Evidence map›Paper›PMID 41063043›Full record

ArticleBMC pulmonary medicine2025

Determinants of adherence to inhaler use in patients with asthma: the role of knowledge, self-efficacy, and perceived barriers.

Saeed Hosseininia, Sousan Mohammadikebar, Leila Motashakkeri, Aziz Kamran

Abstract read
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Article in BMC pulmonary medicine, 2025. 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
–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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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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

4 authors.

Saeed HosseininiaDepartment of Internal Medicine, School of Medicine, Imam Khomeini Hospital, Ardabil University of Medical Sciences, Ardabil, Iran.
Sousan MohammadikebarDepartment of Internal Medicine, School of Medicine, Imam Khomeini Hospital, Ardabil University of Medical Sciences, Ardabil, Iran.
Leila MotashakkeriDepartment of Internal Medicine, School of Medicine, Imam Khomeini Hospital, Ardabil University of Medical Sciences, Ardabil, Iran.
Aziz KamranDepartment of Community Medicine, School of Medicine, Ardabil University of Medical Sciences, Ardabil, Iran. Aziz_kamran@ymail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdherence to inhaler therapy is a crucial determinant in the management and control of asthma. However, real-world evidence indicates that only 30-70% of patients adhere to prescribed treatments. This study aimed to identify the psychological and behavioral factors influencing inhaler adherence among patients with asthma.

methodsThis cross-sectional study was conducted on 300 patients with a confirmed diagnosis of asthma based on GINA criteria at Imam Khomeini Hospital, Ardabil, Iran, during the winter of 2021-2022. Participants were selected through a census sampling method. Data were collected using a researcher-developed questionnaire and analyzed statistically.

resultsInhaler adherence was positively associated with patient knowledge, disease acceptance, treatment acceptance, self-efficacy, and perceived benefits of inhaler use. Conversely, fear of side effects and inhaler-related stigma were negatively associated with adherence (P < 0.05). Significant differences in adherence-related variables (knowledge, disease and treatment acceptance, stigma, self-efficacy, and perceived benefits) were found across different educational levels and between urban and rural patients (P < 0.05).

conclusionsPsychological and behavioral factors play a significant role in adherence to inhaler therapy in asthma patients. Regular assessment of patients' knowledge, beliefs, and behavioral patterns regarding inhaler use during clinical visits may enhance self-management and improve treatment outcomes.

Indexed as

Anti-Asthmatic AgentsAsthmaHealth Knowledge, Attitudes, PracticeMedication AdherenceNebulizers and VaporizersSelf EfficacyAdministration, InhalationAdultAgedCross-Sectional StudiesFemaleHumansIranMaleMiddle AgedSocial StigmaAnti-Asthmatic AgentsAsthmaInhaler adherenceSelf-efficacyStigmaTreatment acceptance

Identifiers

PMID41063043
PMCPMC12505728

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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.