Best-worst Scaling Choice Experiment Research Articles

Measuring Mental Health Service Preferences Amongst Illinois Dairy Producers

ABSTRACT Objectives To mitigate mental health concerns of farmers, research is needed to investigate strategies that encourage help-seeking behavior in this population. This study attempts to identify those help-seeking strategies. Six mental health service options were examined. Methods A survey, implementing a best-worst scaling choice experiment, was disseminated to members of the Illinois Milk Producers Association. Two methods of analysis were conducted. The first, a count-based method, employs a simple count-based approach to measure the relative preferences for the six mental health service options in question. The second is more complex and employs a latent-class logit regression model to measure individual preferences. Results The mental-health service options, ranked in order from most preferred to least preferred were: 1) speak to family and friends, 2) keep it to myself, 3) utilize programs offered by agricultural organizations, 4) search online for self-help resources, 5) talk to a mental health professional, and 6) use “tele-health” support services. Conclusion This study examined an important gap in the literature concerning help-seeking preferences of dairy farmers. It is the first to utilize a choice experiment approach to assess help-seeking preferences among this understudied population. Results provide important empirical evidence to support distinct categories of farmers who may be weighing options regarding how to best address their mental health concerns.

Horse Owner Preferences for Equine Insurance Policies

Equine life and health insurance policies provide coverage for veterinary expenses or the loss of use (or life) of a horse, making horse health care accessible to more owners. Utilizing a best-worst scaling choice experiment targeted to horse owners, the rate of insurance adoption is explored, along with factors influencing insurance decisions and willingness-to-pay for policy attributes. Results indicate owners with lower-valued horses prefer insurance policies which cover medical expenses and routine care, whereas owners with higher-valued horses are willing to pay higher premiums to insure the market value of a horse but are not willing to pay extra for programs covering routine care.

The heterogeneous preferences for conservation and management in urban wetland parks: A case study from China

This study aims to investigate the heterogeneous preferences for ecological services, cultural services and facilities, and information-related facilities in an urban wetland park in Xixi National Wetland Park, China, and explore choice inconsistencies among individuals via a multi-profile best-worst scaling choice experiment. Face-to-face surveys were conducted in the winter 2018 and summer 2019, and 397 valid questionnaires collected. Random parameter logit models and generalized multinomial logit models with relaxed assumptions regarding the correlations among the utility coefficients were applied to capture the heterogeneous preferences and analyze the factors shaping the preferences. The respondents' choice strategies for the best and worst options were found to be inconsistent, but valuable information was still obtained. The results indicate the following. Biodiversity improvement is ranked the most important on average, followed by information-related facilities, cultural facilities and services. The confidence intervals of the average willingness to pay across the best- and worst- option models are USD4.30 to USD4.74(biodiversity improvement), USD1.64 to USD3.35(information-related facilities) and USD1.83 to USD2.04 (cultural facilities and services) . Based on these estimations, the aggregated compensating surplus of the highest improvement strategy is USD13.09∼25.25 million per year. However, heterogeneous preferences were also found. Visitors with higher income value water quality higher. Residence and traveling style also contribute to the formation of preferences. Albeit choice inconsistency exists in almost all the models, visitors without children aged under 18 years old were less confused and need better information-related facilities and cultural services with smaller variances. Additionally, the results indicate that public policy may shape individuals' preferences for natural conservation and management options. These findings add new evidence to the literature that identifies park users' heterogeneous preferences and contribute to an understanding of the trade-offs between conservation and tourism development in urban wetland park designs in the developing world.

