Title |
Engineering practice variation through provider agreement: a cluster-randomized feasibility trial
|
---|---|
Published in |
Therapeutics and Clinical Risk Management, October 2014
|
DOI | 10.2147/tcrm.s69878 |
Pubmed ID | |
Authors |
Madeline McCarren, Elaine L Twedt, Faizmohamed M Mansuri, Philip R Nelson, Brian T Peek |
Abstract |
Minimal-risk randomized trials that can be embedded in practice could facilitate learning health-care systems. A cluster-randomized design was proposed to compare treatment strategies by assigning clusters (eg, providers) to "favor" a particular drug, with providers retaining autonomy for specific patients. Patient informed consent might be waived, broadening inclusion. However, it is not known if providers will adhere to the assignment or whether institutional review boards will waive consent. We evaluated the feasibility of this trial design. |
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 % |
---|---|---|
United Kingdom | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 29 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 6 | 21% |
Student > Master | 5 | 17% |
Researcher | 3 | 10% |
Student > Bachelor | 2 | 7% |
Other | 2 | 7% |
Other | 3 | 10% |
Unknown | 8 | 28% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 9 | 31% |
Nursing and Health Professions | 4 | 14% |
Psychology | 3 | 10% |
Social Sciences | 2 | 7% |
Computer Science | 1 | 3% |
Other | 2 | 7% |
Unknown | 8 | 28% |
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 24 November 2014.
All research outputs
#20,656,161
of 25,374,647 outputs
Outputs from Therapeutics and Clinical Risk Management
#1,070
of 1,323 outputs
Outputs of similar age
#194,491
of 265,638 outputs
Outputs of similar age from Therapeutics and Clinical Risk Management
#7
of 12 outputs
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