Smartphone based interface for epidemic surveillance system

Farooq, Muhammad Umar; Ayyaz, A.; Awan, Shahid Mehmood; Shakoor, Aamna

doi:10.1109/icosst.2015.7396412

Cited by 3 publications

(3 citation statements)

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“…The increasing computing power, affordability and availability of mobile phones have made their use feasible and effective as an alternative to paper questionnaires in low-income settings. We reviewed literature describing experiences with developing and implementing Electronic Data Capture (EDC) systems in low- and middle-income countries (LMICs) in the past 10 years (search strategy available in Supplemental Appendix 1) and found that mobile devices are widely used in LMICs for healthcare delivery (mHealth) [ 1 – 8 ] including disease surveillance and control [ 9 – 15 ], epidemiological surveys [ 16 – 21 ], other research studies [ 22 – 24 ], remote data collection and monitoring [ 25 – 28 ] and public planning and mapping [ 29 ].…”

Section: Introductionmentioning

confidence: 99%

“…For example, basic phones transmitting coded SMS messages using software such as FrontlineSMS were used for simple information or event notification [ 33 – 35 ], and transmission of Global Positioning System (GPS) coordinates was used for mapping [ 27 , 35 ]. Smartphones (or handheld computers) were used to collect more complex data [ 4 , 14 , 15 ]. Mobile phone questionnaire software used included open-source or free-to-use options such as Open Data Kit collect (ODK) [ 4 , 15 , 26 , 27 ], Epicollect [ 15 , 27 ], EpiInfo [ 21 ] and CommCare [ 2 , 3 , 28 ], or commercial software such as Pendragon Forms [ 16 , 17 , 25 ] and Questionnaire Development System [ 22 ].…”

Section: Introductionmentioning

confidence: 99%

“…Smartphones (or handheld computers) were used to collect more complex data [ 4 , 14 , 15 ]. Mobile phone questionnaire software used included open-source or free-to-use options such as Open Data Kit collect (ODK) [ 4 , 15 , 26 , 27 ], Epicollect [ 15 , 27 ], EpiInfo [ 21 ] and CommCare [ 2 , 3 , 28 ], or commercial software such as Pendragon Forms [ 16 , 17 , 25 ] and Questionnaire Development System [ 22 ]. Others programmed custom-made systems [ 4 , 11 , 30 , 31 ].…”

Section: Introductionmentioning

confidence: 99%

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Experiences in running a complex electronic data capture system using mobile phones in a large-scale population trial in southern Nepal

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Harris‐Fry

et al. 2017

Global Health Action

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The increasing availability and capabilities of mobile phones make them a feasible means of data collection. Electronic Data Capture (EDC) systems have been used widely for public health monitoring and surveillance activities, but documentation of their use in complicated research studies requiring multiple systems is limited. This paper shares our experiences of designing and implementing a complex multi-component EDC system for a community-based four-armed cluster-Randomised Controlled Trial in the rural plains of Nepal, to help other researchers planning to use EDC for complex studies in low-income settings. We designed and implemented three interrelated mobile phone data collection systems to enrol and follow-up pregnant women (trial participants), and to support the implementation of trial interventions (women’s groups, food and cash transfers). 720 field staff used basic phones to send simple coded text messages, 539 women’s group facilitators used Android smartphones with Open Data Kit Collect, and 112 Interviewers, Coordinators and Supervisors used smartphones with CommCare. Barcoded photo ID cards encoded with participant information were generated for each enrolled woman. Automated systems were developed to download, recode and merge data for nearly real-time access by researchers. The systems were successfully rolled out and used by 1371 staff. A total of 25,089 pregnant women were enrolled, and 17,839 follow-up forms completed. Women’s group facilitators recorded 5717 women’s groups and the distribution of 14,647 food and 13,482 cash transfers. Using EDC sped up data collection and processing, although time needed for programming and set-up delayed the study inception. EDC using three interlinked mobile data management systems (FrontlineSMS, ODK and CommCare) was a feasible and effective method of data capture in a complex large-scale trial in the plains of Nepal. Despite challenges including prolonged set-up times, the systems met multiple data collection needs for users with varying levels of literacy and experience.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Experiences in running a complex electronic data capture system using mobile phones in a large-scale population trial in southern Nepal

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Beard

Harris‐Fry

et al. 2017

Global Health Action

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Exploratory Study on Occupational Health and Work Environment Among Waste Management Workers in Kerala

Panicker

Emmatty

2022

Design Science and Innovation

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Development of an Electronic Data Collection System to Support a Large-Scale HIV Behavioral Intervention Trial: Protocol for an Electronic Data Collection System

et al. 2018

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BackgroundAdvancing technology has increased functionality and permitted more complex study designs for behavioral interventions. Investigators need to keep pace with these technological advances for electronic data capture (EDC) systems to be appropriately executed and utilized at full capacity in research settings. Mobile technology allows EDC systems to collect near real-time data from study participants, deliver intervention directly to participants’ mobile devices, monitor staff activity, and facilitate near real-time decision making during study implementation.ObjectiveThis paper presents the infrastructure of an EDC system designed to support a multisite HIV biobehavioral intervention trial in Los Angeles and New Orleans: the Adolescent Medicine Trials Network “Comprehensive Adolescent Research & Engagement Studies” (ATN CARES). We provide an overview of how multiple EDC functions can be integrated into a single EDC system to support large-scale intervention trials.MethodsThe CARES EDC system is designed to monitor and document multiple study functions, including, screening, recruitment, retention, intervention delivery, and outcome assessment. Text messaging (short message service, SMS) and nearly all data collection are supported by the EDC system. The system functions on mobile phones, tablets, and Web browsers.ResultsATN CARES is enrolling study participants and collecting baseline and follow-up data through the EDC system. Besides data collection, the EDC system is being used to generate multiple reports that inform recruitment planning, budgeting, intervention quality, and field staff supervision. The system is supporting both incoming and outgoing text messages (SMS) and offers high-level data security. Intervention design details are also influenced by EDC system platform capabilities and constraints. Challenges of using EDC systems are addressed through programming updates and training on how to improve data quality.ConclusionsThere are three key considerations in the development of an EDC system for an intervention trial. First, it needs to be decided whether the flexibility provided by the development of a study-specific, in-house EDC system is needed relative to the utilization of an existing commercial platform that requires less in-house programming expertise. Second, a single EDC system may not provide all functionality. ATN CARES is using a main EDC system for data collection, text messaging (SMS) interventions, and case management and a separate Web-based platform to support an online peer support intervention. Decisions need to be made regarding the functionality that is crucial for the EDC system to handle and what functionality can be handled by other systems. Third, data security is a priority but needs to be balanced with the need for flexible intervention delivery. For example, ATN CARES is delivering text messages (SMS) to study participants’ mobile phones. EDC data security protocols should be developed under guidance from security experts and with formative consulting with the targ...

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Smartphone based interface for epidemic surveillance system

Cited by 3 publications

References 4 publications

Experiences in running a complex electronic data capture system using mobile phones in a large-scale population trial in southern Nepal

Experiences in running a complex electronic data capture system using mobile phones in a large-scale population trial in southern Nepal

Exploratory Study on Occupational Health and Work Environment Among Waste Management Workers in Kerala

Development of an Electronic Data Collection System to Support a Large-Scale HIV Behavioral Intervention Trial: Protocol for an Electronic Data Collection System

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