UNLABELLED: Increasing treatment costs of HF patients affect the initiation of appropriate treatment method. Divergent approaches to measure the costs of treatment and the lack of common cost indicators impede the comparison of therapy settings. OBJECTIVES: In the context of the present meta-analysis, key cost indicators from the perspective of healthcare providers are to be identified, described, analyzed and quantified. This review helps narrowing down the cost indicators, which have the most significant economic impact on the total treatment costs of HF patients. Telemedical services are to be compared to standard therapy methods. METHODS: The identification process was based on several steps. For the quantitative synthesis, we used the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. An additional set of criteria was defined for the following qualitative analysis. RESULTS: 5 key cost indicators were identified with significant economic impact on the treatment costs of HF patients. CONCLUSION: 95% of the reported treatment costs could be captured based on the identified cost indicators.

Digital Health Information Systems AIT Austrian Institute of Technology GmbH Graz Austria

Faculty of Business and Economics Mendel University Brno Czech Republic