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Research Articles

Measurement of adherence to inhaled corticosteroids by self-report and electronic medication monitoring

, MD, MPHORCID Icon, , MD & , MD, MSORCID Icon
Pages 1299-1305 | Received 31 Jul 2022, Accepted 01 Nov 2022, Published online: 01 Dec 2022
 

Abstract

Objective

Poor adherence to daily inhaled corticosteroids (ICS) is an important factor contributing to asthma morbidity. Assessing adherence in clinical settings using self-reported adherence often overestimates actual adherence. Electronic monitoring devices (EMDs) are objective means of assessing adherence, but are not routinely used in practice. Here, we aimed to establish adherence rates to ICS using EMDs in an inner-city, minority population in the Bronx, NY, and to compare two methods of self-reported adherence with EMD-measured adherence.

Methods

Patients with physician-confirmed persistent asthma and daily ICS prescription were recruited. Self-reported adherence to ICS was measured by parental report for children and self-report for adults and the Medication Adherence Report Scale for Asthma (MARS-A). Two weeks after enrollment, EMD data were accessed for analysis. Daily adherence was calculated based on the number of puffs actuated per day as captured by EMD divided by the prescribed number of puffs.

Results

41 children and 40 adults participated. Median EMD-measured ICS adherence was 41% (children) and 43% (adults). This was significantly lower than the median self-reported adherence (100% for children, p < 0.001; 100% for adults, p < 0.001). MARS-A score in children did not correlate with EMD adherence data (p = 0.18), while in adults, this correlation tended to be more consistent (p = 0.07).

Conclusions

Adherence to daily ICS as measured using EMD is low in this population. In both adults and children, self-reported adherence was a poor indicator of true adherence. Further efforts using objective measures of medication adherence for patients with high asthma morbidity may be warranted to guide therapeutic decisions.

Declaration of interest

Ye Sun has no conflicts of interest to report. Sunit P. Jariwala has received grant support from the NIH, AHRQ, Stony Wold-Herbert Fund, PCORI, American Lung Association, Price Family Fund, Genentech, AstraZeneca, Sonde Health, and Einstein CTSA/National Center for Advancing Translational Sciences; and has served as a consultant and/or member of a scientific advisory board for Teva and Sanofi. Marina Reznik has received grant support from the NIH, AHRQ, Stony Wold-Herbert Fund, American Lung Foundation, Price Family Fund, Monaghan Medical Corporation, The New York Community Trust, and Einstein CTSA/National Center for Advancing Translational Sciences (NCATS); and has served as a faculty for a CME-accredited Medscape program development.

Additional information

Funding

This work was funded in part by the Stony Wold-Herbert Fund, Community Service Grant, (Reznik- PI) (New York, NY) and Monaghan Medical Corporation research grant. The project described was also supported in part by the National Center for Advancing Translational Sciences (NCATS), components of the National Institutes of Health (NIH), through CTSA grant number UL1TR001073. Its contents are solely the responsibility of the authors and do not necessarily represent the official views of any of the funding agencies that supported the project.

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