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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
OBJECTIVES: 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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8006833/ https://www.ncbi.nlm.nih.gov/pubmed/33771822 http://dx.doi.org/10.1136/bmjopen-2020-037602 |
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author | Kamba, Pakoyo Fadhiru Mulangwa, John Kageni, Peter Balikuna, Sulah Kengo, Allan Mutamba, Brian Byamah Sewankambo, Nelson Adome, Richard Odoi Byakika-Kibwika, Pauline |
author_facet | Kamba, Pakoyo Fadhiru Mulangwa, John Kageni, Peter Balikuna, Sulah Kengo, Allan Mutamba, Brian Byamah Sewankambo, Nelson Adome, Richard Odoi Byakika-Kibwika, Pauline |
author_sort | Kamba, Pakoyo Fadhiru |
collection | PubMed |
description | OBJECTIVES: 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 analysed by multivariate logistic regression. RESULTS: From desk review, 145 (11.4%) patients had history of CPD non-medical use and 36 (2.8%) had used illicit drugs. Of 988 patients who provided urine, 166 (16.8%) self-medicated CPDs, particularly benzodiazepines while 12 (1.2%) used illicit drugs. Of those with drug-positive urine, 123 (69.1%) had no documented history of CPD non-medical and illicit drug use. Being an inpatient (OR=10.90, p<0.001) was independently associated with CPD non-medical use. Additionally, being an inpatient (OR=8.29, p<0.001) and tobacco consumption (OR=1.85, p=0.041) were associated with CPD non-medical and illicit drug use combined. Among participants, 119 (9.3%) reported CPD lifetime use, and this was independently associated with education level (OR=2.71, p<0.001) and history of treatment for substance abuse (OR=2.08, p=0.018). CONCLUSIONS: CPD non-medical use is common among Uganda’s psychiatric patients, and more prevalent than illicit drug use. Rapid diagnostic assays may be needed in psychiatric care in resource limited settings. It is necessary to assess how CPD non-medical use impacts mental care outcomes and patient safety. High risk groups like inpatients and tobacco consumers should be prioritised in psychiatric screening. |
format | Online Article Text |
id | pubmed-8006833 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-80068332021-04-16 Predictors of controlled prescription drug non-medical and lifetime use among patients accessing public mental health services in Uganda: a cross-sectional study Kamba, Pakoyo Fadhiru Mulangwa, John Kageni, Peter Balikuna, Sulah Kengo, Allan Mutamba, Brian Byamah Sewankambo, Nelson Adome, Richard Odoi Byakika-Kibwika, Pauline BMJ Open Mental Health OBJECTIVES: 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 analysed by multivariate logistic regression. RESULTS: From desk review, 145 (11.4%) patients had history of CPD non-medical use and 36 (2.8%) had used illicit drugs. Of 988 patients who provided urine, 166 (16.8%) self-medicated CPDs, particularly benzodiazepines while 12 (1.2%) used illicit drugs. Of those with drug-positive urine, 123 (69.1%) had no documented history of CPD non-medical and illicit drug use. Being an inpatient (OR=10.90, p<0.001) was independently associated with CPD non-medical use. Additionally, being an inpatient (OR=8.29, p<0.001) and tobacco consumption (OR=1.85, p=0.041) were associated with CPD non-medical and illicit drug use combined. Among participants, 119 (9.3%) reported CPD lifetime use, and this was independently associated with education level (OR=2.71, p<0.001) and history of treatment for substance abuse (OR=2.08, p=0.018). CONCLUSIONS: CPD non-medical use is common among Uganda’s psychiatric patients, and more prevalent than illicit drug use. Rapid diagnostic assays may be needed in psychiatric care in resource limited settings. It is necessary to assess how CPD non-medical use impacts mental care outcomes and patient safety. High risk groups like inpatients and tobacco consumers should be prioritised in psychiatric screening. BMJ Publishing Group 2021-03-26 /pmc/articles/PMC8006833/ /pubmed/33771822 http://dx.doi.org/10.1136/bmjopen-2020-037602 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Mental Health Kamba, Pakoyo Fadhiru Mulangwa, John Kageni, Peter Balikuna, Sulah Kengo, Allan Mutamba, Brian Byamah Sewankambo, Nelson Adome, Richard Odoi Byakika-Kibwika, Pauline Predictors of controlled prescription drug non-medical and lifetime use among patients accessing public mental health services in Uganda: a cross-sectional study |
title | Predictors of controlled prescription drug non-medical and lifetime use among patients accessing public mental health services in Uganda: a cross-sectional study |
title_full | Predictors of controlled prescription drug non-medical and lifetime use among patients accessing public mental health services in Uganda: a cross-sectional study |
title_fullStr | Predictors of controlled prescription drug non-medical and lifetime use among patients accessing public mental health services in Uganda: a cross-sectional study |
title_full_unstemmed | Predictors of controlled prescription drug non-medical and lifetime use among patients accessing public mental health services in Uganda: a cross-sectional study |
title_short | Predictors of controlled prescription drug non-medical and lifetime use among patients accessing public mental health services in Uganda: a cross-sectional study |
title_sort | predictors of controlled prescription drug non-medical and lifetime use among patients accessing public mental health services in uganda: a cross-sectional study |
topic | Mental Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8006833/ https://www.ncbi.nlm.nih.gov/pubmed/33771822 http://dx.doi.org/10.1136/bmjopen-2020-037602 |
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