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First-degree relatives (FDRs) of people with rheumatoid arthritis (RA) are increasingly recruited to prediction and prevention studies. Access to FDRs is usually via their proband with RA. Quantitative data on predictors of family risk communication are lacking. RA patients completed a questionnaire assessing likelihood of communicating RA risk information to their FDRs, demographic variables, disease impact, illness perceptions, autonomy preferences, interest in FDRs taking a predictive test for RA, dispositional openness, family functioning, and attitudes towards predictive testing. Ordinal regression examined associations between patients' characteristics and their median likelihood of communicating RA risk to FDRs. Questionnaires were completed by 482 patients. The majority (75.1%) were likely/extremely likely to communicate RA risk information to FDRs, especially their children. Decision-making preferences, interest in FDRs taking a predictive test, and beliefs that risk knowledge would increase people's empowerment over their health increased patients' odds of being likely to communicate RA risk information to FDRs. Beliefs that risk information would cause stress to their relatives decreased odds that patients would be likely to communicate RA risk. These findings will inform the development of resources to support family communication about RA risk., Competing Interests: Declaration of Competing Interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: IW, DZ, GS, RJS, KR and MF declare they have no competing interests. CDM is funded by the National Institute for Health Research (NIHR) Applied Research Collaboration West Midlands, the National Institute for Health Research (NIHR) School for Primary Care Research and a National Institute for Health Research (NIHR) Research Professorship in General Practice (NIHR-RP-2014–04-026) for this research project. The School of Medicine has received financial support from BMS for an unrelated non-pharmacological study screening patients for AF in primary care., (Copyright © 2023. Published by Elsevier B.V.)

Objectives: There is an increased interest in patient preferences informing the development and authorisation of medical products. A requirement for robust and meaningful results of such studies is that patients adequately understand the risks and benefits associated with treatments for which their preferences are elicited. This study aims to determine the influence of an educational tool, compared with traditional written information on patient preferences elicited in a discrete choice experiment (DCE)., Methods: Treatment preferences of Swedish patients with rheumatoid arthritis (RA) were assessed using a DCE. Patients were recruited via clinics, a research panel, and the Swedish Rheumatism Association. Respondents received training materials either as plain written text or as an online educational tool. The educational tool was designed to enhance understanding of the written text by using graphics, pictograms, icon arrays, spoken text, and click-on functions. Data were analysed using random parameter logit models., Results: 675 patients with RA were included in the analysis. The patients received either a written information (n = 358) or information via an educational tool (n = 317). Respondents receiving the educational tool placed relatively more importance on all included side effects in their decision making, compared to respondents receiving the written text, who placed greater importance on treatment effectiveness and administration methods., Conclusion: Compared to the respondents receiving the written text, the decisions of respondents receiving the educational tool were more influenced by medication side effects. Further research is needed to provide guidance on how and when to use educational tools to inform and elicit patients' preferences., Practice Implications: The ways in which attributes are presented to patients significantly impacts preferences measured in a DCE., Competing Interests: Conflict of interest KSB, JV, MH, EB, MF and UK have no conflict of interest to declare. KR is supported by the Birmingham NIHR Biomedical Research Centre and is a member of the Research into Inflammatory Arthritis Centre Versus Arthritis and the MRC Versus Arthritis Centre for Musculoskeletal Ageing Research., (Copyright © 2021 Elsevier B.V. All rights reserved.)

Background: Research has been mainly focused on how to elicit patient preferences, with less attention on why patients form certain preferences., Objectives: To assess which psychological instruments are currently used and which psychological constructs are known to have an impact on patients' preferences and health-related decisions including the formation of preferences and preference heterogeneity., Methods: A systematic database search was undertaken to identify relevant studies. From the selected studies, the following information was extracted: study objectives, study population, design, psychological dimensions investigated, and instruments used to measure psychological variables., Results: Thirty-three studies were identified that described the association between a psychological construct, measured using a validated instrument, and patients' preferences or health-related decisions. We identified 33 psychological instruments and 18 constructs, and categorized the instruments into 5 groups, namely, motivational factors, cognitive factors, individual differences, emotion and mood, and health beliefs., Conclusions: This review provides an overview of the psychological factors and related instruments in the context of patients' preferences and decisions in healthcare settings. Our results indicate that measures of health literacy, numeracy, and locus of control have an impact on health-related preferences and decisions. Within the category of constructs that could explain preference and decision heterogeneity, health locus of control is a strong predictor of decisions in several healthcare contexts and is useful to consider when designing a patient preference study. Future research should continue to explore the association of psychological constructs with preference formation and heterogeneity to build on these initial recommendations., (Copyright © 2019 ISPOR–The Professional Society for Health Economics and Outcomes Research. Published by Elsevier Inc. All rights reserved.)