Working with health workers to improve maternal health services

Poor quality of maternal and newborn health services in Uganda have resulted in low maternal health service utilisation and high newborn mortality rates, both at home and at health facilities. The support Future Health Systems (FHS) provided to health workers to improve maternal health service delivery illustrates how a package of interventions that equips health workers with the necessary knowledge, skills and equipment, supplies and other non-financial incentives can improve the quality of maternal and newborn health service deliver

Saving money, saving lives: community saving groups lead to improvements in maternal and newborn health care in Uganda

Future Health Systems (FHS) work on maternal and newborn health in the poorest districts of eastern Uganda has contributed to a story of community empowerment where people have learnt to prioritise, prepare and save money for childbirth. This increases the likelihood of delivery in a health facility, and therefore the chances of a healthy pregnancy and safe childbirth under skilled care

Maternal and Neonatal Implementation for Equitable Systems. A Study Design Paper

Background: Evidence on effective ways of improving maternal and neonatal health outcomes is widely available. The challenge that most low-income countries grapple with is implementation at scale and sustainability. Objectives: The study aimed at improving access to quality maternal and neonatal health services in a sustainable manner by using a participatory action research approach. Methods: The study consisted of a quasi-experimental design, with a participatory action research approach to implementation in three rural districts (Pallisa, Kibuku and Kamuli) in Eastern Uganda. The intervention had two main components; namely, community empowerment for comprehensive birth preparedness, and health provider and management capacity-building. We collected data using both quantitative and qualitative methods using household and facility-level structured surveys, record reviews, key informant interviews and focus group discussions. We purposively selected the participants for the qualitative data collection, while for the surveys we interviewed all eligible participants in the sampled households and health facilities. Descriptive statistics were used to describe the data, while the difference in difference analysis was used to measure the effect of the intervention. Qualitative data were analysed using thematic analysis. Conclusions: This study was implemented to generate evidence on how to increase access to quality maternal and newborn health services in a sustainable manner using a multisectoral participatory approach.DFI

Effect of a Participatory Multisectoral Maternal and Newborn Intervention on Maternal Health Service Utilization and Newborn Care Practices: A Quasi-Experimental Study in Three Rural Ugandan Districts

Background: The MANIFEST study in eastern Uganda employed a participatory multisectoral approach to reduce barriers to access to maternal and newborn care services. Objectives: This study analyses the effect of the intervention on the utilization of maternal and newborn services and care practices. Methods: The quasi-experimental pre- and post-comparison design had two main components: community mobilization and empowerment, and health provider capacity building. The primary outcomes were utilization of antenatal care (ANC), delivery and postnatal care, and newborn care practices. Baseline (n = 2237) and endline (n = 1946) data were collected from women of reproductive age. The data was analysed using difference in differences (DiD) analysis and logistic regression. Results: The DiD results revealed an 8% difference in early ANC attendance (p < 0.01) and facility delivery (p < 0.01). Facility delivery increased from 66% to 73% in the intervention area, but remained unchanged in the comparison area (64% vs 63%, p < 0.01). The DiD results also demonstrated a 20% difference in clean cord care (p < 0.001) and an 8% difference in delayed bathing (p < 0.001). The intervention elements that predicted facility delivery were attending ANC four times [adjusted odds ratio (aOR) 1.42, 95% confidence interval (CI) 1.17–1.74] and saving for maternal health (aOR 2.11, 95% CI 1.39–3.21). Facility delivery and village health team (VHT) home visits were key predictors for clean cord care and skin-to-skin care. Conclusions: The multisectoral approach had positive effects on early ANC attendance, facility deliveries and newborn care practices. Community resources such as VHTs and savings are crucial to maternal and newborn outcomes and should be supported. VHT-led health education should incorporate practical measures that enable families to save and access transport services to enhance adequate preparation for birth.DFI

Using Personal Digital Assistants to Improve Healthcare Delivery in Uganda

Effective Health Systems make service provision easy for health workers, especially if they have access to the latest guidelines in a dynamic profession where new technologies are ever emerging. However, available data indicates that the health system in Uganda is constrained and still using old technologies despite the availability of newer technologies. As a result, this study sought to investigate the adoptability, cost effectiveness, and sustainability with regard to Personal Digital Assistants. The study, which was cross sectional in nature, was carried out in Mbale District in Eastern Uganda between 2008 and 2010. In depth interviews were conducted with health workers and key informants. Also, published and unpublished literature about the Uganda Health Information Network was reviewed. The findings revealed that the use of Personal Digital Assistants also known as handheld computers can go a long way towards improving healthcare delivery in countryside health facilities. To health workers in remote places, the PDAs are a source of the latest clinical care guidelines for several diseases including HIV and AIDS as well as malaria. Health information systems have been improved and data collection and reporting have been eased by this technology. However, while evidence of viability of this technology exists, it still has challenges like power and delays in software updates among others