ArticleCHEST pulmonary2024
Guideline Alignment and Medication Concordance in COPD.
Article in CHEST pulmonary, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
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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.
Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.
- Comparative effectiveness of triple versus dual inhaled therapy (ICS/LABA or LABA/LAMA) for chronic obstructive pulmonary disease: a systematic review and network meta-analysis.BMC pulmonary medicine · 2026Pooled it
- Patterns and Adherence to GOLD-Recommended Inhaled Therapy in Chronic Obstructive Pulmonary Disease (COPD) Patients with Acute Exacerbation History in Primary Care in China.International journal of chronic obstructive pulmonary disease · 2026Article
- A Prospective Observational Study Evaluating the PRogression Of BronchiEctasis in COPD Patients - Results from the PROBE - COPD Study.International journal of chronic obstructive pulmonary disease · 2026Observational
- Guideline-concordant inhaled medication use in COPD: a systematic review of definitions used in administrative health data.ERJ open research · 2025Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundProvider adherence to clinical treatment guidelines in COPD is low. However, for patients to receive guideline-aligned care, providers not only must prescribe guideline-aligned care, but also must communicate that regimen successfully to patients to ensure medication concordance. The rate of medication concordance between patients and providers and its impact on clinical management is unknown in COPD. RESEARCH QUESTION: To examine rates of guideline alignment and medication concordance and to identify patient-level factors that place patients at risk for these types of poor disease management outcomes. STUDY DESIGN AND
methodsThis study was a secondary data analysis of the Medication Adherence Research in COPD study (2017-2023). Participants were categorized into 2017 Global Initiative for Chronic Obstructive Lung Disease (GOLD) stage. Medication regimens were classified as aligned or nonaligned with 2017 GOLD guidelines. Nonaligned regimens were stratified further into overuse and underuse categories. Medication concordance between provider-reported and participant-reported regimens was determined. Factors associated with guideline alignment and medication concordance were evaluated using logistic regression.
resultsOf 191 participants, 51% of provider-reported regimens were guideline aligned, with 86% of nonaligned regimens reflecting overuse with an inhaled corticosteroid (ICS). Thirty-eight percent of participants reported different regimens than their providers, of which > 80% reflected participants not reporting medications their providers reported prescribing. Participants did not report long-acting muscarinic antagonists and long-acting beta-agonists at similar rates as ICSs. Greater symptom burden and absence of a pulmonologist on the care team were associated with both guideline misalignment and medication discordance. Cognitive impairment and Black race additionally were associated with medication discordance.
interpretationGuideline misalignment and medication discordance were common and were driven by overuse of ICSs and unreported medications, respectively. The patient-level factors associated with medication discordance highlight the importance of improving patient-provider communication to improve clinical management in COPD.
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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.