Evidence map›Paper›PMID 26902236›Full record

ArticleJournal of general internal medicine2016

Predictors of Pharmacotherapy for Tobacco Use Among Veterans Admitted for COPD: The Role of Disparities and Tobacco Control Processes.

Anne C Melzer, Laura C Feemster, Margaret P Collins, David H Au

Open access · bronzeAbstract read
In one paragraph

Article in Journal of general internal medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

12 citing papers in PubMed, 18 citations in OpenAlex.

  1. Pilot Trial of a Behavioral Economics-Informed Clinical Decision Support Alert to Improve Inpatient Tobacco Use Treatment Rates.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2025
    Trial
  2. Article
  3. Variations in COPD Health Care Access and Outcomes: A Rapid Review.Chronic obstructive pulmonary diseases (Miami, Fla.) · 2024
    Article
  4. Article
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  7. Expanding Access to Cancer Clinical Trials for Patients With Mental Illness.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2019
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Anne C MelzerDivision of Pulmonary and Critical Care, University of Washington, Seattle, WA, USA. acmelzer@uw.edu.
Laura C FeemsterDivision of Pulmonary and Critical Care, University of Washington, Seattle, WA, USA.
Margaret P CollinsCenter of Innovation for Veteran-Centered and Value-Driven Care, VA Puget Sound Health Care System, 1660 S. Columbian Way, Mailstop S-152, Seattle, WA, 98108, USA.
David H AuDivision of Pulmonary and Critical Care, University of Washington, Seattle, WA, USA.
VA Puget Sound Health Care System · USUniversity of Washington · US

Funding

RESPIRATORY RESEARCH TRAINING PROGRAMT32HL007287 · NHLBI · UNIVERSITY OF WASHINGTON · PI Kristina Anne Crothers, David J. Horne · 1985 to 2026
$16.7M
Facilitating adoption of COPD evidence-based care in outpatient settings (FACES)K23HL111116 · NHLBI · UNIVERSITY OF WASHINGTON · PI FEEMSTER, LAURA CECERE · 2013 to 2017
$481k
NHLBI NIH HHS K23 HL111116NHLBI NIH HHS T32 HL007287
6 · The paper itself

Abstract

backgroundMany smokers admitted for chronic obstructive pulmonary disease (COPD) are not given smoking cessation medications at discharge. The reasons behind this are unclear, and may reflect an interplay of patient characteristics, health disparities, and the receipt of inpatient tobacco control processes.

objectivesWe aimed to assess potential disparities in treatment for tobacco use following discharge for COPD, examined in the context of inpatient tobacco control processes.

participantsSmokers aged ≥ 40 years, admitted for treatment of a COPD exacerbation within the VA Veterans Integrated Service Network 20, identified using ICD-9 discharge codes and admission diagnoses from 2005-2012. MAIN MEASURES: The outcome was any tobacco cessation medication dispensed within 48 hours of discharge. We assessed potential predictors administratively up to 1 year prior to admission. We created the final logistic regression model using manual model building, clustered by site. Variables with p < 0.2 in biviariate models were considered for inclusion in the final model.

resultsWe identified 1511 subjects. 16.9 % were dispensed a medication at discharge. In the adjusted model, several predictors were associated with decreased odds of receiving medications: older age (OR per year older 0.96, 95 % CI 0.95-0.98), black race (OR 0.34, 95 % CI 0.12-0.97), higher comorbidity score (OR 0.89, 95 % CI 0.82-0.96), history of psychosis (OR 0.40, 95 % CI 0.31-0.52), hypertension (OR 0.75, 95 % CI 0.62-0.90), and treatment with steroids in the past year (OR 0.80, 95 % CI 0.70-0.90). Inpatient tobacco control processes were associated with increased odds of receiving medications: documented brief counseling at discharge (OR 3.08, 95 % CI 2.02-4.68) and receipt of smoking cessation medications while inpatient (OR 5.95, 95 % CI 3.19-11.10).

conclusionsFew patients were treated with tobacco cessation medications at discharge. We found evidence for disparities in treatment, but also potentially beneficial effects of inpatient tobacco control measures. Further focus should be on using novel processes of care to improve provision of medications and decrease the observed disparities.

Indexed as

Healthcare DisparitiesAdultAgedAged, 80 and overFemaleHospitalizationHumansMaleMiddle AgedPatient DischargePulmonary Disease, Chronic ObstructiveSensitivity and SpecificitySmokingSmoking CessationTobacco Use Cessation DevicesTobacco Use DisorderCOPDdisparitiesnicotine replacementpharmacotherapyprocesses of caresmokingtobacco

Identifiers

PMID26902236
PMCPMC4870422
OpenAlexW2286432012

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.