Using Text Messages for Critical Real-time Data Capture in the ANISA Study.

Mohammad Shahidul Islam; Qazi Sadeq-ur Rahman; Tanvir Hossain; Nicholas E Connor ORCID logo; Belal Hossain; Md Mahmudur Rahman; Ranjan Neogi; Samir K Saha; Shams El Arifeen; (2016) Using Text Messages for Critical Real-time Data Capture in the ANISA Study. PEDIATRIC INFECTIOUS DISEASE JOURNAL, 35 (5 Supp). S35-S38. ISSN 0891-3668 DOI: 10.1097/INF.0000000000001104
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BACKGROUND: The Aetiology of Neonatal Infection in South Asia (ANISA) study takes advantage of text messaging technology to record information required for randomizing the study population into a control subcohort. The text message system is also used for monitoring various study activities. METHODS: When a child-health worker registers a newborn in the study, she sends a text message to a database server containing the study identification number and newborn's age at the time of registration. For each possible serious bacterial infection case, a study physician also sends a text message to the same server with the age of the young infant at the time of illness assessment. Using this information, a computer-based algorithm randomizes the newborn into a control subcohort. Text messages are also sent to alert the study physicians and study supervisors of a possible serious bacterial infection case being referred to health-care facilities. Phlebotomists working at remote specimen collection sites send text messages to the site laboratory personnel before sending the specimens through porters. DISCUSSION: Real-time data entry and monitoring are challenging for any population-based study conducted in remote areas. Our text messaging system provides an opportunity to overcome this barrier where availability of data entry facilities is limited.


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