Evidence map›Paper›PMID 37910343›Full record

ArticlePharmacoEconomics - open2024

Specialist Palliative Care and Health Care Costs at the End of Life.

Patricia Kenny, Dan Liu, Denzil Fiebig, Jane Hall, Jared Millican, Sanchia Aranda, Kees van Gool, Philip Haywood

Abstract read
In one paragraph

Article in PharmacoEconomics - open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Population Preferences for Treatment in Life-Limiting Illness: Valuing the Way Time Is Spent at the End of Life.Medical decision making : an international journal of the Society for Medical Decision Making · 2025
    Article
  5. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Patricia KennyCentre for Health Economics Research & Evaluation, University of Technology Sydney, Sydney, NSW, Australia. patricia.kenny@uts.edu.au.ORCID http://orcid.org/0000-0002-5021-4758
Dan LiuCentre for Health Economics Research & Evaluation, University of Technology Sydney, Sydney, NSW, Australia.ORCID http://orcid.org/0000-0002-1891-9352
Denzil FiebigSchool of Economics, University of New South Wales, Sydney, NSW, Australia.ORCID http://orcid.org/0000-0002-3707-1940
Jane HallCentre for Health Economics Research & Evaluation, University of Technology Sydney, Sydney, NSW, Australia.ORCID http://orcid.org/0000-0002-2191-0543
Jared MillicanConcord Centre for Palliative Care, Sydney Local Health District, Sydney, NSW, Australia.
Sanchia ArandaDepartment of Nursing, University of Melbourne, Melbourne, Victoria, Australia.
Kees van GoolCentre for Health Economics Research & Evaluation, University of Technology Sydney, Sydney, NSW, Australia.ORCID http://orcid.org/0000-0002-1424-9304
Philip HaywoodCentre for Health Economics Research & Evaluation, University of Technology Sydney, Sydney, NSW, Australia.ORCID http://orcid.org/0000-0001-5031-8648

Funding

National Health and Medical Research Council APP1171749
6 · The paper itself

Abstract

BACKGROUND/

aimsThe use and costs of health care rise substantially in the months prior to death, and although the use of palliative care services may be expected to lead to less costly care, the evidence is mixed. We analysed the costs of care over the last year of life and the extent to which these are associated with the use and duration of specialist palliative care (SPC) for decedents who died from cancer or another life-limiting illness.

methodsThe decedents were participants in a cohort study of older residents of the state of New South Wales, Australia. Using linked survey and administrative health data from 2007 to 2016, two cohorts were identified: n = 10,535 where the cause of death was cancer; and n = 11,179 where the cause of death was another life-limiting illness. Costs of various types were analysed with separate risk-adjusted linear regression models for the last 1, 3, 6, 9 and 12 months before death and for both cohorts. SPC was categorised according to time to death from first contact with the service as 1-7 days, 7-30 days, 30-180 days and more than 180 days.

resultsSPC use was higher among the cancer cohort (30.0%) relative to the non-cancer cohort (4.8%). The mean costs over the final year of life were AU$55,037 (SD 45,059) for the cancer cohort and AU$35,318 (SD 41,948) for the non-cancer cohort. Earlier use of SPC was associated with higher costs over the last year of life but lower costs in the last 1 and 3 months for both cohorts. Initiating SPC use more than 180 days before death was associated with a mean difference relative to the no SPC group of AU$15,590 (95% CI 10,617 to 20,562) and AU$13,739 (95% CI 733 to 26,746) over the last year of life for those dying from cancer and another illness, respectively. The same differences over the last month of life were - AU$2810 (95% CI -  3945 to -  1676) and - AU$4345 (95% CI -  6625 to - 2066). Admitted hospital care was the major driver of costs, with longer SPC associated with lower rates of death in hospital for both cohorts.

conclusionEarly initiation of SPC was associated with higher costs over the last year of life and lower costs over the last months of life. This was the case for both the cancer and non-cancer cohorts, and appeared to be largely attributed to reduced hospitalisation. Although further investigation is required, our results suggest that expanding the availability of SPC services to provide more equitable access could enable patients to spend more time at their usual place of residence, reduce pressure on inpatient services and facilitate death at home when that is preferred.

Identifiers

PMID37910343
PMCPMC10781921

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.