Evidence map›Paper›PMID 35676002›Full record

ArticleBMJ open2022

Intervening to eliminate the centre-effect variation in home dialysis use: protocol for Inter-CEPt-a sequential mixed-methods study designing an intervention bundle.

Maatla Tshimologo, Kerry Allen, David Coyle, Sarah Damery, Lisa Dikomitis, James Fotheringham, Harry Hill, Mark Lambie, Louise Phillips-Darby, Ivonne Solis-Trapala and 2 more

Abstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. The future of peritoneal dialysis.Clinical kidney journal · 2024
    Article
  7. Article
  8. 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

12 authors.

Maatla TshimologoRenal Research Group, School of Medicine, Keele University, Keele, UK.
Kerry AllenHealth Services Management Centre, University of Birmingham, Birmingham, UK.
David CoyleNIHR Devices for Dignity MedTech Co-operative, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK.
Sarah DameryInstitute of Applied Health Research, University of Birmingham, Birmingham, UK.
Lisa DikomitisRenal Research Group, School of Medicine, Keele University, Keele, UK.ORCID 0000-0002-5752-3270
James FotheringhamSchool of Health and Related Research, University of Sheffield, Sheffield, UK.
Harry HillSchool of Health and Related Research, University of Sheffield, Sheffield, UK.
Mark LambieRenal Research Group, School of Medicine, Keele University, Keele, UK.
Louise Phillips-DarbyRenal Research Group, School of Medicine, Keele University, Keele, UK.
Ivonne Solis-TrapalaRenal Research Group, School of Medicine, Keele University, Keele, UK.ORCID 0000-0002-1264-1396
Iestyn WilliamsHealth Services Management Centre, University of Birmingham, Birmingham, UK.
Simon J DaviesRenal Research Group, School of Medicine, Keele University, Keele, UK s.j.davies@keele.ac.uk.ORCID 0000-0001-5127-4755

Funding

Department of HealthMedical Research Council MC_EX_G0701642/2
6 · The paper itself

Abstract

introductionUse of home dialysis by centres in the UK varies considerably and is decreasing despite attempts to encourage greater use. Knowing what drives this unwarranted variation requires in-depth understanding of centre cultural and organisational factors and how these relate to quantifiable centre performance, accounting for competing treatment options. This knowledge will be used to identify components of a practical and feasible intervention bundle ensuring this is realistic and cost-effective. METHODS AND ANALYSIS: Underpinned by the non-adoption, abandonment, scale-up, spread and sustainability framework, our research will use an exploratory sequential mixed-methods approach. Insights from multisited focused team ethnographic and qualitative research at four case study sites will inform development of a national survey of 52 centres. Survey results, linked to patient-level data from the UK Renal Registry, will populate a causal graph describing patient and centre-level factors, leading to uptake of home dialysis and multistate models incorporating patient-level treatment modality history and mortality. This will inform a contemporary economic evaluation of modality cost-effectiveness that will quantify how modification of factors facilitating home dialysis, identified from the ethnography and survey, might yield the greatest improvements in costs, quality of life and numbers on home therapies. Selected from these factors, using the capability, opportunity and motivation for behaviour change framework (COM-B) for intervention design, the optimal intervention bundle will be developed through workshops with patients and healthcare professionals to ensure acceptability and feasibility. Patient and public engagement and involvement is embedded throughout the project. ETHICS AND DISSEMINATION: Ethics approval has been granted by the Health Research Authority reference 20-WA-0249. The intervention bundle will comprise components for all stake holder groups: commissioners, provider units, recipients of dialysis, their caregivers and families. To reache all these groups, a variety of knowledge exchange methods will be used: short guides, infographics, case studies, National Institute for Health and Care Excellence guidelines, patient conferences, 'Getting it Right First Time' initiative, Clinical Reference Group (dialysis).

Indexed as

Hemodialysis, HomeRenal DialysisCaregiversHumansQualitative ResearchQuality of LifeDialysisEnd stage renal failureHEALTH ECONOMICSNephrologySTATISTICS & RESEARCH METHODS

Identifiers

PMID35676002
PMCPMC9189878

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.