Adherence to and effectiveness of highly active antiretroviral treatment for HIV infection: assessing the bidirectional relationship

Screening for Traumatic Experiences and Mental Health Distress Among Women in HIV Care in Cape Town, South Africa

Traumatic events can negatively affect clinical outcomes among HIV positive women, particularly when those events result in ongoing psychological distress. Consequently, there have been calls to integrate screening and treatment of traumatic experiences and associated mental health disorders into HIV care. In South Africa, screening for traumatic experiences and mental health is not a routine part of HIV care. The goal of this study was to examine the prevalence of traumatic experiences and mental health distress among women in an HIV clinic in Cape Town, South Africa, and to explore the acceptability of routine screening in this setting. Seventy HIV positive women were screened following referral from health care workers in the clinic. Among the participants, 51% reported a history of sexual abuse and 75% reported physical intimate partner violence (physical IPV). Among all participants, 36% met screening criteria for depression; among those with traumatic experiences (n = 57), 70% met screening criteria for posttraumatic stress disorder (PTSD). Compared with reporting no sexual abuse or physical IPV, having experienced both sexual abuse and physical IPV was significantly associated with higher odds of depression, while reporting either sexual abuse or physical IPV individually was not significantly associated with increased odds of depression. Among women reporting sexual abuse, 61% were disclosing their experience for the first time during the screening; 31% of women with physical IPV experience were disclosing for the first time. Overall, 98% of participants thought screening should be routine and extended to all women as part of clinic care. Screening women for sexual abuse and physical IPV may be an important component of ensuring HIV care engagement.

Evaluating patient preference and satisfaction for human immunodeficiency virus therapy in France

OBJECTIVES

The objectives were 1) to elicit relative preferences for attributes of antiretroviral therapies (ART) in people living with HIV (PLWH) and 2) to explore satisfaction and adherence with current ART.

PATIENTS AND METHODS

We conducted a multicenter cross-sectional study, consecutively enrolling PLWH receiving an ART. The quantitative part estimated the strength of preference for different attributes using an online discrete choice experiment (DCE). DCE data were analyzed using a mixed logit regression model. Qualitative data were collected through individual interviews. A preliminary coding framework was developed which was then further refined and applied during thematic analysis of factors influencing satisfaction and adherence.

RESULTS

A total of 101 PLWH took part in the quantitative part and 31 in the qualitative part. Over 90% had an undetectable viral load. Quantitative data revealed a strong preference for a treatment with limited drug-drug interactions, diarrhea and long-term health problems (P<0.0001), and that did not need to be taken on an empty stomach (P<0.0001). Patients also preferred to avoid problems associated with treatment failure (P<0.0001) or one that left them with a higher viral load after the first weeks of treatment (P=0.044). Differences in CD4 cell count, and pills that must be taken with food were not significant drivers of treatment choice. The strength of these attributes was reflected in the qualitative data, highlighting the importance patients place on treatment efficacy, and also suggesting that some of these attributes may impact adherence. Many factors influencing adherence and satisfaction with treatment were identified, including pill size, worry about sexual transmission and impact on social life.

CONCLUSION

Most of the attributes included in this survey were important to participants when choosing an ART, in particular those related to quality of life, and these should be taken into account in order to optimize adherence and satisfaction.

Evaluating the utility of provider-recorded clinical status in the medical records of HIV-positive adults in a limited-resource setting

Provider-reported summaries of clinical status may assist with clinical management of HIV in resource poor settings if they reflect underlying biological processes associated with HIV disease progression. However, their ability to do so is rarely evaluated. Therefore, we aimed to assess the relationship between a provider-recorded summary of clinical status and indicators of HIV progression. Data were abstracted from 201 randomly selected medical records at a large HIV clinic in the Dominican Republic. Multivariable logistic regressions were used to examine the relationship between provider-assigned clinical status and demographic (gender, age, nationality, education) and clinical factors (reported medication adherence, CD4 cell count, viral load). The mean age of patients was 41.2 (SD = ±10.9) years and most were female (n = 115, 57%). None of the examined characteristics were significantly associated with provider-recorded clinical status. Higher CD4 cell counts were more likely for females (OR = 2.2 CI: 1.12-4.31) and less likely for those with higher viral loads (OR = 0.33 CI: 0.15-0.72). Poorer adherence and lower CD4 cell counts were significantly associated with higher viral loads (OR = 4.46 CI: 1.11-20.29 and 6.84 CI: 1.47-37.23, respectively). Clinics using provider-reported summaries of clinical status should evaluate the performance of these assessments to ensure they are associated with biologic indicators of disease progression.

Adjustment for Variable Adherence Under Hierarchical Structure: Instrumental Variable Modeling Through Compound Residual Inclusion

BACKGROUND

Variable adherence to assigned conditions is common in randomized clinical trials.

OBJECTIVES

A generalized modeling framework under longitudinal data structures is proposed for regression estimation of the causal effect of variable adherence on outcome, with emphasis upon adjustment for unobserved confounders.

RESEARCH DESIGN

A nonlinear, nonparametric random-coefficients modeling approach is described. Estimates of local average treatment effects among compliers can be obtained simultaneously for all assigned conditions to which participants are randomly assigned within the trial. Two techniques are combined to address time-varying and time-invariant unobserved confounding-residual inclusion and nonparametric random-coefficients modeling. Together these yield a compound, 2-stage residual inclusion, instrumental variables model.

SUBJECTS

The proposed method is illustrated through a set of simulation studies to examine small-sample bias and in application to neurocognitive outcome data from a large, multicenter, randomized clinical trial in sleep medicine for continuous positive airway pressure treatment of obstructive sleep apnea.

RESULTS

Results of simulation studies indicate that, relative to a standard comparator, the proposed estimator reduces bias in estimates of the causal effect of variable adherence. Bias reductions were greatest at higher levels of residual variance and when confounders were time varying.

CONCLUSIONS

The proposed modeling framework is flexible in the distributions of outcomes that can be modeled, applicable to repeated measures longitudinal structures, and provides effective reduction of bias due to unobserved confounders.