ArticleHealth services research2018
Automated Delineation of Hospital Service Areas and Hospital Referral Regions by Modularity Optimization.
Article in Health services research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
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- Mental health service areas in Switzerland.International journal of methods in psychiatric research · 2023Article
- Can diverse population characteristics be leveraged in a machine learning pipeline to predict resource intensive healthcare utilization among hospital service areas?BMC health services research · 2022Article
- Delineation of Cancer Service Areas Anchored by Major Cancer Centers in the United States.Cancer research communications · 2022Article
- Research on Maternal Service Area and Referral System in Hubei Province, China.International journal of environmental research and public health · 2022Article
- The Association of Shared Care Networks With 30-Day Heart Failure Excessive Hospital Readmissions: Longitudinal Observational Study.JMIRx med · 2022Article
- Functional representation of the network organisation of dialysis activities in France: A novel level for assessing quality of care.PloS one · 2022Article
- GIS-Automated Delineation of Hospital Service Areas in Florida: From Dartmouth Method to Network Community Detection Methods.Annals of GIS · 2022Article
- Spatial Behavior of Cancer Care Utilization in Distance Decay in the Northeast Region of the U.S.Travel behaviour & society · 2021Article
- The effects of market concentration on health care price and quality in hospital markets in Ibadan, Nigeria.Journal of market access & health policy · 2021Article
- Network Optimization Approach to Delineating Health Care Service Areas: Spatially Constrained Louvain and Leiden Algorithms.Transactions in GIS : TG · 2021Article
- A Guide for Choosing Community Detection Algorithms in Social Network Studies: The Question Alignment Approach.American journal of preventive medicine · 2020Article
- Automated delineation of cancer service areas in northeast region of the United States: A network optimization approach.Spatial and spatio-temporal epidemiology · 2020Article
- Automated delineation of hospital service areas as a new tool for health care planning.Health services research · 2020Article
- Why Public Health Needs GIS: A Methodological Overview.Annals of GIS · 2020Article
- Comparing methods of grouping hospitals.Health services research · 2019Article
- Using Weighted Hospital Service Area Networks to Explore Variation in Preventable Hospitalization.Health services research · 2018Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo develop an automated, data-driven, and scale-flexible method to delineate hospital service areas (HSAs) and hospital referral regions (HRRs) that are up-to-date, representative of all patients, and have the optimal localization of hospital visits. DATA SOURCES: The 2011 state inpatient database in Florida from the Healthcare Cost and Utilization Project. STUDY
designA network optimization method was used to redefine HSAs and HRRs by maximizing patient-to-hospital flows within each HSA/HRR while minimizing flows between them. We first constructed as many HSAs/HRRs as existing Dartmouth units in Florida, and then compared the two by various metrics. Next, we sought to derive the optimal numbers and configurations of HSAs/HRRs that best reflect the modularity of hospitalization patterns in Florida. PRINCIPAL
findingsThe HSAs/HRRs by our method are favored over the Dartmouth units in balance of region size and market structure, shape, and most important, local hospitalization.
conclusionsThe new method is automated, scale-flexible, and effective in capturing the natural structure of the health care system. It has great potential for applications in delineating other health care service areas or in larger geographic regions.
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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.