Preferences for cardiovascular and pulmonary rehabilitation care: A discrete choice experiment among patients in Lebanon.

OBJECTIVE: Patient preferences are important in designing optimal rehabilitation care. The aim of this study is to assess preferences for rehabilitation care among two groups of respondents. DESIGN: An online discrete choice experiment survey was carried out. SETTING: We use data for Lebanon, a country where rehabilitation care is still underdeveloped. PARTICIPANTS: Patients who have undergone or are currently undergoing rehabilitation treatment (users) and those who have not (yet) used rehabilitation care (non-users). INTERVENTION: Patients were asked to repeatedly choose between two hypothetical rehabilitation care packages with seven different attributes: attitude of the staff, travel time to clinic, out-of-pocket costs, medical equipment, rehabilitation plan, additional lifestyle education session, and support during rehabilitation care. MAIN MEASURES: Preference heterogeneity among patients with different characteristics was investigated using random effect binary logistic regression (software package Stata 15). RESULTS: In total, 126 respondents completed the survey. The most preferred attribute was an informal and friendly attitude of the staff followed by modern medical equipment, additional lifestyle education session via eHealth, and support during the rehabilitation program via phone call or SMS. Respondents were less in favor of going to the rehabilitation clinic and paying additional out-of-pocket costs for the rehabilitation treatment. This rank order was similar between users and non-users. CONCLUSION: Preferences of patients regarding the type of program chosen (eHealth or at clinical-based) need to be included in future rehabilitation programs. Improving patient experience with rehabilitation programs by giving the best care based on a patient-centered approach is essential.

An evaluation of preference stability within MSWO preference assessments for children with autism.

Previous research has commonly evaluated preference stability over time and across multiple preference assessment administrations. No studies have evaluated shifts in preference across consecutive rounds of a single preference assessment, where rounds refer to each time the experimenter resets the stimulus-presentation array. The purpose of the present study was to examine the stability of stimulus selections across successive rounds of a multiple-stimulus-without-replacement (MSWO) preference assessment with different classes of stimuli for children with autism. The study involved a secondary data analysis and calculation of preference stability across consecutive rounds using Spearman rank-order correlation coefficients (Spearman's ρ ) for 17 participants across 40 MSWO preference assessments. Patterns of preference stability were observed in 24 out of the 40 assessments (60%) indicating that children's preferences in this study were slightly more likely to be classified as stable than other observed patterns of responding.

Understanding the role of personal experiences and contextual variables in shaping risk reduction preferences.

This article explores how preferences for risk reduction during the COVID-19 pandemic are influenced by personal experiences and contextual variables such as having a close friend or relative who has been infected by the virus (closeness), the severity of the illness (severity), people's own perceptions of being in a risky group (risk group), change in employment status due to the pandemic (employment situation), and vaccination status (vaccination status and altruistic vaccination). We conducted a choice experiment (CE) in Chile, Colombia, and Costa Rica. The attributes of the experiment were risk reduction, latency, and cost. Then, we estimated a mixed logit model to capture preference heterogeneity across the countries. The attributes presented in the CE were statistically significant, with the expected sign in each country. The variables closeness and employment situation presented homogeneous behavior in each country; however, severity, risk group, and vaccination status showed mixed results. We found that preferences were more heterogeneous for the attributes of the CE than for the personal experiences and contextual variables. Understanding the impact of these variables is essential for generating more effective risk reduction policies. For instance, methodologies such as the value of statistical life base their calculations on society's valuation of risk reduction. We provide evidence that the preferences for risk reduction vary due to the everyday situations that individuals face in the context of the pandemic. The latter may cause distortions in the values used to evaluate policies aimed at mitigating the outbreak.

Public Preferences for Introducing a COVID-19 Certificate: A Discrete Choice Experiment in the Netherlands.

