85 research outputs found

    A Comparison of Psychiatrist Evaluation and Patient Symptom Report in a Jail Telepsychiatry Clinic

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    This is the publisher's version, also available electronically from http://online.liebertpub.com/doi/abs/10.1089/tmj.2004.10.S-54.The effectiveness of a jail telepsychiatry service was evaluated by comparing psychiatrist and inmate report of psychopathology. Sixty-two inmates completed a total of 107 consultations at a rural county jail via interactive televideo. The inmates completed the Symptom Rating Checklist-90-Revised (SCL-90-R), and the psychiatrist completed a Psychiatrist Evaluation Form including the Clinical Global Impression Scale—Severity Index (CGI) after each teleconsultation. Most inmates were rated mild to moderately ill on the CGI. There was a significant, high correlation between telepsychiatrist evaluation on the CGI and inmate report of overall symptoms on the SCL-90-R [r(101) = 0.35, p < 0.05]. The findings support the effectiveness of telepsychiatric evaluation for the jail population. The patterns of telepsychiatric use in the county jail as well as future directions in this setting are described

    Integrating Telehealth and Community Health Workers to Enhance Quality Care Access: A Narrative Review

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    Community Health Workers (CHWs) often share cultural, geographic, or other lived experiences with patients and provide health education and support. Use of CHWs and telehealth approaches are promising strategies for addressing the needs of patients with metabolic syndrome (MetS). This narrative review analyzed how these approaches were integrated into programs expanding care access for patients with MetS. Searching PubMed, PSYCInfo, Embase, Web of Science, and Google Scholar resulted in 1,630+ abstracts screened and 12 articles meeting inclusion criteria. These studies examined implementation of tele-mentoring approaches (n=4), patient group classes via videoconferencing (n=2), or individual telehealth consultations facilitated by CHWs (n=7), with some programs including multiple intervention types. This review included adults ranging from 37-79 years old. Most studies focused on late mid-life (ages 50-64). Because health behaviors in midlife have important implications for MetS and related health concerns in later life, it is important to consider midlife interventions. Using the RE-AIM framework, we evaluated studies on five dimensions: reach, effectiveness, adoption, implementation, and maintenance. Reach and implementation indicators suggest reducing barriers to engagement (e.g., home visits) allows for higher participation and program completion rates. Measures of MetS-related behavioral outcomes were heterogeneous across study designs, making overall effectiveness difficult to determine. Adjusting time spent with patients according to health literacy and clinical needs is a strategy CHW programs use to provide equitable, cost-effective care. Programmatic considerations for implementing programs that include both CHWs and telehealth are discussed, with special consideration for what works in late middle age and in older adulthood

    momHealth: A Feasibility Study of a Multi-behavioral Health Intervention for Pregnant and Parenting Adolescent Mothers

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    Introduction. In 2016, 209,809 babies were born to mothers 15 -19 years of age, for a live birth rate of 20.3 per 1,000 in this age group. Many health issues surround adolescent mothers and their infants, many  which can be addressed through behavioral change. We examined feasibility and acceptability of momHealth, a Multiple Health Behavior Change (MHBC) intervention focused on breastfeeding, healthy eating/active living, and depression prevention among pregnant and parenting adolescents. Methods. We used a one-group quasi-experimental longitudinal design. Nine iPad-delivered education modules, text messaging, and virtual group and individual support were provided for 12 weeks, beginning at 32 weeks of pregnancy with follow-up to 3 months postpartum. Data were collected at three home visits and ten postpartum weekly and biweekly online surveys. Results. Although recruitment and attrition presented challenges, six participants enrolled; all were pregnant with their first child, single, and had a mean age of 17.7 years (SD = 1.4). Intervention participation ranged from 59% to 91% for intervention components and three peer support groups were held. Intervention feasibility was supported by reports of clear and relevant content, reasonable time burden, iPad ease of use, and acceptable intervention length. Data collection was reported as convenient and non-burdensome, but diet recalls and activity monitoring challenged some.    Conclusions. This was the first MHBC research in adolescent pregnant women to improve breastfeeding outcomes, healthy eating/active living, and depression prevention. Findings demonstrated strengths and challenges of the interventions and methods, support feasibility and acceptability of momhealth, and informed a pilot randomized trial.

