The maternal and newborn health eCohort to track longitudinal care quality: study protocol and survey development.

The MNH eCohort was developed to fill gaps in maternal and newborn health (MNH) care quality measurement. In this paper, we describe the survey development process, recruitment strategy, data collection procedures, survey content and plans for analysis of the data generated by the study. We also compare the survey content to that of existing multi-country tools on MNH care quality. The eCohort is a longitudinal mixed-mode (in-person and phone) survey that will recruit women in health facilities at their first antenatal care (ANC) visit. Women will be followed via phone survey until 10-12 weeks postpartum. User-reported information will be complemented with data from physical health assessments at baseline and endline, extraction from MNH cards, and a brief facility survey. The final MNH eCohort instrument is centered around six key domains of high-quality health systems including competent care (content of ANC, delivery, and postnatal care for the mother and newborn), competent systems (prevention and detection, timely care, continuity, integration), user experience, health outcomes, confidence in the health system, and economic outcomes. The eCohort combines the maternal and newborn experience and, due to its longitudinal nature, will allow for quality assessment according to specific risks that evolve throughout the pregnancy and postpartum period. Detailed information on medical and obstetric history and current health status of respondents and newborns will allow us to determine whether women and newborns at risk are receiving needed care. The MNH eCohort will answer novel questions to guide health system improvements and to fill data gaps in implementing countries.

Added knowledge: The MNH eCohort will answer novel questions and provide information on undermeasured dimensions of MNH care quality included continuity of care, system competence, and user experience.Global health impact for policy and action: The data generated will inform policy makers to develop strategies to improve adherence to standards of care and quality for mothers and newborns.

Implementation of Maternal and Newborn Health Mobile Phone E-Cohorts to Track Longitudinal Care Quality in Low- and Middle-Income Countries.

BACKGROUND: The maternal and newborn health (MNH) eCohort is a new mixed-mode (in-person and phone) longitudinal survey aiming to provide data on novel and undermeasured dimensions of quality along the MNH continuum of care. We describe implementation experiences and lessons learned in Ethiopia, India, Kenya, and South Africa to inform future longitudinal mobile phone-based studies on health system quality. METHODS: To document the implementation approach and lesson learned, we engaged numerous stakeholders and conducted data reviews, debriefs, and a workshop with participants from all collaborative research organizations. RESULTS: The MNH eCohorts enrolled women during their first antenatal care visit in 2 sentinel sites in Ethiopia, India, Kenya, and South Africa. In India, a site with better health outcomes and a site with poorer outcomes were chosen. In the remaining countries, an urban site and a rural site were chosen. Enrollment facilities reflect care-seeking patterns according to local health information data across public and private facilities and primary and secondary levels. Data collectors had a range of educational and experience profiles, and phone data collection was completed by the same enumerators in some countries and outsourced to data collection firms in others. Adequate infrastructure (including Internet and mobile phone coverage) was essential to implementation. Although follow-up is ongoing in India and South Africa, the eCohort retained 89%-90% of participants throughout the entire pregnancy and 78%-81% until 3 months postpartum in Ethiopia and Kenya, respectively. CONCLUSIONS: The MNH eCohort is a complex and long survey. Careful and thoughtful implementation demonstrates that it is a useful tool to gather data on health system quality and continuity and on changes in user experience over the continuum of care. Findings from the eCohort related to care and system competence and user experience will be valuable to program managers and policymakers alike.

Antenatal care quality and detection of risk among pregnant women: An observational study in Ethiopia, India, Kenya, and South Africa.