OBJECTIVE: Here we investigate public preferences for coronavirus disease 2019 (COVID-19) certificates in the Netherlands, and whether these preferences differ between subgroups in the population. METHODS: A survey including a discrete choice experiment was administered to 1500 members of the adult population of the Netherlands. Each participant was asked to choose between hypothetical COVID-19 certificates that differed in seven attributes: the starting date, and whether the certificate allowed gathering with multiple people, shopping without appointment, visiting bars and restaurants, visiting cinemas and theatres, attending events, and practising indoor sports. Latent class models (LCMs) were used to determine the attribute relative importance and predicted acceptance rate of hypothetical certificates. RESULTS: Three classes of preference patterns were identified in the LCM. One class a priori opposed a certificate (only two attributes influencing preferences), another class was relatively neutral and included all attributes in their decision making, and the final class was positive towards a certificate. Respondents aged > 65 years and those who plan to get vaccinated were more likely to belong to the latter two classes. Being allowed to shop without appointment and to visit bars and restaurants was most important to all respondents, increasing predicted acceptance rate by 12 percentage points. CONCLUSIONS: Preferences for introduction of a COVID-19 certificate are mixed. A certificate that allows for shopping without appointment and visiting bars and restaurants is likely to increase acceptance. The support of younger citizens and those who plan to get vaccinated seems most sensitive to the specific freedoms granted by a COVID-19 certificate.

The COVID-19 vaccination decision-making preferences of elderly people: a discrete choice experiment.

COVID-19 is a continuing threat to global public health security. For elderly people, timely and effective vaccination reduces infection rates in this group and safeguards their health. This paper adopted an offline Discrete Choice Experiment (DCE) to research the preference for COVID-19 vaccination amongst Chinese adults aged 50 years and above. Through multinomial logistic regression analysis, our DCE leverages five attributes-the risk of adverse reactions, protective duration, injection doses, injection period, and effectiveness-each of which is split into three to four levels. The risk of adverse reaction and the protective duration were demonstrated to be determinants of vaccination preference. Moreover, it was found that socio demographic factors like region, self-health assessment and the number of vaccinated household members can strengthen or weaken the effects of vaccine attributes. In conclusion, the preferences of the elderly population should be considered when developing COVID-19 vaccination programs for this population in China. Accordingly, the results may provide useful information for policymakers to develop tailored, effectively vaccination strategies.

Examination of Preferences for COVID-19 Vaccines in Hungary Based on Their Properties-Examining the Impact of Pandemic Awareness with a Hybrid Choice Approach.

The COVID-19 pandemic has posed a huge challenge to the world in recent years. The development of vaccines that are as effective as possible and accessible to society offers a promising alternative for addressing the problems caused by this situation as soon as possible and to restore the pre-epidemic system. The present study investigated the preferences of residents in Hungary's second-largest city (Debrecen) for the COVID-19 vaccine. To achieve this aim, a discrete choice experiment was conducted with 1011 participants, and the vaccine characteristics included in the design of the experiment were determined by qualitative methods and a pilot survey: (1) country of origin; (2) efficiency; (3) side effect; and (4) duration of protection. During the data collection at three vaccination sites, respondents were asked to choose between three vaccine alternatives and one "no choice" option in eight decision situations. Discrete choice model estimations were performed using a random parameter logit (RPL) specification with the final model extended to include a latent variable measuring pandemic awareness. The results showed that the vaccine with a Chinese country of origin is the least preferred among the respondents, while the Hungarian and the European vaccines are the most preferred. Furthermore, the increase in the vaccine efficiency level increased the respondents' sense of utility for the vaccine; the short-term side effect was preferred to the long-term one; and the increase in the duration of protection provided by the vaccine increased the respondents' sense of utility for the vaccine. Based on the parameter estimated for the latent variable, it can be concluded that as the level of pandemic awareness (which is more positive among people with chronic diseases and less important among health workers) increases, the choice of a vaccine option becomes more preferred among respondents compared to the "no choice". The results of our investigation could contribute towards increasing compliance in the case of the vaccination-rejecting population, not only for COVID-19, but for any kind of vaccination procedure.

Stability of Stated Preferences: Vaccine Priority Setting before and during the First COVID-19 Lockdown.