    Reshaping Health Care Delivery for Adolescent Parents: Healthy Steps and Telemedicine

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    This is the publisher's version, also available electronically from http://online.liebertpub.com/doi/abs/10.1089/153056203772744725.Healthy Steps over Telemedicine uses telemedicine technology to bring child development services to adolescent parents in an urban school district. Videoconferencing units link teen parents at a Kansas City high school to developmental specialists and physicians at the Kansas University Medical Center (KUMC). Program participants receive developmental services and valuable health care information without leaving the school. The Healthy Steps goals are to educate parents about health care issues and to help them access medical care for their children and themselves. The telehealth goals are to implement the established Health Steps program effectively over the new medium. This article describes the process of delivering Healthy Steps services via telemedicine, specifically, selection and description of the site, selection of the technology, services provided, research evaluation, and lessons learned

    Integrating Quality Improvement Into the ECHO Model to Improve Care for Children and Youth With Epilepsy

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    Objective: Project ECHO (Extension for Community Healthcare Outcomes), a telementoring program, utilizes lectures, case-based learning, and an “all teach–all learn” approach to increase primary care provider (PCP) knowledge/confidence in managing chronic health conditions. The American Academy of Pediatrics (AAP) Epilepsy and Comorbidities ECHO incorporated quality improvement (QI) methodology to create meaningful practice change, while increasing PCP knowledge/self-efficacy in epilepsy management using the ECHO model. Methods: Monthly ECHO sessions (May 2018 to December 2018) included lectures, case presentations/discussion, and QI review. Pediatric practices were recruited through the AAP. Practices engaged in ECHO sessions and improvement activities including monthly Plan-Do-Study-Act cycles, team huddles, chart reviews, and QI coaching calls to facilitate practice change. They were provided resource toolkits with documentation templates, safety handouts, and medication side effects sheets. QI measures were selected from the American Academy of Neurology Measurement Set for Epilepsy. The AAP Quality Improvement Data Aggregator was used for data entry, run chart development, and tracking outcomes. Participants completed retrospective surveys to assess changes in knowledge and self-efficacy. Results: Seven practices participated across five states. Average session attendance was 14 health professionals (range = 13-17). A total of 479 chart reviews demonstrated improvement in six of seven measures: health care transition (45.3%, P =.005), safety education (41.6%, P =.036), mental/behavioral health screening (32.2% P =.027), tertiary center referral (26.7%, not significant [n.s.]), antiseizure therapy side effects (23%, n.s.), and documenting seizure frequency (7.1%, n.s.); counseling for women of childbearing age decreased by 7.8%. Significance: This project demonstrated that integrating QI into an ECHO model results in practice change and increases PCP knowledge/confidence/self-efficacy in managing epilepsy

    Recruitment and reach in a school-based pediatric obesity intervention trial in rural areas

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    Introduction: The purpose of this study is to evaluate two recruitment strategies on schools and participant participation rates and representativeness (reach) within a pediatric obesity treatment trial tailored for families who live in rural areas. Methods: Recruitment of schools was evaluated based on their progress toward enrolling participants. Recruitment and reach of participants were evaluated using (1) participation rates and (2) representativeness of demographics and weight status of participants compared to eligible participants (who did not consent and enroll) and all students (regardless of eligibility). School recruitment, as well as participant recruitment and reach, were evaluated across recruitment methods comparing opt-in (i.e., caregivers agreed to allow their child to be screened for eligibility) vs. screen-first (i.e., all children screened for eligibility). Results: Of the 395 schools contacted, 34 schools (8.6%) expressed initial interest; of these, 27 (79%) proceeded to recruit participants, and 18 (53%) ultimately participated in the program. Of schools who initiated recruitment, 75% of schools using the opt-in method and 60% of schools using the screen-first method continued participation and were able to recruit a sufficient number of participants. The average participation rate (number of enrolled individuals divided by those who were eligible) from all 18 schools was 21.6%. This percentage was higher in schools using the screen-first method (average of 29.7%) compared to schools using the opt-in method (13.5%). Study participants were representative of the student population based on sex (female), race (White), and eligibility for free and reduced-price lunch. Study participants had higher body mass index (BMI) metrics (BMI, BMIz, and BMI%) than eligible non-participants. Conclusions: Schools using the opt-in recruitment were more likely to enroll at least 5 families and administer the intervention. However, the participation rate was higher in screen-first schools. The overall study sample was representative of the school demographics

