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.

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.

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.

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.

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.

Engaging family supporters of adult patients with diabetes to improve clinical and patient-centered outcomes: study protocol for a randomized controlled trial.

BACKGROUND: Most adults with diabetes who are at high risk for complications have family or friends who are involved in their medical and self-care ("family supporters"). These family supporters are an important resource who could be leveraged to improve patients' engagement in their care and patient health outcomes. However, healthcare teams lack structured and feasible approaches to effectively engage family supporters in patient self-management support. This trial tests a strategy to strengthen the capacity of family supporters to help adults with high-risk diabetes engage in healthcare, successfully enact care plans, and lower risk of diabetes complications. METHODS/DESIGN: We will conduct a randomized trial evaluating the CO-IMPACT (Caring Others Increasing EnageMent in Patient Aligned Care Teams) intervention. Two hunded forty adults with diabetes who are at high risk for diabetes complications due to poor glycemic control or high blood pressure will be randomized, along with a family supporter (living either with the patient or remotely), to CO-IMPACT or enhanced usual primary care for 12 months. CO-IMPACT provides patient-supporter dyads: it provides one coaching session addressing supporter techniques for helping patients with behavior change motivation, action planning, and proactive communication with healthcare providers; biweekly automated phone calls to prompt dyad action on new patient health concerns; phone calls to prompt preparation for patients' primary care visits; and primary care visit summaries sent to both patient and supporter. Primary outcomes are changes in patient activation, as measured by the Patient Activation Measure-13, and change in 5-year cardiac event risk, as measured by the United Kingdom Prospective Diabetes Study cardiac risk score for people with diabetes. Secondary outcomes include patients' diabetes self-management behaviors, diabetes distress, and glycemic and blood pressure control. Measures among supporters will include use of effective support techniques, burden, and distress about patient's diabetes care. DISCUSSION: If effective in improving patient activation and diabetes management, CO-IMPACT will provide healthcare teams with evidence-based tools and techniques to engage patients' available family or friends in supporting patient self-management, even if they live remotely. The core skills addressed by CO-IMPACT can be used by patients and their supporters over time to respond to changing patient health needs and priorities. TRIAL REGISTRATION: ClinicalTrials.gov, NCT02328326 . Registered on 31 December 2014.

Demographic and Clinical Correlates of Seizure Frequency: Findings from the Managing Epilepsy Well Network Database.

BACKGROUND AND PURPOSE: Epilepsy is a chronic neurological disease that represents a tremendous burden on both patients and society in general. Studies have addressed how demographic variables, socioeconomic variables, and psychological comorbidity are related to the quality of life (QOL) of people with epilepsy (PWE). However, there has been less focus on how these factors may differ between patients who exhibit varying degrees of seizure control. This study utilized data from the Managing Epilepsy Well (MEW) Network of the Centers for Disease Control and Prevention with the aim of elucidating differences in demographic variables, depression, and QOL between adult PWE. METHODS: Demographic variables, depression, and QOL were compared between PWE who experience clinically relevant differences in seizure occurrence. RESULTS: Gender, ethnicity, race, education, income, and relationship status did not differ significantly between the seizure-frequency categories (p>0.05). People with worse seizure control were significantly younger (p=0.039), more depressed (as assessed using the Patient Health Questionnaire) (p=0.036), and had lower QOL (as determined using the 10-item Quality of Life in Epilepsy for Adults scale) (p<0.001). CONCLUSIONS: The present results underscore the importance of early screening, detection, and treatment of depression, since these factors relate to both seizure occurrence and QOL in PWE.

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.

Insight: An ontology-based integrated database and analysis platform for epilepsy self-management research.

We present Insight as an integrated database and analysis platform for epilepsy self-management research as part of the national Managing Epilepsy Well Network. Insight is the only available informatics platform for accessing and analyzing integrated data from multiple epilepsy self-management research studies with several new data management features and user-friendly functionalities. The features of Insight include, (1) use of Common Data Elements defined by members of the research community and an epilepsy domain ontology for data integration and querying, (2) visualization tools to support real time exploration of data distribution across research studies, and (3) an interactive visual query interface for provenance-enabled research cohort identification. The Insight platform contains data from five completed epilepsy self-management research studies covering various categories of data, including depression, quality of life, seizure frequency, and socioeconomic information. The data represents over 400 participants with 7552 data points. The Insight data exploration and cohort identification query interface has been developed using Ruby on Rails Web technology and open source Web Ontology Language Application Programming Interface to support ontology-based reasoning. We have developed an efficient ontology management module that automatically updates the ontology mappings each time a new version of the Epilepsy and Seizure Ontology is released. The Insight platform features a Role-based Access Control module to authenticate and effectively manage user access to different research studies. User access to Insight is managed by the Managing Epilepsy Well Network database steering committee consisting of representatives of all current collaborating centers of the Managing Epilepsy Well Network. New research studies are being continuously added to the Insight database and the size as well as the unique coverage of the dataset allows investigators to conduct aggregate data analysis that will inform the next generation of epilepsy self-management studies.

Managing information well: Toward an ontology-driven informatics platform for data sharing and secondary use in epilepsy self-management research centers.

Epilepsy is a chronic neurological condition that requires active self-management to reduce personal and population burden. The Managing Epilepsy Well Network, funded by the US Centers for Disease Control and Prevention, conducts research on epilepsy self-management. There is an urgent need to develop an integrated informatics platform to maximize the secondary use of existing Managing Epilepsy Well Network data. We have implemented multiple steps to develop an informatics platform, including: (a) a survey of existing outcome data, (b) identification of common data elements, and (c) an integrated database using an epilepsy domain ontology to reconcile data heterogeneity. The informatics platform enables assessment of epilepsy self-management samples by site and in aggregate to support data interpretations for clinical care and ongoing epilepsy self-management research. The Managing Epilepsy Well informatics platform is expected to help advance epilepsy self-management, improve health outcomes, and has potential application in other thematic research networks.

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.

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.

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.

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.

Insight: Semantic Provenance and Analysis Platform for Multi-center Neurology Healthcare Research.

Insight is a Semantic Web technology-based platform to support large-scale secondary analysis of healthcare data for neurology clinical research. Insight features the novel use of: (1) provenance metadata, which describes the history or origin of patient data, in clinical research analysis, and (2) support for patient cohort queries across multiple institutions conducting research in epilepsy, which is the one of the most common neurological disorders affecting 50 million persons worldwide. Insight is being developed as a healthcare informatics infrastructure to support a national network of eight epilepsy research centers across the U.S. funded by the U.S. Centers for Disease Control and Prevention (CDC). This paper describes the use of the World Wide Web Consortium (W3C) PROV recommendation for provenance metadata that allows researchers to create patient cohorts based on the provenance of the research studies. In addition, the paper describes the use of descriptive logic-based OWL2 epilepsy ontology for cohort queries with "expansion of query expression" using ontology reasoning. Finally, the evaluation results for the data integration and query performance are described using data from three research studies with 180 epilepsy patients. The experiment results demonstrate that Insight is a scalable approach to use Semantic provenance metadata for context-based data analysis in healthcare informatics.