{"title":"社区药房的处方模式和相关因素:埃塞俄比亚Dire Dawa使用AWa重新分类和世界卫生组织抗生素处方指标的跨部门研究。","authors":"Beyene Dereje, Alemseged Workneh, Alemayehu Megersa, Shegaye Yibabie","doi":"10.1007/s40801-023-00367-1","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Antimicrobials are drugs that are more likely to trigger the development of resistance naturally. Thus, they need to be prescribed, dispensed, and administered with greater caution. To underline the significance of their proper usage, antibiotics are divided as AWaRe: Access, Watch, and Reserve. Timely evidence on medicine use, prescribing patterns, and the factors affecting prescribing of antibiotic and their use percentage from AWaRe classification would help decision-makers to draft guidelines that can enable more rational use of medicines.</p><p><strong>Methods: </strong>Prospective and cross-sectional study was conducted among seven community pharmacies in Dire Dawa to assess current prescribing practices related World Health Organization (WHO) indicators and AWaRe classification including antibiotic use and associated factors. Using stratified random sampling techniques, 1200 encounters were reviewed between 1 October and 31 October 2022, and SPSS version 27 was used for the analysis.</p><p><strong>Results: </strong>The average of medications per prescription was 1.96. Antibiotics were included in 47.8% of encounters, while 43.1% were prescribed from the Watch groups. In 13.5% of the encounters, injections were administered. In multivariate models, patient age, gender, and the number of medications prescribed were significantly associated to prescription of antibiotics. Antibiotics were about 2.5 times more likely to be prescribed to patients under the age of 18 years than to subjects 65 years and older [adjusted odds ratio (AOR): 2.51, 95% confidence interval (CI): 1.88-5.42; P < 0.001]. Men were also more likely than women to receive an antibiotic prescription (AOR: 1.74, 95% CI: 1.18-2.33; P = 0.011). Subjects who received more than two drugs were 2.96 times more likely to receive an antibiotic drug (AOR: 2.96, 95% CI: 1.77-6.55; P < 0.003). The probability of prescribing antibiotics was increased by 2.57 for every one-unit increase in the number of medications [crude odds ratio (OR): 2.57; 95% CI: 2.16-3.47; P < 0.002].</p><p><strong>Conclusion: </strong>According to the present study, the amount of prescriptions with antibiotics at community pharmacies is much higher than the WHO standard (20-26.2%). The antibiotics prescribed from Access group were 55.3%, which is slightly lower than WHO recommended level (60%). The prescribing of antibiotics was significantly correlated to the patient's age, gender, and number of medications. The preprint version of the present study is available on Research Square with the following link: https://doi.org/10.21203/rs.3.rs-2547932/v1 .</p>","PeriodicalId":11282,"journal":{"name":"Drugs - Real World Outcomes","volume":null,"pages":null},"PeriodicalIF":1.9000,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/4c/e4/40801_2023_Article_367.PMC10491565.pdf","citationCount":"0","resultStr":"{\"title\":\"Prescribing Pattern and Associated Factors in Community Pharmacies: A Cross-Sectional Study Using AWaRe Classification and WHO Antibiotic Prescribing Indicators in Dire Dawa, Ethiopia.\",\"authors\":\"Beyene Dereje, Alemseged Workneh, Alemayehu Megersa, Shegaye Yibabie\",\"doi\":\"10.1007/s40801-023-00367-1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Antimicrobials are drugs that are more likely to trigger the development of resistance naturally. Thus, they need to be prescribed, dispensed, and administered with greater caution. To underline the significance of their proper usage, antibiotics are divided as AWaRe: Access, Watch, and Reserve. Timely evidence on medicine use, prescribing patterns, and the factors affecting prescribing of antibiotic and their use percentage from AWaRe classification would help decision-makers to draft guidelines that can enable more rational use of medicines.</p><p><strong>Methods: </strong>Prospective and cross-sectional study was conducted among seven community pharmacies in Dire Dawa to assess current prescribing practices related World Health Organization (WHO) indicators and AWaRe classification including antibiotic use and associated factors. Using stratified random sampling techniques, 1200 encounters were reviewed between 1 October and 31 October 2022, and SPSS version 27 was used for the analysis.</p><p><strong>Results: </strong>The average of medications per prescription was 1.96. Antibiotics were included in 47.8% of encounters, while 43.1% were prescribed from the Watch groups. In 13.5% of the encounters, injections were administered. In multivariate models, patient age, gender, and the number of medications prescribed were significantly associated to prescription of antibiotics. Antibiotics were about 2.5 times more likely to be prescribed to patients under the age of 18 years than to subjects 65 years and older [adjusted odds ratio (AOR): 2.51, 95% confidence interval (CI): 1.88-5.42; P < 0.001]. Men were also more likely than women to receive an antibiotic prescription (AOR: 1.74, 95% CI: 1.18-2.33; P = 0.011). Subjects who received more than two drugs were 2.96 times more likely to receive an antibiotic drug (AOR: 2.96, 95% CI: 1.77-6.55; P < 0.003). The probability of prescribing antibiotics was increased by 2.57 for every one-unit increase in the number of medications [crude odds ratio (OR): 2.57; 95% CI: 2.16-3.47; P < 0.002].