Evidence map›Paper›PMID 26085127›Full record

ArticleThe patient2016

Valuing Preferences for the Process and Outcomes of Clinical Genetics Services: A Pilot Study.

Ewan Gray, Martin Eden, Caroline Vass, Marion McAllister, Jordan Louviere, Katherine Payne

Abstract read
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Article in The patient, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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  3. The Fold-in, Fold-out Design for DCE Choice Tasks: Application to Burden of Disease.Medical decision making : an international journal of the Society for Medical Decision Making · 2019
    Article
  4. Article
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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

6 authors.

Ewan GrayManchester Centre for Health Economics, The University of Manchester, Jean McFarlane Building, Oxford Road, Manchester, M13 9PL, UK.
Martin EdenManchester Centre for Health Economics, The University of Manchester, Jean McFarlane Building, Oxford Road, Manchester, M13 9PL, UK.
Caroline VassManchester Centre for Health Economics, The University of Manchester, Jean McFarlane Building, Oxford Road, Manchester, M13 9PL, UK.
Marion McAllisterInstitute of Cancer and Genetics, Cardiff University, Cardiff, UK.
Jordan LouviereInstitute for Choice, University of South Australia, Sydney, Australia.
Katherine PayneManchester Centre for Health Economics, The University of Manchester, Jean McFarlane Building, Oxford Road, Manchester, M13 9PL, UK. Katherine.payne@manchester.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUnderstanding preferences for the process and outcomes of clinical genetics services (CGS) is a first step to developing these services appropriately.

aimThe aim of this study was to quantify the relative importance of attributes defining the process of service delivery and the patient outcomes of CGS.

methodsAn online hybrid conjoint analysis discrete choice experiment (CA-DCE) was piloted in a purposive sample (n = 37) of CGS patients and non-patients to identify (i) service attributes (n = 13) perceived to facilitate informed decision making; (ii) relative preferences for six attributes (5 process, 1 outcome: ability to make an informed decision). A three-step approach was taken to link the data from the CA-DCE using hierarchical information integration and ordered logit and multinomial logit models. Marginal willingness-to-pay (WTP) values were calculated.

resultsServices that facilitate informed decision making, with shorter waiting times and involving pre-consultation contact were preferred. Estimated WTP values were: service location (£3170; 95% CI -391 to 15,098); waiting time (-£1080; 95% CI -3659 to -603); pre-consultation contact (£7765; 95% CI 2542-33,937); improved informed decision making (£2254; 95% CI 775-9866).

conclusionThis study suggests that hybrid stated preference experiments offer a practical solution to understanding preferences for how CGS services are delivered.

Indexed as

Choice BehaviorDecision MakingGenetic ServicesHealth Services ResearchHumansInternetOutcome and Process Assessment, Health CarePatient PreferencePilot ProjectsState MedicineSurveys and QuestionnairesUnited Kingdom

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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.