The impact of a depression self-management intervention on seizure activity.

PURPOSE: Seizures have a variety of significant physical, cognitive, and social effects upon the individual. Depression has been linked to an increase in seizure activity, and Project Using Practice and Learning to Increase Favorable Thoughts (UPLIFT) was shown to reduce depressive symptoms. Project UPLIFT, based upon mindfulness-based cognitive therapy (MBCT), provides distance delivery of depression management skills to groups of people with epilepsy. Because Project UPLIFT reduces depression and depression is linked to seizure activity, the current analysis was designed to determine the impact of Project UPLIFT upon seizure frequency and severity. METHOD: Participants (n = 107) were adults ages 21-70 with epilepsy and mild-to-moderate depressive symptoms from the states of Georgia, Michigan, Texas, and Washington. The eight-session Project UPLIFT intervention was group-delivered weekly via the web or telephone. Participants were randomly assigned to condition (i.e., Project UPLIFT or a treatment-as-usual [TAU] waitlist) and assessed at baseline, and after intervening in the Project UPLIFT group (~10 weeks). Assessments included valid self-report measures of seizure frequency and severity and depression. RESULTS: Mediation analysis found that there was a significant negative direct relationship between condition and number of seizures at posttest; the mean number of seizures decreased by 3.2 in the Project UPLIFT group, but increased by 2.3 in the TAU group. The indirect path from condition to number of seizures through change in depression was not significant. Conversely, there was no significant negative direct relationship between condition and seizure severity at posttest, although the seizure severity decreased by 2.2 points in the UPLIFT group and increased by 2.7 points in the TAU group. The indirect path from condition to seizure severity through depression was significant, however, demonstrating that change in depression mediated the effect of Project UPLIFT on seizure severity. CONCLUSIONS: This study found that participating in Project UPLIFT directly reduced the number of seizures experienced by participants with epilepsy. This was not mediated by the change in depression. Participation in Project UPLIFT also reduced their perceived seizure severity indirectly, through reducing their depressive symptoms. This suggests Project UPLIFT may have the potential to impact the health, healthcare costs, and well-being of people with epilepsy.

Depressive symptoms and suicidality among individuals with epilepsy enrolled in self-management studies: Results from the US Centers for Disease Control and Prevention Managing Epilepsy Well (MEW) Network.

Depression is a common comorbidity in people with epilepsy (PWE) that negatively affects self-management and a variety of health outcomes. Suicidal ideation is also more common among PWE than the general population. We examined correlates of depressive symptoms and suicidal ideation in adults using pooled data from epilepsy self-management studies conducted by sites in the Centers for Disease Control and Prevention (CDC) Research Center's Managing Epilepsy Well (MEW) Network that assessed depression severity with the 9-item Patient Health Questionnaire (PHQ-9). Of the 770 subjects in the analysis (mean age 42.4 ±â€¯13.0 years), the mean total PHQ-9 score was 9.4 ±â€¯6.6 and 334 subjects (43.4%) had moderate to severe depressive symptoms (PHQ-9 ≥ 10). Only ongoing seizures and low education were associated with moderate-severe depressive symptoms in multiple logistic regression analysis. Suicidality (PHQ-9, item 9 score ≥ 1) was endorsed by 155 subjects (20.1%). Only nonsuicidal depressive symptoms were associated with suicidality in multiple variable logistic regression analysis. We show in this large and regionally diverse dataset that both depression and suicidal ideation are common among PWE enrolled in self-management studies. Future studies are needed to examine whether suicidality exists independently of other depressive symptoms in some populations with epilepsy and investigate other correlates of suicidality that may inform screening practices.

Correlates of quality of life among individuals with epilepsy enrolled in self-management research: From the US Centers for Disease Control and Prevention Managing Epilepsy Well Network.

