Should Measures of Health Care Availability Be Based on the Providers or the Procedures? A Case Study with Implications for Rural Colorectal Cancer Disparities.


Journal

The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association
ISSN: 1748-0361
Titre abrégé: J Rural Health
Pays: England
ID NLM: 8508122

Informations de publication

Date de publication:
03 2019
Historique:
pubmed: 16 11 2018
medline: 21 4 2020
entrez: 16 11 2018
Statut: ppublish

Résumé

Patients with colorectal cancer (CRC) living in rural areas have lower survival rates than those in urban areas, potentially because of lack of access to quality CRC screening and treatment. The purpose of this study was to compare traditional physician density (ie, colonoscopy provider availability per capita) against a new physician density measure using an example case of colonoscopy volume and quality. The latter is particularly relevant for rural providers, who may have fewer patients and are more frequently nongastroenterologists. We conducted a secondary data analysis of the 2014 Medicare Provider Utilization and Payment Database and the National Cancer Institute State Cancer Profile Database. Volume-weighted physician density scores at the state and county levels were created, accounting for (1) the physician's annual colonoscopy volume and (2) whether the physician performs ≥100 procedures per year. We compared volume-weighted versus traditional density, overall and by rurality, and examined their correlation with CRC screening, incidence, and mortality rates. The difference between volume-weighted and traditional density scores was particularly large in rural parts of the West and Midwest, and it was most similar in the Northeast. Although weak, correlations with CRC outcomes were stronger for volume-weighted density, and they did not differ by rurality. Our new method is an improvement over traditional methods because it considers the variation of physician procedure volume, and it has a stronger correlation with population health outcomes. Weighted density scores portray a more realistic picture of physician supply, particularly in rural areas.

Identifiants

pubmed: 30430641
doi: 10.1111/jrh.12332
pmc: PMC6436979
mid: NIHMS993427
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

236-243

Subventions

Organisme : NIGMS NIH HHS
ID : T32 GM081740
Pays : United States

Informations de copyright

© 2018 National Rural Health Association.

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Auteurs

Michele J Josey (MJ)

Department of Epidemiology and Biostatistics, University of South Carolina Arnold School of Public Health, Columbia, South Carolina.
Statewide Cancer Prevention and Control Program, University of South Carolina Arnold School of Public Health, Columbia, South Carolina.

Jan M Eberth (JM)

Department of Epidemiology and Biostatistics, University of South Carolina Arnold School of Public Health, Columbia, South Carolina.
Statewide Cancer Prevention and Control Program, University of South Carolina Arnold School of Public Health, Columbia, South Carolina.
Rural and Minority Health Research Center, University of South Carolina Arnold School of Public Health, Columbia, South Carolina.

Lee R Mobley (LR)

School of Public Health and Andrew Young School of Policy Studies, Georgia State University, Atlanta, Georgia.

Mario Schootman (M)

Department of Epidemiology, , College for Public Health and Social Justice, St. Louis University, St. Louis, Missouri.

Janice C Probst (JC)

Rural and Minority Health Research Center, University of South Carolina Arnold School of Public Health, Columbia, South Carolina.
Department of Health Services Policy and Management, University of South Carolina Arnold School of Public Health, Columbia, South Carolina.

Scott M Strayer (SM)

Department of Family and Preventive Medicine, University of South Carolina School of Medicine, Columbia, South Carolina.

Erica Sercy (E)

Department of Epidemiology and Biostatistics, University of South Carolina Arnold School of Public Health, Columbia, South Carolina.
Statewide Cancer Prevention and Control Program, University of South Carolina Arnold School of Public Health, Columbia, South Carolina.

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