| Literature DB >> 30151013 |
Mohammad Mehedi Hasan1, M Habibur Rahman2.
Abstract
The management and treatment of healthcare waste (HCW) are of great concern owing to its potential hazard to human health and the environment, particularly in developing countries. Nowadays, various technological alternatives are gaining momentum as efficient and favorable waste management options across the world. However, selecting a suitable technology as well as an effective waste management approach for the treatment of HCW is still a challenging task for the municipal authorities. This study renders a comprehensive analysis of healthcare waste management (HCWM) practices and the technological options for its better management through a case study in Khulna, the southwestern division of Bangladesh. A number of healthcare establishments (HCEs) in the study area were selected and a questionnaire survey, as well as field investigations, was performed to find out the present status of HCWM and its limitations. An assessment of different technological alternatives was also carried out using Sustainability Assessment of Technologies (SAT) methodology which could pave the way for treating hazardous waste more efficiently in the Khulna metropolitan area. The study revealed that the overall HCW generation rate and hazardous HCW generation rate in Khulna city were 0.90 kg bed-1 day-1 and 0.18 kg bed-1 day-1, respectively. Assessment of management system revealed that 56% (n = 38) of workers did not receive any form of training in the handling of hazardous waste. Around 54% (n = 47) of them did not use any safety equipment or clothing. It has been found from the study that, among different technological alternatives based on the final score, incineration was the most suitable option for the treatment of hazardous waste in Khulna. Finally, some guidelines have been put forward to improve its existing management practices.Entities:
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Year: 2018 PMID: 30151013 PMCID: PMC6087569 DOI: 10.1155/2018/6879751
Source DB: PubMed Journal: J Environ Public Health ISSN: 1687-9805
Overall HCW (hazardous and nonhazardous) generation rate from different HCEs in Khulna city.
| Name of the HCE | Number of beds | Category | Total generated waste, kg bed−1 day−1 or kg DC−1 day−1 | Mean, kg bed−1 day−1 or kg DC−1 day−1 | Haz. waste, kg bed−1 day−1 or kg DC−1 day−1 | Mean, kg bed−1 day−1 or kg DC−1 day−1 |
|---|---|---|---|---|---|---|
| KGH | 250 | Public | 0.98 | 0.90 | 0.20 | 0.18 |
| KMCH | 500 | Public | 1.15 | 0.25 | ||
| SANSH | 75 | Public | 0.89 | 0.19 | ||
| IDH | 20 | Public | 0.87 | 0.17 | ||
| CDH | 100 | Public | 0.90 | 0.19 | ||
| MCWC | 20 | Public | 0.88 | 0.17 | ||
| GMCH | 500 | Private | 1.00 | 0.20 | ||
| GNCDC | 50 | Private | 0.88 | 0.15 | ||
| AAMCH | 20 | Private | 0.80 | 0.17 | ||
| KSH | 218 | Private | 0.92 | 0.19 | ||
| KDH | 100 | Private | 0.90 | 0.18 | ||
| KSMH | 50 | Private | 0.87 | 0.16 | ||
| DBC | 30 | Private | 0.85 | 0.15 | ||
| IBH | 100 | Private | 0.91 | 0.17 | ||
| FHC | 15 | Private | 0.77 | 0.12 | ||
| KC | 25 | Private | 0.83 | 0.14 | ||
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| DDC | -- | DC | 3.10 | 4.42 | 1.19 | 1.71 |
| MDC | -- | DC | 5.90 | 2.11 | ||
| SDC | -- | DC | 4.50 | 1.80 | ||
| PDC | -- | DC | 4.20 | 1.74 | ||
Notes. DC: Diagnostic Center or Dental Clinic, KGH: Khulna General Hospital, KMCH: Khulna Medical College Hospital, SANSH: Sheikh Abu Naser Specialized Hospital, IDH: Infectious Diseases Hospital; CDH: Cheast Disease Hospital, MCWC: Mother & Child Welfare Center, GMCH: Gazi Medical College Hospital, GNCDC: Garib Newaz Clinic and Diagnostic Center, AAMCH: Ad-din Akij Medical College Hospital, KSH: Khulna Shishu Hospital, KDH: Khulna Diabetic Hospital, KSMH: Khulna Surgical and Medical Hospital, DBC: Dabs Clinic, IBH: Islami Bank Hospital, FHC: Fair Health Clinic, KC: Khalishpur Clinic, DDC: Decent Dental Clinic, MDC: Mahanagar Diagnostic Center, SDC: Setu Diagnostic Center, and PDC: Padma Diagnostic Center.
Figure 1Composition of HCW in Khulna city.
