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Development and Validation of Hospital “End-of-Life” Treatment Intensity Measures

Datos Bibliográficos

ID9099731
AutoresAmber E Barnato (0000-0003-1080-6270, University of Pittsburgh, autor de correspondencia), Max H Farrell (University of Michigan), Chung-Chou H Chang (0000-0001-8719-2508, University of Pittsburgh, autor de correspondencia), Judith R Lave (University of Pittsburgh), Mark S Roberts (0000-0002-8277-0425, University of Pittsburgh, autor de correspondencia), Derek C Angus (0000-0002-7026-5181, University of Pittsburgh)
Año2009
Volumen47
Número10
Páginas1098-1105
Fecha de publicación2009-10-01
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/mlr.0b013e3181993191
PMID19820614
PMCIDPMC2777615
OpenAlexW2011145686
IdiomaEN
Citas recibidas5
Referencias citadas12

BACKGROUND: Health care utilization among decedents is increasingly used as a measure of health care efficiency, but decedent-based measures may be biased estimates of care received by "dying" patients. OBJECTIVE: To develop and validate new measures of hospital "end-of-life" treatment intensity. RESEARCH DESIGN: Retrospective cohort study using Pennsylvania Health Care Cost Containment Council (PHC4) discharge data (April 2001-March 2005) and Centers for Medicare and Medicaid Services (CMS) data (January 1999-December 2003). SUBJECTS: Patients 65 and older admitted to 174 Pennsylvania acute care hospitals. MEASURES: Hospital-specific standardized ratios of intensive care unit (ICU) and life-sustaining treatment (LST) use among terminal admissions (decedents) and admissions with a high probability of dying, and spending and use of hospitals, ICUs, and physicians among patients in their last 6 months of life. RESULTS: There was marked between-hospital variation in the use of the ICU and LSTs among decedents and admissions with high probability of dying. All hospital decedent and high probability of dying measures were highly correlated (P < 00001). In principal components factor analysis, all 4 of the last-6-months cohort-based measures, the decedent and high-risk admission-based ICU measures, and 8 of the 12 decedent and high probability of dying LST measures loaded onto a single factor, explaining 42% of the variation in the data. CONCLUSIONS: Hospitals' end-of-life intensity varies in the use of specific life-sustaining treatments that are somewhat emblematic of aggressive end-of-life care. End-of-life intensity is a relatively stable hospital attribute that is robust to multiple measurement approaches

Acute care · Cohort · Cohort study · End-of-life care · Health care · Intensive care medicine · Intensive care unit · Medicaid · Palliative care · Retrospective cohort study · Emergency Medicine · Health Systems, Economic Evaluations, Quality of Life · Healthcare Policy and Management · Internal Medicine · Medicine · Nursing · Palliative Care and End-of-Life Issues

  • Organizational Determinants of Hospital End-of-Life Treatment Intensity

    Caroline Y Lin, Max H Farrell et al.•Medical Care•2009

  • Medicare-Covered Services Near the End of Life in Medicare Advantage vs Traditional Medicare

    Open Access•Lauren Hersch Nicholas, Stacy M Fischer et al.•JAMA Health Forum•2024

  • Is Survival Better at Hospitals With Higher “End-of-Life” Treatment Intensity

    Amber E Barnato, Chung-Chou H Chang et al.•Medical Care•2010

  • Changes in Use of Postacute Care Associated With Accountable Care Organizations in Hip Fracture, Stroke, and Pneumonia Hospitalized Cohorts

    Carrie H Colla, Valerie A Lewis et al.•Medical Care•2019

  • End-of-Life Care Intensity and Hospice Use

    Shi-Yi Wang, Shi‐Yi Wang et al.•Medical Care•2016

  • The Implications of Regional Variations in Medicare Spending. Part 2

    Open Access•Elliott S Fisher, David E Wennberg et al.•Annals of Internal Medicine•2003

  • The Implications of Regional Variations in Medicare Spending. Part 1

    Open Access•Elliott S Fisher, David E Wennberg et al.•Annals of Internal Medicine•2003

  • Are Regional Variations in End-of-Life Care Intensity Explained by Patient Preferences

    Amber E Barnato, M Brooke Herndon et al.•Medical Care•2007

Obras citantes distintas5
Citas por año0,29
Intervalo de citas2009 - 2024 (16)
Velocidad de citaciónrecent
Altamente citadoNo
Tipos de citaNeutras: 4
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