Suppr超能文献

基于移动健康应用程序数据调整类风湿性关节炎就诊时间:实施与可用性的混合方法评估

Tailoring Rheumatoid Arthritis Visit Timing Based on mHealth App Data: Mixed Methods Assessment of Implementation and Usability.

作者信息

Rudin Robert S, Santacroce Leah M, Ganguli Ishani, Solomon Daniel H

机构信息

RAND, 20 Park Plaza, Boston, MA, 02116, United States, 1 6173382059.

Division of Rheumatology, Inflammation, and Immunity, Brigham and Women's Hospital, Boston, MA, United States.

出版信息

JMIR Form Res. 2025 Apr 21;9:e60854. doi: 10.2196/60854.

Abstract

BACKGROUND

Visits to medical subspecialists are common, with follow-up timing often based on heuristics rather than evidence. Unnecessary visits contribute to long wait times for new patients. Specialists could enhance visit timing and reduce frequency by systematically monitoring patients' symptoms between visits, especially for symptom-driven conditions like rheumatoid arthritis (RA). We previously designed an intervention using a mobile health (mHealth) app to collect patient-reported outcomes (PRO). One of several aims of the app was to assist rheumatologists in determining visit timing for patients with RA. The intervention did not reduce visit frequency.

OBJECTIVE

To explore possible reasons for the lack of association between the intervention and visit frequency, we describe app usage, assess usability, and identify barriers and facilitators for using between-visit PRO data to reduce visits when patients' symptoms are stable.

METHODS

We analyzed patients' use of the app by reporting adherence (percent of PRO questionnaires completed during the 12-month study) and retention (use in the last month of the study). To examine rheumatologists' experiences, we summarized views of the electronic health record (EHR)-embedded PRO dashboard and EHR inbox messages suggesting early or deferred visits. We assessed app usability using the interactive mHealth App Usability Questionnaire for Ease of Use and Usefulness for patients and the System Usability Scale for rheumatologists. We assessed rheumatologist-level effects of intervention usage using Kruskal-Wallis rank sum and equality of proportion tests. We identified barriers and facilitators through interviews and surveys.

RESULTS

The analysis included 150 patients with RA and their 11 rheumatologists. Patients answered a median of 53.3% (IQR 34.1%-69.2%) of PRO questionnaires; this proportion varied by rheumatologist (range 40.7%-67%). Over half of the patients used the app during the final month of the study (56%, range 51%-65%, by rheumatologists); the median number of months of use was 12 (IQR 9-12). Rheumatologists viewed the dashboard 78 times (17.6% of 443 visits) with significant differences in viewing rates by rheumatologist (range 10%-66%; P<.01). There were 108 generated messages sent to rheumatologists suggesting a deferred visit (24.4% of 443 visits) with significant differences in message counts received per visit by rheumatologist (range 10.8%-22.6%; P=.03). Rheumatologists' reported barriers to offering visit deferrals included already scheduling as far out as they were comfortable and rescheduling complexities for staff. Based on 39 patient interviews and 44 surveys, patients reported 2 main barriers to app usage: questionnaire frequency not being tailored to them and reduced motivation after not discussing PRO data with their rheumatologist. A total of 5 interviewed patients received the option to defer their visits, of which 3 elected to defer the appointment and 2 chose to keep it.

CONCLUSIONS

While an mHealth app for reporting RA PROs was used frequently by patients, using these data to reduce the frequency of unneeded visits was not straightforward. Better engagement of clinicians may improve the use of PRO data.

摘要

背景

患者就诊于医学专科医生的情况很常见,随访时间通常基于经验而非证据。不必要的就诊导致新患者等待时间过长。专科医生可以通过系统地监测患者就诊期间的症状来优化就诊时间并减少就诊频率,尤其是对于类风湿关节炎(RA)这种由症状驱动的疾病。我们之前设计了一项使用移动健康(mHealth)应用程序收集患者报告结局(PRO)的干预措施。该应用程序的几个目标之一是协助风湿病学家确定RA患者的就诊时间。但该干预措施并未降低就诊频率。

目的

为探究干预措施与就诊频率缺乏关联的可能原因,我们描述应用程序的使用情况,评估其可用性,并确定在患者症状稳定时利用就诊期间PRO数据减少就诊的障碍和促进因素。

方法

我们通过报告依从性(在12个月研究期间完成的PRO问卷百分比)和留存率(研究最后一个月的使用情况)来分析患者对应用程序的使用。为了解风湿病学家的体验,我们总结了对嵌入电子健康记录(EHR)的PRO仪表板和EHR收件箱中提示提前或推迟就诊的消息的看法。我们使用针对患者易用性和有用性的交互式mHealth应用程序可用性问卷以及针对风湿病学家的系统可用性量表来评估应用程序的可用性。我们使用Kruskal-Wallis秩和检验和比例相等检验来评估干预措施使用对风湿病学家层面的影响。我们通过访谈和调查确定障碍和促进因素。

结果

分析纳入了150例RA患者及其11位风湿病学家。患者回答的PRO问卷中位数为53.3%(四分位距34.1%-69.2%);该比例因风湿病学家而异(范围40.7%-67%)。超过一半的患者在研究的最后一个月使用了该应用程序(按风湿病学家统计为56%,范围51%-65%);使用的月数中位数为12(四分位距9-12)。风湿病学家查看仪表板78次(占443次就诊的17.6%),不同风湿病学家的查看率存在显著差异(范围10%-66%;P<.01)。有108条生成的消息发送给风湿病学家提示推迟就诊(占443次就诊的24.4%),不同风湿病学家每次就诊收到的消息数量存在显著差异(范围10.8%-22.6%;P=.03)。风湿病学家报告的提供推迟就诊的障碍包括已经安排到他们觉得合适的最远时间以及工作人员重新安排的复杂性。基于39例患者访谈和44份调查,患者报告应用程序使用的2个主要障碍:问卷频率未根据他们的情况进行调整以及在未与风湿病学家讨论PRO数据后积极性降低。共有5例接受访谈的患者获得了推迟就诊的选项,其中3例选择推迟预约,2例选择保留预约。

结论

虽然患者经常使用用于报告RA PRO的mHealth应用程序,但利用这些数据减少不必要就诊的频率并非易事。更好地促使临床医生参与可能会改善PRO数据的使用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2382/12037152/386d39abeec9/formative-v9-e60854-g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验