Digital manikins to self-report pain on a smartphone: A systematic review of mobile apps.
Digital manikins to self-report pain on a smartphone: A systematic review of mobile apps.
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DOI：
10.1002/ejp.1688
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发表时间：
2021-03
期刊：
影响因子：
--
通讯作者：
van der Veer SN
中科院分区：
文献类型：
--
作者：
Ali SM;Lau WJ;McBeth J;Dixon WG;van der Veer SN
慢性疼痛是导致残疾的主要原因。提高我们对疼痛发生和治疗效果的理解需要强有力的方法来大规模测量疼痛。基于智能手机的疼痛模型是人形人物，可以在人们的个人移动设备上自我报告特定位置的疼痛。我们搜索了主要的应用程序商店，以探索基于智能手机的疼痛模型的现状，并制定建议来指导其未来的发展。搜索结果为 3,938 个应用程序。 28 个包含疼痛模型并被纳入分析。对于所有应用程序，尚不清楚它们是否已经过测试以及最终用户是否参与了开发。疼痛强度和质量可以分别在 28 和 13 个应用程序中记录，但只有 11 和 4 个应用程序可以记录具体位置。大多数人体模型有两个或更多视图 (n = 21)，并允许用户阴影或选择身体区域来记录疼痛位置 (n = 17)。七个应用程序允许个性化模型外观。十二个应用程序计算了至少一项指标来定量总结人体模型报告。 22 个应用程序拥有历史模型报告档案；只有八个人提供了总结人体模型随时间变化的报告的反馈。一些公开可用的应用程序包含了用于疼痛报告的人体模型，但只有少数应用程序能够记录特定位置的疼痛方面、计算人体模型衍生的定量分数或生成摘要反馈。为了使基于智能手机的人体模型得到更广泛的采用，未来的发展应该利用人体模型的数字特性并包括强大的验证研究。让最终用户参与开发可能会提高人体模型作为自我报告疼痛工具的可接受性。这篇综述确定并描述了 28 个智能手机应用程序，其中包括疼痛模型（即疼痛图），作为测量大量人群疼痛的新方法。只有少数能够记录特定位置的疼痛方面，根据人体模型报告计算定量分数，或生成人体模型反馈。为了使基于智能手机的人体模型得到更广泛的采用，未来的研究应该利用人体模型的数字特性，并建立人体模型的测量特性。此外，我们相信，让最终用户参与开发过程将提高人体模型作为自我报告疼痛工具的接受度。
Chronic pain is the leading cause of disability. Improving our understanding of pain occurrence and treatment effectiveness requires robust methods to measure pain at scale. Smartphone‐based pain manikins are human‐shaped figures to self‐report location‐specific aspects of pain on people's personal mobile devices. We searched the main app stores to explore the current state of smartphone‐based pain manikins and to formulate recommendations to guide their development in the future. The search yielded 3,938 apps. Twenty‐eight incorporated a pain manikin and were included in the analysis. For all apps, it was unclear whether they had been tested and had end‐user involvement in the development. Pain intensity and quality could be recorded in 28 and 13 apps, respectively, but this was location specific in only 11 and 4. Most manikins had two or more views (n = 21) and enabled users to shade or select body areas to record pain location (n = 17). Seven apps allowed personalising the manikin appearance. Twelve apps calculated at least one metric to summarise manikin reports quantitatively. Twenty‐two apps had an archive of historical manikin reports; only eight offered feedback summarising manikin reports over time. Several publically available apps incorporated a manikin for pain reporting, but only few enabled recording of location‐specific pain aspects, calculating manikin‐derived quantitative scores, or generating summary feedback. For smartphone‐based manikins to become adopted more widely, future developments should harness manikins’ digital nature and include robust validation studies. Involving end users in the development may increase manikins’ acceptability as a tool to self‐report pain. This review identified and characterised 28 smartphone apps that included a pain manikin (i.e. pain drawings) as a novel approach to measure pain in large populations. Only few enabled recording of location‐specific pain aspects, calculating quantitative scores based on manikin reports, or generating manikin feedback. For smartphone‐based manikins to become adopted more widely, future studies should harness the digital nature of manikins, and establish the measurement properties of manikins. Furthermore, we believe that involving end users in the development process will increase acceptability of manikins as a tool for self‐reporting pain.
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影响因子：
3.1
作者：
Jamison, RN;Fanciullo, GJ;Baird, JC
通讯作者：
Baird, JC
影响因子：
15.2
作者：
Hicks, Jennifer L.;Althoff, Tim;Delp, Scott L.
通讯作者：
Delp, Scott L.
影响因子：
3.6
作者：
Barbero, M.;Moresi, F.;Falla, D.
通讯作者：
Falla, D.
影响因子：
2.6
作者：
Erdek, MA;Pronovost, PJ
通讯作者：
Pronovost, PJ
影响因子：
3.7
作者：
de la Vega R;Miró J
通讯作者：
Miró J