{"title":"药剂师采用电子处方","authors":"Mohammadhiwa Abdekhoda , Pegah Morovati","doi":"10.1016/j.ijmedinf.2025.105877","DOIUrl":null,"url":null,"abstract":"<div><h3>Introduction</h3><div>In the era of electronic health records, incorporating electronic prescribing is imperative to improve healthcare quality and safeguard patient well-being. Therefore, it becomes essential to recognize the influential elements that drive the adoption of e-prescribing. Despite the numerous advantages of electronic prescribing, there is a lack of acceptance and resistance from health care providers and users, creating barriers to its implementation. This research aimed to identify the key factors that influence pharmacists in adopting electronic prescribing (e-prescribing).</div></div><div><h3>Method</h3><div>In this descriptive-analytical study, a total of 196 pharmacists were chosen through random selection. The study evaluated the pharmacists’ inclinations towards embracing e-prescribing in health services by employing the conceptual path model that combines the Unified Theory of Acceptance and Use of Technology (UTAUT) with The Task-Technology Fit (TTF).</div></div><div><h3>Results</h3><div>The findings demonstrated that the integration of UTAUT and TTF effectively explained pharmacists’ intention to adopt e-prescribing. Specifically, task characteristics, performance expectancy, and facilitating conditions exhibited a direct and substantial impact on the adoption of e-prescribing. However, the influence of task-technology fit, social influences, and effort expectancy on prescribing adoption was not reported.</div></div><div><h3>Conclusion</h3><div>In this research, a conceptual path model was introduced to comprehend the factors that influence pharmacists’ acceptance of e-prescribing. By conducting this study, essential elements that determine the adoption of e-prescribing in health services were identified. The study’s results provide valuable knowledge for practitioners, policymakers, and the ministry of health, assisting them in effectively designing and implementing e-prescribing initiatives.</div></div>","PeriodicalId":54950,"journal":{"name":"International Journal of Medical Informatics","volume":"199 ","pages":"Article 105877"},"PeriodicalIF":3.7000,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Adopting electronic prescribing by pharmacists\",\"authors\":\"Mohammadhiwa Abdekhoda , Pegah Morovati\",\"doi\":\"10.1016/j.ijmedinf.2025.105877\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Introduction</h3><div>In the era of electronic health records, incorporating electronic prescribing is imperative to improve healthcare quality and safeguard patient well-being. Therefore, it becomes essential to recognize the influential elements that drive the adoption of e-prescribing. Despite the numerous advantages of electronic prescribing, there is a lack of acceptance and resistance from health care providers and users, creating barriers to its implementation. This research aimed to identify the key factors that influence pharmacists in adopting electronic prescribing (e-prescribing).</div></div><div><h3>Method</h3><div>In this descriptive-analytical study, a total of 196 pharmacists were chosen through random selection. The study evaluated the pharmacists’ inclinations towards embracing e-prescribing in health services by employing the conceptual path model that combines the Unified Theory of Acceptance and Use of Technology (UTAUT) with The Task-Technology Fit (TTF).</div></div><div><h3>Results</h3><div>The findings demonstrated that the integration of UTAUT and TTF effectively explained pharmacists’ intention to adopt e-prescribing. Specifically, task characteristics, performance expectancy, and facilitating conditions exhibited a direct and substantial impact on the adoption of e-prescribing. However, the influence of task-technology fit, social influences, and effort expectancy on prescribing adoption was not reported.</div></div><div><h3>Conclusion</h3><div>In this research, a conceptual path model was introduced to comprehend the factors that influence pharmacists’ acceptance of e-prescribing. By conducting this study, essential elements that determine the adoption of e-prescribing in health services were identified. The study’s results provide valuable knowledge for practitioners, policymakers, and the ministry of health, assisting them in effectively designing and implementing e-prescribing initiatives.</div></div>\",\"PeriodicalId\":54950,\"journal\":{\"name\":\"International Journal of Medical Informatics\",\"volume\":\"199 \",\"pages\":\"Article 105877\"},\"PeriodicalIF\":3.7000,\"publicationDate\":\"2025-03-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Medical Informatics\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1386505625000942\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Medical Informatics","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1386505625000942","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
In the era of electronic health records, incorporating electronic prescribing is imperative to improve healthcare quality and safeguard patient well-being. Therefore, it becomes essential to recognize the influential elements that drive the adoption of e-prescribing. Despite the numerous advantages of electronic prescribing, there is a lack of acceptance and resistance from health care providers and users, creating barriers to its implementation. This research aimed to identify the key factors that influence pharmacists in adopting electronic prescribing (e-prescribing).
Method
In this descriptive-analytical study, a total of 196 pharmacists were chosen through random selection. The study evaluated the pharmacists’ inclinations towards embracing e-prescribing in health services by employing the conceptual path model that combines the Unified Theory of Acceptance and Use of Technology (UTAUT) with The Task-Technology Fit (TTF).
Results
The findings demonstrated that the integration of UTAUT and TTF effectively explained pharmacists’ intention to adopt e-prescribing. Specifically, task characteristics, performance expectancy, and facilitating conditions exhibited a direct and substantial impact on the adoption of e-prescribing. However, the influence of task-technology fit, social influences, and effort expectancy on prescribing adoption was not reported.
Conclusion
In this research, a conceptual path model was introduced to comprehend the factors that influence pharmacists’ acceptance of e-prescribing. By conducting this study, essential elements that determine the adoption of e-prescribing in health services were identified. The study’s results provide valuable knowledge for practitioners, policymakers, and the ministry of health, assisting them in effectively designing and implementing e-prescribing initiatives.
期刊介绍:
International Journal of Medical Informatics provides an international medium for dissemination of original results and interpretative reviews concerning the field of medical informatics. The Journal emphasizes the evaluation of systems in healthcare settings.
The scope of journal covers:
Information systems, including national or international registration systems, hospital information systems, departmental and/or physician''s office systems, document handling systems, electronic medical record systems, standardization, systems integration etc.;
Computer-aided medical decision support systems using heuristic, algorithmic and/or statistical methods as exemplified in decision theory, protocol development, artificial intelligence, etc.
Educational computer based programs pertaining to medical informatics or medicine in general;
Organizational, economic, social, clinical impact, ethical and cost-benefit aspects of IT applications in health care.