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The Models of Child Health Appraised (MOCHA) project identified the different models of primary care that exist for children, examined the particular attributes that might be different from those directed at adults and considered how these models might be appraised. The project took the multiple and interrelated dimensions of primary care and simplified them into a conceptual framework for appraisal. A general description of the models in existence in all 30 countries of the EU and EEA countries, focusing on lead practitioner, financial and regulatory and service provision classifications, was created. We then used the WHO ‘building blocks’ for high-performing health systems as a starting point for identifying a good system for children. The building blocks encompass safe and good quality services from an educated and empowered workforce, providing good data systems, access to all necessary medical products, prevention and treatments, and a service that is adequately financed and well led. An extensive search of the literature failed to identify a suitable appraisal framework for MOCHA, because none of the frameworks focused on child primary care in its own right. This led the research team to devise an alternative conceptualisation, at the heart of which is the core theme of child centricity and ecology, and the need to focus on delivery to the child through the life course. The MOCHA model also focuses on the primary care team and the societal and environmental context of the primary care system.

This paper aims to evaluate the progressivity of health-care financing in Egypt by assessing all five financing sources individually and then combining them to analyze the equity of the whole financing system.

Lorenz dominance analysis and Kakwani progressivity index were applied on data from 2010/2011 Household Income, Expenditure, and Consumption Survey and the National Health Accounts 2011 using Stata to evaluate the progressivity of each source of health-care finance and the financing system overall.

The data show that Egypt’s health-care system, which is largely financed by out-of-pocket (OOP) payments, is slightly regressive, with an overall Kakwani index of −0.079. The overall regressive effect was the result of three regressive sources (OOP payments, an earmarked cigarette tax and direct taxes), one proportional finance source (social health insurance) and two slightly progressive sources (indirect taxes and private health insurance). This shows that the burden of financing health care falls more on the poor. These results signal the need for reform of health-care financing in Egypt to reduce dependence on OOP payments to achieve more equitable financing.

The paper seeks to augment the literature on health-care financing in Egypt by calculating specific progressivity estimates for all five sources of financing the Egyptian health-care system and analyzing the overall equity of this financing system. It will, therefore, provide a benchmark for monitoring the equity of finance in the Egyptian health-care system in future studies and allow one to assess the impact of implemented financing reforms in the future on the level of progressivity of health system financing.

The purpose of this paper is to evaluate the economic benefits of managing an outpatient appointments system with technological innovations.

This study uses a quantitative methodological procedures aiming to evaluate the cost-benefit relation and also the payback of the management and operation of an outpatient appointments system with technological innovations.

This study found a great benefit-cost relation of 30.6 showing the great economic value and social impact of managing an outpatient appointments regulation system with technological innovations.

This study presents contribution to the literature discussion about the economic evaluation of the benefits of managing and operating more effective outpatient appointments systems because of important technological innovations.

This paper presents and discusses the most important and commonly used strategies and technological innovations to deal with and to manage an outpatient appointment regulation system aiming to reduce the patient no-show rates.

The findings of this study show a great benefit-cost relation of about 30.6 which is being reverted to the society.

There not exist many similar studies in the pertinent literature, mostly with the Brazilian contexts.

To investigate the effects of payor–provider integration on the operational performance of health service provision. The research explores whether integration governs agency problems and tilts the incentives of diverse actors toward more systematic outcomes.

A two stage multimethod case study of occupational health services. A qualitative stage aimed to understand the reasons, mechanisms, and outcomes of payor–provider integration. A quantitative stage evaluated the performance of the integrated hospital against fee-for-service partner hospitals with a sample of 2,726 patients.

Payor–provider integration mitigates agency problems on multiple levels of the service system by complementing formal governance mechanisms with informal mechanisms. Compared to partner hospitals, the integrated hospital yielded 9% lower the total costs of occupational injuries achieved primarily by emphasizing conservative care and faster recovery.

