Association of Overlapping, Nonconcurrent, Surgery With Patient Outcomes at a Large Academic Medical Center: A Coarsened Exact Matching Study.


Journal

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

Informations de publication

Date de publication:
10 2019
Historique:
pubmed: 28 7 2019
medline: 7 3 2020
entrez: 27 7 2019
Statut: ppublish

Résumé

Assess the safety of overlapping surgery before implementation of new recommendations and regulations. Overlapping surgery is a longstanding practice that has not been well studied. There remains a need to analyze data across institutions and specialties to draw well-informed conclusions regarding appropriate application of this practice. Coarsened exact matching was used to assess the impact of overlap on outcomes amongst all surgical interventions (n = 61,524) over 1 year (2014) at 1 health system. Overlap was categorized as: any, beginning, or end overlap. Study subjects were matched 1:1 on 11 variables. Serious unanticipated events were studied including unplanned return to operating room, readmission, and mortality. In all, 8391 patients (13.6%) had any overlap and underwent coarsened exact matching. For beginning/end overlap, matched groups were created (total matched population N = 4534/3616 patients, respectively). Any overlap did not predict unanticipated return to surgery (9.8% any overlap vs 10.1% no overlap; P = 0.45). Further, any overlap did not predict an increase in reoperation, readmission, or emergency room (ER) visits at 30 or 90 days (30D reoperation 3.6% vs 3.7%; P = 0.83, 90D reoperation 3.8% vs 3.9%; P = 0.84) (30D readmission 9.9% vs 10.2%; P = 0.45, 90D readmissions 6.9% vs 7.0%; P = 0.90) (30D ER 5.4% vs 5.6%; P = 0.60, 90D ER 4.8% vs 4.7%; P = 0.71). In addition, any overlap was not associated with mortality over the surgical follow-up period (90D mortality 1.7% vs 2.1%; P = 0.06). Beginning/end overlap had results similar to any overlap. Overlapping, nonconcurrent surgery is not associated with an increase in reoperation, readmission, ER visits, or unanticipated return to surgery.

Sections du résumé

OBJECTIVE
Assess the safety of overlapping surgery before implementation of new recommendations and regulations.
BACKGROUND
Overlapping surgery is a longstanding practice that has not been well studied. There remains a need to analyze data across institutions and specialties to draw well-informed conclusions regarding appropriate application of this practice.
METHODS
Coarsened exact matching was used to assess the impact of overlap on outcomes amongst all surgical interventions (n = 61,524) over 1 year (2014) at 1 health system. Overlap was categorized as: any, beginning, or end overlap. Study subjects were matched 1:1 on 11 variables. Serious unanticipated events were studied including unplanned return to operating room, readmission, and mortality.
RESULTS
In all, 8391 patients (13.6%) had any overlap and underwent coarsened exact matching. For beginning/end overlap, matched groups were created (total matched population N = 4534/3616 patients, respectively). Any overlap did not predict unanticipated return to surgery (9.8% any overlap vs 10.1% no overlap; P = 0.45). Further, any overlap did not predict an increase in reoperation, readmission, or emergency room (ER) visits at 30 or 90 days (30D reoperation 3.6% vs 3.7%; P = 0.83, 90D reoperation 3.8% vs 3.9%; P = 0.84) (30D readmission 9.9% vs 10.2%; P = 0.45, 90D readmissions 6.9% vs 7.0%; P = 0.90) (30D ER 5.4% vs 5.6%; P = 0.60, 90D ER 4.8% vs 4.7%; P = 0.71). In addition, any overlap was not associated with mortality over the surgical follow-up period (90D mortality 1.7% vs 2.1%; P = 0.06). Beginning/end overlap had results similar to any overlap.
CONCLUSION
Overlapping, nonconcurrent surgery is not associated with an increase in reoperation, readmission, ER visits, or unanticipated return to surgery.

Identifiants

pubmed: 31348043
doi: 10.1097/SLA.0000000000003494
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

620-629

Auteurs

Gregory Glauser (G)

Department of Neurosurgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA.

Benjamin Osiemo (B)

McKenna EpiLog Fellowship in Population Health, at the University of Pennsylvania, Philadelphia, PA.
West Chester University, The West Chester Statistical Institute and Department of Mathematics, 25 University Ave, West Chester, PA.

Stephen Goodrich (S)

McKenna EpiLog Fellowship in Population Health, at the University of Pennsylvania, Philadelphia, PA.
West Chester University, The West Chester Statistical Institute and Department of Mathematics, 25 University Ave, West Chester, PA.

Scott D McClintock (SD)

West Chester University, The West Chester Statistical Institute and Department of Mathematics, 25 University Ave, West Chester, PA.

Charles Vollmer (C)

Department of Surgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA.

Ronald DeMatteo (R)

Department of Surgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA.

Neil R Malhotra (NR)

Department of Neurosurgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA.
McKenna EpiLog Fellowship in Population Health, at the University of Pennsylvania, Philadelphia, PA.

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