High smoking prevalence among HIV-positive individuals: a systematic review and meta-analysis

Optimizing the Implementation of Tobacco Treatment for People with HIV: A Pilot Study

People with HIV (PWH) have higher rates of tobacco use compared to their societal counterparts and are disproportionately affected by tobacco-related morbidity and mortality. A needs assessment was conducted to assess provider beliefs and opinions on tobacco treatment barriers and treatment approaches. The results highlighted a disconnect between the known importance of quitting smoking and barriers in linking patients to treatment, such as lack of patient interest and other patient issues being a higher priority. Using this assessment data, a treatment delivery approach, Proactive Outreach with Medication Opt-out for Tobacco Treatment Engagement (PrOMOTE), was devised and piloted. PrOMOTE consisted of an outpatient clinical pharmacist trained in tobacco treatment proactively contacting patients for counseling and to prescribe smoking cessation pharmacotherapy (varenicline or dual nicotine replacement therapy (NRT)) using an opt-out approach. The pilot was conducted with 10 PWH and patient reach and opt-out rates were evaluated. Of the 10 patients contacted, 7 were reached and none opted out of the pharmacotherapy prescription (varenicline = 6; NRT = 1). Providers know the importance of smoking cessation for PWH but encounter several barriers to implementing treatment. Using PrOMOTE methods to deliver tobacco treatment increased the reach and pharmacotherapy acceptance rate of PWH who smoke.

Tobacco Use among HIV-Positive and HIV-Negative Women and Men in Zambia-Demographic and Health Survey, 2018

Country-specific estimates of tobacco use among people living with HIV (PLWH) are lacking for much of sub-Saharan Africa. We aim to evaluate the association between the HIV status and tobacco product use status, frequency, and intensity, using nationally representative data from Zambia. We analyzed data from the 2018 Demographic and Health Survey conducted in Zambia among women aged 15–49 years and men aged 15–59 years. We performed logistic regression to assess the associations of HIV status, selected sociodemographic, and other characteristics with indicators of tobacco use (i.e., status, frequency, and intensity). Among women, 14.3% tested positive for HIV and 2.7% reported current smoking or tobacco use; women living with HIV were more likely to report currently smoking or using tobacco than women living without HIV (4.4% vs. 2.4%; aPR: 1.46). Among men, 8.4% tested positive for HIV and 19.5% reported current smoking; men living with HIV were more likely than men living without HIV to report current smoking (27.8% vs. 18.7%; aPR: 1.22). Several sociodemographic characteristics were associated with tobacco use, including age, residence (urban/rural), education level, employment status, and wealth index. The frequency and intensity of smoking among men who currently smoked did not differ by HIV status. Tobacco use was more likely in PLWH than those without HIV in Zambia. Our findings highlight the need to encourage and support tobacco cessation among PLWH, possibly by offering cessation services at existing intersections with health care or integrating cessation support into mHealth and other alternative models of care.

Optimizing tobacco treatment delivery for people with HIV: trial protocol for a randomized controlled trial

BACKGROUND

With advances in antiretroviral therapy, people with HIV (PWH) are living longer and are less likely to die from AIDS-related complications. Yet, prior research has shown that smoking is often not addressed in the context of HIV care, and few individuals are offered cessation treatment. Optimizing tobacco treatment delivery for PWH may increase engagement with evidence-based treatments and successful quit attempts.

METHODS

The current study is a type 1 hybrid effectiveness-implementation trial to evaluate the impact of a proactive, opt-out tobacco treatment intervention on cessation outcomes and advance understanding of key barriers and facilitators of implementation processes. A total of 230 PWH who smoke will be recruited from an infectious diseases clinic at an academic medical center and will be randomized to receive (1) treatment as usual (TAU) or (2) Proactive Outreach with Medication Opt-out for Tobacco Treatment Engagement (PrOMOTE). Primary outcomes include: biochemically verified 7-day point prevalence abstinence (PPA) rates, continuous abstinence (Weeks 9-12), and the number of 24-hour quit attempts at the end of study treatment (Week 12). Secondary outcomes include: participant reach (proportion reached out of contact attempts), implementation fidelity (including number of prescriptions written), participant adherence to prescribed pharmacotherapy, acceptability (participant and provider satisfaction with intervention delivery and content), and perceived barriers.

