians | 116 | 57 (49.1) | 59 (50.9) | Ref | 39 (33.6) | 77 (66.4) | Ref | 47 (40.5) | 69 (59.5) | Ref | |||
Nursing and midwife | 138 | 70 (50.7) | 68 (49.3) | 1.35 (0.73–2.49) | 0.34 | 43 (31.2) | 95 (68.8) | 1.16 (0.62–2.16) | 0.65 | 76 (55.1) | 62 (44.9) | 0.53 (0.28–1.01) | 0.05 |
Pharmacist | 48 | 24 (50.0) | 24 (50.0) | 1.30 (0.59–2.85) | 0.51 | 17 (35.4) | 31 (64.6) | 1.28 (0.58–2.82) | 0.55 | 29 (60.4) | 19 (39.6) | 0.39 (0.18–0.58) | 0.02 |
Lab technicians | 31 | 19 (61.3) | 12 (38.7) | 1.12 (0.43–2.88) | 0.82 | 13 (41.9) | 18 (58.1) | 1.09 (0.43–2.76) | 0.86 | 18 (58.1) | 13 (41.9) | 0.31 (0.11–0.53) | 0.02 |
Other categories | 51 | 33 (64.7) | 18 (35.3) | 0.88 (0.68–2.02) | 0.76 | 22 (43.1) | 29 (56.9) | 0.96 (0.42–2.76) | 0.92 | 24 (47.1) | 27 (52.9) | 0.60 (0.25–1.42) | 0.25 |
Work settings | |||||||||||||
PHC | 127 | 70 (55.1) | 57 (44.9) | Ref | 32 (25.2) | 95 (74.8) | Ref | 71 (55.9) | 56 (44.1) | Ref | |||
General hospital | 142 | 80 (56.3) | 62 (43.7) | 0.98 (0.58–1.67) | 0.94 | 50 (35.2) | 92 (64.8) | 0.61 (0.35–1.07) | 0.08 | 67 (47.2) | 75 (52.8) | 1.63 (0.94–2.83) | 0.08 |
Tertiary care hospital | 115 | 53 (46.1) | 62 (53.9) | 1.30 (0.74–2.29) | 0.37 | 52 (45.2) | 63 (54.8) | 0.38 (0.12–0.69) | 0.01 | 56 (48.7) | 59 (51.3) | 1.67 (0.92–3.02) | 0.09 |
Work experience (years) | |||||||||||||
Less than 5 | 127 | 85 (66.9) | 42(33.1) | Ref | 31 (24.4) | 96 (75.6) | Ref | 44 (34.6) | 83 (65.4) | Ref | |||
5 to 10 | 133 | 66 (49.6) | 67 (50.4) | 0.84 (0.39–1.77) | 0.64 | 64 (48.1) | 69 (51.9) | 0.40 (1.91–0.85) | 0.20 | 81 (60.9) | 52 (39.1) | 0.66 (0.32–1.37) | 0.26 |
More than 10 | 124 | 52 (41.9) | 72 (58.1) | 0.99 (0.39–2.57) | 0.99 | 39 (31.5) | 85 (68.3) | 1.43 (0.52–3.88) | 0.49 | 69 (55.6) | 55 (44.4) | 1.14 (0.43–2.99) | 0.79 |
The present study data did not meet the normality assumption criteria. Therefore, we have executed Spearman’s correlation test. The test results revealed a weak positive correlation of knowledge with the attitude ( rho = 0.249, p = 0.001) and practice scores ( rho = 0.104, p = 0.042). Also, a moderately strong positive correlation was found between attitude and practice scores ( rho = 0.470, p = 0.001) ( Table 6 ).
Variable | rho / - value |
---|---|
Knowledge–Attitude | .249/0.002 |
Knowledge–Practice | .104/0.042 |
Attitude–Practice | 0.470/0.001 |
Improper handling of medical waste generated at health care facilities may pose a serious threat to the HCWs, common people and the surrounding environment, asserted by the WHO, UN, and CDC ( WHO, 2021 ; CDC, 2021 ). Since the HCWs play an important role in regulated biomedical waste disposal, it is important to have a high level of awareness. This emphasizes the importance of evaluating the knowledge, attitude, and practice of HCWs with respect to BMW management and the factors that influence them.
