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Medication adherence in chronic illness: do beliefs about medications play a role?

Overview of attention for article published in Patient preference and adherence, September 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

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4 X users

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195 Mendeley
Title
Medication adherence in chronic illness: do beliefs about medications play a role?
Published in
Patient preference and adherence, September 2018
DOI 10.2147/ppa.s169236
Pubmed ID
Authors

Jacinthe Lemay, Mohammad Waheedi, Sarah Al-Sharqawi, Tania Bayoud

Abstract

Several medicines are prescribed for chronic disease management; however, adherence to long-term therapy remains poor. Culture influences beliefs about medications and, ultimately, adherence to treatment. There is a paucity of data with regard to beliefs about medications in the Middle East region, and it remains to be determined how these beliefs would impact treatment adherence. To investigate the relationship between patients' beliefs about medications with self-reported adherence to treatment among a chronically ill multicultural patient population. A prospective cross-sectional study was conducted among patients treated for chronic illnesses in the Ministry of Health primary care clinics in Kuwait. Patients completed a questionnaire that consisted of questions to collect information about their health status and demographics using validated instruments: the Beliefs about Medication, Sensitive Soma Assessment Scale, and Medication Adherence Report Scale-5 items. The main outcome measures were self-reported adherence to medications, beliefs, and perceived sensitivity toward medications. Of the 1,150 questionnaires distributed, 783 were collected - giving a response rate of 68.1%. Of the 783 patients, 56.7% were male, 73.7% were married, 53.3% were non-Kuwaitis, and 49.4% had low income (<1,000 KD/3,350 USD monthly). Patients self-reported having a cardiovascular illness (80.2%), diabetes mellitus (67.7%), respiratory disease (24.3%), or mood disorder (28.6%). Participants had a mean of two comorbid illnesses and indicated taking an average of four prescription medicines to treat them. A structural equation model analysis showed adherence to medications was negatively impacted by higher negative beliefs toward medications (beta = -0.46). Factors associated with negative beliefs toward medications included marital status (being unmarried; beta = -0.14), nationality (being Kuwaiti; beta = 0.15), having lower education level (beta = -0.14), and higher illness severity (beta = 0.15). Younger age (beta = 0.10) and higher illness severity (beta = -0.9) were independently associated with lower medication adherence. Income and gender did not influence medication adherence or beliefs about medications. The combined effect of variables tested in the model explained 24% of the variance in medication adherence. Medication adherence is a complex, multifaceted issue and patient beliefs about medications contribute significantly, although partially, to adherence among a multicultural Middle Eastern patient population.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 195 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 195 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 25 13%
Student > Ph. D. Student 19 10%
Student > Bachelor 18 9%
Researcher 10 5%
Lecturer 9 5%
Other 28 14%
Unknown 86 44%
Readers by discipline Count As %
Medicine and Dentistry 29 15%
Pharmacology, Toxicology and Pharmaceutical Science 22 11%
Nursing and Health Professions 22 11%
Psychology 7 4%
Computer Science 4 2%
Other 21 11%
Unknown 90 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 23 September 2018.
All research outputs
#7,359,319
of 25,385,509 outputs
Outputs from Patient preference and adherence
#528
of 1,757 outputs
Outputs of similar age
#121,065
of 345,739 outputs
Outputs of similar age from Patient preference and adherence
#18
of 56 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1,757 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.5. This one has gotten more attention than average, scoring higher than 68% 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 345,739 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.