ArticleHealth science reports2025
Factors Affecting the Adoption of Electronic Prescription by Physicians and Pharmacists.
Article in Health science reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
2 citing papers in PubMed.
- Modeling Factors Affecting Physicians' Acceptance of E-Prescriptions Using Structural Equation Modeling-Partial Least Squares Analysis: A Cross-Sectional Study.Health science reports · 2026Article
- Barriers to Electronic Prescription Circulation Under Employee Medical Insurance Outpatient Coordination: Evidence from a Pilot City in China.Risk management and healthcare policy · 2026Article
Corrections and comments
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Authors and funding
1 author.
Funding
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Abstract
Background and Aims: Electronic prescribing holds significant potential for improving healthcare quality and efficiency. However, its success relies on healthcare professionals' acceptance and use. This study investigated the factors influencing e-prescribing adoption among physicians and pharmacists in Iran, where its use has been mandated since December 2021. Methods: A cross-sectional study was conducted in 2024 using a structured questionnaire to gather data from 189 physicians and pharmacists in Kerman, Iran. The data collection tool was a structured questionnaire divided into two sections: demographic information and research variables. The questionnaire measured key constructs based on the Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use of Technology (UTAUT). Data were analyzed using SPSS 25.0 and MPLUS 8.3.2 software. Results: A total of 171 individuals participated in our survey. The updated measurement model confirmed the presence of convergent and discriminant validity, as well as reliability and fit. Analysis of the structural model indicated that, at the 95% confidence level, perceived ease of use positively influences perceived usefulness, which in turn enhances trust in the e-prescribing system. Additionally, technology self-efficacy has a positive impact on attitudes toward using e-prescribing. Conclusions: This study presents valuable insights into the factors influencing the adoption of e-prescribing within the Iranian healthcare context. The findings carry significant implications for policymakers, system developers, and healthcare administrators aiming to enhance the implementation of e-prescribing and promote its widespread adoption. Furthermore, this study contributes to the broader discourse on health information technology adoption by emphasizing the critical importance of contextual factors in technology acceptance research.
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Registered trials
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