Evidence map›Paper›PMID 29622004›Full record

ArticleBMC palliative care2018

Redefining diagnosis-related groups (DRGs) for palliative care - a cross-sectional study in two German centres.

Matthias Vogl, Eva Schildmann, Reiner Leidl, Farina Hodiamont, Helen Kalies, Bernd Oliver Maier, Marcus Schlemmer, Susanne Roller, Claudia Bausewein

Abstract read
In one paragraph

Article in BMC palliative care, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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

  1. Pooled it
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  10. Critique of the Peaceful End-of-Life Theory Using Meleis' 2012 Approach.Iranian journal of nursing and midwifery research
    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

9 authors.

Matthias VoglHelmholtz Zentrum Munich, German Research Center for Environmental Health, Institute of Health Economics and Health Care Management, Munich, Germany.
Eva SchildmannMunich University Hospital, Department of Palliative Medicine, Ludwig-Maiximilians-Universitaet Munich, Marchioninistr. 15, 81377, Munich, Germany. eva.schildmann@med.uni-muenchen.de.ORCID http://orcid.org/0000-0001-9756-9954
Reiner LeidlHelmholtz Zentrum Munich, German Research Center for Environmental Health, Institute of Health Economics and Health Care Management, Munich, Germany.
Farina HodiamontMunich University Hospital, Department of Palliative Medicine, Ludwig-Maiximilians-Universitaet Munich, Marchioninistr. 15, 81377, Munich, Germany.
Helen KaliesMunich University Hospital, Department of Palliative Medicine, Ludwig-Maiximilians-Universitaet Munich, Marchioninistr. 15, 81377, Munich, Germany.
Bernd Oliver MaierSt. Josephs-Hospital, Department of Palliative Medicine and Interdisciplinary Oncology, Wiesbaden, Germany.
Marcus SchlemmerKrankenhaus Barmherzige Brüder Munich, Department of Palliative Medicine, Munich, Germany.
Susanne RollerKrankenhaus Barmherzige Brüder Munich, Department of Palliative Medicine, Munich, Germany.
Claudia BauseweinMunich University Hospital, Department of Palliative Medicine, Ludwig-Maiximilians-Universitaet Munich, Marchioninistr. 15, 81377, Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHospital costs and cost drivers in palliative care are poorly analysed. It remains unknown whether current German Diagnosis-Related Groups, mainly relying on main diagnosis or procedure, reproduce costs adequately. The aim of this study was therefore to analyse costs and reimbursement for inpatient palliative care and to identify relevant cost drivers.

methodsTwo-center, standardised micro-costing approach with patient-level cost calculations and analysis of the reimbursement situation for patients receiving palliative care at two German hospitals (7/2012-12/2013). Data were analysed for the total group receiving hospital care covering, but not exclusively, palliative care (group A) and the subgroup receiving palliative care only (group B). Patient and care characteristics predictive of inpatient costs of palliative care were derived by generalised linear models and investigated by classification and regression tree analysis.

resultsBetween 7/2012 and 12/2013, 2151 patients received care in the two hospitals including, but not exclusively, on the PCUs (group A). In 2013, 784 patients received care on the two PCUs only (group B). Mean total costs per case were € 7392 (SD 7897) (group A) and € 5763 (SD 3664) (group B), mean total reimbursement per case € 5155 (SD 6347) (group A) and € 4278 (SD 2194) (group B). For group A/B on the ward, 58%/67% of the overall costs and 48%/53%, 65%/82% and 64%/72% of costs for nursing, physicians and infrastructure were reimbursed, respectively. Main diagnosis did not significantly influence costs. However, duration of palliative care and total length of stay were (related to the cost calculation method) identified as significant cost drivers.

conclusionsRelated to the cost calculation method, total length of stay and duration of palliative care were identified as significant cost drivers. In contrast, main diagnosis did not reflect costs. In addition, results show that reimbursement within the German Diagnosis-Related Groups system does not reproduce the costs adequately, but causes a financing gap for inpatient palliative care.

Indexed as

AgedAged, 80 and overCosts and Cost AnalysisCross-Sectional StudiesDiagnosis-Related GroupsFemaleGermanyHealth Care CostsHumansMaleMiddle AgedMultivariate AnalysisPalliative CareCosts and cost analysisDiagnosis related groupsDRGPalliative carePalliative care fundingReimbursement

Identifiers

PMID29622004
PMCPMC5887171

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Registered trials

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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.