Do Predictors of Health Facility Delivery Among Reproductive-Age Women Differ by Health Insurance Enrollment? A Multi-Level Analysis of Nigeria's Data

What predicts health facility delivery among women? analysis from the 2021 Madagascar Demographic and Health Survey

BACKGROUND

One of the pivotal determinants of maternal and neonatal health outcomes hinges on the choice of place of delivery. However, the decision to give birth within the confines of a health facility is shaped by a complex interplay of sociodemographic, economic, cultural, and healthcare system-related factors. This study examined the predictors of health facility delivery among women in Madagascar.

METHODS

We used data from the 2021 Madagascar Demographic and Health Survey. A total of 9,315 women who had a health facility delivery or delivered elsewhere for the most recent live birth preceding the survey were considered in this analysis. Descriptive analysis, and multilevel regression were carried out to determine the prevalence and factors associated with health facility delivery. The results were presented as frequencies, percentages, crude odds ratios and adjusted odds ratios (aORs) with corresponding 95% confidence intervals (CIs), and a p-value < 0.05 was used to declare statistical significance.

RESULTS

The prevalence of health facility delivery was 41.2% [95% CI: 38.9-43.5%]. In the multilevel analysis, women aged 45-49 [aOR = 2.14, 95% CI = 1.34-3.43], those with secondary/higher education [aOR = 1.62, 95% CI = 1.30-2.01], widowed [aOR = 2.25, 95% CI = 1.43-3.58], and those exposed to mass media [aOR = 1.18, 95% CI = 1.00-1.39] had higher odds of delivering in health facilities compared to those aged 15-49, those with no formal education, women who had never been in union and not exposed to mass media respectively. Women with at least an antenatal care visit [aOR = 6.95, 95% CI = 4.95-9.77], those in the richest wealth index [aOR = 2.74, 95% CI = 1.99-3.77], and women who considered distance to health facility as not a big problem [aOR = 1.28, 95% CI = 1.09-1.50] were more likely to deliver in health facilities compared to those who had no antenatal care visit. Women who lived in communities with high literacy levels [aOR = 1.54, 95% CI = 1.15-2.08], and women who lived in communities with high socioeconomic status [aOR = 1.72, 95% CI = 1.28-2.31] had increased odds of health facility delivery compared to those with low literacy levels and in communities with low socioeconomic status respectively.

CONCLUSION

The prevalence of health facility delivery among women in Madagascar is low in this study. The findings of this study call on stakeholders and the government to strengthen the healthcare system of Madagascar using the framework for universal health coverage. There is also the need to implement programmes and interventions geared towards increasing health facility delivery among adolescent girls and young women, women with no formal education, and those not exposed to media. Also, consideration should be made to provide free maternal health care and a health insurance scheme that can be accessed by women in the poorest wealth index. Health facilities should be provided at places where women have challenges with distance to other health facilities. Education on the importance of antenatal care visits should also be encouraged, especially among women with low literacy levels and in communities with low socioeconomic status.

The practice of polygyny on the utilisation of reproductive health services among married women in Ghana

While the practice of polygyny is common in Ghana, little is known about its impact on the use of reproductive health services. The aim of this study was to assess the relationship between polygynous marriage and the utilisation of skilled antenatal care (ANC), assisted skilled birth, and modern contraceptive services among married women in Ghana. Secondary data from the 2017 Ghana Maternal Health Survey were used for this study. The study included a weighted sample of 9,098 married women aged 15-49 years. We used multivariable logistic regression models to assess the association between polygyny and each outcome variables. Sensitivity analysis was conducted to assess the dose-response relationship between polygyny and each outcome variable. The prevalence of eight or more ANC contacts, assisted skilled births, and use of modern contraception were 47.0%, 81.4%, and 25.4%, respectively. The prevalence of women in polygynous marriages was 15.3%. Compared to monogynous marriage, polygynous marriage was associated with 19% lower odds of having eight plus ANC contacts (adjusted odds ratio [aOR] 0.81, 95% CI: 0.69, 0.96), 25% lower odds of having assisted skilled birth (aOR 0.75, 95% CI: 0.63, 0.89), and 19% lower odds of modern contraceptive utilisation (aOR 0.81, 95% CI: 0.66, 0.99). Interventions on reproductive health may need to prioritise women in polygynous marriages in order to improve the utilisation of skilled ANC, assisted skilled birth, and modern contraceptive services.

Individual- and institution-level predictors of the turnover intention of medical staff among rural primary medical institutions in Xinjiang Production and Construction Corps, China: a cross-sectional multi-level analysis

Background

Primary medical staff (PMS) are the guardians of population health. However, their loss further worsens the shortage and uneven distribution of human health resources, which should be addressed immediately. This study aimed to investigate the current status of turnover intention of rural PMS in Xinjiang Production and Construction Corps (XPCC) in China and its influencing factors atthe individual and institutional levels to provide reliable baseline data for intervention strategies to protect valuable rural PMS.

Methods

Participants were recruited from rural public health institutions of the XPCC using a cross-sectional multistage sampling process. Data on participants' turnover intention and individual- and institution-level indicators were obtained through standardized electronic questionnaires and statistical reports of regional health administrative departments. The key factors influencing PMS turnover intention were identified us ingunivariateandmulti-level logistic regression analysis.

Findings

Overall, 20.5% (447/2182) of participants reported turnover intention. Univariate analysis showed that the occurrence of turnover intention was significantly influenced by marriage, education, age, year of working, monthly income, human resource management practices (HRMP), job satisfaction, per capita served population (PCSP) and number of beds (p < 0.05). Multi-level logistic regression analysis showed that bachelor's degree or above and intermediate professional title were closely related to the occurrence of turnover intention (p < 0.05), age 41-50 years old and above, high human resource management practice, and high job satisfaction effectively reduced the odds (p < 0.05). The odds of turnover intention increased by 37% (p < 0.10) for PMS in institutions with PCSP more than 250 people. In contrast, the odds of turnover intention decreased to 68% (p < 0.05) for PMS in institutions with more than 50 beds.

Conclusion

Government-run primary medical institutions face the risk of PMS turnover intention. From a personal perspective, the high-risk population fortheturnover intention was mainly the PMS with bachelor's degrees or above and intermediate professional titles. The low-risk population was the PMS with aged over 40 years, a higher evaluation of human resource management practice, and job satisfaction. From the perspective of primary medical institutions, larger institutions can reduce the turnover intention of individuals, whereas the size of the service population has the opposite effect.

Perception among NHIS-HMO Enrolees of the Attitudes of Medical Personnel during Outpatient Care in Lagos Hospitals

The quality of healthcare services depends on the interactions between administrators, customers, and healthcare providers. This study seeks to examine how National Health Insurance Scheme (NHIS)-Health Maintenance Organization (HMO) enrolees perceive the attitudes of medical personnel while receiving outpatient care in Lagos hospitals. Mixed methods were used, i.e., distributing questionnaires and in-depth interviews with participants. Quantitative data were analysed using Statistical Product and Service Solutions (SPSS) version 20, and approaches that involved frequency statistics, factor analysis, contingency chi-square and correlation analysis were applied. The results indicate that the variables "humane" and "empathetic" have a direct impact on enrolees' perception and an indirect impact on motivation to adhere to medical advice among enrolees. This research has practical implications, especially in light of new initiatives of NHIS collaboration with HMO to deliver quality healthcare services to enrolees.