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Examining the Quality of Medicines at Kenyan Healthcare Facilities: A Validation of an Alternative Post-Market Surveillance Model That Uses Standardized Patients

Overview of attention for article published in Drugs - Real World Outcomes, November 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#49 of 193)
  • Good Attention Score compared to outputs of the same age (78th percentile)

Mentioned by

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2 policy sources
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1 X user

Citations

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16 Dimensions

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80 Mendeley
Title
Examining the Quality of Medicines at Kenyan Healthcare Facilities: A Validation of an Alternative Post-Market Surveillance Model That Uses Standardized Patients
Published in
Drugs - Real World Outcomes, November 2016
DOI 10.1007/s40801-016-0100-7
Pubmed ID
Authors

Francis Wafula, Amy Dolinger, Benjamin Daniels, Njeri Mwaura, Guadalupe Bedoya, Khama Rogo, Ana Goicoechea, Jishnu Das, Bernard Olayo

Abstract

Promoting access to medicines requires concurrent efforts to strengthen quality assurance for sustained impact. Although problems of substandard and falsified medicines have been documented in low- and middle-income countries, reliable information on quality is rarely available. The aim of this study was to validate an alternative post-market surveillance model to complement existing models. The study used standardized patients or mystery clients (people recruited from the local community and trained to pose as real patients) to collect medicine samples after presenting a pre-specified condition. The patients presented four standardized conditions to 42 blinded facilities in Nairobi, Kenya, resulting in 166 patient-clinician interactions and dispensing of 300 medicines at facilities or nearby retail pharmacies. The medicine samples obtained thus resemble those that would be given to real patients. Sixty samples were selected from the 300, and sent for analysis at the Kenya National Quality Control Laboratory. Of these, ten (17%) did not comply with monograph specifications (three ibuprofen, two cetirizine, two amoxicillin/clavulanic acid combinations, and one each for prednisone, salbutamol and zinc). Five of the ten samples that failed had been inappropriately prescribed to patients who had presented symptoms of unstable angina. There was no association between medicine quality and ownership, size or location of the facilities. The study shows that the standardized patient model can provide insights into multiple dimensions of care, thus helping to link primary care encounters with medicine quality. Furthermore, it makes it possible to obtain medicines from blinded sellers, thus minimizing the risk of obtaining biased samples.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 80 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 18%
Researcher 12 15%
Student > Ph. D. Student 7 9%
Student > Postgraduate 4 5%
Student > Bachelor 4 5%
Other 10 13%
Unknown 29 36%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 14 18%
Medicine and Dentistry 10 13%
Social Sciences 7 9%
Nursing and Health Professions 4 5%
Economics, Econometrics and Finance 2 3%
Other 10 13%
Unknown 33 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 January 2022.
All research outputs
#4,669,803
of 23,400,864 outputs
Outputs from Drugs - Real World Outcomes
#49
of 193 outputs
Outputs of similar age
#91,300
of 418,544 outputs
Outputs of similar age from Drugs - Real World Outcomes
#4
of 4 outputs
Altmetric has tracked 23,400,864 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 193 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.9. This one has gotten more attention than average, scoring higher than 74% 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 418,544 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 78% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.