Utilization of health-related data in the regional context for health service planning in the Federal State of Brandenburg, Germany-a qualitative study.
Data sources
Geographic variation
Health atlas
Qualitative study
Regional health planning
Unwarranted variation
Journal
Research in health services & regions
ISSN: 2730-9827
Titre abrégé: Res Health Serv Reg
Pays: Germany
ID NLM: 9918803680706676
Informations de publication
Date de publication:
25 Sep 2024
25 Sep 2024
Historique:
received:
25
04
2024
accepted:
02
09
2024
medline:
25
9
2024
pubmed:
25
9
2024
entrez:
24
9
2024
Statut:
epublish
Résumé
Utilizing 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. We 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. Utilization 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. 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.
Sections du résumé
BACKGROUND
BACKGROUND
Utilizing 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.
METHODS
METHODS
We 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.
RESULTS
RESULTS
Utilization 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
CONCLUSIONS
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.
Identifiants
pubmed: 39317799
doi: 10.1007/s43999-024-00050-0
pii: 10.1007/s43999-024-00050-0
doi:
Types de publication
Journal Article
Langues
eng
Pagination
14Informations de copyright
© 2024. The Author(s).
Références
Scharlach H, Scharlach M (2017) Gesundheitsatlanten. In: Augustin J, Koller D (eds) Geographie der Gesundheit. Hogrefe Verlag, Bern, p 146–163
Koller D, Wohlrab D, Sedlmeir G, Augustin J (2020) Geographic methods for health monitoring. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz 63(9):1108–1117. https://doi.org/10.1007/s00103-020-03208-6
doi: 10.1007/s00103-020-03208-6
pubmed: 32857174
pmcid: 7453702
Johns Hopkins University, Center for Systems Science and Engineering COVID-19 Dashboard. Johns Hopkins University & Medicine. https://coronavirus.jhu.edu/map.html . Accessed 20 Jan 2022
Glover JA (1938) The incidence of tonsillectomy in school children: (section of epidemiology and state medicine). Proc R Soc Med 31(10):1219–1236. https://doi.org/10.1177/003591573803101027
doi: 10.1177/003591573803101027
pubmed: 19991659
pmcid: 2076749
Wennberg JE (2014) Forty years of unwarranted variation–and still counting. Health Policy 114(1):1–2. https://doi.org/10.1016/j.healthpol.2013.11.010
doi: 10.1016/j.healthpol.2013.11.010
pubmed: 24373550
Kistemann T, Schweikart J (2017) Spatial turn. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz 60(12):1413–1421. https://doi.org/10.1007/s00103-017-2647-1
doi: 10.1007/s00103-017-2647-1
pubmed: 29079889
Sutherland K, Levesque JF (2020) Unwarranted clinical variation in health care: definitions and proposal of an analytic framework. J Eval Clin Pract 26(3):687–696. https://doi.org/10.1111/jep.13181
doi: 10.1111/jep.13181
pubmed: 31136047
Augustin J, Scherer M, Augustin M, Schweikart J (2018) Health atlases in Germany - an overview. Gesundheitswesen 80(7):628–634. https://doi.org/10.1055/a-0631-1168
doi: 10.1055/a-0631-1168
pubmed: 30045387
Dartmouth Atlas Project. The trustees of Dartmouth College. https://www.dartmouthatlas.org/ . Accessed 23 Apr 2024
Bronner KK, Goodman DC (2022) The Dartmouth Atlas of Health Care – bringing health care analyses to health systems, policymakers, and the public. Res Health Serv Regio 1(1):6. https://doi.org/10.1007/s43999-022-00006-2
