Evidence map›Paper›PMID 36342765›Full record

ArticleJMIR formative research2022

Use of a Rapid Qualitative Method to Inform the Development of a Text Messaging Intervention for People With Serious Mental Illness Who Smoke: Formative Research Study.

Catherine S Nagawa, Ian A Lane, Colleen E McKay, Ariana Kamberi, Lisa L Shenette, Megan M Kelly, Maryann Davis, Rajani S Sadasivam

Open access · goldAbstract read
In one paragraph

Article in JMIR formative research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 33% of its field
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

3 citing papers in PubMed, 5 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Catherine S NagawaDepartment of Population and Quantitative Health Sciences, UMass Chan Medical School, Worcester, MA, United States.ORCID https://orcid.org/0000-0002-7761-118X
Ian A LaneTan Chingfen Graduate School of Nursing, UMass Chan Medical School, Worcester, MA, United States.ORCID https://orcid.org/0000-0002-4995-7060
Colleen E McKayDepartment of Psychiatry, UMass Chan Medical School, Worcester, MA, United States.ORCID https://orcid.org/0000-0001-8578-6222
Ariana KamberiDepartment of Population and Quantitative Health Sciences, UMass Chan Medical School, Worcester, MA, United States.ORCID https://orcid.org/0000-0001-5363-825X
Lisa L ShenetteDepartment of Population and Quantitative Health Sciences, UMass Chan Medical School, Worcester, MA, United States.ORCID https://orcid.org/0000-0002-0358-9688
Megan M KellyVISN 1 New England Mental Illness Research, Education, and Clinical Center, VA Bedford Healthcare System, Bedford, MA, United States.ORCID https://orcid.org/0000-0003-1433-1129
Maryann DavisDepartment of Psychiatry, UMass Chan Medical School, Worcester, MA, United States.ORCID https://orcid.org/0000-0002-6453-5202
Rajani S SadasivamDepartment of Population and Quantitative Health Sciences, UMass Chan Medical School, Worcester, MA, United States.ORCID https://orcid.org/0000-0001-8406-6207
University of Massachusetts Chan Medical School · USVA New England Healthcare System · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPeople with serious mental illness are disproportionately affected by smoking and face barriers to accessing smoking cessation treatments in mental health treatment settings. Text-based interventions are cost-effective and represent a widely accessible approach to providing smoking cessation support.

objectiveWe aimed to identify key factors for adapting text-based cessation interventions for people with serious mental illness who smoke.

methodsWe recruited 24 adults from mental health programs who had a serious mental illness and currently smoked cigarettes or had quit smoking within the past 5 years. We then conducted virtual qualitative interviews between November 2020 and August 2021. Data were analyzed using the rapid thematic analytic approach.

resultsWe identified the following 3 major themes: (1) interplay between smoking and having a serious mental illness, (2) social contextual factors of smoking in adults with serious mental illness, and (3) smoking and quitting behaviors similar to the general population. Participants reported barriers and facilitators to quitting across the 3 themes. Within the "interplay between smoking and having a serious mental illness" theme, barriers included smoking to manage stress and mental health symptoms, and facilitators to quitting included the awareness of the harm of smoking on mental health and patient-provider discussions on smoking and mental health. In the "social contextual factors of smoking in adults with serious mental illness" theme, barriers included high social acceptability of smoking among peers. Positive support and the combined social stigma of smoking and having a mental health condition outside of peer groups motivated individuals to quit. Some participants indicated that low exposure to other smokers during the COVID-19 pandemic helped them to engage in cessation efforts. In the "smoking and quitting behaviors similar to the general population" theme, barriers included smoking after eating, having coffee, drinking alcohol, and experiencing negative social support, and facilitators included health concerns, improvement in the general quality of life, and use of evidence-based tobacco treatments when available.

conclusionsPeople with serious mental illness often smoke to cope with intense emotional states, manage mental health symptoms, or maintain social bonds. Text message content emphasizing equally effective and less harmful ways for stress reduction and mental health symptom management may improve quit rates in individuals with serious mental illness.

Indexed as

COVID-19interventionmental disordermental healthpandemicpsychiatric disorderserious mental illnesssmokingsmoking cessationsymptomtext messagingtobacco usevirtual

Identifiers

PMID36342765
PMCPMC9679928
OpenAlexW4308473168

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.