↓ Skip to main content

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…

Overview of attention for article published in Trials, March 2013
Altmetric Badge

Mentioned by

twitter
3 X users

Citations

dimensions_citation
24 Dimensions

Readers on

mendeley
188 Mendeley
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.
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

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.
Mendeley readers

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%