Browsing by Author "Mulangwa, John"

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    Compliance of private pharmacies in Uganda with controlled prescription drugs regulations: a mixed-methods study
    (Substance abuse treatment, prevention, and policy, 2020) Kamba, Pakoyo Fadhiru; Mulangwa, John; Kaggwa, Bruhan; Kitutu, Freddy Eric; Kaulukusi Sewankambo, Nelson; Tebasoboke Katabira, Elly; Byakika-Kibwika, Pauline; Odoi Adome, Richard; Bollinger, Robert Cyril
    Controlled prescription drug use disorders are a growing global health challenge in Sub-Saharan Africa. Effective supply chain regulations on dispensing and stock control are important for controlling this epidemic. Since compliance with these regulations in resource-limited countries is poor, there is need to understand its predictors in order to reduce the risk of prescription drug use disorders. Methods: A mixed-methods study utilizing a structured questionnaire and a simulated client guide was undertaken in Kampala and Mbale towns in Uganda. The questionnaire recorded self-reported dispensing and verified stock control practices and their covariates from 101 private pharmacies. The guide recorded actual dispensing practices from 27 pharmacies. Snowball sampling was done to enrich the sample with pharmacies that stock opioids. The mean compliance with good dispensing and stock control practices was calculated. Multivariate logistic regression analyses were applied to identify predictors of compliance.
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    Predictors of controlled prescription drug non-medical and lifetime use among patients accessing public mental health services in Uganda: a cross-sectional study
    (BMJ Open, 2021) Kamba, Pakoyo Fadhiru; Mulangwa, John; Kageni, Peter; Balikuna, Sulah; Kengo, Allan; Mutamba, Brian Byamah; Sewankambo, Nelson; Odoi Adome, Richard; Byakika-Kibwika, Pauline
    We determined the prevalence of controlled prescription drug (CPD) non-medical and lifetime use and their predictors among patients at three public psychiatric clinics in Uganda to identify missed care opportunities, enhanced screening priorities, and drug control needs. Methods A cross-sectional survey of 1275 patients was performed from November to December 2018. Interviewer administered semi-structured questionnaires, desk review guide and urine drug assays were employed. Questionnaire recorded CPD non-medical and illicit drug use history from patients’ files, CPD lifetime use and risk factors. Desk review guide recorded recently prescribed drugs in patients’ files to corroborate with urine assays. Predictors were analyzed by multivariate logistic regression.