RATIONALE: Epilepsy is a chronic neurological condition that causes substantial burden on patients and families. Quality of life may be reduced due to the stress of coping with epilepsy. For nearly a decade, the Centers for Disease Control (CDC) Prevention Research Center's Managing Epilepsy Well (MEW) Network has been conducting research on epilepsy self-management to address research and practice gaps. Studies have been conducted by independent centers across the U.S. Recently, the MEW Network sites, collaboratively, began compiling an integrated database to facilitate aggregate secondary analysis of completed and ongoing studies. In this preliminary analysis, correlates of quality of life in people with epilepsy (PWE) were analyzed from pooled baseline data from the MEW Network. METHODS: For this analysis, data originated from 6 epilepsy studies conducted across 4 research sites and comprised 459 PWE. Descriptive comparisons assessed common data elements that included gender, age, ethnicity, race, education, employment, income, seizure frequency, quality of life, and depression. Standardized rating scales were used for quality of life (QOLIE-10) and for depression (Patient Health Questionnaire, PHQ-9). RESULTS: While not all datasets included all common data elements, baseline descriptive analysis found a mean age of 42 (SD 13.22), 289 women (63.0%), 59 African Americans (13.7%), and 58 Hispanics (18.5%). Most, 422 (92.8%), completed at least high school, while 169 (61.7%) were unmarried, divorced/separated, or widowed. Median 30-day seizure frequency was 0.71 (range 0-308). Depression at baseline was common, with a mean PHQ-9 score of 8.32 (SD 6.04); 69 (29.0%) had depression in the mild range (PHQ-9 score 5-9) and 92 (38.7%) had depression in the moderate to severe range (PHQ-9 score >9). Lower baseline quality of life was associated with greater depressive severity (p<.001), more frequent seizures (p<.04) and lower income (p<.05). CONCLUSIONS: The MEW Network Integrated Database offers a unique opportunity for secondary analysis of data from multiple community-based epilepsy research studies. While findings must be tempered by potential sample bias, i.e. a relative under-representation of men and relatively small sample of some racial/ethnic subgroups, results of analyses derived from this first integrated epilepsy self-management database have potential to be useful to the field. Associations between depression severity and lower QOL in PWE are consistent with previous studies derived from clinical samples. Self-management efforts that focus on mental health comorbidity and seizure control may be one way to address modifiable factors that affect quality of life in PWE.

Pediatric Asthma Care Coordination in Underserved Communities: A Quasiexperimental Study.

OBJECTIVES: To assess the effect of care coordination on asthma outcomes among children in underserved urban communities. METHODS: We enrolled children, most of whom had very poorly or not well-controlled asthma, in medical-social care coordination programs in Los Angeles, California; Chicago, Illinois; Philadelphia, Pennsylvania; and San Juan, Puerto Rico in 2011 to 2014. Participants (n = 805; mean age = 7 years) were 60% male, 50% African American, and 42% Latino. We assessed asthma symptoms and health care utilization via parent interview at baseline and 12 months. To prevent overestimation of intervention effects, we constructed a comparison group using bootstrap resampling of matched control cases from previous pediatric asthma trials. RESULTS: At follow-up, intervention participants had 2.2 fewer symptom days per month (SD = 0.3; P < .01) and 1.9 fewer symptom nights per month (SD = 0.35; P < .01) than did the comparison group. The relative risk in the past year associated with the intervention was 0.63 (95% confidence interval [CI] = 0.45, 0.89) for an emergency department visit and 0.69 (95% CI = 0.47, 1.01) for hospitalization. CONCLUSIONS: Care coordination may improve pediatric asthma symptom control and reduce emergency department visits. POLICY IMPLICATIONS: Expanding third-party reimbursement for care coordination services may help reduce pediatric asthma disparities.

The "Retrofitting" Approach to Adapting Evidence-Based Interventions: A Case Study of Pediatric Asthma Care Coordination, United States, 2010-2014.

