A community-engaged approach to quantifying caregiver preferences for the benefits and risks of emerging therapies for Duchenne muscular dystrophy.
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John F P Bridges | Ilene Hollin | J. Bridges | I. Hollin | Holly L Peay | H. Peay | R. Fischer | Ryan Fischer
[1] A. Emery. Population frequencies of inherited neuromuscular diseases—A world survey , 1991, Neuromuscular Disorders.
[2] B. Alman,et al. Long-term benefits of deflazacort treatment for boys with Duchenne muscular dystrophy in their second decade , 2006, Neuromuscular Disorders.
[3] P. Zarembka. Frontiers in econometrics , 1973 .
[4] David L. B. Schwappach,et al. Accounting for Tastes , 2012, PharmacoEconomics.
[5] P. Hogan,et al. Cost of illness for neuromuscular diseases in the United States , 2014, Muscle & nerve.
[6] R. Finkel,et al. Diagnosis and management of Duchenne muscular dystrophy, part 1: diagnosis, and pharmacological and psychosocial management , 2010, The Lancet Neurology.
[7] A. Kenneson,et al. The effect of caregiving on women in families with Duchenne/Becker muscular dystrophy. , 2010, Health & social care in the community.
[8] Finn Børlum Kristensen,et al. Exploring Qualitative Research Synthesis , 2011, The patient.
[9] J. Bridges,et al. Can Patients Diagnosed with Schizophrenia Complete Choice-Based Conjoint Analysis Tasks? , 2011, The patient.
[10] T. Peters,et al. Best--worst scaling: What it can do for health care research and how to do it. , 2007, Journal of health economics.
[11] D. McFadden. Conditional logit analysis of qualitative choice behavior , 1972 .
[12] M. Fox,et al. A National Profile of Health Care and Family Impacts of Children With Muscular Dystrophy and Special Health Care Needs in the United States , 2012, Journal of child neurology.
[13] T. Flynn,et al. USING BEST-WORST SCALING IN HORIZON SCANNING FOR HEPATOCELLULAR CARCINOMA TECHNOLOGIES , 2012, International Journal of Technology Assessment in Health Care.
[14] A. Kenneson,et al. Health Care Utilization and Expenditures for Children and Young Adults With Muscular Dystrophy in a Privately Insured Population , 2008, Journal of child neurology.
[15] Deborah Marshall,et al. Constructing experimental designs for discrete-choice experiments: report of the ISPOR Conjoint Analysis Experimental Design Good Research Practices Task Force. , 2013, Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research.
[16] John F P Bridges,et al. Stated preference methods in health care evaluation: an emerging methodological paradigm in health economics. , 2003, Applied health economics and health policy.
[17] Colin Chandler,et al. Survival in Duchenne muscular dystrophy: improvements in life expectancy since 1967 and the impact of home nocturnal ventilation , 2002, Neuromuscular Disorders.
[18] K. Deal. Segmenting Patients and Physicians Using Preferences from Discrete Choice Experiments , 2013, The Patient - Patient-Centered Outcomes Research.
[19] Andrew Lloyd,et al. Conjoint analysis applications in health--a checklist: a report of the ISPOR Good Research Practices for Conjoint Analysis Task Force. , 2011, Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research.
[20] John F P Bridges,et al. Patients' preferences for treatment outcomes for advanced non-small cell lung cancer: a conjoint analysis. , 2012, Lung cancer.
[21] J. Chamberlain,et al. Emergent dilated cardiomyopathy caused by targeted repair of dystrophic skeletal muscle. , 2008, Molecular therapy : the journal of the American Society of Gene Therapy.
[22] B S Levitan,et al. Development of a Framework for Enhancing the Transparency, Reproducibility and Communication of the Benefit–Risk Balance of Medicines , 2011, Clinical pharmacology and therapeutics.
[23] Rachael Fleurence,et al. How the Patient-Centered Outcomes Research Institute is engaging patients and others in shaping its research agenda. , 2013, Health affairs.
[24] A. Brett Hauber,et al. Quantifying Benefit–Risk Preferences for Medical Interventions: An Overview of a Growing Empirical Literature , 2013, Applied Health Economics and Health Policy.
[25] S. Kripalani,et al. Validation of a Short, 3-Item Version of the Subjective Numeracy Scale , 2015, Medical decision making : an international journal of the Society for Medical Decision Making.
