The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Cost Savings Associated With US Hospital Palliative Care Consultation Programs
Abstract
BACKGROUND: Hospital palliative care consultation teams have been shown to improve care for adults with serious illness. This study examined the effect of palliative care teams on hospital costs. METHODS: We analyzed administrative data from 8 hospitals with established palliative care programs for the years 2002 through 2004. Patients receiving palliative care were matched by propensity score to patients receiving usual care. Generalized linear models were estimated for costs per admission and per hospital day. RESULTS: Of the 2966 palliative care patients who were discharged alive, 2630 palliative care patients (89%) were matched to 18,427 usual care patients, and of the 2388 palliative care patients who died, 2278 (95%) were matched to 2124 usual care patients. The palliative care patients who were discharged alive had an adjusted net savings of $1696 in direct costs per admission (P = .004) and $279 in direct costs per day (P < .001) including significant reductions in laboratory and intensive care unit costs compared with usual care patients. The palliative care patients who died had an adjusted net savings of $4908 in direct costs per admission (P = .003) and $374 in direct costs per day (P < .001) including significant reductions in pharmacy, laboratory, and intensive care unit costs compared with usual care patients. Two confirmatory analyses were performed. Including mean costs per day before palliative care and before a comparable reference day for usual care patients in the propensity score models resulted in similar results. Estimating costs for palliative care patients assuming that they did not receive palliative care resulted in projected costs that were not significantly different from usual care costs. CONCLUSION: Hospital palliative care consultation teams are associated with significant hospital cost savings.
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Comorbidity measures for use with administrative data.
Elixhauser, A., Steiner, C., Harris, D. R., & Coffey, R. M. (1998) · Medical Care · doi:10.1097/00005650-199801000-00004 · Cited by 9,921
Using Propensity Scores to Help Design Observational Studies: Application to the Tobacco Litigation
Rubin, D. B. (2001) · Health Services and Outcomes Research Methodology · doi:10.1023/a:1020363010465 · Cited by 2,228
Morrison, R. S., & Meier, D. E. (2004) · New England Journal of Medicine · doi:10.1056/nejmcp035232 · Cited by 542
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Cited by
Ferrell, B. R., Temel, J. S., Temin, S., Alesi, E. R., Balboni, T. A., Basch, E. M., Firn, J. I., Paice, J. A., Peppercorn, J. M., Phillips, T., et al. (2017) · Journal of Clinical Oncology · doi:10.1200/jco.2016.70.1474 · Cited by 2,117
Bakitas, M., Lyons, K. D., Hegel, M. T., Balan, S., Brokaw, F. C., Seville, J., Hull, J. G., Li, Z., Tosteson, T. D., Byock, I. R., et al. (2009) · JAMA · doi:10.1001/jama.2009.1198 · Cited by 1,726
Knaul, F. M., Farmer, P. E., Krakauer, E. L., De Lima, L., Bhadelia, A., Jiang Kwete, X., Arreola-Ornelas, H., Gómez-Dantés, O., Rodriguez, N. M., Alleyne, G. A. O., et al. (2018) · The Lancet · doi:10.1016/s0140-6736(17)32513-8 · Cited by 1,456
Communication About Serious Illness Care Goals: A Review and Synthesis of Best Practices
Bernacki, R. E., & Block, S. D. (2014) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2014.5271 · Cited by 1,422
Early Specialty Palliative Care — Translating Data in Oncology into Practice
Parikh, R. B., Kirch, R. A., Smith, T. J., & Temel, J. S. (2013) · New England Journal of Medicine · doi:10.1056/nejmsb1305469 · Cited by 279
Metadata
- Authors
- Morrison, R. S.
- Venue
- Archives of Internal Medicine
- Publisher
- American Medical Association (AMA)
- Published
- 2008-09-08
- Volume
- 168
- Issue
- 16
- Pages
- 1783
- ISSN
- 0003-9926 (ISSN-L)
- OpenAlex
- W2147878219
- Cited by
- 814
- References
- 3
- FWCI
- 44.94
- Type
- journal article
- Language
- en
- Open access
- closed
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