ArticleHealth services research2020
Automated delineation of hospital service areas as a new tool for health care planning.
Article in Health services research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
13 citing papers in PubMed, 18 citations in OpenAlex.
- Modeling hospital catchment areas in pediatric oncology using an empirically parameterized extended Huff-model.International journal of health geographics · 2026Article
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- Mental health service areas in Switzerland.International journal of methods in psychiatric research · 2023Article
- The Swiss health care atlas-relaunch in scale.Research in health services & regions · 2023Article
- Delineating natural catchment health districts with routinely collected health data from women's travel to give birth in Ghana.BMC health services research · 2022Article
- Variation in regional implantation patterns of cardiac implantable electronic device in Switzerland.PloS one · 2022Article
- GIS-Automated Delineation of Hospital Service Areas in Florida: From Dartmouth Method to Network Community Detection Methods.Annals of GIS · 2022Article
- Trends and regional variation in vertebroplasty and kyphoplasty in Switzerland: a population-based small area analysis.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2021Article
- High regional variation in prostate surgery for benign prostatic hyperplasia in Switzerland.PloS one · 2021Article
- Article
- Regional variation in hip and knee arthroplasty rates in Switzerland: A population-based small area analysis.PloS one · 2020Article
- Understanding Factors Influencing Geographic Variation in Healthcare Expenditures: A Small Areas Analysis Study.Inquiry : a journal of medical care organization, provision and financingArticle
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo develop an automated, reproducible method for delineating hospital service areas (HSAs). DATA SOURCES/
settingDischarge data from all Swiss acute care hospitals for the years 2013 to 2016. STUDY
designWe derived HSAs and hospital referral regions for Switzerland using a newly developed flow-based, automated, objective, and reproducible method using all discharge data. We compared our method to the classical, partially subjective approach used to delineate the Swiss Health Care Atlas by delineating four sets of intervention-specific HSAs. PRINCIPAL
findingsBased on 4 105 885 discharges, the fully automated method delineated 63 HSAs. Comparison with existing HSAs reveals good overlap and comparable measures of health utilization between the methods and shows that in the Swiss setting, our method outperforms a cluster-based approach to defining HSAs. While the classical method potentially takes an entire day to delineate the regions, our method took approximately 10 minutes.
conclusionsHospital service areas are used to analyze differences in use of health care that may indicate underuse and overuse. Our new, fully automated, objective, and reproducible method provides a useful tool for hospital services researchers that will enable them to delineate and update patient-flow-based HSAs.
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Registered trials
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.