Psychiatric disorders, HIV infection and HIV/hepatitis co-infection in the correctional setting.

Psychiatric disorders such as bipolar disorder, schizophrenia and depression have long been associated with risk behaviors for HIV, hepatitis C virus (HCV) and hepatitis B virus (HBV). The US prison population is reported to have elevated rates of HIV, hepatitis and most psychiatric disorders. This study examined the association of six major psychiatric disorders with HIV mono-infection, HIV/HCV co-infection and HIV/HBV co-infection in one of the nation's largest prison populations. The study population consisted of 370,511 Texas Department of Criminal Justice inmates who were incarcerated for any duration between January 1, 2003 and July 1, 2006. Information on medical conditions and sociodemographic factors was obtained from an institution-wide electronic medical information system. Offenders diagnosed with HIV mono-infection, HIV/HCV, HIV/HBV and all HIV combined exhibited elevated rates of major depression, bipolar disorder, schizophrenia, schizoaffective disorder, non-schizophrenic psychotic disorder and any psychiatric disorder. In comparison to offenders with HIV mono-infection, those with HIV/HCV co-infection had an elevated prevalence of any psychiatric disorder. This cross-sectional study's finding of positive associations between psychiatric disease and both HIV infection and hepatitis co-infection among Texas prison inmates holds both clinical and public health relevance. It will be important for future investigations to examine the extent to which psychiatric disorders serve as a barrier to medical care, communication with clinicians and adherence to prescribed medical regimens among both HIV-mono-infected and HIV/hepatitis-co-infected inmates.

Baseline predictors of three types of antiretroviral therapy (ART) adherence: A 2-year follow-up.

The purposes of the study were to measure adherence with antiretroviral therapy to dose, schedule, and dietary instructions in a sample of patients with HIV infection in Stockholm, Sweden, over a 2-year period and identify baseline predictors of the three types of adherence. The study cohort consists of 144 patients who completed at least six out of seven follow-up self-reported adherence questionnaires. Baseline self-administrated questionnaire examined socio-demographics, medication-related, psychological, cognitive, and social context factors and self-reported adherence. Biomedical data were obtained through patients' medical records. Summary dose, schedule, and dietary instructions adherence scores provided outcome measures reflecting 100% adherence across all time points or not 100% adherence during at least one measurement period. A total of 61% maintained consistent full-dose adherence throughout baseline and all follow-up visits and equivalent proportion of 100% schedule adherence was 39%. Among patients with dietary instructions, 37% retained consistent adherence at all visits. Only schedule adherence was predicted by baseline data; perceived pressures from medical staff to take HIV medications (OR 0.51, p < .05), life stress (OR 0.13, p < .01), ART health concerns (OR 0.19, p < .01), and ART prolongs one's life (OR 0.39, p < .05) predicted reduced schedule adherence over time. Perceived medication pressures from those close to the patient (OR 1.76, p < .05), post-traumatic stress disorder symptoms (OR 1.07 p<.01), and adherence self-efficacy (OR 3.50, p < .05) predicted positive schedule adherence over time. These results clearly illustrate difficulties in sustaining ART adherent behaviour, in particular schedule and dietary restrictions, over time and thus emphasizes the importance of multiple periodic assessments of all three types of adherence. Interventions aimed at improving schedule adherence should in particular focus on psychological and cognitive factors.

Baseline predictors of three types of antiretroviral therapy (ART) adherence: a 2-year follow-up.

The purposes of the study were to measure adherence with antiretroviral therapy to dose, schedule, and dietary instructions in a sample of patients with HIV infection in Stockholm, Sweden, over a 2-year period and identify baseline predictors of the three types of adherence. The study cohort consists of 144 patients who completed at least six out of seven follow-up self-reported adherence questionnaires. Baseline self-administrated questionnaire examined socio-demographics, medication-related, psychological, cognitive, and social context factors and self-reported adherence. Biomedical data were obtained through patients' medical records. Summary dose, schedule, and dietary instructions adherence scores provided outcome measures reflecting 100% adherence across all time points or not 100% adherence during at least one measurement period. A total of 61% maintained consistent full-dose adherence throughout baseline and all follow-up visits and equivalent proportion of 100% schedule adherence was 39%. Among patients with dietary instructions, 37% retained consistent adherence at all visits. Only schedule adherence was predicted by baseline data; perceived pressures from those close to the patient to take HIV medications (OR 0.51, p<.05), life stress (OR 0.13, p 0.009), ART health concerns (OR 0.19, p 0.003), and ART prolongs one's life (OR 0.39, p 0.04) predicted reduced schedule adherence over time. Perceived medication pressures from medical staff (OR 1.76, p<.05), post-traumatic stress disorder symptoms (OR 1.07 p<.01), and adherence self-efficacy (OR 3.50, p<.05) predicted positive schedule adherence over time. These results clearly illustrate difficulties in sustaining ART adherent behaviour, in particular schedule and dietary restrictions, over time and thus emphasizes the importance of multiple periodic assessments of all three types of adherence. Interventions aimed at improving schedule adherence should in particular focus on psychological and cognitive factors.

Left atrial volume: important risk marker of incident atrial fibrillation in 1655 older men and women.

