Login / Signup

Feasibility of a Reinforcement Learning-Enabled Digital Health Intervention to Promote Mammograms: Retrospective, Single-Arm, Observational Study.

Amy BucherE Susanne BlazekAshley B West
Published in: JMIR formative research (2022)
The reinforcement learning-enabled email intervention is feasible to implement in a health system to engage patients who are overdue for their mammograms to schedule and attend a recommended screening. In this feasibility study, the intervention was associated with scheduling and attending mammograms for patients who were significantly overdue for recommended screening. Moreover, the intervention showed proportionate reach across demographic subpopulations. This suggests that the intervention may be effective at engaging patients of many different backgrounds who are overdue for screening. Future research will establish the effectiveness of this type of intervention compared to typical health system outreach to patients who have not had recommended screenings as well as identify ways to enhance its reach and impact.
Keyphrases
  • randomized controlled trial
  • end stage renal disease
  • chronic kidney disease
  • ejection fraction
  • peritoneal dialysis
  • healthcare
  • prognostic factors
  • public health
  • patient reported outcomes