Heather Rimas

Modeling the Bullying Prevention Program Preferences of Educators: A Discrete Choice Conjoint Experiment

We used discrete choice conjoint analysis to model the bullying prevention program preferences of educators. Using themes from computerized decision support lab focus groups (n = 45 educators), we composed 20 three-level bullying prevention program design attributes. Each of 1,176 educators completed 25 choice tasks presenting experimentally varied combinations of the study’s attribute levels. Latent class analysis yielded three segments with different preferences. Decision Sensitive educators (31%) preferred that individual schools select bullying prevention programs. In contrast, Support Sensitive educators (51%) preferred that local school boards chose bullying prevention programs. This segment preferred more logistical and social support at every stage of the adoption, training, implementation, and long term maintenance processes. Cost Sensitive educators (16%) showed a stronger preference for programs minimizing costs, training, and implementation time demands. They felt prevention programs were less effective and that the time and space in the curriculum for bullying prevention was less adequate. They were less likely to believe that bullying prevention was their responsibility and more likely to agree that prevention was the responsibility of parents. All segments preferred programs supported by the anecdotal reports of colleagues from other schools rather than those based on scientific evidence. To ensure that the bullying prevention options available reflect the complex combination of attributes influencing real world adoption decisions, program developers need to accommodate the differing views of the Decision, Support, and Cost Sensitive segments while maximizing the support of parents and students.

Providing Information to Parents of Children with Mental Health Problems: A Discrete Choice Conjoint Analysis of Professional Preferences

We used discrete choice conjoint analysis to model the ways 645 children’s mental health (CMH) professionals preferred to provide information to parents seeking CMH services. Participants completed 20 choice tasks presenting experimentally varied combinations of the study’s 14 4-level CMH information transfer attributes. Latent class analysis revealed three segments. Open Access professionals (32.2%) preferred that intake workers automatically provide all parents with CMH information. They preferred information prepared by professional organizations and located at accessible settings such as public schools. They responded favorably to the internet as a source of information for parents. Controlled Access professionals (22.2%) preferred information that was approved and recommended by a child’s therapist, prepared by an experienced clinician, and located at hospitals and CMH clinics. Process Sensitive professionals (45.6%) showed a stronger preference for active learning materials with parenting groups and therapist “coaching” calls supporting the knowledge transfer process. Simulations suggested that realizing the benefits of CMH information requires the development of knowledge transfer strategies that align the preferences of professionals with those of the families they serve.

A Discrete Choice Conjoint Experiment to Evaluate Parent Preferences for Treatment of Young, Medication Naive Children with ADHD

The current study examined treatment preferences of 183 parents of young (average age = 5.8 years, SD = 0.6), medication naive children with ADHD. Preferences were evaluated using a discrete choice experiment in which parents made choices between different combinations of treatment characteristics, outcomes, and costs. Latent class analysis yielded two segments of parents: (a) medication avoidant parents constituted 70.5% of the sample whose treatment decisions were strongly influenced by a desire to avoid medication, and (b) outcome oriented parents constituted 29.5% of the sample whose treatment decisions were most influenced by a desire for positive treatment outcomes. Parents in the outcome oriented segment were more stressed and depressed, had lower socioeconomic status and education, were more likely to be single parents, and had more disruptive and impaired children. Simulations predicted that parents would prefer treatments with behavior therapy over treatments with stimulant medication only.

Modeling Mental Health Information Preferences During the Early Adult Years: A Discrete Choice Conjoint Experiment

Although most young adults with mood and anxiety disorders do not seek treatment, those who are better informed about mental health problems are more likely to use services. The authors used conjoint analysis to model strategies for providing information about anxiety and depression to young adults. Participants (N = 1,035) completed 17 choice tasks presenting combinations of 15 four-level attributes of a mental health information strategy. Latent class analysis yielded 3 segments. The virtual segment (28.7%) preferred working independently on the Internet to obtain information recommended by young adults who had experienced anxiety or depression. Self-assessment options and links to service providers were more important to this segment. Conventional participants (30.1%) preferred books or pamphlets recommended by a doctor, endorsed by mental health professionals, and used with a doctors support. They would devote more time to information acquisition but were less likely to use Internet social networking options. Brief sources of information were more important to the low interest segment (41.2%). All segments preferred information about alternative ways to reduce anxiety or depression rather than psychological approaches or medication. Maximizing the use of information requires active and passive approaches delivered through old-media (e.g., books) and new-media (e.g., Internet) channels.

