| 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. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 64 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 7 | 11% |
| Student > Ph. D. Student | 6 | 9% |
| Student > Master | 6 | 9% |
| Student > Doctoral Student | 6 | 9% |
| Student > Postgraduate | 4 | 6% |
| Other | 12 | 19% |
| Unknown | 23 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 12 | 19% |
| Medicine and Dentistry | 11 | 17% |
| Nursing and Health Professions | 6 | 9% |
| Computer Science | 4 | 6% |
| Unspecified | 1 | 2% |
| Other | 3 | 5% |
| Unknown | 27 | 42% |
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
#20,663,600
of 25,385,509 outputs
Outputs from Clinical Interventions in Aging
#1,550
of 1,968 outputs
Outputs of similar age
#265,424
of 341,886 outputs
Outputs of similar age from Clinical Interventions in Aging
#37
of 44 outputs
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