Evidence map›Paper›PMID 33639656›Full record

ArticleAsian Pacific journal of cancer prevention : APJCP2021

Key Drivers to Implement an Evidence-based Tobacco Control Programme in Schools of India: A Mixed-Methods Study.

Akash Pradhan, Kunal Oswal, Keyuri Adhikari, Ajita Singh, Rishav Kanodia, Lakshman Sethuraman, Ramachandran Venkataramanan, Glorian Sorensen, Eve Nagler, Mangesh Pednekar and 2 more

Open access · goldAbstract read
In one paragraph

Article in Asian Pacific journal of cancer prevention : APJCP, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 2 pooled it
1.5field-weighted citation impact, top 18% 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, 2 syntheses or guidelines pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Development and Validation of a Comic Tool: An Innovative Approach to Raise Awareness about Tobacco Control among School Teachers.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine
    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

12 authors at 1 institution in 1 country.

Akash PradhanProgram Manager, Public Health, Cancer Care Program, Tata Trusts, India.
Kunal OswalProgram Manager, Public Health, Cancer Care Program, Tata Trusts, India.
Keyuri AdhikariProgram Manager, Public Health, Cancer Care Program, Tata Trusts, India.
Ajita SinghProgram Manager, Public Health, Cancer Care Program, Tata Trusts, India.
Rishav KanodiaProgram Manager, Public Health, Cancer Care Program, Tata Trusts, India.
Lakshman SethuramanProgram Manager, Public Health, Cancer Care Program, Tata Trusts, India.
Ramachandran VenkataramananProgram Manager, Public Health, Cancer Care Program, Tata Trusts, India.
Glorian SorensenProgram Manager, Public Health, Cancer Care Program, Tata Trusts, India.
Eve NaglerProgram Manager, Public Health, Cancer Care Program, Tata Trusts, India.
Mangesh PednekarProgram Manager, Public Health, Cancer Care Program, Tata Trusts, India.
Prakash GuptaProgram Manager, Public Health, Cancer Care Program, Tata Trusts, India.
Arnie PurushothamProgram Manager, Public Health, Cancer Care Program, Tata Trusts, India.
Tata Trusts · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdolescence is an influential stage in students' lives when lifelong behaviours such as tobacco use are formed. During these years, school teachers are important role models for tobacco control among students. A study was conducted among school personnel and administrators to understand the key drivers for implementing an evidence-based school tobacco control program. METHODOLOGY: A cross-sectional, mixed-method study was conducted in five districts of Assam, India. The quantitative study was conducted among 565 school personnel across 40 Government-aided schools. Data was collected by means of an anonymous, self-administered questionnaire. Qualitative data was generated from 15 focus group discussions (FGDs) among 146 participants - District Program Officers, Block Education Officers, Cluster Coordinators, Headmasters and Teachers.

resultsWhile the prevalence of smoked tobacco was low (3%), the use of smokeless tobacco was higher (40%), and the prevalence of use of areca nut without tobacco (65%) was still higher among school personnel. They were aware of the school policies prohibiting the use of tobacco among students within or outside school buildings or during school-sponsored activities (81%); they had rather limited knowledge about policy for themselves (58%). There was lack of access to training materials about prevention of tobacco use among youth. The FGDs amongst school personnel resulted in several constructive suggestions on tobacco control in schools mainly in training school teachers, monitoring the program and incentives for execution of the program. However, there was a reluctance to implement a smokeless tobacco control programme since many were current users of smokeless tobacco and areca nut.

conclusionTobacco control policies as well as training school personnel in schools need to improve and further measures must be taken to prohibit use of areca nut, which contains carcinogens. The existing system of the education department can be utilised to implement tobacco control programmes effectively.

Indexed as

SchoolsAdolescentAdultChildCross-Sectional StudiesHumansIndiaMiddle AgedSmokingSmoking PreventionSurveys and QuestionnairesTobacco ProductsTobacco UseYoung Adulteducational institutionsPreventionSchoolTeacherstobacco control

Identifiers

PMID33639656
PMCPMC8190370
OpenAlexW3134243231

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.