Evidence map›Paper›PMID 26086381›Full record

ArticleJournal of public health management and practice : JPHMP

Implementation of Clean Indoor Air Laws: Complaints, Citations, and Fines or Sanctions Related to Possible Violations of the Kansas Clean Indoor Air Act.

John S Neuberger, Barbara LaClair

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of public health management and practice : JPHMP. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

John S NeubergerDepartment of Preventive Medicine and Public Health, University of Kansas School of Medicine, Kansas City (Dr Neuberger); and Kansas Health Institute, Topeka (Ms LaClair).
Barbara LaClair

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo determine how well the Kansas Clean Indoor Air Act was being observed and enforced.

designA survey inquired about complaints, citations, and fines or sanctions after the implementation of the Kansas Clean Indoor Air Act; inquiry was also made about the law's effectiveness. Descriptive statistics and Poisson tests of statistical significance were used.

settingEach of the 55 Kansas cities with more than 5000 in population.

participantsLaw enforcement personnel.

main outcome measuresMonthly rates of complaints, citations, fines or sanctions, and reports of the law's effectiveness during the 30-month period after implementation of the act.

resultsResponses were received from 100% of the sampled cities. The number of citizen complaints and citations decreased over time from 4.33 to 2.42 per month and from 3.17 to 0.92 per month, respectively. The number of fines or sanctions decreased from 1.67 per month to 0.50 per month. In 51 of 55 cities (92.7%), respondents reported that the Kansas Clean Indoor Act appeared to be working effectively. There was a statistically significant difference between the first and second and first and third time periods for citations and fines or sanctions. However, there was only a statistically significant difference between the first and third time periods for citizen complaints.

conclusionsThe law appears to be functioning effectively. This approach could be used to supplement measured or self-reported exposures to secondhand smoke in future studies in other jurisdictions, particularly in identifying areas with potential problems. Given the conservative nature of Kansas, adoption of such a law in the remaining states seems realistic.

Indexed as

Law EnforcementFemaleHumansKansasMaleSmoke-Free PolicySmokingSurveys and QuestionnairesTobacco Smoke PollutionTobacco Smoke Pollution

Identifiers

What OpenQuestion holds

Textmetadata
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.