Literature DB >> 17689809

Probabilistic threshold technique showed that patients' preferences for specific trade-offs between pain relief and each side effect of treatment in osteoarthritis varied.

Jacek A Kopec1, Chris G Richardson, Hilary Llewellyn-Thomas, Alice Klinkhoff, Anne Carswell, Andrew Chalmers.   

Abstract

OBJECTIVES: Therapeutic decisions in osteoarthritis (OA) often involve trade-offs between accepting risks of side effects and gaining pain relief. Our objectives were (1) to determine patients' maximum acceptable risk increments (MARI) for different adverse effects from OA medication and (2) to identify the predictors of these preferences. STUDY DESIGN AND
SETTING: MARI were measured with a probabilistic threshold technique (TT). Risk and pain levels in the TT scenarios were controlled for in a 2x2 randomized factorial design. Clinical, sociodemographic, and psychological characteristics (decisional conflict and locus of control) of the participants were assessed using a self-administered questionnaire.
RESULTS: For 196 subjects, MARI varied by type of adverse effect, level of pain relief, and baseline risk. Mean MARI ranged from 3% to 5% for heart attack/stroke, 5% to 8% for stomach bleed, 13% to 21% for hypertension, 22% to 33% for fluid retention, and 23% to 35% for dyspepsia. Age, gender, education, physical and mental health, pain, disability, and locus of control were not associated with MARI.
CONCLUSION: Participants varied widely in the level of risk they would accept, but their clinical, sociodemographic, and psychological characteristics did not explain this variation. These observations are important for the development of practice guidelines for physicians and patients' decision aids that can foster individualized, evidence-based yet preference-sensitive care for patients with OA.

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Year:  2007        PMID: 17689809     DOI: 10.1016/j.jclinepi.2007.01.001

Source DB:  PubMed          Journal:  J Clin Epidemiol        ISSN: 0895-4356            Impact factor:   6.437


  7 in total

1.  Impact of educational and patient decision aids on decisional conflict associated with total knee arthroplasty.

Authors:  Sofia de Achaval; Liana Fraenkel; Robert J Volk; Vanessa Cox; Maria E Suarez-Almazor
Journal:  Arthritis Care Res (Hoboken)       Date:  2012-02       Impact factor: 4.794

2.  Assessing Medicare beneficiaries' strength-of-preference scores for health care options: how engaging does the elicitation technique need to be?

Authors:  Trafford Crump; Hilary A Llewellyn-Thomas
Journal:  Health Expect       Date:  2011-03       Impact factor: 3.377

3.  Development of a Patient Preference Survey for Wearable Kidney Replacement Therapy Devices.

Authors:  Jennifer E Flythe; Derek Forfang; Nieltje Gedney; David M White; Caroline Wilkie; Kerri L Cavanaugh; Raymond C Harris; Mark Unruh; Grace Squillaci; Melissa West; Carol Mansfield; Cindy S Soloe; Katherine Treiman; Dallas Wood; Frank P Hurst; Carolyn Y Neuland; Anindita Saha; Murray Sheldon; Michelle E Tarver
Journal:  Kidney360       Date:  2022-05-05

4.  Characterizing the public's preferential attitudes toward end-of-life care options: a role for the threshold technique?

Authors:  R Trafford Crump; H Llewellyn-Thomas
Journal:  Health Serv Res       Date:  2013-02-28       Impact factor: 3.402

5.  Patients' and caregivers' maximum acceptable risk of death for non-curative gene therapy to treat Duchenne muscular dystrophy.

Authors:  Holly L Peay; Ryan Fischer; Brennan Mange; Ryan S Paquin; Edward C Smith; Alesia Sadosky; Leo Russo; Valeria Ricotti; Colin Rensch; Carl Morris; Amy Strong Martin; Annie Ganot; Katherine Beaverson; Carol Mansfield
Journal:  Mol Genet Genomic Med       Date:  2021-03-23       Impact factor: 2.183

6.  Appraising patient preference methods for decision-making in the medical product lifecycle: an empirical comparison.

Authors:  Chiara Whichello; Bennett Levitan; Juhaeri Juhaeri; Vaishali Patadia; Rachael DiSantostefano; Cathy Anne Pinto; Esther W de Bekker-Grob
Journal:  BMC Med Inform Decis Mak       Date:  2020-06-19       Impact factor: 2.796

Review 7.  What do we know about communicating risk? A brief review and suggestion for contextualising serious, but rare, risk, and the example of cox-2 selective and non-selective NSAIDs.

Authors:  R Andrew Moore; Sheena Derry; Henry J McQuay; John Paling
Journal:  Arthritis Res Ther       Date:  2008-02-07       Impact factor: 5.156

  7 in total

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