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Estimating the cost of unclaimed electronic prescriptions at an independent pharmacy

Overview of attention for article published in Journal of the American Pharmaceutical Association, January 2016
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Article details
Title
Estimating the cost of unclaimed electronic prescriptions at an independent pharmacy
Published in
Journal of the American Pharmaceutical Association, January 2016
DOI 10.1016/j.japh.2015.11.005
Pubmed ID
Authors
Abstract

The increasing rate of e-prescribing is associated with a significant number of unclaimed prescriptions. The costs of unclaimed e-prescriptions could create an unwanted burden on community pharmacy practices. The objective of this study was to calculate the rate and costs of filled but unclaimed e-prescriptions at an independent pharmacy. This study was performed at a rural independent pharmacy in a Midwestern state. The rate and costs of the unclaimed e-prescriptions were determined by collecting information about all unclaimed e-prescriptions for a 6-month period from August 2013 to January 2014. The costs of unclaimed prescriptions included those expenses incurred to prepare the prescription, contact the patient, and return the unclaimed prescription to inventory. Two sensitivity analyses were conducted. The total cost of 147 unclaimed e-prescriptions equaled $3,677.70 for the study period. Thus, the monthly cost of unclaimed e-prescriptions was $612.92 and the average cost of each unclaimed prescription was $25.02. The sensitivity analyses showed that using a technician to perform prescription return tasks reduced average costs to $19.33 and that using a state Medicaid cost of dispensing resulted in average costs of $18.54 per prescription. The rate of unclaimed e-prescriptions was 0.82%. The percentage of unclaimed e-prescriptions in this pharmacy was less than 1%. In addition to increased cost, unclaimed e-prescriptions add inefficiency to the work flow of the pharmacy staff, which can limit the time that they are available for performing revenue-generating activities. Adjustments to work flow and insurer policies could help to reduce the burden of unclaimed e-prescriptions.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Doctoral Student 4 14%
Student > Bachelor 4 14%
Student > Master 4 14%
Student > Ph. D. Student 3 11%
Lecturer > Senior Lecturer 2 7%
Other 5 18%
Unknown 6 21%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 6 21%
Pharmacology, Toxicology and Pharmaceutical Science 4 14%
Nursing and Health Professions 2 7%
Immunology and Microbiology 2 7%
Biochemistry, Genetics and Molecular Biology 1 4%
Other 3 11%
Unknown 10 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 05 March 2016.
All research outputs
#28,597,744
of 34,357,314 outputs
Outputs from Journal of the American Pharmaceutical Association
#1,844
of 2,205 outputs
Outputs of similar age
#350,030
of 446,114 outputs
Outputs of similar age from Journal of the American Pharmaceutical Association
#17
of 19 outputs
Altmetric has tracked 34,357,314 research outputs across all sources so far. This one is in the 9th percentile – i.e., 9% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,205 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.2. This one is in the 3rd percentile – i.e., 3% 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 446,114 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.