BACKGROUND: For transition-aged youth experiencing homelessness (TAYEH) moving to transitional housing, a motivational network intervention (MNI) may help modify high-risk networks, thereby reducing substance use and strengthening prosocial connections.
METHODS: Thirty-six TAYEH received a four-session MNI integrated into usual housing case management or usual case management. Intervention acceptability, feasibility, and motivational interviewing fidelity were evaluated.
RESULTS: Nearly all participants would recommend the MNI to others, formed goals, and believed the program improved their lives. Case managers delivered the program with fidelity. However, sample size and number of sessions delivered fell short of targets due to COVID-19 disruptions and other factors and limited our ability to examine preliminary effects on substance use and network outcomes in a fully powered trial.
CONCLUSIONS: Case managers can successfully deliver the MNI, but its use may not be feasible unless adaptations are made to accommodate the instability this population faces when they enter housing.

BACKGROUND: Motivational interviewing (MI) is a person-centred approach focused on empowering and motivating individuals for behavioural change. Medical students can utilize MI in patient education to engage with patients\' chronic health ailments and maladaptive behaviours. A current scoping review was conducted to 1) determine the types of MI (conventional, adapted, brief and group MI) education programs in medical schools, delivery modalities and teaching methods used; 2) classify educational outcomes on the basis of Kirkpatrick\'s hierarchy; and 3) determine the key elements of MI education via the FRAMES (feedback, responsibility, advice, menu of options, empathy, self-efficacy) model.
METHODS: This scoping review was conducted via the framework outlined by Arksey and O\'Malley. Two online databases, CINAHL and MEDLINE Complete, were searched to identify MI interventions in medical education. Further articles were selected from bibliography lists and the Google Scholar search engine.
RESULTS: From an initial yield of 2019 articles, 19 articles were included. First, there appears to be a bimodal distribution of most articles published between the two time periods of 2004--2008 and 2019--2023. Second, all the studies included in this review did not use conventional MI but instead utilized a variety of MI adaptation techniques. Third, most studies used face-to-face training in MI, whereas only one study used online delivery. Fourth, most studies have used a variety of interactive experiences to teach MI. Next, all studies reported outcomes at Kirkpatrick\'s Level 2, but only 4 studies reported outcomes at Kirkpatrick\'s Level 3. According to the FRAMES model, all studies (n=19; 100%) reported the elements of responsibility and advice. The element that was reported the least was self-efficacy (n = 12; 63.1%).
CONCLUSIONS: Our findings suggest that motivational interviewing can be taught effectively in medical schools via adaptations to MI and a variety of teaching approaches. However, there is a need for further research investigating standardized MI training across medical schools, the adequate dose for training in MI and the implementation of reflective practices. Future studies may benefit from exploring and better understanding the relationship between MI and self-efficacy in their MI interventions.

OBJECTIVE: Women in the criminal justice system and women who have been subject to domestic abuse are at high risk of cancer but underrepresented in health promotion research. We aimed to co-produce, pilot and evaluate a health promoting programme delivered on group walks.
METHODS: A programme co-produced by women, based on motivational interviewing, created the opportunity for supportive conversations about cancer prevention.
METHODS: Programme development in two workshops with women with lived experience using authentic vignettes to prompt help-seeking conversations. A small pilot and a qualitative evaluation was done using framework analysis.
RESULTS: The programme appeared acceptable to women and the walk leaders. Women felt included and found it a safe space for sensitive conversations. They appeared empowered and more confident to seek help. Walk leaders expressed confidence in delivering this informal programme, which used prompts rather than delivering didactic training.
CONCLUSIONS: Cancer prevention for high-risk groups can be delivered in a personalised and novel way by creating informal opportunities for supportive conversations about cancer prevention. Careful co-production of the programme of walks with women, using scenarios and quotes that were authentic vignettes, ensured that these came directly from the women\'s lived experience and enabled women to talk about change. Our findings indicate that this approach was practical, relevant and acceptable to them with some evidence of women feeling empowered to make informed decisions about their health. We recommend that future cancer prevention programmes for underrepresented groups take an asset-based approach by utilising pre-existing community organisations to increase reach and sustainability.
UNASSIGNED: Women with lived experience co-designed and tested the programme. Provisional findings were fed back to the women and the women\'s organisation that partnered with this research.

