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X Demographics
Mendeley readers
Title |
From assessment to improvement of elderly care in general practice using decision support to increase adherence to ACOVE quality indicators: study protocol for randomized control trial
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Published in |
Trials, March 2014
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DOI | 10.1186/1745-6215-15-81 |
Pubmed ID | |
Authors |
Saeid Eslami, Marjan Askari, Stephanie Medlock, Derk L Arts, Jeremy C Wyatt, Henk CPM van Weert, Sophia E de Rooij, Ameen Abu-Hanna |
Abstract |
Previous efforts such as Assessing Care of Vulnerable Elders (ACOVE) provide quality indicators for assessing the care of elderly patients, but thus far little has been done to leverage this knowledge to improve care for these patients. We describe a clinical decision support system to improve general practitioner (GP) adherence to ACOVE quality indicators and a protocol for investigating impact on GPs' adherence to the rules. |
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 % |
---|---|---|
Argentina | 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 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 1% |
Switzerland | 1 | 1% |
Unknown | 80 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 16 | 20% |
Student > Master | 14 | 17% |
Student > Ph. D. Student | 10 | 12% |
Student > Postgraduate | 8 | 10% |
Student > Doctoral Student | 4 | 5% |
Other | 15 | 18% |
Unknown | 15 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 23 | 28% |
Nursing and Health Professions | 10 | 12% |
Computer Science | 5 | 6% |
Social Sciences | 5 | 6% |
Psychology | 5 | 6% |
Other | 14 | 17% |
Unknown | 20 | 24% |