The identification of economically relevant health and social care services for mental disorders in the PECUNIA project

on behalf of the PECUNIA Group, Paul Hinck, Mencia Gutierrez-Colosía, Marie Christine Duval, Hans Helmut König, Judit Simon, Claudia Fischer, Susanne Mayer, Luis Salvador-Carulla, Valentin Brodszky, Leona Hakkaart van Roijen, Silvia M.A.A. Evers, A. La Park, William Hollingworth, Michael Berger, Agata Łaszewska, Nataša Peri´c, Christian Brettschneider, Marie Christine Duval, Johanna Katharina HohlsLouisa Kristin Muntendorf, László Gulácsi, Silvia M.A.A. Evers, Ruben M.W.A. Drost, Luca M.M. Janssen, Aggie T.G. Paulus, Irina Pokhilenko, Kimberley Hubens, Ayesha Sajjad, Pedro Serrano-Aguilar, Nerea Almeda, Pilar Campoy-Muñoz, Carlos R. García-Alonso, Mencía R. Gutiérrez-Colosía, Cristina Romero-López-Alberca, Lidia García-Pérez, Renata Linertová, Lilisbeth Perestelo-Pérez, Cristina Valcárcel-Nazco, Sian Noble, Joanna Thorn, Alexander Konnopka*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

1 Citation (Scopus)
2 Downloads (Pure)

Abstract

Background: Health economic research is still facing significant problems regarding the standardization and international comparability of health care services. As a result, comparative effectiveness studies and cost-effectiveness analyses are often not comparable. This study is part of the PECUNIA project, which aimed to improve the comparability of economic evaluations by developing instruments for the internationally standardized measurement and valuation of health care services for mental disorders. The aim of this study was to identify internationally relevant services in the health and social care sectors relevant for health economic studies for mental disorders. Methods: A systematic literature review on cost-of-illness studies and economic evaluations was conducted to identify relevant services, complemented by an additional grey literature search and a search of resource use measurement (RUM) questionnaires. A preliminary long-list of identified services was explored and reduced to a short-list by multiple consolidation rounds within the international research team and an external international expert survey in six European countries. Results: After duplicate removal, the systematic search yielded 15,218 hits. From these 295 potential services could be identified. The grey literature search led to 368 and the RUM search to 36 additional potential services. The consolidation process resulted in a preliminary list of 186 health and social care services which underwent an external expert survey. A final consolidation step led to a basic list of 56 services grouped into residential care, daycare, outpatient care, information for care, accessibility to care, and self-help and voluntary care. Conclusions: The initial literature searches led to an extensive number of potential service items for health and social care. Many of these items turned out to be procedures, interventions or providing professionals rather than services and were removed from further analysis. The resulting list was used as a basis for typological coding, the development of RUM questionnaires and corresponding unit costs for international mental health economic studies in the PECUNIA project.

Original languageEnglish
Article number1045
JournalBmc Health Services Research
Volume23
Issue number1
DOIs
Publication statusPublished - 29 Sept 2023

Bibliographical note

Funding Information:
Open Access funding enabled and organized by Projekt DEAL. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 779292. The funding body had no influence on the design of the study and collection, analysis, and interpretation of data or the writing the manuscript.

Publisher Copyright:
© 2023, BioMed Central Ltd., part of Springer Nature.

Fingerprint

Dive into the research topics of 'The identification of economically relevant health and social care services for mental disorders in the PECUNIA project'. Together they form a unique fingerprint.

Cite this