BACKGROUND: Cigarette smoking poses a major public health risk. Chatbots may serve as an accessible and useful tool to promote cessation due to their high accessibility and potential in facilitating long-term personalized interactions. To increase effectiveness and acceptability, there remains a need to identify and evaluate counseling strategies for these chatbots, an aspect that has not been comprehensively addressed in previous research.
OBJECTIVE: This study aims to identify effective counseling strategies for such chatbots to support smoking cessation. In addition, we sought to gain insights into smokers\' expectations of and experiences with the chatbot.
METHODS: This mixed methods study incorporated a web-based experiment and semistructured interviews. Smokers (N=229) interacted with either a motivational interviewing (MI)-style (n=112, 48.9%) or a confrontational counseling-style (n=117, 51.1%) chatbot. Both cessation-related (ie, intention to quit and self-efficacy) and user experience-related outcomes (ie, engagement, therapeutic alliance, perceived empathy, and interaction satisfaction) were assessed. Semistructured interviews were conducted with 16 participants, 8 (50%) from each condition, and data were analyzed using thematic analysis.
RESULTS: Results from a multivariate ANOVA showed that participants had a significantly higher overall rating for the MI (vs confrontational counseling) chatbot. Follow-up discriminant analysis revealed that the better perception of the MI chatbot was mostly explained by the user experience-related outcomes, with cessation-related outcomes playing a lesser role. Exploratory analyses indicated that smokers in both conditions reported increased intention to quit and self-efficacy after the chatbot interaction. Interview findings illustrated several constructs (eg, affective attitude and engagement) explaining people\'s previous expectations and timely and retrospective experience with the chatbot.
CONCLUSIONS: The results confirmed that chatbots are a promising tool in motivating smoking cessation and the use of MI can improve user experience. We did not find extra support for MI to motivate cessation and have discussed possible reasons. Smokers expressed both relational and instrumental needs in the quitting process. Implications for future research and practice are discussed.

BACKGROUND: With the rise of computer science and artificial intelligence, analyzing large data sets promises enormous potential in gaining insights for developing and improving evidence-based health interventions. One such intervention is the counseling strategy motivational interviewing (MI), which has been found effective in improving a wide range of health-related behaviors. Despite the simplicity of its principles, MI can be a challenging skill to learn and requires expertise to apply effectively.
OBJECTIVE: This study aims to investigate the performance of artificial intelligence models in classifying MI behavior and explore the feasibility of using these models in online helplines for mental health as an automated support tool for counselors in clinical practice.
METHODS: We used a coded data set of 253 MI counseling chat sessions from the 113 Suicide Prevention helpline. With 23,982 messages coded with the MI Sequential Code for Observing Process Exchanges codebook, we trained and evaluated 4 machine learning models and 1 deep learning model to classify client- and counselor MI behavior based on language use.
RESULTS: The deep learning model BERTje outperformed all machine learning models, accurately predicting counselor behavior (accuracy=0.72, area under the curve [AUC]=0.95, Cohen κ=0.69). It differentiated MI congruent and incongruent counselor behavior (AUC=0.92, κ=0.65) and evocative and nonevocative language (AUC=0.92, κ=0.66). For client behavior, the model achieved an accuracy of 0.70 (AUC=0.89, κ=0.55). The model\'s interpretable predictions discerned client change talk and sustain talk, counselor affirmations, and reflection types, facilitating valuable counselor feedback.
CONCLUSIONS: The results of this study demonstrate that artificial intelligence techniques can accurately classify MI behavior, indicating their potential as a valuable tool for enhancing MI proficiency in online helplines for mental health. Provided that the data set size is sufficiently large with enough training samples for each behavioral code, these methods can be trained and applied to other domains and languages, offering a scalable and cost-effective way to evaluate MI adherence, accelerate behavioral coding, and provide therapists with personalized, quick, and objective feedback.

Older adults with lower limb fractures often harbor concerns about losing their mobility, fearing a loss of independence. It is vital to develop strategies that foster their active engagement in the rehabilitation process. The present protocol aims to create a care pathway tailored to motivate individuals with lower limb fractures to adhere to rehabilitation. We will develop an observational, cross-sectional, and descriptive study using the Delphi data-gathering approach. Purposive sampling will recruit a panel of healthcare professionals and experts who care for patients with lower limb fractures. Aligned with the Delphi method, a series of iterative rounds will be developed to gather consensus around the motivational strategies used by health professionals in the rehabilitation of people with lower limb fractures. We will employ the Qualtrics platform for data collection and analysis, and a consensus target of 75% has been predetermined. For quantitative data analysis, we will use descriptive statistics encompassing a range of measures, including count, mean, standard deviation, median, minimum, maximum, and range. An inductive thematic analysis procedure will be employed to extract meaningful themes and patterns from qualitative data. The study results are expected to significantly impact clinical practice by creating a specialized care pathway to motivate individuals with lower limb fractures to adhere to rehabilitation. Adopting these explicit standards by professionals will ensure uniform and high-quality care.

Vaccine hesitancy is one of the top ten threats to global health. Artificial intelligence-driven chatbots and motivational interviewing skills show promise in addressing vaccine hesitancy. This study aimed to develop and validate an artificial intelligence-driven motivational digital assistant in decreasing COVID-19 vaccine hesitancy among Hong Kong adults. The intervention development and validation were guided by the Medical Research Council\'s framework with four major steps: logic model development based on theory and qualitative interviews (n = 15), digital assistant development, expert evaluation (n = 5), and a pilot test (n = 12). The Vaccine Hesitancy Matrix model and qualitative findings guided the development of the intervention logic model and content with five web-based modules. An artificial intelligence-driven chatbot tailored to each module was embedded in the website to motivate vaccination intention using motivational interviewing skills. The content validity index from expert evaluation was 0.85. The pilot test showed significant improvements in vaccine-related health literacy (p = 0.021) and vaccine confidence (p = 0.027). This digital assistant is effective in improving COVID-19 vaccine literacy and confidence through valid educational content and motivational conversations. The intervention is ready for testing in a randomized controlled trial and has high potential to be a useful toolkit for addressing ambivalence and facilitating informed decision making regarding vaccination.