Knowledge is an essential resource in health science education, and inadequate knowledge may lead to improper application of knowledge that may be detrimental to any healthcare organization ( Karimi, Hosseinian & Ahanchian, 2014 ; Shahmoradi, Safadari & Jimma, 2017 ). The present study results revealed that less than half (47.1%) of the participants had high knowledge of medical waste management generated at their work settings. Similar to our study findings, a recent survey conducted by Jalal SM in the Al-Hasa region of the KSA also found that only 41% of the healthcare professionals had excellent knowledge of biomedical waste disposal ( Jalal et al., 2021 ). Interestingly, surveys conducted in some other countries also reported that a low proportion of the HCWs had favorable knowledge of healthcare handling and disposal ( Deress et al., 2018 ; Olaifa, Govender & Ross, 2018 ; Woromogo et al., 2020 ; Krithiga et al., 2021 ). In contrast to our study, a study conducted by Reddy & Al Shammari (2017) in the Hail region of the KSA and Akkajit, Romin & Assawadithalerd (2020) in Thailand stated that a higher proportion of healthcare professionals had good knowledge. The possible difference between our study and the latter studies could be the inclusion of healthcare facilities. The present study included multiple healthcare facilities (PHCs, general and tertiary hospitals), while later included outpatient clinics and PHCs.
Our study found a significant association between knowledge category and age groups (ref: age less than 30 years: AOR = 2.25, 95% CI [1.05–4.85], p = 0.04), nationality(ref: Saudi: AOR = 2.84, 95% CI [1.63–4.94], p < 0.001), and education status (ref: diploma holder: AOR = 3.78, 95% CI [1.59−8.97], p = 0.03) Other surveys conducted in the KSA, and other countries support the present study results. Jalal et al. (2021) conducted a survey in 2021 which also revealed a statistically significant association between the excellent knowledge category and the level of education qualification, genders, and work experience. However, the present study did not find a significant association between gender and knowledge category. Educational qualification is one of the important factors that influence the ability to have high knowledge. The results of the current study revealed that HCWs who had a higher level of education had a significantly higher level of knowledge than diploma holders (ref: diploma holder: AOR = 3.78, 95% CI [1.59−8.97], p = 0.03). Similar to the current study findings, other surveys conducted by Deress et al. (2018) , Reddy & Al Shammari (2017) and Dixit et al. (2021) also revealed a positive association among highly qualified healthcare professionals. It is worth mentioning again that all national HCWs working in healthcare facilities had to clear the Saudi Commission for Health Specialties test to get eligible for health sector jobs. However, there are no specific requirements for separate and compulsory BMW management and infection control training to apply for health sector job and contract renewal. A study done by Al-Ahmari, Alkhaldi & Al-Asmari (2021) reported that the majority of the primary care professionals did not receive sufficient infection control training programs, which affects their knowledge significantly. The Saudi government initiated Saudization for health sector jobs and young Saudi graduates are entering the job market. This could be the possible reason for the significant association between knowledge scores with the nationality and age group ( Elsheikh et al., 2018 ; Al-Hanawi, Khan & Al-Borie, 2019 ).
A positive attitude will guide the HCWs to follow the standards, protocols, and evidence-based practices established by the healthcare organization ( Mariano et al., 2018 ; Sayankar, 2015 ). This study found that nearly two-thirds of the participants had a high attitude towards biomedical waste disposal (65.1%). Using binomial logistic regression analysis, a significant association with attitude was found among different work settings (ref: PHC: AOR = 0.38, 95% CI [0.12–0.69], p = 0.01), and no other sociodemographic variables were significantly associated with attitude. Identical to our study findings, a study by ( Dalui, Banerjee & Roy, 2021 ) also found that a high proportion of healthcare providers had an excellent attitude towards BMW management. Another study conducted in Cairo, Egypt, reported that the duration of work experience was not significantly associated with attitude ( Hakim, Mohsen & I, 2014 ). Interestingly, some studies found that doctors had a higher positive attitude towards healthcare waste disposal than nurses and other HCWs ( Reddy & Al Shammari, 2017 ; Hakim, Mohsen & I, 2014 ; Basavaraj, Shashibhushan & Sreedevi, 2021 ). These huge variations in the results among different studies could be due to the variations in data collection tools, survey settings, and cultural variations.
