Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Currently submitted to: JMIR Formative Research

Date Submitted: Aug 1, 2026
Open Peer Review Period: Aug 2, 2026 - Sep 27, 2026
(currently open for review)

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Feasibility and Acceptability of an Integrated Digital Fall-Management Program for Older Adults at High Risk for Falls: A Quality-Improvement Evaluation

  • Richard Milani; 
  • Elizabeth Mulcahy; 
  • Jonathan Wilt; 
  • Jonathan Entwisle; 
  • Hakm Murad; 
  • Carl Lavie

ABSTRACT

Background:

Falls are the leading cause of trauma-related hospitalization in older US adults. Conventional personal emergency response systems (PERS) suffer from low wear-time, stigma, and dispatcher-based all-or-none escalation, and rarely include prevention. We evaluated a virtual fall-management program pairing a consumer smartwatch PERS, 24/7 emergency-medical-technician (EMT) triage, and a multifactorial prevention curriculum in older adults at high fall risk.

Objective:

To evaluate the feasibility, acceptability, and engagement of an integrated digital fall-management program in a vulnerable population of older adults at elevated fall risk, and to explore its association with serious fall events and health care utilization in a matched-cohort quality-improvement evaluation.

Methods:

Propensity-score–matched, hypothesis-generating quality-improvement evaluation. Patients ≥65 at elevated fall risk in Medicare Advantage (MA), enrolled August 2021–June 2022, were matched 1:1 (n = 304 each) to Medicare Shared Savings Program (MSSP) controls. Participants received an Apple Watch with fall detection, a 24/7 EMT triage service, and a multifactorial prevention program. The primary endpoint was time to a first serious fall event (fall-related inpatient [IP] or skilled-nursing-facility/long-term-care [SNF/LTC] admission). Feasibility, engagement, and acceptability were assessed within the enrolled cohort (n = 396).

Results:

The program was delivered, sustained, and highly accepted: home-safety task completion was 83.8%, 58.6% participated in medication review, and the Net Promoter Score was 86 (95% survey response among completers). Over mean follow-up of 11.7 months, serious fall events fell ≈55% (20 vs 44), with time to first event prolonged (Cox HR 0.47; 95% CI, 0.24–0.90; P = .024). All-cause IP admissions fell 35% (IRR 0.65; P = .003); fall-related and all-cause SNF/LTC were reduced (IRR 0.31, P = .014; IRR 0.45, P = .003). As designed, fall-related ED visits rose (IRR 1.53; P = .07).

Conclusions:

An integrated digital fall-management program was feasible, sustained, and highly acceptable in a vulnerable, older population that current models leave unmanaged. Exploratory comparisons with a traditional-Medicare cohort suggested fewer serious falls, hospitalizations, and post-acute placements; because the arms reflect different Medicare products and opt-in enrollment, these associations are hypothesis-generating and motivate a randomized trial.


 Citation

Please cite as:

Milani R, Mulcahy E, Wilt J, Entwisle J, Murad H, Lavie C

Feasibility and Acceptability of an Integrated Digital Fall-Management Program for Older Adults at High Risk for Falls: A Quality-Improvement Evaluation

JMIR Preprints. 01/08/2026:108545

DOI: 10.2196/preprints.108545

URL: https://preprints.jmir.org/preprint/108545

Download PDF


Request queued. Please wait while the file is being generated. It may take some time.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.