Background It is estimated that one third of maternal deaths in Kenya in
2014 could have been prevented by more timely care-seeking. Mobile health
interventions are increasingly being recognized as tools for the delivery
of health education and promotion. Many maternal deaths occur in the first
few weeks after delivery and mothers who are given adequate care in the
postpartum period have better health outcomes. Kiambu County, Kenya has a
high level of literacy and phone ownership amongst mothers delivering in
public hospitals and was chosen as a site for a postpartum short message
service intervention.
Methods
Women were recruited
after delivery and randomized to receive a package of mobile messages or
standard of care only. Messages covered danger signs, general postpartum
topics, and family planning. Endline phone surveys were conducted at 8
weeks postpartum to assess knowledge, care seeking behavior and family
planning uptake. Analysis was conducted using Stata and is presented in
odds ratios.
Results Women who
received the danger sign messages were 1.6 times more likely to be able to
list at least 1 danger sign and 3.51 times more likely to seek treatment
if they experienced postpartum danger signs. There was no significant
difference in routine postpartum care seeking or care seeking behaviors
concerning newborns. Women who received family planning messages were 1.85
times more likely to uptake family planning services compared to controls
and 2.1 times more likely to choose a longacting method. Conclusions
Simple, low-cost mobile interventions can support women in the early
postpartum period when the information is targeted to particular points in
the postpartum continuum. Additional research is needed to understand the
interplay between healthcare providers and mobile health interventions.
Health policy makers should consider direct mobile interventions for women
as an option for supporting positive maternal health outcomes in certain
populations. Enrollment took place over 5 months, beginning in November 2017
and concluded in March 2018 at three public hospitals in Kiambu County,
Kenya. Research assistants approached all eligible women on the day they
would be discharged from the facility after giving birth and gave them
information describing the study. If a woman consented to participate, she
completed the in-person baseline survey administered by a research
assistant at the hospital before discharge and was enrolled in the study.
Endline survey data was collected 8 weeks after discharge through a phone
survey. Endline data collection concluded in May 2018. All hospitals were
enrolling simultaneously during the enrollment period. Survey data were
recorded on a tablet using SurveyCTO software (2016 Dobility, Inc, 225
Cambridge, MA). Calls were attempted 4 times before the participant was
deemed unreachable. The dataset was processed so that
the baseline and endline data is contained in the final dataset and linked
by a unique identifier ("case_id"). The dataset was processed in
STATA 13. We removed potentially identifiable information (such as age,
residential location, hospital names, unique health issues, and
comments) and added a small random number of days (less than 7) to all
dates to further de-identify any care-seeking behavior, delivery dates,
and survey dates. The variable names are used in the first Excel tab, and
the labels (survey question) is provided in the 2nd tab
("Labels").