Pular para o conteúdo principal

ETHNOS_APP

Início • Busca • Periódicos • Lista 0

Variability in Case-mix Adjusted In-hospital Cardiac Arrest Rates

Dados Bibliográficos

ID9101067
AutoresRaina M Merchant (0000-0002-9801-6881, Children's Hospital of Philadelphia, autor correspondente), Lin Yang (0000-0002-1698-6666, General Department of Preventive Medicine), Lance B Becker (0000-0001-7051-8778, autor correspondente), Robert A Berg (0000-0001-5529-9431, Philadelphia University), Vinay Nadkarni (0000-0002-3794-5599, Philadelphia University), Graham Nichol (0000-0002-2670-0000, University of Washington), Brendan G Carr (0000-0002-9147-9701, autor correspondente), Nandita Mitra (0000-0002-7714-3910, University of Pennsylvania), Steven M Bradley (0000-0003-4006-6760, University of Washington), Benjamin S Abella (0000-0003-2521-0891, autor correspondente), Peter W Groeneveld (0000-0002-7374-4292, General Department of Preventive Medicine)
Ano2012
Volume50
Fascículo2
Páginas124-130
Data de publicação2012-02-01
Peer ReviewedSim
Open AccessNão
TipoARTICLE
PeriódicoMedical Care (JOURNAL)
Identificadores do periódicoISSN: 0025-7079 • E-ISSN: 1537-1948
EditoraOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/mlr.0b013e31822d5d17
PMID22249921
PMCIDPMC3260453
OpenAlexW2077713838
IdiomaEN
Citações recebidas1
Referências citadas27

BACKGROUND: It is unknown how in-hospital cardiac arrest (IHCA) rates vary across hospitals and predictors of variability. OBJECTIVES: Measure variability in IHCA across hospitals and determine if hospital-level factors predict differences in case-mix adjusted event rates. RESEARCH DESIGN: Get with the Guidelines Resuscitation (GWTG-R) (n=433 hospitals) was used to identify IHCA events between 2003 and 2007. The American Hospital Association survey, Medicare, and US Census were used to obtain detailed information about GWTG-R hospitals. PARTICIPANTS: Adult patients with IHCA. MEASURES: Case-mix-adjusted predicted IHCA rates were calculated for each hospital and variability across hospitals was compared. A regression model was used to predict case-mix adjusted event rates using hospital measures of volume, nurse-to-bed ratio, percent intensive care unit beds, palliative care services, urban designation, volume of black patients, income, trauma designation, academic designation, cardiac surgery capability, and a patient risk score. RESULTS: We evaluated 103,117 adult IHCAs at 433 US hospitals. The case-mix adjusted IHCA event rate was highly variable across hospitals, median 1/1000 bed days (interquartile range: 0.7 to 1.3 events/1000 bed days). In a multivariable regression model, case-mix adjusted IHCA event rates were highest in urban hospitals [rate ratio (RR), 1.1; 95% confidence interval (CI), 1.0-1.3; P=0.03] and hospitals with higher proportions of black patients (RR, 1.2; 95% CI, 1.0-1.3; P=0.01) and lower in larger hospitals (RR, 0.54; 95% CI, 0.45-0.66; P<0.0001). CONCLUSIONS: Case-mix adjusted IHCA event rates varied considerably across hospitals. Several hospital factors associated with higher IHCA event rates were consistent with factors often linked with lower hospital quality of care

Case mix index · Confidence interval · Intensive care unit · Interquartile range · Cardiac Arrest and Resuscitation · Demography · Emergency Medicine · Internal Medicine · Medicine · Sepsis Diagnosis and Treatment · Simulation-Based Education in Healthcare

  • Better Nurse Staffing and Nurse Work Environments Associated With Increased Survival of In-Hospital Cardiac Arrest Patients

    Matthew D McHugh, Monica F Rochman et al.•Medical Care•2016

  • Longitudinal Data Analysis for Discrete and Continuous Outcomes

    Scott L Zeger, Kung-Yee Liang et al.•Biometrics•1986

  • A Modified Poisson Regression Approach to Prospective Studies with Binary Data

    Guangyong Zou•American Journal of Epidemiology•2004

  • Comorbidity Measures for Use with Administrative Data

    Anne Elixhauser, Claudia Steiner et al.•Medical Care•1998

Obras citantes distintas1
Citações por ano0,1
Intervalo de citações2016 - 2016 (1)
Velocidade de citaçãohistorical
Altamente citadoNão
Tipos de citaçãoNeutras: 1
Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae