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Abstract：
BACKGROUND: Self-management is endorsed in clinical practice guidelines for the care of musculoskeletal pain. In a randomized clinical trial, we tested the effectiveness of an artificial intelligence-based self-management app (selfBACK) as an adjunct to usual care for patients with low back and neck pain referred to specialist care.
OBJECTIVE: This study is a process evaluation aiming to explore patients\' engagement and experiences with the selfBACK app and specialist health care practitioners\' views on adopting digital self-management tools in their clinical practice.
METHODS: App usage analytics in the first 12 weeks were used to explore patients\' engagement with the SELFBACK app. Among the 99 patients allocated to the SELFBACK interventions, a purposive sample of 11 patients (aged 27-75 years, 8 female) was selected for semistructured individual interviews based on app usage. Two focus group interviews were conducted with specialist health care practitioners (n=9). Interviews were analyzed using thematic analysis.
RESULTS: Nearly one-third of patients never accessed the app, and one-third were low users. Three themes were identified from interviews with patients and health care practitioners: (1) overall impression of the app, where patients discussed the interface and content of the app, reported on usability issues, and described their app usage; (2) perceived value of the app, where patients and health care practitioners described the primary value of the app and its potential to supplement usual care; and (3) suggestions for future use, where patients and health care practitioners addressed aspects they believed would determine acceptance.
CONCLUSIONS: Although the app\'s uptake was relatively low, both patients and health care practitioners had a positive opinion about adopting an app-based self-management intervention for low back and neck pain as an add-on to usual care. Both described that the app could reassure patients by providing trustworthy information, thus empowering them to take actions on their own. Factors influencing app acceptance and engagement, such as content relevance, tailoring, trust, and usability properties, were identified.
BACKGROUND: ClinicalTrials.gov NCT04463043; https://clinicaltrials.gov/study/NCT04463043.
OBJECTIVE: This study is a process evaluation aiming to explore patients\' engagement and experiences with the selfBACK app and specialist health care practitioners\' views on adopting digital self-management tools in their clinical practice.
METHODS: App usage analytics in the first 12 weeks were used to explore patients\' engagement with the SELFBACK app. Among the 99 patients allocated to the SELFBACK interventions, a purposive sample of 11 patients (aged 27-75 years, 8 female) was selected for semistructured individual interviews based on app usage. Two focus group interviews were conducted with specialist health care practitioners (n=9). Interviews were analyzed using thematic analysis.
RESULTS: Nearly one-third of patients never accessed the app, and one-third were low users. Three themes were identified from interviews with patients and health care practitioners: (1) overall impression of the app, where patients discussed the interface and content of the app, reported on usability issues, and described their app usage; (2) perceived value of the app, where patients and health care practitioners described the primary value of the app and its potential to supplement usual care; and (3) suggestions for future use, where patients and health care practitioners addressed aspects they believed would determine acceptance.
CONCLUSIONS: Although the app\'s uptake was relatively low, both patients and health care practitioners had a positive opinion about adopting an app-based self-management intervention for low back and neck pain as an add-on to usual care. Both described that the app could reassure patients by providing trustworthy information, thus empowering them to take actions on their own. Factors influencing app acceptance and engagement, such as content relevance, tailoring, trust, and usability properties, were identified.
BACKGROUND: ClinicalTrials.gov NCT04463043; https://clinicaltrials.gov/study/NCT04463043.
摘要：
背景：自我管理在治疗肌肉骨骼疼痛的临床实践指南中得到认可。在一项随机临床试验中，我们测试了基于人工智能的自我管理应用程序(self-BACK)作为常规护理的辅助手段的有效性,用于治疗转介专科护理的下背部和颈部疼痛患者.
目的：本研究是一项过程评估，旨在探讨患者在临床实践中采用数字自我管理工具的自我反馈应用程序和专业医疗保健从业人员的参与和经验。
方法：使用前12周的应用程序使用分析来探索患者对SELFBACK应用程序的参与度。在分配给SELFBACK干预的99名患者中，11名患者的目的性样本(年龄27-75岁，根据应用程序的使用情况，选择了8名女性）进行半结构化的个人访谈。对专业保健医生进行了两次焦点小组访谈（n=9）。访谈采用主题分析法进行分析。
结果：近三分之一的患者从未访问过应用程序，三分之一是低用户。从与患者和医疗保健从业人员的访谈中确定了三个主题：（1）对应用程序的总体印象，患者讨论应用程序的界面和内容，报告了可用性问题，并描述了他们的应用使用情况；(2)应用的感知价值，患者和医疗保健从业人员描述了该应用程序的主要价值及其补充常规护理的潜力；以及（3）未来使用的建议，患者和医疗保健从业人员解决了他们认为将决定接受度的方面。
结论：尽管应用的使用率相对较低，患者和卫生保健从业人员对采用基于应用程序的自我管理干预作为常规护理的附加措施来治疗腰背和颈部疼痛持积极看法.两者都描述了该应用程序可以通过提供可信赖的信息来使患者放心，从而授权他们自己采取行动。影响应用接受度和参与度的因素，例如内容相关性，剪裁,信任,和可用性属性，已确定。
背景：ClinicalTrials.govNCT04463043;https://clinicaltrials.gov/study/NCT04463043。
目的：本研究是一项过程评估，旨在探讨患者在临床实践中采用数字自我管理工具的自我反馈应用程序和专业医疗保健从业人员的参与和经验。
方法：使用前12周的应用程序使用分析来探索患者对SELFBACK应用程序的参与度。在分配给SELFBACK干预的99名患者中，11名患者的目的性样本(年龄27-75岁，根据应用程序的使用情况，选择了8名女性）进行半结构化的个人访谈。对专业保健医生进行了两次焦点小组访谈（n=9）。访谈采用主题分析法进行分析。
结果：近三分之一的患者从未访问过应用程序，三分之一是低用户。从与患者和医疗保健从业人员的访谈中确定了三个主题：（1）对应用程序的总体印象，患者讨论应用程序的界面和内容，报告了可用性问题，并描述了他们的应用使用情况；(2)应用的感知价值，患者和医疗保健从业人员描述了该应用程序的主要价值及其补充常规护理的潜力；以及（3）未来使用的建议，患者和医疗保健从业人员解决了他们认为将决定接受度的方面。
结论：尽管应用的使用率相对较低，患者和卫生保健从业人员对采用基于应用程序的自我管理干预作为常规护理的附加措施来治疗腰背和颈部疼痛持积极看法.两者都描述了该应用程序可以通过提供可信赖的信息来使患者放心，从而授权他们自己采取行动。影响应用接受度和参与度的因素，例如内容相关性，剪裁,信任,和可用性属性，已确定。
背景：ClinicalTrials.govNCT04463043;https://clinicaltrials.gov/study/NCT04463043。
