Evidence map›Paper›PMID 35387648›Full record

ArticleBMC public health2022

Text-messaging to promote smoking cessation among individuals with opioid use disorder: quantitative and qualitative evaluation.

Divya Shankar, Belinda Borrelli, Vinson Cobb, Lisa M Quintiliani, Tibor Palfai, Zoe Weinstein, Katia Bulekova, Hasmeena Kathuria

Abstract read
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Divya ShankarPulmonary Center, Department of Medicine, Boston University Medical Center, 72 East Concord Street, R304, Boston, MA, USA. divyas@bu.edu.
Belinda BorrelliBoston University, Henry M. Goldman School of Dental Medicine, Boston, MA, USA.
Vinson CobbPulmonary Center, Department of Medicine, Boston University Medical Center, 72 East Concord Street, R304, Boston, MA, USA.
Lisa M QuintilianiSection of General Internal Medicine, Boston Medical Center and Boston University School of Medicine, Boston, MA, USA.
Tibor PalfaiPsychological and Brain Science, Boston University, Boston, MA, USA.
Zoe WeinsteinClinical Addiction Research and Education (CARE) Unit, Section of General Internal Medicine, Boston Medical Center and Boston University School of Medicine, Boston, MA, USA.
Katia BulekovaResearch Computing Services (RCS) group, Information Services & Technology, Boston University, Boston, MA, USA.
Hasmeena KathuriaPulmonary Center, Department of Medicine, Boston University Medical Center, 72 East Concord Street, R304, Boston, MA, USA.

Funding

Project-005UL1TR001430 · NCATS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI BAIR-MERRITT, MEGAN H, CENTER, DAVID M. · 2015 to 2024
$52.3M
NCATS NIH HHS UL1 TR001430
6 · The paper itself

Abstract

introductionIndividuals with opioid use disorder (OUD) who smoke cigarettes have high tobacco-related comorbidities, lack of access to tobacco treatment, lack of inclusion in smoking cessation trials, and remain understudied in the mobile health field. The purpose of this study was to understand patients' with OUD perceptions of 1) text message programs to promote smoking cessation, 2) content and features to include in such a program, and 3) how message content should be framed.

methodsFrom December 2018 to February 2019, we recruited 20 hospitalized individuals with a concurrent diagnosis of OUD and tobacco dependence at Boston Medical Center (BMC), the largest safety-net hospital in New England. We surveyed participants' cell phone use, their interest in a text message program to promote smoking cessation, and their reactions to and ratings of a series of 26 prototype texts. We then conducted open-ended interviews to elicit content and suggestions on how text message interventions can improve motivation to increase smoking cessation among individuals with OUD. The interviews also included open-ended inquiries exploring message ratings and message content, inquiries about preferences for message duration, frequency, and personalization.

resultsQuantitative analysis of questionnaire data indicated that the majority of participants owned a cell phone (95%, 19/20). Most participants (60%, 12/20) reported that they would be interested or very interested in receiving text messages about smoking cessation. Text messages about the health benefits of quitting were rated the highest among various categories of text messages. Qualitative analysis showed that almost every participant felt that text messages would help motivate smoking cessation given the support it would provide.

conclusionsThis study demonstrates that individuals with OUD who smoke cigarettes perceive that a text message program designed to promote smoking cessation would motivate and support smoking cessation efforts. Our findings demonstrate that such a program is feasible as participants own cell phones, frequently send and receive text messages, and have unlimited text message plans. Findings from this study provide valuable insight into content and features to include when developing text message programs to address barriers to smoking cessation in individuals who have OUD and smoke cigarettes.

Indexed as

Opioid-Related DisordersSmoking CessationText MessagingTobacco Use DisorderHumansMotivationMobile health interventionsOpioid use disorderSocial determinants of healthSubstance-related disordersText messagingTobacco dependence treatmentTobacco use disorder/ therapy

Identifiers

PMID35387648
PMCPMC8988312

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Registered trials

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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 OpenQuestion graph.