PDF(Pubmed)
Abstract：
BACKGROUND: Mobile health interventions delivered through mobile apps are increasingly used in physiotherapy care. This may be because of the potential of apps to facilitate changes in behavior, which is central to the aims of care delivered by physiotherapists. A benefit of using apps is their ability to incorporate behavior change techniques (BCTs) that can optimize the effectiveness of physiotherapeutic interventions. Research continues to suggest that despite their importance, behavior change strategies are often missing in patient management. Evaluating mobile apps that physiotherapists can use to drive behavior change may inform clinical practice and potentially improve patient outcomes. Examining the quality of apps and exploring their key features that can support behavior change and physiotherapy care are important aspects of such an evaluation.
OBJECTIVE: The primary aim of this study was to describe the range of mobile apps in app stores that are intended for use by patients to support physiotherapy care. The secondary aims were to assess app quality, BCTs, and their behavior change potential.
METHODS: A systematic review of mobile apps in app stores was undertaken. The Apple App Store and Google Play were searched using a 2-step search strategy, using terms relevant to the physiotherapy discipline. Strict inclusion and exclusion criteria were applied: apps had to be intended for use by patients and be self-contained (or stand-alone) without the requirement to be used in conjunction with a partner wearable device or another plugin. Included apps were coded for BCTs using the Behavior Change Technique Taxonomy version 1. App quality was assessed using the Mobile App Rating Scale, and the App Behavior Change Scale was used to assess the app\'s potential to change behavior.
RESULTS: In total, 1240 apps were screened, and 35 were included. Of these 35 apps, 22 (63%) were available on both the Apple App Store and Google Play platforms. In total, 24 (69%) were general in their focus (eg, not condition-specific), with the remaining 11 (31%) being more specific (eg, knee rehabilitation and pelvic floor training). The mean app quality score (Mobile App Rating Scale) was 3.7 (SD 0.4) of 5 (range 2.8-4.5). The mean number of BCTs identified per app was 8.5 (SD 3.6). BCTs most frequently included in the apps were instruction on how to perform a behavior (n=32), action planning (n=30), and self-monitoring of behavior (n=28). The mean behavior change potential score (App Behavior Change Scale) was 8.5 (SD 3.1) of 21 (range 3-15).
CONCLUSIONS: Mobile apps available to support patient care received from a physiotherapist are of variable quality. Although they contain some BCTs, the potential for behavior change varied widely across apps.
UNASSIGNED: RR2-10.2196/29047.
OBJECTIVE: The primary aim of this study was to describe the range of mobile apps in app stores that are intended for use by patients to support physiotherapy care. The secondary aims were to assess app quality, BCTs, and their behavior change potential.
METHODS: A systematic review of mobile apps in app stores was undertaken. The Apple App Store and Google Play were searched using a 2-step search strategy, using terms relevant to the physiotherapy discipline. Strict inclusion and exclusion criteria were applied: apps had to be intended for use by patients and be self-contained (or stand-alone) without the requirement to be used in conjunction with a partner wearable device or another plugin. Included apps were coded for BCTs using the Behavior Change Technique Taxonomy version 1. App quality was assessed using the Mobile App Rating Scale, and the App Behavior Change Scale was used to assess the app\'s potential to change behavior.
RESULTS: In total, 1240 apps were screened, and 35 were included. Of these 35 apps, 22 (63%) were available on both the Apple App Store and Google Play platforms. In total, 24 (69%) were general in their focus (eg, not condition-specific), with the remaining 11 (31%) being more specific (eg, knee rehabilitation and pelvic floor training). The mean app quality score (Mobile App Rating Scale) was 3.7 (SD 0.4) of 5 (range 2.8-4.5). The mean number of BCTs identified per app was 8.5 (SD 3.6). BCTs most frequently included in the apps were instruction on how to perform a behavior (n=32), action planning (n=30), and self-monitoring of behavior (n=28). The mean behavior change potential score (App Behavior Change Scale) was 8.5 (SD 3.1) of 21 (range 3-15).
CONCLUSIONS: Mobile apps available to support patient care received from a physiotherapist are of variable quality. Although they contain some BCTs, the potential for behavior change varied widely across apps.
