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Prescribing patterns of encounters in fourteen general practice clinics in rural Beijing: a cross-sectional study

BACKGROUND: General practice clinics are the main primary care institutions providing ambulatory care in the rural areas of Beijing, rational use of medicines is crucial for the rural primary care system. This study investigated the prescribing patterns of general practice clinics in rural Beijing t...

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Autores principales: Jin, Guanghui, Chen, Chao, Liu, Yanli, Zhao, Yali, Chen, Lifen, Du, Juan, Lu, Xiaoqin, Chen, Jianjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6836536/
https://www.ncbi.nlm.nih.gov/pubmed/31694620
http://dx.doi.org/10.1186/s12913-019-4656-2
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author Jin, Guanghui
Chen, Chao
Liu, Yanli
Zhao, Yali
Chen, Lifen
Du, Juan
Lu, Xiaoqin
Chen, Jianjun
author_facet Jin, Guanghui
Chen, Chao
Liu, Yanli
Zhao, Yali
Chen, Lifen
Du, Juan
Lu, Xiaoqin
Chen, Jianjun
author_sort Jin, Guanghui
collection PubMed
description BACKGROUND: General practice clinics are the main primary care institutions providing ambulatory care in the rural areas of Beijing, rational use of medicines is crucial for the rural primary care system. This study investigated the prescribing patterns of general practice clinics in rural Beijing to provide a baseline for monitoring and promoting the rational use of medicines. METHODS: We performed a cross-sectional study at 14 rural community health service centers in 6 non-central districts of Beijing sampled through a multistage approach, 85 general practitioners were selected from the 14 centers. Total 8500 prescriptions were derived by recording 100 consecutive patients of each the general practitioner. The World Health Organization drug use indicators and an additional indicator were adopted to assess the prescribing patterns. RESULTS: The median number of medicines per encounter was 2.0 (1.0, 2.0); the percentage of generics and essential medicines prescribed were 97.0 and 58.2%, respectively; the percentage of encounters with antibiotics prescribed was 15.1%; the percentage of encounters with injections prescribed was 3.7%; the percentage of encounters with traditional Chinese patent medicines prescribed was 52.5%; the median duration of consultation time was 6.0 (4.0, 10.0) minutes. The most frequently prescribed medicine was aspirin (low dose, 4.6%). The prescribing indicators were influenced by different patient characteristics, patients with new cooperative rural medical scheme were less likely to be prescribed with ≥3 medicines (OR 0.865), essential medicines (OR 0.812) and traditional Chinese patent medicines (OR 0.631), but were more likely to be prescribed with injections (OR 1.551) in the encounter. Patients with ≥3 problems were more likely to be prescribed with ≥3 medicines (OR 6.753), antibiotics (OR 2.875) and traditional Chinese patent medicines (OR 2.926) in the encounter. CONCLUSIONS: Most indicators in this study showed similar or fair performance in comparison with World Health Organization and domestic reports, except the percentage of medicines prescribed from the essential medicine list. Regular monitoring on the prescription quality of general practice clinics in rural Beijing should be maintained.
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spelling pubmed-68365362019-11-12 Prescribing patterns of encounters in fourteen general practice clinics in rural Beijing: a cross-sectional study Jin, Guanghui Chen, Chao Liu, Yanli Zhao, Yali Chen, Lifen Du, Juan Lu, Xiaoqin Chen, Jianjun BMC Health Serv Res Research Article BACKGROUND: General practice clinics are the main primary care institutions providing ambulatory care in the rural areas of Beijing, rational use of medicines is crucial for the rural primary care system. This study investigated the prescribing patterns of general practice clinics in rural Beijing to provide a baseline for monitoring and promoting the rational use of medicines. METHODS: We performed a cross-sectional study at 14 rural community health service centers in 6 non-central districts of Beijing sampled through a multistage approach, 85 general practitioners were selected from the 14 centers. Total 8500 prescriptions were derived by recording 100 consecutive patients of each the general practitioner. The World Health Organization drug use indicators and an additional indicator were adopted to assess the prescribing patterns. RESULTS: The median number of medicines per encounter was 2.0 (1.0, 2.0); the percentage of generics and essential medicines prescribed were 97.0 and 58.2%, respectively; the percentage of encounters with antibiotics prescribed was 15.1%; the percentage of encounters with injections prescribed was 3.7%; the percentage of encounters with traditional Chinese patent medicines prescribed was 52.5%; the median duration of consultation time was 6.0 (4.0, 10.0) minutes. The most frequently prescribed medicine was aspirin (low dose, 4.6%). The prescribing indicators were influenced by different patient characteristics, patients with new cooperative rural medical scheme were less likely to be prescribed with ≥3 medicines (OR 0.865), essential medicines (OR 0.812) and traditional Chinese patent medicines (OR 0.631), but were more likely to be prescribed with injections (OR 1.551) in the encounter. Patients with ≥3 problems were more likely to be prescribed with ≥3 medicines (OR 6.753), antibiotics (OR 2.875) and traditional Chinese patent medicines (OR 2.926) in the encounter. CONCLUSIONS: Most indicators in this study showed similar or fair performance in comparison with World Health Organization and domestic reports, except the percentage of medicines prescribed from the essential medicine list. Regular monitoring on the prescription quality of general practice clinics in rural Beijing should be maintained. BioMed Central 2019-11-06 /pmc/articles/PMC6836536/ /pubmed/31694620 http://dx.doi.org/10.1186/s12913-019-4656-2 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Jin, Guanghui
Chen, Chao
Liu, Yanli
Zhao, Yali
Chen, Lifen
Du, Juan
Lu, Xiaoqin
Chen, Jianjun
Prescribing patterns of encounters in fourteen general practice clinics in rural Beijing: a cross-sectional study
title Prescribing patterns of encounters in fourteen general practice clinics in rural Beijing: a cross-sectional study
title_full Prescribing patterns of encounters in fourteen general practice clinics in rural Beijing: a cross-sectional study
title_fullStr Prescribing patterns of encounters in fourteen general practice clinics in rural Beijing: a cross-sectional study
title_full_unstemmed Prescribing patterns of encounters in fourteen general practice clinics in rural Beijing: a cross-sectional study
title_short Prescribing patterns of encounters in fourteen general practice clinics in rural Beijing: a cross-sectional study
title_sort prescribing patterns of encounters in fourteen general practice clinics in rural beijing: a cross-sectional study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6836536/
https://www.ncbi.nlm.nih.gov/pubmed/31694620
http://dx.doi.org/10.1186/s12913-019-4656-2
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