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Non adherence to inhalational medications and associated factors among patients with asthma in a referral hospital in Ethiopia, using validated tool TAI

Overview of attention for article published in Asthma Research and Practice, October 2017
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3 X users

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Title
Non adherence to inhalational medications and associated factors among patients with asthma in a referral hospital in Ethiopia, using validated tool TAI
Published in
Asthma Research and Practice, October 2017
DOI 10.1186/s40733-017-0035-0
Pubmed ID
Authors

Asnakew Achaw Ayele, Henok Getachew Tegegn

Abstract

Asthma is a chronic inflammatory condition of the airways that affects roughly 358 million people globally. It is a serious global health problem with an increasing prevalence worldwide. Most people affected are in low- and middle-income countries including Ethiopia. The association between non -adherence and poor disease control is clearly stated in different literatures. The main objective of the present study was to assess self-reported non- adherence level and to identify the potential factors associated with non-adherence. An institution based cross-sectional study was conducted in university of Gondar teaching and referral hospital. The data was collected using a validated tool called Test of Adherence to Inhalers (TAI). Among the total of study participants, higher proportions of patients were female (57.3%). Large number of the respondents (59.1%) were Unable to read and write. 18.3% of inhalational user asthmatic patients were not adherent to inhalational medications. According to this study only 49.4% of the respondents were adherent to inhalations and 32.3% of them were intermediate adherent to inhalational anti asthmatics medications. Lack of education about the Proper use of inhalational anti-asthmatics medications, poly pharmacy and co-morbidities were statistically significant factors associated with non-adherence. The rate of non-adherence to inhalational anti asthmatics is high. Therefore, promoting optimal medication adherences through education, proper patient consultation is essential to optimize the benefits of treatment. Measurement of the degree of non-adherence to inhaled treatment in each individual patient is important in early interventional practice.

X Demographics

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The data shown below were collected from the profiles of 3 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 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 57 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 7 12%
Student > Master 5 9%
Student > Ph. D. Student 5 9%
Lecturer 4 7%
Other 4 7%
Other 9 16%
Unknown 23 40%
Readers by discipline Count As %
Medicine and Dentistry 14 25%
Pharmacology, Toxicology and Pharmaceutical Science 7 12%
Agricultural and Biological Sciences 4 7%
Nursing and Health Professions 3 5%
Biochemistry, Genetics and Molecular Biology 2 4%
Other 1 2%
Unknown 26 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 04 December 2017.
All research outputs
#14,083,124
of 23,006,268 outputs
Outputs from Asthma Research and Practice
#59
of 82 outputs
Outputs of similar age
#172,382
of 323,390 outputs
Outputs of similar age from Asthma Research and Practice
#1
of 1 outputs
Altmetric has tracked 23,006,268 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 82 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one is in the 21st percentile – i.e., 21% of its peers scored the same or lower than it.
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 323,390 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them