Evidence map›Paper›PMID 39123187›Full record

ArticleBMC public health2024

Preferences of Iranian smokers regarding smart smoking cessation technologies: a parallel convergent mixed methods study.

Mohammad Hasan Sahebihagh, Mina Hosseinzadeh, Mojgan Mirghafourvand, Parvin Sarbakhsh, Hossein Nemati

Abstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Mohammad Hasan SahebihaghProfessor of Nursing Education, Tabriz Health Services Management Research Center, Department of Community Health Nursing, Tabriz University of Medical Sciences, Tabriz, Iran.
Mina HosseinzadehDepartment of Community Health Nursing, Tabriz University of Medical Sciences, Tabriz, Iran.
Mojgan MirghafourvandSocial Determinants of Health Research Center, Professor of Reproductive Health, Tabriz University of Medical Sciences, Tabriz, Iran.
Parvin SarbakhshDepartment of Statistics and Epidemiology, Faculty of Health, Tabriz University of Medical Sciences, Tabriz, Iran.
Hossein NematiDepartment of Community Health Nursing, Member of Student Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran. nematihossein72@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundConsidering the values and preferences of individuals who attempt to quit smoking is a crucial step in the development of smoking cessation technologies. This study aimed to explore preferences regarding smart smoking cessation technologies.

methodsThis parallel convergent mixed-methods study was conducted in two phases: quantitative and qualitative. In the quantitative phase, a cross-sectional study was conducted with 360 participants selected through stratified random sampling from technology-based smoking cessation clinics in Tabriz, Tehran, and Karaj cities in Iran. Data on demographic characteristics and preferences for smart smoking cessation technologies were collected using questionnaires and analyzed using descriptive statistics. In the qualitative phase, 25 users of these technologies were selected through purposeful and snowball sampling. The data were gathered through in-depth semistructured interviews and analyzed using qualitative content analysis with a conventional approach. Quantitative and qualitative data were integrated using the merging strategy and convergence model.

resultsThe quantitative phase results indicated that the highest preference was related to wearing and using a smartwatch for smoking cessation and using mobile apps. In the qualitative phase, 17 subcategories were extracted and classified into 8 main categories: high effectiveness, better management of the smoking cessation process, personalized technology, safe and uncomplicated technologies, attractiveness and innovative design, scientific basis, mobile applications, and smart monitoring devices.

conclusionBy combining and integrating quantitative and qualitative results, it can be concluded that users are more interested in wearable technologies and interactive mobile applications. The findings of this study can assist smoking cessation technology developers in designing and improving their tools based on user needs and preferences to enhance their effectiveness and acceptability.

Indexed as

Patient PreferenceQualitative ResearchSmokersSmoking CessationAdultCross-Sectional StudiesFemaleHumansIranMaleMiddle AgedMobile ApplicationsSurveys and QuestionnairesYoung AdultMixed methods studyPreferencesSmart technologiesSmoking cessation

Identifiers

PMID39123187
PMCPMC11316382

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.