Evidence map›Paper›PMID 27484414›Full record

ArticleBMC palliative care2016

Improving palliative care in selected settings in England using quality indicators: a realist evaluation.

Steve Iliffe, Nathan Davies, Jill Manthorpe, Peter Crome, Sam H Ahmedzai, Myrra Vernooij-Dassen, Yvonne Engels

Open access · goldAbstract read
In one paragraph

Article in BMC palliative care, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
1.2field-weighted citation impact, top 16% of its field
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, 2 syntheses or guidelines pooled it, 17 citations in OpenAlex.

  1. Pooled it
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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

7 authors at 5 institutions in 2 countries.

Steve IliffeResearch Department of Primary Care & Population Health, University College London, Royal Free Campus, Rowland Hill Street, London, NW3 2PF, UK. s.iliffe@ucl.ac.uk.
Nathan DaviesResearch Department of Primary Care & Population Health, University College London, Royal Free Campus, Rowland Hill Street, London, NW3 2PF, UK.
Jill ManthorpeSocial Care Workforce Research Unit, King's College London, Strand, London, WC2B 6NR, UK.
Peter CromeResearch Department of Primary Care & Population Health, University College London, Royal Free Campus, Rowland Hill Street, London, NW3 2PF, UK.
Sam H AhmedzaiDepartment of Oncology and Metabolism, School of Medicine and Biomedical Science, The University of Sheffield, Sheffield, S10 2RX, UK.
Myrra Vernooij-DassenScientific Institute for Quality of Healthcare, Radboud University Medical Centre, 6500 HB, Nijmegen, The Netherlands.
Yvonne EngelsScientific Institute for Quality of Healthcare, Radboud University Medical Centre, 6500 HB, Nijmegen, The Netherlands.
Radboud University Nijmegen · NLThe Royal Free Hospital · GBKing's College London · GBUniversity College London · GBUniversity of Sheffield · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is a gap between readily available evidence of best practice and its use in everyday palliative care. The IMPACT study evaluated the potential of facilitated use of Quality Indicators as tools to improve palliative care in different settings in England.

methods1) Modelling palliative care services and selecting a set of Quality Indicators to form the core of an intervention, 2) Case studies of intervention using the Quality Indicator set supported by an expert in service change in selected settings (general practice, community palliative care teams, care homes, hospital wards, in-patient hospices) with a before-and-after evaluation, and 3) realist evaluation of processes and outcomes across settings. Participants in each setting were supported to identify no more than three Quality Indicators to work on over an eight-month period in 2013/2014.

resultsGeneral practices could not be recruited to the study. Care homes were recruited but not retained. Hospital wards were recruited and retained, and using the Quality Indicator (QI) set achieved some of their desired changes. Hospices and community palliative care teams were able to use the QI set to achieve almost all their desired changes, and develop plans for quality improvements. Improvements included: increasing the utility of electronic medical records, writing a manual for end of life care, establishing working relationships with a hospice; standardising information transfer between settings, holding regular multi-disciplinary team meetings, exploration of family carers' views and experiences; developing referral criteria, and improvement of information transfer at patient discharge to home or to hospital. Realist evaluation suggested that: 1) uptake and use of QIs are determined by organisational orientation towards continuous improvement; 2) the perceived value of a QI package was not powerful enough for GPs and care homes to commit to or sustain involvement; 3) the QI set may have been to narrow in focus, or more specialist than generalist; and 4) the greater the settings' 'top-down' engagement with this change project, the more problematic was its implementation.

conclusionsWhilst use of QIs may facilitate improvements in specialist palliative care services, different QI sets may be needed for generalist care settings.

Indexed as

Patient Care PlanningElectronic Health RecordsEnglandEvidence-Based PracticeFemaleHealth Services for the AgedHospicesHospitalizationHumansMalePalliative CarePatient ComfortQuality Indicators, Health CareQuality of Health CareTerminal CareCancerCare homesDementiaHospicesPalliative carePrimary careQuality improvementQuality indicatorsRealist evaluation

Identifiers

PMID27484414
PMCPMC4970274
OpenAlexW2475874902

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.