Adaptation of evidence-based interventions upon implementation into new practice settings is universal, yet poorly understood. During a cross-site evaluation of the implementation of a proven intervention for pediatric asthma care coordination into 4 resource-challenged settings, we conducted in-depth interviews with site representatives, who reported how and why they modified intervention components. Interview notes were coded for themes. We focused on a single theme from a respondent who described the adaptation process as "backing" the intervention into ongoing services; we found evidence of a similar process at other sites. We labeled this process "retrofitting" to signify adaptation that consists of altering existing services to align with intervention components, rather than modifying the intervention to fit a new setting. Advantages of retrofitting may include allowing organizations to keep what works, capitalizing on existing support for program activities, elevating the role of local knowledge, and potentially promoting the sustainability of effective innovations.

Factor analyses of an Adult Epilepsy Self-Management Measurement Instrument (AESMMI).

The purpose of this study was to test the psychometric properties of an enhanced Adult Epilepsy Self-Management Measurement Instrument (AESMMI). An instrument of 113 items, covering 10 a priori self-management domains, was generated through a multiphase process, based on a review of the literature, validated epilepsy and other chronic condition self-management scales and expert input. Reliability and exploratory factor analyses were conducted on data collected from 422 adults with epilepsy. The instrument was reduced to 65 items, converging on 11 factors: Health-care Communication, Coping, Treatment Management, Seizure Tracking, Social Support, Seizure Response, Wellness, Medication Adherence, Safety, Stress Management, and Proactivity. Exploratory factors supported the construct validity for 6 a priori domains, albeit with significant changes in the retained items or in their scope and 3 new factors. One a priori domain was split in 2 subscales pertaining to treatment. The configuration of the 11 factors provides additional insight into epilepsy self-management behaviors. Internal consistency reliability of the 65-item instrument was high (α=.935). Correlations with independent measures of health status, quality of life, depression, seizure severity, and life impact of epilepsy further validated the instrument. This instrument shows potential for use in research and clinical settings and for assessing intervention outcomes and self-management behaviors in adults with epilepsy.

Development of the Adult Epilepsy Self-Management Measurement Instrument (AESMMI).

Epilepsy self-management is the total sum of steps that people perform to maximize seizure control, to minimize the impact of having a seizure disorder, and to maximize quality of life. As part of a phased approach to instrument development, we conducted descriptive analyses of data from epilepsy self-management items covering 10 domains of self-management gathered from 422 adults with epilepsy from multiple study sites. Participants most frequently reported performing sets of behaviors related to managing treatment and stigma, information seeking, managing symptoms, and communicating with providers. Behaviors reported with lower frequency were related to seeking social support and engaging in wellness behaviors. Significant differences for the domains were found for income, gender, and education levels but not for other different demographic variables. A subsequent analytic phase, reported in a companion article, will use factor analysis to identify and validate the subscale structure of the domains.

Comparison of common data elements from the Managing Epilepsy Well (MEW) Network integrated database and a well-characterized sample with nonepileptic seizures.

INTRODUCTION: Epilepsy and psychogenic nonepileptic seizures (PNES) are both chronic illnesses characterized by similar and overlapping clinical features. A limited number of studies comparing people with epilepsy (PWE) and patients with PNES that address determinants of health outcomes exist. We conducted an analysis using a well-characterized sample of people with PNES and the Managing Epilepsy Well (MEW) Network integrated data, comparing descriptive data on samples with epilepsy and with documented PNES. Based on the pooled data, we hypothesized that people with PNES would have worse QOL and higher depression severity than PWE. MATERIAL AND METHODS: We used data from the MEW Network integrated database involving select epilepsy self-management studies comprising 182 PWE and 305 individuals with documented PNES from the Rhode Island Hospital Neuropsychiatry and Behavioral Neurology Clinic. We conducted a matched, case-control study assessing descriptive comparisons on 16 common data elements that included gender, age, ethnicity, race, education, employment, income, household composition, relationship status, age at seizure onset, frequency of seizures, seizure type, health status, healthy days, quality of life, and depression. Standardized rating scales for depression and quality of life were used. RESULTS: Median seizure frequency in the last 30days for PWE was 1, compared to 15 for patients with PNES (p<0.05). People with epilepsy had a QOLIE-10 mean score of 3.00 (SD: 0.91) compared to 3.54 (0.88) (p<0.01) for patients with PNES. Depression severity was moderate to severe in 7.7% of PWE compared to 34.1% (p<0.05) of patients with PNES. DISCUSSION: People with epilepsy in selected MEW Network programs are fairly well educated, mostly women, with few minorities and low monthly seizure rates. Those with PNES, however, have higher levels of not working/on disability and had more frequent seizures, higher depression severity, and worse QOL. These differences were present despite demographics that are largely similar in both groups, illustrating that other determinants of illness may influence PNES.

