The Mortality After Release from Incarceration Consortium (MARIC): Protocol for a multi-national, individual participant data meta-analysis.

INTRODUCTION: More than 30 million adults are released from incarceration globally each year. Many experience complex physical and mental health problems, and are at markedly increased risk of preventable mortality. Despite this, evidence regarding the global epidemiology of mortality following release from incarceration is insufficient to inform the development of targeted, evidence-based responses. Many previous studies have suffered from inadequate power and poor precision, and even large studies have limited capacity to disaggregate data by specific causes of death, sub-populations or time since release to answer questions of clinical and public health relevance. OBJECTIVES: To comprehensively document the incidence, timing, causes and risk factors for mortality in adults released from prison. METHODS: We created the Mortality After Release from Incarceration Consortium (MARIC), a multi-disciplinary collaboration representing 29 cohorts of adults who have experienced incarceration from 11 countries. Findings across cohorts will be analysed using a two-step, individual participant data meta-analysis methodology. RESULTS: The combined sample includes 1,337,993 individuals (89% male), with 75,795 deaths recorded over 9,191,393 person-years of follow-up. CONCLUSIONS: The consortium represents an important advancement in the field, bringing international attention to this problem. It will provide internationally relevant evidence to guide policymakers and clinicians in reducing preventable deaths in this marginalized population. KEY WORDS: Mortality; incarceration; prison; release; individual participant data meta-analysis; consortium; cohort.

Prediction of Future Chronic Opioid Use Among Hospitalized Patients.

BACKGROUND: Opioids are commonly prescribed in the hospital; yet, little is known about which patients will progress to chronic opioid therapy (COT) following discharge. We defined COT as receipt of ≥ 90-day supply of opioids with < 30-day gap in supply over a 180-day period or receipt of ≥ 10 opioid prescriptions over 1 year. Predictive tools to identify hospitalized patients at risk for future chronic opioid use could have clinical utility to improve pain management strategies and patient education during hospitalization and discharge. OBJECTIVE: The objective of this study was to identify a parsimonious statistical model for predicting future COT among hospitalized patients not on COT before hospitalization. DESIGN: Retrospective analysis electronic health record (EHR) data from 2008 to 2014 using logistic regression. PATIENTS: Hospitalized patients at an urban, safety net hospital. MAIN MEASUREMENTS: Independent variables included medical and mental health diagnoses, substance and tobacco use disorder, chronic or acute pain, surgical intervention during hospitalization, past year receipt of opioid or non-opioid analgesics or benzodiazepines, opioid receipt at hospital discharge, milligrams of morphine equivalents prescribed per hospital day, and others. KEY RESULTS: Model prediction performance was estimated using area under the receiver operator curve, accuracy, sensitivity, and specificity. A model with 13 covariates was chosen using stepwise logistic regression on a randomly down-sampled subset of the data. Sensitivity and specificity were optimized using the Youden's index. This model predicted correctly COT in 79% of the patients and no COT correctly in 78% of the patients. CONCLUSIONS: Our model accessed EHR data to predict 79% of the future COT among hospitalized patients. Application of such a predictive model within the EHR could identify patients at high risk for future chronic opioid use to allow clinicians to provide early patient education about pain management strategies and, when able, to wean opioids prior to discharge while incorporating alternative therapies for pain into discharge planning.

Tuberculosis testing in correctional officers: a national random survey of jails in the United States.

SETTING: The correctional system in the United States is large and growing. The Centers for Disease Control and Prevention recommend baseline and annual testing of employees in correctional facilities for latent tuberculosis infection (LTBI). OBJECTIVE: To describe the extent of and factors associated with LTBI testing practices for jail correctional officers. DESIGN: A national survey of 1760 randomly selected jails was conducted. We used multivariable logistic regression models to examine factors associated with testing officers in a guideline-concordant manner and having a written policy. RESULTS: A total of 1174 (67%) surveys were returned. Only 52% of jails had a written policy on LTBI testing of officers, and 51% screened officers at least annually (guideline concordance). Large jails (OR 2.41, 95%CI 1.67-3.49) and jails in states with a high tuberculosis incidence (OR 1.67, 95%CI 1.17-2.38) and in the Midwest (OR 1.58, 95%CI 1.07-2.33) were more likely to screen in a guideline-concordant manner. CONCLUSION: Screening for LTBI among correctional officers in the United States was inconsistent. Strategies to improve LTBI testing among correctional officers are needed.

Prevalence of chronic medical conditions among jail and prison inmates in the USA compared with the general population.

BACKGROUND: Despite growing inmate populations in the USA, inmates are excluded from most national health surveys and little is known about whether the prevalence of chronic disease differs between inmates and the non-institutionalised population. METHODS: Nationally representative, cross-sectional data from the 2002 Survey of Inmates in Local Jails, 2004 Survey of Inmates in State and Federal Correctional Facilities and 2002-4 National Health Interview Survey Sample Adult Files on individuals aged 18-65 were used. Binary and multinomial logistic regression were used to compare the prevalence of self-reported chronic medical conditions among jail (n = 6582) and prison (n = 14,373) inmates and non-institutionalised (n = 76 597) adults after adjusting for age, sex, race, education, employment, the USA as birthplace, marital status and alcohol consumption. Prevalence and adjusted ORs with 95% CIs were calculated for nine important chronic conditions. RESULTS: Compared with the general population, jail and prison inmates had higher odds of hypertension (OR(jail) 1.19; 95% CI 1.08 to 1.31; OR(prison) 1.17; 95% CI 1.09 to 1.27), asthma (OR(jail) 1.41; 95% CI 1.28 to 1.56; OR(prison) 1.34; 95% CI 1.22 to 1.46), arthritis (OR(jail) 1.65; 95% CI 1.47 to 1.84; OR(prison) 1.66; 95% CI 1.54 to 1.80), cervical cancer (OR(jail) 4.16; 95% CI 3.13 to 5.53; OR(prison) 4.82; 95% CI 3.74 to 6.22), and hepatitis (OR(jail) 2.57; 95% CI 2.20 to 3.00; OR(prison) 4.23; 95% CI 3.71 to 4.82), but no increased odds of diabetes, angina or myocardial infarction, and lower odds of obesity. CONCLUSIONS: Jail and prison inmates had a higher burden of most chronic medical conditions than the general population even with adjustment for important sociodemographic differences and alcohol consumption.

High prevalence of abscesses and cellulitis among community-recruited injection drug users in San Francisco.

The prevalence of and risk factors for abscesses and cellulitis were investigated among a community sample of injection drug users (IDUs). Participants were interviewed, and those with symptoms were examined. Of 169 IDUs, 54 (32%) had abscesses (n=35), cellulitis (n=5), or both (n=14); 27% had lanced their own abscesses; and 16% had self-treated with antibiotics they purchased on the street. IDUs who skin-popped (injected subcutaneously or intramuscularly) were more likely to have an abscess or cellulitis than those who had injected only intravenously (odds ratio, 4.9; 95% confidence interval, 2.2-11). The likelihood of abscesses and cellulitis increased with frequency of skin-popping and decreased with increasing duration of injection drug use. Abscesses are extremely prevalent among IDUs in San Francisco. Skin-popping is a major risk factor, and self-treatment is common.