Abstract
Background
Providers often prescribe counseling and/or medications for tobacco cessation without considering patients’ treatment preferences.
Objective
The primary aims of this study are to describe (1) the development of a discrete choice experiment (DCE) questionnaire designed to identify the attributes and levels of tobacco treatment that are most important to veterans; and (2) the decision-making process in choosing between hypothetical tobacco treatments.
Methods
We recruited current smokers who were already scheduled for a primary care appointment within a single Veterans Affairs (VA) healthcare system. Subjects were asked to rate the importance of selected treatment attributes and were interviewed during two rounds of pilot testing of initial DCE instruments. Key attributes and levels of the initial instruments were identified by targeted literature review; the instruments were iteratively revised after each round of pilot testing. Using a ‘think aloud’ approach, subjects were interviewed while completing DCE choice tasks. Constant comparison techniques were used to characterize the issues raised by subjects. Findings from the cognitive interviews were used to revise the initial DCE instruments.
Results
Most subjects completed the DCE questionnaire without difficulty and considered two or more attributes in choosing between treatments. Two common patterns of decision-making emerged during the cognitive interviews: (1) counting ‘pros’ and ‘cons’ of each treatment alternative; and (2) using a ‘rule-out’ strategy to eliminate a given treatment choice if it included an undesirable attribute. Subjects routinely discounted the importance of certain attributes and, in a few cases, focused primarily on a single ‘must-have’ attribute.
Conclusion
Cognitive interviews provide valuable insights into the comprehension and interpretation of DCE attributes, the decision processes used by veterans during completion of choice tasks, and underlying reasons for non’-compensatory decision-making.
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References
McKinney WP, McIntire DD, Carmody TJ, Joseph A. Comparing the smoking behavior of veterans and nonveterans. Public Health Rep. 1997;112:212–7.
Hoerster KD, Lehavot K, Simpson T, McFall M, Reiber G, Nelson KM. Health and health behavior differences: US Military, veteran, and civilian men. Am J Prev Med. 2012;43:483–9.
Barnett PG, Hamlett-Berry K, Sung HY, Max W. Health care expenditures attributable to smoking in military veterans. Nicotine Tob Res. 2015;17:586–91.
Stead LF, Hartmann-Boyce J, Perera R, Lancaster T. Telephone counselling for smoking cessation. Cochrane Database Syst Rev 2013;(8):CD002850.
Fiore MC, Bailey WC, Cohen SJ, et al. Treating tobacco use and dependence. Clinical practice guideline. Rockville: US Department of Health and Human Services, US Public Health Service; 2008.
Katz D, Holman J, Johnson S, et al. Implementing smoking cessation guidelines for hospitalized veterans: effects on nurse attitudes and performance. J Gen Intern Med. 2013;28:1420–9.
Jonk YC, Sherman SE, Fu SS, Hamlett-Berry KW, Geraci MC, Joseph AM. National trends in the provision of smoking cessation aids within the Veterans Health Administration. Am J Manag Care. 2005;11:77–85.
Ignacio RV, Barnett PG, Kim HM, et al. Trends and patient characteristics associated with tobacco pharmacotherapy dispensed in the Veterans Health Administration. Nicotine Tob Res. 2017. https://doi.org/10.1093/ntr/ntx229 (In Press).
Bansal MA, Cummings KM, Hyland A, Giovino GA. Stop-smoking medications: who uses them, who misuses them, and who is misinformed about them? Nicotine Tob Res. 2004;6(Suppl 3):S303–10.
Lam TH, Abdullah AS, Chan SS, Hedley AJ. Adherence to nicotine replacement therapy versus quitting smoking among Chinese smokers: a preliminary investigation. Psychopharmacology. 2005;177:400–8.
Bruera E, Sweeney C, Calder K, Palmer L, Benisch-Tolley S. Patient preferences versus physician perceptions of treatment decisions in cancer care. J Clin Oncol. 2001;19:2883–5.
Florin J, Ehrenberg A, Ehnfors M. Patient participation in clinical decision-making in nursing: a comparative study of nurses’ and patients’ perceptions. J Clin Nurs. 2006;15:1498–508.
Ryan M, Farrer S. Using conjoint analysis to elicit preferences for health care. BMJ. 2000;320:1530–3.
Ryan M, Scott DA, Reeves C, et al. Eliciting public preferences for healthcare: a systematic review of techniques. Health Technol Assess. 2001;5:1–186.
Lancsar E, Louviere J. Conducting discrete choice experiments to inform healthcare decision making. Pharmacoecon. 2008;26:661–77.
Ryan M, Watson V, Entwistle V. Rationalising the ‘irrational’: a think aloud study of discrete choice experiment responses. Health Econ. 2009;18:321–36.