A Mixed-Method Application of the Program Sustainability Assessment Tool to Evaluate the Sustainability of 4 Pediatric Asthma Care Coordination Programs.

INTRODUCTION: As part of a cross-site evaluation of the implementation of an evidence-based intervention for pediatric asthma care coordination into low-income communities, we sought to understand the factors that influenced the programs' expected sustainability of the programs after external funding ended. METHODS: We administered the Center for Public Health Systems Science's Program Sustainability Assessment Tool, a 40-item instrument assessing 8 domains of sustainability capacity, to 12 key informants across 4 program sites. We developed open-ended probes for each domain. We examined patterns in site-specific and overall domain scores, and coded qualitative data to identify challenges and strategies in each domain. RESULTS: Across sites, the domains of program evaluation (cross-site mean, 5.4 on a scale of 1-7) and program adaptation (mean, 5.2) had the highest ratings (indicating a strong finding during program evaluation) and funding stability had the lowest rating (mean, 2.7). Scores varied most across sites in the domains of strategic planning (SD, 0.9) and funding stability (SD, 0.9). Qualitative data revealed key challenges, including how implementation difficulties and externally led implementation can impede planning for sustainability. Program leaders discussed multiple strategies for enhancing capacity within each domain, including capitalizing on the interconnectedness of all domains, such as using evaluation and communication strategies to bolster internal political support throughout the implementation process. CONCLUSION: Findings indicating weak and strong domains were consistent with previous findings of studies that used the Program Sustainability Assessment Tool. The addition of qualitative probes yielded detailed data describing capacity strengths, weaknesses, and strategies to increase the likelihood that programs are sustained.

The Influence of Setting on Care Coordination for Childhood Asthma.

Asthma affects 7.1 million children in the United States, disproportionately burdening African American and Latino children. Barriers to asthma control include insufficient patient education and fragmented care. Care coordination represents a compelling approach to improve quality of care and address disparities in asthma. The sites of The Merck Childhood Asthma Network Care Coordination Programs implemented different models of care coordination to suit specific settings-school district, clinic or health care system, and community-and organizational structures. A variety of qualitative data sources were analyzed to determine the role setting played in the manifestation of care coordination at each site. There were inherent strengths and challenges of implementing care coordination in each of the settings, and each site used unique strategies to deliver their programs. The relationship between the lead implementing unit and entities that provided (1) access to the priority population and (2) clinical services to program participants played a critical role in the structure of the programs. The level of support and infrastructure provided by these entities to the lead implementing unit influenced how participants were identified and how asthma care coordinators were integrated into the clinical care team.

Asthma coalition effects on vulnerable sub groups of children: the most frequent users of health care and the youngest.