Focuses on occupational health services in Finland. Provides initial evidence of the effects of payor–provider integration on the operational performance.

Vertical integration may provide systematic outcomes but requires mindful implementation of multiple mechanisms. Rigorous change management initiative is advised.

For patients, the research shows payor–provider integration of health services can be implemented in a manner that it reduces care costs while not compromising care quality and customer satisfaction.

This study provides a rare longitudinal analysis of payor–provider integration in health-care operations management. The study adds to the knowledge of operational performance improvement of health services.

The purpose of this paper is to validate and measure the overall evaluation of electronic health record (EHR) and identify the factors that influence the health information systems (HIS) assessment in Brazil.

From February to May 2020, this study surveyed 262 doctors and nurses who work in hospitals and use the EHR in their workplace. This study validated the National Usability-focused HIS Scale (NuHISS) to measure usability in the Brazilian context.

The results showed adequate validity and reliability, validating the NuHISS in the Brazilian context. The survey showed that 38.9% of users rated the system as high quality. Technical quality, ease of use and benefits explained 43.5% of the user’s overall system evaluation.

This study validated the items that measure usability of health-care systems and identified that not all usability items impact the overall evaluation of the EHR.

NuHISS can be a valuable tool to measure HIS usability for doctors and nurses and monitor health systems’ long-term usability among health professionals. The results suggest dissatisfaction with the usability of HIS systems, specifically the EHR in hospital units. For this reason, those responsible for health systems must observe usability. This tool enables usability monitoring to highlight information system deficiencies for public managers. Furthermore, the government can create and develop actions to improve the existing tools to support health professionals.

From the scale validation, public managers could monitor and develop actions to foster the system’s usability, especially the system’s technical qualities – the factor that impacted the overall system evaluation.

To the best of the authors’ knowledge, this study is the first to validate the usability scale of EHR systems in Brazil. The results showed dissatisfaction with HIS and identified the factors that most influence the system evaluation.

This study aims at evaluating the technical efficiency (TE) of healthcare systems in the Arab region and exploring the key factors that affect the efficiency performance.

The study applies a two-stage Data Envelopment Analysis (DEA) approach to a sample of 20 Arab countries. In the first stage, a DEA model is used to calculate the TE scores of the examined healthcare systems in 2019 and 2010, following both the output and input orientations of efficiency. In the second stage, a censored Tobit model is estimated to investigate the determinants of healthcare efficiency.

DEA results of 2019 indicate that achievable efficiency gains of the Arab countries range from 0.4% to 16% under the output and input orientations, respectively. Six countries are efficient under both orientations. Although the average efficiency scores of the Arab countries have deteriorated between 2010 and 2019, Djibouti and Sudan had the greatest efficiency improvements between the two years. Bahrain, Mauritania, Morocco and Qatar proved to be efficient in 2010 and 2019 under the two orientations of efficiency and according to the two DEA specifications followed. The Tobit model reveals that corruption and government health expenditure tend to have an adverse impact on healthcare efficiency.

The author evaluates healthcare efficiency and healthcare's efficiency determinants in the Arab countries. Regardless Arab countries' diversity, these countries are facing common health challenges, including diminishing role of governments in healthcare financing; increased out-of-pocket healthcare spending; poor healthcare outputs and prevalence of health inequities resulting from weak governance institutions. Comparing the efficiency of healthcare systems between 2010 and 2019 gives insights on the potential impact of the Arab spring uprisings on healthcare efficiency. Moreover, examining the determinants of healthcare efficiency allows for better understanding of how to improve the efficiency of healthcare systems in the region.

The investigation goal is the analysis of the relation between healthcare expenditures and other resources, and COVID-19 fatality rates among European countries to design effective health policies for crisis management.

Research methodology is based on descriptive statistics and various parametric methods, also including a linear model of regression to analyze basic relationships of variables under study.

