Healthcare waste generation and management risk assessment across ten facilities in Gaibandha Bangladesh

Improper healthcare waste (HCW) management in resource-constrained municipalities creates environmental exposure pathways, yet quantitative risk-monitoring data from secondary urban centers in Bangladesh remain limited. This cross-sectional observational study integrated waste quantification, compositional analysis, compliance assessment, and multi-dimensional environmental risk profiling across 10 healthcare establishments (302 beds; five government and five private facilities) in Gaibandha Municipality, Bangladesh, from August to October 2023. Waste from three consecutive 24-hour collection periods per facility was segregated into eight categories and weighed using a calibrated digital scale (±0.01 kg). Waste-management performance and risk across seven domains were assessed through facility observations and structured interviews. Mean HCW generation was 1.344 ± 0.298 kg bed⁻ 1 day⁻ 1 (95% confidence interval [CI]: 1.130–1.557) and 1.620 ± 0.458 kg patient⁻ 1 day⁻ 1 (95% CI: 1.292–1.948), with no statistically significant government–private differences (independent t-tests; all p > 0.05). Within this municipal sample, patient census explained 97.2% of the variation in total waste generation (Waste = 16.97 + 0.675 × Patients; R 2 = 0.972; p < 0.001), indicating its preliminary potential as a planning variable while requiring validation in larger and seasonally stratified samples. Organic waste dominated the stream (82.6%; 918.8 kg over 30 facility-days), while the operationally classified potentially hazardous fraction was 17.4%, slightly exceeding the World Health Organization (WHO) estimate of approximately 15%; however, low verified segregation limits interpretation of this fraction. The study-defined Multi-Dimensional Risk Score (MDRS) classified four domains as CRITICAL (Risk Gap Index ≥ 6.0) and three as HIGH; overall verified compliance across the eight core indicators was only 21.6%. Observed domain risk scores exceeded the indicative author-assigned benchmark scores derived from WHO guidance (Wilcoxon signed-rank test, p = 0.022). These findings indicate widespread HCW management weaknesses across the sampled facilities and support targeted interventions in flood-prone municipalities where inadequate storage and co-collection of untreated HCW with municipal waste may increase exposure risks during monsoon high-flow events.

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Journal
Scientific Reports
Published
2026-09-04
DOI
https://doi.org/10.1038/s41598-026-69553-9
Primary Topic
Healthcare and Environmental Waste Management
Type
article
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article

Healthcare waste generation and management risk assessment across ten facilities in Gaibandha Bangladesh

S. M. Mijan Uddin, Samiha Tasnim, Moin Uddin, Nurjahan Begum et al.
Scientific Reports
Healthcare and Environmental Waste Management
article

Healthcare waste generation and management risk assessment across ten facilities in Gaibandha Bangladesh

S. M. Mijan Uddin, Samiha Tasnim, Moin Uddin, Nurjahan Begum, Imranul Kabir, Md Abu Jar Gifary
article en

Abstract

Improper healthcare waste (HCW) management in resource-constrained municipalities creates environmental exposure pathways, yet quantitative risk-monitoring data from secondary urban centers in Bangladesh remain limited. This cross-sectional observational study integrated waste quantification, compositional analysis, compliance assessment, and multi-dimensional environmental risk profiling across 10 healthcare establishments (302 beds; five government and five private facilities) in Gaibandha Municipality, Bangladesh, from August to October 2023. Waste from three consecutive 24-hour collection periods per facility was segregated into eight categories and weighed using a calibrated digital scale (±0.01 kg). Waste-management performance and risk across seven domains were assessed through facility observations and structured interviews. Mean HCW generation was 1.344 ± 0.298 kg bed⁻ 1 day⁻ 1 (95% confidence interval [CI]: 1.130–1.557) and 1.620 ± 0.458 kg patient⁻ 1 day⁻ 1 (95% CI: 1.292–1.948), with no statistically significant government–private differences (independent t-tests; all p > 0.05). Within this municipal sample, patient census explained 97.2% of the variation in total waste generation (Waste = 16.97 + 0.675 × Patients; R 2 = 0.972; p < 0.001), indicating its preliminary potential as a planning variable while requiring validation in larger and seasonally stratified samples. Organic waste dominated the stream (82.6%; 918.8 kg over 30 facility-days), while the operationally classified potentially hazardous fraction was 17.4%, slightly exceeding the World Health Organization (WHO) estimate of approximately 15%; however, low verified segregation limits interpretation of this fraction. The study-defined Multi-Dimensional Risk Score (MDRS) classified four domains as CRITICAL (Risk Gap Index ≥ 6.0) and three as HIGH; overall verified compliance across the eight core indicators was only 21.6%. Observed domain risk scores exceeded the indicative author-assigned benchmark scores derived from WHO guidance (Wilcoxon signed-rank test, p = 0.022). These findings indicate widespread HCW management weaknesses across the sampled facilities and support targeted interventions in flood-prone municipalities where inadequate storage and co-collection of untreated HCW with municipal waste may increase exposure risks during monsoon high-flow events.

Scientific Reports
University of Vermont (US), University of Chittagong (BD)
Sustainable cities and communities
Openalex Percentile: Top 8%
Healthcare and Environmental Waste Management
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