OBJECTIVE: To examine the impact of Allies Against Asthma, community-based coalitions working to improve asthma outcomes, on vulnerable children: those with the most urgent health care use and those of youngest age. METHODS: Allies zip codes were matched with comparison communities on demographic factors. Five years of Medicaid data (n = 26,836) for significant health care events: hospitalizations, ED and urgent care facility visits, were analyzed. Longitudinal analyses using generalized estimating equations and proportional hazards models compared Allies and comparison group children. RESULTS: In the two start-up years of Allies, odds of having a significant event were greater for Allies children than for comparison children (p < 0.05). During the third and fourth years when Allies activities were fully implemented, for frequent health care users at baseline, odds of an asthma event were the same for both Allies and comparison children, yet in the less frequent users, odds of an event were lower in Allies children (p < 0.0001). In the initial year of Allies efforts, among the youngest, the Allies children had greater odds than comparison children of an event (p < 0.01), but by the fourth year the Allies group had lower odds (p = 0.02) of an event. Hazard ratios over all years of the study for the youngest Allies children and most frequent baseline users of urgent care were lower than for comparison children (p = 0.01 and p = 0.0004). CONCLUSION: Mobilizing a coalition of diverse stakeholders focused on policy and system change generated community-wide reductions over the long-term in health care use for vulnerable children.

Improvements in health care use associated with community coalitions: long-term results of the allies against asthma initiative.

OBJECTIVES: We assessed changes in asthma-related health care use by low-income children in communities across the country where 6 Allies Against Asthma coalitions (Hampton Roads, VA; Washington, DC; Milwaukee, WI; King County/Seattle, WA; Long Beach, CA; and Philadelphia, PA) mobilized stakeholders to bring about policy changes conducive to asthma control. METHODS: Allies intervention zip codes were matched with comparison communities by median household income, asthma prevalence, total population size, and race/ethnicity. Five years of data provided by the Center for Medicare and Medicaid Services on hospitalizations, emergency department (ED) use, and physician urgent care visits for children were analyzed. Intervention and comparison sites were compared with a stratified recurrent event analysis using a Cox proportional hazard model. RESULTS: In most of the assessment years, children in Allies communities were significantly less likely (P < .04) to have an asthma-related hospitalization, ED visit, or urgent care visit than children in comparison communities. During the entire period, children in Allies communities were significantly less likely (P < .02) to have such health care use. CONCLUSIONS: Mobilizing a diverse group of stakeholders, and focusing on policy and system changes generated significant reductions in health care use for asthma in vulnerable communities.

Study protocol: Behavioral economics and self-determination theory to change diabetes risk (BEST Change).

BACKGROUND: The Diabetes Prevention Program (DPP) and metformin can prevent or delay the onset of type 2 diabetes mellitus (T2DM) among patients with prediabetes. Yet, even when these evidence-based strategies are accessible and affordable, uptake is low. Thus, there is a critical need for effective, scalable, and sustainable approaches to increase uptake and engagement in these interventions. METHODS: In this randomized controlled trial, we will test whether financial incentives and automated messaging to promote autonomous motivation for preventing T2DM can increase DPP participation, metformin use, or both among adults with prediabetes. Participants (n = 380) will be randomized to one of four study arms. Control Arm participants will receive usual care and educational text messages about preventing T2DM. Incentives Arm participants will receive the Control Arm intervention plus financial incentives for DPP participation or metformin use. Tailored Messages Arm participants will receive the Control Arm intervention plus tailored messages promoting autonomous motivation for preventing T2DM. Combined Arm participants will receive the Incentives Arm and Tailored Messages Arm interventions plus messages to increase the personal salience of financial incentives. The primary outcome is change in hemoglobin A1c from baseline to 12 months. Secondary outcomes are change in body weight, DPP participation, and metformin use. DISCUSSION: If effective, these scalable and sustainable approaches to increase patient motivation to prevent T2DM can be deployed by health systems, health plans, and employers to help individuals with prediabetes lower their risk for developing T2DM.

Using Peer Support to Prevent Diabetes: Results of a Pragmatic RCT.

