Evidence map›Paper›PMID 21836739›Full record

ArticlePublic health reports (Washington, D.C. : 1974)

Promoting health and safety in San Francisco's Chinatown restaurants: findings and lessons learned from a pilot observational checklist.

Megan Gaydos, Rajiv Bhatia, Alvaro Morales, Pam Tau Lee, Shaw San Liu, Charlotte Chang, Alicia L Salvatore, Niklas Krause, Meredith Minkler

Abstract read
In one paragraph

Article in Public health reports (Washington, D.C. : 1974). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Protecting labor rights: roles for public health.Public health reports (Washington, D.C. : 1974) · 2013
    Article
  9. Article
  10. 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

9 authors.

Megan GaydosSan Francisco Department of Public Health, Environmental Health Section, San Francisco, CA94102, USA. megan.gaydos@sfdph.org
Rajiv Bhatia
Alvaro Morales
Pam Tau Lee
Shaw San Liu
Charlotte Chang
Alicia L Salvatore
Niklas Krause
Meredith Minkler

Funding

Worker Health and Safety in Chinatown Restaurants: A CBPR StudyR21OH009081 · OH · UNIVERSITY OF CALIFORNIA BERKELEY · PI MINKLER, MEREDITH A · 2007 to 2008
$368k
NIOSH CDC HHS 1R21OH009081-01NIOSH CDC HHS R21 OH009081
6 · The paper itself

Abstract

Noncompliance with labor and occupational health and safety laws contributes to economic and health inequities. Environmental health agencies are well positioned to monitor workplace conditions in many industries and support enhanced enforcement by responsible regulatory agencies. In collaboration with university and community partners, the San Francisco Department of Public Health used an observational checklist to assess preventable occupational injury hazards and compliance with employee notification requirements in 106 restaurants in San Francisco's Chinatown. Sixty-five percent of restaurants had not posted required minimum wage, paid sick leave, or workers' compensation notifications; 82% of restaurants lacked fully stocked first-aid kits; 52% lacked antislip mats; 37% lacked adequate ventilation; and 28% lacked adequate lighting. Supported by a larger community-based participatory research process, this pilot project helped to spur additional innovative health department collaborations to promote healthier workplaces.

Indexed as

ChecklistOccupational HealthFemaleHealth PromotionHumansMaleOccupational ExposurePilot ProjectsRestaurantsSan FranciscoSocioeconomic FactorsWorkplace

Identifiers

PMID21836739
PMCPMC3150131

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.