Evidence map›Paper›PMID 29020525›Full record

ArticleCOPD2017

Social Determinants of Adherence to Pulmonary Rehabilitation for Chronic Obstructive Pulmonary Disease.

Gabriela R Oates, Bryant W Hamby, Irena Stepanikova, Sara J Knight, Surya P Bhatt, Jason Hitchcock, Christopher Schumann, Mark T Dransfield

Abstract read
In one paragraph

Article in COPD, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 5 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

38 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Equity in pulmonary rehabilitation delivery: a systematic review and meta-analysis.European respiratory review : an official journal of the European Respiratory Society · 2025
    Pooled it
  2. Pooled it
  3. Pooled it
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  5. Pooled it
  6. Trial
  7. Review
  8. Article
  9. Singing for adults with chronic respiratory disease.The Cochrane database of systematic reviews · 2026
    Article
  10. Clinical rehabilitation · 2026
    Article
  11. Review
  12. Patient Characteristics and Outcomes by Sex and Smoking Status in Pulmonary and Cardiac Rehabilitation.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2025
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
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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

8 authors.

Gabriela R Oatesa Preventive Medicine , University of Alabama at Birmingham , Birmingham , AL , USA.ORCID http://orcid.org/0000-0003-4052-1524
Bryant W Hambyb Sociology , University of Alabama at Birmingham , Birmingham , AL , USA.
Irena Stepanikovab Sociology , University of Alabama at Birmingham , Birmingham , AL , USA.
Sara J Knighta Preventive Medicine , University of Alabama at Birmingham , Birmingham , AL , USA.
Surya P Bhattd Lung Health Center and Pulmonary, Allergy and Critical Care Medicine , University of Alabama at Birmingham , Birmingham , AL , USA.
Jason Hitchcocke Cardiopulmonary Rehabilitation , University of Alabama at Birmingham , Birmingham , AL , USA.
Christopher Schumanne Cardiopulmonary Rehabilitation , University of Alabama at Birmingham , Birmingham , AL , USA.
Mark T Dransfieldc Birmingham Veterans Affairs Medical Center , Birmingham , AL , USA.

Funding

UAB K12 in Patient Centered Outcomes ResearchK12HS023009 · AHRQ · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI SAAG, KENNETH G · 2014 to 2018
$4.0M
AHRQ HHS K12 HS023009
6 · The paper itself

Abstract

Adherence to pulmonary rehabilitation (PR) is low. Previous studies have focused on clinical predictors of PR completion. We aimed to identify social determinants of adherence to PR. A cross-sectional analysis of a database of COPD patients (N = 455) in an outpatient PR program was performed. Adherence, a ratio of attended-to-prescribed sessions, was coded as low (<35%), moderate (35-85%), and high (>85%). Individual-level measures included age, sex, race, BMI, smoking status, pack-years, baseline 6-minute walk distance (6MWD: <150, 150-249, ≥250), co-morbidities, depression, and prescribed PR sessions (≤20, 21-30, >30). Fifteen area-level measures aggregated to Census tracts were obtained from the U.S. Census after geocoding patients' addresses. Using exploratory factor analysis, a neighborhood socioeconomic disadvantage index was constructed, which included variables with factor loading >0.5: poverty, public assistance, households without vehicles, cost burden, unemployment, and minority population. Multivariate regression models were adjusted for clustering on Census tracts. Twenty-six percent of patients had low adherence, 23% were moderately adherent, 51% were highly adherent. In the best fitted full model, each decile increase in neighborhood socioeconomic disadvantage increased the risk of moderate vs high adherence by 14% (p < 0.01). Smoking tripled the relative risk of low adherence (p < 0.01), while each increase in 6MWD category decreased that risk by 72% (p < 0.01) and 84% (p < 0.001), respectively. These findings show that, relative to high adherence, low adherence is associated with limited functional capacity and current smoking, while moderate adherence is associated with socioeconomic disadvantage. The distinction highlights different pathways to suboptimal adherence and calls for tailored intervention approaches.

Indexed as

Social ClassAdultAgedAged, 80 and overComorbidityCost of IllnessCross-Sectional StudiesDepressionFactor Analysis, StatisticalFemaleHumansLogistic ModelsMaleMiddle AgedMinority GroupsMotor Vehiclesadherencepulmonary rehabilitationsocial determinantssocioeconomic disadvantage

Identifiers

PMID29020525
PMCPMC5830088

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.