</p><p><strong>Conclusion: </strong>According to the present study, the amount of prescriptions with antibiotics at community pharmacies is much higher than the WHO standard (20-26.2%). The antibiotics prescribed from Access group were 55.3%, which is slightly lower than WHO recommended level (60%). The prescribing of antibiotics was significantly correlated to the patient's age, gender, and number of medications. The preprint version of the present study is available on Research Square with the following link: https://doi.org/10.21203/rs.3.rs-2547932/v1 .</p>\",\"PeriodicalId\":11282,\"journal\":{\"name\":\"Drugs - Real World Outcomes\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2023-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/4c/e4/40801_2023_Article_367.PMC10491565.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Drugs - Real World Outcomes\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/s40801-023-00367-1\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2023/6/10 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q3\",\"JCRName\":\"PHARMACOLOGY & PHARMACY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Drugs - Real World Outcomes","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s40801-023-00367-1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/6/10 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"PHARMACOLOGY & PHARMACY","Score":null,"Total":0}
Prescribing Pattern and Associated Factors in Community Pharmacies: A Cross-Sectional Study Using AWaRe Classification and WHO Antibiotic Prescribing Indicators in Dire Dawa, Ethiopia.
Background: Antimicrobials are drugs that are more likely to trigger the development of resistance naturally. Thus, they need to be prescribed, dispensed, and administered with greater caution. To underline the significance of their proper usage, antibiotics are divided as AWaRe: Access, Watch, and Reserve. Timely evidence on medicine use, prescribing patterns, and the factors affecting prescribing of antibiotic and their use percentage from AWaRe classification would help decision-makers to draft guidelines that can enable more rational use of medicines.
Methods: Prospective and cross-sectional study was conducted among seven community pharmacies in Dire Dawa to assess current prescribing practices related World Health Organization (WHO) indicators and AWaRe classification including antibiotic use and associated factors. Using stratified random sampling techniques, 1200 encounters were reviewed between 1 October and 31 October 2022, and SPSS version 27 was used for the analysis.
Results: The average of medications per prescription was 1.96. Antibiotics were included in 47.8% of encounters, while 43.1% were prescribed from the Watch groups. In 13.5% of the encounters, injections were administered. In multivariate models, patient age, gender, and the number of medications prescribed were significantly associated to prescription of antibiotics. Antibiotics were about 2.5 times more likely to be prescribed to patients under the age of 18 years than to subjects 65 years and older [adjusted odds ratio (AOR): 2.51, 95% confidence interval (CI): 1.88-5.42; P < 0.001]. Men were also more likely than women to receive an antibiotic prescription (AOR: 1.74, 95% CI: 1.18-2.33; P = 0.011). Subjects who received more than two drugs were 2.96 times more likely to receive an antibiotic drug (AOR: 2.96, 95% CI: 1.77-6.55; P < 0.003). The probability of prescribing antibiotics was increased by 2.57 for every one-unit increase in the number of medications [crude odds ratio (OR): 2.57; 95% CI: 2.16-3.47; P < 0.002].
Conclusion: According to the present study, the amount of prescriptions with antibiotics at community pharmacies is much higher than the WHO standard (20-26.2%). The antibiotics prescribed from Access group were 55.3%, which is slightly lower than WHO recommended level (60%). The prescribing of antibiotics was significantly correlated to the patient's age, gender, and number of medications. The preprint version of the present study is available on Research Square with the following link: https://doi.org/10.21203/rs.3.rs-2547932/v1 .
期刊介绍:
Drugs - Real World Outcomes targets original research and definitive reviews regarding the use of real-world data to evaluate health outcomes and inform healthcare decision-making on drugs, devices and other interventions in clinical practice. The journal includes, but is not limited to, the following research areas: Using registries/databases/health records and other non-selected observational datasets to investigate: drug use and treatment outcomes prescription patterns drug safety signals adherence to treatment guidelines benefit : risk profiles comparative effectiveness economic analyses including cost-of-illness Data-driven research methodologies, including the capture, curation, search, sharing, analysis and interpretation of ‘big data’ Techniques and approaches to optimise real-world modelling.