Abstract:
Background: Despite strong efforts to improve maternal care, its quality remains deficient in many countries of
Sub-Saharan Africa as persistently high maternal mortality rates testify. The QUALMAT study seeks to improve the
performance and motivation of rural health workers and ultimately quality of primary maternal health care services
in three African countries Burkina Faso, Ghana, and Tanzania. One major intervention is the introduction of a
computerized Clinical Decision Support System (CDSS) for rural primary health care centers to be used by health
care workers of different educational levels.
Methods: A stand-alone, java-based software, able to run on any standard hardware, was developed based on assessment
of the health care situation in the involved countries. The software scope was defined and the final software was
programmed under consideration of test experiences. Knowledge for the decision support derived from the World Health
Organization (WHO) guideline “Pregnancy, Childbirth, Postpartum and Newborn Care; A Guide for Essential Practice”.
Results: The QUALMAT CDSS provides computerized guidance and clinical decision support for antenatal care, and care
during delivery and up to 24 hours post delivery. The decision support is based on WHO guidelines and designed using
three principles: (1) Guidance through routine actions in maternal and perinatal care, (2) integration of clinical data to
detect situations of concern by algorithms, and (3) electronic tracking of peri- and postnatal activities. In addition, the tool
facilitates patient management and is a source of training material. The implementation of the software, which is
embedded in a set of interventions comprising the QUALMAT study, is subject to various research projects assessing and
quantifying the impact of the CDSS on quality of care, the motivation of health care staff (users) and its health economic
aspects. The software will also be assessed for its usability and acceptance, as well as for its influence on workflows in the
rural setting of primary health care in the three countries involved.
Conclusion: The development and implementation of a CDSS in rural primary health care centres presents challenges,
which may be overcome with careful planning and involvement of future users at an early stage. A tailored software with
stable functionality should offer perspectives to improve maternal care in resource-poor settings.