The purpose of this study was to determine whether exposure to m-health platforms promoting recommended breastfeeding practices was effective in transmitting the exclusive breastfeeding message to participant mothers, and in improving weight evolution of infants.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
HEALTH_SERVICES_RESEARCH
Masking
DOUBLE
Enrollment
100
Exposure to breastfeeding promoting SMSs
Participants were given a feature phone.
Exposure to virtual community communication via SMS
Number of Participants With Changes in Knowledge
Specifically, we were interested in: the number of participants who switched from an incorrect to a correct knowledge regarding exclusive breastfeeding during the experiment (learned the message); the number of participants who had a correct knowledge but switched to an incorrect one during the experiment (forgot the message); the number of participants who had an incorrect knowledge and kept it until the end of the experiment (continued to be unaware); the number of participants who had a correct knowledge and kept it until the end of the experiment (remembered the message).
Time frame: December 2013 - May 2014, 23 weeks
Qualitative Nature of Health-related Text-messages
Specifically, we were interested in classifying individual text-messages as social support or health related.
Time frame: December 2013 - May 2014, 23 weeks
Number of Text-messages Exchanged in Virtual Communities
We were interested in the activity of virtual communities in terms of sent text-messages.
Time frame: December 2013 - May 2014, 23 weeks
Mean Change in Weight-for-Age Z-score
We used the World Health Organization Anthro software (http://www.who.int/childgrowth/software/en/) to calculate z-scores for the weight-for-age anthropometric indicator of participants' infants at the beginning and at the end of the project. The software is based on the WHO Child Growth Standards and allowed to compare measurements of infants to the normal growth standards. The Z-score indicates the number of standard deviations away from the mean. The indicator is particularly useful to detect abnormal growth patterns in infants' development. For instance, an infant whose weight falls in the -2 z-score for the weight-for-age anthropometric indicator is underweight. Below -3, the child is severely underweight. Similarly, a child whose weight-for-age is above a +1 z-score may have a growth problem. We report the mean change of the z-scores for the weight-for-age anthropomorphic indicator of participants' babies.
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Exposure to virtual community and access to communications with health professional via SMS
Time frame: Baseline at December 2013 and 23 weeks later in May 2014