BACKGROUND: Discrete choice experiments (DCEs) are frequently used to study preferences and quantify tradeoffs in decision making. It is important to understand how stable their results are. OBJECTIVE: To investigate to what extent an extreme change in context, the COVID-19 pandemic, affected preferences for vaccine priority setting, as observed in an earlier DCE. METHODS: We replicated a DCE in which participants had to prioritize vaccination programs for public funding. The initial DCE was executed in Flanders (Belgium) right before the onset of the SARS-CoV-2 pandemic (December 2019, N = 1,636). The replicated DCE was executed 6 months later when the population was in lockdown (April 2020, N = 1,127). A total of 612 respondents participated in both waves of the DCE. We used panel mixed logit models to quantify attribute and level importance and compared utility estimates for consistency. RESULTS: The number of vaccine-preventable deaths became less important during the pandemic than before, whereas the influential attributes, the vaccine's contribution to disease eradication and certainty about vaccine effectiveness became even more important. Respondents attached equal importance to the number of patients with transient or permanent morbidity, to the disease's economic impact as well as to its equity profile. CONCLUSION: Different preferences for vaccine priority setting were observed during the first COVID-19 lockdown as compared with before, although these differences were, given the extreme nature of the changing circumstances, relatively small. HIGHLIGHTS: We replicated a discrete choice experiment (DCE) about vaccine priority setting during the first COVID-19 lockdown and compared results with those from the original setting.The major attributes, contribution to disease eradication, and scientific certainty about vaccine effectiveness became even more important than they already were, whereas avoidable mortality became less important.Respondents attached equal importance to the number of patients with transient or permanent morbidity, to the disease's economic impact as well as to its equity profile.An extreme change in directly related context to the choice assignment led to changes in stated preferences, although these changes were relatively small, given the extreme change in context.Priorities in the second DCE were even less aligned with cost-effectiveness analysis than those observed initially.

Trade-offs during the COVID-19 pandemic: A discrete choice experiment about policy preferences in Portugal.

The need to control the sanitary situation during the COVID-19 pandemic has led governments to implement several restrictions with substantial social and economic impacts. We explored people's trade-offs in terms of their income, life restrictions, education, and poverty in the society, compared to their willingness to avoid deaths. We applied a web-based discrete choice experiment to elicit preferences of the Portuguese citizens for these attributes and computed the marginal rate of substitution in terms of avoided deaths. We recorded 2,191 responses that faced the possibility of having 250 COVID-19 related deaths per day as the worst possible outcome from the choice levels presented. Estimates suggested that individuals would be willing to sacrifice 30% instead of 10% of their income to avoid approximately 47 deaths per day during the first six months of 2021. For the same period, they would also accept 30% of the students' population to become educationally impaired, instead of 10%, to avoid approximately 25 deaths; a strict lockdown, instead of mild life restrictions, to avoid approximately 24 deaths; and 45% of the population to be in risk of poverty, instead of 25%, to avoid approximately 101 deaths. Our paper shows that avoiding deaths was strongly preferred to the remaining societal impacts; and that being a female, as well as working on site, led individuals to be more averse to such health hazards. Furthermore, we show how a DCE can be used to assess the societal support to decision-making during times of crisis.

The Relative Importance of Vulnerability and Efficiency in COVID-19 Contact Tracing Programmes: A Discrete Choice Experiment.

Objectives: This study aims to assess the trade-offs between vulnerability and efficiency attributes of contact tracing programmes based on preferences of COVID-19 contact tracing practitioners, researchers and other relevant stakeholders at the global level. Methods: We conducted an online discrete choice experiment (DCE). Respondents were recruited globally to explore preferences according to country income level and the prevailing epidemiology of COVID-19 in the local setting. The DCE attributes represented efficiency (timeliness, completeness, number of contacts), vulnerability (vulnerable population), cooperation and privacy. A mixed-logit model and latent class analysis were used. Results: The number of respondents was 181. Timeliness was the most important attribute regardless of country income level and COVID-19 epidemiological condition. Vulnerability of contacts was the second most important attribute for low-to-lower-middle-income countries and third for upper-middle-to-high income countries. When normalised against conditional relative importance of timeliness, conditional relative importance of vulnerability ranged from 0.38 to 0.42. Conclusion: Vulnerability and efficiency criteria were both considered to be important attributes of contact tracing programmes. However, the relative values placed on these criteria varied significantly between epidemiological and economic context.