INTRODUCTION: High-contact structured diabetes prevention programs are effective in lowering weight and HbA1cs, yet their intensity level can create barriers to participation. Peer support programs improve clinical outcomes among adults with Type 2 diabetes, but their effectiveness in diabetes prevention is unknown. This study examined whether a low-intensity peer support program improved outcomes more than enhanced usual care in a diverse population with prediabetes. STUDY DESIGN: The intervention was tested in a pragmatic 2-arm RCT. SETTING/PARTICIPANTS: Participants were adults with prediabetes at three healthcare centers. INTERVENTION: Participants randomized to the enhanced usual care arm received educational materials. Participants in the Using Peer Support to Aid in Prevention and Treatment in Prediabetes arm were matched with a peer supporter: another patient who had made healthy lifestyle changes and was trained in autonomy-supportive action planning. Peer supporters were instructed to provide weekly telephone support to their peers on specific action steps toward behavioral goals for 6 months, then monthly support for 6 months. MAIN OUTCOME MEASURES: Changes in primary outcomes of weight and HbA1c and secondary outcomes of enrollment in formal diabetes prevention programs, self-reported diet, physical activity, health-specific social support, self-efficacy, motivation, and activation at 6 and 12 months were examined. RESULTS: Data collection occurred from October 2018 to March 2022, with analyses completed in September 2022. Among 355 randomized patients, in intention-to-treat analyses, there were no between-group differences in HbA1c or weight changes at 6 and 12 months. Using Peer Support to Aid in Prevention and Treatment in Prediabetes participants were more likely to enroll in structured programs at 6 (AOR=2.45, p=0.009) and 12 (AOR=2.21, p=0.016) months and to report eating whole grains at 6 (4.49, p=0.026) and 12 (4.22, p=0.034) months. They reported greater improvements in perceived social support for diabetes prevention behaviors at 6 (6.39, p<0.001) and 12 (5.48, p<0.001) months, with no differences in other measures. CONCLUSIONS: A stand-alone, low-intensity peer support program improved social support and participation in formal diabetes prevention programs but not weight or HbA1c. It will be important to examine whether peer support could effectively complement higher-intensity, structured diabetes prevention programs. TRIAL REGISTRATION: This trial is registered at ClinicalTrials.gov, NCT03689530. Full protocol available at https://clinicaltrials.gov/ct2/show/NCT03689530.

Effectiveness of a Health Coaching Intervention for Patient-Family Dyads to Improve Outcomes Among Adults With Diabetes: A Randomized Clinical Trial.

Importance: More than 75% of US adults with diabetes do not meet treatment goals. More effective support from family and friends ("supporters") may improve diabetes management and outcomes. Objective: To determine if the Caring Others Increasing Engagement in Patient Aligned Care Teams (CO-IMPACT) intervention improves patient activation, diabetes management, and outcomes compared with standard care. Design, Setting, and Participants: This randomized clinical trial was conducted from November 2016 to August 2019 among participants recruited from 2 Veterans Health Administration primary care sites. All patient participants were adults aged 30 to 70 years with diabetes who had hemoglobin A1c (HbA1c) levels greater than 8% of total hemoglobin (to convert to proportion of total hemoglobin, multiply by 0.01) or systolic blood pressure (SBP) higher than 150 mm Hg; each participating patient had an adult supporter. Of 1119 recruited, 239 patient-supporter dyads were enrolled between November 2016 and May 2018, randomized 1:1 to receive the CO-IMPACT intervention or standard care, and followed up for 12 to 15 months. Investigators and analysts were blinded to group assignment. Interventions: Patient-supporter dyads received a health coaching session focused on dyadic information sharing and positive support techniques, then 12 months of biweekly automated monitoring telephone calls to prompt dyadic actions to meet diabetes goals, coaching calls to help dyads prepare for primary care visits, and after-visit summaries. Standard-care dyads received general diabetes education materials only. Main Outcomes and Measures: Intent-to-treat analyses were conducted according to baseline dyad assignment. Primary prespecified outcomes were 12-month changes in Patient Activation Measure-13 (PAM-13) and UK Prospective Diabetes Study (UKPDS) 5-year diabetes-specific cardiac event risk scores. Secondary outcomes included 12-month changes in HbA1c levels, SBP, diabetes self-management behaviors, diabetes distress, diabetes management self-efficacy, and satisfaction with health system support for the involvement of family supporters. Changes in outcome measures between baseline and 12 months were analyzed using linear regression models. Results: A total of 239 dyads enrolled; among patient participants, the mean (SD) age was 60 (8.9) years, and 231 (96.7%) were male. The mean (SD) baseline HbA1c level was 8.5% (1.6%) and SBP was 140.2 mm Hg (18.4 mm Hg). A total of 168 patients (70.3%) lived with their enrolled supporter; 229 patients (95.8%) had complete 12-month outcome data. In intention-to-treat analyses vs standard care, CO-IMPACT patients had greater 12-month improvements in PAM-13 scores (intervention effect, 2.60 points; 95% CI, 0.02-5.18 points; P = .048) but nonsignificant differences in UKPDS 5-year cardiac risk (intervention effect, 1.01 points; 95% CI, -0.74 to 2.77 points; P = .26). Patients in the CO-IMPACT arm also had greater 12-month improvements in healthy eating (intervention effect, 0.71 d/wk; 95% CI, 0.20-1.22 d/wk; P = .007), diabetes self-efficacy (intervention effect, 0.40 points; 95% CI, 0.09-0.71 points; P = .01), and satisfaction with health system support for the family supporter participants' involvement (intervention effect, 0.28 points; 95% CI, 0.07-0.49 points; P = .009); however, the 2 arms had similar improvements in HbA1c levels and in other measures. Conclusions and Relevance: In this randomized clinical trial, the CO-IMPACT intervention successfully engaged patient-supporter dyads and led to improved patient activation and self-efficacy. Physiological outcomes improved similarly in both arms. More intensive direct coaching of supporters, or targeting patients with less preexisting support or fewer diabetes management resources, may have greater impact. Trial Registration: ClinicalTrials.gov Identifier: NCT02328326.

