The identification of the careers of mentally disordered offenders using cluster analysis in a complex realist framework

Custody diversion teams were introduced in order to divert mentally disordered offenders away from the criminal justice system and custody because of concerns about the growing prevalence of psychiatric disorder in prison populations. This research explores the impact of one such team on the psychiatric and criminal careers of people referred to it. The framework provided by a complex realist approach, along with the technique cluster analysis, were used to identify and map the different institutional careers experienced by people referred to the Cleveland Diversion Team and the different paths their careers took as a consequence of the team's actions. Five different types of career were identified. Careers One and Two describe experiences of criminalisation - violent offenders with no psychiatric history who were referred, assessed and diagnosed but had no health or social care needs identified and were not referred again. Careers Three and Four describe experiences of criminalisation - violent offenders with a psychiatric history half of whom (Career Three) were referred, assessed and diagnosed, had health or social care needs identified and were not referred again; the remainder (Career Four) were not assessed or diagnosed, nor did they have needs identified and consequently all were re-referred repeatedly. Career Five represents neither medicalisation or criminalisation - individuals referred for information and for whom little else is known. The implications of these findings include re-focusing the diversion service on Careers Three and Four. This would avoid stigmatising Careers One and Two and achieve positive outcomes by assessing and meeting the needs of all those in Careers Three and Four. In addition there is the promising application of this methodology elsewhere in other research which involves the analysis of large and complex datasets describing social processes

Using neighborhood-level census data to predict diabetes progression in patients with laboratory-defined prediabetes

Context Research on predictors of clinical outcomes usually focuses on the impact of individual patient factors, despite known relationships between neighborhood environment and health. Objective To determine whether US census information on where a patient resides is associated with diabetes development among patients with prediabetes. Design Retrospective cohort study of all 157,752 patients aged 18 years or older from Kaiser Permanente Northern California with laboratory-defined prediabetes (fasting plasma glucose, 100 mg/dL-125 mg/dL, and/or glycated hemoglobin, 5.7%-6.4%). We assessed whether census data on education, income, and percentage of households receiving benefits through the US Department of Agriculture’s Supplemental Nutrition Assistance Program (SNAP) was associated with diabetes development using logistic regression controlling for age, sex, race/ethnicity, blood glucose levels, and body mass index. Main Outcome Measure: Progression to diabetes within 36 months. Results Patients were more likely to progress to diabetes if they lived in an area where less than 16% of adults had obtained a bachelor’s degree or higher (odds ratio [OR] =1.22, 95% confidence interval [CI] = 1.09-1.36), where median annual income was below $79,999 (OR = 1.16 95% CI = 1.03-1.31), or where SNAP benefits were received by 10% or more of households (OR = 1.24, 95% CI = 1.1-1.4). Conclusion Area-level socioeconomic and food assistance data predict the development of diabetes, even after adjusting for traditional individual demographic and clinical factors. Clinical interventions should take these factors into account, and health care systems should consider addressing social needs and community resources as a path to improving health outcomes

Jefferson Village Downtown District Plan

Jefferson Village is an incorporated municipality in Northeastern Ohio, with a population in 2000 of about 4000 residents. Originally founded in 1803 and incorporated in 1836, the Village has been the county seat for Ashtabula County since 1807. The Village is centrally located in Ashtabula County, 10 miles south of Lake Erie, and 10 miles west of the Pennsylvania border. Interstate highway 90 runs parallel to the lake shore, about 6 miles north of the village; and State Route 11 is a major north-south connector located about 2 miles east of the village. The primary employment locations in the Village are the downtown County administration and the independent professional offices that serve county-related needs, and a light industrial park to the southeast of downtown. The County fairground is also located within the village limits. While residential, commercial and retail growth have occurred over the years, the village still retains much of its original Western Reserve town character. Over 25% of the buildings in the downtown district have historic merit, and both Chestnut and Jefferson Streets are lined with older brick commercial buildings, as well as large, well-kept residences of Western Reserve, Georgian and Victorian architectural styles. Village administration is still based in the original Town Hall, and residents take much pride in the small town charm of the community. In 2006, new commercial development was proposed for Chestnut Street that would have required removal of a residence of historic character, replacing it with a new, generic commercial structure and a typical street-frontage parking lot. Residents were concerned, and public discourse in the local newspaper and at Town Hall led to withdrawal of the proposal. Village leadership felt that it was time to explore the historic character and economic future of the downtown district, and establish policy that could guide future decision making for the downtown