doi: 10.1007/s43999-022-00006-2
Zentralinstitut für die kassenärztliche Versorgung in der Bundesrepublik Deutschland (Zi) Versorgungsatlas. https://www.versorgungsatlas.de/ . Accessed 16 Apr 2024
Madelin M, Grasland C, Mathian H, Sanders L, Vincent J-M (2009) Das „MAUP “: Modifiable Areal Unit-Problem oder Fortschritt? Informationen zur Raumentwicklung 10(11):645–660
Amt für Statistik Berlin-Brandenburg Raumbezuege. Von Block bis Hauptstadtregion. Amt für Statistik Berlin-Brandenburg. https://www.statistik-berlin-brandenburg.de/raumbezuege . Accessed 23 Apr 2024
Bundesamt für Bauwesen und Raumordnung (2017) Raumabgrenzungen: Stadt- und Gemeindetyp. Bundesamt für Bauwesen und Raumordnung. https://www.bbsr.bund.de/BBSR/DE/forschung/raumbeobachtung/Raumabgrenzungen/raumabgrenzungen-uebersicht.html . Accessed 23 Apr 2024
Landesamt für Arbeitsschutz Verbraucherschutz und Gesundheit Gesundheitsplattform der Landesregierung Brandenburg. Landesamt für Arbeitsschutz, Verbraucherschutz und Gesundheit. https://gesundheitsplattform.brandenburg.de/#/. Accessed 23 Apr 2024
Bayerisches Landesamt für Gesundheit und Lebensmittelsicherheit Gesundheitsatlas Bayern. Bayerisches Landesamt für Gesundheit und Lebensmittelsicherheit. https://www.lgl.bayern.de/gesundheit/gesundheitsberichterstattung/gesundheitsatlas/ia_report/atlas.html . Accessed 18 Jan 2022
DaSilva P, Gray JA (2016) English lessons: can publishing an atlas of variation stimulate the discussion on appropriateness of care? Med J Aust 205(10):S5-s7. https://doi.org/10.5694/mja15.00896
doi: 10.5694/mja15.00896
pubmed: 27852194
Schang L, Morton A, DaSilva P, Bevan G (2014) From data to decisions? Exploring how healthcare payers respond to the NHS Atlas of Variation in Healthcare in England. Health Policy 114(1):79–87. https://doi.org/10.1016/j.healthpol.2013.04.014
doi: 10.1016/j.healthpol.2013.04.014
pubmed: 23702086
O’Brien BC, Harris IB, Beckman TJ, Reed DA, Cook DA (2014) Standards for reporting qualitative research: a synthesis of recommendations. Acad Med 89(9):1245–1251. https://doi.org/10.1097/acm.0000000000000388
doi: 10.1097/acm.0000000000000388
pubmed: 24979285
Mayring P (2015) Qualitative Inhaltsanalyse: Grundlagen und Techniken (12. Aufl.) ed. Beltz, Weinheim
Blümel M, Spranger A, Achstetter K, Maresso A, Busse R (2021) Germany: health system review 2020. Health Syst Transi 22(6). Available at: https://iris.who.int/bitstream/handle/10665/341674/HiT-22-6-2020-eng.pdf?sequence=1 . Accessed 09 Sept 2024
Fülöp G, Burgmann S, Maier G, Mathis-Edenhofer S (2022) The Austrian Health Information System “ÖGIS” – supporting implementation of the Public Health Action Cycle in Austria. Research in Health Services & Regions 1(1):12. https://doi.org/10.1007/s43999-022-00012-4
doi: 10.1007/s43999-022-00012-4
Gesundheit Österreich GmbH Österreichisches Gesundheitsinformationssystem – Auswertungen. https://goeg.at/OEGIS . Accessed 19 Mar 2024
Starke D, Tempel G, Butler J, Starker A, Zühlke C, Borrmann B (2020) Gute Praxis Gesundheitsberichterstattung – von der Idee bis zur Version 2.0. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz 63(9):1094–1098. https://doi.org/10.1007/s00103-020-03200-0
doi: 10.1007/s00103-020-03200-0
pubmed: 32813074
Trojan A (2020) Integrierte Gesundheitsberichterstattung auf Landes- und kommunaler Ebene: Initiativen und Ansätze der letzten 20 Jahre. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz 63(9):1084–1093. https://doi.org/10.1007/s00103-020-03196-7
