Understanding Variation in In-hospital Mortality After Major Surgery in the United States.


Journal

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

Informations de publication

Date de publication:
01 12 2023
Historique:
medline: 9 11 2023
pubmed: 31 3 2023
entrez: 30 3 2023
Statut: ppublish

Résumé

We aimed to quantify the contributions of patient characteristics (PC), hospital structural characteristics (HC), and hospital operative volumes (HOV) to in-hospital mortality (IHM) after major surgery in the United States (US). The volume-outcome relationship correlates higher HOV with decreased IHM. However, IHM after major surgery is multifactorial, and the relative contribution of PC, HC, and HOV to IHM after major surgery is unknown. Patients undergoing major pancreatic, esophageal, lung, bladder, and rectal operations between 2006 and 2011 were identified from the Nationwide Inpatient Sample linked to the American Hospital Association survey. Multilevel logistic regression models were constructed using PC, HC, and HOV to calculate attributable variability in IHM for each. Eighty thousand nine hundred sixty-nine patients across 1025 hospitals were included. Postoperative IHM ranged from 0.9% for rectal to 3.9% for esophageal surgery. Patient characteristics contributed most of the variability in IHM for esophageal (63%), pancreatic (62.9%), rectal (41.2%), and lung (44.4%) operations. HOV explained < 25% of variability for pancreatic, esophageal, lung, and rectal surgery. HC accounted for 16.9% and 17.4% of the variability in IHM for esophageal and rectal surgery. Unexplained variability in IHM was high in the lung (44.3%), bladder (39.3%), and rectal (33.7%) surgery subgroups. Despite recent policy focus on the volume-outcome relationship, HOV was not the most important contributor to IHM for the major organ surgeries studied. PC remains the largest identifiable contributor to hospital mortality. Quality improvement initiatives should emphasize patient optimization and structural improvements, in addition to investigating the yet unexplained sources contributing to IHM.

Sections du résumé

OBJECTIVES
We aimed to quantify the contributions of patient characteristics (PC), hospital structural characteristics (HC), and hospital operative volumes (HOV) to in-hospital mortality (IHM) after major surgery in the United States (US).
BACKGROUND
The volume-outcome relationship correlates higher HOV with decreased IHM. However, IHM after major surgery is multifactorial, and the relative contribution of PC, HC, and HOV to IHM after major surgery is unknown.
STUDY DESIGN
Patients undergoing major pancreatic, esophageal, lung, bladder, and rectal operations between 2006 and 2011 were identified from the Nationwide Inpatient Sample linked to the American Hospital Association survey. Multilevel logistic regression models were constructed using PC, HC, and HOV to calculate attributable variability in IHM for each.
RESULTS
Eighty thousand nine hundred sixty-nine patients across 1025 hospitals were included. Postoperative IHM ranged from 0.9% for rectal to 3.9% for esophageal surgery. Patient characteristics contributed most of the variability in IHM for esophageal (63%), pancreatic (62.9%), rectal (41.2%), and lung (44.4%) operations. HOV explained < 25% of variability for pancreatic, esophageal, lung, and rectal surgery. HC accounted for 16.9% and 17.4% of the variability in IHM for esophageal and rectal surgery. Unexplained variability in IHM was high in the lung (44.3%), bladder (39.3%), and rectal (33.7%) surgery subgroups.
CONCLUSIONS
Despite recent policy focus on the volume-outcome relationship, HOV was not the most important contributor to IHM for the major organ surgeries studied. PC remains the largest identifiable contributor to hospital mortality. Quality improvement initiatives should emphasize patient optimization and structural improvements, in addition to investigating the yet unexplained sources contributing to IHM.

Identifiants

pubmed: 36994756
doi: 10.1097/SLA.0000000000005862
pii: 00000658-202312000-00006
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

865-872

Informations de copyright

Copyright © 2023 Wolters Kluwer Health, Inc. All rights reserved.

Déclaration de conflit d'intérêts

The authors report no conflicts of interest.

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Auteurs

Russell Seth Martins (RS)

Centre for Clinical Best Practices (CCBP), Clinical and Translational Research Incubator (CITRIC), Aga Khan University, Karachi, Pakistan.

Yu-Hui Chang (YH)

Department of Quantitative Health Sciences, Mayo Clinic Arizona, Phoenix, AZ.

David Etzioni (D)

Division of Colorectal Surgery, Department of Surgery, Mayo Clinic Arizona, Phoenix, AZ.

Chee-Chee Stucky (CC)

Division of Surgical Oncology and Endocrine Surgery, Department of Surgery, Mayo Clinic Arizona, Phoenix, Arizona, USA.

Patricia Cronin (P)

Division of Surgical Oncology and Endocrine Surgery, Department of Surgery, Mayo Clinic Arizona, Phoenix, Arizona, USA.

Nabil Wasif (N)

Division of Surgical Oncology and Endocrine Surgery, Department of Surgery, Mayo Clinic Arizona, Phoenix, Arizona, USA.

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