Evidence map›Paper›PMID 26810994›Full record

ArticleBMJ open2016

Eliciting patient preferences, priorities and trade-offs for outcomes following kidney transplantation: a pilot best-worst scaling survey.

Martin Howell, Germaine Wong, John Rose, Allison Tong, Jonathan C Craig, Kirsten Howard

Abstract readEvaluation Study
In one paragraph

Article in BMJ open, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

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

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Assessment of kidney transplant suitability for patients with prior cancers: is it time for a rethink?Transplant international : official journal of the European Society for Organ Transplantation · 2019
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Opportunities for Engaging Patients in Kidney Research.Canadian journal of kidney health and disease · 2017
    Review
  10. Article
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

6 authors.

Martin HowellCentre for Kidney Research, The Children's Hospital at Westmead, Westmead, New South Wales, Australia School of Public Health, The University of Sydney, Sydney, New South Wales, Australia.
Germaine WongCentre for Kidney Research, The Children's Hospital at Westmead, Westmead, New South Wales, Australia School of Public Health, The University of Sydney, Sydney, New South Wales, Australia Centre for Transplant and Renal Research, Westmead Hospital, Westmead, New South Wales, Australia.
John RoseInstitute for Choice, University of South Australia Business School, North Sydney, New South Wales, Australia.
Allison TongCentre for Kidney Research, The Children's Hospital at Westmead, Westmead, New South Wales, Australia School of Public Health, The University of Sydney, Sydney, New South Wales, Australia.
Jonathan C CraigCentre for Kidney Research, The Children's Hospital at Westmead, Westmead, New South Wales, Australia School of Public Health, The University of Sydney, Sydney, New South Wales, Australia.
Kirsten HowardSchool of Public Health, The University of Sydney, Sydney, New South Wales, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesEliciting preferences and trade-offs that patients may make to achieve important outcomes, can assist in developing patient-centred research and care. The pilot study aimed to test the feasibility of a case 2 best-worst scaling survey (BWS) to elicit recipient with kidney transplantation preferences after transplantation.

designPreferences for graft survival and dying, cancer, cardiovascular disease, diabetes, infection and side effects (gastrointestinal, weight-gain and appearance) were assessed in recipients with transplantation using a BWS (20 scenarios of nine outcomes). Participants chose 'best' and 'worst' outcomes. Responses were analysed using a multinomial logit model. Selected participants were interviewed. OUTCOMES: Attribute coefficients and survey completion error rates.

results81 recipients with transplantation were approached, and 39 (48%), mean age 50.5 years, completed the BWS. 4 (10%) surveys were invalid with major errors and of 35 remaining, 7 of 1400 (0.5%) choices were missing. -23 (59%) took >20 min to complete the survey. 1 was unable to finish, and 1 did not understand the survey. 2 (5%) found it very hard and 14 (35%) moderately hard. Most attribute coefficients were significant (p<0.05) and showed face validity. Graft survival was most important with normalised coefficients from 1 (95% CI 0.89 to 1.11) to 0.06 (95% CI -0.03 to 0.16) for 30 and 1 year duration, respectively. Attribute level coefficients decreased with increasing risk of adverse outcomes. Error rates of 20% and 2% were estimated for dominant attributes '100% risk of dying' and '30 years graft survival', respectively. 7 participants were interviewed regarding counterintuitive selection of '100% risk of dying' as a 'best' outcome. Misunderstanding, not linking dying to graft survival and aversion to dialysis were reasons given.

conclusionsRecipients with transplant recipients successfully completed a complex case 2 BWS with attribute coefficients having face validity with respect to duration of graft survival and risk of adverse outcomes. Areas for refinement to reduce complexity in design have been identified.

Indexed as

Choice BehaviorKidney TransplantationPatient PreferenceSurveys and QuestionnairesAdultAgedFeasibility StudiesFemaleHumansMaleMiddle AgedPatient-Centered CarePilot ProjectsYoung AdultHEALTH ECONOMICSSTATISTICS & RESEARCH METHODSTRANSPLANT MEDICINE

Identifiers

PMID26810994
PMCPMC4735165

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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.