This study describes the prototype testing and clinical validation of the Fit-Frailty App, a fully guided, interactive mobile health (mHealth) app to assess frailty and sarcopenia. This multi-dimensional tool is freely available on the App Store and considers medical history, physical performance, cognition, nutrition, daily function and psychosocial domains. To guide management, a total frailty score and clinical summary of underlying "risk flags" are provided. Our objectives were to examine usability, feasibility, criterion and construct validity.

Cross-sectional

Outpatient geriatric medicine clinic

Community-dwelling older adults, age 65 years or older

The primary outcome of the clinical validation study was criterion validity. A research nurse administered the Fit-Frailty App during a routine clinic appointment. Clinicians simultaneously completed a paper-based frailty index (FI) tool with similar items from a comprehensive geriatric assessment (FI-CGA). Total scores for both assessments were computed using the cumulative deficits frailty index scoring method. Intraclass and Pearson correlation coefficients and 95% CIs were calculated to examine criterion validity. Secondary outcomes were construct validity, feasibility (eg, completion rates, safety occurrences, resources) and usability (eg, ratings on ease of use, time to complete the app).

In the clinical validation study (n=75, mean age 79.2, SD=7.0, 53% female), the mean total Fit-Frailty App score was 0.33 (SD=0.13) with 73% of our sample considered frail or severely frail. The app presented comparable results to FI-CGA (moderate to good validity; ICC=0.65, 95%CI=0.50–0.76) with a strong association between the measures (r=0.74, 95%CI=0.62–0.83). In our prototype and clinical cohorts, the app had a 100% completion rate with no safety occurrences and had high usability ratings.

The Fit-Frailty App is a feasible and valid tool that can be used in research and clinical settings to comprehensively assess frailty and sarcopenia by non-geriatricians and could assist with developing targeted interventions.

Hospitalisation is one of the most stressful life events for older adults, particularly for those who are pre-frail or frail. Multi-component community-based interventions have the potential to address the complex needs of older adults post-acute care admission. While some available interventions have been developed with end-user engagement, fully involving older people who are pre-frail or frail in the design of interventions has been less common. Multi-component community-based interventions that address the needs of older adults and their care partners with potential implementation barriers informed by healthcare providers, community partners and health system decision makers are needed. This protocol paper describes the planned process of co-designing for older patients discharged into the community, a Post-Acute Care Intervention for Frailty using Information and Communication technology.

The development of a complex multi-component frailty intervention which meets older people’s needs involves several concurrent tasks and methodologies, each informed by co-design and conducted with consideration to eventual implementation. These tasks include: (1) establishing a Research Advisory Board, (2) assessing the feasibility and validity of using hospital administrative data to identify frail or pre-frail older adults and their needs, (3) conducting a needs assessment of patients returning to the community, (4) mapping community assets to identify existing programmes and services to help tailor the intervention, (5) co-designing a multicomponent frailty intervention, (6) selecting study outcome measures and (7) selecting and tailoring a digital health patient portal to support intervention delivery, data capture and communication.

Each task requiring ethics approval will be submitted to the Hamilton Integrated Research Ethics Board at McMaster University. Results will be disseminated through peer-reviewed journal articles, conferences and networks of relevant knowledge users who have the capacity to promote dissemination of the results. A toolkit will be developed to help researchers and healthcare providers replicate the methodology for other populations.