A 6-Month Prospective Trial of a Personalized Behavioral Intervention + Long-Acting Injectable Antipsychotic in Individuals With Schizophrenia at Risk of Treatment Nonadherence and Homelessness.

PURPOSE: Long-acting injectable antipsychotics (LAI) can optimize adherence for high-risk serious mental illness (SMI). This customized adherence-enhancement approach delivered by social worker interventionists was combined with LAI (CAE-L) of paliperidone palmitate for homeless, poorly adherent individuals with SMI. METHODS: This 6-month prospective, uncontrolled trial of CAE-L in 30 recently homeless individuals with SMI assessed adherence using the Tablets Routine Questionnaire, injection frequency, and SMI symptoms measured by the Positive and Negative Syndrome Scale, Brief Psychiatric Rating Scale, and Clinical Global Impressions. The Social and Occupational Functioning Assessment Scale measured social function. Standardized scales assessed extrapyramidal effects. FINDINGS: Patients' mean age was 43.6 (SD, 9.53) years, and they were mainly minorities (86.7% African American) and single/never married (72.4%). Rate of substance abuse within the past year was 40.0%, and rate of incarceration within the past 6 months was 32.1%. Four participants (13.3%) terminated the study prematurely. Customized adherence enhancement + LAI was associated with good adherence to LAI (92.9%) and improved adherence with oral drug as measured by Tablets Routine Questionnaire (P = 0.02). There were significant improvements in Positive and Negative Syndrome Scale (P < 0.01), Brief Psychiatric Rating Scale (P < 0.001), Clinical Global Impressions (P = 0.003), and Social and Occupational Functioning Assessment Scale (P = 0.005). There were no significant extrapyramidal effects. IMPLICATIONS: While findings must be tempered by the methodological limitations, CAE-L seems associated with multiple domains of improvement in homeless/recently homeless individuals with SMI. Adverse effects limit tolerability in some individuals, and not all will remain engaged. However, LAI combined with a patient-centered behavioral approach can improve outcomes for some high-risk individuals with SMI.

A randomized prospective pilot trial of Web-delivered epilepsy stigma reduction communications in young adults.

OBJECTIVE: Epilepsy is a common neurological condition that is often associated with stigmatizing attitudes and negative stereotypes among the general public. This randomized controlled trial (RCT) tested two new communication approaches targeting epilepsy stigma versus an education-alone approach. METHODS: Two brief stigma-reduction videos were developed, informed by community stakeholder input; one highlighted role competency in people with epilepsy; the other highlighted social inclusion of people with epilepsy. A control video was also developed. A Web-based survey using a prospective RCT design compared effects of experimental videos and control on acceptability, perceived impact, epilepsy knowledge, and epilepsy stigma. Epilepsy knowledge and stigma were measured with the Epilepsy Knowledge Questionnaire (EKQ) and Attitudes and Beliefs about Living with Epilepsy (ABLE), respectively. RESULTS: A total of 295 participants completed the study. Mean age was 23.1 (standard deviation = 3.27) years; 59.0% were male, and 71.4% were white. Overall, respondents felt videos impacted their epilepsy attitudes. EKQ scores were similar across videos, with a trend for higher knowledge in experimental videos versus control (p = 0.06). The role competency and control videos were associated with slightly better perceived impact on attitudes. There were no differences between videos on ABLE scores (p = 0.568). There were subgroup differences suggesting that men, younger individuals, whites, and those with personal epilepsy experience had more stigmatizing attitudes. SIGNIFICANCE: This RCT tested communication strategies to improve knowledge and attitudes about epilepsy. Although this initial effort will require follow-up, we have demonstrated the acceptability, feasibility, and potential of novel communication strategies to target epilepsy stigma, and a Web-based approach for assessing them.

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.

A Reexamination of Nonpsychiatric Medication Adherence in Individuals With Bipolar Disorder and Medical Comorbidities.

