Evidence map›Paper›PMID 30252888›Full record

ArticlePloS one2018

Technical-efficiency analysis of end-of-life care in long-term care facilities within Europe: A cross-sectional study of deceased residents in 6 EU countries (PACE).

Anne B Wichmann, Eddy M M Adang, Kris C P Vissers, Katarzyna Szczerbińska, Marika Kylänen, Sheila Payne, Giovanni Gambassi, Bregje D Onwuteaka-Philipsen, Tinne Smets, Lieve Van den Block and 4 more

Erratum issuedAbstract read
In one paragraph

Article in PloS one, 2018. 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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Anne B WichmannRadboud University Medical Center, Radboud Institute for Health Sciences, IQ healthcare, Nijmegen, The Netherlands.ORCID 0000-0003-0085-9782
Eddy M M AdangRadboud University Medical Center, Department for Health Evidence, Nijmegen, The Netherlands.
Kris C P VissersRadboud University Medical Center, Department of Anesthesiology, Pain and Palliative Medicine, Nijmegen, The Netherlands.
Katarzyna SzczerbińskaUnit for Research on Aging Society, Epidemiology and Preventive Medicine Chair, Jagiellonian University Medical College, Kraków, Poland.
Marika KylänenNational Institute for Health and Welfare, Helsinki, Finland.
Sheila PayneDivision of Health Research, Lancaster University, Lancaster, England.
Giovanni GambassiFaculty of Medicine and Surgery, Università Cattolica del Sacro Cuore, Rome, Italy.
Bregje D Onwuteaka-PhilipsenVUmc, Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands.
Tinne SmetsEnd-of-Life Care Research Group, Vrije Universiteit Brussel & Ghent University, Brussels, Belgium.
Lieve Van den BlockEnd-of-Life Care Research Group, Vrije Universiteit Brussel & Ghent University, Brussels, Belgium.
Luc DeliensEnd-of-Life Care Research Group, Vrije Universiteit Brussel & Ghent University, Brussels, Belgium.
Myrra J F J Vernooij-DassenRadboud University Medical Center, Radboud Institute for Health Sciences, IQ healthcare, Nijmegen, The Netherlands.
Yvonne EngelsRadboud University Medical Center, Department of Anesthesiology, Pain and Palliative Medicine, Nijmegen, The Netherlands.
PACE consortium

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAn ageing population in the EU leads to a higher need of long-term institutional care at the end of life. At the same time, healthcare costs rise while resources remain limited. Consequently, an urgency to extend our knowledge on factors affecting efficiency of long-term care facilities (LTCFs) arises. This study aims to investigate and explain variation in technical efficiency of end-of-life care within and between LTCFs of six EU countries: Belgium (Flanders), England, Finland, Italy, the Netherlands and Poland. In this study, technical efficiency reflects the LTCFs' ability to obtain maximal quality of life (QoL) and quality of dying (QoD) for residents from a given set of resource inputs (personnel and capacity).

methodsCross-sectional data were collected by means of questionnaires on deceased residents identified by LTCFs over a three-month period. An output-oriented data-envelopment analysis (DEA) was performed, producing efficiency scores, incorporating personnel and capacity as input and QoL and QoD as output. Scenario analysis was conducted. Regression analysis was performed on explanatory (country, LTCF type, ownership, availability of palliative care and opioids) and case mix (disease severity) variables.

results133 LTCFs of only one type (onsite nurses and offsite GPs) were considered in order to reduce heterogeneity. Variation in LTCF efficiency was found across as well as within countries. This variation was not explained by country, ownership, availability of palliative care or opioids. However, in the 'hands-on care at the bedside' scenario, i.e. only taking into account nursing and care assistants as input, Poland (p = 0.00) and Finland (p = 0.04) seemed to be most efficient.

conclusionsEfficiency of LTCFs differed extensively across as well as within countries, indicating room for considerable efficiency improvement. Our findings should be interpreted cautiously, as comprehensive comparative EU-wide research is challenging as it is influenced by many factors.

Indexed as

European UnionLong-Term CareTerminal CareBiasCross-Sectional StudiesEuropeHumansRegression Analysis

Identifiers

PMID30252888
PMCPMC6155520

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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.