The present study results revealed that only half of the participants had high scores in practice. Our study found a positive association with practice scores were found among male gender (ref: female: AOR = 1.82, 95% CI [1.19–2.99], p = 0.02), and HCW category (ref: physicians: AOR = 0.39, 95% CI [0.18–0.58], p = 0.02). Similar to our study, Reddy & Al Shammari (2017) also reported that only 50% of the HCWs had excellent practice scores. In contrast to the present study results, a survey conducted in Ethiopia reported that a higher proportion of HCWs had a satisfactory practice score ( Deress et al., 2018 ). In contrast to the current study findings, some other surveys found a positive association of duration of work experience and older age with the practice scores ( Reddy & Al Shammari, 2017 ; Akkajit, Romin & Assawadithalerd, 2020 ; Hakim, Mohsen & I, 2014 ). Similar to this study results, some studies found a positive association with the type of HCW ( Dalui, Banerjee & Roy, 2021 ; Rao et al., 2018 ). The present study’s results revealed that BMW management practices were not significantly associated with the marital status of the participants. Similarly, a study conducted by Desta et al. (2018) did not find an association between marital status and good practice. Interestingly, a survey conducted in the KSA in 2021 on assessing KAP among the HCWs on the COVID-19 prevention found a significant association between marital status and appropriate practices ( p = 0.024) ( Almohammed et al., 2021 ).
The Spearman’s rank correlation test results revealed a weak positive correlation of knowledge with the attitude scores ( rho = 0.249, p = 0.001), and a moderately strong positive correlation was found between attitude and practice scores (rho = 0.432, p = 0.001). These findings reassert the importance of association between KAP for the proper BMW management. Furthermore, our results conclude that the HCW’s favorable knowledge led to positive attitude and proper practice. Our study results are supported by several studies that assessed KAP towards healthcare waste management in different countries ( Reddy & Al Shammari, 2017 ; Woromogo et al., 2020 ; Akkajit, Romin & Assawadithalerd, 2020 ).
Even though the present study was conducted with the proper methodology and adequate sample size among different HCWs working in multiple healthcare facilities, certain limitations are to be noted on reading the results of this survey. Firstly, we assessed only the association through this cross-sectional survey, not the causation and direction. Secondly, the possible bias associated with the self-reported data could influence the results of this survey. Finally, this survey was conducted in the northern region of the KSA, and therefore, the findings cannot be generalized to the other areas of the KSA and other countries in the Middle East.
The present study assessed KAP towards BMW among healthcare providers working in different healthcare facilities using a standard and validated tool. Our study revealed that less than half of the participants had insufficient knowledge and practice scores, while one-third had low and medium attitude scores. Furthermore, our results conclude that the HCW’s good knowledge may lead to a positive attitude and proper practice. The findings of this study suggest that a regular training program for the HCWs on BMW management is necessary through symposiums, role-play, interactive lectures, and other feasible training methods. These training programs can be focused and targeted oriented to the HCWs category with low and medium scores in KAP. Finally, a multicentric prospective exploratory study is to be conducted in other regions of the KSA to understand the region-specific training needs of the HCWs.
Supplemental information 1, acknowledgments.
The research team wish to thank all healthcare workers for their participation in this study. We also extend our thanks to the healthcare facilities for facilitating data collection in their healthcare settings. Finally, we wish to thank Dr. Bashayer Farhan ALruwailli, Assistant Professor of Family Medicine, Jouf University for her input for the article during revision time.
