Terri Jennings

Predicting protected sexual behaviour using the Information-Motivation-Behaviour skills model among adolescent substance abusers in court-ordered treatment

The Information-Motivation-Behavioural skills model (Fisher & Fisher, 1992) was used to predict condom use among adolescents residing in a court-ordered inpatient substance abuse treatment programme ( N = 271; 181 male and 90 female, primarily of minority ethnicity). In a predictive structural equation model, demographic variables, HIV transmission knowledge, and motivational variables of pro-condom norms and attitudes, and perceived susceptibility predicted condom use skills and condom use self-efficacy. Along with the other variables in the model, condom skills and condom self-efficacy were hypothesized to predict condom use over a three-month period. It was found that condom skills were predicted by greater age, pro-condom attitudes and greater perceived susceptibility. Condom self-efficacy was predicted by gender, pro-condom norms and condom attitudes. Condom use was significantly predicted by pro-condom norms and stronger condom self-efficacy. Both condom skills and knowledge did not significantly predict condom use. Significant demographic predictors of condom use included greater age and gender. Results suggest that changing personal attitudes about condoms and reinforcing the power of pro-condom beliefs among significant others will encourage condom use among adolescents who are at high risk for HIV and other STDs.

Negative Affect and HIV Risk in Alcohol and Other Drug (AOD) Abusing Adolescent Offenders

ABSTRACT Various depressive symptoms have been linked to elevated levels of HIV risk across diverse adult populations in multiple studies. However, this link has been examined in a much more limited manner among adolescents, despite an exceedingly heightened risk of both HIV and negative affect in this age group. To address the current lack of clinically pertinent knowledge in this area, we analyzed baseline data from 256 male and 107 female inner city, culturally diverse adolescent offenders. Relatively “high” and “low” negative affect subgroups were formed by conducting a median split on scores from the well-validated depressive affect scale of the Millon Adolescent Clinical Inventory (MACI). Compared to the low negative affect subgroup, the high negative affect participants reported significantly more sexual partners, unprotected sex, and increased susceptibility to HIV, as well as more marijuana, cocaine, and alcohol use (all ps <.05). Although demonstrating better condom skills, negative affect participants reported less favorable attitudes towards using condoms, less knowledge about HIV transmission, and lower sexual self-efficacy than non-depressive participants. Symptoms of negative affect are therefore of particular concern for adolescents, who are at risk not only for generally acknowledged difficulties such as suicide, but also for multiple HIV risk factors. The theoretical and applied implications of these findings will be discussed.

Audio-CASI vs interview method of administration of an HIV/STD risk of exposure screening instrument for teenagers

Previous research conducted to examine the implications of using audio-computerized (A-CASI) procedures to gather sensitive sexual behaviour data has provided mixed results. The purpose of this study was to assess differences in the disclosure of HIV risk behaviours between subjects interviewed face to face and subjects interviewed using A-CASI procedures. An HIV/STD risk of exposure screening instrument was administered to 265 male and female adolescents in the juvenile justice system. T-test analyses revealed that adolescents assessed using A-CASI procedures endorsed fewer items on the HIV/STD screen than those interviewed by an assessor. In addition, those in the A-CASI group endorsed fewer items with explicit sexual or drug content and fewer subtle items. Results of this study suggest that A-CASI may not be suitable for use among adolescents in the juvenile justice system when assessing undesirable and/or illegal behaviours.

Short and Long-Term Outcomes from a Multisession Diabetes Education Program Targeting Low-Income Minority Patients: A Six-Month Follow Up

BACKGROUND A diabetes self-management education (DSME) program was offered to patients at a primary care clinic serving low-income people. OBJECTIVES The purpose of the analyses presented here was to understand the feasibility of the program and effectiveness of the intervention. METHODS The program was facilitated by a nurse and licensed dietician. Data were collected at baseline, after each class, and after 6 months. Patients were interviewed to identify diabetes self-care behaviors before the first class, after the fourth class, and at 6 months. Knowledge related to content areas was measured before and after each class. Glycosylated hemoglobin (HbA(1c)), blood pressure, weight, and body mass index (BMI) were collected at baseline and after 6 months. Medical records were reviewed for LDL levels, co-morbidity, and diabetes management. Frequencies, χ(2) and t tests, and repeated measures t tests were used to analyze data. RESULTS Patients were mostly non-Hispanic black or Hispanic (93.1%); mean BMI was 34.89 kg/m(2). About one-half (41.95%) completed the program. Significant improvements were observed for knowledge related to each of the 4 content areas: diet (P < 0.001), diabetes management (P = 0.003), monitoring blood glucose (P < 0.001), and preventing complications (P = 0.001). Among long-term outcomes, mean HbA(1c) was significantly reduced (0.82%), from 8.60% to 7.78% (P = 0.007), with 26.67% of patients reducing HbA(1c) from ≥7.0% at baseline to <7% at follow up (P < 0.001). Patients demonstrated a significant improvement in readiness to improve dietary behaviors (P = 0.016). CONCLUSIONS Outcomes suggested that minority patients with a high risk for poor diabetes outcomes might be retained in a multisession DSME program and benefit from increasing knowledge of diabetes content. Further evaluation is necessary to determine the cost-effectiveness of this intervention.

