Evidence map›Paper›PMID 27812523›Full record

ArticleFrontiers in public health2016

When There Is Not Enough Evidence and When Evidence Is Not Enough: An Australian Indigenous Smoking Policy Study.

Daniel Vujcich, Mike Rayner, Steven Allender, Ray Fitzpatrick

Abstract read
In one paragraph

Article in Frontiers in public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. 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.

Daniel VujcichWestern Australian Department of Health, Public Health Division , Perth, WA , Australia.
Mike RaynerNuffield Department of Population Health, University of Oxford , Oxford , UK.
Steven AllenderSchool of Health and Social Development, Deakin University , Geelong, VIC , Australia.
Ray FitzpatrickNuffield Department of Population Health, University of Oxford , Oxford , UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe

methodsData were collected through (1) a review of primary documents largely obtained under the

resultsGovernment policy design was heavily influenced by the recommendations presented in government authored/commissioned literature reviews. Resulting policies were led by equivocal evidence for improved tobacco control outcomes among Indigenous Australians. Many of the cited studies had methodological limitations. In the absence of high-quality evidence, some policy makers supported policy recommendations that were perceived to be popular among the Indigenous community. Other policy makers recognized that there were barriers to accumulating rigorous, generalizable evidence; in the absence of such evidence, the policy makers considered that the "need for action" could be combined with the "need for research" by introducing innovative strategies and evaluating them. DISCUSSION: Despite the absence of high-quality evidence, the formulation and adoption of Indigenous tobacco policy was neither irrational nor reckless. The decision to adopt an innovate and evaluate strategy was justifiable given (a) the potential for the gap between Indigenous and non-Indigenous health outcomes to worsen in the absence of an imminent policy response; (b) the existence of circumstances, which made it difficult to obtain high-quality evidence to guide policy; and (c) the need for policy solutions to reflect community preferences, given sociohistorical sensitivities.

Indexed as

aboriginal healthevidence-based policyindigenous healthpolicy analysispolicy makingsmoking cessationtobacco

Identifiers

PMID27812523
PMCPMC5071375

What OpenQuestion holds

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Registered trials

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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.