Community stakeholder preferences for evidence-based practice implementation strategies in behavioral health: a best-worst scaling choice experiment

BackgroundCommunity behavioral health clinicians, supervisors, and administrators play an essential role in implementing new psychosocial evidence-based practices (EBP) for patients receiving psychiatric care; however, little is known about these stakeholders’ values and preferences for implementation strategies that support EBP use, nor how best to elicit, quantify, or segment their preferences. This study sought to quantify these stakeholders’ preferences for implementation strategies and to identify segments of stakeholders with distinct preferences using a rigorous choice experiment method called best-worst scaling.MethodsA total of 240 clinicians, 74 clinical supervisors, and 29 administrators employed within clinics delivering publicly-funded behavioral health services in a large metropolitan behavioral health system participated in a best-worst scaling choice experiment. Participants evaluated 14 implementation strategies developed through extensive elicitation and pilot work within the target system. Preference weights were generated for each strategy using hierarchical Bayesian estimation. Latent class analysis identified segments of stakeholders with unique preference profiles.ResultsOn average, stakeholders preferred two strategies significantly more than all others—compensation for use of EBP per session and compensation for preparation time to use the EBP (P < .05); two strategies were preferred significantly less than all others—performance feedback via email and performance feedback via leaderboard (P < .05). However, latent class analysis identified four distinct segments of stakeholders with unique preferences: Segment 1 (n = 121, 35%) strongly preferred financial incentives over all other approaches and included more administrators; Segment 2 (n = 80, 23%) preferred technology-based strategies and was younger, on average; Segment 3 (n = 52, 15%) preferred an improved waiting room to enhance client readiness, strongly disliked any type of clinical consultation, and had the lowest participation in local EBP training initiatives; Segment 4 (n = 90, 26%) strongly preferred clinical consultation strategies and included more clinicians in substance use clinics.ConclusionsThe presence of four heterogeneous subpopulations within this large group of clinicians, supervisors, and administrators suggests optimal implementation may be achieved through targeted strategies derived via elicitation of stakeholder preferences. Best-worst scaling is a feasible and rigorous method for eliciting stakeholders’ implementation preferences and identifying subpopulations with unique preferences in behavioral health settings.

Smallholders' perceptions and preferences for market attributes promoting sustained participation in modern agricultural value chains

Connecting smallholder farmers to modern agricultural value chains (henceforth high-value markets [HVMs]) represents a credible pathway to improving the welfare of farmers in developing countries. Smallholder exit rates from HVMs remains high, raising concerns about their sustained participation of smallholders in HVMs. We conduct a Best-Worst Scaling choice experiment with horticultural farmers in Kenya to understand their perceptions and preferences for market attributes that could promote sustained participation in HVMs. A unique feature of our study examines smallholders' best or worst choice consistency as means to further understand their thought process. Our results reveal that smallholders mostly expressed preference for a flexible incentive-based pricing option and long-term formal relationships with their buyers. Delayed payments and high investment requirements were the worst market attributes chosen by smallholders. Preference heterogeneity was driven by the farming experience, gender, income and location of the farmers. We find that smallholders are well aware of conditions that might motivate exit from HVMs relative to conditions that facilitate participation in HVMs. Our findings demonstrate the relevance of various key market attributes central to participation in HVMs, while teasing out the various coordination roles cooperatives, non-governmental organisations can play in facilitating sustained smallholder participation in HVMs.

A patient-centered composite endpoint weighting technique for orthopaedic trauma research

BackgroundThis study aimed to address the current limitations of the use of composite endpoints in orthopaedic trauma research by quantifying the relative importance of clinical outcomes common to orthopaedic trauma patients and use those values to develop a patient-centered composite endpoint weighting technique.MethodsA Best-Worst Scaling choice experiment was administered to 396 adult surgically-treated fracture patients. Respondents were presented with ten choice sets, each consisting of three out of ten plausible clinical outcomes. Hierarchical Bayesian modeling was used to determine the utilities associated with the outcomes.ResultsDeath was the outcome of greatest importance (mean utility = − 8.91), followed by above knee amputation (− 7.66), below knee amputation (− 6.97), severe pain (− 5.90), deep surgical site infection (SSI) (− 5.69), bone healing complications (− 5.20), and moderate pain (− 4.59). Mild pain (− 3.30) and superficial SSI (− 3.29), on the other hand, were the outcomes of least importance to respondents.ConclusionThis study revealed that patients’ relative importance towards clinical outcomes followed a logical gradient, with distinct and quantifiable preferences for each possible component outcome. These findings were incorporated into a novel composite endpoint weighting technique.

