Quality Versus Quantity: The Potential Impact of Public Reporting of Hospital Safety for Complex Cancer Surgery.


Journal

Annals of surgery
ISSN: 1528-1140
Titre abrégé: Ann Surg
Pays: United States
ID NLM: 0372354

Informations de publication

Date de publication:
08 2019
Historique:
pubmed: 27 4 2018
medline: 24 1 2020
entrez: 27 4 2018
Statut: ppublish

Résumé

To estimate the potential mortality reduction if patients chose the safest hospitals for complex cancer surgery. Mortality after complex oncologic surgery is highly variable across hospitals, and directing patients away from unsafe hospitals could potentially improve survivorship. Hospital quality measures are becoming increasingly accessible at a time when patients are more engaged in choosing providers. It is currently unclear what information to share with patients to maximally capitalize on patient-centered realignment. The National Cancer Database was queried for adults undergoing 5 complex cancer surgeries (pulmonary lobectomy, pneumonectomy, esophagectomy, gastrectomy, and colectomy) for a primary cancer between 2008 and 2012. Risk-standardized mortality rate (RSMR) methodology, currently used by Medicare-based hospital rating systems, was used to classify hospitals as "safest" and "least safe" by procedure. Patients were modeled moving from "least safe" to "safest" hospitals and the potential number of lives saved through patient realignment determined. As surgical volume has historically been used to distinguish safe hospitals, comparisons were made to models moving patients from low-volume to high-volume hospitals. A total of 292,040 patients were analyzed. In an optimally modeled scenario, realignment using RSMR would result in a greater number of lives saved (3592 vs 2161, P < 0.01) and require only 15 patients to change hospitals to save a life, compared to 78 patients using volume models (P < 0.01). Public reporting of hospital safety, specifically based on RSMR instead of volume, has the potential to lead to meaningful reductions in surgical mortality after complex cancer surgery, even in the setting of a modest patient realignment.

Sections du résumé

OBJECTIVE
To estimate the potential mortality reduction if patients chose the safest hospitals for complex cancer surgery.
BACKGROUND
Mortality after complex oncologic surgery is highly variable across hospitals, and directing patients away from unsafe hospitals could potentially improve survivorship. Hospital quality measures are becoming increasingly accessible at a time when patients are more engaged in choosing providers. It is currently unclear what information to share with patients to maximally capitalize on patient-centered realignment.
METHODS
The National Cancer Database was queried for adults undergoing 5 complex cancer surgeries (pulmonary lobectomy, pneumonectomy, esophagectomy, gastrectomy, and colectomy) for a primary cancer between 2008 and 2012. Risk-standardized mortality rate (RSMR) methodology, currently used by Medicare-based hospital rating systems, was used to classify hospitals as "safest" and "least safe" by procedure. Patients were modeled moving from "least safe" to "safest" hospitals and the potential number of lives saved through patient realignment determined. As surgical volume has historically been used to distinguish safe hospitals, comparisons were made to models moving patients from low-volume to high-volume hospitals.
RESULTS
A total of 292,040 patients were analyzed. In an optimally modeled scenario, realignment using RSMR would result in a greater number of lives saved (3592 vs 2161, P < 0.01) and require only 15 patients to change hospitals to save a life, compared to 78 patients using volume models (P < 0.01).
CONCLUSIONS
Public reporting of hospital safety, specifically based on RSMR instead of volume, has the potential to lead to meaningful reductions in surgical mortality after complex cancer surgery, even in the setting of a modest patient realignment.

Identifiants

pubmed: 29697446
doi: 10.1097/SLA.0000000000002762
doi:

Types de publication

Journal Article Multicenter Study Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

281-287

Subventions

Organisme : NCATS NIH HHS
ID : TL1 TR001864
Pays : United States

Commentaires et corrections

Type : CommentIn

Auteurs

Alexander S Chiu (AS)

Department of Surgery, Yale School of Medicine, New Haven CT.

Brian N Arnold (BN)

Department of Surgery, Yale School of Medicine, New Haven CT.

Jessica R Hoag (JR)

Cancer Outcomes, Public Policy, and Effectiveness Research Center, Yale School of Medicine, New Haven, CT.

Jeph Herrin (J)

Cancer Outcomes, Public Policy, and Effectiveness Research Center, Yale School of Medicine, New Haven, CT.
Section for Cardiology, Yale School of Medicine, New Haven CT.

Clara H Kim (CH)

Department of Surgery, Yale School of Medicine, New Haven CT.

Michelle C Salazar (MC)

Department of Surgery, Yale School of Medicine, New Haven CT.

Andres F Monsalve (AF)

Department of Surgery, Yale School of Medicine, New Haven CT.

Raymond A Jean (RA)

Department of Surgery, Yale School of Medicine, New Haven CT.

Justin D Blasberg (JD)

Department of Thoracic Surgery, Yale School of Medicine, New Haven CT.

Frank C Detterbeck (FC)

Department of Thoracic Surgery, Yale School of Medicine, New Haven CT.

Cary P Gross (CP)

Cancer Outcomes, Public Policy, and Effectiveness Research Center, Yale School of Medicine, New Haven, CT.

Daniel J Boffa (DJ)

Cancer Outcomes, Public Policy, and Effectiveness Research Center, Yale School of Medicine, New Haven, CT.
Department of Thoracic Surgery, Yale School of Medicine, New Haven CT.

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