DISCUSSION

This study will examine a novel approach to optimizing tobacco treatment delivery for PWH. Integrating effectiveness and implementation results will help define best practices for engaging PWH with evidence-based tobacco treatment interventions. The intervention is low-cost, has the potential to be highly scalable, and could be translatable to other ambulatory HIV clinic settings.

TRIAL REGISTRATION

ClinicalTrials.gov: NCT05019495 (August 24, 2021).

Worldwide relative smoking prevalence among people living with and without HIV

OBJECTIVE AND DESIGN

People living with HIV (PLH) suffer disproportionately from the chronic diseases exacerbated by smoking tobacco. We performed a systematic review and meta-analysis to establish the relative prevalence of smoking among PLH.

METHODS

We included observational studies reporting current smoking rates among PLH and comparators without HIV. We searched Medline, EMBASE, LILACS and SciELO from inception to 31 August 2019. We excluded studies that recruited participants with smoking related illness. We used a random effects model to estimate the odds ratio for current smoking in PLH and people without HIV. We used the Newcastle--Ottawa scale to assess methodological bias. We performed subgroup analysis based on sex and WHO region. We quantified heterogeneity with meta-regression and predictive distributions. PROSPERO registration:CRD42016052608.

RESULTS

We identified 6116 studies and included 37. Of 111 258 PLH compared with 10 961 217 HIV-negative participants pooled odds of smoking were 1.64 [(95% confidence interval, 95% CI: 1.45-1.85) (95% prediction interval: 0.66-4.10, I2 = 98.1%)]. Odds for men and women living with HIV were 1.68 [(95% CI: 1.44-1.95) (95% prediction interval: 0.71-3.98, I2 = 91.1%)] and 2.16 [(95% CI: 1.77-2.63) (95% prediction interval: 0.92-5.07, I2 = 81.7%)] respectively.

CONCLUSION

PLH are more likely to be smokers than people without HIV. This finding was true in subgroup analyses of men, women and in four of five WHO regions from which data were available. Meta-regression did not explain heterogeneity, which we attribute to the diversity of PLH populations worldwide. Smoking is a barrier to PLH achieving parity in life expectancy and an important covariate in studies of HIV-associated multimorbidity.

Global burden of active smoking among people living with HIV on antiretroviral therapy: a systematic review and meta-analysis

BACKGROUND

Although the high burden of both active smoking and human immunodeficiency virus (HIV) is clearly known, the relationship between them is still not well characterized. Therefore, we estimated the global prevalence of active smoking in people living with HIV (PLHIV) on antiretroviral therapy (ART) and investigated the association between exposure to active smoking and risk for suboptimal adherence to ART. Main text: We searched PubMed, Embase, and Web of Science to identify articles published until September 19, 2019. Eligible studies reported the prevalence of active smoking in PLHIV on ART or investigated the association between active smoking and ART adherence; or enough data to compute these estimates. We used a random-effects model to pool data and quantified heterogeneity (I2). The global prevalence of active smoking was 36.1% (95% CI: 33.7-37.2; 329 prevalence data; 462 104 participants) with substantial heterogeneity. The prevalence increased with level of country income; from 10.1% (95% CI: 6.8-14.1) in low-income to 45.2% (95% CI: 42.7-47.7) in high-income countries; P < 0.0001. With regards to the Joint United Nations Programme on HIV/AIDS (UNAIDS) regions, the prevalence was higher in West and Central Europe and North America 45.4% (42.7-48.1) and lowest in the two UNAIDS regions of sub-Saharan Africa: Eastern and Southern Africa 10.7% (95% CI: 7.8-14.0) and West and Central Africa 4.4% (2.9-6.3); P < 0.0001. Globally, we estimated that there were 4 110 669 PLHIV on ART who were active smokers, among which the highest number was from Eastern and Southern Africa (35.9%) followed by Asia and the Pacific (25.9%). Active smoking was significantly associated with suboptimal ART adherence: pooled odds ratio 1.57 (95% CI: 1.37-1.80; I2 = 56.8%; 19 studies; 48 450 participants); even after considering adjusted estimates: 1.67 (95% CI: 1.39-2.01; I2 = 53.0%; 14 studies).

CONCLUSIONS

This study suggests a high prevalence of active smoking in PLHIV on ART and an association between active smoking and ART suboptimal adherence. As such, healthcare providers and policy makers should focus on adopting and implementing tobacco harm reduction strategies in HIV care, especially in sub-Saharan Africa known as epicenter of HIV pandemic with highest number of active tobacco smoking among PLHIV on ART.