背景:哮喘是一种慢性呼吸系统疾病,需要长期药物治疗和明智的患者自我管理。很少有研究系统地评估哮喘移动健康(mHealth)应用程序的质量和功能;然而,没有人系统地评估这些应用程序的内容是否与国际最佳实践指南保持一致。
目的:本综述旨在对澳大利亚市场上当前的mHealth应用程序的功能进行系统的搜索和评估,质量,并与最佳实践指南保持一致。
方法:对最新的全球哮喘倡议(GINA)指南进行了审查,以确定可以可行地纳入mHealth应用程序的关键建议。我们根据这些建议和以前开发的框架的修改版本开发了一份清单。对应用程序商店进行了审查,以根据预定义的标准识别潜在的mHealth应用程序。评估合适的应用程序包括评估技术信息,使用经过验证的移动应用评分量表(MARS)框架进行应用质量评估,以及使用洲际医学统计健康信息学研究所(IMS)功能评分系统的应用程序功能评估。最后,使用我们制定的检查表,对mHealth应用程序的内容与GINA指南的一致性进行了评估.
结果:在最初确定的422个应用程序中,53例适用于基于纳入和排除标准的进一步分析。单个应用程序的行为改变技术的平均数量为3.26(SD2.27)。所有审查的应用程序的平均MARS评分为3.05(SD0.54)。在53个应用程序中,27人(51%)的MARS总分≥3。平均而言,审查的应用程序在11点IMS功能量表上实现了5.1(SD2.79)功能。鉴定的功能性的中位值为5(IQR2-7)。总的来说,45个应用程序中有10个(22%)在该领域获得了审阅者的共识,提供了有关哮喘的一般知识。在53个应用程序中,峰值流量计的技能培训,吸入器装置,识别或应对恶化,8例(17%)中发现了非药物哮喘管理,12(25%),11(28%),和14个(31%)应用程序,分别有19个(37%)应用程序可以跟踪或记录“哮喘症状”,“这是最常记录的指标。最常见的提示是服用预防性药物,在9个(20%)应用程序中可用。五个(10%)应用程序为患者提供了存储或输入其哮喘行动计划的区域。
结论:本研究使用根据GINA指南开发的独特清单来评估哮喘应用程序的内容一致性。缺乏与国际最佳实践哮喘指南相一致的高质量哮喘应用程序。未来的应用程序开发应针对本研究中确定的当前缺乏的关键功能,包括使用哮喘行动计划和部署行为改变技术来吸引和重新吸引用户。这项研究对临床医生导航不断扩大的慢性病mHealthapp市场具有重要意义。
背景:PROSPEROCRD42021269894;https://www.crd.约克。AC.uk/prospro/display_record.php?RecordID=269894。
■RR2-10.2196/33103。
BACKGROUND: Asthma is a chronic respiratory disorder requiring long-term pharmacotherapy and judicious patient self-management. Few studies have systematically evaluated asthma mobile health (mHealth) apps for quality and functionality; however, none have systematically assessed these apps for their content alignment with international best practice guidelines.
OBJECTIVE: This review aims to conduct a systematic search and evaluation of current mHealth apps in the Australian marketplace for their functionality, quality, and consistency with best practice guidelines.
METHODS: The most recent Global Initiative for Asthma (GINA) guidelines were reviewed to identify key recommendations that could be feasibly incorporated into an mHealth app. We developed a checklist based on these recommendations and a modified version of a previously developed framework. App stores were reviewed to identify potential mHealth apps based on predefined criteria. Evaluation of suitable apps included the assessment of technical information, an app quality assessment using the validated Mobile App Rating Scale (MARS) framework, and an app functionality assessment using the Intercontinental Medical Statistics Institute for Health Informatics (IMS) Functionality Scoring System. Finally, the mHealth apps were assessed for their content alignment with the GINA guidelines using the checklist we developed.
RESULTS: Of the 422 apps initially identified, 53 were suitable for further analysis based on inclusion and exclusion criteria. The mean number of behavioral change techniques for a single app was 3.26 (SD 2.27). The mean MARS score for all the reviewed apps was 3.05 (SD 0.54). Of 53 apps, 27 (51%) achieved a total MARS score of ≥3. On average, the reviewed apps achieved 5.1 (SD 2.79) functionalities on the 11-point IMS functionality scale. The median number of functionalities identified was 5 (IQR 2-7). Overall, 10 (22%) of the 45 apps with reviewer consensus in this domain provided general knowledge regarding asthma. Of 53 apps, skill training in peak flow meters, inhaler devices, recognizing or responding to exacerbations, and nonpharmacological asthma management were identified in 8 (17%), 12 (25%), 11 (28%), and 14 (31%) apps, respectively; 19 (37%) apps could track or record \"asthma symptoms,\" which was the most commonly recorded metric. The most frequently identified prompt was for taking preventive medications, available in 9 (20%) apps. Five (10%) apps provided an area for patients to store or enter their asthma action plan.
CONCLUSIONS: This study used a unique checklist developed based on the GINA guidelines to evaluate the content alignment of asthma apps. Good-quality asthma apps aligned with international best practice asthma guidelines are lacking. Future app development should target the currently lacking key features identified in this study, including the use of asthma action plans and the deployment of behavioral change techniques to engage and re-engage with users. This study has implications for clinicians navigating the ever-expanding mHealth app market for chronic diseases.
BACKGROUND: PROSPERO CRD42021269894; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=269894.
UNASSIGNED: RR2-10.2196/33103.