Applying Best–Worst scaling methodology to establish delivery preferences of a symptom supportive care intervention in patients with lung cancer
Authors:
- Alex MolassiotisAMAlex Molassiotis
- Richard EmsleyRERichard Emsley
- Darren AshcroftDADarren Ashcroft
- Ann CaressACAnn Caress
- Jackie EllisJEJackie Ellis
- Richard WaglandRWRichard Wagland
- Chris D. BaileyCBChris D. Bailey
- Jemma HainesJHJemma Haines
- Mari Lloyd WilliamsMWMari Lloyd Williams
- Paul LoriganPLPaul Lorigan
- Jaclyn SmithJSJaclyn Smith
- Carol TishelmanCTCarol Tishelman
- 1 July 2012
- journal article
- Published by Elsevier in Lung Cancer
- Vol. 77 (1) , 199-204
Abstract
No abstract availableKeywords
This publication has 14 references indexed in Scilit:
- Considerations in developing and delivering a non-pharmacological intervention for symptom management in lung cancer: the views of health care professionalsSupportive Care in Cancer, 2012
- Key issues in recruitment to randomised controlled trials with very different interventions: a qualitative investigation of recruitment to the SPARE trial (CRUK/07/011)Trials, 2011
- Using Conjoint Analysis and Choice Experiments to Estimate QALY ValuesPharmacoEconomics, 2010
- What Should a Support Program for People with Lung Cancer Look Like? Differing Attitudes of Patients and Support Group FacilitatorsJournal of Thoracic Oncology, 2010
- Cancer-related psychosocial research: what are the perspectives of cancer care centre users on participation?Supportive Care in Cancer, 2010
- Supportive care needs in patients with lung cancerPsycho-Oncology, 2010
- Lessons to Be Learned From 25 Years of Research Investigating Psychosocial Interventions for Cancer PatientsThe Cancer Journal, 2009
- Estimating preferences for a dermatology consultation using Best-Worst Scaling: Comparison of various methods of analysisBMC Medical Research Methodology, 2008
- Preferences for aspects of a dermatology consultationBritish Journal of Dermatology, 2006
- Incorporating Patients' Perspectives in Complementary and Alternative Medicine Clinical Trial DesignThe Journal of Alternative and Complementary Medicine, 2003