Evaluating the Financial Factors Influencing Maternal, Newborn, and Child Health in Africa
Er-Rays, Y.; M'dioud, M.
Show abstract
The study investigated the impact of healthcare system efficiency on the delivery of maternal, newborn, and child services in Africa. Data Envelopment Analysis and Tobit regression were employed to assess the efficiency of 46 healthcare systems across the continent, utilizing the Variable Returns to Scale model with Input orientation to evaluate technical efficiency. The Tobit method was utilized to explore factors contributing to inefficiency, with inputs variables including hospital, physician, and paramedical staff, and outputs variables encompassing maternal, newborn, and child admissions, cesarean interventions, functional competency, and hospitalization days. Results revealed that only 26% of countries exhibited efficiency, highlighting a significant proportion of 74% with inefficiencies. Financial determinants such as current health expenditures, comprehensive coverage index, and current health expenditure per capita were found to have a negative impact on the efficiency of maternal-child services. These findings underscore a marginal deficiency in technical efficiency within Africas healthcare systems, emphasizing the necessity for policymakers to reassess the roles of both human resources and financial dimensions in enhancing healthcare system performance.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Assessments of Effectiveness of Technologies Utilizations in VIHSCM Among Selected Health Facilities in Tanzania Mainland 94%
- Willingness and Perceived ability to pay for Ugandas Proposed National Health Insurance Scheme among Informal Sector workers in Iganga and Mayuge districts, Uganda: A Contingent Valuation Method. 94%
- Examining Health Sector Stakeholder Perceptions on the Efficiency of County Health Systems in Kenya 94%
Similar papers in this journal
- Protocol For The Development Of A Core Outcome Set For Respectful Maternal And Newborn Care In A Low-Middle Income Setting 94%
- Does the Data Tell the True Story? A Modelling Study of Early COVID-19 Pandemic Suppression and Mitigation Strategies in Ghana 94%
- Protocol: Waiting time and ways of accessing specialized health services in public hospitals in Ecuador 94%
Similar papers in this journal
- How to incentivise doctor attendance in Bangladesh: a latent class analysis of a discrete choice experiment 93%
- Use of Interviewer-Administered Telephone Surveys during Infectious Disease Outbreaks, Epidemics, and Pandemics: A Scoping Review 93%
- Modelling the cost-effectiveness of essential and advanced critical care for COVID-19 patients in Kenya 92%
Similar papers in this journal
- Assessing Language Difficulties in Health Facilities in Malawi 92%
- Revisiting the use and effectiveness of patient-held records in rural Malawi 92%
- Implementing a Behaviour Change Communication interaction for enhancing male involvement in maternity care among the Saharia Tribes in Gwalior District, Madhya Pradesh: a feasibility study 91%
Similar papers in this journal
- Assessing the multiple dimensions of poverty. Data mining approaches to the 2004-14 Health and Demographic Surveillance System in Cuatro Santos, Nicaragua 93%
- Assessment of COVID-19 Pandemic in Nepal: A Lockdown Scenario Analysis 92%
- Unequal Benefits: The Effects of Health Insurance Integration on Consumption Inequality in Rural China 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.