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

Bibliographic Data

ID9099731
AuthorsAmber E Barnato (0000-0003-1080-6270, University of Pittsburgh, corresponding author), Max H Farrell (University of Michigan), Chung-Chou H Chang (0000-0001-8719-2508, University of Pittsburgh, corresponding author), Judith R Lave (University of Pittsburgh), Mark S Roberts (0000-0002-8277-0425, University of Pittsburgh, corresponding author), Derek C Angus (0000-0002-7026-5181, University of Pittsburgh)
Year2009
Volume47
Issue10
Pages1098-1105
Publication date2009-10-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueMedical Care (JOURNAL)
Journal identifiersISSN: 0025-7079 • E-ISSN: 1537-1948
PublisherOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/mlr.0b013e3181993191
PMID19820614
PMCIDPMC2777615
OpenAlexW2011145686
LanguageEN
Citations received5
References cited12

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

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

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Unique citing works5
Citations per year0,29
Citation span2009 - 2024 (16)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 4
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