    Pan-Cancer Analysis of lncRNA Regulation Supports Their Targeting of Cancer Genes in Each Tumor Context

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    Long noncoding RNAs (lncRNAs) are commonly dys-regulated in tumors, but only a handful are known toplay pathophysiological roles in cancer. We inferredlncRNAs that dysregulate cancer pathways, onco-genes, and tumor suppressors (cancer genes) bymodeling their effects on the activity of transcriptionfactors, RNA-binding proteins, and microRNAs in5,185 TCGA tumors and 1,019 ENCODE assays.Our predictions included hundreds of candidateonco- and tumor-suppressor lncRNAs (cancerlncRNAs) whose somatic alterations account for thedysregulation of dozens of cancer genes and path-ways in each of 14 tumor contexts. To demonstrateproof of concept, we showed that perturbations tar-geting OIP5-AS1 (an inferred tumor suppressor) andTUG1 and WT1-AS (inferred onco-lncRNAs) dysre-gulated cancer genes and altered proliferation ofbreast and gynecologic cancer cells. Our analysis in-dicates that, although most lncRNAs are dysregu-lated in a tumor-specific manner, some, includingOIP5-AS1, TUG1, NEAT1, MEG3, and TSIX, synergis-tically dysregulate cancer pathways in multiple tumorcontexts

    Pan-cancer Alterations of the MYC Oncogene and Its Proximal Network across the Cancer Genome Atlas

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    Although theMYConcogene has been implicated incancer, a systematic assessment of alterations ofMYC, related transcription factors, and co-regulatoryproteins, forming the proximal MYC network (PMN),across human cancers is lacking. Using computa-tional approaches, we define genomic and proteo-mic features associated with MYC and the PMNacross the 33 cancers of The Cancer Genome Atlas.Pan-cancer, 28% of all samples had at least one ofthe MYC paralogs amplified. In contrast, the MYCantagonists MGA and MNT were the most frequentlymutated or deleted members, proposing a roleas tumor suppressors.MYCalterations were mutu-ally exclusive withPIK3CA,PTEN,APC,orBRAFalterations, suggesting that MYC is a distinct onco-genic driver. Expression analysis revealed MYC-associated pathways in tumor subtypes, such asimmune response and growth factor signaling; chro-matin, translation, and DNA replication/repair wereconserved pan-cancer. This analysis reveals insightsinto MYC biology and is a reference for biomarkersand therapeutics for cancers with alterations ofMYC or the PMN

    Genomic, Pathway Network, and Immunologic Features Distinguishing Squamous Carcinomas

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    This integrated, multiplatform PanCancer Atlas study co-mapped and identified distinguishing molecular features of squamous cell carcinomas (SCCs) from five sites associated with smokin

    Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images

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    Beyond sample curation and basic pathologic characterization, the digitized H&E-stained images of TCGA samples remain underutilized. To highlight this resource, we present mappings of tumorinfiltrating lymphocytes (TILs) based on H&E images from 13 TCGA tumor types. These TIL maps are derived through computational staining using a convolutional neural network trained to classify patches of images. Affinity propagation revealed local spatial structure in TIL patterns and correlation with overall survival. TIL map structural patterns were grouped using standard histopathological parameters. These patterns are enriched in particular T cell subpopulations derived from molecular measures. TIL densities and spatial structure were differentially enriched among tumor types, immune subtypes, and tumor molecular subtypes, implying that spatial infiltrate state could reflect particular tumor cell aberration states. Obtaining spatial lymphocytic patterns linked to the rich genomic characterization of TCGA samples demonstrates one use for the TCGA image archives with insights into the tumor-immune microenvironment
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