Choice Consistency in Discrete Choice Experiments: Does Numeracy Skill Matter? (VIH-2023-0494.R2).

OBJECTIVES: This study investigated the relationship between numeracy skills and choice consistency in discrete choice experiments (DCEs). METHODS: A DCE was conducted to explore patients' preferences for kidney transplantation in Italy. Patients completed the DCE and answered three-item numeracy questions. A Heteroskedastic Multinomial Logit (HMNL) model was used to investigate the effect of numeracy on choice consistency. RESULTS: Higher numeracy skills were associated with greater choice consistency, increasing the scale to 1.63 (p<0.001), 1.39 (p<0.001), and 1.18 (p<0.001) for patients answering 3/3, 2/3, and 1/3 questions correctly, respectively, compared to those with no correct answers. This corresponded to 63%, 39%, and 18% more consistent choices, respectively. Accounting for choice consistency resulted in varying willingness-to-wait (WTW) estimates for kidney transplant attributes. Patients with the lowest numeracy (0/3) were willing to wait approximately 42 months [95% CI: 29.37, 54.68] for standard infectious risk, compared to 33 months [95% CI: 28.48, 38.09] for 1/3, 28 months [95% CI: 25.13, 30.32] for 2/3, and 24 months [95% CI: 20.51, 27.25] for 3/3 correct answers. However, WTW differences for an additional year of graft survival and neoplastic risk were not statistically significant across numeracy levels. Supplementary analyses of two additional DCEs on COVID-19 vaccinations and rheumatoid arthritis, conducted online, supported these findings: higher numeracy skills were associated with more consistent choices across different disease contexts and survey formats. CONCLUSIONS: The findings suggested that combining patients with varying numeracy skills could bias WTW estimates, highlighting the need to consider numeracy in DCE data analysis and interpretation.

Using choice modelling to inform service sustainability for dementia Meeting Centres for people living with dementia in the UK.

OBJECTIVES: This study explores the preferences and willingness-to-pay (WTP) of carers for Meeting Centres (MCs) attributes in assisting individuals with mild to moderate dementia. METHOD: Preferences from 108 carers, gathered through UK-wide MC networks, were collected using a Discrete Choice Experiment survey. The survey incorporated attributes derived from evidence synthesis and lay consultation. A regression model estimated preference weights and marginal WTP for a change in attributes one a time within the MC support 'package.' RESULTS: Carers preferred MCs offering a balanced mix of practical activities and emotional support, along with flexibility without booking requirements and low costs. Social opportunities and the frequency of the meeting were not prioritised. Respondents expressed a WTP of £43 to stay with 'My MC,' the preferred option, compared to transitioning to an alternative in-person MC, all else being equal. Various factors, including attendance modality, the relationship with the supported person, age, and gender, influenced carers' choices. CONCLUSION: These findings offer valuable insights into carers' preferences, priorities, and WTP within MC support for those with mild to moderate dementia. Understanding these factors can guide the implementation and sustainability of MCs, ensuring alignment with carers' needs and preferences and, ultimately, enhancing support for individuals with dementia.

A discrete choice experiment to elicit preferences for a chronic disease screening programme in Queensland, Australia.

OBJECTIVE: Patient-centred care, increasingly highlighted in healthcare strategies, necessitates understanding public preferences for healthcare service attributes. We aimed to understand the preferences of the Australian population regarding the attributes of chronic disease screening programmes. STUDY DESIGN: The preferences were elicited using the discrete choice experiment (DCE) methodology. METHODS: A DCE was administered to a sample of the Australian general population. Respondents were asked to make choices, each offering two hypothetical screening scenarios defined by screening conduct, quality and accuracy of the test results, cost to the patient, wait time and source of information. Data were analysed using a panel mixed multinomial logit model. RESULTS: A strong preference for highly accurate screening tests and nurse-led screenings at local health clinics was evident. They expressed disutility for waiting time and out-of-pocket costs but were indifferent about the source of information. Their preference for a nurse-led programme was highlighted by the fact that they were willing to pay $81 and $88 to get a nurse-led programme when they were offered a general practitioner-led and a specialist-led programme, respectively. Furthermore, they were willing to pay $32 to reduce a week of waiting time and $205 for a 95% accurate test compared to a 75% accurate test. Preferences remained consistent irrespective of the respondent's place of residence. CONCLUSIONS: Our findings highlight the importance of diagnostic test accuracy and nurse-led service delivery in chronic disease screening programmes. These insights could guide the development of patient-centric services by enhancing test accuracy, reducing waiting times and promoting nurse-led care models.