Patient and supporter factors affecting engagement with diabetes telehealth.

OBJECTIVES: To assess what patient, family supporter, and call characteristics predicted whether patients completed automated and coach-provided calls in a telehealth diabetes intervention. STUDY DESIGN: A total of 123 adults with type 2 diabetes and high glycated hemoglobin A1c (HbA1c) or blood pressure, enrolled with a family supporter, received automated interactive voice response (IVR) and coach-provided visit preparation calls over 12 months. METHODS: Data from baseline surveys and diabetes-related clinical information from patient medical records were entered into multilevel, multivariate regression models of associations between participant and call characteristics with call completion. RESULTS: A total of 76.3% of 2784 IVR calls and 75.8% of 367 visit preparation calls were completed. For IVR calls, patients with recent call-triggered provider alerts had higher odds of call completion (adjusted odds ratio [AOR], 3.5; 95% CI, 2.2-5.5); those with depressive symptoms (AOR, 0.4; 95% CI, 0.2-0.9), higher HbA1c (AOR, 0.8; 95% CI, 0.6-0.99), and more months in the study (AOR, 0.9; 95% CI, 0.87-0.94 per month) had lower odds. For visit preparation calls, higher patient activation scores predicted higher call completion (AOR, 1.4; 95% CI, 1.1-1.9); patient college education predicted less call completion (AOR, 0.3; 95% CI, 0.2-0.6). Supporter help taking medications predicted less completion of both call types. Patient age did not predict call completion. CONCLUSIONS: Patients of all ages completed telehealth calls at a high rate. Automated IVR calls were completed more often when urgent issues were identified to patients' providers, but less often if patients had high HbA1c or depression. Visit preparation call content should be tailored to patient education level. Family help with medications may identify patients needing additional support to engage with telehealth.

Policy and system change and community coalitions: outcomes from allies against asthma.