Vaccine preferences driving vaccine-decision making of different target groups: a systematic review of choice-based experiments.

BACKGROUND: Choice-based experiments have been increasingly used to elicit preferences for vaccines and vaccination programs. This study aims to systematically identify and examine choice-based experiments assessing (differences in) vaccine preferences of vaccinees, representatives and health advisors. METHODS: Five electronic databases were searched on choice-based conjoint analysis studies or discrete choice experiments capturing vaccine preferences of children, adolescents, parents, adults and healthcare professionals for attributes of vaccines or vaccine settings up to September 2020. Data was extracted using a standardized form covering all important aspects of choice experiments. A quality assessment was used to assess the validity of studies. Attributes were categorized into outcome, process, cost and other. The importance of attributes was assessed by the frequency of reporting and statistical significance. Results were compared between high-quality studies and lower-quality studies. RESULTS: A total of 42 studies were included, with the majority conducted in high-income countries after 2010 (resp. n = 34 and n = 37). Preferences of representatives were studied in nearly half of the studies (47.6%), followed by vaccinees (35.7%) and health advisors (9.5%). Sixteen high-quality studies passed the quality assessment. Outcome- and cost- related attributes such as vaccine effectiveness, vaccine risk, cost and protection duration were most often statistically significant across both target groups, with vaccine effectiveness being the most important. Risks associated with vaccination, such as side effects, were more often statistically significant in studies targeting vaccinees, while cost-related attributes were more often statistically significant in studies of representatives. Process-related attributes such as vaccine accessibility and time were least important across both target groups. CONCLUSION: To our knowledge, this is the first systematic review in which vaccine preferences of different target groups were assessed and compared. The same attributes were most important for vaccine decisions of vaccinees and representatives, with only minor differences in level of evidence for vaccine risk and cost. Future research on vaccine preferences of health advisors and/or among target groups in low-resource settings would give insight into the generalizability of current findings.

Optimizing the Practice Environment for Medical Staff in the Post-pandemic Era: A Discrete Choice Experiment.

Objective: This study aimed to elicit the stated job preferences of Chinese medical staff in the post-pandemic era and identify the relative importance of different factors in the practice environment. Methods: We used an online discrete choice experiment (DCE) survey instrument to elicit the job preferences of medical staff (doctors and nurses) in tertiary hospitals in Anhui, China. Attributes and levels were generated using qualitative methods, and four attributes were considered: career development, workload, respect from society, and monthly income. A set of profiles was created using a D-efficient design. The data were analyzed considering potential preference heterogeneity, using the conditional logit model and the latent class logit (LCL) model. Results: A total of 789 valid questionnaires were included in the analysis, with an effective response rate of 73.33%. Career development, workload, respect from society, and monthly income were significant factors that influenced job preferences. Three classes were identified based on the LCL model, and preference heterogeneity among different medical staff was demonstrated. Class 1 (16.17%) and Class 2 (43.51%) valued respect from society most, whereas Class 3 (40.32%) prioritized monthly income. We found that when respect from society was raised to a satisfactory level (50-75% positive reviews), the probability of medical staff choosing a certain job increased by 69.9%. Conclusion: Respect from society was the most preferred attribute, while workload, monthly income, and career development were all key factors in the medical staff's job choices. The heterogeneity of the medical professionals' preferences shows that effective policy interventions should be customized to accommodate these drive preferences.

The Impact of COVID-19 on Travel Mode Choice Behavior in Terms of Shared Mobility: A Case Study in Beijing, China.

Shared mobility is growing rapidly and changing the mobility landscape. The COVID-19 pandemic has complicated travel mode choice behavior in terms of shared mobility, but the evidence on this impact is limited. To fill this gap, this paper first designs a stated preference survey to collect mode choice data before and during the pandemic. Different shared mobility services are considered, including ride hailing, ride sharing, car sharing, and bike sharing. Then, latent class analysis is used to divide the population in terms of their attitudes toward shared mobility. Nested logit models are applied to compare travel mode choice behavior during the two periods. The results suggest that shared mobility has the potential to avoid the high transmission risk of public transport and alleviate the intensity of private car use in the COVID-19 context, but this is limited by anxiety about shared spaces. As the perceived severity of the pandemic increases, preference for ride hailing and ride sharing decreases, and a price discount for ride hailing is more effective than that for ride sharing at maintaining the ridership despite the impact of COVID-19. These findings contribute to understanding the change in travel demand and developing appropriate strategies for shared mobility services to adapt to the pandemic.

