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Smoking cessation after engagement in HIV care in rural Uganda.

ABSTRACT: People living with HIV (PLWH) are more likely to smoke compared to HIV-uninfected counterparts, but little is known about smoking behaviors in sub-Saharan Africa. To address this gap in knowledge, we characterized smoking cessation patterns among people living with HIV (PLWH) compared to HIV-uninfected individuals in rural Uganda. PLWH were at least 40 years of age and on antiretroviral therapy for at least three years, and HIV-uninfected individuals were recruited from the clinical catchment area. Our primary outcome of interest was smoking cessation, which was assessed using an adapted WHO STEPS smoking questionnaire. We fit Cox proportional hazards models to compare time to smoking cessation between PLWH pre-care, PLWH in care, and HIV-uninfected individuals. We found that, compared to HIV-uninfected individuals, PLWH in care were less likely to have ever smoked (40% vs. 49%, p?=?0.04). The combined sample of 267 ever-smokers had a median age of 56 (IQR 49-68), 56% (n?=?150) were male, and 26% (n?=?70) were current smokers. In time-to-event analyses, HIV-uninfected individuals and PLWH prior to clinic enrollment ceased smoking at similar rates (HR 0.8, 95% CI 0.5-1.2). However, after enrolling in HIV care, PLWH had a hazard of smoking cessation over twice that of HIV-uninfected individuals and three times that of PLWH prior to enrollment (HR 2.4, 95% CI 1.3-4.6, p?=?0.005 and HR 3.0, 95% CI 1.6-5.5, p?=?0.001, respectively). In summary, we observed high rates of smoking cessation among PLWH after engagement in HIV care in rural Uganda. While we hypothesize that greater access to primary care services and health counseling might contribute, future studies should better investigate the mechanism of this association.

SUBMITTER: Mitton JA

PROVIDER: S-EPMC6258063 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature

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Smoking cessation after engagement in HIV care in rural Uganda.

Mitton Julian A JA North Crystal M CM Muyanja Daniel D Okello Samson S Vořechovská Dagmar D Kakuhikire Bernard B Tsai Alexander C AC Siedner Mark J MJ

AIDS care 20180607 12

People living with HIV (PLWH) are more likely to smoke compared to HIV-uninfected counterparts, but little is known about smoking behaviors in sub-Saharan Africa. To address this gap in knowledge, we characterized smoking cessation patterns among people living with HIV (PLWH) compared to HIV-uninfected individuals in rural Uganda. PLWH were at least 40 years of age and on antiretroviral therapy for at least three years, and HIV-uninfected individuals were recruited from the clinical catchment ar ...[more]

PMID: 29879856

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Project description:BackgroundAntiretroviral therapy (ART) assures major gains in health outcomes among people living with HIV, however, this benefit may not be realized by all due to care interruptions. Mobile populations comprise a subgroup that is likely to have sub-optimal care engagement, resulting in discontinuation of ART. We sought to evaluate the barriers to care engagement among highly mobile individuals living with HIV and explore options aimed at improving engagement in care for this group.MethodsQualitative in-depth interviews were conducted in 2020 among a purposive sample of twelve persons living with HIV and eight health care providers in western Kenya, within a mixed methods study of mobility in communities participating in the SEARCH trial (NCT01864603). We explored the barriers to care engagement among mobile individuals living with HIV and explored different options aimed at enhancing care engagement. These included options such as a coded card containing treatment details, alternative drug packaging to conceal drug identity, longer refills to cover travel period, wrist bands with data storage capability to enable data transfer and "warm handoff" by providers to new clinics upon transfer. Data were inductively analyzed to understand the barriers and acceptability of potential interventions to address them.ResultsStigma and lack of disclosure, rigid work schedules, and unpredictability of travel were major barriers to care engagement for highly mobile individuals living with HIV. Additionally, lack of flexibility in clinic schedules and poor provider attitude were identified as health-system-associated barriers to care engagement. Options that enhance flexibility, convenience and access to care were viewed as the most effective means of addressing the barriers to care by both patients and providers. The most preferred option was a coded card with treatment details followed by alternative drug packaging to conceal drug identity due to stigma and longer refills to cover travel periods.ConclusionHighly mobile individuals living with HIV desire responsive, flexible, convenient and patient-centered care delivery models to enhance care engagement. They embraced simple health delivery improvements such as coded cards, alternative drug packaging and longer refills to address challenges of mobility.

