Budget impact analysis of a Lifestyle-integrated Functional Exercise (LiFE) program for older people in Germany : a Markov model based on data from the LiFE-is-LiFE trial
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Background
Fall prevention is important for healthy ageing, but the economic impact of fall prevention are scarcely investigated. A recent cost-effectiveness analysis compared a group-delivered Lifestyle-integrated Functional Exercise Program (gLiFE) with an individually-delivered program (LiFE) in community-dwelling people (aged ≥ 70 years) at risk of falling. In addition, the current study aimed to analyze the budget impact of LiFE and gLiFE, compared with standard care in Germany.
Methods
A Markov model was developed to reflect falls and associated care needs for community-dwelling persons over 5 years. The intervention effects of LiFE and gLiFE were shown to be equivalent in a non-inferiority trial, although the costs differed. Outpatient, inpatient, and intervention costs were assessed from a payer’s perspective. The effect of parameter uncertainty was assessed in sensitivity analyses.
Results
The budget impact due to intervention costs was €510 million for LiFE and €186 million for gLiFE. Over five years, health care expenditures were €35,008 million for those receiving standard care, €35,416 million for those receiving LiFE, and €35,091 million for persons receiving gLiFE. Thereby, LiFE and gLiFE could prevent 2700 deaths and 648,000 falls over 5 years. Parameter uncertainties in the risk of falling, uptake of an intervention offer, and in the intervention effects had a major influence; thus cost savings for LiFE and gLiFE compared with standard care could be achieved for individuals with a high risk of falling.
Conclusions
The results revealed that cost savings for LiFE and gLiFE compared with standard care could only be achieved for individuals at high risk of falling, with gLiFE being superior to LiFE. Future research should consider benefits and aspects of fall prevention beyond falls (e.g., physical activity, social aspects, and personal preferences of participants).
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DAMS, Judith, Sophie GOTTSCHALK, Michael SCHWENK, Corinna NERZ, Clemens BECKER, Jochen KLENK, Carl-Philipp JANSEN, Hans-Helmut KÖNIG, 2024. Budget impact analysis of a Lifestyle-integrated Functional Exercise (LiFE) program for older people in Germany : a Markov model based on data from the LiFE-is-LiFE trial. In: BMC Geriatrics. Springer. 2024, 24, 186. eISSN 1471-2318. Available under: doi: 10.1186/s12877-024-04802-yBibTex
@article{Dams2024-02-23Budge-69479,
year={2024},
doi={10.1186/s12877-024-04802-y},
title={Budget impact analysis of a Lifestyle-integrated Functional Exercise (LiFE) program for older people in Germany : a Markov model based on data from the LiFE-is-LiFE trial},
volume={24},
journal={BMC Geriatrics},
author={Dams, Judith and Gottschalk, Sophie and Schwenk, Michael and Nerz, Corinna and Becker, Clemens and Klenk, Jochen and Jansen, Carl-Philipp and König, Hans-Helmut},
note={Article Number: 186}
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<dcterms:abstract>Background
Fall prevention is important for healthy ageing, but the economic impact of fall prevention are scarcely investigated. A recent cost-effectiveness analysis compared a group-delivered Lifestyle-integrated Functional Exercise Program (gLiFE) with an individually-delivered program (LiFE) in community-dwelling people (aged ≥ 70 years) at risk of falling. In addition, the current study aimed to analyze the budget impact of LiFE and gLiFE, compared with standard care in Germany.
Methods
A Markov model was developed to reflect falls and associated care needs for community-dwelling persons over 5 years. The intervention effects of LiFE and gLiFE were shown to be equivalent in a non-inferiority trial, although the costs differed. Outpatient, inpatient, and intervention costs were assessed from a payer’s perspective. The effect of parameter uncertainty was assessed in sensitivity analyses.
Results
The budget impact due to intervention costs was €510 million for LiFE and €186 million for gLiFE. Over five years, health care expenditures were €35,008 million for those receiving standard care, €35,416 million for those receiving LiFE, and €35,091 million for persons receiving gLiFE. Thereby, LiFE and gLiFE could prevent 2700 deaths and 648,000 falls over 5 years. Parameter uncertainties in the risk of falling, uptake of an intervention offer, and in the intervention effects had a major influence; thus cost savings for LiFE and gLiFE compared with standard care could be achieved for individuals with a high risk of falling.
Conclusions
The results revealed that cost savings for LiFE and gLiFE compared with standard care could only be achieved for individuals at high risk of falling, with gLiFE being superior to LiFE. Future research should consider benefits and aspects of fall prevention beyond falls (e.g., physical activity, social aspects, and personal preferences of participants).</dcterms:abstract>
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