| Literature DB >> 34890437 |
Fredrick Egbenyah1, Emilia Asuquo Udofia2, Jesse Ayivor1, Mary-Magdalene Osei3, John Tetteh2, Patience B Tetteh-Quarcoo3, Eric Sampane-Donkor3.
Abstract
The study aimed to assess disposal practices and quantify the microbial load present in SMW from ten sub-district level healthcare facilities and 385 households in Yilo Krobo municipality, Ghana. Disposal of solid medical waste (SMW) was assessed by questionnaire-based surveys, unstructured interviews and field observations. Microbiological analysis identified species and counts of bacteria present in SMW from both sources. Sociodemographic factors influencing the method of SMW disposal in households were evaluated using logistic regression analysis, with statistical significance set at p<0.05. Open burning (29%), burying (25%) and disposal at a dumpsite (49%) were common methods used by households to discard SMW. SMW disposal at a dumpsite was associated with age of respondents in households. Older people (50+ years) were three times more likely to place SMW in household waste later discarded at a dumpsite, compared to younger persons (20-30 years) [a0R, 95%CI = 3.37, 1.41-8.02]. In sub-district level healthcare facilities, open burning and burying were the most common methods used. Bacillus subtilis, Klebsiella pneumonia, Pseudomonas aeruginosa, Clostridium tetani, Enterococcus faecalis, Acinetobacter spp. Escherichia coli, Bacillus cereus and Enterococcus faecium) were bacteria identified in SMW recovered from both the healthcare facilities and the households. Klebsiella pneumoniae, Acinetobacter spp. and Clostridium tetani were found exclusively in untreated SMW generated in the healthcare facilities. Bacillus spp. and Pseudomonas spp. were found in one sample of treated SMW. The microbial load in SMW from healthcare facilities and households ranged from 0.036 x 103cfc/mg to 0.167 x 103 cfc/mg and from 0.118 x 103cfc/mg to 0.125 x 103cfc/mg respectively. This highlights the need for institutionalizing appropriate treatment methods in sub-district level facilities or strengthening the linkages with higher level facilities to ensure regular and adequate treatment of SMW. Public guidance on management of SMW generated in households which is context specific should also be provided.Entities:
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Year: 2021 PMID: 34890437 PMCID: PMC8664185 DOI: 10.1371/journal.pone.0261211
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Demographic characteristics of healthcare workers.
| Characteristics | Frequency | Percentage |
|---|---|---|
|
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| 20–27 | 21 | 32.8 |
| 28–32 | 22 | 34.4 |
| 33+ | 21 | 32.8 |
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| Male | 14 | 21.9 |
| Female | 50 | 78.1 |
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| 1–3 | 18 | 28.1 |
| 4–5 | 21 | 32.8 |
| 6+ | 25 | 39.1 |
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| Nurse | 48 | 75 |
| Environ. Health /Sanitary officer | 10 | 15.6 |
| Laboratory technician | 2 | 3.1 |
| Dispensary Officer | 1 | 1.6 |
| Others (clinical Assist.) | 3 | 4.7 |
Note: s.d. = standard deviation.
Characteristics of household respondents.
| Demographic | Frequency | Percent |
|---|---|---|
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| 20–30 | 113 | 29.4 |
| 31–40 | 106 | 27.5 |
| 41–50 | 104 | 26.5 |
| 51+ | 62 | 16.6 |
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| Male | 107 | 27.8 |
| Female | 278 | 72.2 |
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| No Formal Education | 138 | 35.8 |
| Basic | 112 | 29.1 |
| Secondary | 80 | 20.8 |
| Tertiary | 55 | 14.3 |
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| Civil service | 14 | 3.6 |
| Public service | 57 | 14.8 |
| Farming | 145 | 37.7 |
| Trading | 116 | 30.1 |
| Others | 53 | 13.8 |
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| Ga/Dangme | 284 | 73.8 |
| Akan | 60 | 15.6 |
| Ewe | 41 | 10.6 |
|
| [33(±15.20)] |
Note: s.d. denotes standard deviation.
Diseases associated with solid medical waste as reported by household respondents.
| Type of disease | Number of responses | Percentage (%) |
|---|---|---|
| Cholera/diarrhea | 381 | 83.0 |
| Cough/flu/catarrh | 79 | 21.0 |
| Covid-19 | 100 | 26.0 |
| TB | 117 | 30.0 |
| Hepatitis B | 59 | 15.0 |
| HIV/AIDS | 136 | 35.0 |
| Other LRTI (pneumonia, asthma) | 74 | 19.0 |
| Skin disease (measles, chickenpox) | 24 | 6.0 |
| Tetanus | 153 | 40.0 |
Bacteria detected in solid medical waste and soil from medical waste dump sites.