Project description:BackgroundSocial media offer a great opportunity to deliver smoking cessation treatment to young adults, but previous online and social media interventions targeting health behavior change have struggled with low participant engagement. We examined engagement generated by content based on the Transtheoretical Model of Behavior Change (TTM) in a motivationally tailored smoking cessation intervention on Facebook.ObjectiveThis study aimed to identify which intervention content based on the TTM (Decisional Balance and 10 processes of change) generated the highest engagement among participants in pre-action stages of change (Precontemplation, Contemplation, and Preparation).MethodsParticipants (N=79, 20% female, mean age 20.8) were assessed for readiness to quit smoking and assigned to one of 7 secret Facebook groups tailored to their stage of change. Daily postings to the groups based on TTM Decisional Balance and the 10 processes of change were made by research staff over 3 months. Engagement was operationalized as the number of participant comments to each post. TTM content-based predictors of number of comments were analyzed and stratified by baseline stage of change, using negative binomial regression analyses with and without zero inflation.ResultsA total of 512 TTM-based posts generated 630 individual comments. In Precontemplation and Contemplation groups, Decisional Balance posts generated above average engagement (P=.01 and P<.001). In Contemplation groups, posts based on the TTM processes Dramatic Relief and Self-Liberation resulted in below average engagement (P=.01 and P=.005). In Preparation groups, posts based on Consciousness Raising generated above average engagement (P=.009). Participant engagement decreased over time and differed between groups within Precontemplation and Contemplation stages, but was independent of day of the week and time of day the content was posted to the groups. No participant baseline characteristics significantly predicted engagement.ConclusionsParticipants not ready to quit in the next 30 days (in Precontemplation or Contemplation) engaged most when prompted to think about the pros and cons of behavior change, while those in the Preparation stage engaged most when posts increased awareness about smoking and smoking cessation. Findings support tailoring intervention content to readiness to quit and suggest intervention components that may be most effective in generating high participant engagement on social media.

Project description:BackgroundPatient engagement is effective in promoting adherence to HIV care. In an effort to promote patient-centered care, we implemented an enhanced patient care (EPC) intervention that addresses a combination of system-level barriers including provider training, continuity of clinician-patient relationship, enhanced treatment dialogue and better clinic scheduling. We describe the initial implementation of the EPC intervention in a rural HIV clinic in Kenya, and the factors that facilitated its implementation.MethodsThe intervention occurred in one of the rural Academic Model Providing Healthcare (AMPATHplus) health facilities in Busia County in the western region of Kenya. Both qualitative and quantitative data were collected through training and meeting proceedings/minutes, a patient tracking tool, treatment dialogue and a peer confirmation tool. Qualitative data were coded and emerging themes on the implementation and adaptation of the intervention were developed. Descriptive analysis including percentages and means were performed on the quantitative data.ResultsOur analysis identified four key factors that facilitated the implementation of this intervention. (1) The smooth integration of the intervention as part of care that was facilitated by provider training, biweekly meetings between the research and clinical team and having an intervention that promotes the health facility agenda. (2) Commitment of stakeholders including providers and patients to the intervention. (3) The adaptability of the intervention to the existing context while still maintaining fidelity to the intervention. (4) Embedding the intervention in a facility with adequate infrastructure to support its implementation.ConclusionsThis analysis demonstrates the value of using mixed methods approaches to study the implementation of an intervention. Our findings emphasize how critical local support, local infrastructure, and effective communication are to adapting a new intervention in a clinical care program.

