Evidence map›Paper›PMID 30349423›Full record

ArticleCost effectiveness and resource allocation : C/E2018

A pilot study on patient-related costs and factors associated with the cost of specialist palliative care in the hospital: first steps towards a patient classification system in Germany.

Christian Becker, Reiner Leidl, Eva Schildmann, Farina Hodiamont, Claudia Bausewein

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Article in Cost effectiveness and resource allocation : C/E, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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5citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
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  5. Critique of the Peaceful End-of-Life Theory Using Meleis' 2012 Approach.Iranian journal of nursing and midwifery research
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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Christian Becker1Institute of Health Economics and Health Care Management, Helmholtz Zentrum München-German Research Center for Environmental Health, Ingolstädter Landstraße 1, 85758 Neuherberg, Germany.ORCID 0000-0002-8212-1433
Reiner Leidl1Institute of Health Economics and Health Care Management, Helmholtz Zentrum München-German Research Center for Environmental Health, Ingolstädter Landstraße 1, 85758 Neuherberg, Germany.
Eva SchildmannDepartment of Palliative Medicine, University Hospital, Ludwig-Maximilians-Universität München, Munich, Germany.
Farina HodiamontDepartment of Palliative Medicine, University Hospital, Ludwig-Maximilians-Universität München, Munich, Germany.
Claudia BauseweinDepartment of Palliative Medicine, University Hospital, Ludwig-Maximilians-Universität München, Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSpecialist palliative care in the hospital addresses a heterogeneous patient population with complex care needs. In Germany, palliative care patients are classified based on their primary diagnosis to determine reimbursement despite findings that other factors describe patient needs better. To facilitate adequate resource allocation in this setting, in Australia and in the UK important steps have been undertaken towards identifying drivers of palliative care resource use and classifying patients accordingly. We aimed to pioneer patient classification based on determinants of resource use relevant to specialist palliative care in Germany first, by calculating the patient-level cost of specialist palliative care from the hospital's perspective, based on the recorded resource use and, subsequently, by analysing influencing factors.

methodsCross-sectional study of consecutive patients who had an episode of specialist palliative care in Munich University Hospital between 20 June and 4 August, 2016. To accurately reflect personnel intensity of specialist palliative care, aside from administrative data, we recorded actual use of all involved health professionals' labour time at patient level. Factors influencing episode costs were assessed using generalized linear regression and LASSO variable selection.

resultsThe study included 144 patients. Mean costs of specialist palliative care per palliative care unit episode were 6542€ (median: 5789€, SE: 715€) and 823€ (median: 702€, SE: 31€) per consultation episode. Based on multivariate models that considered both variables recorded at beginning and at the end of episode, we identified factors explaining episode cost including phase of illness, Karnofsky performance score, and type of discharge.

conclusionsThis study is an important step towards patient classification in specialist palliative care in Germany as it provides a feasible patient-level costing method and identifies possible starting points for classification. Application to a larger sample will allow for meaningful classification of palliative patients.

Indexed as

Health care costPalliative carePatient classificationResource use

Identifiers

PMID30349423
PMCPMC6192371

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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.