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BACKGROUND An effective data collection method is crucial for high quality monitoring of health interventions. The traditional face-to-face data collection method is labor intensive, expensive, and time consuming. With the rapid increase of mobile phone subscribers, text messaging has the potential to be used for evaluation of population health(More)
BACKGROUND Face-to-face interviews by trained field workers are commonly used in household surveys. However, this data collection method is labor-intensive, time-consuming, expensive, prone to interviewer and recall bias and not easily scalable to increase sample representativeness. OBJECTIVE To explore the feasibility of using text messaging to collect(More)
INTRODUCTION To capitalise on mHealth, we need to understand the use of mobile phones both in daily life and for health care. OBJECTIVE To assess the prevalence and factors that influence usage of mobile phones by caregivers of young children. MATERIALS AND METHODS A mixed methods approach was used, whereby a survey (N=1854) and semi-structured(More)
BACKGROUND Effective interventions in maternal, newborn and child health (MNCH), if achieving high level of population coverage, could prevent most of deaths in children under five years of age. High-quality measurements of MNCH coverage are essential for tracking progress and making evidence-based decisions. METHODS MNCH coverage data are mainly(More)
OBJECTIVE To test the effectiveness of multiple interventions on increasing the response rate of text messaging for longitudinal data collection. METHODS Our cohort included 283 caregivers of children aged 6-12 months who were participating in an anemia program in rural China. Using text messages to collect data on anemia medication adherence, we(More)
BACKGROUND Although good progress has been achieved in expanding immunization of children in China, disparities exist across different provinces. Information gaps both from the service supply and demand sides hinder timely vaccination of children in rural areas. The rapid development of mobile health technology (mHealth) provides unprecedented opportunities(More)
BACKGROUND An important issue for mHealth evaluation is the lack of information for sample size calculations. OBJECTIVE To explore factors that influence sample size calculations for mHealth-based studies and to suggest strategies for increasing the participation rate. METHODS We explored factors influencing recruitment and follow-up of participants(More)
BACKGROUND We set up a collaboration between researchers in China and the UK that aimed to explore the use of mHealth in China. This is the first paper in a series of papers on a large mHealth project part of this collaboration. This paper included the aims and objectives of the mHealth project, our field site, and the detailed methods of two studies. (More)
BACKGROUND The aim of this study was to assess the effectiveness of an EPI smartphone application (EPI app) on improving vaccination coverage in rural Sichuan Province, China. METHODS This matched-pair cluster randomized controlled study included 32 village doctors, matched in 16 pairs, and took place from 2013 to 2015. Village doctors in the intervention(More)