癌症移动健康应用程序的特点和患者偏好的证据:范围文献综述。

IF 3.3 Q2 ONCOLOGY
JMIR Cancer Pub Date : 2023-04-28 DOI:10.2196/37330
Shannon Vaffis, Soluna Whaley, David Rhys Axon, Elizabeth Hall-Lipsy, Ana Hincapie, Marion Slack, Terri Warholak
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引用次数: 1

摘要

背景:癌症越来越被视为一种慢性疾病,而不是一种急性的一次性疾病。此外,口服抗癌疗法,而不是静脉化疗,现在可用于越来越多的癌症适应症。在移动设备(如智能手机或平板电脑)上使用的移动健康(mHealth)应用程序旨在帮助患者坚持服药、跟踪症状和管理疾病。之前有几篇文献综述是关于移动健康应用程序治疗癌症的。然而,这些研究并没有解决患者对癌症移动健康应用程序功能的偏好。目的:主要目的是回顾描述为癌症自我管理而设计的移动健康应用程序的特征和功能的科学文献。方法:由于本综述的目的是探索移动健康应用程序功能用于癌症自我管理的研究的深度和广度,因此采用了范围审查方法。本综述使用了四个数据库:PubMed/MEDLINE、Embase、CINAHL和PsycINFO。对符合纳入标准的稿件进行引文和参考文献检索。并进行灰色文献检索。从手稿中提取的数据  包括作者、标题、出版日期、研究类型、抽样类型、癌症类型、治疗、参与者年龄、特征、可用性(免费或订阅)、设计输入和患者偏好。最后,对每个应用程序列出的功能进行比较,突出各平台之间的相似性以及每个应用程序的独特功能。结果:在删除重复后,522篇手稿仍用于标题和摘要审查,51篇进行全文审查。总共有7篇手稿(下文称为研究)被纳入最终的范围审查。每项研究中描述的应用程序功能从2到11不等,每个应用程序的中位数为4个功能。报告最多的功能是症状或副作用跟踪器,有6项研究报告了这一功能。有两款应用程序在设计过程中指定了患者和医疗服务提供者,而一款应用程序指出,IT和通信专家提供了设计输入。应用程序对最终用户的效用是通过几种方式来衡量的,包括可接受性(衡量最终用户的体验),可用性(通过观察真实用户完成任务来评估功能和性能),或定性数据(从访谈或焦点小组收集的最终用户报告)。结论:本综述探讨了有关癌症移动健康应用程序的文献。这些移动健康应用程序中流行的功能包括症状跟踪、癌症教育和药物跟踪。然而,这些应用程序和功能的开发往往很少得到患者的参与。此外,几乎没有关于患者对现有应用程序功能偏好的信息。随着可供下载的癌症相关应用程序的数量不断增加,进一步探索患者对应用程序功能的偏好,可能会产生更好地满足患者疾病自我管理需求的应用程序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Features of Cancer mHealth Apps and Evidence for Patient Preferences: Scoping Literature Review.

Features of Cancer mHealth Apps and Evidence for Patient Preferences: Scoping Literature Review.

Background: Cancer is increasingly being treated as a chronic disease rather than an acute one-time illness. Additionally, oral anticancer therapies, as opposed to intravenous chemotherapy, are now available for an increasing number of cancer indications. Mobile health (mHealth) apps for use on mobile devices (eg, smartphones or tablets) are designed to help patients with medication adherence, symptom tracking, and disease management. Several previous literature reviews have been conducted regarding mHealth apps for cancer. However, these studies did not address patient preferences for the features of cancer mHealth apps.

Objective: The primary aim was to review the scientific literature that describes the features and functions of mHealth apps designed for cancer self-management.

Methods: As the purpose of this review was to explore the depth and breadth of research on mHealth app features for cancer self-management, a scoping review methodology was adopted. Four databases were used for this review: PubMed/MEDLINE, Embase, CINAHL, and PsycINFO. Citation and reference searches were conducted for manuscripts meeting the inclusion criteria. A gray literature search was also conducted. Data extracted from manuscripts included author, title, publication date, study type, sampling type, cancer type, treatment, age of participants, features, availability (free or subscription), design input, and patient preferences. Finally, the features listed for each app were compared, highlighting similarities across platforms as well as features unique to each app.

Results: After the removal of duplicates, 522 manuscripts remained for the title and abstract review, with 51 undergoing full-text review. A total of 7 manuscripts (referred to as studies hereafter) were included in the final scoping review. App features described in each study varied from 2 to 11, with a median of 4 features per app. The most reported feature was a symptom or side effect tracker, which was reported in 6 studies. Two apps specified the inclusion of patients and health care providers during the design, while 1 app noted that IT and communications experts provided design input. The utility of the apps for end users was measured in several ways, including acceptability (measuring the end users' experience), usability (assessing the functionality and performance by observing real users completing tasks), or qualitative data (reports from end users collected from interviews or focus groups).

Conclusions: This review explored the literature on cancer mHealth apps. Popular features within these mHealth apps include symptom trackers, cancer education, and medication trackers. However, these apps and features are often developed with little input from patients. Additionally, there is little information regarding patient preferences for the features of existing apps. While the number of cancer-related apps available for download continues to increase, further exploration of patient preferences for app features could result in apps that better meet patient disease self-management needs.

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来源期刊
JMIR Cancer
JMIR Cancer ONCOLOGY-
CiteScore
4.10
自引率
0.00%
发文量
64
审稿时长
12 weeks
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