The Reliever Reliance Test: evaluating a new tool to address SABA over-reliance

Over-use of SABA is associated with poor asthma control and greater risk of exacerbations and death. Identifying and addressing the beliefs driving SABA over-reliance is key to reducing over-use. This study aimed to assess the utility, impact and acceptability of the Reliever Reliance Test (RRT), a brief patient self-test behaviour-change tool to identify and address SABA over-reliance. Patients with asthma who completed the RRT in Argentina were invited to an online survey exploring the acceptability of the RRT, and its impact on patients' perceptions of SABA and intention to discuss asthma treatment with a doctor. 93 patients completed the questionnaire. The RRT classified 76/93 (82%) as medium-to-high risk of SABA over-reliance (a mindset where SABA is perceived as the most important aspect of asthma treatment), with 73% of these reporting SABA overuse (3 or more times a week). 75% intended to follow the RRT recommendations to review their asthma treatment with their doctor. The RRT is acceptable to patients and was effective at raising awareness of, identifying and addressing SABA over-reliance and encouraging patients to review their treatment with their doctor.

Authors

Institutions

Publication Details

Journal
npj Primary Care Respiratory Medicine
Published
2024-11-05
DOI
https://doi.org/10.1038/s41533-024-00389-4
Citations
3
Primary Topic
Asthma and respiratory diseases
Type
article
Field-Weighted Citation Impact
0.98

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Reliever Reliance Test: evaluating a new tool to address SABA over-reliance

Holly Foot, Zoe Moon, Tonya Winders, Alan G. Kaplan et al.
3 citations
npj Primary Care Respiratory Medicine
Asthma and respiratory diseases
0.98
article

The Reliever Reliance Test: evaluating a new tool to address SABA over-reliance

Holly Foot, Zoe Moon, Tonya Winders, Alan G. Kaplan, Amy Hai Yan Chan, Vincent Mak, Luís J. Nannini, Rob Horne
article en
3 citations

Abstract

Over-use of SABA is associated with poor asthma control and greater risk of exacerbations and death. Identifying and addressing the beliefs driving SABA over-reliance is key to reducing over-use. This study aimed to assess the utility, impact and acceptability of the Reliever Reliance Test (RRT), a brief patient self-test behaviour-change tool to identify and address SABA over-reliance. Patients with asthma who completed the RRT in Argentina were invited to an online survey exploring the acceptability of the RRT, and its impact on patients' perceptions of SABA and intention to discuss asthma treatment with a doctor. 93 patients completed the questionnaire. The RRT classified 76/93 (82%) as medium-to-high risk of SABA over-reliance (a mindset where SABA is perceived as the most important aspect of asthma treatment), with 73% of these reporting SABA overuse (3 or more times a week). 75% intended to follow the RRT recommendations to review their asthma treatment with their doctor. The RRT is acceptable to patients and was effective at raising awareness of, identifying and addressing SABA over-reliance and encouraging patients to review their treatment with their doctor.

npj Primary Care Respiratory MedicineVol. 34(1)
Imperial College Healthcare NHS Trust (GB), University of Auckland (NZ), The University of Queensland (AU), University of Toronto (CA), London Centre for Nanotechnology (GB), TD Bank Group (CA), National University of Rosario (AR), University College London (GB)
AstraZeneca
No poverty
Openalex Percentile: Top 23%
Asthma and respiratory diseases
0.98
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.