Literature DB >> 34388021

Effect of Early Palliative Care on End-of-Life Health Care Costs: A Population-Based, Propensity Score-Matched Cohort Study.

Hsien Seow1, Lisa C Barbera2, Kimberlyn McGrail3, Fred Burge4, Dawn M Guthrie5, Beverley Lawson3, Kelvin K W Chan6, Stuart J Peacock7, Rinku Sutradhar8.   

Abstract

PURPOSE: This study aimed to investigate the impact of early versus not-early palliative care among cancer decedents on end-of-life health care costs.
METHODS: Using linked administrative databases, we created a retrospective cohort of cancer decedents between 2004 and 2014 in Ontario, Canada. We identified those who received early palliative care (palliative care service used in the hospital or community 12 to 6 months before death [exposure]). We used propensity score matching to identify a control group of not-early palliative care, hard matched on age, sex, cancer type, and stage at diagnosis. We examined differences in average health system costs (including hospital, emergency department, physician, and home care costs) between groups in the last month of life.
RESULTS: We identified 144,306 cancer decedents, of which 37% received early palliative care. After matching, we created 36,238 pairs of decedents who received early and not-early (control) palliative care; there were balanced distributions of age, sex, cancer type (24% lung cancer), and stage (25% stage III and IV). Overall, 56.3% of early group versus 66.7% of control group used inpatient care in the last month (P < .001). Considering inpatient hospital costs in the last month of life, the early group used an average (±standard deviation) of $7,105 (±$10,710) versus the control group of $9,370 (±$13,685; P < .001). Overall average costs (±standard deviation) in the last month of life for patients in the early versus control group was $12,753 (±$10,868) versus $14,147 (±$14,288; P < .001).
CONCLUSION: Receiving early palliative care reduced average health system costs in the last month of life, especially via avoided hospitalizations.

Entities:  

Mesh:

Year:  2021        PMID: 34388021      PMCID: PMC8758090          DOI: 10.1200/OP.21.00299

Source DB:  PubMed          Journal:  JCO Oncol Pract        ISSN: 2688-1527


  34 in total

1.  Type I error rates, coverage of confidence intervals, and variance estimation in propensity-score matched analyses.

Authors:  Peter C Austin
Journal:  Int J Biostat       Date:  2009-04-14       Impact factor: 0.968

2.  Reliability of the interRAI Long Term Care Facilities (LTCF) and interRAI Home Care (HC).

Authors:  Hongsoo Kim; Young-Il Jung; Moonhee Sung; Ji-Yoon Lee; Ju-Young Yoon; Jong-Lull Yoon
Journal:  Geriatr Gerontol Int       Date:  2014-08-27       Impact factor: 2.730

3.  The Costs of Waiting: Implications of the Timing of Palliative Care Consultation among a Cohort of Decedents at a Comprehensive Cancer Center.

Authors:  Colin Scibetta; Kathleen Kerr; Joseph Mcguire; Michael W Rabow
Journal:  J Palliat Med       Date:  2015-11-30       Impact factor: 2.947

4.  Cost-effectiveness of early palliative care intervention in recurrent platinum-resistant ovarian cancer.

Authors:  William J Lowery; Ashlei W Lowery; Jason C Barnett; Micael Lopez-Acevedo; Paula S Lee; Angeles Alvarez Secord; Laura Havrilesky
Journal:  Gynecol Oncol       Date:  2013-06-14       Impact factor: 5.482

5.  Benefits and costs of home palliative care compared with usual care for patients with advanced illness and their family caregivers.

Authors:  Barbara Gomes; Natalia Calanzani; Irene J Higginson
Journal:  JAMA       Date:  2014-03-12       Impact factor: 56.272

6.  Measuring depression in nursing home residents with the MDS and GDS: an observational psychometric study.

Authors:  Melissa Koehler; Terry Rabinowitz; John Hirdes; Michael Stones; G Iain Carpenter; Brant E Fries; John N Morris; Richard N Jones
Journal:  BMC Geriatr       Date:  2005-01-01       Impact factor: 3.921

7.  Impact of community based, specialist palliative care teams on hospitalisations and emergency department visits late in life and hospital deaths: a pooled analysis.

Authors:  Hsien Seow; Kevin Brazil; Jonathan Sussman; José Pereira; Denise Marshall; Peter C Austin; Amna Husain; Jagadish Rangrej; Lisa Barbera
Journal:  BMJ       Date:  2014-06-06

8.  End-of-life outcomes with or without early palliative care: a propensity score matched, population-based cancer cohort study.

Authors:  Hsien Seow; Rinku Sutradhar; Fred Burge; Kimberlyn McGrail; Dawn M Guthrie; Beverley Lawson; Urun Erbas Oz; Kelvin Chan; Stuart Peacock; Lisa Barbera
Journal:  BMJ Open       Date:  2021-02-12       Impact factor: 2.692

9.  Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity-score matched samples.

Authors:  Peter C Austin
Journal:  Stat Med       Date:  2009-11-10       Impact factor: 2.373

10.  Use of the interRAI CHESS scale to predict mortality among persons with neurological conditions in three care settings.

Authors:  John P Hirdes; Jeffrey W Poss; Lori Mitchell; Lawrence Korngut; George Heckman
Journal:  PLoS One       Date:  2014-06-10       Impact factor: 3.240

View more
  1 in total

1.  Analysis of Palliative Care Utilization and Medical Expenses among Patients with Chronic Diseases in Taiwan: A Population-Based Cohort Study.

Authors:  Hui-Mei Lin; Yen-Chun Huang; Chieh-Wen Ho; Mingchih Chen
Journal:  Int J Environ Res Public Health       Date:  2022-10-03       Impact factor: 4.614

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.