Efficiency and productivity analysis of maternal and infant healthcare services in Sub‐Saharan Africa

Ibrahim, Mustapha D.

doi:10.1002/hpm.3705

Cited by 3 publications

(1 citation statement)

References 64 publications

(127 reference statements)

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“…Comparative assessments allow to benchmark healthcare system's performance against other countries with different healthcare models (Mbau et al, 2022;Yetim et al, 2023). This facilitates the identification of successful strategies that may be applicable in different contexts, promoting knowledge exchange and fostering international collaboration (Herrera & Pang, 2005;Ibrahim, 2023;Kumbhakar, 2010;Ngami & Ventelou, 2023). Additionally, cross-country comparisons enable the identification of variations in health outcomes, healthcare access, and cost-effectiveness, offering a broader perspective on how different healthcare systems address common challenges (Hollingsworth & Peacock, 2008;Kumbhakar, 2010;Yetim et al, 2023).…”

Section: Literature Reviewmentioning

confidence: 99%

Healthcare System Efficiency and Its Drivers in Pre- And Covid-19 Pandemic Settings

Vishniakov,

Kasiev,

Abdrasulova

2023

Business, Management and Economics Engineering

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Purpose – The aim of the study is to assess healthcare system efficiency in both regular circumstances and during the COVID-19 pandemic, with a focus on key factors influencing efficiency, and offer health authorities insights into healthcare system resilience. Research methodology – The analysis was conducted in two stages. The initial stage involved the application of Data Envelopment Analysis output-oriented model with a constant-returnto-scale framework. The second stage employed Tobit regression method to identify factors that influenced countries’ efficiency. Findings – We identified the healthcare system efficiency of 14 CIS and EU countries in Pre and pandemic settings and provided a methodology for results interpretation accounting for the complexity of healthcare systems and temporal variations in pandemic trends. The Tobit regression highlighted the role of the health workforce, emphasizing the caution for the reduction of physicians in the system. Research limitations – The research focused on efficiency in just two regions of Eurasia and only considered medical factors as the primary drivers of efficiency. Additionally, the examination covered the initial year of the pandemic, reflecting only the earlier stages of countries’ performance during the pandemic. Practical implications – This study contributes to the assessment of healthcare resilience on a global scale and provides information for policymakers, aiding in the selection of optimal practices during the pandemic and enhancing preparedness for future crises. Originality/Value – Countries’ efficiency assessment in four models and two settings provides valuable insight into the healthcare systems’ resilience.

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Section: Literature Reviewmentioning

confidence: 99%

Healthcare System Efficiency and Its Drivers in Pre- And Covid-19 Pandemic Settings

Vishniakov,

Kasiev,

Abdrasulova

2023

Business, Management and Economics Engineering

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Digital public services: Catalysts for healthcare efficiency

Kwilinski,

Szczepanska-Woszczyna,

Lyulyov

et al. 2024

Journal of Open Innovation: Technology, Market, and Complexity

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Health resource allocation within the close-knit medical consortium after the Luohu healthcare reform in China: efficiency, productivity, and influencing factors

Gong,

Zhou,

Luo

et al. 2024

Front. Public Health

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ObjectiveThis study aims to assess the efficiency and productivity of the Luohu Hospital Group after the reform and to identify factors influencing the efficiency to support the future development of medical consortia.MethodsData on health resources from Shenzhen and the Luohu Hospital Group for the years 2015 to 2021 were analyzed using the super-efficiency slack-based measure data envelopment analysis (SE-SBM-DEA) model, Malmquist productivity index (MPI), and Tobit regression to evaluate changes in efficiency and productivity and to identify determinants of efficiency post-reform.ResultsAfter the reform, the efficiency of health resource allocation within the Luohu Hospital Group improved by 33.87%. Community health centers (CHCs) within the group had an average efficiency score of 1.046. Moreover, the Luohu Hospital Group’s average total factor productivity change (TFPCH) increased by 2.5%, primarily due to gains in technical efficiency change (EFFCH), which offset declines in technical progress change (TECHCH). The efficiency scores of CHCs were notably affected by the ratio of general practitioners (GPs) to health technicians and the availability of home hospital beds.ConclusionThe reform in the Luohu healthcare system has shown preliminary success, but continuous monitoring is necessary. Future strategies should focus on strengthening technological innovation, training GPs, and implementing the home hospital bed policy. These efforts will optimize the efficiency of health resource allocation and support the integration and development of resources within the medical consortium.

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Efficiency and productivity analysis of maternal and infant healthcare services in Sub‐Saharan Africa

Cited by 3 publications

References 64 publications

Healthcare System Efficiency and Its Drivers in Pre- And Covid-19 Pandemic Settings

Healthcare System Efficiency and Its Drivers in Pre- And Covid-19 Pandemic Settings

Digital public services: Catalysts for healthcare efficiency

Health resource allocation within the close-knit medical consortium after the Luohu healthcare reform in China: efficiency, productivity, and influencing factors

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