The Swiss Health Care Atlas-relaunch in Scale

Overview

Journal Res Health Serv Reg

Publisher Springer

Specialty Health Services

Date 2024 Aug 23

PMID 39177816

Authors

Reto Jorg

Jonathan Zufferey

Oliver Zumbrunnen

Boris Kaiser

Stefan Essig

Marcel Zwahlen

Tobias Schoch

Marcel Widmer

Affiliations

Soon will be listed here.

Abstract

Inspired by the Dartmouth Atlas of Health Care, an early version of the Swiss Atlas of Health Care (SAHC) was released in 2017. The SAHC provides an intuitive visualization of regional variations of medical care delivery and thus allows for a broad diffusion of the contents. That is why the SAHC became widely accepted amongst health care stakeholders. In 2021, the relaunch of the SAHC was initiated to update as well as significantly expand the scope of measures depicted on the platform, also integrating indicators for outpatient care in order to better reflect the linkages between inpatient and outpatient health care provision. In the course of this relaunch, the statistical and technical aspects of the SAHC have been reviewed and updated. This paper presents the key aspects of the relaunch project and provides helpful insights for similar endeavors elsewhere.

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References

Frei A, Gellad W, Wertli M, Haynes A, Chiolero A, Rodondi N . Trends and regional variation in vertebroplasty and kyphoplasty in Switzerland: a population-based small area analysis. Osteoporos Int. 2021; 32(12):2515-2524. PMC: 8608764. DOI: 10.1007/s00198-021-06026-x. View

Scheuter C, Wertli M, Haynes A, Panczak R, Chiolero A, Perrier A . Unwarranted regional variation in vertebroplasty and kyphoplasty in Switzerland: A population-based small area variation analysis. PLoS One. 2018; 13(12):e0208578. PMC: 6287855. DOI: 10.1371/journal.pone.0208578. View

McPherson K, WENNBERG J, Hovind O, Clifford P . Small-area variations in the use of common surgical procedures: an international comparison of New England, England, and Norway. N Engl J Med. 1982; 307(21):1310-4. DOI: 10.1056/NEJM198211183072104. View

Martuzzi M, Hills M . Estimating the degree of heterogeneity between event rates using likelihood. Am J Epidemiol. 1995; 141(4):369-74. DOI: 10.1093/aje/141.4.369. View

Clayton D, Kaldor J . Empirical Bayes estimates of age-standardized relative risks for use in disease mapping. Biometrics. 1987; 43(3):671-81. View

Wennberg J, Gittelsohn . Small area variations in health care delivery. Science. 1973; 182(4117):1102-8. DOI: 10.1126/science.182.4117.1102. View

Genevieve L, Martani A, Mallet M, Wangmo T, Elger B . Factors influencing harmonized health data collection, sharing and linkage in Denmark and Switzerland: A systematic review. PLoS One. 2019; 14(12):e0226015. PMC: 6907832. DOI: 10.1371/journal.pone.0226015. View

Westert G, Groenewoud S, Wennberg J, Gerard C, DaSilva P, Atsma F . Medical practice variation: public reporting a first necessary step to spark change. Int J Qual Health Care. 2018; 30(9):731-735. PMC: 6307331. DOI: 10.1093/intqhc/mzy092. View

Stoller N, Wertli M, Zaugg T, Haynes A, Chiolero A, Rodondi N . Regional variation of hysterectomy for benign uterine diseases in Switzerland. PLoS One. 2020; 15(5):e0233082. PMC: 7224542. DOI: 10.1371/journal.pone.0233082. View

10.

Wertli M, Schlapbach J, Haynes A, Scheuter C, Jegerlehner S, Panczak R . Regional variation in hip and knee arthroplasty rates in Switzerland: A population-based small area analysis. PLoS One. 2020; 15(9):e0238287. PMC: 7505431. DOI: 10.1371/journal.pone.0238287. View

11.

Coory M, Gibberd R . New measures for reporting the magnitude of small-area variation in rates. Stat Med. 1998; 17(22):2625-34. DOI: 10.1002/(sici)1097-0258(19981130)17:22<2625::aid-sim957>3.0.co;2-4. View

12.

Ulyte A, Wei W, Gruebner O, Bahler C, Brungger B, Blozik E . Are weak or negative clinical recommendations associated with higher geographical variation in utilisation than strong or positive recommendations? Cross-sectional study of 24 healthcare services. BMJ Open. 2021; 11(5):e044090. PMC: 8112440. DOI: 10.1136/bmjopen-2020-044090. View

13.

Klauss G, Staub L, Widmer M, Busato A . Hospital service areas -- a new tool for health care planning in Switzerland. BMC Health Serv Res. 2005; 5:33. PMC: 1131901. DOI: 10.1186/1472-6963-5-33. View

14.

Haynes A, Wertli M, Aujesky D . Automated delineation of hospital service areas as a new tool for health care planning. Health Serv Res. 2020; 55(3):469-475. PMC: 7240760. DOI: 10.1111/1475-6773.13275. View

15.

Diehr P, Cain K, Connell F, Volinn E . What is too much variation? The null hypothesis in small-area analysis. Health Serv Res. 1990; 24(6):741-71. PMC: 1065599. View

16.

Wei W, Ulyte A, Gruebner O, von Wyl V, Dressel H, Brungger B . Degree of regional variation and effects of health insurance-related factors on the utilization of 24 diverse healthcare services - a cross-sectional study. BMC Health Serv Res. 2020; 20(1):1091. PMC: 7694910. DOI: 10.1186/s12913-020-05930-y. View