Literature DB >> 27856826

The Influence of Varying Cost Formats on Preferences.

Charles Changchuan Jiang1, Liana Fraenkel1.   

Abstract

BACKGROUND: Numerous studies have found that cost strongly influences patients' decision making. The objective of this study was to explore the impact of varying cost formats on patients' preferences.
METHODS: Mechanical Turk workers completed a choice-based conjoint (CBC) survey. The CBC survey was designed to examine stated preferences for the use of second-line agents to treat diabetes across 5 attributes: route of administration, efficacy, risk of low blood sugar, frequency of checking blood sugar levels, and cost. We developed 7 versions of the CBC survey that were identical except for the cost attribute. We described cost in terms of: Affordability, Monthly Co-pay, Dollar Sign Rating, How Expensive, or How Cheap compared with other medications, Working Hours Equivalent (per mo) and Percent of Monthly Income. The resulting part-worth utilities were used to calculate the relative importance of cost and to estimate treatment preferences for exenatide, a sulfonylurea, and insulin.
RESULTS: The relative impact of cost varied significantly across the 7 formats. Cost had the greatest influence on participants' decisions when framed in terms of Affordability [mean (SD) relative importance, 37.3 (0.9)] and the lowest influence when framed in terms of How Cheap (compared with other drugs) [12.1 (0.9)]. A sulfonylurea was strongly preferred across 4 of the 7 formats. Preference for insulin, the most effective, albeit riskiest, option was low across all cost formats.
CONCLUSIONS: The format used to describe cost affects how the attribute impacts patients' preferences. Individuals are most cost-sensitive when cost is framed in terms of affordability and least cost-sensitive when cost is described in terms of how cheap the medication is compared with others.
© The Author(s) 2016.

Entities:  

Keywords:  conjoint analysis; decision making; drug cost; patient preferences

Mesh:

Substances:

Year:  2016        PMID: 27856826      PMCID: PMC5130599          DOI: 10.1177/0272989X16677031

Source DB:  PubMed          Journal:  Med Decis Making        ISSN: 0272-989X            Impact factor:   2.583


  25 in total

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Review 5.  Medical oncologists' views on communicating with patients about chemotherapy costs: a pilot survey.

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6.  Amazon's Mechanical Turk: A New Source of Inexpensive, Yet High-Quality, Data?

Authors:  Michael Buhrmester; Tracy Kwang; Samuel D Gosling
Journal:  Perspect Psychol Sci       Date:  2011-02-03

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8.  Barriers to patient-physician communication about out-of-pocket costs.

Authors:  G Caleb Alexander; Lawrence P Casalino; Chien-Wen Tseng; Diane McFadden; David O Meltzer
Journal:  J Gen Intern Med       Date:  2004-08       Impact factor: 5.128

9.  Understanding patients' attitudes toward communication about the cost of cancer care.

Authors:  Andrea J Bullock; Erin W Hofstatter; Melinda L Yushak; Mary K Buss
Journal:  J Oncol Pract       Date:  2012-02-28       Impact factor: 3.840

10.  Economic costs of diabetes in the U.S. in 2012.

Authors: 
Journal:  Diabetes Care       Date:  2013-03-06       Impact factor: 19.112

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  1 in total

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