Acceptability of mHealth augmentation of Collaborative Care: A mixed methods pilot study
- PMID: 29272712
- PMCID: PMC6512981
- DOI: 10.1016/j.genhosppsych.2017.11.010
Acceptability of mHealth augmentation of Collaborative Care: A mixed methods pilot study
Abstract
Objective: To assess the feasibility and acceptability of a mobile health platform supporting Collaborative Care.
Method: Collaborative Care patients (n=17) used a smartphone app to transmit PHQ-9 and GAD-7 scores and sensor data to a dashboard used by one care manager. Patients completed usability and satisfaction surveys and qualitative interviews at 4weeks and the care manager completed a qualitative interview. Mobile metadata on app usage was obtained.
Results: All patients used the app for 4weeks, but only 35% (n=6) sustained use at 8weeks. Prior to discontinuing use, 88% (n=15) completed all PHQ-9 and GAD-7 measures, with lower response rates for daily measures. Four themes emerged from interviews: understanding the purpose; care manager's role in supporting use; benefits of daily monitoring; and privacy / security concerns. Two themes were user-specific: patients' desire for personalization; and care manager burden.
Conclusions: The feasibility and acceptability of the mobile platform is supported by the high early response rate, however attrition was steep. Our qualitative findings revealed nuanced participant experiences and uncovered some concerns about mobile health. To encourage retention, attention may need to be directed toward promoting patient understanding and provider engagement, and offering personalized patient experiences.
Keywords: Depression; Mental health services; Patient reported outcome measures; Primary health care; Smartphone; Telemedicine.
Copyright © 2017 Elsevier Inc. All rights reserved.
Conflict of interest statement
Conflicts of interest
Ms. Kincler is employed by Ginger.io. Ms. Miller was employed by the University of Washington Neighborhood Clinics at the time the study was conducted. None of the other authors have any conflicts of interest to disclose.
References
-
- Steinhubl SR, Muse ED, Topol EJ. Can mobile health technologies transform health care? JAMA 2013;310(22):2395–6. - PubMed
-
- Torous J, Baker JT. Why psychiatry needs data science and data science needs psychiatry: connecting with technology. JAMA Psychiat 2016;73(1):3–4. - PubMed
-
- Andersson G, Cuijpers P. Internet-based and other computerized psychological treatments for adult depression: a meta-analysis. Cogn Behav Ther 2009;38(4):196–205. - PubMed
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