Using Conjoint Analysis to Model the Preferences of Different Patient Segments for Attributes of Patient-Centered Care

AbstractBackground: A consensus regarding the components of a patient-centered approach to healthcare does not exist. Although patient-centered care should be predicated on patient preferences, existing models provide little evidence regarding the relative importance of different care processes to patients themselves. Objective: To involve patients in the design of a model of patient-centered care for a corporation of Canadian teaching hospitals. Methods: Using themes from focus groups and interviews, a conjoint survey was developed comprising 14 four-level patient-centered care attributes. Sawtooth Software’s Choice Based Conjoint module (version 2.6.7) was used to design the survey. Each participant completed 15 choice tasks, each task presenting a choice between three hospitals described by a different combination of patient-centered care attribute levels. Latent class analysis was used to identify segments of participants with similar patient-centered care choice patterns. Randomized First Choice simulations were used to predict the percentage of participants in each segment who would choose different approaches to improving patient-centered care.Representative hospital service users were recruited from a corporation of five Canadian teaching hospitals serving a regional population of 2.2 million. Results: A total of 508 patients and family members of children completed a choice-based conjoint survey. Latent class analysis revealed two segments: an informed care segment and a convenient care segment. Participants in the informed care segment (71.3% of the sample) were more likely to have higher education, be non-immigrants, speak English as a first language, and be outpatients or family members.The information needed to understand health concerns, an opportunity to learn health improvement skills, teams that communicated effectively, short waiting times, and collaborative treatment planning were more important to the informed care segment than to the convenient care segment. Convenient settings, a welcoming environment, and ease of internal access exerted a greater influence on the choices made by the convenient care segment. Both segments preferred hospitals that provided health information and gave prompt feedback on patient progress. Conclusions: This study suggests that many patients would exchange an increase in waiting times for prompt feedback, information, and the skills to improve their health.

Modeling Parenting Programs as an Interim Service for Families Waiting for Children's Mental Health Treatment

Using a discrete choice conjoint experiment, we explored the design of parenting programs as an interim strategy for families waiting for childrens mental health treatment. Latent class analysis yielded 4 segments with different design preferences. Simulations predicted the Fast-Paced Personal Contact segment, 22.1% of the sample, would prefer weekly therapist-led parenting groups. The Moderate-Paced Personal Contact segment (24.7%) preferred twice-monthly therapist-led parenting groups with twice-monthly lessons. The Moderate-Paced E–Contact segment (36.3%), preferred weekly to twice-monthly contacts, e-mail networking, and a program combining therapist-led sessions with the support of a computerized telephone e-coach. The Slow-Paced E–Contact segment (16.9%) preferred an approach combining monthly therapist-led sessions, e-coaching, and e-mail networking with other parents. Simulations predicted 45.3% of parents would utilize an option combining 5 therapist coaching calls with 5 e-coaching calls, a model that could reduce costs and extend the availability of interim services. Although 41.0% preferred weekly pacing, 58% were predicted to choose an interim parenting service conducted at a twice-monthly to monthly pace. The results of this study suggest that developing interim services reflecting parental preferences requires a choice of formats that includes parenting groups, telephone-coached distance programs, and e-coaching options conducted at a flexible pace.

Modeling the anti-cyberbullying preferences of university students: Adaptive choice-based conjoint analysis

Adaptive choice-based conjoint analysis was used to study the anti-cyberbullying program preferences of 1,004 university students. More than 60% reported involvement in cyberbullying as witnesses (45.7%), victims (5.7%), perpetrator-victims (4.9%), or perpetrators (4.5%). Men were more likely to report involvement as perpetrators and perpetrator-victims than were women. Students recommended advertisements featuring famous people who emphasized the impact of cyberbullying on victims. They preferred a comprehensive approach teaching skills to prevent cyberbullying, encouraging students to report incidents, enabling anonymous online reporting, and terminating the internet privileges of students involved as perpetrators. Those who cyberbully were least likely, and victims of cyberbullying were most likely, to support an approach combining prevention and consequences. Simulations introducing mandatory reporting, suspensions, or police charges predicted a substantial reduction in the support of uninvolved students, witnesses, victims, and perpetrators.

