Evidence map›Paper›PMID 36335376›Full record

ArticleAddiction science & clinical practice2022

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

Brandon T Sanford, Benjamin A Toll, Allison Ross Eckard, Katherine R Sterba, K Michael Cummings, Nathaniel L Baker, Alana M Rojewski

Registry-linked trialAbstract readClinical Trial Protocol
PubMed Full text at PMC Publisher
In one paragraph

Article in Addiction science & clinical practice, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05019495 (Optimizing Tobacco Treatment Delivery for People Living With HIV), which is not on this map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT05019495 narecruitingnot on this map

Optimizing Tobacco Treatment Delivery for People Living With HIV

TypeinterventionalSponsorMedical University of South CarolinaRan2021 to 2027Enrolled231ConditionsHiv, Smoking, CigaretteArmsPrOMOTE
3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Brandon T SanfordDepartment of Public Health Sciences, Medical University of South Carolina, 135 Cannon Street, MSC 835, 29425, Charleston, SC, USA.
Benjamin A TollDepartment of Public Health Sciences, Medical University of South Carolina, 135 Cannon Street, MSC 835, 29425, Charleston, SC, USA.
Allison Ross EckardDepartment of Public Health Sciences, Medical University of South Carolina, 135 Cannon Street, MSC 835, 29425, Charleston, SC, USA.
Katherine R SterbaDepartment of Public Health Sciences, Medical University of South Carolina, 135 Cannon Street, MSC 835, 29425, Charleston, SC, USA.
K Michael CummingsDepartment of Public Health Sciences, Medical University of South Carolina, 135 Cannon Street, MSC 835, 29425, Charleston, SC, USA.
Nathaniel L BakerDepartment of Public Health Sciences, Medical University of South Carolina, 135 Cannon Street, MSC 835, 29425, Charleston, SC, USA.
Alana M RojewskiDepartment of Public Health Sciences, Medical University of South Carolina, 135 Cannon Street, MSC 835, 29425, Charleston, SC, USA. rojewski@musc.edu.ORCID 0000-0003-1531-9287

Funding

Optimizing Tobacco Treatment Delivery for People Living with HIV Diversity SupplementR01CA261232 · NCI · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI Alana Rojewski · 2021 to 2026
$2.4M
Tobacco Treatment in the Context of Lung Cancer Screening - Administrative SupplementK07CA214839 · NCI · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI ROJEWSKI, ALANA · 2017 to 2021
$911k
NCI NIH HHS K07 CA214839NCI NIH HHS R01 CA261232
6 · The paper itself

Abstract

backgroundWith 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.

methodsThe 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 registrationClinicalTrials.gov: NCT05019495 (August 24, 2021).

Indexed as

Smoking CessationTobacco Use DisorderHumansNicotianaRandomized Controlled Trials as TopicTobacco UseHIVImplementation scienceOpt-outSmoking cessationSpecial populationsTobacco treatment

Identifiers

PMID36335376
PMCPMC9636678

What Socratic holds

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.