Economic burden of stroke: a systematic review on post-stroke care.


Journal

The European journal of health economics : HEPAC : health economics in prevention and care
ISSN: 1618-7601
Titre abrégé: Eur J Health Econ
Pays: Germany
ID NLM: 101134867

Informations de publication

Date de publication:
Feb 2019
Historique:
received: 22 09 2017
accepted: 03 05 2018
pubmed: 18 6 2018
medline: 19 6 2019
entrez: 18 6 2018
Statut: ppublish

Résumé

Stroke is a leading cause for disability and morbidity associated with increased economic burden due to treatment and post-stroke care (PSC). The aim of our study is to provide information on resource consumption for PSC, to identify relevant cost drivers, and to discuss potential information gaps. A systematic literature review on economic studies reporting PSC-associated data was performed in PubMed/MEDLINE, Scopus/Elsevier and Cochrane databases, Google Scholar and gray literature ranging from January 2000 to August 2016. Results for post-stroke interventions (treatment and care) were systematically extracted and summarized in evidence tables reporting study characteristics and economic outcomes. Economic results were converted to 2015 US Dollars, and the total cost of PSC per patient month (PM) was calculated. We included 42 studies. Overall PSC costs (inpatient/outpatient) were highest in the USA ($4850/PM) and lowest in Australia ($752/PM). Studies assessing only outpatient care reported the highest cost in the United Kingdom ($883/PM), and the lowest in Malaysia ($192/PM). Fifteen different segments of specific services utilization were described, in which rehabilitation and nursing care were identified as the major contributors. The highest PSC costs were observed in the USA, with rehabilitation services being the main cost driver. Due to diversity in reporting, it was not possible to conduct a detailed cost analysis addressing different segments of services. Further approaches should benefit from the advantages of administrative and claims data, focusing on inpatient/outpatient PSC cost and its predictors, assuring appropriate resource allocation.

Identifiants

pubmed: 29909569
doi: 10.1007/s10198-018-0984-0
pii: 10.1007/s10198-018-0984-0
doi:

Types de publication

Journal Article Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

107-134

Subventions

Organisme : Education, Audiovisual and Culture Executive Agency
ID : Erasmus-Western Balkans mobility programme (ERAWEB)

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Auteurs

S Rajsic (S)

Department of Public Health, Health Services Research and Health Technology Assessment, Institute of Public Health, Medical Decision Making and Health Technology Assessment, UMIT-University for Health Sciences, Medical Informatics and Technology, Eduard-Wallnoefer-Zentrum 1, 6060, Hall in Tirol, Austria.

H Gothe (H)

Department of Public Health, Health Services Research and Health Technology Assessment, Institute of Public Health, Medical Decision Making and Health Technology Assessment, UMIT-University for Health Sciences, Medical Informatics and Technology, Eduard-Wallnoefer-Zentrum 1, 6060, Hall in Tirol, Austria.
Department of Health Sciences/Public Health, Dresden Medical School "Carl Gustav Carus", Technical University Dresden, Dresden, Germany.

H H Borba (HH)

Department of Public Health, Health Services Research and Health Technology Assessment, Institute of Public Health, Medical Decision Making and Health Technology Assessment, UMIT-University for Health Sciences, Medical Informatics and Technology, Eduard-Wallnoefer-Zentrum 1, 6060, Hall in Tirol, Austria.
Department of Pharmacy, Pharmaceutical Sciences Postgraduate Research Program, Federal University of Paraná, Curitiba, Brazil.

G Sroczynski (G)

Department of Public Health, Health Services Research and Health Technology Assessment, Institute of Public Health, Medical Decision Making and Health Technology Assessment, UMIT-University for Health Sciences, Medical Informatics and Technology, Eduard-Wallnoefer-Zentrum 1, 6060, Hall in Tirol, Austria.

J Vujicic (J)

Faculty of Philosophy, University of Belgrade, Belgrade, Serbia.

T Toell (T)

Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria.

Uwe Siebert (U)

Department of Public Health, Health Services Research and Health Technology Assessment, Institute of Public Health, Medical Decision Making and Health Technology Assessment, UMIT-University for Health Sciences, Medical Informatics and Technology, Eduard-Wallnoefer-Zentrum 1, 6060, Hall in Tirol, Austria. public-health@umit.at.
Department of Health Policy and Management, Center for Health Decision Science, Harvard Chan School of Public Health, Boston, MA, USA. public-health@umit.at.
Department of Radiology, Institute for Technology Assessment, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA. public-health@umit.at.

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