Jefferson Village Downtown District Plan

Jefferson Village is an incorporated municipality in Northeastern Ohio, with a population in 2000 of about 4000 residents. Originally founded in 1803 and incorporated in 1836, the Village has been the county seat for Ashtabula County since 1807. The Village is centrally located in Ashtabula County, 10 miles south of Lake Erie, and 10 miles west of the Pennsylvania border. Interstate highway 90 runs parallel to the lake shore, about 6 miles north of the village; and State Route 11 is a major north-south connector located about 2 miles east of the village. The primary employment locations in the Village are the downtown County administration and the independent professional offices that serve county-related needs, and a light industrial park to the southeast of downtown. The County fairground is also located within the village limits. While residential, commercial and retail growth have occurred over the years, the village still retains much of its original Western Reserve town character. Over 25% of the buildings in the downtown district have historic merit, and both Chestnut and Jefferson Streets are lined with older brick commercial buildings, as well as large, well-kept residences of Western Reserve, Georgian and Victorian architectural styles. Village administration is still based in the original Town Hall, and residents take much pride in the small town charm of the community. In 2006, new commercial development was proposed for Chestnut Street that would have required removal of a residence of historic character, replacing it with a new, generic commercial structure and a typical street-frontage parking lot. Residents were concerned, and public discourse in the local newspaper and at Town Hall led to withdrawal of the proposal. Village leadership felt that it was time to explore the historic character and economic future of the downtown district, and establish policy that could guide future decision making for the downtown

Improving Treatment Intensification to Reduce Cardiovascular Disease Risk: A Cluster Randomized Trial

Background: Blood pressure, lipid, and glycemic control are essential for reducing cardiovascular disease (CVD) risk. Many health care systems have successfully shifted aspects of chronic disease management, including population-based outreach programs designed to address CVD risk factor control, to non-physicians. The purpose of this study is to evaluate provision of new information to non-physician outreach teams on need for treatment intensification in patients with increased CVD risk. Methods Cluster randomized trial (July 1-December 31, 2008) in Kaiser Permanente Northern California registry of members with diabetes mellitus, prior CVD diagnoses and/or chronic kidney disease who were high-priority for treatment intensification: blood pressure ≥ 140 mmHg systolic, LDL-cholesterol ≥ 130 mg/dl, or hemoglobin A1c ≥ 9%; adherent to current medications; no recent treatment intensification). Randomization units were medical center-based outreach teams (4 intervention; 4 control). For intervention teams, priority flags for intensification were added monthly to the registry database with recommended next pharmacotherapeutic steps for each eligible patient. Control teams used the same database without this information. Outcomes included 3-month rates of treatment intensification and risk factor levels during follow-up. Results: Baseline risk factor control rates were high (82-90%). In eligible patients, the intervention was associated with significantly greater 3-month intensification rates for blood pressure (34.1 vs. 30.6%) and LDL-cholesterol (28.0 vs 22.7%), but not A1c. No effects on risk factors were observed at 3 months or 12 months follow-up. Intervention teams initiated outreach for only 45-47% of high-priority patients, but also for 27-30% of lower-priority patients. Teams reported difficulties adapting prior outreach strategies to incorporate the new information. Conclusions: Information enhancement did not improve risk factor control compared to existing outreach strategies at control centers. Familiarity with prior, relatively successful strategies likely reduced uptake of the innovation and its potential for success at intervention centers. Trial registration ClinicalTrials.gov Identifier NCT0051768

Improving treatment intensification to reduce cardiovascular disease risk: a cluster randomized trial

Abstract Background Blood pressure, lipid, and glycemic control are essential for reducing cardiovascular disease (CVD) risk. Many health care systems have successfully shifted aspects of chronic disease management, including population-based outreach programs designed to address CVD risk factor control, to non-physicians. The purpose of this study is to evaluate provision of new information to non-physician outreach teams on need for treatment intensification in patients with increased CVD risk. Methods Cluster randomized trial (July 1-December 31, 2008) in Kaiser Permanente Northern California registry of members with diabetes mellitus, prior CVD diagnoses and/or chronic kidney disease who were high-priority for treatment intensification: blood pressure ≥ 140 mmHg systolic, LDL-cholesterol ≥ 130 mg/dl, or hemoglobin A1c ≥ 9%; adherent to current medications; no recent treatment intensification). Randomization units were medical center-based outreach teams (4 intervention; 4 control). For intervention teams, priority flags for intensification were added monthly to the registry database with recommended next pharmacotherapeutic steps for each eligible patient. Control teams used the same database without this information. Outcomes included 3-month rates of treatment intensification and risk factor levels during follow-up. Results Baseline risk factor control rates were high (82-90%). In eligible patients, the intervention was associated with significantly greater 3-month intensification rates for blood pressure (34.1 vs. 30.6%) and LDL-cholesterol (28.0 vs 22.7%), but not A1c. No effects on risk factors were observed at 3 months or 12 months follow-up. Intervention teams initiated outreach for only 45-47% of high-priority patients, but also for 27-30% of lower-priority patients. Teams reported difficulties adapting prior outreach strategies to incorporate the new information. Conclusions Information enhancement did not improve risk factor control compared to existing outreach strategies at control centers. Familiarity with prior, relatively successful strategies likely reduced uptake of the innovation and its potential for success at intervention centers. Trial registration ClinicalTrials.gov Identifier NCT00517686http://deepblue.lib.umich.edu/bitstream/2027.42/112310/1/12913_2012_Article_2076.pd

Going it alone won’t work! The relational imperative for social innovation in social enterprises

