Barriers to receiving hepatitis C treatment for people who inject drugs: Myths and evidence

Background: Alcohol consumption, current injecting drug use, and pre-existing mental illness have been identified as 3 of the main reasons for excluding patients from treatment for hepatitis C. Objectives: We reviewed the literature to obtain an evidence base for these common exclusion criteria. Materials and Methods: We reviewed original research and meta-analyses investigating the effects of alcohol consumption, current injecting drug use, and pre-existing mental illness. Results: We identified 66 study reports relevant to the review, but found only limited evidence to support withholding of treatment on the basis of the 3 previously mentioned exclusion criteria. Conclusions: Currently, there is a lack of evidence for many of the barriers faced by patients in availing treatment for hepatitis C. Adherence to treatment routine was found to be a better predictor of sustained virological response than injecting drug or alcohol consumption during treatment period or the presence of a pre-existing mental disorder. Although several challenges remain, we need to ensure that treatment decisions are based on the best available evidence and the treatment is performed appropriately on a case-by-case basis. © 2011 Kowsar M.P.Co. All rights reserved

Lung volumes identify an at-risk group in persons with prolonged secondhand tobacco smoke exposure but without overt airflow obstruction.

IntroductionExposure to secondhand smoke (SHS) is associated with occult obstructive lung disease as evident by abnormal airflow indices representing small airway disease despite having preserved spirometry (normal forced expiratory volume in 1 s-to-forced vital capacity ratio, FEV1/FVC). The significance of lung volumes that reflect air trapping in the presence of preserved spirometry is unclear.MethodsTo investigate whether lung volumes representing air trapping could determine susceptibility to respiratory morbidity in people with SHS exposure but without spirometric chronic obstructive pulmonary disease, we examined a cohort of 256 subjects with prolonged occupational SHS exposure and preserved spirometry. We elicited symptom prevalence by structured questionnaires, examined functional capacity (maximum oxygen uptake, VO2max) by exercise testing, and estimated associations of those outcomes with air trapping (plethysmography-measured residual volume-to-total lung capacity ratio, RV/TLC), and progressive air trapping with exertion (increase in fraction of tidal breathing that is flow limited on expiration during exercise (per cent of expiratory flow limitation, %EFL)).ResultsRV/TLC was within the predicted normal limits, but was highly variable spanning 22%±13% and 16%±8% across the increments of FEV1/FVC and FEV1, respectively. Respiratory complaints were prevalent (50.4%) with the most common symptom being ≥2 episodes of cough per year (44.5%). Higher RV/TLC was associated with higher OR of reporting respiratory symptoms (n=256; r2=0.03; p=0.011) and lower VO2max (n=179; r2=0.47; p=0.013), and %EFL was negatively associated with VO2max (n=32; r2=0.40; p=0.017).ConclusionsIn those at risk for obstruction due to SHS exposure but with preserved spirometry, higher RV/TLC identifies a subgroup with increased respiratory symptoms and lower exercise capacity

Motivational Interviewing with Computer Assistance as an Intervention to Empower Women to Make Contraceptive Choices while Incarcerated: Study Protocol for Randomized Controlled Trial

Background: Unplanned pregnancies and sexually transmitted infections (STIs) are important and costly public health problems in the United States resulting from unprotected sexual intercourse. Risk factors for unplanned pregnancies and STIs (poverty, low educational attainment, homelessness, substance abuse, lack of health insurance, history of an abusive environment, and practice of commercial sex work) are especially high among women with a history of incarceration. Project CARE (Contraceptive Awareness and Reproductive Education) is designed to evaluate an innovative intervention, Motivational Interviewing with Computer Assistance (MICA), aimed at enhancing contraceptive initiation and maintenance among incarcerated women who do not want a pregnancy within the next year and who are anticipated to be released back to the community. This study aims to: (1) increase the initiation of highly effective contraceptives while incarcerated; (2) increase the continuation of highly effective contraceptive use at 3, 6, 9, and 12 months after release; and (3) decrease unsafe sexual activity. Methods/Design: This randomized controlled trial will recruit 400 women from the Rhode Island Department of Corrections (RI DOC) women’s jail at risk for an unplanned pregnancy (that is, sexually active with men and not planning/wanting to become pregnant in the next year). They will be randomized to two interventions: a control group who receive two educational videos (on contraception, STIs, and pre-conception counseling) or a treatment group who receive two sessions of personalized MICA. MICA is based on the principles of the Transtheoretical Model (TTM) and on Motivational Interviewing (MI), an empirically supported counseling technique designed to enhance readiness to change targeted behaviors. Women will be followed at 3, 6, 9, and 12 months post release and assessed for STIs, pregnancy, and reported condom use. Discussion: Results from this study are expected to enhance our understanding of the efficacy of MICA to enhance contraceptive initiation and maintenance and reduce sexual risk-taking behaviors among incarcerated women who have re-entered the community

