An Algorithm (LaD) for Monitoring Childbirth in Settings Where Tracking All Parameters in the World Health Organization Partograph Is Not Feasible: Design and Expert Validation.

Background: After determining the key childbirth monitoring items from experts, we designed an algorithm (LaD) to represent the experts' suggestions and validated it. In this paper we describe an abridged algorithm for labor and delivery management and use theoretical case to compare its performance with human childbirth experts.

Objective: The objective of this study was to describe the LaD algorithm, its development, and its validation.

Expert perspectives on essential parameters to monitor during childbirth in low resource settings: a Delphi study in sub-Saharan Africa.

Objective: There is no consensus on the essential parameters to monitor during childbirth, when to start, and the rate of monitoring them. User disagreement contributes to inconsistent use of the twelve-item modified World Health Organization partograph that is started when the cervix is at least 4 cm dilated. The inconsistent use is associated with poor outcomes at birth.

Midlevel Maternity Providers' Preferences of a Childbirth Monitoring Tool in Low-Income Health Units in Uganda.

A third of women in childbirth are inadequately monitored, partly due to the tools used. Some stakeholders assert that the current labour monitoring tools are not efficient and need improvement to become more relevant to childbirth attendants. The study objective was to explore the expectations of maternity service providers for a mobile childbirth monitoring tool in maternity facilities in a low-income country like Uganda.

Computerized Childbirth Monitoring Tools for Health Care Providers Managing Labor: A Scoping Review.

Background: Proper monitoring of labor and childbirth prevents many pregnancy-related complications. However, monitoring is still poor in many places partly due to the usability concerns of support tools such as the partograph. In 2011, the World Health Organization (WHO) called for the development and evaluation of context-adaptable electronic health solutions to health challenges.