doi: 10.1007/s00103-020-03196-7
pubmed: 32757020
Jörg R, Zufferey J, Zumbrunnen O, Kaiser B, Essig S, Zwahlen M et al (2023) The Swiss health care atlas—relaunch in scale. Research in Health Services & Regions 2(1):3. https://doi.org/10.1007/s43999-022-00016-0
doi: 10.1007/s43999-022-00016-0
Vola F, Benedetto V, Vainieri M, Nuti S (2022) The Italian interregional performance evaluation system. Research in Health Services & Regions 1(1):10. https://doi.org/10.1007/s43999-022-00010-6
doi: 10.1007/s43999-022-00010-6
Finnish Institute for Health and Welfare Sotekuva. https://sotekuva.fi/en/ . Accessed 12 Aug 2024
Arbeitsgemeinschaft der Obersten Landesgesundheitsbehörden (AOLG) (2003) Indikatorensatz für die Gesundheitsberichterstattung. https://www.gbe-bund.de/pdf/indikatorensatz_der_laender_2003.pdf . Accessed 12 Aug 2024
Amt für Gesundheit und Prävention Gesundheitsindex. Ein Projekt zur Erfassung und Verbesserung des Gesundheitsstatus. Landeshauptstadt Dresden. https://www.dresden.de/de/leben/gesundheit/gesundheitsfoerderung/gesundheitsindex.php?pk_campaign=Shortcut&pk_kwd=gesundheitsindex . Accessed 19 Mar 2024
Diegoli H, Makdisse M, Magalhães P, Gray M (2023) The atlas of variation in healthcare Brazil: remarkable findings from a middle-income country. Research in Health Services & Regions 2(1):2. https://doi.org/10.1007/s43999-022-00017-z
doi: 10.1007/s43999-022-00017-z
Bundesamt für Gesundheit BAG (2024) DigiSanté: Förderung der digitalen Transformation im Gesundheitswesen. BAG. https://www.bag.admin.ch/bag/de/home/strategie-und-politik/nationale-gesundheitsstrategien/digisante.html . Accessed 12 Aug 2024
Ludwig M, Schneider K, Heß S, Broich K (2024) Aufbau des neuen „Forschungsdatenzentrums Gesundheit“ zur Datenbereitstellung für die Wissenschaft. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz 67(2):131–138. https://doi.org/10.1007/s00103-023-03831-z
doi: 10.1007/s00103-023-03831-z
pubmed: 38214724
pmcid: 10834602
Intemann T, Kaulke K, Kipker DK, Lettieri V, Stallmann C, Schmidt CO et al (2023) White Paper - Verbesserung des Record Linkage für die Gesundheitsforschung in Deutschland. nfdi4health. https://doi.org/10.4126/FRL01-006461895 . Accessed 27 Feb 2024
Sundmacher L, Schang L, Schüttig W, Flemming R, Frank-Tewaag J, Geiger I et al (2018) Gutachten zur Weiterentwicklung der Bedarfsplanung i.S.d. §§ 99 ff. SGB V zur Sicherung der vertragsärztlichen Versorgung. Federal Joint Committee. https://www.g-ba.de/downloads/39-261-3493/2018-09-20_Endbericht-Gutachten-Weiterentwickklung-Bedarfsplanung.pdf . Accessed 21 Dec 2023
Angulo-Pueyo E, Comendeiro-Maaløe M, Estupiñán-Romero F, Martínez-Lizaga N, Ridao-López M, González-Galindo J et al (2022) Atlas VPM: two decades informing on unwarranted variations in health care in Spain. Research in Health Services & Regions 1(1):5. https://doi.org/10.1007/s43999-022-00005-3
doi: 10.1007/s43999-022-00005-3
Levesque J-F, Sutherland K (2022) From data to practice change – exploring new territory for atlases of clinical variation. Research in Health Services & Regions 1(1):13. https://doi.org/10.1007/s43999-022-00013-3
doi: 10.1007/s43999-022-00013-3
Albrich C, Brandeis B, Erb J, Hellmann V, Wallus L, Firsching M et al (2017) Handlungsempfehlungen für den Aufbau einer Gesundheitsplanung im Öffentlichen Gesundheitsdienst. Ergebnisse eines Pilotvorhabens in Baden-Württemberg. Landesgesundheitsamt Baden-Württemberg, Stuttgart