This work was funded by the Deanship of Scientific Research at Jouf University under grant number (DSR-2021-01-03144). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
The authors declare there are no competing interests.
Ashokkumar Thirunavukkarasu conceived and designed the experiments, performed the experiments, analyzed the data, prepared figures and/or tables, authored or reviewed drafts of the article, and approved the final draft.
Ahmad Homoud Al-Hazmi conceived and designed the experiments, performed the experiments, prepared figures and/or tables, authored or reviewed drafts of the article, and approved the final draft.
Umar Farooq Dar conceived and designed the experiments, performed the experiments, prepared figures and/or tables, authored or reviewed drafts of the article, and approved the final draft.
Ahmed Mohammed Alruwaili analyzed the data, authored or reviewed drafts of the article, and approved the final draft.
Saleh Dhifallah Alsharari performed the experiments, analyzed the data, authored or reviewed drafts of the article, and approved the final draft.
Fahad Adel Alazmi conceived and designed the experiments, performed the experiments, analyzed the data, authored or reviewed drafts of the article, and approved the final draft.
Saif Farhan Alruwaili analyzed the data, authored or reviewed drafts of the article, and approved the final draft.
Abdullah Mohammed Alarjan conceived and designed the experiments, performed the experiments, analyzed the data, authored or reviewed drafts of the article, and approved the final draft.
The following information was supplied relating to ethical approvals (i.e., approving body and any reference numbers):
The Research Ethics Committee Qurayyat Health Affairs approved this study (Approval number-116).
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Biomedical Waste Management Rules, 2016 (BMWM Rules, 2016) specify that every healthcare facility shall take all necessary steps to ensure that BMW is handled without any adverse effect on human and environmental health. This document contains six schedules, including the category of BMW, the color coding and type of containers, and labels for ...
Comprehensive management of biomedical waste relies on a. blend of ed ucation and awareness efforts. Education and. dissemination of knowledge ensure that healthcare personnel, waste handlers and ...
It covers the origins of biomedical waste, emphasizes the difficulties faced, analyzes conventional approaches, compares the 1998 and 2016 regulations, examines global waste management practices ...
Prof. Krishna Kant Dave, Nalini K Bhatt. Abstract - The Bio-medical Waste (Management and. Handling) Rules, 1998 and further amendments were passed. for the regulation of bio-medical waste management. On 28. March 2016, Biomedical Waste Management Rules 2016 were. also notified by Central Government.
2016; 94:424-432. doi: 10.2471/BLT.15. ... Singh A. Healthcare waste management: A state-of-the-art literature review. Int. J. Environ. Waste Manag. 2016; 18:120-144. doi: 10.1504 ... Kumari R. Knowledge, awareness and attitude regarding biomedical waste management among medical students in a tertiary health care centre: A cross sectional ...
Find methods information, sources, references or conduct a literature review on BIOMEDICAL WASTE MANAGEMENT. ... Latest Biomedical Waste Management Rules, 2016, and (Amendment) Rules, 2018, were ...
The aim of this review article is to provide systematic evidence-based information along with a comprehensive study of BMW in an organized manner. The waste generated in various hospitals and healthcare facilities, including the waste of industries, can be grouped under biomedical waste (BMW). The constituents of this type of waste are various infectious and hazardous materials.
Timeline for biomedical waste management rules India. India implemented Biomedical Waste Management (BMWM) rules first in 1998 and then a more comprehensive legislation- BMWM rules, 2016 and their amendments in 2018 and 2019. [3] COVID19 was declared as a pandemic in March 2020 and India had responded with stringent guidelines from CPCB.
Biomedical Waste Management Rules, 2016 (BMWM Rules, 2016) specify that every healthcare facility shall take all necessary steps to ... This systematic review is conducted to obtain essential, up-to-date information on BMW for the practical application of its management. The highlight of the management of BMW is that the
A comprehensive review of the literature was conducted utilizing reputable databases, including PubMed, Google Scholar, Scopus, Web of Science, and Embase. ... The Biomedical Waste Management Rules, 2016, which offer recommendations for secure and environmentally friendly ways to handle biomedical waste, regulate this process in India .
