Evidence map›Paper›PMID 27453849›Full record

ArticleJournal of family medicine and primary care

Sociodemographic characteristics of tobacco users as determinants of tobacco use screening done by healthcare providers: Global Adult Tobacco Survey India 2009-2010.

Rohini Ruhil

Open access · goldAbstract read
In one paragraph

Article in Journal of family medicine and primary care. 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
0.2field-weighted citation impact, top 39% 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, 4 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

1 author at 1 institution in 1 country.

Rohini RuhilCentre for Social Medicine and Community Health, Jawaharlal Nehru University, New Delhi, India.
Jawaharlal Nehru University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionWorld Health Organization and Indian Public Health Standards recommend provision of tobacco use screening and cessation help at primary care settings. Evidence shows that brief advice by healthcare provider helps tobacco user quit. It starts with asking the patient about his tobacco use status. The rate of tobacco use screening done by healthcare providers is very low and also depends on sociodemographic characteristics of patients along with several other factors.

objectivesThis paper intends to study how sociodemographic characteristics (age, gender, residence [rural/urban], education, and occupation) of tobacco users influence the tobacco use screening done by healthcare providers. MATERIALS AND

methodsThe study was a secondary data analysis of the Global Adult Tobacco Survey India 2009-2010. There were 4958 smokers and 7255 smokeless tobacco users included in the study who visited healthcare provider in the past 12 months prior to the survey. RESULTS AND DISCUSSION: The results showed that male smokers were more likely to be screened for smoking by healthcare providers as compared to female smokers. Furthermore, tobacco users in younger age groups were less likely to be screened for tobacco use by healthcare providers as compared to tobacco users in older age groups. Urban smokeless tobacco users were more likely to be screened for tobacco use by healthcare provider as compared to rural smokeless tobacco users.

conclusionHealthcare providers were being biased in tobacco use screening of their patients based on demographic characteristics of patients, i.e., their age, gender, and rural/urban residence. However, the evidence shows that it is very imperative to screen each and every patient for tobacco use habit.

Indexed as

Global Adult Tobacco Survey Indiahealthcare providerstobacco cessationtobacco use screening

Identifiers

PMID27453849
PMCPMC4943156
OpenAlexW2463254173

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.