Implementation Outcomes Assessment of a Digital Clinical Support Tool for Intrapartum Care in Rural Kenya: An Observational Analysis (Preprint)
BACKGROUND To support quality of care improvements, iDeliver, a digital clinical support system for maternal and neonatal care, was developed. OBJECTIVE Taking an implementation research lens, we evaluated the adoption and fidelity of iDeliver and assessed the feasibility of its use to provide routine Ministry of Health reports. METHODS We analyzed routinely collected data from the iDeliver implemented at Trans Mara West sub-county Hospital (Kenya), from December 2018 to October 2020. To evaluate its adoption, we assessed the proportion of total facility deliveries over time. To examine the fidelity of iDeliver usage, we studied data completion to assess the plausibility of data entry by care providers during each stage of the labor and delivery workflow and if the usage reflected iDeliver’s envisioned function. We also examined the data completeness of maternal and neonatal indicators prioritized by the Kenyan Ministry of Health. RESULTS 1164 deliveries were registered in iDeliver, capturing 47.3% of the facility’s deliveries over 22 months. Registration improved significantly from 32.3% in the first to 62.2% in the second phase of implementation (P=0.003). Across iDeliver’s workflow, the overall completion rate of all variables improved significantly from 34.1% to 48.0% in the second phase (P<0.001). Data completion was highest for the Discharge-Labor Summary (67.7%) and was lowest for Labor Signs (14.4%). The completion rate of the key Ministry of Health indicators also improved significantly (P<0.001). CONCLUSIONS iDeliver’s adoption and data completeness improved significantly over time. Assessment of iDeliver’ usage fidelity suggested that some features were more easily utilized because providers had time to enter data, versus lower utilization during active childbirth when providers are necessarily engaged with the woman and baby. These insights on the adoption and fidelity of iDeliver usage prompted the team to adapt the application to reflect the users’ culture of use and further improve the implementation of iDeliver. CLINICALTRIAL newborn; neonatal health; maternal health; intrapartum care; labor and delivery; Kenya; digital clinical decision support; health information systems; digital health; implementation research