Promoting patient engagement during care transitions after surgery using mobile technology: Lessons learned from the MobiMD pilot study

Surgery. 2022 Jul;172(1):219-225. doi: 10.1016/j.surg.2021.12.018. Epub 2022 Jan 24.

Abstract

Background: Poorly coordinated transitions of care in complex abdominal surgery patients contribute to frequent hospital readmissions and inflated healthcare spending. Mobile health (mHealth) transitional care technologies may reduce surgical readmissions yet remain understudied in high-risk surgical populations.

Methods: We conducted a single-group, prepost study of a mHealth transitional care app in 50 complex surgical patients. Eligible patients were adults undergoing complex abdominal surgery in the divisions of Surgical Oncology and Colorectal Surgery. The main outcome was app engagement, calculated by notification response rate (number of participant-entered datapoints divided by the total number of app-requested datapoints) over the 30-day postoperative period. Secondary outcomes included changes in engagement over time and by individual app feature.

Results: A total of 85% (50/59) of eligible patients enrolled. Most participants were male (58%, n = 29), and mean age was 50 years (range 24-80 years). Overall notification response rate was 28%. Among the 58% of participants (29/50) who engaged with the app at least once after discharge (app users), the average notification response rate was 45%. The mean notification response rate among app users decreased over time from 50% to 32% between weeks 1 and 4 after hospital discharge. Engagement with individual app features ranged from 48-81%, with highest engagement for symptom reports and lowest engagement for wound care instructions.

Conclusion: mHealth transitional care is feasible in complex surgical patients using only patients' existing smart devices. Randomized controlled trials are required to determine the impact on hospital readmissions, surgical outcomes, patient satisfaction, and overall resource utilization.

Publication types

  • Research Support, Non-U.S. Gov't
  • Research Support, N.I.H., Extramural

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Female
  • Humans
  • Male
  • Middle Aged
  • Mobile Applications*
  • Patient Participation
  • Patient Transfer
  • Pilot Projects
  • Telemedicine*
  • Young Adult