↓ Skip to main content

PLOS

Capacity-Building and Clinical Competence in Infectious Disease in Uganda: A Mixed-Design Study with Pre/Post and Cluster-Randomized Trial Components

Overview of attention for article published in PLOS ONE, December 2012
Altmetric Badge

Mentioned by

twitter
2 X users

Citations

dimensions_citation
27 Dimensions

Readers on

mendeley
145 Mendeley
Title
Capacity-Building and Clinical Competence in Infectious Disease in Uganda: A Mixed-Design Study with Pre/Post and Cluster-Randomized Trial Components
Published in
PLOS ONE, December 2012
DOI 10.1371/journal.pone.0051319
Pubmed ID
Authors

Marcia R. Weaver, Ian Crozier, Simon Eleku, Gyaviira Makanga, Lydia Mpanga Sebuyira, Janepher Nyakake, MaryLou Thompson, Kelly Willis

Abstract

Best practices for training mid-level practitioners (MLPs) to improve global health-services are not well-characterized. Two hypotheses were: 1) Integrated Management of Infectious Disease (IMID) training would improve clinical competence as tested with a single arm, pre-post design, and 2) on-site support (OSS) would yield additional improvements as tested with a cluster-randomized trial.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 145 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
United States 1 <1%
Brazil 1 <1%
Unknown 142 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 26 18%
Student > Master 23 16%
Student > Ph. D. Student 13 9%
Student > Bachelor 11 8%
Student > Doctoral Student 9 6%
Other 34 23%
Unknown 29 20%
Readers by discipline Count As %
Medicine and Dentistry 45 31%
Social Sciences 15 10%
Nursing and Health Professions 15 10%
Unspecified 7 5%
Agricultural and Biological Sciences 6 4%
Other 18 12%
Unknown 39 27%