Evidence map›Paper›PMID 36721848›Full record

ArticleInternational journal of population data science2023

Variation in hospital cost trajectories at the end of life by age, multimorbidity and cancer type.

Katharina Diernberger, Xhyljeta Luta, Joanna Bowden, Joanne Droney, Elizabeth Lemmon, Giovanni Tramonti, Bethany Shinkins, Ewan Gray, Joachim Marti, Peter S Hall

Abstract read
In one paragraph

Article in International journal of population data science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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. Article
  2. Article
  3. Article
  4. Review
  5. Cost consequences of unscheduled emergency admissions in cancer patients in the last year of life.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2023
    Article
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

10 authors.

Katharina DiernbergerEdinburgh Clinical Trials Unit, University of Edinburgh, United Kingdom.
Xhyljeta LutaCentre for Primary Care and Public Health (Unisanté), University of Lausanne, Switzerland.
Joanna BowdenNHS Fife, Scotland, United Kingdom.
Joanne DroneyThe Royal Marsden NHS Foundation Trust, London, United Kingdom.
Elizabeth LemmonEdinburgh Clinical Trials Unit, University of Edinburgh, United Kingdom.
Giovanni TramontiEdinburgh Clinical Trials Unit, University of Edinburgh, United Kingdom.
Bethany ShinkinsAcademic Unit of Health Economics, University of Leeds, United Kingdom.
Ewan GrayEdinburgh Clinical Trials Unit, University of Edinburgh, United Kingdom.
Joachim MartiCentre for Primary Care and Public Health (Unisanté), University of Lausanne, Switzerland.
Peter S HallEdinburgh Clinical Trials Unit, University of Edinburgh, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Approximately thirty thousand people in Scotland are diagnosed with cancer annually, of whom a third live less than one year. The timing, nature and value of hospital-based healthcare for patients with advanced cancer are not well understood. The study's aim was to describe the timing and nature of hospital-based healthcare use and associated costs in the last year of life for patients with a cancer diagnosis. Methods: We undertook a Scottish population-wide administrative data linkage study of hospital-based healthcare use for individuals with a cancer diagnosis, who died aged 60 and over between 2012 and 2017. Hospital admissions and length of stay (LOS), as well as the number and nature of outpatient and day case appointments were analysed. Generalised linear models were used to adjust costs for age, gender, socioeconomic deprivation status, rural-urban (RU) status and comorbidity. Results: The study included 85,732 decedents with a cancer diagnosis. For 64,553 (75.3%) of them, cancer was the primary cause of death. Mean age at death was 80.01 (SD 8.15) years. The mean number of inpatient stays in the last year of life was 5.88 (SD 5.68), with a mean LOS of 7 days. Admission rates rose sharply in the last month of life. One year adjusted and unadjusted costs decreased with increasing age. A higher comorbidity burden was associated with higher costs. Major cost differences were present between cancer types. Conclusions: People in Scotland in their last year of life with cancer are high users of secondary care. Hospitalisation accounts for a high proportion of costs, particularly in the last month of life. Further research is needed to examine triggers for hospitalisations and to identify influenceable reasons for unwarranted variation in hospital use among different cancer cohorts.

Indexed as

MultimorbidityNeoplasmsAgedAged, 80 and overDeathHospital CostsHospitalizationHumansMiddle Agedcancercostsend of life carehealthcare usesecondary care

Identifiers

PMID36721848
PMCPMC9871727

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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.