Personality, Stress, and Social Support in HIV Risk Prediction

This study evaluated whether baseline levels of avoidant, antisocial, and dependent personality features and perceived stress and social support predict 12 month follow-up levels of unprotected sex in 141 male veterans undergoing alcohol and other drug (AOD) abuse treatment that included an HIV transmission risk reduction (HIV-TRR) component. Because our focus is on psychosocial predictors of level of unprotected sex after completion of AOD/HIV-TRR treatment, we first controlled for potential confounds including (a) intake level of unprotected sex and (b) both intake and follow-up AOD abuse values. Further, because associations between both stress and social support and level of risk behavior may be attributable to underlying pathological personality factors, we controlled for these factors in analyses of stress and support effects. Sequential regression was employed to determine if personality and then stress and social support characteristics improved prediction of unprotected sex after entering covariates. Pretreatment levels of unprotected sex and dependent personality significantly predicted unprotected sex during follow-up. Avoidant personality was associated with reduced risk linked with lower levels of sexual involvement. Perceived stress and social support did not significantly predict level of unprotected sex during follow-up. We found significant decreases in levels of alcohol, marijuana, and cocaine and in the number reporting IDU. Implications for developing personality-sensitive HIV prevention interventions are discussed.

Feasibility of an Internet-Based Intervention for Improving Diabetes Outcomes Among Low-Income Patients With a High Risk for Poor Diabetes Outcomes Followed in a Community Clinic

Purpose The purpose of this study was to determine the feasibility of an Internet-based intervention, targeting very low-income minority patients with a high risk for not engaging in diabetes self-management, to increase diabetes self-management and improve diabetes outcomes. Methods Patients with diabetes followed in a community clinic were enrolled in the 13-month trial. Participants were requested to test blood sugar and upload glucometer data every day and login to the program at least once every second day. Feasibility data included process measures; diabetes outcomes consisted of changes from baseline to follow-up for levels of glycosylated hemoglobin (A1C), LDL, HDL, triglyceride and total cholesterol, and health-related quality of life using the SF-36. Results Only 22% of participants had health insurance. Participants had an average of 4.39 comorbidities and 7.06 prescriptions. Participants uploaded glucometer data at least twice each week and logged into the application at least once each week. Participants demonstrated reductions statistically or clinically important changes in A1C, LDL cholesterol, total cholesterol, and triglyceride levels. Participants engaging in more frequent chat messages and interactive activities demonstrated greater reductions in LDL cholesterol levels; however, engaging in more frequent chat messages also was associated with increased triglyceride levels. Participants rated fewer role limitations from physical health problems at follow-up. Conclusions The intervention produced good outcomes; however, an alternative platform may be a less expensive approach.

Clinical outcomes and incremental costs from a medication adherence pilot intervention targeting low-income patients with diabetes at risk of cost-related medication nonadherence.

PURPOSE The extent to which reducing cost-related barriers affects diabetes outcomes and medication adherence among uninsured patients is not known. The purpose of these analyses was to understand the clinical impact and cost considerations of a prescription assistance program targeting low-income, minority patients with diabetes and at high risk for cost-related medication nonadherence. METHODS Patients received diabetes medications without copayments for 12 months. Change in diabetes control was calculated by using glycosylated hemoglobin (HbA1c) level at follow-up compared with baseline. Clinical data were collected from the electronic health record. Medication adherence for diabetes medications was estimated by using proportion of days covered (PDC). Incremental acquisition and per-patient costs, based on actual hospital medication costs, were calculated for different baseline HbA1c levels. FINDINGS Patients with baseline HbA1c levels ≥7%, ≥8%, and ≥9% experienced mean HbA1c reductions of 0.82% (P = 0.008), 1.02% (P = 0.010), and 1.47% (P = 0.010), respectively, during the 12-month period. The average PDC was 70.55%; 45.24% had a PDC ≥80%, indicating an adequate level of medication adherence. Medication adherence ≥80% was associated with ethnicity (P = 0.015), whereas mean PDC was associated with number of diabetes medication classes used (P = 0.031). Acquisition cost for 1242 prescriptions filled by 103 patients was

Participation in and Impact of a Depression Care Management Program Targeting Low-Income Minority Patients in an Urban Community-Based Clinic

13,365.82, representing per-patient costs of

Prevalence of Undetected High Risk for Type 2 Diabetes Mellitus in Primary Care: A South Florida Primary Care Practice- Based Research Network Study*

132.39; however, as baseline targets increased, acquisition costs decreased and per-patient costs increased from

Impulsivity and HIV Risk Among Adjudicated Alcohol- and Other Drug-Abusing Adolescent Offenders

10,682.59 and