OBJECTIVES: We assessed policy and system changes and health outcomes produced by the Allies Against Asthma program, a 5-year collaborative effort by 7 community coalitions to address childhood asthma. We also explored associations between community engagement and outcomes. METHODS: We interviewed a sample of 1477 parents of children with asthma in coalition target areas and comparison areas at baseline and 1 year to assess quality-of-life and symptom changes. An extensive tracking and documentation procedure and a survey of 284 participating individuals and organizations were used to ascertain policy and system changes and community engagement levels. RESULTS: A total of 89 policy and system changes were achieved, ranging from changes in interinstitutional and intrainstitutional practices to statewide legislation. Allies children experienced fewer daytime (P = .008) and nighttime (P = .004) asthma symptoms than comparison children. In addition, Allies parents felt less helpless, frightened, and angry (P = .01) about their child's asthma. Type of community engagement was associated with number of policy and system changes. CONCLUSIONS: Community coalitions can successfully achieve asthma policy and system changes and improve health outcomes. Increased core and ongoing community stakeholder participation rather than a higher overall number of participants was associated with more change.

Fostering epilepsy self management: the perspectives of professionals.

Epilepsy clinical, academic, and human service professionals (N = 101) were surveyed regarding the challenges people with epilepsy face managing their condition. 30% of the respondents had personal experience with epilepsy. Interviews were transcribed and coded into themes. Response differences by profession and personal experience were examined using chi-squared tests. The two greatest challenges reported most frequently for people with epilepsy were finding high quality health care and managing psychological and emotional effects. The two most important epilepsy outcomes were seizure control and quality of life. The two greatest challenges facing clinicians were too little time with patients and limited clinical focus. The two main weaknesses in the field were insufficient research and narrow approaches to addressing epilepsy. Significant differences in responses across professions were evident as were differences according to personal experience with epilepsy. Few clinicians cited quality of care as a major challenge (p<0.0001) compared to other professions. Few respondents with personal experience with epilepsy cited stigma as a challenge (p = 0.006).

The prevention research centers' managing epilepsy well network.

The Managing Epilepsy Well (MEW) Network was created in 2007 by the Centers for Disease Control and Prevention's (CDC) Prevention Research Centers and Epilepsy Program to promote epilepsy self-management research and to improve the quality of life for people with epilepsy. MEW Network membership comprises four collaborating centers (Emory University, University of Texas Health Science Center at Houston, University of Michigan, and University of Washington), representatives from CDC, affiliate members, and community stakeholders. This article describes the MEW Network's background, mission statement, research agenda, and structure. Exploratory and intervention studies conducted by individual collaborating centers are described, as are Network collaborative projects, including a multisite depression prevention intervention and the development of a standard measure of epilepsy self-management. Communication strategies and examples of research translation programs are discussed. The conclusion outlines the Network's role in the future development and dissemination of evidence-based epilepsy self-management programs.

Study protocol: Using peer support to aid in prevention and treatment in prediabetes (UPSTART).

BACKGROUND: There is an urgent need to develop and evaluate effective and scalable interventions to prevent or delay the onset of type 2 diabetes mellitus (T2DM). METHODS: In this randomized controlled pragmatic trial, 296 adults with prediabetes will be randomized to either a peer support arm or enhanced usual care. Participants in the peer support arm meet face-to-face initially with a trained peer coach who also is a patient at the same health center to receive information on locally available wellness and diabetes prevention programs, discuss behavioral goals related to diabetes prevention, and develop an action plan for the next week to meet their goals. Over six months, peer coaches call their assigned participants weekly to provide support for weekly action steps. In the final 6 months, coaches call participants at least once monthly. Participants in the enhanced usual care arm receive information on local resources and periodic updates on available diabetes prevention programs and resources. Changes in A1c, weight, waist circumference and other patient-centered outcomes and mediators and moderators of intervention effects will be assessed. RESULTS: At least 296 participants and approximately 75 peer supporters will be enrolled. DISCUSSION: Despite evidence that healthy lifestyle interventions can improve health behaviors and reduce risk for T2DM, engagement in recommended behavior change is low. This is especially true among racial and ethnic minority and low-income adults. Regular outreach and ongoing support from a peer coach may help participants to initiate and sustain healthy behavior changes to reduce their risk of diabetes. TRIAL REGISTRATION: The ClinicalTrials.gov registration number is NCT03689530.