Total amount of HCW generated in Khulna city.
| Types of HCEs | Nonhazardous waste | Infectious waste | Pathological waste | Chemical waste | Plastic waste | Sharp waste | Total |
|---|---|---|---|---|---|---|---|
| Public | 793 | 86 | 47 | 8 | 41 | 23 | 998 |
| Private | 1399 | 135 | 83 | 11 | 56 | 32 | 1716 |
| DC | 96 | 14 | 7 | 5 | 19 | 14 | 155 |
| Grand Total | 2288 | 235 | 137 | 24 | 116 | 69 | 2869 |
Note. This figure was calculated only from 120 registered HCEs (Total number of beds: 3000). It can be mentioned that there were more than 50 nonregistered HCEs existing in Khulna city. These HCFs produced relatively small portion of the overall amount of waste in the studied area.
Scenarios of waste handling and management practices in Khulna metropolis.
| Variables | Frequency (%) | Total respondents (%) | ||
|---|---|---|---|---|
| GH | PH | DC | ||
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| Once per day | 12 (14) | 10 (11) | 4 (5) | 30 |
| Twice per day | 4 (5) | 13 (15) | 5 (6) | 25 |
| Irregular | 8 (9) | 19 (22) | 12 (14) | 45 |
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| Once per day | 14 (16) | 34 (39) | 15 (17) | 73 |
| Twice per day | 6 (7) | 5 (6) | 4 (5) | 17 |
| Irregular | 4 (5) | 3 (3) | 2 (2) | 10 |
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| Morning | 10 (12) | 18 (21) | 4 (5) | 37 |
| Noon | 24 (28) | 14 (16) | 5 (6) | 49 |
| Random | 9 (10) | 2 (2) | 1 (1) | 14 |
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| Systematic | 21 (24) | 7 (8) | 5 (6) | 38 |
| Nonsystematic | 3 (3) | 35 (40) | 16 (18) | 62 |
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| Followed | 7 (8) | 23 (26) | 10 (12) | 46 |
| Not followed | 17 (20) | 18 (21) | 12 (14) | 54 |
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| Got training | 5 (7) | 19 (28) | 6 (9) | 44 |
| Did not get training | 14 (21) | 15 (22) | 9 (13) | 56 |
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| Lecture & video | 16 (24) | 28 (41) | 12 (18) | 82 |
| Video | 2 (3) | 3 (4) | 2 (3) | 10 |
| Lecture | 1 (1) | 3 (4) | 1 (1) | 7 |
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| Satisfactory | 2 (2) | 25 (29) | 10 (11) | 42 |
| Unsatisfactory | 25 (29) | 16 (18) | 9 (10) | 58 |
Notes. GH: public HCEs, PH: private HCEs, DC: diagnostic center or dental clinic.
Figure 2Graphical presentation of preferable waste collection system.
Screening of different HCW treatment alternatives for Khulna municipality.
| Criteria | Incineration with pollution control device | Microwave | Autoclave | Hydropulping | Compaction |
|---|---|---|---|---|---|
| Compliance with national environmental laws | √ | √ | √ | X | X |
| Compliance with multilateral environmental agreements | √ | √ | √ | √ | √ |
| Consistency with WHO policies | √ | √ | √ | √ | √ |
| Flexibility in accepting various waste | √ | √ | √ | X | X |
| Volume reduction | √ | √ | X | √ | √ |
| Technology economically Viable | √ | √ | √ | √ | √ |
| Acceptability of technology in Khulna | √ | √ | √ | X | X |
| Outcome (selected/not selected) | √ | √ | √ | X | X |
Note. √: yes and X: no.
Scoping of SAT methodology for the assessment of HCW treatment options for Khulna metropolis.
| Criteria | Weight ( | Ranking for criteria topic (RCT) | Maximum score for criteria topic (MSCT) | Multiplying Factors (MF) = | Incinerator | Microwave | Autoclave | |||
|---|---|---|---|---|---|---|---|---|---|---|
| Score | Score × MF | Score | Score × MF | Score | Score × MF | |||||
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| Compatibility with local surroundings and natural conditions |
| Ranking for Technical Suitability, RT: | Maximum score for Technical Suitability (MST): | MF1 = 0.047 | 7 | 0.329 | 6 | 0.282 | 5 | 0.235 |
| Preference for locally manufactured technologies |
| MF2 = 0.329 | 5 | 1.645 | 4 | 1.316 | 3 | 0.987 | ||
| Availability of spare parts and usage of local materials |
| MF3 = 0.235 | 6 | 1.410 | 5 | 1.175 | 5 | 1.175 | ||
| Availability of local expertise |