[26] L. Prosser,et al. A CHECKLIST FOR CONJOINT ANALYSIS APPLICATIONS IN HEALTH : REPORT OF THE ISPOR CONJOINT ANALYSIS GOOD RESEARCH PRACTICES TASK FORCE FINAL DRAFT : MAY 16 , 2008 For comment only , 2009 .
[27] N. Bresolin,et al. Ongoing therapeutic trials and outcome measures for Duchenne muscular dystrophy , 2013, Cellular and Molecular Life Sciences.
[28] T. Coté,et al. Duchenne muscular dystrophy: Drug development and regulatory considerations , 2010, Muscle & nerve.
[29] T. Flynn. Valuing citizen and patient preferences in health: recent developments in three types of best–worst scaling , 2010, Expert review of pharmacoeconomics & outcomes research.
[30] K. Facey,et al. Patients' perspectives in health technology assessment: A route to robust evidence and fair deliberation , 2010, International Journal of Technology Assessment in Health Care.
[31] F. Johnson,et al. A brief introduction to the use of stated-choice methods to measure preferences for treatment benefits and risks , 2009 .
[32] Joanna Coast,et al. Maximising Responses to Discrete Choice Experiments , 2006, Applied health economics and health policy.
[33] E. John Orav,et al. Triage decisions for emergency department patients with chest pain , 1995, Journal of General Internal Medicine.
[34] P. Slovic,et al. Numeracy skill and the communication, comprehension, and use of risk-benefit information. , 2007, Health affairs.
[35] E. Niggli,et al. Cardiac phenotype of Duchenne Muscular Dystrophy: insights from cellular studies. , 2013, Journal of molecular and cellular cardiology.
[36] B. Orme. Getting Started with Conjoint Analysis: Strategies for Product Design and Pricing Research , 2005 .
[37] P. Ubel,et al. Validation of the Subjective Numeracy Scale: Effects of Low Numeracy on Comprehension of Risk Communications and Utility Elicitations , 2007, Medical decision making : an international journal of the Society for Medical Decision Making.
[38] C. Angelini. The role of corticosteroids in muscular dystrophy: A critical appraisal , 2007, Muscle & nerve.
[39] S. Pandya,et al. Prevalence of Duchenne/Becker muscular dystrophy among males aged 5-24 years - four states, 2007. , 2009, MMWR. Morbidity and mortality weekly report.
[40] P. Hogan,et al. Cost of illness for neuromuscular diseases in the U.S , 2014 .
[41] Dan Rigby,et al. Using best–worst scaling to explore perceptions of relative responsibility for ensuring food safety , 2012 .
[42] Patient-focused drug development programme takes first steps , 2013, Nature Reviews Drug Discovery.
[43] Deborah Marshall,et al. Conjoint Analysis Applications in Health — How are Studies being Designed and Reported? , 2010, The patient.
[44] C. Milne. Prospects for Rapid Advances in the Development of New Medicines for Special Medical Needs , 2013, Clinical pharmacology and therapeutics.
[45] T. Öberg,et al. Conjoint analysis , 2008, Environmental science and pollution research international.
[46] P. Ubel,et al. Measuring Numeracy without a Math Test: Development of the Subjective Numeracy Scale , 2007, Medical decision making : an international journal of the Society for Medical Decision Making.
[47] H. Stam,et al. Subjective caregiver burden of parents of adults with Duchenne muscular dystrophy , 2012, Disability and rehabilitation.
[48] Elizabeth Greenberg,et al. A First Look at the Literacy of America's Adults in the 21st Century. NCES 2006-470. , 2006 .
[49] R. Griggs,et al. Report on the 124th ENMC International Workshop. Treatment of Duchenne muscular dystrophy; defining the gold standards of management in the use of corticosteroids 2–4 April 2004, Naarden, The Netherlands , 2004, Neuromuscular Disorders.
[50] Terry N Flynn,et al. Using Best-Worst Scaling Choice Experiments to Measure Public Perceptions and Preferences for Healthcare Reform in Australia , 2010, The patient.
[51] Richard Emsley,et al. Applying Best-Worst scaling methodology to establish delivery preferences of a symptom supportive care intervention in patients with lung cancer. , 2012, Lung cancer.