Evidence map›Paper›PMID 42232872›Full record

ArticleInternational journal of chronic obstructive pulmonary disease2026

Analysis of Current Status and Influencing Factors of Inhaler Treatment Adherence Among COPD Patients.

Zikang Jin, Baersi Ba, Wanyu Zhang, Ziyue Yang, Xiaoyi Wang

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Article in International journal of chronic obstructive pulmonary disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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5 authors.

Zikang JinDepartment of Pharmacy, First Affiliated Hospital of Shihezi University, Shihezi City, Xin Jiang Uygur Autonomous Region, People's Republic of China.ORCID 0009-0003-4696-0242
Baersi BaDepartment of Pharmacy, First Affiliated Hospital of Shihezi University, Shihezi City, Xin Jiang Uygur Autonomous Region, People's Republic of China.ORCID 0009-0000-2654-3036
Wanyu ZhangSchool of Pharmacy, Shihezi University, Shihezi City, Xin Jiang Uygur Autonomous Region, People's Republic of China.ORCID 0009-0009-4338-2313
Ziyue YangSchool of Pharmacy, Shihezi University, Shihezi City, Xin Jiang Uygur Autonomous Region, People's Republic of China.ORCID 0009-0001-6823-4941
Xiaoyi WangDepartment of Pharmacy, First Affiliated Hospital of Shihezi University, Shihezi City, Xin Jiang Uygur Autonomous Region, People's Republic of China.ORCID 0009-0002-1344-173X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To investigate the current status of inhaler treatment adherence and analyze its influencing factors among patients with chronic obstructive pulmonary disease (COPD) based on the clinical treatment data of a tertiary grade A hospital. Patients and Methods: A retrospective study design was adopted. COPD patients who received inhaler treatment at The First Affiliated Hospital of Shihezi University from July to December 2023 were enrolled. Their medical visit records, prescription data within 18 months after enrollment, and medical insurance reimbursement records were collected. Medication adherence was evaluated using proportion of days' supply covered (PDC) calculated from prescription and reimbursement records, not by direct measurement of actual inhaler, and patients were divided into three groups. The relationships between adherence and patients' basic characteristics, disease-related factors, and inhaler usage were analyzed. Results: A total of 706 patients were included in the study. Overall, patient adherence was poor as assessed by PDC, mean PDC of 43.67% ± 32.44%. Among them, 18.42% of patients had high adherence and 60.48% had low adherence. Male patients and those with a smoking history had higher adherence. The inhaler treatment adherence of COPD patients increased with the aggravation of the disease (Gamma = 0.267, p = 0.024), the prolongation of disease duration (r = 0.155, p < 0.01), and the increase in the number of acute exacerbations (p < 0.01). Patients using fluticasone furoate/vilanterol/umeclidinium bromide inhalation powder had higher overall adherence than those using budesonide/formoterol fumarate inhalation powder. Conclusion: Among patients with COPD at our hospital, adherence to inhaled therapy as measured by PDC is generally low. Lower PDC was observed in newly diagnosed patients and those without a history of acute exacerbations. In clinical practice, greater emphasis should be placed on medication education and long-term management for these patients.

Indexed as

Bronchodilator AgentsMedication AdherenceNebulizers and VaporizersPulmonary Disease, Chronic ObstructiveAdministration, InhalationAgedFemaleHumansMaleMiddle AgedRetrospective StudiesRisk FactorsTime FactorsTreatment OutcomeBronchodilator Agentschronic obstructive pulmonary diseaseinhaled medicationsproportion of days coveredtreatment adherence

Identifiers

PMID42232872
PMCPMC13225141

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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.