Introduction: Biomedical waste poses physical, chemical, radiological, and microbiological risks to the public and health-care workers (HCWs) for current and future generations. Aim: The aim was to gauge the depth of understanding amongst HCWs on biomedical waste management (BMWM). Materials and methods: A predesigned questionnaire on knowledge, attitude, and practices on BMWM Rules, 2016 ...
Geneva: Secretariat of the Stockholm Convention; 2006. 9. Bio-Medical Waste Management Rules, 2016. Published in the Gazette of India, Extraordinary, Part II, Section 3, Sub-Section (i), Government of India Ministry of Environment, Forest and Climate Change. Notification; New Delhi, the 28th March, 2016. ... Review of health impacts from ...
The safe and sustainable management of biomedical waste (BMW) is social and legal responsibility of all people supporting and financing health-care activities. Effective BMW management (BMWM) is mandatory for healthy humans and cleaner environment. This article reviews the recent 2016 BMWM rules, practical problems for its effective ...
sequences and a signifi-cant impact on the environment. The Ministry of Environment and Forests (MoEF) has notified the new Biomedical Waste Management rules (BMWM Rules, 2016) on March 28, 2016, under the Environment (protection) Act, 1986, to repl. ce the earlier rules (1998) and the amendments thereof. These rules shall apply to all persons ...
A systematic review of research articles has been done to document the on-going scientific discussion on COVID-19 related BMW (Yang et al., 2018; Mardani et al., 2019; Moher et al., 2015).The exploration of scientific articles is based on a few criteria viz.- time limit (March-October 2020), English language, combination of search terms (Biomedical waste/Hospital waste/Medical waste/BMW ...
Review. Methods. To conduct a comprehensive literature search, we used the PubMed and Google Scholar advanced search strategy and websites to obtain articles from PubMed and Scopus using the following terms: ("Biomedical waste" OR "Bio medical waste" OR "Biomedical Waste Management" OR "Bio medical waste and public health" OR "Bio medical waste and environment" OR "bio ...
[5,10] As per the revised rules of Biomedical waste management (2016) by WHO or National AIDS Control Organization guidelines, additional importance has been given to pretreatment of Biomedical ...
Biomedical waste management rule (2016) redefines the classification of ... biomedical waste management were finally met the review's inclusion criteria. ... LITERATURE SEARCH Relevant studies published in the period from 2012-2016 were identified by using electronic databases: Medline, EMBASE & Google scholar. Search strategy used the ...
Review on Bio-Medical Waste Management - written by Sahil Sanjeev Salvi , Shubhangi Waghmare , Vikas Thombare published on 2022/01/17 download full article with reference data and citations ... To decide to use proper technique for the bio medical waste management. LITERATURE REVIEW. ... 2016, 8(4):670-676 Review Article ISSN 0975-7384 CODEN ...
Writing a literature review on biomedical waste management poses several challenges, including navigating vast amounts of literature from different disciplines, synthesizing diverse perspectives from various sources, and maintaining objectivity. It requires extensive research, critical analysis, and organizing relevant information coherently while properly citing sources to avoid plagiarism ...
Biomedical waste generated during the diagnosis, isolation, and treatment of coronavirus disease 2019 (COVID-19) patients can also be the source of new infections; hence, it needs special consideration. Previous guidelines for the management of biomedical ...
Pubmed Review of Literature on Biomedical Waste Management - Free download as PDF File (.pdf), Text File (.txt) or read online for free. pubmed review of literature on biomedical waste management
The COVID-19 pandemic worsens the existing healthcare waste burden as healthcare waste management during the COVID-19 pandemic has faced several challenges due to increased production of infectious waste, interruption of recycling strategy, and inadequate resources to handle increased waste production (Dehal, Vaidya & Kumar, 2022; Kothari et al ...