Birth plans and health insurance enrolment of pregnant women: a cross-sectional survey at two secondary health facilities in Lagos, Nigeria

Spatial clustering and determinants of home birth after at least one antenatal care visit in Ethiopia: Ethiopian demographic and health survey 2016 perspective

BACKGROUND

All pregnancies are at risk and have to be attended by skilled professionals. In Ethiopia however nearly half (45.7%) of the women were giving birth at home after antenatal care (ANC) visits in which skilled professionals were not available. Therefore, the aim of this study was to assess spatial clustering and the determinant factors of home delivery after antenatal care visits in Ethiopia.

METHODS

A case control study was conducted on 2110 mothers who gave birth at home after ANC (cases), and 2510 mothers who gave birth at health institutions after attending ANC (controls), based on EDHS 2016 data. As per the recommendations of the DHS program, we weighed the data before analysis. ArcGIS 10.3 was used to show spatial pattern and SaTScan™ 9.4 to identify significant clusters. Stata 14 was used for data cleaning, weighing, and the analysis of the determinant factors. Bi variable and multi variable multilevel mixed effect logistic regression was fitted. Finally, the Log-likelihood ratio (LLR) and Relative risk with p-value of spatial scan statistics and AOR with 95% CI for significant determinant factors were reported.

RESULTS

Home delivery after ANC was spatially clustered in Ethiopia (Moran's Index = 0.91, p-value< 0.01). Attending, 1-3 ANC visits (AOR = 1.41, 95%CI: 1.17-1.71), no information about birth preparedness plan (AOR = 2.21, 95%CI: 1.83-2.69), pregnancies wanted later (AOR = 1.55, 95%CI: 1.20, 2.06), not having health insurance (AOR = 2.16, 95% CI: 1.29, 3.62), Muslim (AOR = 1.57, 95% CI: 1.13, 2.19) and protestant (AOR = 1.72, 95%CI: 1.16, 2.42) religions were positively associated with home delivery; While being rich (AOR = 0.42, 95%CI: 0.32-0.54), middle wealth index (AOR = O.66, 95%CI: 0.51, 0.86), primary education (AOR = 0.45, 95%CI: 0.36-0.55), secondary education (AOR = 0.11, 95%CI: 0.07-0.16), above secondary education (AOR = 0.06, 95%CI: 0.03-0.11) were negatively associated.

CONCLUSIONS

Home delivery after ANC follow ups was spatially clustered. Socio-demographic, health service and pregnancy related factors determined the prevalence of home delivery after antenatal care visits. Strengthening women's education, ANC visit, giving more information about birth preparedness plan, and improving family wealth are vital to reduce home delivery after antenatal care visits.

Knowledge and utilisation of National Health Insurance Scheme among adult patients attending a tertiary health facility in Lagos State, South-Western Nigeria

Background

Despite the creation of the National Health Insurance Scheme (NHIS) by the Nigerian government, most Nigerians are not covered by the scheme.

Aim

The aim of this study was to assess the knowledge and utilisation of NHIS among adult patients who attended a tertiary health facility in Lagos state, South-Western Nigeria.

Setting

Outpatient clinic, Lagos State University Teaching Hospital, Ikeja, Lagos.

Methods

A descriptive cross-sectional study of 487 respondents recruited using a multi- stage sampling method. Data were collected using pretested semi-structured self-administered questionnaires, and analysis was done using Microsoft Excel 2007 and EPI Info 7 statistical software. Level of significance was set at p < 0.05. Ethical approval was obtained from the Health Research Ethics Committee Lagos State university teaching Hospital.

Results

A total of 487 of the 500 self-administered questionnaires were retrieved and analysed, giving a response rate of 97.4%. The study showed that 80.7% of the respondents had poor knowledge of NHIS, only12.3% of the respondents had registered with the NHIS, and 43.8% of respondents who had not registered with NHIS claimed they do not know where to register. There was a statistically significant association between age and utilisation (p = 0.0007), marital status and utilisation of NHIS (p = 0.016), employment status and utilisation of NHIS (p = 0.001).Most (96%) of those who have utilised NHIS were satisfied with NHIS services.

Conclusion

Majority of the respondents had poor knowledge of NHIS and also majority of those who had registered were satisfied with the scheme. There should be increased awareness campaigns so that all Nigerians can benefit from the scheme.