Aljuaid Fahad, Reed Emily, Imanpour Sara, Mallinson Daniel J
Penn State Harrisburg, Middletown, PA, United States.
JMIR Res Protoc. 2025 Jul 15;14:e63596. doi: 10.2196/63596.
The rapid proliferation of health care apps has transformed health care delivery, providing patients with unprecedented access to medical information and services. These apps facilitate remote consultations, appointment scheduling, medication reminders, and health monitoring, thereby enhancing patient engagement and improving health outcomes. Despite the widespread benefits, disparities in the adoption and usage of health care apps persist, influenced by demographic and socioeconomic factors. Understanding these disparities is crucial for designing interventions that promote equitable access to digital health tools.
This systematic review aims to identify and synthesize empirical studies on health care app usage disparities, focusing on demographic and socioeconomic factors. This review seeks to inform stakeholders about the key factors influencing app usage and provide insights to improve accessibility and effectiveness. Specifically, this review addresses the following research questions: (1) what are the key demographic and socioeconomic factors associated with health care app usage disparities? (2) how do these factors influence the adoption and utilization of health care apps? and (3) what are the barriers to and facilitators of effective use of health care apps?
This review will adhere to PRISMA-P (Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols) guidelines. Eight databases-ACM Digital Library, CINAHL, IEEE Xplore, ProQuest Nursing and Allied Health Journals, PubMed/MEDLINE, ScienceDirect, Scopus, and Web of Science-were searched for studies published in English between January 1, 2014, and June 17, 2024. Eligibility criteria include journal papers focusing on health care app usage across different demographic and socioeconomic groups. Data management will involve using Zotero for reference management and Excel for screening and eligibility assessment. Two reviewers will independently extract the data and assess the study quality and risk of bias. Descriptive statistics will be used to summarize the study characteristics.
As of June 2025, the review is in the screening stage. The completion of data collection is anticipated by November 2025. The final results are expected to be published by late 2025. This review aims to provide comprehensive insights into the disparities in health care app usage.
The findings of this systematic review will offer valuable insights into demographic and socioeconomic disparities in health care app usage, informing stakeholders on how to address these disparities. By identifying the factors influencing app adoption and usage, this review will contribute to the development of targeted interventions and policies to enhance digital health equity.
INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/63596.
医疗保健应用程序的迅速普及改变了医疗保健服务的提供方式,为患者提供了前所未有的获取医疗信息和服务的途径。这些应用程序促进了远程会诊、预约安排、用药提醒和健康监测,从而提高了患者的参与度并改善了健康结果。尽管有广泛的益处,但受人口统计学和社会经济因素的影响,医疗保健应用程序的采用和使用仍存在差异。了解这些差异对于设计促进公平获取数字健康工具的干预措施至关重要。
本系统评价旨在识别和综合关于医疗保健应用程序使用差异的实证研究,重点关注人口统计学和社会经济因素。本评价旨在让利益相关者了解影响应用程序使用的关键因素,并提供提高可及性和有效性的见解。具体而言,本评价解决以下研究问题:(1)与医疗保健应用程序使用差异相关的关键人口统计学和社会经济因素有哪些?(2)这些因素如何影响医疗保健应用程序的采用和利用?(3)有效使用医疗保健应用程序的障碍和促进因素有哪些?
本评价将遵循PRISMA-P(系统评价和Meta分析方案的首选报告项目)指南。在ACM数字图书馆、CINAHL、IEEE Xplore、ProQuest护理及相关健康期刊、PubMed/MEDLINE、ScienceDirect、Scopus和Web of Science这八个数据库中检索2014年1月1日至2024年6月17日期间以英文发表的研究。纳入标准包括关注不同人口统计学和社会经济群体医疗保健应用程序使用情况的期刊论文。数据管理将包括使用Zotero进行参考文献管理,以及使用Excel进行筛选和纳入资格评估。两名评审员将独立提取数据并评估研究质量和偏倚风险。将使用描述性统计来总结研究特征。
截至2025年6月,该评价处于筛选阶段。预计2025年11月完成数据收集。最终结果预计于2025年底发表。本评价旨在全面洞察医疗保健应用程序使用方面的差异。
本系统评价的结果将为医疗保健应用程序使用方面的人口统计学和社会经济差异提供有价值的见解,告知利益相关者如何解决这些差异。通过识别影响应用程序采用和使用的因素,本评价将有助于制定有针对性的干预措施和政策,以提高数字健康公平性。
国际注册报告识别号(IRRID):DERR1-10.2196/63596