| MF4 = 0.141 | 6 | 0.846 | 5 | 0.705 | 4 | 0.564 | ||
| Track record on performance |
| MF5 = 0.470 | 7 | 3.290 | 6 | 2.820 | 6 | 2.820 | ||
| Compatibility with existing technology or management system |
| MF6 = 0.047 | 5 | 0.235 | 4 | 0.188 | 4 | 0.188 | ||
| Meets capacity requirement |
| MF7 = 0.470 | 8 | 3.760 | 6 | 2.820 | 6 | 2.820 | ||
| Adaptability to future situations |
| MF8 = 0.235 | 8 | 1.880 | 6 | 1.410 | 5 | 1.175 | ||
| Ability to treat a wide the range of healthcare wastes |
| MF9 = 0.470 | 9 | 4.230 | 6 | 2.820 | 6 | 2.820 | ||
| Level of automation/sophistication |
| MF10 = 0.329 | 4 | 1.316 | 6 | 1.974 | 6 | 1.974 | ||
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| Efficacy of microbial inactivation |
| Ranking for environment (resources and emissions), REn: | Maximum score for environment (MSEn): | MF11 = 0.215 | 9 | 1.935 | 7 | 1.505 | 6 | 1.290 |
| Risk levels for workers |
| MF12 = 0.215 | 4 | 0.860 | 5 | 1.075 | 5 | 1.075 | ||
| Risk levels for communities |
| MF13 = 0.215 | 4 | 0.860 | 5 | 1.075 | 5 | 1.075 | ||
| Risk to the environment |
| MF14 = 0.215 | 2 | 0.430 | 6 | 1.290 | 7 | 1.505 | ||
| Air emissions |
| MF15 = 0.215 | 1 | 0.215 | 6 | 1.290 | 6 | 1.290 | ||
| Liquid effluents |
| MF16 = 0.107 | 6 | 0.642 | 2 | 0.214 | 2 | 0.214 | ||
| Solid residues |
| MF17 = 0.107 | 7 | 0.749 | 4 | 0.428 | 4 | 0.428 | ||
| Volume reduction |
| MF18 = 0.215 | 9 | 1.935 | 6 | 1.290 | 2 | 0.430 | ||
| Mass reduction |
| MF19 = 0.065 | 8 | 0.520 | 3 | 0.195 | 1 | 0.065 | ||
| Odor |
| MF20 = 0.215 | 4 | 0.860 | 4 | 0.860 | 4 | 0.860 | ||
| Noise |
| MF21 = 0.107 | 4 | 0.428 | 3 | 0.321 | 5 | 0.535 | ||
| Energy consumption per kg of waste |
| MF22 = 0.215 | 6 | 1.290 | 6 | 1.290 | 5 | 1.075 | ||
| Extent of use of renewable energy |
| MF23 = 0.172 | 5 | 0.860 | 7 | 1.204 | 7 | 1.204 | ||
| Water consumption per kg of waste |
| MF24 = 0.107 | 7 | 0.749 | 3 | 0.321 | 3 | 0.321 | ||
| Material consumption |
| MF25 = 0.107 | 6 | 0.642 | 6 | 0.642 | 6 | 0.642 | ||
| Extent of use of hazardous materials |
| MF26 = 0.107 | 8 | 0.865 | 7 | 0.749 | 7 | 0.749 | ||
| Space requirement |
| MF27 = 0.065 | 6 | 0.390 | 5 | 0.325 | 5 | 0.325 | ||
| Resource recovery capabilities |
| MF28 = 0.107 | 2 | 0.214 | 5 | 0.535 | 6 | 0.642 | ||
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| Estimated capital cost of the treatment technology |
| Ranking for economic aspects, REc: | Maximum score for economic (MSEn): | MF29 = 0.926 | 8 | 7.408 | 6 | 5.556 | 5 | 4.630 |
| Estimated capital costs of all accessories and related equipment |
| MF30 = 0.463 | 3 | 1.389 | 4 | 1.852 | 4 | 1.852 | ||
| Estimated operation and maintenance costs |
| MF31 = 0.926 | 5 | 4.630 | 4 | 3.704 | 3 | 2.778 | ||
| Installation requirements |
| MF32 = 0.463 | 4 | 1.852 | 5 | 2.315 | 5 | 2.315 | ||
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| Community acceptance of the technology |
| Ranking for social aspects, RS: | Maximum score for Social/Cultural (MSS): | MF33 = 0.794 | 7 | 5.558 | 5 | 3.970 | 4 | 3.176 |
| Income generation potential |
| MF34 = 0.397 | 6 | 2.382 | 2 | 0.794 | 2 | 0.794 | ||
| Acceptability of treatment residues by the local landfill |
| MF35 = 0.794 | 6 | 4.764 | 4 | 3.176 | 4 | 3.176 | ||
| Extent of necessary resettlement of people |
| MF36 = 0.397 | 3 | 1.191 | 6 | 2.382 | 6 | 2.382 | ||
| Visible or aesthetic impact |
| MF37 = 0.397 | 5 | 1.985 | 4 | 1.588 | 3 | 1.191 | ||
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| 64.5 | 55.4 | 51.2 | |||||||
Ranking of different HCW treatment options based on final scores.
| Technological options | Technical suitability | Environmental | Economic | Social | Total | Rank |
|---|---|---|---|---|---|---|
| Incineration | 18.9 | 14.4 | 15.3 | 15.9 | 64.5 | 1 |
| Microwave | 15.5 | 14.6 | 13.4 | 11.9 | 55.4 | 2 |
| Autoclave | 14.8 | 13.7 | 11.9 | 10.7 | 51.2 | 3 |
Figure 3Distribution of acquired scores of all criteria of HCW treatment options.