Shifts in the philosophy of the “state” and a growing emphasis on the “Big Society” have placed an increasing onus on a newly emerging organizational form, social enterprises, to deliver innovative solutions to ease societal issues. However, the question of how social enterprises manage the process of social innovation remains largely unexplored. Based on insights from both in-depth interviews and a quantitative empirical study of social enterprises, this research examines the role of stakeholder relationships in supporting the process of social innovation within social enterprises. We find that social enterprises are adept at working with their stakeholders in the ideation stage of social innovation. In contrast, they often fail to harness knowledge and expertise from their partners during the social innovation implementation phase. Consequently, we propose a social innovation–stakeholder relationship matrix that provides social enterprises in particular with insight for developing stakeholder relationships to achieve their social innovation missions

Interobserver reliability of classification and characterization of proximal humeral fractures: a comparison of two and three-dimensional CT

Interobserver reliability for the classification of proximal humeral fractures is limited. The aim of this study was to test the null hypothesis that interobserver reliability of the AO classification of proximal humeral fractures, the preferred treatment, and fracture characteristics is the same for two-dimensional (2-D) and three-dimensional (3-D) computed tomography (CT). Members of the Science of Variation Group--fully trained practicing orthopaedic and trauma surgeons from around the world--were randomized to evaluate radiographs and either 2-D CT or 3-D CT images of fifteen proximal humeral fractures via a web-based survey and respond to the following four questions: (1) Is the greater tuberosity displaced? (2) Is the humeral head split? (3) Is the arterial supply compromised? (4) Is the glenohumeral joint dislocated? They also classified the fracture according to the AO system and indicated their preferred treatment of the fracture (operative or nonoperative). Agreement among observers was assessed with use of the multirater kappa (κ) measure. Interobserver reliability of the AO classification, fracture characteristics, and preferred treatment generally ranged from "slight" to "fair." A few small but statistically significant differences were found. Observers randomized to the 2-D CT group had slightly but significantly better agreement on displacement of the greater tuberosity (κ = 0.35 compared with 0.30, p < 0.001) and on the AO classification (κ = 0.18 compared with 0.17, p = 0.018). A subgroup analysis of the AO classification results revealed that shoulder and elbow surgeons, orthopaedic trauma surgeons, and surgeons in the United States had slightly greater reliability on 2-D CT, whereas surgeons in practice for ten years or less and surgeons from other subspecialties had slightly greater reliability on 3-D CT. Proximal humeral fracture classifications may be helpful conceptually, but they have poor interobserver reliability even when 3-D rather than 2-D CT is utilized. This may contribute to the similarly poor interobserver reliability that was observed for selection of the treatment for proximal humeral fractures. The lack of a reliable classification confounds efforts to compare the outcomes of treatment methods among different clinical trials and reports

HIV-1 Viral loas assays for resource-limited settings

Tremendous strides have been made in treating HIV-1 infection in industrialized countries. Combination therapy with antiretroviral (ARV) drugs suppresses virus replication, delays disease progression, and reduces mortality. In industrialized settings, plasma viral load assays are used in combination with CD4 cell counts to determine when to initiate therapy and when a regimen is failing. In addition, unlike serologic assays, these assays may be used to diagnose perinatal or acute HIV-1 infection. Unfortunately, the full benefits of antiretroviral drugs and monitoring tests have not yet reached the majority of HIV-1-infected patients who live in countries with limited resources. In this article we discuss existing data on the performance of alternative viral load assays that might be useful in resource-limited settings

GFAP-Driven GFP Expression in Activated Mouse Muller Glial Cells Aligning Retinal Blood Vessels Following Intravitreal Injection of AAV2/6 Vectors

Background: Muller cell gliosis occurs in various retinal pathologies regardless of the underlying cellular defect. Because activated Muller glial cells span the entire retina and align areas of injury, they are ideal targets for therapeutic strategies, including gene therapy.Methodology/Principal Findings: We used adeno-associated viral AAV2/6 vectors to transduce mouse retinas. The transduction pattern of AAV2/6 was investigated by studying expression of the green fluorescent protein (GFP) transgene using scanning-laser ophthalmoscopy and immuno-histochemistry. AAV2/6 vectors transduced mouse Muller glial cells aligning the retinal blood vessels. However, the transduction capacity was hindered by the inner limiting membrane (ILM) and besides Muller glial cells, several other inner retinal cell types were transduced. To obtain Muller glial cell-specific transgene expression, the cytomegalovirus (CMV) promoter was replaced by the glial fibrillary acidic protein (GFAP) promoter. Specificity and activation of the GFAP promoter was tested in a mouse model for retinal gliosis. Mice deficient for Crumbs homologue 1 (CRB1) develop gliosis after light exposure. Light exposure of Crb1(-/-) retinas transduced with AAV2/6-GFAP-GFP induced GFP expression restricted to activated Muller glial cells aligning retinal blood vessels.Conclusions/Significance: Our experiments indicate that AAV2 vectors carrying the GFAP promoter are a promising tool for specific expression of transgenes in activated glial cells