Department of Health Informatics, College of Medicine and Health Science, Debre-Markos University, Debre Markos, Ethiopia.
Department of Health Informatics, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
JMIR Mhealth Uhealth. 2021 Mar 26;9(3):e19310. doi: 10.2196/19310.
Information in health care is rapidly expanding and is updated very regularly, especially with the increasing use of technology in the sector. Due to this, health care providers require timely access to the latest scientific evidence anywhere. Smartphone medical apps are tools to access the latest reputable scientific evidence in the discipline. In addition, smartphone medical apps could lead to improved decision making, reduced numbers of medical errors, and improved communication between hospital medical staff.
The aim of this study was to assess smartphone medical app use and associated factors among physicians working at referral hospitals of the Amhara region, Ethiopia.
An institution-based cross-sectional study design was conducted among physicians working at 5 referral hospitals in the Amhara region, Ethiopia, from February 5 to May 27, 2019. A simple random sampling method was used to select 423 physicians. A self-administered questionnaire was used to collect the data and analyzed using SPSS, version 21 (IBM Corp). Binary and multivariable logistic regression analysis was performed to assess factors associated with smartphone medical app use among physicians. A value of P<.05, corresponding to a 95% CI, was considered statistically significant. The validity of the questionnaire was determined based on the view of experts and the reliability of it obtained by calculating the value of Cronbach alpha (α=.78).
In this study, most of the 417 respondents (375, 89.9%) had medical apps installed on their smartphones. Of those 375 respondents, 264 (70.4%) had used medical apps during clinical practice. The medical apps most commonly used by the respondents were UpToDate, Medscape, MedCalc, and Doximity. According to multivariable logistic regression analysis, attitude (adjusted odds ratio [AOR] 1.64, 95% CI 1.05-2.55), internet access (AOR 2.82, 95% CI 1.75-4.54), computer training (AOR 1.71, 95% CI 1.09-2.67), perceived usefulness of the app (AOR 1.64, 95% CI 1.05-2.54), information technology support staff (AOR 2.363, 95% CI 1.5-3.08), and technical skill (AOR 2.52, 95% CI 1.50-4.25) were significantly associated with smartphone medical app use.
Most respondents have a smartphone medical app and have used it in clinical practice. Attitude, internet access, computer training, perceived usefulness of the app, information technology support staff, and technical skill are the most notable factors that are associated with smartphone medical app use by physicians.
医疗保健信息正在迅速扩展,并且经常进行更新,尤其是随着该领域技术的使用不断增加。由于这一点,医疗保健提供者需要随时随地及时获得最新的科学证据。智能手机医疗应用程序是获取本学科最新可靠科学证据的工具。此外,智能手机医疗应用程序可以改善决策,减少医疗错误的数量,并改善医院医务人员之间的沟通。
本研究旨在评估在埃塞俄比亚阿姆哈拉地区转诊医院工作的医生使用智能手机医疗应用程序的情况及其相关因素。
本研究采用 2019 年 2 月 5 日至 5 月 27 日在埃塞俄比亚阿姆哈拉地区 5 家转诊医院进行的基于机构的横断面研究设计。采用简单随机抽样方法选择 423 名医生。使用自填式问卷收集数据,并使用 SPSS 版本 21(IBM Corp)进行分析。采用二项和多变量逻辑回归分析评估与医生使用智能手机医疗应用程序相关的因素。P<.05(对应 95%置信区间)被认为具有统计学意义。根据专家的意见确定问卷的有效性,并通过计算 Cronbach alpha(α=.78)值来确定其可靠性。
在这项研究中,417 名受访者中的大多数(375 名,89.9%)在他们的智能手机上安装了医疗应用程序。在这 375 名受访者中,有 264 名(70.4%)在临床实践中使用过医疗应用程序。受访者最常使用的医疗应用程序是 UpToDate、Medscape、MedCalc 和 Doximity。根据多变量逻辑回归分析,态度(调整后的优势比 [AOR] 1.64,95%置信区间 1.05-2.55)、互联网接入(AOR 2.82,95%置信区间 1.75-4.54)、计算机培训(AOR 1.71,95%置信区间 1.09-2.67)、应用程序的有用性感知(AOR 1.64,95%置信区间 1.05-2.54)、信息技术支持人员(AOR 2.363,95%置信区间 1.5-3.08)和技术技能(AOR 2.52,95%置信区间 1.50-4.25)与智能手机医疗应用程序的使用显著相关。
大多数受访者都有智能手机医疗应用程序,并在临床实践中使用过。态度、互联网接入、计算机培训、应用程序的有用性感知、信息技术支持人员和技术技能是与医生使用智能手机医疗应用程序最相关的最重要因素。