Nudging societally relevant behavior by promoting cognitive inferences.

Effective behavioral interventions are essential to address urgent societal challenges. Over the past decade, nudging interventions (i.e., arranging the environment to promote adaptive behavioral choices) have surged in popularity. Importantly, effective application of the nudging approach requires clear guiding principles with a firm basis in behavioral science. We present a framework for nudging interventions that builds on evidence about the goal-directed inferential processes underlying behavior (i.e., processes that involve context-dependent inferences about goals and the actions available to achieve these goals). We used this framework to develop nudging interventions that target context-relevant cognitive inferences. We examined the effectiveness of these inference nudging interventions for promoting two important types of societal behavior: pro-environmental actions and adherence to COVID-19 guidelines. As predicted, two online studies revealed that inference nudging interventions successfully increased energy conservation (Study 1) as well as social distancing during the COVID-19 crisis (Study 2). A field experiment found that inference nudging interventions increased hand disinfection in a real-life store during the COVID-19 crisis (Study 3). Our findings highlight the importance of applying state-of-the-art insights about the (inferential) determinants of behavior in behavior change interventions.

Tackling brain drain at Chinese CDCs: understanding job preferences of public health doctoral students using a discrete choice experiment survey.

BACKGROUND: Given the demands for public health and infectious disease management skills during COVID-19, a shortage of the public health workforce, particularly with skills and competencies in epidemiology and biostatistics, has emerged at the Centers for Disease Controls (CDCs) in China. This study aims to investigate the employment preferences of doctoral students majoring in epidemiology and biostatistics, to inform policy-makers and future employers to address recruitment and retention requirements at CDCs across China. METHODS: A convenience sampling approach for recruitment, and an online discrete choice experiment (DCE) survey instrument to elicit future employee profiles, and self-report of their employment and aspirational preferences during October 20 and November 12, 2020. Attributes included monthly income, employment location, housing benefits, children's education opportunities, working environment, career promotion speed and bianzhi (formally established post). RESULTS: A total of 106 doctoral epidemiology and biostatistics students from 28 universities completed the online survey. Monthly income, employment location and bianzhi was of highest concern in the seven attributes measured, though all attributes were statistically significant and presented in the expected direction, demonstrating preference heterogeneity. Work environment was of least concern. For the subgroup analysis, employment located in a first-tier city was more likely to lead to a higher utility value for PhD students who were women, married, from an urban area and had a high annual family income. Unsurprisingly, when compared to single students, married students were willing to forgo more for good educational opportunities for their children. The simulation results suggest that, given our base case, increasing only monthly income from 10,000 ($ 1449.1) to 25,000 CNY ($ 3622.7) the probability of choosing the job in the third-tier city would increase from 18.1 to 53.8% (i.e., the location choice is changed). CONCLUSION: Monthly income and employment location were the preferred attributes across the cohort, with other attributes then clearly ranked and delineated. A wider use of DCEs could inform both recruitment and retention of a public health workforce, especially for CDCs in third-tier cities where resource constraints preclude all the strategies discussed here.

Public Preferences for Policies to Promote COVID-19 Vaccination Uptake: A Discrete Choice Experiment in The Netherlands.

