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Adherence to prescription-writing guidelines for outpatients in Southern Gauteng district hospitals
BACKGROUND: Medical prescription writing is legally and professionally regulated in order to prevent errors that can result in patients being harmed. This study assesses prescriber adherence to such regulations in primary care settings. METHODS: A cross-sectional study of 412 prescriptions from four...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AOSIS
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7343925/ https://www.ncbi.nlm.nih.gov/pubmed/32634012 http://dx.doi.org/10.4102/phcfm.v12i1.2263 |
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author | Nkera-Gutabara, Jacques G. Ragaven, Laurel B. |
author_facet | Nkera-Gutabara, Jacques G. Ragaven, Laurel B. |
author_sort | Nkera-Gutabara, Jacques G. |
collection | PubMed |
description | BACKGROUND: Medical prescription writing is legally and professionally regulated in order to prevent errors that can result in patients being harmed. This study assesses prescriber adherence to such regulations in primary care settings. METHODS: A cross-sectional study of 412 prescriptions from four district hospital outpatient departments (OPDs) was conducted in March 2015. Primary outcome data were obtained by scoring prescriptions for accuracy across four categories: completion of essential elements, use of generic names of medications, use of recommended abbreviations and decimals and legibility. Secondary outcome data sought associations between accuracy scores and characteristics of the OPDs that might influence prescriber adherence. RESULTS: Completion of the essential elements, including patient identifiers, prescriber identifiers, treatment regimen and date scored 44%, 77%, 99% and 99% respectively. Legibility, the use of generic names of medications and the use of recommended abbreviations and decimals scored 90%, 39% and 35%, respectively. Only 38% of prescriptions achieved a global accuracy score (GAS) of between 80% and 100%. A significant association was found between lower GAS and the number of prescriptions written per day (p = 0.001) as well as with the number of prescribers working on that day (p = 0.005), suggesting a negative impact on prescribers’ performance because of workload pressures. CONCLUSION: Low GAS values indicate poor adherence to prescription-writing regulations. Elements requiring substantial improvement include completion of patient and prescriber identifiers, use of generic medication names and the use of recommended abbreviations and decimals. This study provides baseline data for future initiatives for improvement in prescription-writing quality. |
format | Online Article Text |
id | pubmed-7343925 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | AOSIS |
record_format | MEDLINE/PubMed |
spelling | pubmed-73439252020-07-14 Adherence to prescription-writing guidelines for outpatients in Southern Gauteng district hospitals Nkera-Gutabara, Jacques G. Ragaven, Laurel B. Afr J Prim Health Care Fam Med Original Research BACKGROUND: Medical prescription writing is legally and professionally regulated in order to prevent errors that can result in patients being harmed. This study assesses prescriber adherence to such regulations in primary care settings. METHODS: A cross-sectional study of 412 prescriptions from four district hospital outpatient departments (OPDs) was conducted in March 2015. Primary outcome data were obtained by scoring prescriptions for accuracy across four categories: completion of essential elements, use of generic names of medications, use of recommended abbreviations and decimals and legibility. Secondary outcome data sought associations between accuracy scores and characteristics of the OPDs that might influence prescriber adherence. RESULTS: Completion of the essential elements, including patient identifiers, prescriber identifiers, treatment regimen and date scored 44%, 77%, 99% and 99% respectively. Legibility, the use of generic names of medications and the use of recommended abbreviations and decimals scored 90%, 39% and 35%, respectively. Only 38% of prescriptions achieved a global accuracy score (GAS) of between 80% and 100%. A significant association was found between lower GAS and the number of prescriptions written per day (p = 0.001) as well as with the number of prescribers working on that day (p = 0.005), suggesting a negative impact on prescribers’ performance because of workload pressures. CONCLUSION: Low GAS values indicate poor adherence to prescription-writing regulations. Elements requiring substantial improvement include completion of patient and prescriber identifiers, use of generic medication names and the use of recommended abbreviations and decimals. This study provides baseline data for future initiatives for improvement in prescription-writing quality. AOSIS 2020-06-15 /pmc/articles/PMC7343925/ /pubmed/32634012 http://dx.doi.org/10.4102/phcfm.v12i1.2263 Text en © 2020. The Authors https://creativecommons.org/licenses/by/4.0/ Licensee: AOSIS. This work is licensed under the Creative Commons Attribution License. |
spellingShingle | Original Research Nkera-Gutabara, Jacques G. Ragaven, Laurel B. Adherence to prescription-writing guidelines for outpatients in Southern Gauteng district hospitals |
title | Adherence to prescription-writing guidelines for outpatients in Southern Gauteng district hospitals |
title_full | Adherence to prescription-writing guidelines for outpatients in Southern Gauteng district hospitals |
title_fullStr | Adherence to prescription-writing guidelines for outpatients in Southern Gauteng district hospitals |
title_full_unstemmed | Adherence to prescription-writing guidelines for outpatients in Southern Gauteng district hospitals |
title_short | Adherence to prescription-writing guidelines for outpatients in Southern Gauteng district hospitals |
title_sort | adherence to prescription-writing guidelines for outpatients in southern gauteng district hospitals |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7343925/ https://www.ncbi.nlm.nih.gov/pubmed/32634012 http://dx.doi.org/10.4102/phcfm.v12i1.2263 |
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