Title |
Implementation of Provider-Based Electronic Medical Records and Improvement of the Quality of Data in a Large HIV Program in Sub-Saharan Africa
|
---|---|
Published in |
PLOS ONE, December 2012
|
DOI | 10.1371/journal.pone.0051631 |
Pubmed ID | |
Authors |
Barbara Castelnuovo, Agnes Kiragga, Victor Afayo, Malisa Ncube, Richard Orama, Stephen Magero, Peter Okwi, Yukari C. Manabe, Andrew Kambugu |
Abstract |
Starting in June 2010 the Infectious Diseases Institute (IDI) clinic (a large urban HIV out-patient facility) switched to provider-based Electronic Medical Records (EMR) from paper EMR entered in the database by data-entry clerks. Standardized clinics forms were eliminated but providers still fill free text clinical notes in physical patients' files. The objective of this study was to compare the rate of errors in the database before and after the introduction of the provider-based EMR. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 50% |
Canada | 1 | 25% |
Switzerland | 1 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 75% |
Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 141 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Ethiopia | 1 | <1% |
South Africa | 1 | <1% |
United Kingdom | 1 | <1% |
Ukraine | 1 | <1% |
Canada | 1 | <1% |
Nigeria | 1 | <1% |
Unknown | 135 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 28 | 20% |
Researcher | 21 | 15% |
Student > Ph. D. Student | 20 | 14% |
Student > Postgraduate | 10 | 7% |
Student > Bachelor | 8 | 6% |
Other | 22 | 16% |
Unknown | 32 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 48 | 34% |
Computer Science | 18 | 13% |
Social Sciences | 10 | 7% |
Nursing and Health Professions | 5 | 4% |
Business, Management and Accounting | 5 | 4% |
Other | 14 | 10% |
Unknown | 41 | 29% |