| Title |
Prescription pattern and prevalence of potentially inappropriate medications among elderly patients in a Nigerian rural tertiary hospital
|
|---|---|
| Published in |
Therapeutics and Clinical Risk Management, March 2013
|
| DOI | 10.2147/tcrm.s40120 |
| Pubmed ID | |
| Authors |
Joseph O Fadare, Segun Matthew Agboola, Olumide Augustine Opeke, Rachel A Alabi |
| Abstract |
Polypharmacy and inappropriate prescriptions are prominent prescribing issues with elderly patients. Beers criteria and other guidelines have been developed to assist in the reduction of potentially inappropriate medications prescribed to elderly patients. The objectives of this study were to assess the prescribing pattern for elderly Nigerian outpatients and estimate the prevalence of potentially inappropriate medications among them using the Beers criteria. |
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 % |
|---|---|---|
| Sweden | 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 144 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 1% |
| Spain | 1 | <1% |
| Unknown | 141 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Postgraduate | 30 | 21% |
| Student > Master | 27 | 19% |
| Student > Bachelor | 14 | 10% |
| Student > Doctoral Student | 11 | 8% |
| Student > Ph. D. Student | 11 | 8% |
| Other | 26 | 18% |
| Unknown | 25 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 57 | 40% |
| Pharmacology, Toxicology and Pharmaceutical Science | 31 | 22% |
| Nursing and Health Professions | 6 | 4% |
| Agricultural and Biological Sciences | 4 | 3% |
| Biochemistry, Genetics and Molecular Biology | 3 | 2% |
| Other | 14 | 10% |
| Unknown | 29 | 20% |
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 08 January 2023.
All research outputs
#7,960,512
of 25,374,917 outputs
Outputs from Therapeutics and Clinical Risk Management
#410
of 1,323 outputs
Outputs of similar age
#63,865
of 206,326 outputs
Outputs of similar age from Therapeutics and Clinical Risk Management
#6
of 13 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 1,323 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one has gotten more attention than average, scoring higher than 67% 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 206,326 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 67% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.