You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Title |
Effectiveness of medicines review with web-based pharmaceutical treatment algorithms in reducing potentially inappropriate prescribing in older people in primary care: a cluster randomized trial (OPTI-SCRIPT study protocol)
|
---|---|
Published in |
Trials, March 2013
|
DOI | 10.1186/1745-6215-14-72 |
Pubmed ID | |
Authors |
Barbara Clyne, Marie C Bradley, Susan M Smith, Carmel M Hughes, Nicola Motterlini, Daniel Clear, Ronan McDonnell, David Williams, Tom Fahey |
Abstract |
Potentially inappropriate prescribing in older people is common in primary care and can result in increased morbidity, adverse drug events, hospitalizations and mortality. In Ireland, 36% of those aged 70 years or over received at least one potentially inappropriate medication, with an associated expenditure of over €45 million.The main objective of this study is to determine the effectiveness and acceptability of a complex, multifaceted intervention in reducing the level of potentially inappropriate prescribing in primary care. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Ireland | 2 | 67% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 67% |
Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 188 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 1% |
Ireland | 1 | <1% |
Switzerland | 1 | <1% |
Brazil | 1 | <1% |
United States | 1 | <1% |
Unknown | 182 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 29 | 15% |
Researcher | 25 | 13% |
Student > Master | 25 | 13% |
Student > Postgraduate | 15 | 8% |
Student > Bachelor | 15 | 8% |
Other | 55 | 29% |
Unknown | 24 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 71 | 38% |
Pharmacology, Toxicology and Pharmaceutical Science | 27 | 14% |
Nursing and Health Professions | 15 | 8% |
Social Sciences | 10 | 5% |
Computer Science | 6 | 3% |
Other | 22 | 12% |
Unknown | 37 | 20% |