Veldwijk J, Determann D, Lambooij MS, et al. Exploring how individuals complete the choice tasks in a discrete choice experiment: an interview study. BMC Med Res Methodol. 2016;16:45.
Miguel FS, Ryan M, Amaya-Amaya M. ‘Irrational’ stated preferences: a quantitative and qualitative investigation. Health Econ. 2005;14:307–22.
Payne JW, Bettman JR, Johnson EJ. Behavioral decision research: a constructive processing perspective. Annu Rev Psychol. 1992;43:87–131.
Muhlbacher A, Johnson FR. Choice experiments to quantify preferences for health and healthcare: state of the practice. Appl Health Econ Health Policy. 2016;14:253–66.
Teddie C, Tashakkori A. Foundation of mixed methods research: integrating quantitative approaches in the social and behavioral sciences. Los Angeles: Sage Publications; 2009.
Bridges JFP, Hauber AB, Marshall D, et al. Conjoint analysis applications in health—a checklist: a report of the ISPOR Good Research Practices for Conjoint Analysis Task Force. Value Health. 2011;14:403–13.
Coast J, Al-Janabi H, Sutton EJ, et al. Using qualitative methods for attribute development for discrete choice experiments: issues and recommendations. Health Econ. 2012;21:730–41.
Paterson RW, Boyle KJ, Parmeter CF, Neumann JE, De Civita P. Heterogeneity in preferences for smoking cessation. Health Econ. 2008;17:1363–77.
Marti J. A best-worst scaling survey of adolescents’ level of concern for health and non-health consequences of smoking. Soc Sci Med. 2012;75:87–97.
Turner D, Tarrant C, Windridge K, et al. Do patients value continuity of care in general practice? An investigation using stated preference discrete choice experiments. J Health Serv Res. 2007;12:132–7.
Orme BK. Getting started with conjoint analysis: Strategies for product design and pricing research. Madison: Research Publishers, LLC; 2006.
Cahill K, Stevens S, Lancaster T. Pharmacological treatments for smoking cessation. JAMA. 2014;311:193–4.
Reed Johnson F, Lancsar E, Marshall D, et al. Constructing experimental designs for discrete-choice experiments: report of the ISPOR Conjoint Analysis Experimental Design Good Research Practices Task Force. Value Health. 2013;16:3–13.
Huber J, Zwerina K. The importance of utility balance in efficient choice designs. J Mark Res. 1996;33:307–17.
Maddala T, Phillips KA, Reed Johnson F. An experiment on simplifying conjoint analysis designs for measuring preferences. Health Econ. 2003;12:1035–47.
Clark MD, Determann D, Petrou S, Moro D, de Bekker-Grob EW. Discrete choice experiments in health economics: a review of the literature. Pharmacoeconomics. 2014;32:883–902.
Pearmain D, Swanson J. Stated preference techniques: a guide to practice. 2nd ed. Cambridge: Steer Davies Gleave; 1991.
Vick S, Scott A. Agency in health care. Examining patients’ preferences for attributes of the doctor-patient relationship. J Health Econ. 1998;1998:587–605.
Kenny P, Hall J, Viney R, Haas M. Do participants understand a stated preference health survey? A qualitative approach to assessing validity. Int J Technol Assess Health Care. 2003;19:664–81.
Ericsson K, Simon H. Protocol analysis: verbal reports as data. Cambridge: MIT Press; 1993.
Ryan M, Watson V, Entwistle V. Rationalising the ‘irrational’: a think aloud study of discrete choice experiment responses. Health Econ. 2009;18:321–36.
Knafl K, Deatrick J, Gallo A, et al. The analysis and interpretation of cognitive interviews for instrument development. Res Nurs Health. 2007;30:224–34.
Cheraghi-Sohi S, Bower P, Mead N, McDonald R, Whalley D, Roland M. Making sense of patient priorities: applying discrete choice methods in primary care using ‘think aloud’ technique. Fam Pract. 2007;24:276–82.
Bernard HR, Ryan GW. Analyzing qualitative data: systematic approaches. Thousand Oaks: Sage Publications; 2010.
Pope C, Mays N. Reaching the parts other methods cannot reach: an introduction to qualitative methods in health and health services research. BMJ. 1995;311:42–5.
Strauss ACJ. Basics of qualitative research. Grounded theory procedures and techniques. London: Sage; 1990.
Miles MB, Huberman AM. Qualitative data analysis: a source book of new methods. 2nd ed. Newbury Park: Sage; 1994.
Sandelowski M. Sample size in qualitative research. Res Nurs Health. 1995;18:179–83.
