Evidence map›Paper›PMID 39317799›Full record

ArticleResearch in health services & regions2024

Utilization of health-related data in the regional context for health service planning in the Federal State of Brandenburg, Germany-a qualitative study.

Charlotte M Kugler, Daniela Koller, Felix Muehlensiepen, Alexander Pachanov, Anna Kuehne, Dawid Pieper

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Article in Research in health services & regions, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Charlotte M KuglerInstitute for Health Services and Health System Research, Faculty of Health Sciences Brandenburg, Brandenburg Medical School (Theodor Fontane), Rüdersdorf, Germany. Charlotte.kugler@mhb-fontane.de.ORCID http://orcid.org/0000-0003-4170-3290
Daniela KollerInstitute for Medical Information Processing, Biometry, and Epidemiology (IBE), Ludwig-Maximilians-Universität München, Munich, Germany.ORCID http://orcid.org/0000-0002-3203-7188
Felix MuehlensiepenCenter for Health Services Research, Brandenburg Medical School (Theodor Fontane), Rüdersdorf, Germany.ORCID http://orcid.org/0000-0001-8571-7286
Alexander PachanovInstitute for Health Services and Health System Research, Faculty of Health Sciences Brandenburg, Brandenburg Medical School (Theodor Fontane), Rüdersdorf, Germany.ORCID http://orcid.org/0000-0003-2579-3142
Anna KuehneChair of Public Health, Centre for Evidence-Based Healthcare, University Hospital an Medical Faculty, TUD Dresden University of Technology, Fetscherstr. 74, Dresden, 01307, Germany.ORCID http://orcid.org/0000-0002-8578-0362
Dawid PieperInstitute for Health Services and Health System Research, Faculty of Health Sciences Brandenburg, Brandenburg Medical School (Theodor Fontane), Rüdersdorf, Germany.ORCID http://orcid.org/0000-0002-0715-5182

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUtilizing regional health data goes hand in hand with challenges: can they be used for health planning, are they applicable to the relevant topics? The study explores current data utilization and needs of stakeholders working in regional health services planning.

methodsWe conducted 16 semi-structured expert-interviews with stakeholders of regional health planning in Brandenburg, a federal state in the north-east of Germany, by telephone or online-meeting tools between 05/2022 and 03/2023. The data were analysed according to qualitative content analysis.

resultsUtilization of data sources depends on individual knowledge and personnel resources instead of being guided by standardized procedures. Interviewees primarily use internal data; some use many different platforms, studies and reports. Regional health-related data are used for reliable health planning, to prepare resolutions, draft contracts, but also for events and requests from policy makers or the press. Challenges exist in terms of availability, awareness, and acceptance of the data, perceived applicability, the ability to use it and the utilization itself. Many regional health planners indicated they would appreciate a regional integrated cross-organizational data source if the benefits for health planning outweighed the efforts. DISCUSSION: Actors in health planning primarily utilized their own data for planning; additional data sources are not available or the level of aggregation is too high, not known by them or are often not used due to a lack of time. A standardized regional monitoring would require the definition of indicators as well as the strengthening of cross-sectoral planning.

Indexed as

Data sourcesGeographic variationHealth atlasQualitative studyRegional health planningUnwarranted variation

Identifiers

PMID39317799
PMCPMC11422541

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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.