TY - JOUR AU - Rong, Jian AU - Pathiravasan, Chathurangi H AU - Zhang, Yuankai AU - Faro, Jamie M AU - Wang, Xuzhi AU - Schramm, Eric AU - Borrelli, Belinda AU - Benjamin, Emelia J AU - Liu, Chunyu AU - Murabito, Joanne M PY - 2024 DA - 2024/12/31 TI - Baseline Smartphone App Survey Return in the Electronic Framingham Heart Study Offspring and Omni 1 Study: eCohort Study JO - JMIR Aging SP - e64636 VL - 7 KW - mHealth KW - mobile health KW - mobile application KW - smartphone KW - digital health KW - digital technology KW - digital intervention KW - gerontology KW - geriatric KW - older adult KW - aging KW - eFHS KW - eCohort KW - smartphone app KW - baseline app surveys KW - Framingham Heart Study KW - health information KW - information collection KW - mobile phone AB - Background: Smartphone apps can be used to monitor chronic conditions and offer opportunities for self-assessment conveniently at home. However, few digital studies include older adults. Objective: We aim to describe a new electronic cohort of older adults embedded in the Framingham Heart Study including baseline smartphone survey return rates and survey completion rates by smartphone type (iPhone [Apple Inc] and Android [Google LLC] users). We also aim to report survey results for selected baseline surveys and participant experience with this study’s app. Methods: Framingham Heart Study Offspring and Omni (multiethnic cohort) participants who owned a smartphone were invited to download this study’s app that contained a range of survey types to report on different aspects of health including self-reported measures from the Patient-Reported Outcomes Measurement Information System (PROMIS). iPhone users also completed 4 tasks including 2 cognitive and 2 physical function testing tasks. Baseline survey return and completion rates were calculated for 12 surveys and compared between iPhone and Android users. We calculated standardized scores for the PROMIS surveys. The Mobile App Rating Scale (MARS) was deployed 30 days after enrollment to obtain participant feedback on app functionality and aesthetics. Results: We enrolled 611 smartphone users (average age 73.6, SD 6.3 y; n=346, 56.6% women; n=88, 14.4% Omni participants; 478, 78.2% iPhone users) and 596 (97.5%) returned at least 1 baseline survey. iPhone users had higher app survey return rates than Android users for each survey (range 85.5% to 98.3% vs 73.8% to 95.2%, respectively), but survey completion rates did not differ in the 2 smartphone groups. The return rate for the 4 iPhone tasks ranged from 80.9% (380/470) for the gait task to 88.9% (418/470) for the Trail Making Test task. The Electronic Framingham Heart Study participants had better standardized t scores in 6 of 7 PROMIS surveys compared to the general population mean (t score=50) including higher cognitive function (n=55.6) and lower fatigue (n=45.5). Among 469 participants who returned the MARS survey, app functionality and aesthetics was rated high (total MARS score=8.6 on a 1‐10 scale). Conclusions: We effectively engaged community-dwelling older adults to use a smartphone app designed to collect health information relevant to older adults. High app survey return rates and very high app survey completion rates were observed along with high participant rating of this study’s app. SN - 2561-7605 UR - https://aging.jmir.org/2024/1/e64636 UR - https://doi.org/10.2196/64636 DO - 10.2196/64636 ID - info:doi/10.2196/64636 ER -