Evidence map›Paper›PMID 26062037›Full record

SynthesisInternational journal of environmental research and public health2015

Smoking Cessation among Low-Socioeconomic Status and Disadvantaged Population Groups: A Systematic Review of Research Output.

Ryan J Courtney, Sundresan Naicker, Anthony Shakeshaft, Philip Clare, Kristy A Martire, Richard P Mattick

Abstract readSystematic Review
In one paragraph

Synthesis in International journal of environmental research and public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

6 authors.

Ryan J CourtneyNational Drug and Alcohol Research Centre (NDARC), University of New South Wales, Sydney, NSW 2052, Australia. r.courtney@unsw.edu.au.
Sundresan NaickerNational Drug and Alcohol Research Centre (NDARC), University of New South Wales, Sydney, NSW 2052, Australia. s.naicker@unsw.edu.au.
Anthony ShakeshaftNational Drug and Alcohol Research Centre (NDARC), University of New South Wales, Sydney, NSW 2052, Australia. a.shakeshaft@unsw.edu.au.
Philip ClareNational Drug and Alcohol Research Centre (NDARC), University of New South Wales, Sydney, NSW 2052, Australia. p.clare@unsw.edu.au.
Kristy A MartireNational Drug and Alcohol Research Centre (NDARC), University of New South Wales, Sydney, NSW 2052, Australia. k.martire@unsw.edu.au.
Richard P MattickNational Drug and Alcohol Research Centre (NDARC), University of New South Wales, Sydney, NSW 2052, Australia. r.mattick@unsw.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSmoking cessation research output should move beyond descriptive research of the health problem to testing interventions that can provide causal data and effective evidence-based solutions. This review examined the number and type of published smoking cessation studies conducted in low-socioeconomic status (low-SES) and disadvantaged population groups.

methodsA systematic database search was conducted for two time periods: 2000-2004 (TP1) and 2008-2012 (TP2). Publications that examined smoking cessation in a low-SES or disadvantaged population were coded by: population of interest; study type (reviews, non-data based publications, data-based publications (descriptive, measurement and intervention research)); and country. Intervention studies were coded in accordance with the Cochrane Effective Practice and Organisation of Care data collection checklist and use of biochemical verification of self-reported abstinence was assessed.

results278 citations were included. Research output (i.e., all study types) had increased from TP1 27% to TP2 73% (χ²=73.13, p<0.001), however, the proportion of data-based research had not significantly increased from TP1 and TP2: descriptive (TP1=23% vs. TP2=33%) or intervention (TP1=77% vs. TP2=67%). The proportion of intervention studies adopting biochemical verification of self-reported abstinence had significantly decreased from TP1 to TP2 with an increased reliance on self-reported abstinence (TP1=12% vs. TP2=36%).

conclusionsThe current research output is not ideal or optimal to decrease smoking rates. Research institutions, scholars and funding organisations should take heed to review findings when developing future research and policy.

Indexed as

Research DesignSmoking CessationSocial ClassVulnerable PopulationsHumanshomeless personsindigenous populationinterventionmental disorderspovertyprisonersreviewsmoking cessationsocial classsocio-economic factors

Identifiers

PMID26062037
PMCPMC4483709

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.