Barnett PG, Chow A, Flores NE, Sherman SE, Duffy SA. Changes in veteran tobacco use identified in electronic medical records. Am J Prev Med. 2017;53:e9–18.
Anthenelli RM, Benowitz NL, West R, et al. Neuropsychiatric safety and efficacy of varenicline, bupropion, and nicotine patch in smokers with and without psychiatric disorders (EAGLES): a double-blind, randomised, placebo-controlled clinical trial. Lancet. 2016;387(10037):2507–20.
Hamlett-Berry KW. Smoking cessation policy in the VA Health Care System: where have we been and where are we going? In: Isaacs SL, editor. VA in the vanguard: building on success in smoking cessation. San Francisco: Department of Veterans Affairs; 2004. p. 7–29.
Smith EA, Malone RE. Why strong tobacco control measures “can’t” be implemented in the US military: a qualitative analysis. Mil Med. 2012;177:1202–7.
Katz DA, Stewart K, Paez M, et al. “Let me get you a nicotine patch”: nurses’ perceptions of implementing smoking cessation guidelines for hospitalized veterans. Mil Med. 2016;181:373–82.
Janssen EM, Segal JB, Bridges JF. A framework for instrument development of a choice experiment: an application to type 2 diabetes. Patient. 2016;9:465–79.
Janssen EM, Marshall DA, Hauber AB, Bridges JFP. Improving the quality of discrete-choice experiments in health: how can we assess validity and reliability? Expert Rev Pharmacoecon Outcomes Res. 2017;17:531–42.
Schwartz LM, Woloshin S, Black WC, Welch HG. The role of numeracy in understanding the benefit of screening mammography. Ann Intern Med. 1997;127:966–72.
Galesic M, Garcia-Retamero R. Statistical numeracy for health: a cross-cultural comparison with probabilistic national samples. Arch Intern Med. 2010;170:462–8.
Ozdemir S, Mohamed AF, Johnson FR, Hauber AB. Who pays attention in stated-choice surveys? Health Econ. 2010;19:111–8.
Kenny P, Hall J, Viney R, Haas M. Do participants understand a stated preference health survey? A qualitative approach to assessing validity. Int J Technol Assess Health Care. 2003;19:664–81.
Scott A. Identifying and analysing dominant preferences in discrete choice experiments: an application in health care. J Econ Psychol. 2002;23:383–98.
Simon HA. A behavioral model of rational choice. Quart J Econ. 1955;69:99–118.
Johnson EJ, Bettman JR, Payne JW. The adaptive decision maker. Cambridge: Cambridge University Press; 1993.
Lloyd AJ. Threats to the estimation of benefit: are preference elicitation methods accurate? Health Econ. 2003;12:393–402.
Acknowledgments
The authors thank John Holman for assistance with research coordination, Charlotte Dean for assistance with manuscript preparation, and all of the veterans who participated in this project. This work was previously presented in part at the Society of Medical Decision Making Annual Meeting, Pittburgh, PA, on October 24, 2017.
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DAK and GG were responsible for study concept and design. KRS and MP were responsible for acquisition of the data. CH provided research coordination. KRS, MP, GG, and DAK were responsible for analysis and interpretation of the data. DAK obtained funding, supervised the study, and drafted the article. DAK, KRS, MWVW, KMG, CH, and GG were responsible for critical review of the article.
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Funding
Funding for this study was received from the US Department of Veterans Affairs, Health Services Research and Development (PPO 15-429).
Ethical Approval and Informed Consent
This study was approved by the University of Iowa Institutional Review Board. All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards. Informed consent was obtained from all individual participants included in the study.
Conflict of interest
David Katz, Kenda Stewart, Monica Paez, Mark Vander Weg, Kathleen Grant, Christine Hamline, and Gary Gaeth have no conflicts of interest to declare.
Disclaimer
The views expressed in this article are those of the author(s) and do not necessarily represent the views of the Department of Veterans Affairs.
Data Availability Statement
Final datasets underlying all publications resulting from research will not be shared outside the Veterans Administration (VA) except as required under the Freedom of Information Act (FOIA), as original VA-funded datasets are required to be retained on VA servers behind VA firewalls. These data will be provided to interested parties following proper filing and verification of a FOIA request and approval by the VA Privacy Officer. These data will be maintained as required by VA data retention policies.
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Katz, D.A., Stewart, K.R., Paez, M. et al. Development of a Discrete Choice Experiment (DCE) Questionnaire to Understand Veterans’ Preferences for Tobacco Treatment in Primary Care. Patient 11, 649–663 (2018). https://doi.org/10.1007/s40271-018-0316-6
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DOI: https://doi.org/10.1007/s40271-018-0316-6