RESUMO
Background: Disrespect and patient mistreatment are identified as barriers to care-seeking and low uptake of facility-based deliveries. These mitigating factors have led to slow progress in the achievement of maternal and child health targets, especially in Ghana. Group antenatal care, as an alternative to individual antenatal was implemented to explore the impact on outcomes, including mothers' perception of respectful care. Methods: A cluster randomized controlled trial was conducted in 14 health facilities across four districts in the Easter Region of Ghana. These facilities were randomized to intervention or control using a matched pair. Data was collected at several timepoints: enrollment (Time 0), 34 weeks gestation to 3 weeks post-delivery (Time 1), 6 to 12 weeks post-delivery (Time 2), 5 to 8 months post-delivery (Time 3), and 11 to 14 months post-delivery (Time 4). Questions related to respectful care were asked at Time 2, while a focus group discussion (FGDs) was conducted as part of a process evaluation to examine participants' experiences about respectful maternity care. Results: The findings from the intervention group indicate that participants perceived higher levels of respect in comparison to the control group. Privacy and con dentiality were maintained. They believed they had been provided with adequate information, education, and counseling, empowering them to make informed decisions. Participants perceived a shortened waiting time and reduced discrimination in care provision. Generally, there were higher levels of satisfaction with antenatal care. Conclusion: The provision of respectful maternity care, which is essential to increasing healthcare utilization, has been demonstrated to correlate positively with group antenatal care.
RESUMO
BACKGROUND: While group antenatal care (ANC) has been delivered and studied in high-income countries for over a decade, it has only recently been introduced as an alternative to individual care in sub-Saharan Africa. Although the experimental design of the studies from high-resource countries have been scientifically rigorous, findings cannot be generalized to low-resource countries with low literacy rates and high rates of maternal and newborn morbidity and mortality. The Group Antenatal Care Delivery Project (GRAND) is a collaboration between the University of Michigan in the United States and the Dodowa Health Research Centre in Ghana. GRAND is a 5-year, cluster randomized controlled trial (RCT). Our intervention-group ANC-consists of grouping women by similar gestational ages of pregnancy into small groups at the first ANC visit. They then meet with the same group and the same midwife at the recommended intervals for care. OBJECTIVE: This study aims to improve health literacy, increase birth preparedness and complication readiness, and optimize maternal and newborn outcomes among women attending ANC at seven rural health facilities in the Eastern Region of Ghana. METHODS: Quantitative data will be collected at four time points using a secure web application for data collection and a database management tool. Data will be analyzed on an intention-to-treat basis to test the differences between the two arms: women randomized to group-based ANC and women randomized to routine individual ANC. We will conduct a process evaluation concurrently to identify and document patient, provider, and system barriers and facilitators to program implementation. RESULTS: The study was funded in September 2018. Recruitment and enrollment of participants and data collection started in July 2019. In November 2021, we completed participant enrollment in the study (n=1761), and we completed data collection at the third trimester in May 2022 (n=1284). Data collection at the additional three time points is ongoing: 6 weeks postpartum, 6 months postpartum, and 1 year postpartum. CONCLUSIONS: This study is significant and timely because it is among the first RCTs to be conducted to examine the effects of group ANC among low-literacy and nonliterate participants. Our findings have the potential to impact how clinical care is delivered to low-literacy populations, both globally and domestically, to improve maternal and newborn outcomes. TRIAL REGISTRATION: ClinicalTrials.gov NCT04033003; https://clinicaltrials.gov/ct2/show/NCT04033003. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/40828.
RESUMO
BACKGROUND: Women continue to die in unacceptably large numbers around the world as a result of pregnancy, particularly in sub-Saharan Africa and Asia. Part of the problem is a lack of accurate, population-based information characterising the issues and informing solutions. Population surveillance sites, such as those operated within the INDEPTH Network, have the potential to contribute to bridging the information gaps. OBJECTIVE: To describe patterns of pregnancy-related mortality at INDEPTH Network Health and Demographic Surveillance System sites in sub-Saharan Africa and southeast Asia in terms of maternal mortality ratio (MMR) and cause-specific mortality rates. DESIGN: Data on individual deaths among women of reproductive age (WRA) (15-49) resident in INDEPTH sites were collated into a standardised database using the INDEPTH 2013 population standard, the WHO 2012 verbal autopsy (VA) standard, and the InterVA model for assigning cause of death. RESULTS: These analyses are based on reports from 14 INDEPTH sites, covering 14,198 deaths among WRA over 2,595,605 person-years observed. MMRs varied between 128 and 461 per 100,000 live births, while maternal mortality rates ranged from 0.11 to 0.74 per 1,000 person-years. Detailed rates per cause are tabulated, including analyses of direct maternal, indirect maternal, and incidental pregnancy-related deaths across the 14 sites. CONCLUSIONS: As expected, these findings confirmed unacceptably high continuing levels of maternal mortality. However, they also demonstrate the effectiveness of INDEPTH sites and of the VA methods applied to arrive at measurements of maternal mortality that are essential for planning effective solutions and monitoring programmatic impacts.
