Data Collection

Mobile data collection is the use of mobile technology for surveys, surveillance and monitoring. These field activities may be well served by the portability, communication speed and computing capacity of mobile devices.Mobile data collection can draw from various sources. This section provides exemplary resources specifically on interviewer-administered and self-administered data collection.

Resources include guides on mobile data collection, planning considerations on evidence and lessons learned, as well as examples and evaluations of mobile data collection organized by type. At this early stage of mobile data collection, limited or mixed evidence is available for effectiveness in developing countries.To discuss these approaches or suggest other information sources, please go to the discussion board of the mHealth Toolkit. 

Guidelines For Adoption And Development

Planning Mobile Data Collection: Evidence And Lessons Learned

Interviewer-Administered Collection

Self-Administered Collection

Additional Information Sources For Data Collection

Guidelines for Adoption and Development

Guidelines for planning if and how to develop mobile data collection.
    2011 | FrontlineSMS | Pages: 60
    The purpose of this guide is to provide FrontlineSMS users designing, implementing, and monitoring programs with data integrity concerns in mind with a data integrity framework. The guide is intended to help users to understand, analyze, and address the vulnerabilities, risks and threats that can affect the integrity of the information communicated through the FrontlineSMS platform 
    2011 | Current Opinion in HIV and AIDS | 245-50 (6 pgs)
    PURPOSE OF REVIEW: In this review, we describe the challenges faced by using clinical cohorts to perform Monitoring and Evaluation (M&E) and the possible solutions for increasing and strengthening health systems in low-income and middle-income countries. RECENT FINDINGS: HIV scale-up has facilitated the transition from paper-based medical records to electronic medical records at hundreds of sites in most of the countries in sub-Saharan Africa and the implementation of national HIV databases.
    2009 | MobileActive
    Summary: This article looks at choosing a mobile data collection solution, from defining the information requirements to choosing the most appropriate technology strategy for a specific organizational context and communication environment. There is also a reviews of a selection of commercial and non-commercial tools and components for mobile data collection. 
    2009 | AED Satellife | Pages: 2
    This document is a needs-assessment for deteriming factors and logistics of a mobile data collection project. It determines the scope, skills, infrastructure, time frame, devices, and wireless services required for mobile data collection. 
    2002 | Proceedings AMIA Symposium | Pages: 12-16
    Abstract: We describe a handheld-based electronic medical record (EMR) for use in certain rural settings. The system is based on the Linux operating system and allows access to large mobile databases. The open source system is designed for paramedical health workers serving remote areas in rural India. A PDA loaded with the handheld-based EMR provides workers who have little access to medical doctors with different kinds of decision support and alerts. It addresses two important problems in developing countries: prenatal care and child health.

Planning Mobile Data Collection: Evidence and Lessons Learned (13 resources)

Summary and links for evidence and lessons learned in mobile data collection.

    Interviewer-Administered Collection

    This section displays resources on interviewer-administered or staff-administered data collection for surveys and surveillance.

    Self-Administered Collection

    This section displays resources on self-administered data collection for surveys.
      2010 | J Med Internet Res. 12: e64.
      Self-monitoring mental health and symptoms of associated disease have yielded many benefits. However, paper-based monitoring from patients is neither effective nor efficient. Mobile phone-monitoring has been explored as an alternative. The study investigates community reception of mobile phone use for self-management and monitoring of mental health. A mixed method approach was used to understand attitudes including in-depth interviews (n=20), focus-group discussions (n=47), and an online survey (n=525).
      2010 | Telemedicine Journal & eHealth | 603-607 (5 pp)
      The article assesses end-to-end remote blood-pressure monitoring of patients with chronic condition, as a result of increased prevalence in hypertension and diabetes. The end-to-end process in done in three steps including the mobile phone-based collection of blood pressure readings, clinicians receiving data on a web-based interface, and finally clinicians provides remote care to patients through assessment of  readers. The study found though that large-scale adoption in hospitals is not possible at this time due to constraints in resources. 
      2009 | European Journal of Epidemiology | Pages: 73-81
      Abstract: This study compared the use of Short Message Service (SMS) on mobile phones and the use of telephone interviews in collecting self-reported data about influenza vaccination. Through random selection from the Swedish population registry, 2,400 individuals were assigned to be contacted through SMS (SMS-group), and 2,150 were assigned to undergo personal telephone interviews (TI-group). Both groups were asked three questions about influenza and influenza vaccination.

    Additional Information Sources for Data Collection

    This is a list of peer-reviewed and grey sources for consideration in data collection.