Evidence map›Paper›PMID 35145838›Full record

ArticlePreventive medicine reports2022

Factors associated with smoking cessation attempts in a public, safety-net primary care system.

Leslie W Suen, Henry Rafferty, Thao Le, Kara Chung, Elana Straus, Ellen Chen, Maya Vijayaraghavan

Open access · goldAbstract read
In one paragraph

Article in Preventive medicine reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 44% of its field
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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Trial
  2. Article
  3. 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

7 authors at 4 institutions in 1 country.

Leslie W SuenNational Clinician Scholars Program, Philip R. Lee Institute for Health Policy Studies, University of California, San Francisco, CA, USA.
Henry RaffertySan Francisco Department of Public Health, San Francisco, CA, USA.
Thao LePhilip R. Lee Institute for Health Policy Studies, University of California, San Francisco, CA, USA.
Kara ChungPhilip R. Lee Institute for Health Policy Studies, University of California, San Francisco, CA, USA.
Elana StrausPhilip R. Lee Institute for Health Policy Studies, University of California, San Francisco, CA, USA.
Ellen ChenSan Francisco Department of Public Health, San Francisco, CA, USA.
Maya VijayaraghavanDivision of General Internal Medicine, University of California, San Francisco, Chan Zuckerberg San Francisco General Hospital, San Francisco, CA, USA.
Lee University · USSan Francisco Department of Public Health · USSan Francisco General Hospital · USUniversity of California, San Francisco · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Smoking cessation rates are low in safety-net settings. We conducted a retrospective analysis using electronic health record (EHR) data on adults with at least three primary care visits from 2016 to 2019 in the San Francisco Health Network (SFHN), a network of clinics serving publicly insured and uninsured San Francisco residents. We used multivariable regression to identify factors associated with 1) any cessation attempt, defined as smoking status change from "current smoker" at the index visit to "former smoker" at visit 2 or 3, and 2) a sustained cessation attempt, defined as smoking status change from "current smoker" at the index visit to "former smoker" at visits 2 and 3. We identified 7,388 adults currently smoking at the index visit; 26% (n = 1,908) made any cessation attempt, and 9% (n = 650) made a sustained cessation attempt. Factors associated with greater odds of any and sustained cessation attempts included Latinx/Hispanic ethnicity, American Indian/Alaskan Native race, and Spanish as the primary language. Meanwhile, older age, Medicaid insurance, and Chinese (i.e., Cantonese/Mandarin) as the primary language were associated with lower odds of both outcomes. Patient factors such as older age, Medicaid insurance, and speaking Chinese represent targets for improving cessation rates. Targeting interventions for these specific factors could further improve smoking cessation rates for lower cessation groups.

Indexed as

Electronic medical recordsPrimary careQuality improvementSafety-net clinicsSmoking cessation

Identifiers

PMID35145838
PMCPMC8802046
OpenAlexW4205984954

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.