Hospital End-of-Life Treatment Intensity Among Cancer and Non-Cancer Cohorts

被引:35
作者
Barnato, Amber E. [1 ,2 ]
Cohen, Elan D. [1 ]
Mistovich, Keili A. [4 ]
Chang, Chung-Chou H. [1 ,3 ]
机构
[1] Univ Pittsburgh, Sch Med, Dept Med, Pittsburgh, PA 15213 USA
[2] Univ Pittsburgh, Grad Sch Publ Hlth, Dept Hlth Care Policy & Management, Pittsburgh, PA USA
[3] Univ Pittsburgh, Grad Sch Publ Hlth, Dept Biostat, Pittsburgh, PA 15261 USA
[4] Univ Pittsburgh, Med Ctr, Childrens Hosp, Pittsburgh, PA USA
关键词
Terminal care; end-of-life care; intensive care; mechanical ventilation; hospital; variation; cancer; congestive heart failure; chronic obstructive pulmonary disease; health services; utilization; HEART-FAILURE; CARE-UNIT; TREATMENT PREFERENCES; LUNG-CANCER; SURVIVAL; ADMISSION; SUPPORT; PROGNOSIS; TRIAGE; STATES;
D O I
10.1016/j.jpainsymman.2014.06.017
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Context. Hospitals vary substantially in their end-of-life (EOL) treatment intensity. It is unknown if patterns of EOL treatment intensity are consistent across conditions. Objectives. To explore the relationship between hospitals' cancer-and non-cancer-specific EOL treatment intensity. Methods. We conducted a retrospective cohort analysis of Pennsylvania acute care hospital admissions for either cancer or congestive heart failure (CHF) and/or chronic obstructive pulmonary disease (COPD) between 2001 and 2007, linked to vital statistics through 2008. We calculated Bayes's shrunken case-mix standardized (observed-to-expected) ratios of intensive care and life-sustaining treatment use among two EOL cohorts: those prospectively identified at high probability of dying on admission and those retrospectively identified as terminal admissions (decedents). We then summed these to create a hospital-specific prospective and retrospective overall EOL treatment intensity index for cancer vs. CHF/COPD. Results. The sample included 207,523 admissions with 15% or greater predicted probability of dying on admission among 172,041 unique adults and 120,372 terminal admissions at 166 hospitals; these two cohorts overlapped by 52,986 admissions. There was substantial variation between hospitals in their standardized EOL treatment intensity ratios among cancer and CHF/COPD admissions. Within hospitals, cancer-and CHF/COPD-specific standardized EOL treatment intensity ratios were highly correlated for intensive care unit (ICU) admission (prospective rho = 0.81; retrospective rho = 0.78), ICU lengths of stay (rho = 0.76; 0.64), mechanical ventilation (rho = 0.73; 0.73), and hemodialysis (rho = 0.60; 0.71) and less highly correlated for tracheostomy (rho = 0.43; 0.53) and gastrostomy (rho = 0.29; 0.30). Hospitals' overall EOL intensity index for cancer and CHF admissions were correlated (prospective rho = 0.75; retrospective rho = 0.75) and had equal group means (P-value = 0.631; 0.699). Conclusion. Despite substantial difference between hospitals in EOL treatment intensity, within-hospital homogeneity in EOL treatment intensity for cancer-and non-cancer populations suggests the existence of condition-insensitive institutional norms of EOL treatment. (C) 2015 American Academy of Hospice and Palliative Medicine. Published by Elsevier Inc. All rights reserved.
引用
收藏
页码:521 / U187
页数:14
相关论文
共 24 条
  • [1] Use of intensive care at the end of life in the United States: An epidemiologic study
    Angus, DC
    Barnato, AE
    Linde-Zwirble, WT
    Weissfeld, LA
    Watson, RS
    Rickert, T
    Rubenfeld, GD
    [J]. CRITICAL CARE MEDICINE, 2004, 32 (03) : 638 - 643
  • [2] Ash AS, 2005, RISK ADJUSTMENT MEAS, P297
  • [3] Is Survival Better at Hospitals With Higher "End-of-Life" Treatment Intensity?
    Barnato, Amber E.
    Chang, Chung-Chou H.
    Farrell, Max H.
    Lave, Judith R.
    Roberts, Mark S.
    Angus, Derek C.
    [J]. MEDICAL CARE, 2010, 48 (02) : 125 - 132
  • [4] Development and Validation of Hospital "End-of-Life" Treatment Intensity Measures
    Barnato, Amber E.
    Farrell, Max H.
    Chang, Chung-Chou H.
    Lave, Judith R.
    Roberts, Mark S.
    Angus, Derek C.
    [J]. MEDICAL CARE, 2009, 47 (10) : 1098 - 1105
  • [5] Medicare program expenditures associated with hospice use
    Campbell, DE
    Lynn, J
    Louis, TA
    Shugarman, LR
    [J]. ANNALS OF INTERNAL MEDICINE, 2004, 140 (04) : 269 - 277
  • [6] Survival of Medicare patients after enrollment in hospice programs
    Christakis, NA
    Escarce, JJ
    [J]. NEW ENGLAND JOURNAL OF MEDICINE, 1996, 335 (03) : 172 - 178
  • [7] Christakis Nicholas A, 2002, J Palliat Med, V5, P515, DOI 10.1089/109662102760269751
  • [8] Christakis NicholasA., 1999, DEATH FORETOLD PROPH
  • [9] Dying with lung cancer or chronic obstructive pulmonary disease: Insights from SUPPORT
    Claessens, MT
    Lynn, J
    Zhong, ZS
    Desbiens, NA
    Phillips, RS
    Wu, AW
    Harrell, FE
    Connors, AF
    [J]. JOURNAL OF THE AMERICAN GERIATRICS SOCIETY, 2000, 48 (05) : S146 - S153
  • [10] PROGNOSIS, SURVIVAL, AND THE EXPENDITURE OF HOSPITAL RESOURCES FOR PATIENTS IN AN INTENSIVE-CARE UNIT
    DETSKY, AS
    STRICKER, SC
    MULLEY, AG
    THIBAULT, GE
    [J]. NEW ENGLAND JOURNAL OF MEDICINE, 1981, 305 (12) : 667 - 672