Evidence map›Paper›PMID 32760862›Full record

ArticleTobacco prevention & cessation2020

The effect of a clinic-based behavioral intervention in promoting enrolment in a text-message tobacco cessation program at a rural primary health clinic in Delhi, India.

Saurav Basu, Priyanka Yadav, Bratati Banerjee, Ankit Yadav

Open access · goldAbstract read
In one paragraph

Article in Tobacco prevention & cessation, 2020. 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
0.8field-weighted citation impact, top 28% 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

2 citing papers in PubMed, 9 citations in OpenAlex.

  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

4 authors at 1 institution in 1 country.

Saurav BasuDepartment of Community Medicine, Maulana Azad Medical College, New Delhi, India.
Priyanka YadavDepartment of Community Medicine, Maulana Azad Medical College, New Delhi, India.
Bratati BanerjeeDepartment of Community Medicine, Maulana Azad Medical College, New Delhi, India.
Ankit YadavDepartment of Community Medicine, Maulana Azad Medical College, New Delhi, India.
Maulana Azad Medical College · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe mCessation is a text-message service for quitting tobacco in India, associated with high quit rates but low rates of enrolment. We determined if a brief behavioral intervention package (BBPMC) can promote the enrolment of male tobacco users in the mCessation program (MCP).

methodsWe conducted a quasi-experimental study (single-arm) at a rural primary health clinic in Delhi, India, January-April 2019. We enrolled adult male current tobacco users after screening for eligibility. A trained medical physician administered the BBPMC explaining to patients the major health risks causally associated with tobacco use, along with information on the MCP and the way to register for the service.

resultsWe recruited a total of 159 tobacco users, mean age 44.5 years (SD=14.3) with median tobacco use duration of 15 years. After administration of the BBPMC, 50 (31.2%) participants registered with the MCP program on-site. On an adjusted analysis, tobacco users with a preexisting intention to quit were three times more likely to enroll in the MCP.

conclusionsPhysicians and other healthcare providers in Indian outpatient health settings should utilize BBPMC like interventions that are easily scalable, require no specialized training, and and allow them to fulfill their obligation to provide a readily accessible tobacco cessation service to their patients.

Indexed as

behavioral interventionmCessationsmoking cessationtobacco cessation

Identifiers

PMID32760862
PMCPMC7398136
OpenAlexW3021618289

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.