BACKGROUND: Antenatal care (ANC) is an essential platform to improve maternal and newborn health (MNH). While several articles have described the content of ANC in low- and middle-income countries (LMICs), few have investigated the quality of detection and management of pregnancy risk factors during ANC. It remains unclear whether women with pregnancy risk factors receive targeted management and additional ANC. METHODS AND FINDINGS: This observational study uses baseline data from the MNH eCohort study conducted in 8 sites in Ethiopia, India, Kenya, and South Africa from April 2023 to January 2024. A total of 4,068 pregnant women seeking ANC for the first time in their pregnancy were surveyed. We built country-specific ANC completeness indices that measured provision of 16 to 22 recommended clinical actions in 5 domains: physical examinations, diagnostic tests, history taking and screening, counselling, and treatment and prevention. We investigated whether women with pregnancy risks tended to receive higher quality care and we assessed the quality of detection and management of 7 concurrent illnesses and pregnancy risk factors (anemia, undernutrition, obesity, chronic illnesses, depression, prior obstetric complications, and danger signs). ANC completeness ranged from 43% in Ethiopia, 66% in Kenya, 73% in India, and 76% in South Africa, with large gaps in history taking, screening, and counselling. Most women in Ethiopia, Kenya, and South Africa initiated ANC in second or third trimesters. We used country-specific multivariable mixed-effects linear regression models to investigate factors associated with ANC completeness. Models included individual demographics, health status, presence of risk factors, health facility characteristics, and fixed effects for the study site. We found that some facility characteristics (staffing, patient volume, structural readiness) were associated with variation in ANC completeness. In contrast, pregnancy risk factors were only associated with a 1.7 percentage points increase in ANC completeness (95% confidence interval 0.3, 3.0, p-value 0.014) in Kenya only. Poor self-reported health was associated with higher ANC completeness in India and South Africa and with lower ANC completeness in Ethiopia. Some concurrent illnesses and risk factors were overlooked during the ANC visit. Between 0% and 6% of undernourished women were prescribed food supplementation and only 1% to 3% of women with depression were referred to a mental health provider or prescribed antidepressants. Only 36% to 73% of women who had previously experienced an obstetric complication (a miscarriage, preterm birth, stillbirth, or newborn death) discussed their obstetric history with the provider during the first ANC visit. Although we aimed to validate self-reported information on health status and content of care with data from health cards, our findings may be affected by recall or other information biases. CONCLUSIONS: In this study, we observed gaps in adherence to ANC standards, particularly for women in need of specialized management. Strategies to maximize the potential health benefits of ANC should target women at risk of poor pregnancy outcomes and improve early initiation of ANC in the first trimester.

'Parents are gudlists!' Experiences of puberty and parent-child sexual communication in rural KwaZulu-Natal, South Africa.

This paper explores young people's experiences of puberty and their perspectives on parent-child sexual communication in rural northern KwaZulu-Natal. In-depth individual interviews, focus group discussions, and participatory visual research methodology were employed with 18 and 19-year-old young women (n = 30) and young men (n = 16) attending three primary health care facilities and a local high school in Jozini municipality. The findings suggest a complex interplay between unequal gender and socio-cultural norms that results in divergent puberty experiences and ambiguous and inconsistent patterns of parent-child sexual communication. Young people referred to their parents as gudlists, a local colloquialism for someone who is evasive, vague, ambiguous and indirect. Lack of open parent-child sexual communication hinders discussion of healthy sexuality, neglecting the sexual and reproductive health education and needs of young people. Reflective of their desire for change, young women in particular contest current parenting norms and suggest returning to cultural practices linked to traditional forms of courtship and sexual communication among young Zulu people.

Quality of routine health data at the onset of the COVID-19 pandemic in Ethiopia, Haiti, Laos, Nepal, and South Africa.

BACKGROUND: During the COVID-19 pandemic, governments and researchers have used routine health data to estimate potential declines in the delivery and uptake of essential health services. This research relies on the data being high quality and, crucially, on the data quality not changing because of the pandemic. In this paper, we investigated those assumptions and assessed data quality before and during COVID-19. METHODS: We obtained routine health data from the DHIS2 platforms in Ethiopia, Haiti, Lao People's Democratic Republic, Nepal, and South Africa (KwaZulu-Natal province) for a range of 40 indicators on essential health services and institutional deaths. We extracted data over 24 months (January 2019-December 2020) including pre-pandemic data and the first 9 months of the pandemic. We assessed four dimensions of data quality: reporting completeness, presence of outliers, internal consistency, and external consistency. RESULTS: We found high reporting completeness across countries and services and few declines in reporting at the onset of the pandemic. Positive outliers represented fewer than 1% of facility-month observations across services. Assessment of internal consistency across vaccine indicators found similar reporting of vaccines in all countries. Comparing cesarean section rates in the HMIS to those from population-representative surveys, we found high external consistency in all countries analyzed. CONCLUSIONS: While efforts remain to improve the quality of these data, our results show that several indicators in the HMIS can be reliably used to monitor service provision over time in these five countries.