Evidence map›Paper›PMID 28364387›Full record

SynthesisThe patient2017

Patients' Preferences for Outcome, Process and Cost Attributes in Cancer Treatment: A Systematic Review of Discrete Choice Experiments.

Daniela R Bien, Marion Danner, Vera Vennedey, Daniele Civello, Silvia M Evers, Mickaël Hiligsmann

Abstract readSystematic Review
In one paragraph

Synthesis in The patient, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 22 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 22 pooled it
–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

57 citing papers in PubMed, 22 syntheses or guidelines pooled it.

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  9. Preferences for Genetic Testing to Predict the Risk of Developing Hereditary Cancer: A Systematic Review of Discrete Choice Experiments.Medical decision making : an international journal of the Society for Medical Decision Making · 2024
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  14. Willingness-to-pay for cancer treatment and outcome: a systematic review.The European journal of health economics : HEPAC : health economics in prevention and care · 2022
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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.

Daniela R BienFaculty of Health Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands.
Marion DannerInstitute of Health Economics and Clinical Epidemiology, University of Cologne, Cologne, Germany.
Vera VennedeyInstitute of Health Economics and Clinical Epidemiology, University of Cologne, Cologne, Germany.
Daniele CivelloInstitute of Health Economics and Clinical Epidemiology, University of Cologne, Cologne, Germany.
Silvia M EversDepartment of Health Services Research, School for Public Health and Primary Care (CAPHRI), Maastricht University, PO Box 6161, 6200 MD, Maastricht, The Netherlands.
Mickaël HiligsmannDepartment of Health Services Research, School for Public Health and Primary Care (CAPHRI), Maastricht University, PO Box 6161, 6200 MD, Maastricht, The Netherlands. m.hiligsmann@maastrichtuniversity.nl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAs several studies have been conducted to elicit patients' preferences for cancer treatment, it is important to provide an overview and synthesis of these studies. This study aimed to systematically review discrete choice experiments (DCEs) about patients' preferences for cancer treatment and assessed the relative importance of outcome, process and cost attributes.

methodsA systematic literature review was conducted using PubMed and EMBASE to identify all DCEs investigating patients' preferences for cancer treatment between January 2010 and April 2016. Data were extracted using a predefined extraction sheet, and a reporting quality assessment was applied to all studies. Attributes were classified into outcome, process and cost attributes, and their relative importance was assessed.

resultsA total of 28 DCEs were identified. More than half of the studies (56%) received an aggregate score lower than 4 on the PREFS (Purpose, Respondents, Explanation, Findings, Significance) 5-point scale. Most attributes were related to outcome (70%), followed by process (25%) and cost (5%). Outcome attributes were most often significant (81%), followed by process (73%) and cost (67%). The relative importance of outcome attributes was ranked highest in 82% of the cases where it was included, followed by cost (43%) and process (12%).

conclusionThis systematic review suggests that attributes related to cancer treatment outcomes are the most important for patients. Process and cost attributes were less often included in studies but were still (but less) important to patients in most studies. Clinicians and decision makers should be aware that attribute importance might be influenced by level selection for that attribute.

Indexed as

Choice BehaviorDecision Support TechniquesPatient PreferenceDecision MakingHumansNeoplasmsOutcome and Process Assessment, Health CarePatient Outcome AssessmentQuality of LifeResearch DesignAttribute IdentificationConjoint AnalysisDiscrete Choice ExperimentOutcome AttributeProcess Attribute

Identifiers

PMID28364387
PMCPMC5605613

What OpenQuestion holds

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LicenceCC BY-NC
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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.