Project description:BackgroundGamification in smoking cessation apps has been found to improve cognitive outcomes associated with higher odds of quitting. Although some research has shown that gamification can also positively impact behavioral outcomes such as smoking cessation, studies have largely focused on physical activity and mental health. Only a few studies have explored the effects of gamification on smoking cessation outcomes, of which the majority have adopted qualitative methodologies and/or assessed engagement with apps using self-report.ObjectiveThis study aimed to explore levels of user engagement with gamification features in a smoking cessation app via in-app metrics. Specifically, the objective of this paper was to investigate whether higher engagement with gamification features is associated with the likelihood of quitting in the short term.MethodsData from a larger online study that recruited smokers seeking to quit were analyzed to address the objectives presented in this paper. The study took place between June 2019 and July 2020, and participants were primarily recruited via social media posts. Participants who met the eligibility criteria used 1 of 2 mobile apps for smoking cessation. In-app metrics shared by the developer of one of the smoking cessation apps, called Kwit, were used to assess engagement with gamification features. Out of 58 participants who used the Kwit app, 14 were excluded due to missing data or low engagement with the app (ie, not opening the app once a week). For the remaining 44 participants, mean (SD) values were calculated for engagement with the app using in-app metrics. A logistic regression model was used to investigate the association between engagement with gamification and 7-day smoking abstinence.ResultsIn total, data from 44 participants who used the Kwit app were analyzed. The majority of participants were male, married, and employed. Almost 30% (n=13) of participants self-reported successful 7-day abstinence at the end of the study. On average, the Kwit app was opened almost 31 (SD 39) times during the 4-week study period, with the diary feature used the most often (mean 22.8, SD 49.3). Moreover, it was found that each additional level unlocked was associated with approximately 22% higher odds of achieving 7-day abstinence after controlling for other factors such as age and gender (odds ratio 1.22, 95% CI 1.01-1.47).ConclusionsThis study highlights the likely positive effects of certain gamification elements such as levels and achievements on short-term smoking abstinence. Although more robust research with a larger sample size is needed, this research highlights the important role that gamification features integrated into mobile apps can play in facilitating and supporting health behavior change.

Project description:ImportanceThe National Lung Screening Trial (NLST) found a reduction in lung cancer mortality among participants screened with low-dose computed tomography vs chest radiography. In February 2015, Medicare announced its decision to cover annual lung screening for patients with a significant smoking history. These guidelines promote smoking cessation treatment as an adjunct to screening, but the frequency and effectiveness of clinician-delivered smoking cessation interventions delivered after lung screening are unknown.ObjectiveTo determine the association between the reported clinician-delivered 5As (ask, advise, assess, assist [talk about quitting or recommend stop-smoking medications or recommend counseling], and arrange follow-up) after lung screening and smoking behavior changes.Design, setting, and participantsA matched case-control study (cases were quitters and controls were continued smokers) of 3336 NLST participants who were smokers at enrollment examined participants' rates and patterns of 5A delivery after a lung screen and reported smoking cessation behaviors.Main outcomes and measuresPrevalence of the clinician-delivered 5As and associated smoking cessation after lung screening.ResultsDelivery of the 5As 1 year after screening were as follows: ask, 77.2%; advise, 75.6%; assess, 63.4%; assist, 56.4%; and arrange follow-up, 10.4%. Receipt of ask, advise, and assess was not significantly associated with quitting in multivariate models that adjusted for sociodemographic characteristics, medical history, screening results, nicotine dependence, and motivation to quit. Assist was associated with a 40% increase in the odds of quitting (odds ratio, 1.40; 95% CI, 1.21-1.63), and arrange was associated with a 46% increase in the odds of quitting (odds ratio, 1.46; 95% CI, 1.19-1.79).Conclusions and relevanceAssist and arrange follow-up delivered by primary care providers to smokers who were participating in the NLST were associated with increased quitting; less intensive interventions (ask, advise, and assess) were not. However, rates of assist and arrange follow-up were relatively low. Our findings confirm the need for and benefit of clinicians taking more active intervention steps in helping patients who undergo screening to quit smoking.

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Smoking cessation after engagement in HIV care in rural Uganda.

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Smoking cessation after engagement in HIV care in rural Uganda.

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