Taking into account patient preferences: A consensus study on the assessment of psychological dimensions within patient preference studies

Patient preferences are gaining recognition among key stakeholders involved in benefit-risk decision-making along the medical product lifecycle. However, one of the main challenges of integrating patient preferences in benefit-risk decision-making is understanding differences in patient preference, which may be attributable to clinical characteristics (eg age, medical history) or psychosocial factors. Measuring the latter may provide valuable information to decision-makers but there is limited guidance regarding which psychological dimensions may influence patient preferences and which psychological instruments should be considered for inclusion in patient preference studies. This paper aims to provide such guidance by advancing evidence and consensus-based recommendations and considerations. Findings of a recent systematic review on psychological constructs having an impact on patients’ preferences and health-related decisions were expanded with input from an expert group (n = 11). These data were then used as the basis for final recommendations developed through two rounds of formal evaluation via an online Delphi consensus process involving international experts in the field of psychology, medical decision-making, and risk communication (n = 27). Three classes of recommendations emerged. Eleven psychological constructs reached consensus to be recommended for inclusion with the strongest consensus existing for health literacy, numeracy, illness perception and treatment-related beliefs. We also proposed a set of descriptive and check-list criteria to appraise available psychological measures to assist researchers and other stakeholders in including psychological assessment when planning patient preference studies. These recommendations can guide researchers and other stakeholders when designing and interpreting patient preference studies with a potential high impact in clinical practice and medical product benefit-risk decision-making processes

Does being exposed to an educational tool influence patient preferences?:The influence of an educational tool on patient preferences assessed by a discrete choice experiment.

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

Where families and healthcare meet

Recent developments in professional healthcare pose moral problems that standard bioethics cannot even identify as problems, but that are fully visible when redefined as problems in the ethics of families. Here, we add to the growing body of work that began in the 1990s by demonstrating the need for a distinctive ethics of families. First, we discuss what 'family' means and why families can matter so deeply to the lives of those within them. Then, we briefly sketch how, according to an ethics of families, responsibilities must be negotiated against the backdrop of family relationships, treatment decisions must be made in the light of these negotiated responsibilities and justice must be served, both between families and society more generally and within families themselves

How psychological distance of a study sample in discrete choice experiments affects preference measurement : a colorectal cancer screening case study

Purpose: The purpose of this study was to investigate to what extent the outcomes of a discrete choice experiment (DCE) differ based on respondents' psychological distance to the decision at hand. Methods: A DCE questionnaire regarding individuals' preferences for genetic screening for colorectal cancer (CRC) within the Dutch national CRC screening program was created. The DCE contained nine D-efficient designed choice tasks and was distributed among two populations that differ in their psychological distance to the decision at hand: 1) a representative sample of the Dutch general population aged 55-65 years, and 2) a sample of Dutch individuals who attended an information appointment regarding colonoscopies following the detection of blood in their stool sample in the CRC screening program. The DCE consisted of four attributes related to the decision whether to participate in genetic screening for CRC: 1) risk of being genetically predisposed, 2) risk of developing CRC, 3) frequency of follow-up colonoscopies, and 4) survival. Direct attribute ranking, dominant decision-making behavior, and relative importance scores (based on panel MIXL) were compared between the two populations. Attribute level estimates were compared with the Swait and Louviere test. Results: The proportion of respondents who both ranked survival as the most important attribute, and showed dominant decision-making behavior for this attribute, was significantly higher in the screened population compared to the general population. The relative importance scores of the attributes significantly differed between populations. Finally, the Swait and Louviere test also revealed significant differences in attribute level estimates in both the populations. Conclusion: The study outcomes differed between populations depending on their psychological distance to the decision. This study shows the importance of adequate sample selection; therefore, it is advocated to increase attention to study sample selection and reporting in DCE studies