Publications

We conducted a longitudinal study of tobacco use among adults initiating antiretroviral therapy (ART) in Mbarara, Uganda where 11 % of men and 3 % of women use tobacco according to the 2011 Demographic and Health Survey. In a prospective cohort, self-reported tobacco use was assessed before starting ART and reassessed every 3-4 months. Plasma cotinine, a nicotine metabolite, was measured in a subset of adults pre-ART to verify self-report. Among 496 subjects, 50 (10 %) reported current tobacco use (20 % of men, 6 % of women). Most (53 %) adults with elevated cotinine levels (>15 ng/mL) reported no tobacco use. By 6 months after ART initiation, 33 % of tobacco users had quit (95 % CI 20-46 %). By 5 years, 64 % quit (95 % CI 47-77 %). Self-reported tobacco use among rural Ugandans starting ART was twice as common as among the local background population and use may be underreported. ART initiation could be an opportunity for tobacco cessation interventions.

PURPOSE OF REVIEW

It is now widely accepted that HIV-infected individuals remain at a higher risk for mortality and age-related morbidities than the general population, but several unresolved issues need to be addressed by the research community in the coming years to further improve the health of HIV-infected individuals in the modern treatment era.

RECENT FINDINGS

Although recent studies have helped to better define the contribution of HIV to life expectancy and morbidity in the modern antiretroviral therapy (ART) era, questions remain about the generalizability of these findings to a future HIV-infected population that is expected to be much older. Furthermore, although a consensus has emerged that the persistent inflammatory state contributes to morbidity and mortality in this setting, the relative contributions of this process, health-related behaviours, comorbidities and medication toxicities remain incompletely understood. Lastly, significant uncertainty remains over the root causes of the persistent inflammatory state, the specific immunologic pathways to target with interventions and the most appropriate biomarkers to use for surrogate outcomes in pilot trials of immune-based interventions.

SUMMARY

Each of these issues will be addressed in this review, highlighting recently published and presented studies that inform the discussion, and recommendations will be made for prioritizing the future research agenda.

New genomic sequencing technologies enable the high-speed analysis of multiple genes simultaneously, including all of those in a person's genome. Sequencing is a prominent example of a "big data" technology because of the massive amount of information it produces and its complexity, diversity, and timeliness. Our objective in this article is to provide a policy primer on sequencing and illustrate how it can affect health care system and policy issues. Toward this end, we developed an easily applied classification of sequencing based on inputs, methods, and outputs. We used it to examine the implications of sequencing for three health care system and policy issues: making care more patient-centered, developing coverage and reimbursement policies, and assessing economic value. We conclude that sequencing has great promise but that policy challenges include how to optimize patient engagement as well as privacy, develop coverage policies that distinguish research from clinical uses and account for bioinformatics costs, and determine the economic value of sequencing through complex economic models that take into account multiple findings and downstream costs.

OBJECTIVE

To determine whether relationship quality is associated with caregiver benefit or burden and how depression influences these associations.

BACKGROUND

Caregivers influence outcomes of patients with heart failure (HF). Relationship quality, caregiver benefit and burden are key factors in the caregiving experience.

METHODS

Nineteen caregivers of HF outpatients completed measures of relationship quality, caregiver benefit, burden and depression. Associations were assessed using Pearson's correlations.

RESULTS

Relationship quality was positively associated with caregiver benefit (r = 0.45, P = 0.05) and negatively associated with burden (r = -0.80, P < 0.0001) and depression (r = -0.77, P = 0.0001). Relationship quality and burden remained associated after controlling for depression.

CONCLUSIONS

In this exploratory study, relationship quality was positively associated with caregiver benefit and negatively associated with burden. Future studies are needed to further understand these key caregiving factors, which may lead to opportunities to help caregivers see benefits and reduce burden.