How different attributes are weighted in professionals' decision-making in Pediatric Dentistry-a protocol for guiding discrete choice experiment focused on shortening the evidence-based practice implementation for dental care.

BACKGROUND: Important evidence has been constantly produced and needs to be converted into practice. Professional consumption of such evidence may be a barrier to its implementation. Then, effective implementation of evidence-based interventions in clinical practice leans on the understanding of how professionals value attributes when choosing between options for dental care, permitting to guide this implementation process by maximizing strengthens and minimizing barriers related to that. METHODS: This is part of a broader project investigating the potential of incorporating scientific evidence into clinical practice and public policy recommendations and guidelines, identifying strengths and barriers in such an implementation process. The present research protocol comprises a Discrete Choice Experiment (DCE) from the Brazilian oral health professionals' perspective, aiming to assess how different factors are associated with professional decision-making in dental care, including the role of scientific evidence. Different choice sets will be developed, either focusing on understanding the role of scientific evidence in the professional decision-making process or on understanding specific attributes associated with different interventions recently tested in randomized clinical trials and available as newly produced scientific evidence to be used in clinical practice. DISCUSSION: Translating research into practice usually requires time and effort. Shortening this process may be useful for faster incorporation into clinical practice and beneficial to the population. Understanding the context and professionals' decision-making preferences is crucial to designing more effective implementation and/or educational initiatives. Ultimately, we expect to design an efficient implementation strategy that overcomes threats and potential opportunities identified during the DCEs, creating a customized structure for dental professionals. TRIAL REGISTRATION: https://osf.io/bhncv .

Understanding Australian pharmacy degree holders' job preferences through the lens of motivation-hygiene theory.

Increasing the contribution of pharmacists to primary care has been long discussed, particularly in the context of health workforce shortages and the push to better integrate all providers across primary care. This study examines the employment preferences of Australian pharmacy degree holders (PDHs) elicited through a discrete choice experiment (DCE), to better understand the drivers of current labour force choices. A labelled DCE was developed incorporating the six employment sectors: hospital pharmacy, community pharmacy, primary healthcare settings, pharmaceutical industry, government/academia, and non-pharmacy-related sector. Each alternative was described by five attributes using Herzberg's Two Factor Theory as a conceptual framework. They include motivators - role and career opportunities, and hygiene factors-flexible work schedule, geographic location, and salary. Unforced choice data were analysed using conditional logit and mixed logit models. Based on a sample of 678 PDHs in Australia, our findings indicated pharmaceutical industry is the least preferred sector, followed by non-pharmacy-related sector. Motivators in the form of role and career opportunities are the most important attributes in hospital pharmacy while hygiene factors - geographic location and salary significantly drive the choice of community pharmacy and primary care settings. We provided evidence of a willingness to adopt expanded roles in community pharmacy. This unique interpretation of the key drivers of employment preference in light of motivators and hygiene factors provides policy makers with important information when designing policies to attract and retain PDHs across employment sectors.

Job preferences of Chinese primary health care workers: A discrete choice experiment.

OBJECTIVE: Primary health workers (PHWs) are a critical pillar of health systems but primary health care centers often struggle to attract and retain talented staff. To better understand why this is, we investigated the job preference of PHWs in a Chinese urban setting. METHODS: In a discrete choice experiment, PHWs from 15 primary health care centers in Guangzhou, China, made trade-offs between several hypothetical job scenario combinations of salary, type of health institution, bianzhi (permanent post), work years required for promotion, career development and training opportunities, educational opportunities for children, and community respect. Based on the estimate of the mixed logit model, willingness to pay and policy simulations were applied to estimate the utility of each attribute. RESULTS: Data were collected from 446 PHWs. The PHWs were willing to forgo Chinese Renminbi 2806.1 (US$ 438.5) per month to obtain better education opportunities for their children, making it the most important non-monetary factor. Their preferences were also influenced relatively more by salary, bianzhi, and community respect, than with the other attributes we tested for, work years required for promotion, career development and training opportunities, and type of health institution. CONCLUSION: Salary is a robust predictive factor, while three non-monetary factors (opportunities for children's education, bianzhi, and community respect) are essential in retaining health workers in primary care.