OBJECTIVES: The COVID-19 pandemic forms an unprecedented public health, economic, and social crisis. Uptake of vaccination is critical for controlling the pandemic. Nevertheless, vaccination hesitancy is considerable, requiring policies to promote uptake. We investigate Dutch citizens' preferences for policies that aim to promote vaccination through facilitating choice of vaccination, profiling it as the norm, making vaccination more attractive through rewards, or punishing people who reject vaccination. METHODS: We conducted a discrete choice experiment in which 747 respondents were asked to choose between policies to promote vaccination uptake and their impacts on the number of deaths, people with permanent health problems, households with income loss, and a tax increase. RESULTS: Respondents generally had a negative preference for policies that promote vaccination. They particularly disliked policies that punish those who reject the vaccine and were more favorable toward policies that reward vaccination, such as awarding additional rights to vaccinated individuals through vaccination passports. Respondents who reject vaccination were in general much more negative about the policy options than respondents who consider accepting the vaccine. Nevertheless, vaccination passports are supported by both respondents who accept the vaccine, those who reject vaccination, and those who are unsure about vaccination. CONCLUSIONS: This study provides concrete directions for governments attempting to increase the vaccination uptake in ways that are supported by the public. Our results could encourage policy makers to focus on policy options that make vaccination easier and reward people who take the vaccine, as especially the implementation of vaccination passports was supported.

Associations of mothers' and fathers' structure-related food parenting practices and child food approach eating behaviors during the COVID pandemic.

BACKGROUND: During the COVID-19 pandemic, many mothers and fathers have spent more time at home with their children, warranting consideration of parenting practices around food during the pandemic as influences on obesogenic eating behaviors among children. Structure-related feeding practices, particularly around snacking, may be particularly challenging yet influential in the pandemic setting. Parent sex and levels of feeding-related co-operation among parents (co-feeding) are understudied potential influences on parent-child feeding relationships. METHODS: We investigated relationships between structure-related parent feeding and child food approach behaviors during the COVID-19 pandemic, while considering potential moderating influences of parent sex and co-feeding levels. An online survey was completed by 318 parents (206 mothers and 112 fathers) of 2-12-year-olds who were living in states with statewide or regional lockdowns in May/June 2020 within the US. Mothers and fathers were drawn from different families, with each survey corresponding to a unique parent-child dyad. Parental stress/mental health, co-feeding (Feeding Coparenting Scale), structure-related food and snack parenting (Feeding Practices and Structure Questionnaire and Parenting around SNAcking Questionnaire), and child eating behaviors (Child Eating Behaviour Questionnaire) were assessed. Relationships of parents' structure-related food and snack parenting practices with their child's emotional overeating and food responsiveness behaviors were examined using structural equation modelling. Further, we investigated whether these relations were moderated by parent sex or level of co-feeding. RESULTS: Parent sex differences were seen in parental stress, mental health, and co-feeding, but not in structure-related food and snack parenting or child food approach eating behaviors. Structure-related food parenting was negatively associated with emotional overeating. However, structure-related snack parenting was positively associated with emotional overeating and food responsiveness. While regression paths varied between mothers vs. fathers, as well as by co-feeding levels, neither parent sex nor co-feeding levels significantly moderated relationships between parent feeding and child eating variables. CONCLUSIONS: Future studies of food and snack parenting and co-operation in relation to feeding among mothers and fathers within a familial unit may be critical to identify intervention strategies that draw on all family resources to better navigate future disruptive events such as the COVID-19 pandemic.

Why Don't You [Government] Help Us Make Healthier Foods More Affordable Instead of Bombarding Us with Labels? Maternal Knowledge, Perceptions, and Practices after Full Implementation of the Chilean Food Labelling Law.

Experimental and real-life evaluations show that the use of front-of-package warning labels (FoP) in unhealthy foods is well understood and can modify people's behaviors. However, it is unclear whether these effects remain in the long term because of the risk of message fatigue. The purpose of this study is to explore after four years of implementation of the Chilean Food Labelling law people's dietary behavior and FoP labels attention. Nine focus groups of mothers (7-10 people each) of children (2-14 yo) were conducted in Santiago, Chile, and macrocodes were developed, combining an iterative process of deductive and inductive thematic analyses. We found that mothers experienced labels' fatigue but also had greater knowledge about nutrition and appreciation for more natural foods. This greater knowledge about better nutrition interferes with the perception that healthier and less processed foods are financial and physically inaccessible. The key role of schools as an environment for promoting healthier diets in children was strengthened by the mothers. These results suggest that policies based on providing consumer information need reinforcement campaigns to maintain their effectiveness and that we also need to advance policies to improve access and affordability of healthy foods to ensure better diets.