| NO | SAMPLE | TIME (hours) | MAXIMUM COUNT (cfc/mg) | ISOLATE(S) |
|---|---|---|---|---|
| 1 | CMS1 | 5 | 0.167 x103 | Bacillus spp., Klebsiella spp., Pseudomonas stutzeri |
| 2 | CMS2 | 5 | 0.143 x103 | Pseudomonas spp., Clostridium tetani, Bacillus spp. |
| 3 | CMS3 | 5 | 0.046 x 103 | Bacillus spp., Enterococcus spp. |
| 4 | HMS1 | 5 | 0.044 x 103 | Bacillus spp. |
| 5 | HMS2 | 5 | 0.071 x 103 | Acinetobacter spp., Pseudomonas spp. |
| 6 | HMS3 | 5 | 0.036 x 103 | E. coli, Enterobacter spp., Bacillus spp. |
| 7 | HHS1 | 5 | 0.122 x 103 | Bacillus spp., Enterococcus spp., |
| 8 | HHS2 | 4 | 0.125 x 103 | E. coli, Bacillus spp., Enterococcus |
| 9 | HHS3 | 4 | 0.118 x 103 | Klebsiella pseudomoniae, E. coli, Citrobacter koseri |
| 10 | HHS4 | 4 | NSG | No significant growth |
| 11 | SSH1 | 5 | 0.295 x 103 | E. coli, Citrobacter spp., Bacillus spp. |
| 12 | SSH2 | 5 | 0.104 x 103 | Enterobacter spp., E. coli, Bacillus spp. |
| 12 | SSH3 | 5 | 0.135 x 103 | Bacillus spp., E. coli, Pseudomonas spp. |
| 11 | TMW1 | 4 | NSG | No significant growth |
| 12 | TMW2 | 4 | 0.041 x 103 | Bacillus spp., Pseudomonas spp. |
| 13 | TMW3 | 4 | NSG | No significant growth |
Key: NSG: No significant growth, Time: delivery time, CMS = solid medical waste from CHPS compound, HMS = solid medical waste from health centres, HHS = solid medical waste generated in homes, SSH = soil obtained from medical waste dumpsites, TMW = treated medical waste item.
Disposal practices of solid medical waste in sub district level.
| Waste Disposal | Healthcare Centre (N = 40) | CHPS (N = 24) | Households (N = 385) |
|---|---|---|---|
| Burning in the open | 39(97.5) | 23(96.3) | 113(29.4) |
| Burying | 38(95.0) | 24(100) | 96(24.9) |
| Dumpsite | - | - | 190(49.3) |
| Incineration | 6(15. 0) | - | - |
| Treatment with disinfectants | 1(2.5) | 1(4.1) | - |
Values provided represent frequency with percentage in brackets.
Relationship between disposal practices and sociodemographic characteristic of household respondents.
| Household Solid Medical Waste Disposal Practices | |||
|---|---|---|---|
| Dump Site | Burning | Burying | |
| Demographic | aOR[95%CI], p-value | aOR[95%CI], p-value | aOR[95%CI], p-value |
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| 20–30 | Ref | Ref | Ref |
| 31–40 | 1.66[0.93–2.87]0.085 | 0.56[0.29–1.04]0.068 | 0.92[0.47–1.81]0.810 |
| 41–50 | 1.68[0.87–3.26]0.122 | 1.30[0.66–2.55]0.444 | 0.42[0.18–0.98]0.045 |
| 51+ | 3.37[1.41–8.02]0.006 | 0.35[0.12–0.99]0.047 | 0.49[0.17–1.45]0.200 |
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| Male | Ref | Ref | Ref |
| Female | 1.18[0.72–1.93]0.518 | 1.04[0.60–1.78]0.896 | 0.73[0.42–1.29]0.282 |
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| No Formal Education | Ref | Ref | Ref |
| Basic | 1.02[0.59–1.77]0.937 | 0.86[0.46–1.63]0.656 | 1.06[0.57–1.97]0.854 |
| Secondary | 1.07[0.55–2.08]0.844 | 0.98[0.47–2.02]0.952 | 0.82[0.36–1.83]0.621 |
| Tertiary | 1.00[0.34–2.96]0.999 | 1.10[0.36–3.36]0.871 | 1.11[0.31–3.98]0.877 |
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| Civil service | Ref | Ref | Ref |
| Public service | 0.75[0.20–2.77]0.665 | 1.27[0.32–4.99]0.727 | 1.20[0.22–6.55]0.834 |
| Farming | 0.56[0.14–2.23]0.409 | 0.79[0.18–3.39]0.754 | 2.53[0.43–14.77]0.302 |
| Trading | 1.07[0.27–4.21]0.926 | 1.01[0.24–4.23]0.987 | 1.20[0.21–7.07]0.837 |
| Others (Mason, mechanics, technicians etc.) | 1.16[0.28–4.88]0.836 | 1.14[0.25–5.06]0.867 | 1.11[0.17–7.13]0.909 |
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| Ga/Dangme | Ref | Ref | Ref |
| Akan | 1.32[0.73–2.38]0.359 | 0.76[0.39–1.46]0.406 | 0.84[0.40–1.76]0.639 |
| Ewe/Guan | 0.59[0.28–1.22]0.152 | 0.95[0.44–2.07]0.896 | 1.81[0.82–3.95]0.139 |
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| 0.99[0.98–1.02]0.901 | 0.99[0.97–1.01]0.409 | 1.02[0.99–1.05]0.183 |
*Statistically significant at p≤0.05; marginal effects of age for burning and burying.