Association Between Hospital Market Concentration and Costs of Laryngectomy.


Journal

JAMA otolaryngology-- head & neck surgery
ISSN: 2168-619X
Titre abrégé: JAMA Otolaryngol Head Neck Surg
Pays: United States
ID NLM: 101589542

Informations de publication

Date de publication:
01 Oct 2019
Historique:
pubmed: 30 8 2019
medline: 30 8 2019
entrez: 30 8 2019
Statut: ppublish

Résumé

High-volume hospital care for laryngectomy has been shown to be associated with reduced morbidity, mortality, and costs; however, most hospitals in the United States do not perform high volumes of laryngectomies. The influence of market competition on charges and costs for such patients has not been defined. To examine the association between regional hospital market concentration, hospital charges, and costs for laryngectomy. The Nationwide Inpatient Sample was used to identify 34 193 patients who underwent laryngectomy for a malignant laryngeal or hypopharyngeal neoplasm from January 1, 2003, to December 31, 2011. Hospital laryngectomy volume was modeled as a categorical variable. Hospital market concentration was evaluated using a variable-radius Herfindahl-Hirschman Index from the 2003, 2006, and 2009 Hospital Market Structure Files. Statistical analysis was performed from May 19 to August 15, 2018. Multivariable generalized linear regression was used to evaluate associations between market concentration and total charges and costs for laryngectomy. Among the 34 193 patients (19.3% female and 80.7% male; mean age, 62.7 years [range, 20.0-96.0 years]), 69.2% of procedures were performed at hospitals in highly concentrated (noncompetitive) markets and 26.2% were performed at hospitals in unconcentrated (highly competitive) markets. Most high-volume hospitals (68.0%) were located in highly concentrated markets, followed by unconcentrated markets (32.0%). Market share and volume were not associated with significant differences in total charges. Unconcentrated markets were associated with 28% higher costs (95% CI, 8%-53%) relative to moderately concentrated and highly concentrated markets. High-volume hospitals were associated with 22% lower costs (95% CI, -36% to -5%). Competition among hospitals is associated with increased costs of care for laryngectomy. High-volume hospital care is associated with lower costs of care. These data suggest that hospital market consolidation of laryngectomy at centers able to meet minimum volume thresholds may improve health care value.

Identifiants

pubmed: 31465102
pii: 2749183
doi: 10.1001/jamaoto.2019.2303
pmc: PMC6716289
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

939-947

Commentaires et corrections

Type : ErratumIn

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Auteurs

Christine G Gourin (CG)

Department of Otolaryngology-Head and Neck Surgery, Johns Hopkins Medical Institutions, Baltimore, Maryland.
Armstrong Institute for Patient Safety and Quality, Johns Hopkins Medical Institutions, Baltimore, Maryland.

Peter S Vosler (PS)

Department of Otolaryngology-Head and Neck Surgery, Johns Hopkins Medical Institutions, Baltimore, Maryland.

Rajarsi Mandal (R)

Department of Otolaryngology-Head and Neck Surgery, Johns Hopkins Medical Institutions, Baltimore, Maryland.

Karen T Pitman (KT)

Department of Otolaryngology-Head and Neck Surgery, Johns Hopkins Medical Institutions, Baltimore, Maryland.

Carole Fakhry (C)

Department of Otolaryngology-Head and Neck Surgery, Johns Hopkins Medical Institutions, Baltimore, Maryland.

David W Eisele (DW)

Department of Otolaryngology-Head and Neck Surgery, Johns Hopkins Medical Institutions, Baltimore, Maryland.

Kevin D Frick (KD)

Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Johns Hopkins Carey Business School, Baltimore, Maryland.

J Matthew Austin (JM)

Armstrong Institute for Patient Safety and Quality, Johns Hopkins Medical Institutions, Baltimore, Maryland.
Department of Anesthesiology/Critical Care Medicine, Johns Hopkins Medical Institutions, Baltimore, Maryland.

Classifications MeSH