ranacapa: An R package and Shiny web app to explore environmental DNA data with exploratory statistics and interactive visualizations.

Environmental DNA (eDNA) metabarcoding is becoming a core tool in ecology and conservation biology, and is being used in a growing number of education, biodiversity monitoring, and public outreach programs in which professional research scientists engage community partners in primary research. Results from eDNA analyses can engage and educate natural resource managers, students, community scientists, and naturalists, but without significant training in bioinformatics, it can be difficult for this diverse audience to interact with eDNA results. Here we present the R package ranacapa, at the core of which is a Shiny web app that helps perform exploratory biodiversity analyses and visualizations of eDNA results. The app requires a taxonomy-by-sample matrix and a simple metadata file with descriptive information about each sample. The app enables users to explore the data with interactive figures and presents results from simple community ecology analyses. We demonstrate the value of ranacapa to two groups of community partners engaging with eDNA metabarcoding results

A Natural Fit: Collaborations Between Community Health Centers and Family Planning Clinics

Federally Qualified Health Centers (FQHCs) and family planning clinics funded through Title X of the Public Health Service Act are critical components of the health care safety net in urban and rural medically underserved communities. Although they share the common mission of serving vulnerable and low-income populations, health centers and Title X clinics possess different, but complementary, strengths. The Patient Protection and Affordable Care Act (Affordable Care Act) will expand coverage to an additional 32 million people while leaving 23 million uninsured. Most of the newly insured and the remaining uninsured will be residents of medically-underserved communities, and thus, positioning the safety net to meet demand will be highly important

Unlocking biomarker discovery: Large scale application of aptamer proteomic technology for early detection of lung cancer

Lung cancer is the leading cause of cancer deaths, because ~84% of cases are diagnosed at an advanced stage. Worldwide in 2008, ~1.5 million people were diagnosed and ~1.3 million died – a survival rate unchanged since 1960. However, patients diagnosed at an early stage and have surgery experience an 86% overall 5-year survival. New diagnostics are therefore needed to identify lung cancer at this stage. Here we present the first large scale clinical use of aptamers to discover blood protein biomarkers in disease with our breakthrough proteomic technology. This multi-center case-control study was conducted in archived samples from 1,326 subjects from four independent studies of non-small cell lung cancer (NSCLC) in long-term tobacco-exposed populations. We measured >800 proteins in 15uL of serum, identified 44 candidate biomarkers, and developed a 12-protein panel that distinguished NSCLC from controls with 91% sensitivity and 84% specificity in a training set and 89% sensitivity and 83% specificity in a blinded, independent verification set. Performance was similar for early and late stage NSCLC. This is a significant advance in proteomics in an area of high clinical need

Pediatric Emergency Medicine Physicians’ Use of Point‐of‐care Ultrasound and Barriers to Implementation: A Regional Pilot Study

