Trustworthiness of Web-Based Pharmacy Apps in Pakistan Based on the Mobile App Rating Scale: Content Analysis and Quality Evaluation.

IF 5.4 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
Anum Sattar, Hina Rehman, Safila Naveed, Sumaira Khadim, Nargis Khan, Ahmad Furqan Kazi, Wajid Syed, Mahmood Basil A Al-Rawi, Shazia Jamshed
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引用次数: 0

Abstract

Background: Web-based pharmacy apps facilitate the electronic exchange of health-related supplies. They are digital platforms that run on websites and smartphones. Pakistan is experiencing significant progress in smartphone integration and digital services, leading to the expansion of the online pharmacy business. However, concerns remain over the legitimacy and precision of these apps.

Objective: The aim of this study was to undertake a thorough assessment of digital pharmacy apps accessible in Pakistan. Specifically, our focus was on apps accessible via the Google Play Store and the iOS App Store. To fulfill this objective, an evaluation of these apps was performed using the Mobile App Rating Scale (MARS).

Methods: A research investigation was conducted to analyze the online pharmacy apps in Pakistan. Initially, 50 apps were identified, but 10 were excluded for not meeting pre-established criteria, 10 were excluded for being in languages other than English, and 7 could not be downloaded. All paid and non-English apps were also excluded. A total of 23 apps were selected for the study, acquired via the Google Play Store and iOS App Store. The evaluation was conducted by 2 researchers who maintained independence from one another by using the MARS.

Results: Initially, 50 apps were identified, of which 27 were excluded for not meeting the predetermined criteria. A total of 23 apps were selected for the study, acquired via the Google Play Store and iOS App Store. Strong positive correlations between higher user engagement and better app functionality and information quality were observed. The average rating of the 23 apps ranged between 2.64 and 4.00 on a scale up to 5. The aesthetics dimension had the highest mean score of 3.6, while the information dimension had the lowest mean score of 3.2. For credibility and reliability, different tests (intraclass correlation, Cohen κ, Krippendorff α, and Cronbach α) on each dimension of the MARS were performed by using SPSS Statistics 27. The intraclass correlation of all MARS dimensions ranged from 0.702-0.913 (95% CI 0.521-0.943), the Cohen κ of all MARS dimensions ranged from 0.388-0.907 (95% CI 0.151-0.994), the Krippendorff α of all MARS dimensions ranged from 0.705-0.979 (95% CI 0.657-0.923), and Cronbach α had a lower score of 0.821 in the information dimension and a higher score of .911 in the subjective quality dimension of the MARS.

Conclusions: This study evaluated online pharmacy apps in Pakistan by using the MARS. It is the first study on online pharmacy apps in Pakistan. The findings of the evaluation have provided insights into the reliability and efficacy of these apps.

基于手机App评分量表的巴基斯坦网上药房App可信度:内容分析与质量评价
背景:基于web的药房应用程序促进了与健康有关的用品的电子交换。它们是在网站和智能手机上运行的数字平台。巴基斯坦正在智能手机整合和数字服务方面取得重大进展,导致在线药房业务的扩张。然而,人们仍然对这些应用程序的合法性和准确性感到担忧。目的:本研究的目的是对巴基斯坦可访问的数字药房应用程序进行彻底评估。具体来说,我们关注的是可通过b谷歌Play Store和iOS App Store访问的应用。为了实现这一目标,使用移动应用评级量表(MARS)对这些应用程序进行了评估。方法:对巴基斯坦网上药店app进行调查分析。最初,有50个应用程序被确定,但10个因不符合预先设定的标准而被排除在外,10个因使用非英语语言而被排除在外,7个无法下载。所有付费和非英语应用也被排除在外。共有23个应用程序被选为研究对象,这些应用程序通过b谷歌Play Store和iOS App Store获得。评估是由2名研究人员进行的,他们利用MARS保持了彼此的独立性。结果:最初,识别了50个应用程序,其中27个因不符合预定标准而被排除在外。共有23个应用程序被选为研究对象,这些应用程序通过b谷歌Play Store和iOS App Store获得。更高的用户粘性与更好的应用功能和信息质量之间存在强烈的正相关关系。23款应用的平均评分在2.64到4.00之间(满分5分)。审美维度的平均得分最高,为3.6分,信息维度的平均得分最低,为3.2分。为了提高信度和信度,采用SPSS统计软件27对MARS各维度进行了不同的检验(类内相关性、Cohen κ、Krippendorff α和Cronbach α)。MARS各维度的类内相关性为0.702 ~ 0.913 (95% CI 0.521 ~ 0.943), Cohen κ为0.388 ~ 0.907 (95% CI 0.155 ~ 0.994), Krippendorff α为0.705 ~ 0.979 (95% CI 0.657 ~ 0.923), Cronbach α在MARS的信息维度上得分较低,为0.821,在MARS的主观品质维度上得分较高,为0.911。结论:本研究使用MARS对巴基斯坦的在线药房应用程序进行了评估。这是巴基斯坦首次对在线药房应用程序进行研究。评估结果为这些应用程序的可靠性和有效性提供了见解。
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来源期刊
JMIR mHealth and uHealth
JMIR mHealth and uHealth Medicine-Health Informatics
CiteScore
12.60
自引率
4.00%
发文量
159
审稿时长
10 weeks
期刊介绍: JMIR mHealth and uHealth (JMU, ISSN 2291-5222) is a spin-off journal of JMIR, the leading eHealth journal (Impact Factor 2016: 5.175). JMIR mHealth and uHealth is indexed in PubMed, PubMed Central, and Science Citation Index Expanded (SCIE), and in June 2017 received a stunning inaugural Impact Factor of 4.636. The journal focusses on health and biomedical applications in mobile and tablet computing, pervasive and ubiquitous computing, wearable computing and domotics. JMIR mHealth and uHealth publishes since 2013 and was the first mhealth journal in Pubmed. It publishes even faster and has a broader scope with including papers which are more technical or more formative/developmental than what would be published in the Journal of Medical Internet Research.
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