Evidence map›Paper›PMID 30349204›Full record

ArticlePatient preference and adherence2018

How do parents and providers trade-off between disability and survival? Preferences in the treatment of pediatric medulloblastoma.

Amir Khakban, Tima Mohammadi, Larry D Lynd, Don J Mabbott, Eric Bouffet, Louise Gastonguay, Zafar Zafari, David Malkin, Michael D Taylor, Carlo A Marra

Abstract read
In one paragraph

Article in Patient preference and adherence, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Amir KhakbanCollaboration for Outcomes Research and Evaluation, Faculty of Pharmaceutical Sciences, The University of British Columbia, Vancouver, BC, Canada.
Tima MohammadiCentre for Health Evaluation and Outcome Sciences, University of British Columbia, St Paul's Hospital, Vancouver, BC, Canada.
Larry D LyndCollaboration for Outcomes Research and Evaluation, Faculty of Pharmaceutical Sciences, The University of British Columbia, Vancouver, BC, Canada.
Don J MabbottDepartment of Psychology, University of Toronto, Toronto, ON, Canada.
Eric BouffetDepartment of Pediatrics, University of Toronto, Toronto, ON, Canada.
Louise GastonguayCollaboration for Outcomes Research and Evaluation, Faculty of Pharmaceutical Sciences, The University of British Columbia, Vancouver, BC, Canada.
Zafar ZafariHealth Policy and Management, Mailman School of Public Health, Columbia University, New York, NY, USA.
David MalkinDepartment of Pediatrics, University of Toronto, Toronto, ON, Canada.
Michael D TaylorDepartments of Surgery, Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada.
Carlo A MarraSchool of Pharmacy, University of Otago, Dunedin, New Zealand, carlo.marra@otago.ac.nz.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim of this study was to determine the preferences of parents with children with medulloblastoma and clinicians who manage this condition and their trade-offs between survival and disability using a best-worst scaling (BWS) choice experiment.

methodsMixed methods were used to develop a BWS tool. Health professionals involved in the care of medulloblastoma patients were contacted through oncology networks in Canada. Parents of children diagnosed with brain tumors were recruited via two clinics in Vancouver and Toronto. The profile case BWS was used with each participant completing 12 choice profiles with the respondent indicating the best and worst features of each profile. Surveys were stratified into good, moderate, and poor prognosis based on the probability of survival presented. Paired model conditional logit analysis was used to generate quantitative preferences.

resultsFifty-four parents (80% female) and 176 providers (36% female, 79% oncologists) participated in this study. There were many similarities in the parents' and providers' preferences for treatment although the parents tended to value survival higher than disability while providers seemed to value the opposite. Specifically, providers were willing to take more risk of recurrence in a child with good prognosis compared to intermediate and poor prognosis. Also, parents were less willing to take more survival risks than providers when they had to trade-off between mild disability and survival rate.

conclusionThis study provides useful insights into the preferences of parents and health care providers, the stakeholders of a collaborative decision for the treatment of pediatric medullo-blastoma, and compares their values and trade-offs between different levels of survival and disability.

Indexed as

best–worst scalingBWScancermedulloblastomapreferencetrade-off

Identifiers

PMID30349204
PMCPMC6188209

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LicenceCC BY-NC
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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.