BACKGROUND: Mothers\' intentions regarding the Human Papillomavirus (HPV) vaccination of their daughters are crucial, especially in societies that prioritize cultural and religious values.
OBJECTIVE: This study aimed to encourage mothers to vaccinate their daughters against HPV by enhancing their perceptions of the vaccine\'s benefits, susceptibility, severity, and knowledge levels, while reducing their barriers through web-based interventions and Health Belief Model-based motivational interviews.
METHODS: The study was designed as a pre-mid-post test randomized controlled experimental study. The sample included 63 mothers of female high school students (31 in the experimental group, 32 in the control group). Data were collected using a \"Demographical and Descriptive Characteristics Information Form\", \"Health Belief Model Scale for Human Papillomavirus and Its Vaccination\" and \"Human Papillomavirus Knowledge Scale\". Mothers in the experimental group received three HBM-based motivational interviews, web support, and follow-up.
RESULTS: gov code is NCT04992741.
RESULTS: Following the interventions, the experimental group exhibited higher levels of knowledge, benefit, susceptibility, and severity perception of HPV vaccination, and lower perceptions of barriers compared to the control group. At the end of the study, 24 mothers from the experimental group and 5 mothers from the control group decided to vaccinate their daughters against HPV.
CONCLUSIONS: Motivational interviews, along with web support and monitoring, significantly enhanced mothers\' knowledge and beliefs.
UNASSIGNED: This study provides evidence for the applicability of theory-based motivational interviewing in the acceptance of HPV vaccine by mothers. It enables the dissemination of HPV vaccination and encourages community health nurses to use theory-based motivational interviewing to recommend HPV vaccination.

BACKGROUND: Cardiovascular disease (CVD) is the leading cause of mortality for US women; lack of health insurance contributes to poor control of risk factors and increased mortality. Health coaching including motivational interviewing can support primary and secondary CVD prevention, but among uninsured women, improving health outcomes is dependent on successfully reaching priority populations.
OBJECTIVE: We evaluated the implementation and reach of health coaching with motivational interviewing among clients in the Illinois WISEWOMAN Program (IWP), a CVD screening and risk-reduction program for uninsured women aged 40 to 64.
METHODS: Following CVD screening, motivational interviewing is offered to all IWP clients via four 30-min one-on-one health coaching sessions to offer personalized guidance on setting and achieving health behavior goals.
METHODS: Our analysis included clients from the eight community-based Illinois agencies that implemented IWP from 2019 to 2023.
METHODS: We assessed client demographic and baseline health characteristics among all IWP clients, those who participated in health coaching by attending at least one session, and those who completed health coaching by attending at least three of four sessions. We also assessed health coaching participation and completion by agency and examined agency-specific associations between client characteristics and health coaching participation and completion.
RESULTS: Among IWP enrollees (n = 3094), 89.7% participated in at least one health coaching session but only 31.4% completed health coaching by attending at least three sessions. Over 90% of IWP clients participated in at least one health coaching session at 4 IWP agencies. Further, over 85% of health coaching participants completed health coaching at four agencies. Across agencies, no client-level characteristics were consistently associated with health coaching participation or completion.
CONCLUSIONS: High motivational interviewing participation rates support its acceptability among uninsured women, but agency-level community-level barriers likely prevent client engagement in multiple sessions. Reducing CVD risk requires working with partner agencies to address barriers to reaching the priority population.

UNASSIGNED: Obesity affects 14.7 million children and adolescents in the United States. Children\'s health behaviors are affected by parental health practices. Therefore, pediatric obesity interventions should include parents. The objective of this study was to assess the changes in self-reported health behaviors in a diverse population attending the TEEEN program, with motivational interviewing of child-parent dyads as a key component, for 1 year.
UNASSIGNED: Here we assessed the changes in Family and Nutrition and Physical Activity (FNPA) screening tool scores, a tool that assesses obesogenic behaviors, in the context of MI of child-parent dyads in a racially, ethnically, and socioeconomically diverse population who attended the TEEEN (Teens, Empowerment, Education, Exercise, Nutrition) program, a nonclinic and family-based behavior program in Massachusetts, for 1 year.
UNASSIGNED: Participation in the TEEEN program, which includes MI of child-parent dyads, was associated with a significant increase in the overall FNPA score (median change= 4 points, P = .007). We observed that 76.5% of children experienced a decrease in BMI% and BMI z-score. The change in BMI% (median= -0.9, P = .006) and change in BMI z-score (median= -0.2, P = .008) were statistically significant.
UNASSIGNED: Participation in the TEEEN program seemed to be beneficial based on aspects of the FNPA screening tool and changes in weight parameters. The FNPA screening tool enhanced-motivational interviewing of child-parent dyads shows promise as an approach to address obesogenic behaviors. This study provides a detailed framework for medical providers to address pediatric obesity in a nonclinic setting with less time constraints.