Title
Adaptation of a web-based, open source electronic medical record system platform to support a large study of tuberculosis epidemiology
Date Issued
01 January 2012
Access level
open access
Resource Type
journal article
Author(s)
Fraser H.S.
Thomas D.
Tomaylla, Juan
Garcia, Nadia
Murray M.
Becerra M.C.
Publisher(s)
BioMed Central Ltd
Abstract
Background: In 2006, we were funded by the US National Institutes of Health to implement a study of tuberculosis epidemiology in Peru. The study required a secure information system to manage data from a target goal of 16,000 subjects who needed to be followed for at least one year. With previous experience in the development and deployment of web-based medical record systems for TB treatment in Peru, we chose to use the OpenMRS open source electronic medical record system platform to develop the study information system. Supported by a core technical and management team and a large and growing worldwide community, OpenMRS is now being used in more than 40 developing countries. We adapted the OpenMRS platform to better support foreign languages. We added a new module to support double data entry, linkage to an existing laboratory information system, automatic upload of GPS data from handheld devices, and better security and auditing of data changes. We added new reports for study managers, and developed data extraction tools for research staff and statisticians. Further adaptation to handle direct entry of laboratory data occurred after the study was launched. Results: Data collection in the OpenMRS system began in September 2009. By August 2011 a total of 9,256 participants had been enrolled, 102,274 forms and 13,829 laboratory results had been entered, and there were 208 users. The system is now entirely supported by the Peruvian study staff and programmers. Conclusions: The information system served the study objectives well despite requiring some significant adaptations mid-stream. OpenMRS has more tools and capabilities than it did in 2008, and requires less adaptations for future projects. OpenMRS can be an effective research data system in resource poor environments, especially for organizations using or considering it for clinical care as well as research. Ā© 2012 Fraser et al.; licensee BioMed Central Ltd.
Volume
12
Issue
1
Language
English
OCDE Knowledge area
Ciencias de la computación
EpidemiologĆa
IngenierĆa de sistemas y comunicaciones
Subjects
Scopus EID
2-s2.0-84868322071
PubMed ID
Source
BMC Medical Informatics and Decision Making
ISSN of the container
1472-6947
Sponsor(s)
We are grateful to the following individuals for their help with the OpenMRS system and the preparation of this report: Darius Jazayeri, Michael Seaton, Ben Wolfe, Jerome Galea, Sidney Atwood, Zibiao Zhang, Renee Orser and Jonathan Payne. The study and the development of the information system was funded by NIH grants numbers U01 AI057786 and U19 AI076217. Some components of OpenMRS described here were developed with the support of the Rockefeller Foundation. The funders had no role in the design of the system or the study, in the writing of the manuscript, or in the decision to submit the manuscript for publication.
Peru has the highest incidence of tuberculosis (TB) in South America and the eighth highest burden of multidrug-resistant TB (MDR-TB) in the world [1]. Despite demonstrated success in the treatment of MDR-TB with an outpatient approach [2], it remains a problem in metropolitan Lima. Important questions remain about containing further spread of drug-resistant TB in high burden settings of this sort. In 2006, we were funded by the United States National Institutes of Health (NIH) to implement a study of tuberculosis epidemiology in Peru to determine mechanisms of MDR-TB transmission (Grant numbers: U01 AI057786, U19 AI076217). Implementing this study required a secure information system that would collect data from a target goal of 16,000 subjects, each followed for at least one year.
Sources of information:
Directorio de Producción CientĆfica
Scopus