Computerized Conjoint Analysis of the Weight Treatment Preferences of Individuals With Schizophrenia
- PMID: 33430650
- PMCID: PMC7920898
- DOI: 10.1176/appi.ps.202000068
Computerized Conjoint Analysis of the Weight Treatment Preferences of Individuals With Schizophrenia
Abstract
Objective: Innovative approaches are needed for assessing treatment preferences of individuals with schizophrenia. Conjoint analysis methods may help to identify preferences, but the usability and validity of these methods for individuals with schizophrenia remain unclear. This study examined computerized conjoint analysis for persons with schizophrenia and whether preferences for weight management programs predict service use.
Methods: A computerized, patient-facing conjoint analysis system was developed through iterative consultation with 35 individuals with schizophrenia enrolled at a community mental health clinic. An additional 35 overweight participants with schizophrenia then used the system to choose among psychosocial weight management programs varying in four attributes: location (community or clinic), delivery mode (Internet or in person), leader (clinician or layperson), and training mode (individual or group). A multilevel logit model with partial preference data determined contributions of each attribute to groupwide preferences. Associations were studied between preferences and use of a psychosocial weight management group.
Results: Conjoint analysis system usability was rated highly. Groupwide preferences were significantly influenced by location (p<0.001; clinic was preferred), leader (p=0.02; clinician was preferred), and training mode (p<0.001; group was preferred) but not delivery mode (p=0.68). Preferences did not correlate with age, gender, body mass index, illness severity, or subsequent program use. Participants described barriers to program attendance, including transportation, scheduling, privacy, psychiatric illness, and lack of motivation.
Conclusions: Computerized conjoint analysis can produce valid assessments of treatment preferences of persons with schizophrenia and inform treatment development and implementation. Although preferences may affect treatment use, they are one of multiple factors.
Keywords: Conjoint analysis; Health informatics; Mental illness; Patient preferences; Schizophrenia; Weight management.
Conflict of interest statement
The authors report no conflicts of interest.
Figures
Similar articles
-
Personal preferences for Personalised Trials among patients with chronic diseases: an empirical Bayesian analysis of a conjoint survey.BMJ Open. 2020 Jun 7;10(6):e036056. doi: 10.1136/bmjopen-2019-036056. BMJ Open. 2020. PMID: 32513886 Free PMC article.
-
The Usability and Feasibility of Conjoint Analysis to Elicit Preferences for Distal Radius Fractures in Patients 55 Years and Older.J Hand Surg Am. 2019 Oct;44(10):846-852. doi: 10.1016/j.jhsa.2019.07.010. Epub 2019 Sep 5. J Hand Surg Am. 2019. PMID: 31495523
-
Conjoint Analysis of Telemedicine Preferences for Hypertension Management Among Adult Patients.Telemed J E Health. 2024 Mar;30(3):692-704. doi: 10.1089/tmj.2023.0254. Epub 2023 Oct 16. Telemed J E Health. 2024. PMID: 37843962 Free PMC article.
-
Conjoint analyses of patients' preferences for primary care: a systematic review.BMC Prim Care. 2022 Sep 9;23(1):234. doi: 10.1186/s12875-022-01822-8. BMC Prim Care. 2022. PMID: 36085032 Free PMC article.
-
A Systematic Review of Discrete Choice Experiments and Conjoint Analysis on Genetic Testing.Patient. 2022 Jan;15(1):39-54. doi: 10.1007/s40271-021-00531-1. Epub 2021 Jun 4. Patient. 2022. PMID: 34085205
Cited by
-
Embedding a Choice Experiment in an Online Decision Aid or Tool: Scoping Review.J Med Internet Res. 2025 Mar 21;27:e59209. doi: 10.2196/59209. J Med Internet Res. 2025. PMID: 40117570 Free PMC article.
-
Clinician and Patient Perspectives on the Use of Passive Mobile Monitoring and Self-Tracking for Patients With Serious Mental Illness: User-Centered Approach.JMIR Hum Factors. 2023 Oct 24;10:e46909. doi: 10.2196/46909. JMIR Hum Factors. 2023. PMID: 37874639 Free PMC article.
-
The Evolving Landscape of Discrete Choice Experiments in Health Economics: A Systematic Review.Pharmacoeconomics. 2025 Aug;43(8):879-936. doi: 10.1007/s40273-025-01495-y. Epub 2025 May 21. Pharmacoeconomics. 2025. PMID: 40397369 Free PMC article.
References
-
- Institute of Medicine Committee on Quality of Health Care in America: Crossing the Quality Chasm: A New Health System for the 21st Century. Washington, DC, National Academies Press, 2001
-
- Wagner EH, Bennett SM, Austin BT, et al.: Finding common ground: patient-centeredness and evidence-based chronic illness care. J Altern Complement Med 11 Suppl 1: S7–15, 2005 - PubMed
-
- Institute of Medicine Committee on Crossing the Quality Chasm: Adaptation to Mental Health and Addictive Disorders: Improving the Quality of Health Care for Mental and Substance-Use Conditions: Quality Chasm Series. Washington, DC, National Academies Press, 2006 - PubMed
-
- O’Neal EL, Adams JR, McHugo GJ, et al.: Preferences of older and younger adults with serious mental illness for involvement in decision-making in medical and psychiatric settings. Am J Geriatr Psychiatry 16: 826–833, 2008 - PubMed
-
- Hill SA, Laugharne R: Decision making and information seeking preferences among psychiatric patients. J Ment Health 15: 75–84, 2006
Publication types
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical