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Use of a Modified American College of Surgeons Trauma Quality Improvement Program to Enhance 30-Day Post-Trauma Readmission Detection.
Shapiro, David S; Umer, Affan; Marshall, William T; Hansen, Kelly; Boucher, Ellen; Emmanuel, Alph; Ellner, Scott; Feeney, James M.
Afiliação
  • Shapiro DS; Department of Surgery, Trauma and Critical Care, Saint Francis Hospital and Medical Center, Hartford, CT.
  • Umer A; Department of Surgery, Trauma and Critical Care, Saint Francis Hospital and Medical Center, Hartford, CT. Electronic address: aumer@stfranciscare.org.
  • Marshall WT; Department of Surgery, Trauma and Critical Care, Saint Francis Hospital and Medical Center, Hartford, CT.
  • Hansen K; Department of Surgery, Trauma and Critical Care, Saint Francis Hospital and Medical Center, Hartford, CT.
  • Boucher E; Department of Surgery, Trauma and Critical Care, Saint Francis Hospital and Medical Center, Hartford, CT.
  • Emmanuel A; Department of Surgery, Trauma and Critical Care, Saint Francis Hospital and Medical Center, Hartford, CT.
  • Ellner S; Department of Surgery, Trauma and Critical Care, Saint Francis Hospital and Medical Center, Hartford, CT.
  • Feeney JM; Department of Surgery, Trauma and Critical Care, Saint Francis Hospital and Medical Center, Hartford, CT.
J Am Coll Surg ; 222(5): 865-9, 2016 05.
Article em En | MEDLINE | ID: mdl-27016899
ABSTRACT

BACKGROUND:

Traumatic injury remains the leading cause of preventable morbidity and mortality worldwide, with a large economic burden. One fourth of annual Medicare expenditures result from readmissions, including trauma. The American College of Surgeons Trauma Quality Improvement Program (ACS TQIP) has elevated care for >200 trauma programs worldwide. We use ACS TQIP, which does not include 30-day outcomes featured in the ACS NSQIP, affecting observed readmission rates. STUDY

DESIGN:

Trauma patients were subjected to the 30-day follow-up with the ACS NSQIP tools to assess readmission rates. The existing standard hospital and trauma registry data review was used to determine readmission, with the same group assessed for readmission using the information collected with the modified TQIP tools. All data collected via this method were patient reported and verified by review of records at our facility and via patient-authorized outside record review.

RESULTS:

Six hundred and ninety-eight consecutive patients were admitted to the trauma service during the study period and 378 (54.1%) were contacted by telephone for interview. Demographic characteristics were similar (p = NS). The readmission rate changed from 4.01% to 2.4% using the hospital and trauma registry subset (p = NS). Readmission rate by the modified TQIP method was 7.1% (p < 0.03). Readmitted patients did not differ with respect to routine follow-up visits.

CONCLUSIONS:

We hypothesized that our observed and actual readmission rates differed. We discovered a significant difference in reported rates. Incorporating an NSQIP-like postdischarge feedback process can improve the accuracy of hospitals' readmission data and complication reporting, and thereby improve the value of the information TQIP uses as benchmarks.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Readmissão do Paciente / Ferimentos e Lesões / Melhoria de Qualidade Tipo de estudo: Diagnostic_studies / Observational_studies / Qualitative_research / Risk_factors_studies Limite: Aged / Female / Humans / Male / Middle aged País/Região como assunto: America do norte Idioma: En Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Readmissão do Paciente / Ferimentos e Lesões / Melhoria de Qualidade Tipo de estudo: Diagnostic_studies / Observational_studies / Qualitative_research / Risk_factors_studies Limite: Aged / Female / Humans / Male / Middle aged País/Região como assunto: America do norte Idioma: En Ano de publicação: 2016 Tipo de documento: Article