Literature DB >> 26741194

Reducing Emergency Department Utilization Through Engagement in Telemedicine by Senior Living Communities.

Suzanne M Gillespie1,2, Manish N Shah1,2,3, Erin B Wasserman1,3, Nancy E Wood1, Hongyue Wang4, Katia Noyes3,5, Dallas Nelson2, Ann Dozier3, Kenneth M McConnochie6.   

Abstract

BACKGROUND: High-intensity telemedicine has been shown to reduce the need for emergency department (ED) care for older adult senior living community (SLC) residents with acute illnesses. We evaluated the effect of SLC engagement in the telemedicine program on ED use rates.
MATERIALS AND METHODS: We performed a secondary analysis of data from a prospective cohort study evaluating the effectiveness of high-intensity telemedicine for SLC residents. We compared the annual rate of change in ED use among subjects who resided in SLC units that were more engaged in telemedicine services with that among subjects who resided in SLC units that were less engaged in telemedicine and control subjects who lived at facilities without access to telemedicine services.
RESULTS: During the study, subjects had 503 telemedicine visits, with 362 (72.0%) in the more engaged SLCs and 141 (28.0%) in the less engaged SLCs. For subjects residing in more engaged SLCs, ED use decreased at an annualized rate of 28% (rate ratio [RR] = 0.72; 95% confidence interval [CI], 0.58-0.89), whereas in the less engaged (RR = 0.962; 95% CI, 0.776-1.19) and control (RR = 0.909, 95% CI, 0.822-1.07) groups there was no significant change in ED use (p = 0.036 for group × time interaction).
CONCLUSIONS: Individuals residing in more engaged SLCs experienced a greater decrease in ED use compared with subjects residing in less engaged SLCs or those without access to high-intensity telemedicine for acute illnesses. We identified potential factors associated with more engaged SLCs, but further research is needed to understand resident and staff engagement and how to increase it.

Keywords:  acute illness; aging; assisted living; telemedicine

Mesh:

Year:  2016        PMID: 26741194     DOI: 10.1089/tmj.2015.0152

Source DB:  PubMed          Journal:  Telemed J E Health        ISSN: 1530-5627            Impact factor:   3.536


  5 in total

1.  Key drivers involved in the telemonitoring of covid-19 for self-health management: an exploratory factor analysis.

Authors:  Letizia Lo Presti; Mario Testa; Giulio Maggiore; Vittoria Marino
Journal:  BMC Health Serv Res       Date:  2022-04-19       Impact factor: 2.908

2.  Novel Coronavirus (COVID-19): Leveraging Telemedicine to Optimize Care While Minimizing Exposures and Viral Transmission.

Authors:  Vivek Chauhan; Sagar Galwankar; Bonnie Arquilla; Manish Garg; Salvatore Di Somma; Ayman El-Menyar; Vimal Krishnan; Joel Gerber; Reuben Holland; Stanislaw P Stawicki
Journal:  J Emerg Trauma Shock       Date:  2020-03-19

Review 3.  Determining if Telehealth Can Reduce Health System Costs: Scoping Review.

Authors:  Centaine L Snoswell; Monica L Taylor; Tracy A Comans; Anthony C Smith; Leonard C Gray; Liam J Caffery
Journal:  J Med Internet Res       Date:  2020-10-19       Impact factor: 5.428

Review 4.  Defining the concepts of a smart nursing home and its potential technology utilities that integrate medical services and are acceptable to stakeholders: a scoping review.

Authors:  Yuanyuan Zhao; Fakhrul Zaman Rokhani; Shariff-Ghazali Sazlina; Navin Kumar Devaraj; Jing Su; Boon-How Chew
Journal:  BMC Geriatr       Date:  2022-10-07       Impact factor: 4.070

5.  Editorial: Telehealth and Geriatrics.

Authors:  J E Morley
Journal:  J Nutr Health Aging       Date:  2021       Impact factor: 4.075

  5 in total

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