摘要
Background: Solid medical waste (SMW) is generated from the healthcare industry but can also be found in households when activity involving patient care occurs. Its hazardous properties require special treatment to minimize hazards to the environment. To achieve this, SMW must be safely diverted from house-holds using a systemic approach, which should be informed by the quantities generated and factors associated with generation. Objective: To characterize household SMW in terms of quantity and composition and to describe the factors associated with its generation. Methods: Manual sorting of household waste was conducted in 60 households to measure quantities of SMW and its components in Ga South Municipal Assembly, Accra, Ghana. Sample collection took place in the wet season (October, 2014) and dry season (December, 2014/January 2015). Rates of generation and percentage composition computed. Factors influencing generation were evaluated with non-parametric tests and quantile regression analysis. Statistical significance was set at p -3 kg/person/day. Pharmaceutical waste and sharps waste comprised 98% and 2% of SMW respectively. Generation rates were significantly higher in the wet season than in the dry season (z = 3.129, p = 0.002). Households where medical complaints were reported generated significantly less SMW at the 5th, 10th, 25th and 50th quantiles (β = -2.711, p = 0.001;β = -2.949;p < 0.001;β = -3.429, p < 0.001;β = -4.600, p < 0.001 respectively). Conclusion: SMW was generated in relatively small quantities in households. However, the large proportion of pharmaceuticals with mostly antibiotics raises concerns about drug resistance among other potential hazards.
Background: Solid medical waste (SMW) is generated from the healthcare industry but can also be found in households when activity involving patient care occurs. Its hazardous properties require special treatment to minimize hazards to the environment. To achieve this, SMW must be safely diverted from house-holds using a systemic approach, which should be informed by the quantities generated and factors associated with generation. Objective: To characterize household SMW in terms of quantity and composition and to describe the factors associated with its generation. Methods: Manual sorting of household waste was conducted in 60 households to measure quantities of SMW and its components in Ga South Municipal Assembly, Accra, Ghana. Sample collection took place in the wet season (October, 2014) and dry season (December, 2014/January 2015). Rates of generation and percentage composition computed. Factors influencing generation were evaluated with non-parametric tests and quantile regression analysis. Statistical significance was set at p -3 kg/person/day. Pharmaceutical waste and sharps waste comprised 98% and 2% of SMW respectively. Generation rates were significantly higher in the wet season than in the dry season (z = 3.129, p = 0.002). Households where medical complaints were reported generated significantly less SMW at the 5th, 10th, 25th and 50th quantiles (β = -2.711, p = 0.001;β = -2.949;p < 0.001;β = -3.429, p < 0.001;β = -4.600, p < 0.001 respectively). Conclusion: SMW was generated in relatively small quantities in households. However, the large proportion of pharmaceuticals with mostly antibiotics raises concerns about drug resistance among other potential hazards.