OBJECTIVE: To evaluate the contribution of left atrial (LA) volume in predicting atrial fibrillation (AF). PATIENTS AND METHODS: In this retrospective cohort study, a random sample of 2200 adults was identified from all Olmsted County, Minnesota, residents who had undergone transthoracic echocardiographic assessment between 1990 and 1998 and were 65 years of age or older at the time of examination, were in sinus rhythm, and had no history of AF or other atrial arrhythmias, stroke, pacemaker, congenital heart disease, or valve surgery. The LA volume was measured off-line by using a biplane area-length method. Clinical characteristics and the outcome event of incident AF were determined by retrospective review of medical records. Echocardiographic data were retrieved from the laboratory database. From this cohort, 1655 patients in whom LA size data were available were followed from baseline echocardiogram until development of AF or death. The clinical and echocardiographic associations of AF, especially with respect to the role of LA volume in predicting AF, were determined. RESULTS: A total of 666 men and 989 women, mean +/- SD age of 75.2 +/- 7.3 years (range, 65-105 years), were followed for a mean +/- SD of 3.97 +/- 2.75 years (range, < 1.00-10.78 years); 189 (11.4%) developed AF. Cox model 5-year cumulative risks of AF by quartiles of LA volume were 3%, 12%, 15%, and 26%, respectively. With Cox proportional hazards multivariate models, logarithmic LA volume was an independent predictor of AF, incremental to clinical risk factors. After adjusting for age, sex, valvular heart disease, and hypertension, a 30% larger LA volume was associated with a 43% greater risk of AF, incremental to history of congestive heart failure (hazard ratio [HR], 1.887; 95% confidence interval [CI], 1.230-2.895; P = .004), myocardial infarction (HR, 1.751; 95% CI, 1.189-2.577; P = .004), and diabetes (HR, 1.734; 95% CI, 1.066-2.819; P = .03). Left atrial volume remained incremental to combined clinical risk factors and M-mode LA dimension for prediction of AF (P < .001). CONCLUSION: This study showed that a larger LA volume was associated with a higher risk of AF in older patients. The predictive value of LA volume was incremental to that of clinical risk profile and conventional M-mode LA dimension.

The prevalence of mental illness in prison.

Over the last decade state prisons have experienced unprecedented growth and many demographic changes. At the same time, courts are requiring states to provide mental health screening and treatment to prisoners. Findings from recent studies indicate that the prevalence of mental illness is higher in prisons than in the community, and comorbidity is common. Our ability to generalize from these studies is limited, however, because of major shifts in the demographic mix in prisons during the past decade. New studies on the prevalence of mental illness in prisons, which consider these recent changes would help planners allocate funds and staff to more effectively meet the needs of these individuals.

The impact of knowledge and opinions on the implementation of public policies for mentally ill offenders.

New legislation may not always have its intended effect. Agencies targeted by the legislation must be aware of it, understand its demands, develop procedures to insure implementation, and monitor compliance. This paper reports a study of the extent to which several new state statutes impacted policy, procedures, and services for mentally ill offenders in a large urban Texas county. Key informant-interviews, document reviews and surveys of knowledge and opinions were used to assess implementation, understanding, and acceptance of these new statutes. Results were reported to local constituencies, and used to shape recommendations for local action. Following the study, the community formed a council that has made specific improvements in the system.

Empirically identifying factors related to violence risk in corrections.

The authors used structural modeling to predict institutional aggression among male mentally ill offenders using the predictors of anger, antisocial personality style, current violent offense, ethnicity, and impulsivity. Measures included the Barratt Impulsiveness Scale, the Buss-Perry Aggression Questionnaire, the Personality Assessment Inventory, age, ethnicity, current violent offense, victim injury from current offense, and institutional incidents of physical and verbal aggression. The model fit the data, and accounted for 94% and 87% of the variance of physical and verbal aggression, respectively. Results indicated anger, antisocial personality style, and impulsivity are stronger predictors of institutional aggression than are ethnicity and current violent offense; anger was the best predictor. Results suggest dynamic variables such as anger can be targeted for clinical intervention to reduce institutional violence.

A pilot study of the Personality Assessment Inventory (PAI) in corrections: assessment of malingering, suicide risk, and aggression in male inmates.

Provision of mental health services to correctional populations places considerable demands on clinical staff to provide efficient and effective means to screen patients for severe mental disorders and other emergent conditions that necessitate immediate interventions. Among the highly problematic behaviors found in correctional settings are forms of acting out (e.g., suicide and aggression towards others) and response style (e.g., motivations to malinger). The current study examined the usefulness of the Personality Assessment Inventory (PAI) in assessing problematic behaviors in a corrections-based psychiatric hospital. As evidence of criterion related validity, selected PAI scales were compared to (a) evidence of malingering on the Structured Interview of Reported Symptoms (SIRS), (b) suicidal threats and gestures, and (c) ratings of aggression on the Overt Aggression Scale (OAS). In general, results supported the use of the PAI for the assessment of these problematic behaviors.

A comparison of instrument sensitivity to negative symptom change.

Accurate assessment of negative symptom changes in schizophrenic patients is crucial to determining the efficacy of new treatments. The present study examined the sensitivity to change over the course of hospitalization in negative symptomatology assessed by the Scale for the Assessment of Negative Symptoms (SANS), the Negative Symptom Assessment (NSA), and an expanded version of the Brief Psychiatric Rating Scale (BPRS) in a sample of 60 schizophrenic patients. Symptoms were assessed when the patients were acutely ill and again when they were stabilized. Effect sizes were compared across all three rating scales. The retardation factor of the BPRS had a relatively small effect size (0.32). Effect size for the total NSA was 0.78 and ranged from 0.38 to 0.87 for the SANS. Individual factors had moderate to large effect sizes that ranged from 0.18 to 0.91 for both scales. Separate analyses were performed to calculate effect sizes for a five-factor version of the NSA and to examine only those symptoms specified in DSM-IV (alogia, affective flattening, and avolition). Effect sizes relatively comparable to those found for the entire SANS and NSA scales were found for the separate calculations. Results indicate that the addition of a negative symptom assessment instrument to research protocols increases the ability to detect changes in negative symptoms with substantially fewer subjects than would be required with the BPRS retardation factor alone.