UNASSIGNED: RR2-10.2196/29047.
摘要：
背景：通过移动应用程序提供的移动健康干预措施越来越多地用于理疗护理。这可能是因为应用程序具有促进行为改变的潜力，这对于物理治疗师提供的护理目标至关重要。使用应用程序的好处是它们能够整合行为改变技术（BCT），可以优化理疗干预的有效性。研究继续表明，尽管它们很重要，在患者管理中经常缺少行为改变策略。评估物理治疗师可以用来驱动行为改变的移动应用程序可以为临床实践提供信息，并有可能改善患者的预后。检查应用程序的质量并探索其可以支持行为改变和理疗护理的关键功能是这种评估的重要方面。
目的：本研究的主要目的是描述应用商店中用于患者支持理疗的移动应用程序的范围。次要目标是评估应用程序质量，BCT,和他们的行为改变潜力。
方法：对应用商店中的移动应用进行了系统评价。苹果应用商店和谷歌播放使用两步搜索策略进行搜索，使用与物理治疗学科相关的术语。应用了严格的纳入和排除标准：应用程序必须旨在供患者使用，并且是独立的（或独立的），而无需与合作伙伴可穿戴设备或其他插件结合使用。使用行为更改技术分类第1版对包含的应用程序进行了BCT编码。应用质量使用移动应用评级量表进行评估，和应用程序行为更改量表用于评估应用程序更改行为的潜力。
结果：总计，筛选了1240个应用程序，包括35个。在这35个应用程序中，22（63％）在AppleAppStore和GooglePlay平台上都可用。总的来说,24人(69%)的焦点一般(例如，不是特定于条件的)，其余11人(31%)更具体(例如，膝关节康复和盆底训练)。平均应用程序质量评分（移动应用程序评定量表）为5分之3.7（SD0.4）（范围2.8-4.5）。每个应用程序确定的BCT的平均数量为8.5（SD3.6）。BCT最常包含在应用程序中的是关于如何执行行为的指令（n=32），行动计划(n=30)，和行为自我监控(n=28)。平均行为改变潜力评分（应用行为改变量表）为21分之8.5（SD3.1）（范围3-15）。
结论：可用于支持物理治疗师提供的患者护理的移动应用程序质量参差不齐。虽然它们包含一些BCT，行为改变的可能性在不同的应用程序中差异很大。
■RR2-10.2196/29047。
目的：本研究的主要目的是描述应用商店中用于患者支持理疗的移动应用程序的范围。次要目标是评估应用程序质量，BCT,和他们的行为改变潜力。
方法：对应用商店中的移动应用进行了系统评价。苹果应用商店和谷歌播放使用两步搜索策略进行搜索，使用与物理治疗学科相关的术语。应用了严格的纳入和排除标准：应用程序必须旨在供患者使用，并且是独立的（或独立的），而无需与合作伙伴可穿戴设备或其他插件结合使用。使用行为更改技术分类第1版对包含的应用程序进行了BCT编码。应用质量使用移动应用评级量表进行评估，和应用程序行为更改量表用于评估应用程序更改行为的潜力。
结果：总计，筛选了1240个应用程序，包括35个。在这35个应用程序中，22（63％）在AppleAppStore和GooglePlay平台上都可用。总的来说,24人(69%)的焦点一般(例如，不是特定于条件的)，其余11人(31%)更具体(例如，膝关节康复和盆底训练)。平均应用程序质量评分（移动应用程序评定量表）为5分之3.7（SD0.4）（范围2.8-4.5）。每个应用程序确定的BCT的平均数量为8.5（SD3.6）。BCT最常包含在应用程序中的是关于如何执行行为的指令（n=32），行动计划(n=30)，和行为自我监控(n=28)。平均行为改变潜力评分（应用行为改变量表）为21分之8.5（SD3.1）（范围3-15）。
结论：可用于支持物理治疗师提供的患者护理的移动应用程序质量参差不齐。虽然它们包含一些BCT，行为改变的可能性在不同的应用程序中差异很大。
■RR2-10.2196/29047。