Results show that a lower COVID-19 fatality rate is associated with higher levels of health expenditure (% GDP), of healthcare expenditure per capita, health expenditure in preventive care (% GDP), hospitals per million inhabitants, physicians, nurses, hospital beds and curative acute care beds per 1,000 inhabitants. Regression analysis shows that a 1% increase in healthcare expenditures per capita of countries, it reduces the level of COVID-19 fatality rate by 0.74%. In fact, many countries in Eastern Europe with low healthcare expenditures per capita in 2019 (e.g., Bulgaria, Romania, Hungary, Poland, Latvia, Slovakia, Lithuania, etc.), they have experienced high COVID-19 fatality rates. Instead, a lot of countries in Western Europe, with high healthcare expenditures per capita, such as Germany, Denmark, Austria, and the Netherlands, they had resilient health systems to face pandemic crisis and lower COVID-19 fatality rates.

These findings suggest strategies of systematic and continuous investments in healthcare, medical technologies, and ICT infrastructures to support effective health policy of crisis management in countries to face future pandemic crisis and other emergencies in society.

The explanation of critical role of high health expenditure (% GDP) and healthcare expenditure per capita to support robust health systems that bolster the resilience in nations to face health emergencies and worldwide crises.

This paper aims to evaluate the technical efficiency of the health-care systems in 21 selected middle-income countries during the period (2000–2017) and determine the source of inefficiency whether it is transient (short run) or persistent (long run).

The study uses the stochastic frontier analysis technique through employing the generalized true random effects model which overcomes the drawbacks of the previously introduced stochastic frontier models and allows for the separation between unobserved heterogeneity, persistent inefficiency and transient inefficiency.

Persistent efficiency is lower than the transient efficiency; hence, there are more efficiency gains that can be made by the selected countries by adopting long-term policies that aim at reforming the structure of the health-care system in the less efficient countries such as South Africa and Russia. The most efficient countries are Vietnam, Mexico and China which adopted a social health insurance that covers almost the whole population with the aim of increasing access to health-care services. Also, decentralization in health-care has assisted in adopting health-care policies that are suitable for both the rural and urban areas based on their specific conditions and health-care needs. A key success in the implementation of the adopted long-term policies by those countries is the continuous monitoring and evaluation of their outcomes and comparing them with the predefined targets and conducting any necessary modifications to ensure their movement in the right path to achieve their goals.

Although several studies have evaluated the technical efficiency both across and within countries using non-parametric (data envelopment analysis) and parametric (stochastic frontier analysis) approaches, to the best of the authors’ knowledge, this is the first attempt to evaluate the technical efficiency of selected middle-income countries during the period (2000–2017) using the generalized true random effects stochastic frontier analysis model.

A healthcare system in any country is rarely the product of one logical policy-making experience, but rather a manifestation of many years of historical development. The purpose of this paper is to examine the characteristics, components, and variables of South Africa’s healthcare system in the context of global patterns. It leverages a dynamic period in South Africa since 1994, and applies a comparative health systems analysis to explain where the country’s healthcare system is, and where it is potentially going.

This paper reviews literature related to South Africa’s healthcare system, outlines its historical development, and discusses three fundamental challenges experienced in the country. This paper also reviews the literature on healthcare system typologies and identifies three framework models that have been used to categorise national healthcare systems since the 1970s. This paper then discusses the categorisation of South Africa’s healthcare system in these models, in comparison to Canada and the USA.

This paper finds that the framework models are useful tools for comparative analysis of healthcare systems. However, any use of such typologies should be done with the awareness that national healthcare systems are not isolated entities because they function within a larger context. They are not static, since they are constantly evolving with many nuances, even with very similar healthcare system categorisations.

This paper charts the trajectory of change in the South African healthcare system, and demonstrates that the change process must keep internal conditions in mind if the outcome is to be successful. Imitating policies of countries with well-functioning systems, without regard to local realities, may not work, as the government attempts to usher in changes within a short span of time.