Predictors of linkage to hepatitis C virus care among people living with HIV with hepatitis C infection and the impact of loss to HIV follow-up.

Objective: Half of the people living with HIV (PLWH) with hepatitis C virus (HCV) remain untreated for HCV. We examined predictors of HCV linkage to care among PLWH and the impact of HIV lost to care. Design and methods: We conducted a retrospective review of PLWH/HCV from our HIV clinics between 2014 and 2017, and examined predictors of HCV linkage to care. We used the Kaplan-Meier method to estimate the probability of HIV retention and HCV linkage over time. Results: Of 615 PLWH/HCV, 34% linked to HCV care and 21% were cured. Higher odds of linkage to HCV care were among blacks (adjusted odds ratio [aOR]: 2.95, 95% confidence interval [CI]: 1.59, 5.47), prior injection drug users (IDUs; aOR: 2.89, 95% CI: 1.39, 6.01), Medicare (aOR: 3.09, 95% CI: 1.56, 6.11), and cirrhotics (aOR: 2.80, 95% CI: 1.52, 5.14). Reduced odds for linkage were in active IDU (aOR: 0.16, 95% CI: 0.05, 0.45) and those seen by an advanced practice provider (aOR: 0.53, 95% CI: 0.30, 0.92). The main reason for failure to link to HCV care was lost to HIV care. At 3 years, the overall probability of being retained in HIV care was 53%; among those who had an HCV evaluation visit, it was 75% vs. 41% with no HCV evaluation visit. Accounting for loss to follow-up, PLWH/HCV had a 65% probability of having an HCV evaluation at 3 years.

Substance use and mental health burden in head and neck and other cancer survivors: A National Health Interview Survey analysis.

BACKGROUND: Tobacco dependence, alcohol abuse, depression, distress, and other adverse patient-level influences are common in head and neck cancer (HNC) survivors. Their interrelatedness and precise burden in comparison with survivors of other cancers are poorly understood. METHODS: National Health Interview Survey data from 1997 to 2016 were pooled. The prevalence of adverse patient-level influences among HNC survivors and matched survivors of other cancers were compared using descriptive statistics. Multivariable logistic regressions evaluating covariate associations with the primary study outcomes were performed. These included 1) current cigarette smoking and/or heavy alcohol use (>14 drinks per week) and 2) high mental health burden (severe psychological distress [Kessler Index ≥ 13] and/or frequent depressive/anxiety symptoms). RESULTS: In all, 918 HNC survivors and 3672 matched survivors of other cancers were identified. Compared with other cancer survivors, more HNC survivors were current smokers and/or heavy drinkers (24.6% [95% CI, 21.5%-27.7%] vs 18.0% [95% CI, 16.6%-19.4%]) and exhibited a high mental health burden (18.6% [95% CI, 15.7%-21.5%] vs 13.0% [95% CI, 11.7%-14.3%]). In multivariable analyses, 1) a high mental health burden predicted for smoking and/or heavy drinking (odds ratio [OR], 1.4; 95% CI, 1.0-1.9), and 2) current cigarette smoking predicted for a high mental health burden (OR, 1.7; 95% CI, 1.2-2.3). Furthermore, nonpartnered marital status and uninsured/Medicaid insurance status were significantly associated with both cigarette smoking and/or heavy alcohol use (ORs, 1.9 [95% CI, 1.4-2.5] and 1.5 [95% CI, 1.0-2.1], respectively) and a high mental health burden (ORs, 1.4 [95% CI, 1.1 -1.8] and 3.0 [95% CI, 2.2-4.2], respectively). CONCLUSIONS: Stakeholders should allocate greater supportive care resources to HNC survivors. The interdependence of substance abuse, adverse mental health symptoms, and other adverse patient-level influences requires development of novel, multimodal survivorship care interventions.

Factors associated with dependence on smokeless tobacco, Navi Mumbai, India.

OBJECTIVE: Nearly 300 million people in India use some type of tobacco product, with about 60% of those using smokeless tobacco. Smokeless tobacco use has been associated with a number adverse health outcomes in India and across South Asia. METHOD: A cross-sectional study of outpatients at a dental hospital in Navi Mumbai, India was conducted between January and June 2015. Trained interviewers administered a 19-item questionnaire to all patients receiving regular dental care. In addition to demographic information, data about the use of smokeless tobacco was collected. Nicotine dependence was assessed using the six-item Fagerstrom Nicotine Dependence Scale, adapted for smokeless tobacco. RESULTS: Approximately one third of 1,067 respondents (30.55%; N = 326) reported use of smokeless tobacco. Neither use of smokeless tobacco nor nicotine dependence was associated with any demographic variables. High nicotine dependence was associated with a younger age of initiation of smokeless tobacco use (RD = 0.14; 95% CI: 0.03, 0.25) and with frequency of use, with those who reported daily use having an excess risk of high nicotine dependence of 14% (95% CI: 2%, 27%). CONCLUSION: To reduce dependence on smokeless tobacco in India and subsequent adverse health outcomes, interventions should emphasize a combination of policy and public health interventions focused on increasing the age at which a person initially uses smokeless tobacco and decreasing the frequency of use.