Using stated preference methods to facilitate knowledge translation in implementation science.

Enhancing the arsenal of methods available to shape implementation strategies and bolster knowledge translation is imperative. Stated preference methods, including discrete choice experiments (DCE) and best-worst scaling (BWS), rooted in economics, emerge as robust, theory-driven tools for understanding and influencing the behaviors of both recipients and providers of innovation. This commentary outlines the wide-ranging application of stated preference methods across the implementation continuum, ushering in effective knowledge translation. The prospects for utilizing these methods within implementation science encompass (1) refining and tailoring intervention and implementation strategies, (2) exploring the relative importance of implementation determinants, (3) identifying critical outcomes for key decision-makers, and 4) informing policy prioritization. Operationalizing findings from stated preference research holds the potential to precisely align health products and services with the requisites of patients, providers, communities, and policymakers, thereby realizing equitable impact.

Menu choice stated preference tasks to capture demand complementarity in health.

Health programs/services are often bundled, allowing for both substitution and complementarity. We adapt Discrete Choice Experiments to capture bundling, with application to a case study of exercise and nutrition; complementarity arises due to the goal of improving health. Our contributions are (1) to present a menu-based choice experiment to explore bundling; (2) to analyse the menu-based data using an extension of the choice set generation model (GenL) to account for correlations between bundles and component singles. A nationally representative sample of 333 Australians chose between a nutrition program only; exercise program only; both nutrition and exercise programs; or their status quo. Overall, we show that by incorporating the menu choice task and introducing the combined alternative, we capture a significant portion of the population seeking both exercise and nutrition components. We estimate a latent class GenL model, and identify two latent classes: Class 1 preferred to choose programs on offer, and Class 2 was more price sensitive and had a stronger preference for staying with their status quo. We show in the post-estimation analysis that heterogeneity in preferences translates into heterogeneity in the way alternatives are bundled, indicating that the combined offering is appealing to specific classes of individuals who prefer bundling. By implementing the menu choice task, researchers and policymakers can effectively identify, cater to and influence the demand for combined exercise and nutrition options, leading to more targeted and impactful interventions in promoting healthier lifestyle choices.

Heterogeneity in physician's job preferences in a dual practice context - Evidence from a DCE.

Many countries are facing challenges in recruiting and retaining physicians, particularly in regions where the public and private sectors compete for doctors. Understanding the factors influencing physicians' job choices can help inform policies aimed at attracting and retaining this valuable workforce. This study aims to elicit the strength of physicians' preferences regarding various job-related aspects, including earnings, time flexibility, discussion of clinical cases, frequency of facilities and equipment updates, training opportunities and autonomy in decision making. To achieve this, a Discrete Choice Experiment (DCE) was administered to 697 physicians. Each participant completed a series of eight choice tasks, where they had to choose between two hypothetical jobs differing in these attributes with levels mirroring positions in the public and private sectors in Portugal. The resulting choices were analysed using mixed logit, generalized multinomial logit and latent classes models to account for diverse unobserved variations in physicians' preferences and to explore preference heterogeneity across different observable characteristics. Jobs that offered more autonomy and training opportunities were strongly preferred, as physicians would require additional compensation to work with reduced autonomy (equivalent to 28.62% of gross income) or less frequent training (equivalent to 22.75%). This study also shows that the ranking of the job characteristics is similar between physicians working exclusively in the public sector and those engaged in dual practice. Nevertheless, public sector physicians place more emphasis on the availability of frequent training possibilities and frequent updates of facilities and equipment compared to their counterparts in dual practice. These findings contribute to existing knowledge by highlighting the significance of non-monetary attributes and shedding light on the preferences of physicians across various employment scenarios. They offer valuable insights for policy development aimed at influencing physicians' allocation of time between sectors.