scholarly journals Delivery and implementation of an algorithm for smoking cessation treatment for people living with HIV and AIDS

AIDS Care ◽  
2019 ◽  
Vol 32 (2) ◽  
pp. 223-229 ◽  
Author(s):  
Karen L. Cropsey ◽  
Madelyne C. Bean ◽  
Louise Haynes ◽  
Matthew J. Carpenter ◽  
Lauren E. Richey
2017 ◽  
Author(s):  
Olalekan A Uthman ◽  
Chidozie U Nduka ◽  
Mustapha Abba ◽  
Rocio Enriquez ◽  
Helena Nordenstedt ◽  
...  

BACKGROUND The prevalence of smoking among people living with HIV (PLHIV) is higher than that reported in the general population, and it is a significant risk factor for noncommunicable diseases in this group. Mobile phone interventions to promote healthier behaviors (mobile health, mHealth) have the potential to reach a large number of people at a low cost. It has been hypothesized that mHealth interventions may not be as effective as face-to-face strategies in achieving smoking cessation, but there is no systematic evidence to support this, especially among PLHIV. OBJECTIVE This study aimed to compare two modes of intervention delivery (mHealth vs face-to-face) for smoking cessation among PLHIV. METHODS Literature on randomized controlled trials (RCTs) investigating effects of mHealth or face-to-face intervention strategies on short-term (4 weeks to <6 months) and long-term (≥6 months) smoking abstinence among PLHIV was sought. We systematically reviewed relevant RCTs and conducted pairwise meta-analyses to estimate relative treatment effects of mHealth and face-to-face interventions using standard care as comparison. Given the absence of head-to-head trials comparing mHealth with face-to-face interventions, we performed adjusted indirect comparison meta-analyses to compare these interventions. RESULTS A total of 10 studies involving 1772 PLHIV met the inclusion criteria. The average age of the study population was 45 years, and women comprised about 37%. In the short term, mHealth-delivered interventions were significantly more efficacious in increasing smoking cessation than no intervention control (risk ratio, RR, 2.81, 95% CI 1.44-5.49; n=726) and face-to-face interventions (RR 2.31, 95% CI 1.13-4.72; n=726). In the short term, face-to-face interventions were no more effective than no intervention in increasing smoking cessation (RR 1.22, 95% CI 0.94-1.58; n=1144). In terms of achieving long-term results among PLHIV, there was no significant difference in the rates of smoking cessation between those who received mHealth-delivered interventions, face-to-face interventions, or no intervention. Trial sequential analysis showed that only 15.16% (726/1304) and 5.56% (632/11,364) of the required information sizes were accrued to accept or reject a 25% relative risk reduction for short- and long-term smoking cessation treatment effects. In addition, sequential monitoring boundaries were not crossed, indicating that the cumulative evidence may be unreliable and inconclusive. CONCLUSIONS Compared with face-to-face interventions, mHealth-delivered interventions can better increase smoking cessation rate in the short term. The evidence that mHealth increases smoking cessation rate in the short term is encouraging but not sufficient to allow a definitive conclusion presently. Future research should focus on strategies for sustaining smoking cessation treatment effects among PLHIV in the long term.


2015 ◽  
Vol 69 (3) ◽  
pp. 291-298 ◽  
Author(s):  
Karen L. Cropsey ◽  
Bianca F. Jardin ◽  
Greer A. Burkholder ◽  
C. Brendan Clark ◽  
James L. Raper ◽  
...  

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Elexis C. Kierstead ◽  
Emily Harvey ◽  
Denisse Sanchez ◽  
Kimberly Horn ◽  
Lorien C. Abroms ◽  
...  

Abstract Objective Morbidity and mortality from smoking-related diseases among people living with HIV (PLWH) in the U.S. surpasses that due to HIV itself. Conventional smoking cessation treatments have not demonstrated strong efficacy among PLWH. We conducted a pilot randomized controlled trial (RCT) to evaluate a tailored smoking cessation intervention based on the minority stress model. We compared standard of care counseling (SOC) to a tailored intervention (TI) including one face-to-face counseling session incorporating cognitive behavioral therapy to build resilience, and 30 days of 2-way text messaging. Results The primary outcome was smoking cessation. Secondary outcomes included cigarettes per day (CPD), exhaled carbon monoxide (CO), and cessation self-efficacy. A total of 25 participants were enrolled (TI:11, SOC:14), and 2 were lost to follow-up. There were no significant differences in quit rates between study groups. However, there was a significantly greater decrease in CPD in the TI versus SOC (13.5 vs. 0.0, p-value:0.036). Additionally, self-efficacy increased in both groups (TI p-value:0.012, SOC p-value:0.049) and CO decreased in both groups (TI p-value: < 0.001, SOC p-value:0.049). This intervention shows promise to support smoking cessation among PLWH. A larger study is needed to fully evaluate the efficacy of this approach. Clinical trial: Trial Registration: Retrospectively registered (10/20/2020) NCT04594109.


2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Karolien Adriaens ◽  
Eline Belmans ◽  
Dinska Van Gucht ◽  
Frank Baeyens

Abstract Background This interventional-cohort study tried to answer if people who smoke and choose an e-cigarette in the context of smoking cessation treatment by tobacco counselors in Flanders are achieving smoking abstinence and how they compare to clients who opt for commonly recommended (or no) aids (nicotine replacement therapy, smoking cessation medication). Methods Participants were recruited by tobacco counselors. They followed smoking cessation treatment (in group) for 2 months. At several times during treatment and 7 months after quit date, participants were asked to fill out questionnaires and to perform eCO measurements. Results One third of all participants (n = 244) achieved smoking abstinence 7 months after the quit date, with e-cigarette users having higher chances to be smoking abstinent at the final session compared to NRT users. Point prevalence abstinence rates across all follow-up measurements, however, as well as continuous and prolonged smoking abstinence, were similar in e-cigarette users and in clients having chosen a commonly recommended (or no) smoking cessation aid. No differences were obtained between smoking cessation aids with respect to product use and experiences. Conclusions People who smoke and choose e-cigarettes in the context of smoking cessation treatment by tobacco counselors show similar if not higher smoking cessation rates compared to those choosing other evidence-based (or no) smoking cessation aids.


2015 ◽  
Vol 79 (1) ◽  
Author(s):  
C.A. Jiménez-Ruiz ◽  
K.O. Fagerström

Smoking cessation is the only therapeutic intervention that can prevent COPD smokers from the chronic progression of their disorder. The most important intervention for helping these smokers to quit is a combination of counseling plus pharmacological treatment. The characteristics of the counseling should be different depending if this intervention is offered to smokers with a previous diagnosis of COPD or if the intervention is offered to smokers who have been recently diagnoses with COPD. The counseling of patients who have been recently diagnosed should include: a) explanation of the direct relationship between smoking and COPD, b) encouraging these patients to quit and c) using of spirometry and measurements of CO as a motivational tools. The counseling of patients who have been previously diagnosed should include: a) encouragement to make a serious quit attempt, b) an intervention that increases motivation, self-efficacy and self-esteem, c) and the intervention should also control depression and be directed to weight gain control.


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