Literature DB >> 26470876

Cost trajectories from the final life year reveal intensity of end-of-life care and can help to guide palliative care interventions.

Viktor von Wyl1,2, Harry Telser3, Andreas Weber4, Barbara Fischer3,5, Konstantin Beck2,6.   

Abstract

OBJECTIVE: Exploration of healthcare utilisation patterns in the final life year to assess palliative care potential.
METHODS: Retrospective cluster analyses (k-means) of anonymised healthcare expenditure (HCE) trajectories, derived from health insurance claims of a representative sample of Swiss decedents who died between 2008 and 2010 (2 age classes: 4818 <66 years, 22 691 elderly).
RESULTS: 3 (<66 years) and 5 (elderly) trajectory groups were identified, whose shapes were dominated by HCE from inpatient care in hospitals and at nursing homes. In each age class, the most expensive group (average cumulative HCE for <66 years: SFr 84 295; elderly: SFr 84 941) also had the largest abundance of cancers (<66 years: 55%; elderly: 32%) and showed signs of continued treatment intensification until shortly before death. Although sizes of these high-cost groups were comparatively small (26% in younger; 6% in elderly), they contributed substantially to the end-of-life HCE in each age class (62% and 18%, respectively).As age increased, these potential target groups for palliative care gained in share among <66-year olds (from 9% in children to 28% in 60-65-year olds), but decreased from 17% (66-70-year olds) to 1% (>90-year olds) among elderly.
CONCLUSIONS: Cost trajectory clustering is well suited for first-pass population screenings of groups that warrant closer inspection to improve end-of-life healthcare allocation. The Swiss data suggest that many decedents undergo intensive medical treatment until shortly before death. Investigations into the clinical circumstances and motives of patients and physicians may help to guide palliative care. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

Entities:  

Keywords:  Clinical decisions; Methodological research; Service evaluation; Terminal care

Mesh:

Year:  2015        PMID: 26470876     DOI: 10.1136/bmjspcare-2014-000784

Source DB:  PubMed          Journal:  BMJ Support Palliat Care        ISSN: 2045-435X            Impact factor:   3.568


  8 in total

Review 1.  Linking Quality and Spending to Measure Value for People with Serious Illness.

Authors:  Andrew M Ryan; Phillip E Rodgers
Journal:  J Palliat Med       Date:  2017-11-01       Impact factor: 2.947

2.  Medicare Beneficiaries With Advanced Lung Cancer Experience Diverse Patterns Of Care From Diagnosis To Death.

Authors:  Megan S Schuler; Nina R Joyce; Haiden A Huskamp; Elizabeth B Lamont; Laura A Hatfield
Journal:  Health Aff (Millwood)       Date:  2017-07-01       Impact factor: 6.301

3.  Proximity to death and health care expenditure increase revisited: A 15-year panel analysis of elderly persons.

Authors:  Viktor von Wyl
Journal:  Health Econ Rev       Date:  2019-03-11

4.  Variability of cost trajectories over the last year of life in patients with advanced breast cancer in the Netherlands.

Authors:  Paul P Schneider; Xavier G L V Pouwels; Valéria Lima Passos; Bram L T Ramaekers; Sandra M E Geurts; Khava I E Ibragimova; Maaike de Boer; Frans Erdkamp; Birgit E P J Vriens; Agnes J van de Wouw; Marien O den Boer; Manon J Pepels; Vivianne C G Tjan-Heijnen; Manuela A Joore
Journal:  PLoS One       Date:  2020-04-09       Impact factor: 3.240

5.  Going beyond the mean: economic benefits of myocardial infarction secondary prevention.

Authors:  Viktor von Wyl; Agne Ulyte; Wenjia Wei; Dragana Radovanovic; Oliver Grübner; Beat Brüngger; Caroline Bähler; Eva Blozik; Holger Dressel; Matthias Schwenkglenks
Journal:  BMC Health Serv Res       Date:  2020-12-04       Impact factor: 2.655

6.  Health care expenditure in the last five years of life is driven by morbidity, not age: A national study of spending trajectories in Danish decedents over age 65.

Authors:  Anne Vinkel Hansen; Laust Hvas Mortensen; Stella Trompet; Rudi Westendorp
Journal:  PLoS One       Date:  2020-12-18       Impact factor: 3.240

7.  Regional Variation of Cost of Care in the Last 12 Months of Life in Switzerland: Small-area Analysis Using Insurance Claims Data.

Authors:  Radoslaw Panczak; Xhyljeta Luta; Maud Maessen; Andreas E Stuck; Claudia Berlin; Kurt Schmidlin; Oliver Reich; Viktor von Wyl; David C Goodman; Matthias Egger; Marcel Zwahlen; Kerri M Clough-Gorr
Journal:  Med Care       Date:  2017-02       Impact factor: 2.983

8.  Death at no cost? Persons with no health insurance claims in the last year of life in Switzerland.

Authors:  Radoslaw Panczak; Viktor von Wyl; Oliver Reich; Xhyljeta Luta; Maud Maessen; Andreas E Stuck; Claudia Berlin; Kurt Schmidlin; David C Goodman; Matthias Egger; Kerri Clough-Gorr; Marcel Zwahlen
Journal:  BMC Health Serv Res       Date:  2018-03-14       Impact factor: 2.655

  8 in total

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