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

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. When a child-health...

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Vydáno v:The Pediatric infectious disease journal Ročník 35; číslo 5 Suppl 1; s. S35
Hlavní autoři: Islam, Mohammad Shahidul, Rahman, Qazi Sadeq-ur, Hossain, Tanvir, Connor, Nicholas E, Hossain, Belal, Rahman, Md Mahmudur, Neogi, Ranjan, Saha, Samir K, El Arifeen, Shams
Médium: Journal Article
Jazyk:angličtina
Vydáno: United States 01.05.2016
Témata:
Asia, Western - epidemiology
Data Collection
Epidemiological Monitoring
Female
Humans
Incidence
Infant
Infant, Newborn
Male
Neonatal Sepsis - epidemiology
Neonatal Sepsis - etiology
Risk Factors
Rural Population
Specimen Handling - methods
Text Messaging
Time Factors
Urban Population
ISSN:1532-0987, 1532-0987
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Shrnutí: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. 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. 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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ISSN:1532-0987
1532-0987
DOI:10.1097/INF.0000000000001104