Outcomes of a digitally delivered exercise and education treatment program for low back pain after three months (Preprint)

Evaluation of Patient-Facing Mobile Apps to Support Physiotherapy Care: Systematic Review

BACKGROUND

Mobile health interventions delivered through mobile apps are increasingly used in physiotherapy care. This may be because of the potential of apps to facilitate changes in behavior, which is central to the aims of care delivered by physiotherapists. A benefit of using apps is their ability to incorporate behavior change techniques (BCTs) that can optimize the effectiveness of physiotherapeutic interventions. Research continues to suggest that despite their importance, behavior change strategies are often missing in patient management. Evaluating mobile apps that physiotherapists can use to drive behavior change may inform clinical practice and potentially improve patient outcomes. Examining the quality of apps and exploring their key features that can support behavior change and physiotherapy care are important aspects of such an evaluation.

OBJECTIVE

The primary aim of this study was to describe the range of mobile apps in app stores that are intended for use by patients to support physiotherapy care. The secondary aims were to assess app quality, BCTs, and their behavior change potential.

METHODS

A systematic review of mobile apps in app stores was undertaken. The Apple App Store and Google Play were searched using a 2-step search strategy, using terms relevant to the physiotherapy discipline. Strict inclusion and exclusion criteria were applied: apps had to be intended for use by patients and be self-contained (or stand-alone) without the requirement to be used in conjunction with a partner wearable device or another plugin. Included apps were coded for BCTs using the Behavior Change Technique Taxonomy version 1. App quality was assessed using the Mobile App Rating Scale, and the App Behavior Change Scale was used to assess the app's potential to change behavior.

RESULTS

In total, 1240 apps were screened, and 35 were included. Of these 35 apps, 22 (63%) were available on both the Apple App Store and Google Play platforms. In total, 24 (69%) were general in their focus (eg, not condition-specific), with the remaining 11 (31%) being more specific (eg, knee rehabilitation and pelvic floor training). The mean app quality score (Mobile App Rating Scale) was 3.7 (SD 0.4) of 5 (range 2.8-4.5). The mean number of BCTs identified per app was 8.5 (SD 3.6). BCTs most frequently included in the apps were instruction on how to perform a behavior (n=32), action planning (n=30), and self-monitoring of behavior (n=28). The mean behavior change potential score (App Behavior Change Scale) was 8.5 (SD 3.1) of 21 (range 3-15).

CONCLUSIONS

Mobile apps available to support patient care received from a physiotherapist are of variable quality. Although they contain some BCTs, the potential for behavior change varied widely across apps.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.2196/29047.

Digitally delivered education and exercises for patients with hand osteoarthritis-An observational study

Hand osteoarthritis (OA) is a common form of OA, for which education and exercise are considered the first-line treatment. The aim of the present study was to examine pain and perceived hand function in participants following 3 months of digitally delivered first-line treatment for hand OA. Three-hundred-and-seventy-nine of 846 participants with clinical signs and symptoms of hand OA completed the study. The digital hand OA treatment program consists of video instructed daily exercises and patient education through text lessons. Pain (NRS, 0 no pain, 10 worst) was the primary outcome, and stiffness (NRS) and the Functional Index for Hand OsteoArthritis (FIHOA, 0 best, 30 worst) were among secondary outcomes. The McNemar test and linear mixed effect regression model were used to assess the changes in outcomes from baseline to 3-month. After three months, the digitally delivered program was associated with a significant decrease in pain intensity (mean change -1.30 (95% CI -1.49, -1.12)) and hand stiffness (mean change -0.81 (95% CI -1.02, -0.60)) but no conclusive changes in the FIHOA scores (mean change 0.3 (95% CI -0.2, 0.7)). The results agree with reports on face-to-face delivered first-line treatment for hand OA suggesting that digital treatment is a viable treatment option in patients with hand OA.