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Assessment of prescribing potentially inappropriate medications listed in Beers criteria and its association with the unplanned hospitalization: a cross-sectional study in Lahore, Pakistan

Overview of attention for article published in Clinical Interventions in Aging, August 2018
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Title
Assessment of prescribing potentially inappropriate medications listed in Beers criteria and its association with the unplanned hospitalization: a cross-sectional study in Lahore, Pakistan
Published in
Clinical Interventions in Aging, August 2018
DOI 10.2147/cia.s173942
Pubmed ID
Authors

Muhammad Rehan Sarwar, Abdur-Rehman Dar, Saad Yousaf Mahar, Tayyab Riaz, Usman Danish, Sadia Iftikhar

Abstract

Due to physiological and pharmacological variations, geriatrics are at high risk of experiencing life-threatening outcomes related to the use of potentially inappropriate medications (PIMs). Thus, the present study aims to evaluate prescribing practices of PIMs among elderly patients who may lead to unplanned hospitalization and associated risk factors. A cross-sectional study was conducted in different hospitals of Lahore, Pakistan. The study population consisted of geriatric patients aged ≥65 years. Data were collected from the medical records of geriatric patients, who attended these selected hospitals between December 1, 2017, and February 28, 2018. Data were analyzed using SPSS (IBM SPSS Statistics for Windows, Version 21.0) and Microsoft Excel (MS Office 2010). The records of 385 geriatric patients were investigated. More than half (60.8%) of the patients were subjected to polypharmacy, which can be defined as the utilization of 5-9 drugs by the patient at the same time, whereas 36.4% were prescribed with one PIM and 56.4% were hospitalized due to PIMs. Majority of them were prescribed with PIMs including N02BA01 (aspirin, 32.4%), A02BC01 (omeprazole, 23.6%), A10AB02 (insulin, 17.4%), A02BC05 (esomeprazole, 8.5%), C08CA01 (amlodipine, 8.3%), and R06AA02 (diphenhydramine, 5.9%). Results of regression analysis revealed that patients exposed to polypharmacy (OR=2.556, 95% CI=1.579-4.135, P-value≤0.001) and excessive polypharmacy (OR=37.828, 95% CI=4.754-300.9, P-value≤0.001) were significantly associated with unplanned hospitalization, whereas factors such as age 75-84 years (OR=0.343, 95% CI=0.156-0.756, P-value=0.008) and polypharmacy (OR=2.480, 95% CI=1.219-5.048, P-value=0.012) were significantly correlated with PIMs. The utilization of PIMs listed in Beers criteria among geriatric population can cause unplanned hospitalization. As the patients receiving polypharmacy are at high risk of unplanned hospitalization, so caution must be exercised in prescribing PIMs for elderly people.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 7 17%
Student > Ph. D. Student 6 15%
Student > Master 4 10%
Other 4 10%
Student > Bachelor 4 10%
Other 8 20%
Unknown 8 20%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 10 24%
Medicine and Dentistry 9 22%
Nursing and Health Professions 4 10%
Computer Science 2 5%
Psychology 1 2%
Other 3 7%
Unknown 12 29%

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 04 September 2018.
All research outputs
#10,714,691
of 13,465,538 outputs
Outputs from Clinical Interventions in Aging
#1,112
of 1,376 outputs
Outputs of similar age
#198,417
of 264,699 outputs
Outputs of similar age from Clinical Interventions in Aging
#18
of 19 outputs
Altmetric has tracked 13,465,538 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,376 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one is in the 7th percentile – i.e., 7% 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 264,699 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% 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 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.