Evidence map›Paper›PMID 37024852›Full record

ArticleBMC palliative care2023

The impact of the COVID-19 pandemic on processes, resource use and cost in palliative care.

Farina Hodiamont, Caroline Schatz, Eva Schildmann, Zulfiya Syunyaeva, Katerina Hriskova, Constanze Rémi, Reiner Leidl, Susanne Tänzler, Claudia Bausewein

Erratum issuedAbstract read
In one paragraph

Article in BMC palliative care, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Assessment and monitoring by Integrated Palliative care Outcome Scale: an observational study on cancer patients at home.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
    Observational
  2. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Farina HodiamontDepartment of Palliative Medicine, University Hospital, LMU Munich, Munich, Germany. farina.hodiamont@med.uni-muenchen.de.
Caroline SchatzHelmholtz Zentrum München, Institute of Health Economics and Health Care Management, Munich, Germany.
Eva SchildmannDepartment of Palliative Medicine, University Hospital, LMU Munich, Munich, Germany.
Zulfiya SyunyaevaCharité Universitätsmedizin Berlin, Department of Pediatric Respiratory Medicine, Immunology and Critical Care Medicine and Cystic Fibrosis Center, Berlin, Germany.
Katerina HriskovaDepartment of Palliative Medicine, University Hospital, LMU Munich, Munich, Germany.
Constanze RémiDepartment of Palliative Medicine, University Hospital, LMU Munich, Munich, Germany.
Reiner LeidlHelmholtz Zentrum München, Institute of Health Economics and Health Care Management, Munich, Germany.
Susanne TänzlerDepartment of Palliative Medicine, University Hospital, LMU Munich, Munich, Germany.
Claudia BauseweinDepartment of Palliative Medicine, University Hospital, LMU Munich, Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic impacts on working routines and workload of palliative care (PC) teams but information is lacking how resource use and associated hospital costs for PC changed at patient-level during the pandemic. We aim to describe differences in patient characteristics, care processes and resource use in specialist PC (PC unit and PC advisory team) in a university hospital before and during the first pandemic year.

methodsRetrospective, cross-sectional study using routine data of all patients cared for in a PC unit and a PC advisory team during 10-12/2019 and 10-12/2020. Data included patient characteristics (age, sex, cancer/non-cancer, symptom/problem burden using Integrated Palliative Care Outcome Scale (IPOS)), information on care episode, and labour time calculated in care minutes. Cost calculation with combined top-down bottom-up approach with hospital's cost data from 2019. Descriptive statistics and comparisons between groups using parametric and non-parametric tests.

resultsInclusion of 55/76 patient episodes in 2019/2020 from the PC unit and 135/120 episodes from the PC advisory team, respectively. IPOS scores were lower in 2020 (PCU: 2.0 points; PC advisory team: 3.0 points). The number of completed assessments differed considerably between years (PCU: episode beginning 30.9%/54.0% in 2019/2020; PC advisory team: 47.4%/40.0%). Care episodes were by one day shorter in 2020 in the PC advisory team. Only slight non-significant differences were observed regarding total minutes/day and patient (PCU: 150.0/141.1 min., PC advisory team: 54.2/66.9 min.). Staff minutes showed a significant decrease in minutes spent in direct contact with relatives (PCU: 13.9/7.3 min/day in 2019/2020, PC advisory team: 5.0/3.5 min/day). Costs per patient/day decreased significantly in 2020 compared to 2019 on the PCU (1075 Euro/944 Euro for 2019/2020) and increased significantly for the PC advisory team (161 Euro/200 Euro for 2019/2020). Overhead costs accounted for more than two thirds of total costs. Direct patient cost differed only slightly (PCU: 134.7 Euro/131.1 Euro in 2019/2020, PC advisory team: 54.4 Euro/57.3 Euro).

conclusionsThe pandemic partially impacted on daily work routines, especially on time spent with relatives and palliative care problem assessments. Care processes and quality of care might vary and have different outcomes during a crisis such as the COVID-19 pandemic. Direct costs per patient/day were comparable, regardless of the pandemic.

Indexed as

COVID-19Palliative CareCross-Sectional StudiesHealth Care CostsHospitalizationHumansPandemicsRetrospective StudiesCost comparisonCostsCovid-19Palliative carePandemicQuality of careResource comparisonResources

Identifiers

PMID37024852
PMCPMC10077306

What OpenQuestion holds

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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.