Telemedicine intervention fails to reduce nursing home hospitalizations, JMIR Aging study finds
Researchers analyzed 1,260 statistical model specifications to evaluate the real-world impact of the Optimal@NRW acute care intervention across 24 nursing homes
JMIR Publications
image: Intersectoral Telemedicine Fails to Significantly Reduce Hospitalizations Among Nursing Home Residents, German Study Finds Researchers analyzed 1,260 statistical model specifications to evaluate the real-world impact of the Optimal@NRW acute care intervention across 24 nursing homes.
Credit: Doreen Mießen; Copyright: Doreen Mießen; License: Licensed by the authors
(Toronto, August 25, 2026) Implementing an intersectoral, telemedicine-based intervention in nursing homes did not lead to a statistically significant reduction in patient hospitalizations, according to a prospective, multicenter cluster-randomized trial led by John Grosser, Sophie Pauge, Birthe Aufenberg, and Prof. Dr. Wolfgang Greiner from the Department of Health Economics and Health Care Management at Bielefeld University, alongside Miriam Hertwig, Dr. med. Jenny Unterkofler, Dr. med. Christian Hübel, and Prof. Dr. med. Jörg Christian Brokmann from the Department for Acute and Emergency Medicine at University Hospital RWTH Aachen, in collaboration with Dr. med. David Brücken (Rhine-Meuse Hospital Würselen) and the Optimal@NRW Research Group.
Published in JMIR Aging, the study evaluated the Optimal@NRW project across 24 nursing homes in western Germany between May 2021 and April 2023. Designed to address nonemergency hospitalizations and resource shortages in long-term care, the intervention integrated a 24/7 telemedical consultation center, mobile nonphysician medical assistants, a virtual emergency hub, and a software-based early warning system for vital signs.
To rigorously evaluate the intervention’s effect on hospitalization rates and total days spent in care, the researchers performed a specification curve analysis, evaluating 1,260 distinct mixed-effects regression model specifications across primary data and statutory health insurance claims data. Although roughly two-thirds of the model variations indicated a numerical trend toward reduced hospitalizations, zero models demonstrated a statistically significant intervention effect ($P < .05$).
The authors noted that several practical challenges and external events likely compromised the intervention's success:
-
External Disruptions: The trial period coincided with severe regional flooding in western Germany and ongoing COVID-19 pandemic restrictions, both of which disrupted facility operations and baseline hospitalization rates.
-
Staff Workload and Usability: Complex, multi-component tasks—such as daily manual vital sign recording—added significant operational stress to nursing staff already facing severe labor shortages.
-
Physician Integration: Engaging general practitioners (GPs) directly into the telemedical framework proved difficult, limiting the true intersectoral scope of the program.
-
Short Adaptation Windows: Intervention phases lasting 6 to 15 months per group may have been insufficient for staff to fully adapt to digital workflows.
The research team concluded that future digital health interventions in long-term care should target specific, avoidable admission metrics rather than overall hospitalizations. They also recommend extended implementation phases, simplified automated solutions such as wearable monitoring devices, and deeper structural integration with general practitioners.
Original article:
Grosser J, Pauge S, Aufenberg B, Greiner W, Hertwig M, Unterkofler J, Brücken D, Hübel C, Optimal@NRW Research Group , Brokmann J
Effect of an Intersectoral Telemedicine Intervention on Hospitalization in Nursing Home Patients: Specification Curve Analysis of a Stepped Wedge Cluster Randomized Trial
JMIR Aging 2026;9:e75721
URL: https://aging.jmir.org/2026/1/e75721
DOI: 10.2196/75721
About the Journal
Part of the JMIR family of journals JMIR Aging is a premier peer-reviewed, open-access journal focused on digital health, medical internet applications, and innovative technologies for aging populations.
About JMIR Publications
JMIR Publications is a leading open access publisher of digital health research and a champion of open science. With a focus on author advocacy and research amplification, JMIR Publications partners with researchers to advance their careers and maximize the impact of their work. As a technology organization with publishing at its core, we provide innovative tools and resources that go beyond traditional publishing, supporting researchers at every step of the dissemination process. Our portfolio features a range of peer-reviewed journals, including the renowned Journal of Medical Internet Research.
To learn more about JMIR Publications, please visit jmirpublications.com or connect with us via X, LinkedIn, YouTube, Facebook, Bluesky, and Instagram.
Head office: 130 Queens Quay East, Unit 1100, Toronto, ON, M5A 0P6 Canada
Media contact: communications@jmir.org
The content of this communication is licensed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, published by JMIR Publications, is properly cited.
Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.