Individuals with bipolar disorder (BD) have high rates of nonadherence, medical illness, and premature mortality. This analysis reexamined correlates of poor adherence to nonpsychiatric medication in 73 patients with BD and medical comorbidities. The majority was female (74%) and African American (77%) with mean age of 48.08 (SD, 8.04) years, mean BD duration of 28.67 (SD, 10.24) years, mean years of education of 12.01 (SD, 1.87), and mean proportion of days with missed doses in past week of 43.25 (SD, 31.14). Sex, age, education, race, and living alone did not correlate with adherence. More BD medications and more severe psychiatric symptoms correlated with worse adherence. Specifically, poor adherence correlated with the retardation and vegetative factors of Montgomery-Åsberg Depression Rating Scale and affect factor of the Brief Psychiatric Rating Scale. Among poorly adherent patients with BD and medical comorbidities, the number of BD medications, tension/anxiety, and somatic symptoms of depression related to worse nonpsychiatric medication adherence.

Turnover among Community Mental Health Workers in Ohio.

This study examined turnover of community mental health workers in 42 randomly selected mental health agencies in Ohio. The turnover rate in 2011 was 26 %. A regression analysis indicated that agencies with lower turnover offered higher maximum pay and were smaller in size, while those offering career advancement opportunities, such as career ladder programs, had higher turnover. The findings suggest that improving wages for workers is likely to reduce turnover. It is also possible that smaller agencies have lower turnover due to stronger relationships with workers and/or more successful hiring practices. Furthermore, turnover that occurs as a result of career advancement could have positive effects and should be examined separate from other types of turnover in the future.

Targeted Self-Management of Epilepsy and Mental Illness for individuals with epilepsy and psychiatric comorbidity.

OBJECTIVES: Serious mental illness is disproportionately common in people with epilepsy and contributes to complications and mortality. Few care approaches specifically target individuals who have epilepsy and severe mental illness. We used an iterative process to refine an existing intervention and tested the novel intervention, Targeted Self-Management for Epilepsy and Mental Illness (TIME) in individuals with epilepsy and comorbid mental illness (E-MI). METHODS: The TIME intervention was developed with input from a community advisory board and then tested for feasibility, acceptability, and preliminary efficacy in people with E-MI, using a 16-week prospective, randomized controlled design comparing TIME (N=22) vs. treatment as usual (TAU, N=22). Primary outcome was change in depressive symptoms, assessed by the Montgomery Asberg Depression Rating Scale (MADRS). Secondary assessments included global psychiatric symptom severity, seizure frequency, sleep patterns, quality of life, stigma, social support, and self-efficacy. RESULTS: There were 44 individuals enrolled, mean age 48.25 (SD=11.82) with 25 (56.8%) African-Americans. The majority (N=31, 70.5%) were unemployed, and most (N=41, 95.5%) had annual income

Examining direct service worker turnover in three long-term care industries in Ohio.

This is the first study to examine direct service worker turnover and its predictors across three provider types: nursing homes, home health agencies, and providers of services for the developmentally disabled. Stratified random sampling procedures were used to select provider types across five geographic regions in Ohio. Data were collected from administrative staff. Findings indicated that annual direct service worker turnover did not significantly vary by provider type (mean = 33%). Predictors of turnover related to job burnout, negative social support, and region. Policymakers can promote practices to lower direct service worker turnover such as addressing burnout and increasing support.

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.

Patients' perceptions of barriers to self-managing bipolar disorder: A qualitative study.

BACKGROUND: Self-management of bipolar disorder (BD) is challenging for many individuals. MATERIAL: Interviews were used to assess perceived barriers to disease self-management among 21 high-risk patients with BD. Content analysis, with an emphasis on dominant themes, was used to analyze the data. RESULTS: Three major domains of barriers emerged: individual barriers (psychological, knowledge, behavioral and physical health); family/community-level barriers (lack of support and resources); and provider/healthcare system (inadequate communication and access to care). CONCLUSION: Care approaches providing social and peer support, optimizing communication with providers and integrating medical and psychiatric care may improve self-management of BD in this vulnerable population.

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.

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.