ObjectivesPoint‐of‐care ultrasound (POCUS) has been identified as a critical skill for pediatric emergency medicine (PEM) physicians. The purpose of this study was to profile the current status of PEM POCUS in pediatric emergency departments (EDs).MethodsAn electronic survey was distributed to PEM fellows and attending physicians at four major pediatric academic health centers. The 24‐item questionnaire covered professional demographics, POCUS experience and proficiency, and barriers to the use of POCUS in pediatric EDs. We used descriptive and inferential statistics to profile respondent’s PEM POCUS experience and proficiency and Rasch analysis to evaluate barriers to implementation.ResultsOur return rate was 92.8% (128/138). Respondents were attending physicians (68%) and fellows (28%). Most completed pediatric residencies prior to PEM fellowship (83.6%). Almost all had some form of ultrasound education (113/128, 88.3%). Approximately half (46.9%) completed a formal ultrasound curriculum. More than half (53.2%) said their ultrasound education was pediatric‐specific. Most participants (67%) rated their POCUS proficiency low (Levels 1–2), while rating proficiency in other professional competencies (procedures 52%, emergency stabilization 70%) high (Levels 4–5). There were statistically significant differences in POCUS proficiency between those with formal versus informal ultrasound education (p < 0.001) and those from pediatric versus emergency medicine residencies (p < 0.05). Participants identified both personal barriers discomfort with POCUS skills (76.7%), insufficient educational time to learn POCUS (65%), and negative impact of POCUS on efficiency (58.5%)—and institutional barriers to the use of ultrasound‐consultants will not use ultrasound findings from the ED (60%); insufficient mentoring (64.7%), and POCUS not being a departmental priority (57%).ConclusionsWhile POCUS utilization continues to grow in PEM, significant barriers to full implementation still persist. One significant barrier relates to the need for dedicated time to learn and practice POCUS to achieve sufficient levels of proficiency for use in practice.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/138938/1/aet210049_am.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/138938/2/aet210049-sup-0001-SupInfo.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/138938/3/aet210049.pd

Maintaining public health insurance benefits: How primary care clinics help keep low-income patients insured

Low-income families struggle to obtain and maintain public health insurance. We identified strategies used by Community Health Centers (CHCs) to assist patients with insurance applications, and assessed patients’ receptivity to these efforts. Observational cross-case comparative study with four CHCs in Oregon. We observed insurance assistance processes, and interviewed 26 clinic staff and 18 patients/family members. Qualitative data were analyzed using a grounded theory approach. Patients’ understanding of eligibility status, reapplication schedules, and how to apply, were major barriers to insurance enrollment. Clinic staff addressed these barriers by reminding patients when applications were due, assisting with applications as needed, and tracking submitted applications to ensure approval. Families trusted clinic staff with insurance enrollment support, and appreciated it. CHCs are effective at helping patients with public health insurance. Access to insurance expiration data, tools enabling enrollment activities, and compensation are needed to support enrollment services in CHCs

The ADVANCE network: accelerating data value across a national community health center network

The ADVANCE (Accelerating Data Value Across a National Community Health Center Network) clinical data research network (CDRN) is led by the OCHIN Community Health Information Network in partnership with Health Choice Network and Fenway Health. The ADVANCE CDRN will ‘horizontally’ integrate outpatient electronic health record data for over one million federally qualified health center patients, and ‘vertically’ integrate hospital, health plan, and community data for these patients, often under-represented in research studies. Patient investigators, community investigators, and academic investigators with diverse expertise will work together to meet project goals related to data integration, patient engagement and recruitment, and the development of streamlined regulatory policies. By enhancing the data and research infrastructure of participating organizations, the ADVANCE CDRN will serve as a ‘community laboratory’ for including disadvantaged and vulnerable patients in patient-centered outcomes research that is aligned with the priorities of patients, clinics, and communities in our network

Ecological Analysis of Teen Birth Rates: Association with Community Income and Income Inequality

Objectives : To examine whether per capita income and income inequality are independently associated with teen birth rate in populous U.S. counties. Methods : This study used 1990 U.S. Census data and National Center for Health Statistics birth data. Income inequality was measured with the 90:10 ratio, a ratio of percent of cumulative income held by the richest and poorest population deciles. Linear regression and analysis of variance were used to assess associations between county-level average income, income inequality, and teen birth rates among counties with population greater than 100,000. Results : Among teens aged 15–17, income inequality and per capita income were independently associated with birth rate; the mean birth rate was 54 per 1,000 in counties with low income and high income inequality, and 19 per 1,000 in counties with high income and low inequality. Among older teens (aged 18–19) only per capita income was significantly associated with birth rate. Conclusions : Although teen childbearing is the result of individual behaviors, these findings suggest that community-level factors such as income and income inequality may contribute significantly to differences in teen birth rates.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/45324/1/10995_2004_Article_344014.pd