FARMER PERCEPTIONS OF PRECISION AGRICULTURE TECHNOLOGY BENEFITS

AbstractThe objective of this research was to evaluate producers’ perspectives of four key precision agriculture technologies (variable rate fertilizer application, precision soil sampling, guidance and autosteer, and yield monitoring) in terms of the benefits they provide to their farms (increased yield, reduced production costs, and increased convenience) using a best-worst scaling choice experiment. Results indicate that farmers’ perceptions of the benefits derived from various precision agriculture technologies are heterogeneous. To better understand farmers’ adoption decisions, or lack thereof, it is important to first understand their perceptions of the benefits precision agriculture technologies provide.

Creating Voluntary Payment Programs: Effective Program Design and Ranchers’ Willingness to Conserve Florida Panther Habitat

Landowner resistance to Endangered Species Act regulations is a key conservation challenge. In 2014 the U.S. Fish and Wildlife Service proposed that a mix of payments for ecosystem services and regulatory assurances be implemented to encourage cattle ranchers’ participation in Florida panther recovery efforts. To identify cattle ranchers’ preferences for the proposed programs, we implemented a best-worst scaling choice experiment. Our results suggest that voluntary conservation programs are most likely to enroll politically conservative landowners if these programs provide per acre payments or tax reductions, are of shorter duration, and do not require overly intrusive or restrictive levels of monitoring to ensure compliance.

Healthcare Worker Preferences for Active Tuberculosis Case Finding Programs in South Africa: A Best-Worst Scaling Choice Experiment.

ObjectiveHealthcare workers (HCWs) in South Africa are at a high risk of developing active tuberculosis (TB) due to their occupational exposures. This study aimed to systematically quantify and compare the preferred attributes of an active TB case finding program for HCWs in South Africa.MethodsA Best–Worst Scaling choice experiment estimated HCW’s preferences using a random-effects conditional logit model. Latent class analysis (LCA) was used to explore heterogeneity in preferences.Results“No cost”, “the assurance of confidentiality”, “no wait” and testing at the occupational health unit at one’s hospital were the most preferred attributes. LCA identified a four class model with consistent differences in preference strength. Sex, occupation, and the time since a previous TB test were statistically significant predictors of class membership.ConclusionsThe findings support the strengthening of occupational health units in South Africa to offer free and confidential active TB case finding programs for HCWs with minimal wait times. There is considerable variation in active TB case finding preferences amongst HCWs of different gender, occupation, and testing history. Attention to heterogeneity in preferences should optimize screening utilization of target HCW populations.

Eliciting older people's preferences for exercise programs: a best-worst scaling choice experiment.

What relative value do older people with a previous fall or mobility-related disability attach to different attributes of exercise? Prospective, best-worst scaling study. Two hundred and twenty community-dwelling people, aged 60 years or older, who presented with a previous fall or mobility-related disability. Online or face-to-face questionnaire. Utility values for different exercise attributes and levels. The utility levels were calculated by asking participants to select the attribute that they considered to be the best (ie, they were most likely to want to participate in programs with this attribute) and worst (ie, least likely to want to participate). The attributes included were: exercise type; time spent on exercise per day; frequency; transport type; travel time; out-of-pocket costs; reduction in the chance of falling; and improvement in the ability to undertake tasks inside and outside of home. The attributes of exercise programs with the highest utility values were: home-based exercise and no need to use transport, followed by an improvement of 60% in the ability to do daily tasks at home, no costs, and decreasing the chances of falling to 0%. The attributes with the lowest utility were travel time of 30 minutes or more and out-of-pocket costs of AUD50 per session. The type of exercise, travel time and costs are more highly valued by older people than the health benefits. These findings suggest that physical activity engagement strategies need to go beyond education about health benefits and focus on improving accessibility to exercise programs. Exercise that can be undertaken at or close to home without any cost is most likely to be taken up by older people with past falls and/or mobility-related disability.