Exploring the Discursive Emphasis on Patients and Coaches Who Participated in Technology-Assisted Diabetes Self-management Education: Clinical Implementation Study of Health360x.

BACKGROUND: A critical unmet need for underserved patients with diabetes is regular access to sufficient support for diabetes self-management. Although advances in digital technologies have made way for eHealth applications that provide a scalable path for tailored interventions for self-management of chronic conditions, health and digital literacy has remained an obstacle to leveraging these technologies for effective diabetes self-management education. Studies have shown that the availability of coaches helps to maintain engagement in internet-based studies and improves self-efficacy for behavior change. However, little is known about the substances involved in these interactions. OBJECTIVE: This study aims to compare the content of conversations between patient-coach pairs that achieved their self-management goals and those that did not. The context is a clinical implementation study of diabetes self-management behavior change using Health360x within the practices of the Morehouse Choice Accountable Care Organization in the Atlanta metro area. Health360x is a coach-assisted consumer health information technology designed to support self-management skills acquisition and behavior among underserved, high-risk patients with diabetes. METHODS: We provide a novel analysis of the discursive emphasis on patients and coaches. We examined transcripts of visits using a structural topic model to estimate topic content and prevalence as a function of patient and coach characteristics. We compared topics between patient-coach pairs that achieved diabetes-related self-management goals and those who did not. We also estimated a regression in which utterances are the units, the dependent variable is the proportion of an utterance that is about a given topic, and the independent variables are speaker types and explored other themes. RESULTS: Transcripts from 50 patients who were recruited and consented, starting in February 2015, were analyzed. A total of 44 topics were estimated for patient-coach pairs that achieved their intended health goals and 50 topics for those who did not. Analysis of the structural topic model results indicated that coaches in patient-coach pairs that were able to achieve self-management goals provided more contextual feedback and probed into patients' experience with technology and trust in consumer information technologies. We also found that discussions around problem areas and stress, support (ßCoach=.015; P<.001), initial visits (ßCoach=.02; P<.001), problems with technology (ßCoach=.01; P<.001), health eating goals (ßCoach=.01; P=.04), diabetes knowledge (ßCoach=.02; P<.001), managing blood sugar (ßCoach=.03; P<.001), and using Health360x (ßCoach=.003; P=.03) were dominated by coaches. CONCLUSIONS: Coach-facilitated, technology-based diabetes self-management education can help underserved patients with diabetes. Our use of topic modeling in this application sheds light on the actual dynamics in conversations between patients and coaches. Knowledge of the key elements for successful coach-patient interactions based on the analysis of transcripts could be applied to understanding everyday patient-provider encounters, given the recent paradigm shift around the use of telehealth.

Epilepsy self-management behaviors among African Americans with epilepsy.

PURPOSE: Although self-management practices are heavily studied in the general population of adults with epilepsy, African American people with epilepsy (PWE) have been understudied. Improving understanding about epilepsy self-management among African Americans is warrantedbecause of the significantly greater mortality rates among this population compared withPWE from other racial/ethnic groups. The purpose of this study was to assess the reliability and validity of the Adult Epilepsy Self-Management Measurement Instrument (AESMMI) for Black/African American adults and describe their self-management behaviors. METHODS: This study was a cross-sectional survey of self-identified Black/African American adults who reported that a health provider diagnosed them as having epilepsy or a seizure disorder. Participants completed a cross-sectional survey between spring 2017 and fall 2018. The survey measured self-management behaviors (65-itemAESMMI), quality of life, depression, seizure severity, epilepsy history, and demographics. We ran descriptive analyses, computed scales, and ran reliability statistics for the AESMMI. Correlations were run between total AESMMI score and depression symptoms and quality of life to assess construct validity. RESULTS: Generally, participants (N = 114) were male (58.6%), from urban/suburban settings (90.5%), at least high school graduates (86.4%), and of lowerincome (90.3%). Their ages ranged from 19 to 64 years with a mean age of 53 years (standard deviation [SD] = 10.9). Participants had general (72.8%) and focal seizures (55.3%) primarily. Many were diagnosed at a young age (M = 10.9), were on antiepileptic medications (91.2%), and had seen a primary care doctor (68.4%) or general neurologist for treatment (54.4%). Sixty percent had visited a neurologist in the past year. African American participants had a low score on quality of life (Quality of Life in Epilepsy [QOLIE], M = 1.86) and low depression symptoms (Patient Health Questionnaire [PHQ-8], M = 3.13). Participants reported conducting self-management behaviors in the following domains more frequently: proactivity (M = 4.11), medication adherence (M = 3.92), healthcare communications (M = 3.91), and social support (M = 3.90). In contrast, they performed self-management behaviors related to treatment (M = 3.34), stress management (M = 3.56), and safety (M = 3.58) less frequently. The overall reliability of the AESMMI was 0.88. Adult Epilepsy Self-Management Measurement Instrument score was correlated with quality of life (r = 0.151). CONCLUSION: Findings are clinically relevant as knowing patients'self-management behaviors enables healthcare clinicians to support and encourage adults to improve the management of their epilepsy. Services or interventions related to coping with stress, safety, and adherence with treatment and medication may be warranted for African Americans with epilepsy.

Achieving Health Equity with e-Healthystrides©: Patient Perspectives of a Consumer Health Information Technology Application.

Objective: We describe the implementation, clinical outcomes and participant perspectives for e-Healthystrides©. Setting: Three independent ambulatory clinics and an historic African American (AA) church. Participants: Adults with diagnosed diabetes mellitus type 2. Intervention: e-Healthystrides© health coach facilitated intervention. Primary outcome: Acquisition of three new self-management behaviors. Secondary outcomes: Blood pressure, blood glucose, A1c, attrition rate and participant perspectives of e-Healthystrides©. Methods: A convergent parallel mixed method design was used in both pilot studies. Results: Two hundred and sixty-four participants, aged ~62±16 years, enrolled. Attrition at 52 weeks varied 50%-90% by site. Low engagement users were defined mainly by anxiety with putting health information online. The primary outcome was achieved in 36% of our participants, with the top 3 self-management behaviors acquired being: reducing risk (24.5%); healthy eating (23.7%); and monitoring (16.4%). Problem solving had the lowest rate of achievement (.91%). Blood pressure improved significantly at all sites at 12 weeks and at clinics A,B,C at 52 weeks. Blood glucose improved at 12 weeks: clinic A (P=.0001), B (P=.003), C (P=.001) and D (P=.03); but, at 52 weeks, only clinics A (P=<.0001) and B (P=.0001). Participants felt empowered by features of e-Healthystrides©. Engagement with health coaches and peers was highly valued. Conclusions: e-Healthystrides© is effective for self-management behavior change. Participants showed the best success with healthy coping, healthy eating, and monitoring behaviors. They felt empowered by access to health information and valued interaction with coaches and peers. Our findings support strong relational/social network strategy with a role for coaches as guides (apomediaries) who facilitate skill acquisition using technology.