Association and correlation of patient symptom perception and asthma control - a rapid literature review.


Journal

Asian Pacific journal of allergy and immunology
ISSN: 0125-877X
Titre abrégé: Asian Pac J Allergy Immunol
Pays: Thailand
ID NLM: 8402034

Informations de publication

Date de publication:
15 Jun 2024
Historique:
medline: 15 6 2024
pubmed: 15 6 2024
entrez: 15 6 2024
Statut: aheadofprint

Résumé

Several studies suggest that patients often under-estimate their asthma symptoms and over-estimate their level of asthma control, potentially putting them at risk of undertreatment with inhaled corticosteroids. To determine the association and correlation between patient symptom perception and asthma control. A rapid literature review comprising searches in MEDLINE, Embase and Cochrane Library identified English language articles published between 2011-2021 that included a statistical measure of the association or correlation between perceptions of symptoms and asthma control in patients with asthma (adults and/or children). [PROSPERO CRD42021230152]. The Joanna Briggs Institute (JBI) instrument was used for study quality appraisal. Of 22 identified studies, nine presented association data and 13 reported correlation analyses. Eight of nine association studies showed a discordance between patients perceived symptoms and level of asthma control or lung function; among these, patients more frequently overestimated their asthma control than they underestimated their asthma control. Of 10 studies reporting correlation coefficients, all reported a statistically significant correlation between increased symptoms and worse asthma control; however, the strength of the correlation was shown to be only weak or moderate in most studies (coefficients numerically ranged from 0.12 to 0.74). Many patients with asthma tend to overestimate their level of asthma control. Although more frequent or worse symptoms were shown to be statistically significantly correlated with worsening asthma control, there was wide variation in correlation strengths, most showing weak or moderate correlations. Research to further understand the reasons for patient symptom misperceptions are warranted.

Sections du résumé

BACKGROUND BACKGROUND
Several studies suggest that patients often under-estimate their asthma symptoms and over-estimate their level of asthma control, potentially putting them at risk of undertreatment with inhaled corticosteroids.
OBJECTIVE OBJECTIVE
To determine the association and correlation between patient symptom perception and asthma control.
METHODS METHODS
A rapid literature review comprising searches in MEDLINE, Embase and Cochrane Library identified English language articles published between 2011-2021 that included a statistical measure of the association or correlation between perceptions of symptoms and asthma control in patients with asthma (adults and/or children). [PROSPERO CRD42021230152]. The Joanna Briggs Institute (JBI) instrument was used for study quality appraisal.
RESULTS RESULTS
Of 22 identified studies, nine presented association data and 13 reported correlation analyses. Eight of nine association studies showed a discordance between patients perceived symptoms and level of asthma control or lung function; among these, patients more frequently overestimated their asthma control than they underestimated their asthma control. Of 10 studies reporting correlation coefficients, all reported a statistically significant correlation between increased symptoms and worse asthma control; however, the strength of the correlation was shown to be only weak or moderate in most studies (coefficients numerically ranged from 0.12 to 0.74).
CONCLUSION CONCLUSIONS
Many patients with asthma tend to overestimate their level of asthma control. Although more frequent or worse symptoms were shown to be statistically significantly correlated with worsening asthma control, there was wide variation in correlation strengths, most showing weak or moderate correlations. Research to further understand the reasons for patient symptom misperceptions are warranted.

Identifiants

pubmed: 38877849
doi: 10.12932/AP-181023-1710
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Hugo Neffen (H)

Center of Allergy and Immunology, Santa Fe, Argentina.

Arzu Yorgancıoğlu (A)

Department of Pulmonology, Medical Faculty, Celal Bayar University, Manisa, Turkey.

Hamdan Al-Jahdali (H)

King Saud bin Abdulaziz University for Health Sciences I KSAU-HS, College of Medicine, Riyadh, Kingdom of Saudi Arabia.

Steve McLachlan (S)

Data & Computational Science, GSK, Stevenage, UK.

Julie Myers (J)

Medical Decision Modeling Inc, Indianapolis, IN, USA.

Christopher Bly (C)

Medical Decision Modeling Inc, Indianapolis, IN, USA.

Pamela Martin (P)

Medical Decision Modeling Inc, Indianapolis, IN, USA.

Saeed Noibi (S)

Emerging Markets, Worldwide Medical Affairs, GSK, Jeddah, Kingdom of Saudi Arabia.

Classifications MeSH