Where rehab actually happens
A patient might spend an hour a week with their therapist and the other hundred-plus waking hours on their own. Most of the work that drives recovery — the home exercise program — happens in that unobserved time. When adherence is strong, outcomes tend to follow. When it drifts, progress stalls, and the clinician often doesn't find out until the next visit. It drifts often: one review of connected-health approaches cites estimates of home-exercise non-adherence as high as 50% (Argent et al., 2018).
Why adherence slips
Patients rarely abandon their programs out of indifference. A systematic review of physiotherapy outpatient clinics found strong evidence linking poor adherence to factors such as low self-efficacy, depression and anxiety, poor social support, more perceived barriers to exercise, and pain during exercise (Jack et al., 2010). Exercises are forgotten, performed incorrectly, or quietly dropped when it's unclear whether they're helping. Without feedback, a home program can feel like effort sent into a void. The motivation that's easy to summon in the clinic is harder to sustain alone at the kitchen counter.
Visibility changes the dynamic
When home activity becomes visible — captured, tracked, and reflected back — the loop closes. Clinicians can see who is engaging and who is struggling, and intervene before a small lapse becomes a lost month. Patients, in turn, get confirmation that their effort is registering and moving the needle. Connected-health tools can build in features designed to support adherence — self-monitoring, coaching, education — and measure adherence more objectively than self-report (Argent et al., 2018). The evidence is still maturing: a systematic review of interventions to support adherence, including activity monitoring with feedback, found promising results but concluded there wasn't yet enough data to endorse any single approach (Peek et al., 2016).
Measurement as encouragement
The most useful adherence tools don't police patients; they encourage them. Objective progress data gives people a reason to keep going, and gives clinicians the signal they need to adjust a program that isn't landing. The aim isn't to add pressure between visits, but to extend the support of the clinic into the place where recovery is really won.
References
- Argent R, Daly A, Caulfield B. Patient involvement with home-based exercise programs: can connected health interventions influence adherence? JMIR mHealth and uHealth. 2018;6(3):e47. doi:10.2196/mhealth.8518
- Jack K, McLean SM, Moffett JK, Gardiner E. Barriers to treatment adherence in physiotherapy outpatient clinics: a systematic review. Manual Therapy. 2010;15(3):220-228. doi:10.1016/j.math.2009.12.004
- Peek K, Sanson-Fisher R, Mackenzie L, Carey M. Interventions to aid patient adherence to physiotherapist prescribed self-management strategies: a systematic review. Physiotherapy. 2016;102(2):127-135. doi:10.1016/j.physio.2015.10.003