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What underlies the observed hospital volume-outcome relationship?
- Source :
- BMC Health Services Research, Vol 22, Iss 1, Pp 1-12 (2022), BMC Health Services Research, BMC Health Services Research, 2022, 22 (70), ⟨10.1186/s12913-021-07449-2⟩, BMC Health Services Research, BioMed Central, In press, ISPOR 20th Annual European Congress, ISPOR 20th Annual European Congress, Nov 2017, Glasgow, United Kingdom. ⟨10.1016/j.jval.2017.08.620⟩, BMC Health Services Research, BioMed Central, 2022
- Publication Year :
- 2022
- Publisher :
- BMC, 2022.
-
Abstract
- Background Studies of the hospital volume-outcome relationship have highlighted that a greater volume activity improves patient outcomes. While this finding has been known for years, most studies to date have failed to delve into what underlies this relationship. Objective This study aimed to shed light on the basis of the hospital volume effect on patient outcomes by comparing treatment modalities for epithelial ovarian carcinoma patients. Data An exhaustive dataset of 355 patients in first-line treatment for Epithelial Ovarian Carcinoma (EOC) in 2012 in three regions of France was used. These regions account for 15% of the metropolitan French population. Methods In the presence of endogeneity induced by a reverse causality between hospital volume and patient outcomes, we used an instrumental variable approach. Hospital volume of activity was instrumented by the distance from patients’ homes to their hospital, the population density, and the median net income of patient municipalities. Results Based on our parameter estimates, we found that the rate of complete tumor resection would increase by 15.5 percentage points with centralized care, and by 8.3 percentage points if treatment decisions were coordinated by high-volume centers compared to decentralized care. Conclusion As volume alone is an imperfect correlate of quality, policy-makers need to know what volume is a proxy for in order to devise volume-based policies.
- Subjects :
- medicine.medical_specialty
Tumor resection
Volume-outcome causal effect
Carcinoma, Ovarian Epithelial
Outcome (game theory)
Proxy (climate)
JEL: I - Health, Education, and Welfare/I.I1 - Health/I.I1.I18 - Government Policy • Regulation • Public Health
Hospital volume
Net income
medicine
Humans
C36
C31
ComputingMilieux_MISCELLANEOUS
Ovarian Neoplasms
Care pathway
Learning effect
I18
I11
business.industry
Research
Health Policy
L11
Public Health, Environmental and Occupational Health
Health services research
Epithelial ovarian cancer
[SHS.ECO]Humanities and Social Sciences/Economics and Finance
Hospitals
JEL: L - Industrial Organization/L.L1 - Market Structure, Firm Strategy, and Market Performance/L.L1.L11 - Production, Pricing, and Market Structure • Size Distribution of Firms
Instrumental variable
Organization of care
JEL: C - Mathematical and Quantitative Methods/C.C3 - Multiple or Simultaneous Equation Models • Multiple Variables/C.C3.C31 - Cross-Sectional Models • Spatial Models • Treatment Effect Models • Quantile Regressions • Social Interaction Models
JEL: I - Health, Education, and Welfare/I.I1 - Health/I.I1.I11 - Analysis of Health Care Markets
Epithelial ovarian carcinoma
Treatment modality
Emergency medicine
Income
Volume outcome relationship
Centralization of care
Treatment decision making
France
Public aspects of medicine
RA1-1270
business
Volume (compression)
Subjects
Details
- Language :
- English
- ISSN :
- 14726963
- Volume :
- 22
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- BMC Health Services Research
- Accession number :
- edsair.doi.dedup.....11fa6bbe3aae9209c64f8668a3eb547c