Future control of the coronavirus disease 2019 (COVID-19) pandemic is dependent on the uptake of the COVID-19 vaccine. Many factors have swayed the public’s perception of this coronavirus and the new vaccinations, including misinformation, heightened emotions, and the divisive and tumultuous partisan climate. As such, vaccine hesitancy may be more prevalent for the COVID-19 vaccine than others. Healthcare workers are trusted sources of information and have the opportunity to influence an individual’s choice to take the vaccine. For those who initially present as unwilling to be vaccinated, trying to persuade them with facts and scare tactics may cause more resistance. By using the communication approach of motivational interviewing, practitioners can support autonomy to reduce defensiveness, use a guiding style to elicit ambivalence and provide information, address personal agency to ensure that their patients understand that their efforts can reduce risk, and evoke a person’s own argument for vaccination to decrease vaccine hesitancy.

The practice of nurse health coaching (NHC) draws from the art and science of nursing, behavioral sciences, and evidence-based health-coaching methods. This secondary analysis of the audio-recorded natural language of participants during NHC sessions of our recent 8-week RCT evaluates improvement over time in cognitive–behavioral outcomes: change talk, resiliency, self-efficacy/independent agency, insight and pattern recognition, and building towards sustainability. We developed a measurement tool for coding, Indicators of Health Behavior Change (IHBC), that was designed to allow trained health-coach experts to assess the presence and frequency of the indicators in the natural language content of participants. We used a two-step method for randomly selecting the 20 min audio-recorded session that was analyzed at each time point. Fifty-six participants had high-quality audio recordings of the NHC sessions. Twelve participants were placed in the social determinants of health (SDH) group based on the following: low income (<USD 20,000/year), early-onset hypertension, and social disadvantages. Our analyses significantly improved change talk and the other four factors over time. Our factor analyses indicated two distinct factors at each measurement point of the study, demonstrating the stability of the outcome measures over time. Our newly developed measurement tool, IHBC, proved stable in structure over time and sensitive to change. This NHC program shows promise in improving cognitive–behavioral indicators associated with health behavior change in both non-SDH and SDH individuals.

Background The COVID-19 pandemic has accelerated the adoption of digital tools to support individuals struggling with their mental health. The use of a digital intervention plus human coaching (“dual” intervention) is gaining momentum in increasing overall engagement in digital cognitive behavioral interventions (dCBIs). However, there is limited insight into the methodologies and coaching models used by those deploying dual interventions. To achieve a deeper understanding, we need to identify and promote effective engagement that leads to clinical outcomes versus simply monitoring engagement metrics. Motivational interviewing (MI) is a collaborative, goal-oriented communication approach that pays particular attention to the language of change and is an effective engagement approach to help people manage mental health issues. However, this approach has been traditionally used for in-person or telephonic interventions, and less is known about the application of MI to digital interventions. Objective We sought to provide a dual intervention approach and address multiple factors across two levels of engagement to operationalize a dCBI that combined cognitive behavioral therapy–based techniques and MI-based interactions between the digital health coach (DHC) and user. Methods We reviewed hundreds of digital exchanges between DHCs and users to identify and improve training and quality assurance activities for digital interventions. Results We tested five hypotheses and found that: (1) users of a dual digital behavioral health intervention had greater engagement levels than users of a noncoached intervention (P<.001); (2) DHCs with a demonstrated competency in applying MI to digital messages had more engaged users, as measured by the DHC-to-user message exchange ratio (P<.001); (3) the DHC-to-user message exchange ratio was correlated with more engagement in app activities (r=0.28, 95% CI 0.23-0.33); (4) DHCs with demonstrated MI proficiency elicited a greater amount of “change talk” from users than did DHCs without MI proficiency (H=25.12, P<.001); and (5) users who were engaged by DHCs with MI proficiency had better clinical outcomes compared to users engaged by DHCs without MI proficiency (P=.02). Conclusions To our knowledge, this pilot was the first of its kind to test the application of MI to digital coaching protocols, and it demonstrated the value of MI proficiency in digital health coaching for enhanced engagement and health improvement. Further research is needed to establish coaching models in dCBIs that incorporate MI to promote effective engagement and optimize positive behavioral outcomes.

Purpose Increase practitioners' Motivational Interviewing (MI) skill set to develop intrinsic motivation and behavior change competencies. Design Pilot comparing intervention group with waitlist-control group. Setting Health Plan in northeast of U.S. Intervention Training program including a 3 day 19 hour MI training intensive, 1.5 hour follow-up skill-building trainings, and quality assurance review using an MI assessment tool paired with strengths-based mentoring. Cohort 1 (experimental group) received the intervention for 6-months and cohort 2 for 3 months (control group). Measures Practitioners’ MI skill set was assessed pre- and post-intervention using Motivational Interviewing Competency Assessment (MICA). Practitioners’ MI knowledge and attitudes were assessed pre- and post-training using adapted Motivational Interviewing Knowledge and Attitudes Test (MIKAT). Active learning and confidence questionnaires were administered post-training. Analysis A generalized linear mixed model with repeated measures to analyze difference in MICA growth rates; paired T-test for MIKAT pre/post training analysis. Descriptive statistics for active learning and confidence. Results MICA scores significantly improved for both cohorts ( P < .0001). Practitioners had significant increase in knowledge and attitudes for MI ( P < .001) and confidence in using MI ( P < .01). High levels of active learning were observed (93-100%). Conclusion With planning, adequate resources/support, and iterative processes for adjustment, practitioners can improve their MI skill set in a short period of time with modest investment of practitioner resources.

The practice of nurse health coaching (NHC) draws from the art and science of nursing, behavioral sciences, and evidence-based health coaching methods. This secondary analysis of the audio-recorded natural language of participants during NHC sessions of our recent 8-week RCT evaluates improvement over time in cognitive-behavioral outcomes: Change Talk, Resiliency, Self-Efficacy/Independent Agency, Insight &amp; Pattern Recognition, and Building Towards Sustainability. We developed a measurement tool for coding, Indicators of Health Behavior Change (IHBC), that was designed to allow trained health coach experts to assess the presence and frequency of the indicators in the natural language content of participants. We used a two-step method for randomly selecting the 20-minute audio-recorded session that was analyzed at each time point. Fifty-six participants had high-quality audio recordings of the NHC sessions. Twelve participants were placed in the social determinants of health (SDH) group based on the following: low income (&lt;$20,000/year), early-onset hypertension, and social disadvantages. Our analyses significantly improved Change Talk and the other four factors over time. Our factor analyses indicated two distinct factors at each measurement point of the study, demonstrating the stability of the outcome measures over time. Our newly developed measurement tool, IHBC, proved stable in structure over time and sensitive to change. This NHC program shows promise in improving cognitive-behavioral indicators associated with health behavior change in both non-SDH and SDH individuals.