ArticleInternational journal of telemedicine and applications2016
Economic Modeling of Heart Failure Telehealth Programs: When Do They Become Cost Saving?
Article in International journal of telemedicine and applications, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Understanding heart failure; explaining telehealth - a hermeneutic systematic review.BMC cardiovascular disorders · 2017Pooled it
- A Scoping Review of Methods for Extrapolating Costs and Effects in Economic Evaluations of Remote Monitoring.PharmacoEconomics - open · 2026Review
- Complex intervention for MS patients in Germany - can it be cost-saving for the society?The European journal of health economics : HEPAC : health economics in prevention and care · 2026Article
- Wearable Devices Based on Bioimpedance Test in Heart-Failure: Design Issues.Reviews in cardiovascular medicine · 2024Review
- A telemonitoring programme in patients with heart failure in France: a cost-utility analysis.BMC cardiovascular disorders · 2022Article
- eHealth Applications to Support Independent Living of Older Persons: Scoping Review of Costs and Benefits Identified in Economic Evaluations.Journal of medical Internet research · 2021Article
- Changing to remote management of a community heart failure population during COVID-19 - Clinician and patient perspectives'.International journal of cardiology. Heart & vasculature · 2020Article
- Evaluation of a Heart Failure Telemonitoring Program Through a Microsimulation Model: Cost-Utility Analysis.Journal of medical Internet research · 2020Article
- Telemonitoring Versus Usual Care for Elderly Patients With Heart Failure Discharged From the Hospital in the United States: Cost-Effectiveness Analysis.JMIR mHealth and uHealth · 2020Article
- Article
- Remote Monitoring of Implantable Cardioverter-Defibrillators, Cardiac Resynchronization Therapy and Permanent Pacemakers: A Health Technology Assessment.Ontario health technology assessment series · 2018Review
- Value of Telemonitoring and Telemedicine in Heart Failure Management.Cardiac failure review · 2017Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Telehealth programs for congestive heart failure have been shown to be clinically effective. This study assesses clinical and economic consequences of providing telehealth programs for CHF patients. A Markov model was developed and presented in the context of a home-based telehealth program on CHF. Incremental life expectancy, hospital admissions, and total healthcare costs were examined at periods ranging up to five years. One-way and two-way sensitivity analyses were also conducted on clinical performance parameters. The base case analysis yielded cost savings ranging from $2832 to $5499 and 0.03 to 0.04 life year gain per patient over a 1-year period. Applying telehealth solution to a low-risk cohort with no prior admission history would result in $2502 cost increase per person over the 1-year time frame with 0.01 life year gain. Sensitivity analyses demonstrated that the cost savings were most sensitive to patient risk, baseline cost of hospital admission, and the length-of-stay reduction ratio affected by the telehealth programs. In sum, telehealth programs can be cost saving for intermediate and high risk patients over a 1- to 5-year window. The results suggested the economic viability of telehealth programs for managing CHF patients and illustrated the importance of risk stratification in such programs.
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.