Saltar al contenido principal

ETHNOS_APP

Inicio • Búsqueda • Revistas • Lista 0

Can Administrative Data Be Used to Compare Postoperative Complication Rates Across Hospitals

Datos Bibliográficos

ID9103561
AutoresPatrick S Romano (0000-0001-6749-3979, University of California System, autor de correspondencia), Benjamin K Chan, Benjamin Chan (0000-0001-7859-6762), Michael E Schembri, Michael Schembri (0000-0002-0511-853X), Julie A Rainwater, Julie Rainwater
Año2002
Volumen40
Número10
Páginas856-867
Fecha de publicación2002-10-01
Peer ReviewedSí
Open AccessNo
TipoARTICLE
RevistaMedical Care (JOURNAL)
Identificadores de la revistaISSN: 0025-7079 • E-ISSN: 1537-1948
EditorialOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/00005650-200210000-00004
PMID12395020
OpenAlexW2065810994
IdiomaEN
Citas recibidas17
Referencias citadas30

BACKGROUND: Several quality assessment systems use administrative data to identify postoperative complications, with uncertain validity. OBJECTIVES: To determine how accurately postoperative complications are reported in administrative data, whether accuracy varies systematically across hospitals, and whether serious complications are more consistently reported. DESIGN: Retrospective cohort. SUBJECTS: Nine hundred ninety-one randomly sampled adults who underwent elective lumbar diskectomies at 30 nonfederal acute care hospitals in California in 1990 to 1991. Hospitals with especially low or high risk-adjusted complication rates, and patients who experienced complications, were over sampled. MEASURES: Postoperative complications were specified by reviewing medical literature and consulting clinical experts; each complication was mapped to ICD-9-CM. Hospital-reported complications were compared with our independent recoding of the same records. RESULTS: The weighted sensitivity, specificity, and positive and negative predictive values for reported complications were 35%, 98%, 82%, and 84%, respectively. The weighted sensitivity was 30% for serious, 40% for minor, and 10% for questionable complications. It varied from 21% among hospitals with fewer complications than expected to 45% among hospitals with more complications than expected. Only reoperation, bacteremia/sepsis, postoperative infection, and deep vein thrombosis were reported with at least 60% sensitivity. Half of the difference in risk-adjusted complication rates between low and high outlier hospitals was attributable to reporting variation. CONCLUSIONS: ICD-9-CM complications were underreported among diskectomy patients, especially at hospitals with low risk-adjusted complication rates. The validity of using coded complications to compare provider performance is questionable, even with careful efforts to identify serious events, although these results must be confirmed using more recent data

Bacteremia · Complication · Deep vein · Medical record · Retrospective cohort study · Sepsis · Thrombosis · Cervical and Thoracic Myelopathy · Emergency Medicine · Medical Coding and Health Information · Medicine · Spine and Intervertebral Disc Pathology · Surgery

  • Fidelity of Administrative Data When Researching Down Syndrome

    Kristin M Jensen, Colin R Cooke et al.•Medical Care•2014

  • Hospital Finances and Patient Safety Outcomes

    Open Access•William Encinosa, William E Encinosa et al.•INQUIRY The Journal of Health…•2005

  • Development and Validation of a Diagnostic Algorithm for Down Syndrome Using Birth Certificate and International Classification of Diseases Codes

    Open Access•Lin Ammar, Kristin Bird et al.•Children•2024

  • Quality of Diagnosis and Procedure Coding in ICD-10 Administrative Data

    Toni Henderson, Jennie Shepheard et al.•Medical Care•2006

  • Accidental Iatrogenic Pneumothorax in Hospitalized Patients

    Chunliu Zhan, Maureen A Smith et al.•Medical Care•2006

  • Changes in Prognosis After the First Postoperative Complication

    Jeffrey H Silber, Paul R Rosenbaum et al.•Medical Care•2005

  • Impact of Diagnosis-Timing Indicators on Measures of Safety, Comorbidity, and Case Mix Groupings From Administrative Data Sources

    James M Naessens, Claudia R Campbell et al.•Medical Care•2007

  • Assessing Patient Safety in the United States

    Chunliu Zhan, Ed Kelley et al.•Medical Care•2005

  • Do the AHRQ Patient Safety Indicators Flag Conditions That Are Present at the Time of Hospital Admission

    Vinita Bahl, Maureen Thompson et al.•Medical Care•2008

  • Deriving ICD-10 Codes for Patient Safety Indicators for Large-scale Surveillance Using Administrative Hospital Data

    Danielle A Southern, Bernard Burnand et al.•Medical Care•2017

  • Evaluating the Patient Safety Indicators

    Amy K Rosen, Peter Rivard et al.•Medical Care•2005

  • Modifying DRG-PPS to Include Only Diagnoses Present on Admission

    Chunliu Zhan, Anne Elixhauser et al.•Medical Care•2007

  • The Demise of Comparative Provider Complication Rates Derived from ICD-9-CM Code Diagnoses

    Jane M Geraci•Medical Care•2002

  • Finally Present on Admission but Needs Attention

    Lisa I Iezzoni•Medical Care•2007

  • Canadian Mortality Rates for Liver Disease

    Open Access•Snehal Desai, Kevork Peltekian et al.•Canadian Journal of Public Health•2004

  • The Charlson comorbidity index (CCI) for adjustment of hip fracture mortality in the elderly

    Open Access•Rômulo Cristovão De Souza, Rômulo Sampaio Pinheiro et al.•Cadernos de Saude Publica•2008

  • Outcomes Following Surgical Management of Cauda Equina Syndrome

    Open Access•Amit Jain, Emmanuel Menga et al.•Journal of Racial and Ethnic…•2018

  • Assessing providers of coronary revascularization

    Arthur J Hartz, Evelyn M Kuhn et al.•American Journal of Public Health•1992

  • Comorbidity-Adjusted Complication Risk

    DAVID J BRAILER, EUGENE KROCH et al.•Medical Care•1996

  • Identifying Complications of Care Using Administrative Data

    Lisa I Iezzoni, JENNIFER DALEY et al.•Medical Care•1994

  • International Classification of Diseases, 9th Revision, Clinical Modification Codes in Discharge Abstracts Are Poor Measures of Complication Occurrence in Medical Inpatients

    Jane M Geraci, Carol M Ashton et al.•Medical Care•1997

  • Measuring Hospital Performance

    Susan I Desharnais, Susan DesHarnais et al.•Medical Care•1990

  • Does Clinical Evidence Support ICD-9-CM Diagnosis Coding of Complications

    Ellen P McCarthy, Lisa I Iezzoni et al.•Medical Care•2000

  • Hospital and Patient Characteristics Associated With Death After Surgery

    Jeffrey H Silber, Sharon Vegh Williams et al.•Medical Care•1992

  • Postoperative Adverse Events of Common Surgical Procedures in the Medicare Population

    Amy K Rosen, Jane M Geraci et al.•Medical Care•1992

  • Identification of In-Hospital Complications From Claims Data

    Ann G Lawthers, Ellen P McCarthy et al.•Medical Care•2000

  • A Spurious Correlation Between Hospital Mortality and Complication Rates

    Jeffrey H Silber, Paul R Rosenbaum•Medical Care•1997

Obras citantes distintas17
Citas por año0,71
Intervalo de citas2002 - 2024 (23)
Velocidad de citaciónrecent
Altamente citadoNo
Tipos de citaNeutras: 16
Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae