Dataset Information

Influence of Peer Physicians on Intensity of End-of-Life Care for Cancer Decedents.

ABSTRACT: BACKGROUND:The intensity of end-of-life care varies substantially both within and between areas. Differing practice patterns of individual physicians are likely influenced by their peers. OBJECTIVE:To assess whether intensity of end-of-life care previously provided by a physician's peers influences patterns of care at the end-of-life for that physician's patients. RESEARCH DESIGN:Observational study. SUBJECTS:A total of 185,947 fee-for-service Medicare enrollees with cancer who died during 2006-2010 who were treated by 26,383 physicians. MEASURES:Spending in the last month of life, >1 emergency room visit, >1 hospitalization, intensive care unit admission in the last month of life, chemotherapy within 2 weeks of death, no/late hospice, terminal hospitalization. RESULTS:Mean (SD) spending in the last month of life was $16,237 ($17,124). For each additional $1000 of spending for a peer physician's patients in the prior year, spending for the ego physician's patients was $83 higher (P<0.001). Among physicians with peers both in and out of their practice, more of the peer effect was explained by physicians outside of the practice ($72 increase for each $1000 increase by peer physicians' patients, P<0.001) than peer physicians in the practice ($27 for each $1000 increase by within-practice peer physicians' patients, P=0.01). Results were similar across the other measures of end-of-life care intensity. CONCLUSIONS:Physician's peers exert influence on the intensity of care delivered to that physician's patients at the end-of-life. Physician education efforts led by influential providers and provider organizations may have potential to improve the delivery of high-value end-of-life care.

SUBMITTER: Keating NL

PROVIDER: S-EPMC6522329 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Influence of Peer Physicians on Intensity of End-of-Life Care for Cancer Decedents.

Keating Nancy L NL O'Malley Alistair James AJ Onnela Jukka-Pekka JP Gray Stacy W SW Landon Bruce E BE

Medical care 20190601 6

<h4>Background</h4>The intensity of end-of-life care varies substantially both within and between areas. Differing practice patterns of individual physicians are likely influenced by their peers.<h4>Objective</h4>To assess whether intensity of end-of-life care previously provided by a physician's peers influences patterns of care at the end-of-life for that physician's patients.<h4>Research design</h4>Observational study.<h4>Subjects</h4>A total of 185,947 fee-for-service Medicare enrollees with ...[more]

PMID: 31008900

Similar Datasets

Project description:Background/objectiveThe Centers for Medicare & Medicaid Services (CMS) reimburses clinicians for advance care planning (ACP) discussions with Medicare patients. The objective of the study was to examine the association of CMS-billed ACP visits with end-of-life (EOL) healthcare utilization.DesignPatient-level analyses of claims for the random 20% Medicare fee-for-service (FFS) sample of decedents in 2017. To account for multiple comparisons, Bonferroni adjusted P value <.008 was considered statistically significant.SettingNationally representative sample of Medicare FFS beneficiaries.ParticipantsA total of 237,989 Medicare FFS beneficiaries who died in 2017 and included those with and without a billed ACP visit during 2016-17.InterventionThe key exposure variable was receipt of first billed ACP (none, >1 month before death).MeasurementsSix measures of EOL healthcare utilization or intensity (inpatient admission, emergency department [ED] visit, intensive care unit [ICU] stay, and expenditures within 30 days of death, in-hospital death, and first hospice within 3 days of death). Analyses was adjusted for age, race, sex, Charlson Comorbidity Index, expenditure by Dartmouth hospital referral region (high, medium, or low), and dual eligibility.ResultsOverall, 6.3% (14,986) of the sample had at least one billed ACP visit. After multivariable adjustment, patients with an ACP visit experienced significantly less intensive EOL care on four of six measures: hospitalization (odds ratio [OR] = .77; 95% confidence interval [CI] = .74-.79), ED visit (OR = .77; 95% CI = .75-.80), or ICU stay (OR = .78; 95% CI = .74-.81) within a month of death; and they were less likely to die in the hospital (OR = .79; 95% CI = .76-.82). There were no differences in the rate of late hospice enrollment (OR = .97; 95% CI = .92-1.01; P = .119) or mean expenditures ($242.50; 95% CI = -$103.63 to $588.61; P = .169).ConclusionBilled ACP visits were relatively uncommon among Medicare FFS decedents, but their occurrence was associated with less intensive EOL utilization. Further research on the variables affecting hospice use and expenditures in the EOL period is recommended to understand the relative role of ACP.

Project description:ImportanceThe idea that physicians as patients choose less-aggressive care at the end of life for themselves is an often-cited rationale to advocate for less technology-laden end-of-life care.ObjectiveTo assess end-of-life care received by physicians compared with nonphysicians in a system with universal health care.Design, setting, and participantsIn this population-level decedent cohort study of data from April 1, 2004, through March 31, 2015 (fiscal years 2004-2014), in Ontario, Canada, 2507 physicians were matched approximately 1:3 to 7513 nonphysicians (ie, individuals who never were registered as a physician with the College of Physicians and Surgeons of Ontario) according to age, sex, income quintile, and location of residence.Main outcomes and measuresThe primary outcome was location of death. Other outcomes included measures of health care use in the last 6 months of life. Differences were assessed using Poisson regression with robust error variances, adjusting for the Charlson Comorbidity Index.ResultsIn total, 2516 physicians and 954 836 nonphysicians died between April 1, 2004, and March 31, 2015, in Ontario; 2247 physicians (89.3%) and 474 182 nonphysicians (49.7%) were men. The median (interquartile range) age at death was 82 (74-87) years for the physicians and 80 (68-87) years for the nonphysicians. After matching, data for 2507 physicians and 7513 nonphysicians were analyzed. For physicians, the risk of death at home was no different from that for nonphysicians (42.8% vs 39.0%; adjusted relative risk [aRR], 1.04; 95% CI, 0.99-1.09), but the risk of death in an intensive care unit was increased (11.9% vs 10.0%; aRR, 1.22; 95% CI, 1.08-1.39). In the prior 6 months, physicians had a decreased risk of an emergency department visit (73.0% vs 78.4%; aRR, 0.96; 95% CI, 0.94-0.98) but increased risks of an intensive care unit admission (20.8% vs 19.1%; aRR, 1.14; 95% CI, 1.05-1.24) and of receipt of palliative care services (52.9% vs 47.4%; aRR, 1.18; 95% CI, 1.13-1.23). Among a subgroup of 457 physicians and 1347 nonphysicians with cancer, the risk of death at home or intensive care unit was increased (37.6% vs 28.6%; aRR, 1.30; 95% CI, 1.13-1.50), as was the risk of receiving chemotherapy in the last 6 months of life.Conclusions and relevanceThere was no difference overall for physicians compared with nonphysicians in terms of the likelihood of dying at home; physicians were more likely to die in an intensive care unit and to receive chemotherapy, but also to receive palliative care services. These findings suggest that physicians do not consistently opt for less-aggressive care but instead receive end-of-life care that includes both intensive and palliative care. These findings inform a more nuanced perspective of what physicians may perceive to be optimal care at the end of life.

Project description:To examine inpatient intensive care unit (ICU) and intensive procedure use by race among Medicare decedents, using utilization among survivors for comparison.Retrospective observational analysis of inpatient claims using multivariable hierarchical logistic regression.United States, 1989-1999.Hospitalized Medicare fee-for-service decedents (n = 976,220) and survivors (n = 845,306) aged 65 years or older.Admission to the ICU and use of one or more intensive procedures over 12 months, and, for inpatient decedents, during the terminal admission. Black decedents with one or more hospitalization in the last 12 months of life were slightly more likely than non-blacks to be admitted to the ICU during the last 12 months (49.3% vs. 47.4%, p <.0001) and the terminal hospitalization (41.9% vs. 40.6%, p < 0.0001), but these differences disappeared or attenuated in multivariable hierarchical logistic regressions (last 12 months adjusted odds ratio (AOR) 1.0 [0.99-1.03], p = .36; terminal hospitalization AOR 1.03 [1.0-1.06], p = .01). Black decedents were more likely to undergo an intensive procedure during the last 12 months (49.6% vs. 42.8%, p < .0001) and the terminal hospitalization (37.7% vs, 31.1%, p < .0001), a difference that persisted with adjustment (last 12 months AOR 1.1 [1.08-1.14], p < .0001; terminal hospitalization AOR 1.23 [1.20-1.26], p < .0001). Patterns of differences in inpatient treatment intensity by race were reversed among survivors: blacks had lower rates of ICU admission (31.2% vs. 32.4%, p < .0001; AOR 0.93 [0.91-0.95], p < .0001) and intensive procedure use (36.6% vs. 44.2%; AOR 0.72 [0.70-0.73], p <.0001). These differences were driven by greater use by blacks of life-sustaining treatments that predominate among decedents but lesser use of cardiovascular and orthopedic procedures that predominate among survivors. A hospital's black census was a strong predictor of inpatient end-of-life treatment intensity.Black decedents were treated more intensively during hospitalization than non-black decedents, whereas black survivors were treated less intensively. These differences are strongly associated with a hospital's black census. The causes and consequences of these hospital-level differences in intensity deserve further study.

Project description:Hospitals vary substantially in their end-of-life (EOL) treatment intensity. It is unknown if patterns of EOL treatment intensity are consistent across conditions.To explore the relationship between hospitals' cancer- and non-cancer-specific EOL treatment intensity.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.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 ? = 0.81; retrospective ? = 0.78), ICU lengths of stay (? = 0.76; 0.64), mechanical ventilation (? = 0.73; 0.73), and hemodialysis (? = 0.60; 0.71) and less highly correlated for tracheostomy (? = 0.43; 0.53) and gastrostomy (? = 0.29; 0.30). Hospitals' overall EOL intensity index for cancer and CHF admissions were correlated (prospective ? = 0.75; retrospective ? = 0.75) and had equal group means (P-value = 0.631; 0.699).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.

Dataset Information

Influence of Peer Physicians on Intensity of End-of-Life Care for Cancer Decedents.

Publications

Influence of Peer Physicians on Intensity of End-of-Life Care for Cancer Decedents.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure