Prevalence and Predictors of Chronic Health Conditions of Inmates Newly Admitted to Maximum Security Prisons.

This study estimated the prevalence of chronic medical conditions and risk predictors of 759 newly admitted inmates in two New York State maximum-security prisons. The most prevalent conditions were respiratory (34.1%), cardiovascular (17.4%), and sexually transmitted diseases (STD; 16.1%); least prevalent were HIV (3.6%), cancer (1.7%), and kidney disease (1.7%). Results of the multivariable logistic regression showed that females had higher risk for all conditions except cardiovascular and liver disease; individuals aged 40 years and older had significantly higher risk for all conditions except asthma and STD; non-Hispanic Black inmates had higher risk for respiratory disease and STD; cigarette smoking was associated with asthma; and obesity was significantly associated with diabetes, asthma, and cardiovascular conditions. These findings highlight the heavy burden of chronic illnesses among newly admitted inmates and the need to address adequate screening, prevention, and treatment services.

Concordance between medical records and interview data in correctional facilities.

BACKGROUND: Self- administered questionnaires or interviews and medical records are often used as sources of research data; thus it is essential to evaluate their concordance and reliability. The aim of this paper was to assess the concordance between medical and behavioral data obtained from medical records and interview questionnaires in two correctional facilities. METHODS: Medical record and interview data were compared for 679 inmates from one male and one female maximum security prison between April 2010 and February 2013. Gender non-stratified and gender-stratified analyses were conducted in SPSS to calculate the prevalence and kappa coefficient scores (κ) for medical (e.g., HIV, diabetes, hypertension) and behavioral (e.g., smoking, drug use, tattoos) conditions. Sensitivity/specificity between medical records and interview were calculated in the gender non-stratified data. RESULTS: In the gender non-stratified analysis, κ score for HIV, hepatitis C, diabetes, asthma, and history of tattoos had strong or good concordance (0.66-0.89). Hypertension, renal/kidney disease, cigarette smoking, antibiotic use in the last 6 months, and cocaine use ever were moderately correlated (0.49-0.57). Both history of any illicit drug use ever (0.36) and marijuana use ever (0.23) had poor concordance. Females had higher κ scores and prevalence rates than males overall. Medical conditions were reported more frequently in medical records and behavioral conditions had higher prevalence in interviews. Sensitivity for medical conditions in the combined facility data ranged from 50.0% to 86.0% and 48.2% to 85.3% for behavioral conditions whereas specificity ranged from 95.9% to 99.5% for medical conditions and 75.9% to 92.8% for behavioral conditions. CONCLUSION: Levels of agreement between medical records and self-reports varied by type of factor. Medical conditions were more frequently reported by chart review and behavioral factors more frequently by self-report. Data source used may need to be chosen carefully depending upon the type of information sought.