Household Pharmaceutical Waste Management Practices in the Johannesburg Area, South Africa.
Benele K MagagulaIsaac Tebogo RampediKowiyou YessoufouPublished in: International journal of environmental research and public health (2022)
Pharmaceutical wastes are expected to increase given the increasing population growth rates and rapidly rising economic burden of human diseases. This challenge calls for appropriate measures for the management of such hazardous wastes. The purpose of this survey was to document and investigate existing practices for the handling, storage, and disposal of household pharmaceutical wastes (HPWs) in the Johannesburg area. Primary data were collected via online surveys with self-administered questionnaires completed by respondents. The research found that 77% ( n = 286) of respondents claimed some knowledge about HPWs. Types of medicines that contributed to HPWs included painkillers or analgesics (73%, n = 270) and drugs for treating colds and flu-related illnesses (52%; n = 193). Although there were a few exceptions, the respondents generally exhibited strong disagreements with environmentally unfriendly and health-threatening disposal practices. Moreover, most participants were willing to return expired medicines to pharmacies (40.7%, n = 151), whereas only 8.6% ( n = 32) opposed this solution. Awareness levels tended to vary with employment status, educational qualifications, and place of residence. However, place of residence and household size did not correlate with types of pharmaceutical waste. Additionally, the study found that education attainments significantly influenced the willingness of respondents to return pharmaceutical wastes. Finally, there were no significant differences amongst respondents in terms of waste disposal practices. Altogether, the findings suggest the need for targeted efforts to bring about sustainable waste management at a household level.
Keyphrases
- sewage sludge
- municipal solid waste
- healthcare
- south africa
- anaerobic digestion
- primary care
- heavy metals
- endothelial cells
- health information
- hiv positive
- mental health
- quality improvement
- life cycle
- risk assessment
- electronic health record
- big data
- social media
- machine learning
- drug delivery
- hiv infected
- human immunodeficiency virus
- climate change
- drug induced
- artificial intelligence
- antiretroviral therapy
- psychometric properties