Evidence map›Paper›PMID 10465818›Full record

ArticleTobacco control1999

Attitudes and experiences of restaurateurs regarding smoking bans in Adelaide, South Australia.

K Jones, M Wakefield, D A Turnbull

Abstract read
In one paragraph

Article in Tobacco control, 1999. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. 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

3 authors.

K JonesDepartment of Public Health, University of Adelaide, Australia.
M Wakefield
D A Turnbull

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo determine compliance with a voluntary code of practice (VCP) for restricting smoking in restaurants and to canvass the attitudes of restaurateurs towards tougher smoking restrictions.

designCross-sectional survey conducted in 1996 using a telephone questionnaire.

settingMetropolitan restaurants and cafes in Adelaide, South Australia.

participants276 (86.8%) of a sample of randomly selected owners and managers.

main outcome measuresRestaurant non-smoking policies, reported and anticipated change in business, and restaurateurs' attitudes towards smoking restrictions.

results26.8% of restaurants had a total smoking ban; 40.6% restricted smoking some other way; and 32.6% permitted unrestricted smoking. Only 15.1% of restaurants with a ban or restrictions had used the VCP to guide the development of their policy, and only half of these were complying with it. Although 78.4% of those with bans and 84.4% of those with restrictions reported that their non-smoking policy had been associated with either no change or a gain in business, only 33.3% of those allowing unrestricted smoking expected that this would be the case, if they were to limit smoking. A total of 50.4% of restaurateurs, including 45.3% of those with no restrictions, agreed that the government should ban smoking in all restaurants.

conclusionsThe VCP made an insignificant contribution to adoption of non-smoking policies, and compliance with the code was poor. Despite concerns about loss of business, there was considerable support for legislation which would ban smoking in all dining establishments.

Indexed as

RestaurantsSmoking PreventionAttitude to HealthCommunity ParticipationCross-Sectional StudiesHealth PolicyHumansRandom AllocationSouth AustraliaTobacco Smoke PollutionUrban PopulationTobacco Smoke Pollution

Identifiers

PMID10465818
PMCPMC1763913

What OpenQuestion holds

Textmetadata
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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.