Literature DB >> 18647255

What outcomes are important to patients with long term conditions? A discrete choice experiment.

Gerry Richardson1, Chris Bojke, Anne Kennedy, David Reeves, Peter Bower, Victoria Lee, Elizabeth Middleton, Caroline Gardner, Claire Gately, Anne Rogers.   

Abstract

OBJECTIVE: To assess how much patients with long-term conditions value self-efficacy (i.e., confidence in their ability to manage their condition) compared with other health outcomes, including measures of quality of life, and process outcomes including access to General Practitioners.
METHODS: Discrete Choice Experiment (DCE) set in UK community settings. PARTICIPANTS: 367 patients (mean age 57.5) living in the community with a wide range of self-defined long-term conditions. MAIN OUTCOME MEASURES: The relative value that individuals place on four specific outcomes, namely, self-efficacy, Health Related Quality of Life (HRQoL), access to General Practitioners, and level of isolation.
RESULTS: Most responders completed their questionnaire in a consistent manner. Most valuations of outcomes were in the expected direction and were statistically significant. A substantial minority of responders exhibited counter-intuitive preferences. The existence of a significant constant in all models raised concerns about model misspecification. Nevertheless, all models showed that participants were willing to trade substantial reductions in their HRQoL for improvements in their self-efficacy.
CONCLUSIONS: The majority of patients with chronic conditions were able to complete the DCE questionnaires. However, the existence of counter-intuitive preferences and evidence of model misspecification require further investigation. These issues are largely overlooked in the health economics literature. Self-efficacy is an important outcome for this group and is not included explicitly in conventional HRQoL measures. This is potentially important where decisions are made on the basis of cost-effectiveness using Quality Adjusted Life Years as the metric. Exclusion of these outcomes may lead to the cost-effectiveness of these interventions being understated.

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Year:  2008        PMID: 18647255     DOI: 10.1111/j.1524-4733.2008.00419.x

Source DB:  PubMed          Journal:  Value Health        ISSN: 1098-3015            Impact factor:   5.725


  8 in total

1.  Does the inclusion of a cost attribute result in different preferences for the surgical treatment of primary basal cell carcinoma?: a comparison of two discrete-choice experiments.

Authors:  Brigitte A B Essers; Debby van Helvoort-Postulart; Martin H Prins; Martino Neumann; Carmen D Dirksen
Journal:  Pharmacoeconomics       Date:  2010       Impact factor: 4.981

2.  Using Latent Class Analysis to Model Preference Heterogeneity in Health: A Systematic Review.

Authors:  Mo Zhou; Winter Maxwell Thayer; John F P Bridges
Journal:  Pharmacoeconomics       Date:  2018-02       Impact factor: 4.981

Review 3.  Valuing patients' experiences of healthcare processes: towards broader applications of existing methods.

Authors:  Mandy Ryan; Philip Kinghorn; Vikki A Entwistle; Jill J Francis
Journal:  Soc Sci Med       Date:  2014-01-24       Impact factor: 4.634

4.  Applying discrete choice modelling in a priority setting: an investigation of public preferences for primary care models.

Authors:  Chiara Seghieri; Alessandro Mengoni; Sabina Nuti
Journal:  Eur J Health Econ       Date:  2013-11-15

5.  The Australian public's preferences for emergency care alternatives and the influence of the presenting context: a discrete choice experiment.

Authors:  Paul Harris; Jennifer A Whitty; Elizabeth Kendall; Julie Ratcliffe; Andrew Wilson; Peter Littlejohns; Paul A Scuffham
Journal:  BMJ Open       Date:  2015-04-03       Impact factor: 2.692

Review 6.  The Role of Qualitative Research Methods in Discrete Choice Experiments.

Authors:  Caroline Vass; Dan Rigby; Katherine Payne
Journal:  Med Decis Making       Date:  2017-01-06       Impact factor: 2.583

7.  Eliciting health state utilities for Dupuytren's contracture using a discrete choice experiment.

Authors:  Ning Yan Gu; Marc F Botteman; Robert A Gerber; Xiang Ji; Roelien Postema; Yin Wan; Grzegorz Sianos; Iain Anthony; Joseph C Cappelleri; Piotr Szczypa; Ben van Hout
Journal:  Acta Orthop       Date:  2013-11-29       Impact factor: 3.717

Review 8.  Patient and Public Preferences for Coordinated Care in Switzerland: Development of a Discrete Choice Experiment.

Authors:  Anna Nicolet; Clémence Perraudin; Joël Wagner; Ingrid Gilles; Nicolas Krucien; Isabelle Peytremann-Bridevaux; Joachim Marti
Journal:  Patient       Date:  2022-01-24       Impact factor: 3.481

  8 in total

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