What Limits the Effectiveness of Antibullying Programs? A Thematic Analysis of the Perspective of Teachers

Prevention programs yield modest reductions in bullying in North American schools. This study explored the perspective of educators regarding factors limiting the impact of these initiatives. Transcripts from nineteen 90-min focus groups with 103 educators were coded thematically. Educators felt that off-site incidents, cyberbullying, and the growing involvement of boys in psychologically aggressive incidents have increased the complexity of bullying. Curriculum demands limit time for training, implementation, and prompt responses to bullying. Principals failing to back teachers up, ambivalent colleagues, uncooperative parents, and a lack of evidence reduce their commitment to implementation. Promising programs are discontinued in favor of new initiatives. Some educators modified programs; others, feeling frustrated and discouraged, struggled to mobilize the enthusiasm needed to ensure successful implementation. Dealing with bullying in the face of limited time, training, and support may increase emotional exhaustion and compromise program effectiveness.

Modeling the hospital safety partnership preferences of patients and their families: a discrete choice conjoint experiment

Background Patients and their families play an important role in efforts to improve health service safety. Objective The objective of this study is to understand the safety partnership preferences of patients and their families. Method We used a discrete choice conjoint experiment to model the safety partnership preferences of 1,084 patients or those such as parents acting on their behalf. Participants made choices between hypothetical safety partnerships composed by experimentally varying 15 four-level partnership design attributes. Results Participants preferred an approach to safety based on partnerships between patients and staff rather than a model delegating responsibility for safety to hospital staff. They valued the opportunity to participate in point of service safety partnerships, such as identity and medication double checks, that might afford an immediate risk reduction. Latent class analysis yielded two segments. Actively engaged participants (73.3%) comprised outpatients with higher education, who anticipated more benefits to safety partnerships, were more confident in their ability to contribute, and were more intent on participating. They were more likely to prefer a personal engagement strategy, valued scientific evidence, preferred a more active approach to safety education, and advocated disclosure of errors. The passively engaged segment (26.7%) anticipated fewer benefits, were less confident in their ability to contribute, and were less intent on participating. They were more likely to prefer an engagement strategy based on signage. They preferred that staff explain why they thought patients should help make care safer and decide whether errors were disclosed. Inpatients, those with immigrant backgrounds, and those with less education were more likely to be in this segment. Conclusion Health services need to communicate information regarding risks, ask about partnership preferences, create opportunities respecting individual differences, and ensure a positive response when patients raise safety concerns.

Understanding academic clinicians’ intent to treat pediatric obesity

AIM To examine the extent to which the theory of planned behavior (TPB) predicts academic clinicians’ intent to treat pediatric obesity. METHODS A multi-disciplinary panel iteratively devised a Likert scale survey based on the constructs of the TPB applied to a set of pediatric obesity themes. A cross-sectional electronic survey was then administered to academic clinicians at tertiary care centers across Canada from January to April 2012. Descriptive statistics were used to summarize demographic and item agreement data. A hierarchical linear regression analysis controlling for demographic variables was conducted to examine the extent to which the TPB subscales predicted intent to treat pediatric obesity. RESULTS A total of 198 physicians, surgeons, and allied health professionals across Canada (British Columbia, Alberta, Manitoba, Saskatchewan, Nova Scotia, Ontario and Quebec) completed the survey. On step 1, demographic factors accounted for 7.4% of the variance in intent scores. Together in step 2, demographic variables and TPB subscales predicted 56.9% of the variance in a measure of the intent to treat pediatric obesity. Perceived behavioral control, that is, confidence in one’s ability to manage pediatric obesity, and subjective norms, congruent with one’s context of practice, were the most significant predictors of the intent to treat pediatric obesity. Attitudes and barriers did not predict the intent to treat pediatric obesity in this context. CONCLUSION Enhancing self-confidence in the ability to treat pediatric obesity and the existence of supportive treatment environments are important to increase clinician’s intent to treat pediatric obesity.