Algorithm-Based Mobile Texting Platform for the Self-Management of Interstitial Cystitis/Bladder Pain Syndrome: Pilot...

We developed an algorithm-based mobile texting platform for promoting self-management in patients with interstitial cystitis/bladder pain syndrome (IC/BPS). Our aim was to measure the feasibility, usability, and potential utility of the platform.

A texting platform that delivered 4 treatment modules (education and behavioral modification, cognitive behavioral therapy, pelvic floor physical therapy, and guided mindfulness practices) and an automated weekly message over 6 weeks was developed. Feasibility and usability were determined using patient engagement (proportion of platform messages to which patients responded) and System Usability Scale. Satisfaction with patient-physician communication questionnaire, Pain Self-Efficacy Scale, and Interstitial Cystitis Symptom and Problem Index were administered before and after the intervention.

Engagement with the platform in 52 female patients with IC/BPS (median age [IQR] 40 [30-48] years) was 76.9%. The commonest module selected by patients was pelvic floor physical therapy (50%) followed by cognitive behavioral therapy (34%) and guided mindfulness (15%). System usability score (median, IQR) was 87 (83-95), indicating high usability. Satisfaction with patient-physician communication improved significantly (median change, 4; IQR, 1-9; P < .001). Pain self-efficacy score improved from moderate impairment at baseline to minimal impairment at 6 weeks (median change, 10; IQR, 2-18; P < .001). Urinary symptoms scores also improved (median change Interstitial Cystitis Symptom Index, -3; IQR, -5 to -1.5; P < .001, Problem Index, -2; IQR, 5.5 to -0.5; P < .001).

An automated mobile platform has the potential for improving access to self-management strategies and easing clinicians' challenge of counseling patients with IC/BPS during time-limited in-person visits.

ClinicalTrials.gov Identifier: NCT05260112.