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Identification of factors involved in medication compliance: incorrect inhaler technique of asthma treatment leads to poor compliance

Overview of attention for article published in Patient preference and adherence, February 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

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Citations

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91 Mendeley
Title
Identification of factors involved in medication compliance: incorrect inhaler technique of asthma treatment leads to poor compliance
Published in
Patient preference and adherence, February 2016
DOI 10.2147/ppa.s95303
Pubmed ID
Authors

Josep Darbà, Gabriela Ramírez, Antoni Sicras, Laura García-Bujalance, Saku Torvinen, Rainel Sánchez-de la Rosa

Abstract

To identify the impact of delivery device of inhaled corticosteroids and long-acting β2-agonist (ICS/LABA) on asthma medication compliance, and investigate other factors associated with compliance. We conducted a retrospective and multicenter study based on a review of medical registries of asthmatic patients treated with ICS/LABA combinations (n=2,213) whose medical devices were either dry powder inhalers (DPIs, such as Accuhaler(®), Turbuhaler(®), and NEXThaler(®)) or pressurized metered-dose inhalers (pMDI). Medication compliance included persistence outcomes through 18 months and medication possession ratios. Data on potential confounders of treatment compliance such as asthma exacerbations, comorbidities, demographic characteristics, and health care resource utilization were also explored. The probability of asthma medication compliance in case of DPIs was lower compared to pMDIs, which suggests that inhaler devices influence inhalation therapies. There were additional confounding factors that were considered as explanatory variables of compliance. A worse measure of airflow obstruction (forced expiration volume in 1 second), comorbidities and general practitioner (GP) consultations more than once per month decreased the probability of compliance. Within comorbidities, alcoholism was positively associated with compliance. Patients of 29-39, 40-50, and 51-61 age groups or suffering from more than two exacerbations during the study period were more likely to comply with their medication regime. The effects of DPIs toward compliance varied with the different DPIs. For instance, Accuhaler(®) had a greater negative effect on compliance compared to Turbuhaler(®) and Nexthaler(®) in cases of patients who suffered exacerbations. We found that GP consultations reduced the probability of medication compliance for patients treated with formoterol/budesonide combination. For retired patients, visiting the GP increased the probability of medication compliance. We concluded that inhaler devices influence patients' compliance for long-term asthma medication. The impact of Accuhaler(®), Turbuhaler(®), and NEXThaler(®) on medication compliance was negative. We also identified some confounders of medication compliance such as patient's age, severity of asthma, comorbidities, and health care costs.

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 91 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 13%
Other 10 11%
Researcher 9 10%
Student > Bachelor 9 10%
Student > Postgraduate 7 8%
Other 19 21%
Unknown 25 27%
Readers by discipline Count As %
Medicine and Dentistry 27 30%
Pharmacology, Toxicology and Pharmaceutical Science 10 11%
Nursing and Health Professions 8 9%
Psychology 4 4%
Agricultural and Biological Sciences 2 2%
Other 10 11%
Unknown 30 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 July 2017.
All research outputs
#3,744,540
of 25,582,611 outputs
Outputs from Patient preference and adherence
#230
of 1,733 outputs
Outputs of similar age
#63,012
of 407,552 outputs
Outputs of similar age from Patient preference and adherence
#2
of 42 outputs
Altmetric has tracked 25,582,611 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,733 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done well, scoring higher than 86% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 407,552 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.