Clients' Perception of Maternal, Newborn and Child Health Services received before and during the COVID-19 Outbreak in Nigeria's Epicenter

BACKGROUND

Since the emergence of COVID-19, countries have implemented measures to limit spread, which include movement restrictions. These measures led to poor or inadequate delivery of many health services, including maternal, neonatal and child health (MNCH) services. This study assessed clients' perception of routine MNCH services received from government health care facilities before and during the COVID-19 outbreak in Lagos, Nigeria's epicenter.

METHODS

This was a cross-sectional descriptive study conducted among 1241 women of reproductive age selected by multistage sampling who had just received MNCH services across 12 primary, secondary or tertiary health facilities. Data was collected using interviewer-administered questionnaires and analyzed using STATA version SE15.1.

RESULTS

Before the COVID-19 outbreak, about half of the women perceived waiting time (50.7%), attention given to patients (53.0%), and respect given to patients (55.7%) as somewhat satisfactory. Fiftyfour percent of respondents said access to water was somewhat satisfactory. During the outbreak, 51.0% of the respondents said waiting time at the health facilities was shorter while over a third said attention given to patients (35.8%) and respect given to patients (35.8%) was better. Half of the respondents (50.7%) said access to water remained the same while 47.7% said it was better. Forty-one percent of respondents said overall quality of services became better during the outbreak.

CONCLUSION

To strengthen health systems for MNCH, the government should provide adequate water supply, optimal sanitation and hygiene facilities. Training of staff in provision of patient friendly MNCH services will go a long way to ensure sustained improvement in quality and also perception of care.

Applying a Client-centered Approach to Maternal and Neonatal Networks of Care: Case Studies from Urban and Rural Nigeria

In Nigeria, two maternal and neonatal health Networks of Care (NOC) focus on extending the reach and quality of routine and emergency maternal and neonatal health services tailored to the different contexts. This paper uses the four domains of the NOC framework-Agreements and Enabling Environment, Operational Standards, Quality, Efficiency and Responsibility, and Learning and Adaptation-to describe the NOC, highlighting how each developed to address specific local needs. In Northern Nigeria, the NOC were established in collaboration among Clinton Health Access Initiative and the government to reduce maternal and neonatal morbidity and mortality. Health centers and communities in the network were supported to be better prepared to provide maternal and neonatal care, while birth attendants at all levels were empowered and equipped to stabilize and treat complications. The approach brought services closer to the community and facilitated rapid referrals. The NOC in Lagos State extended the reach of routine and emergency maternal and neonatal health services through organically developed linkages among registered traditional birth attendant clinics, private and public sector facilities, the Primary Healthcare Board, and the Traditional Medicine Board. Traditional birth attendants are registered, trained, and monitored by Apex Community Health Officers, whose responsibilities include collection and review of data and ensuring linkages to postpartum services, such as family planning and immunizations. While differing in their approaches, both NOC provide locally appropriate, pragmatic approaches to supporting women birthing in the community and encouraging institutional delivery to ensure that women and their babies have access to timely, appropriate, and safe services.

Proinsulin levels and the proinsulin:c-peptide ratio complement autoantibody measurement for predicting type 1 diabetes

AIMS/HYPOTHESIS

We investigated whether random proinsulin levels and proinsulin:C-peptide ratio (PI:C) complement immune and genetic markers for identifying relatives at high risk of type 1 diabetes.

MATERIALS AND METHODS

During an initial sampling, random glycaemia, proinsulin, PI:C and HLA DQ genotype were determined in 561 non-diabetic first-degree relatives who had been positive for islet autoantibodies on one or more occasions and in 561 age- and sex-matched persistently antibody-negative relatives.

RESULTS

During follow-up (median 62 months), 46 relatives with antibodies at entry developed type 1 diabetes. At baseline, antibody-positive relatives (n=338) had higher PI:C values (p<0.001) than antibody-negative subjects with (n=223) or subjects without (n=561) later seroconversion. Proinsulin and PI:C were graded according to risk of diabetes as expressed by positivity for (multiple) antibodies or IA-2 antibodies, especially in persons carrying the high-risk HLA DQ2/DQ8 genotype and in prediabetic relatives. In the presence of multiple or IA-2 antibodies, a PI:C ratio exceeding percentile 66 of all antibody-negative relatives at entry (n=784) conferred a 5-year diabetes risk of 50% and 68%, respectively (p<0.001 vs 13% for same antibody status with PI:C<percentile 66). Cox regression analysis confirmed random PI:C as an independent predictor of the risk of diabetes (p< or =0.001).

CONCLUSIONS/INTERPRETATION

Random proinsulin and PI:C represent dynamic markers of the state of beta cell function that complement immune markers in identifying relatives who are at homogeneously high risk of contracting type 1 diabetes and are therefore eligible for secondary prevention trials.