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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.

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.

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.

There is considerable heterogeneity between primary care systems that have evolved in individual national cultural environments. Models of Child Health Appraised (MOCHA) studied how the transfer of models or their individual components can be achieved across nations, using examples of combinations of settings, functions, target groups and tracer conditions. There are many factors that determine the feasibility of successful transfer of these from one setting to another, which must be recognised and taken into account. These include the environment of the care system, national policy-making and contextual means of directing population behaviour – in the form of penalties and incentives, which cannot be assessed or expected to work by means of rational actions alone. MOCHA developed a list of criteria to assess transferability, summarised in a population characteristics, intervention content, environment and transfer (PIET-T) process. To explore the process and means of transferability, we obtained consensus statements from the researchers on optimum model scenarios and conducted a survey of stakeholders, professionals and users of children’s primary care services that involved three specific health topics: vaccination coverage in infants, monitoring of a chronic or complex condition and early recognition of mental health problems. The results give insight into features of transferability – such as the availability and the use of guidelines and formal procedures; the barriers and facilitators of implementation and similarities and differences between model practices and the existing model of child primary care in the country. We found that successful transfer of an optimal model is impossible without tailoring the model to a specific country setting. It is vital to be aware of the sensitivity of the population and environmental characteristics of a country before starting to change the system of primary care.

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.

The increasing size of the elderly population is emerging as a primary catalyst for the escalation of healthcare expenditure, and a sense of urgency is manifest. However, the complexity of the health- and elderly care systems provides challenges in improving system efficiency. Hence, the system-level understanding of the main obstacles to integration care needs further exploration. In order to better integrate health- and elderly care, the study needs to identify the actual misalignments underpinning the issue. This study provides the theoretical foundations for resource misalignments and provides empirical examples of these.

Semi-structured interviews with multiple stakeholders on various hierarchical levels were carried out to create a more complete view of the system and resources deployed in health- and elderly care. The application of user-centered design methods and co-creation with employees have also been crucial to the outcomes of the study.

Results show that health- and elderly care is a large-scale complex system. The overlapping and mutually reinforcing misalignments are: (1) regulation and policy differences, (2) stakeholder quantity and variation, (3) external control of health- and elderly care, (3) decreasing collaboration and (4) communication channels and IT development.

This qualitative study builds on institutional theory and resource integration theory and contributes with empirical descriptions of misalignments in the health- and elderly care system. These descriptions will serve as points of departure for systems design to improve the efficiency and effectiveness of health- and elderly care.

The 30 MOCHA (Models of Child Health Appraised) countries are diverse socially, culturally and economically, and differences exist in their healthcare systems and in the scope and role of primary care. An economic analysis was undertaken that sought to explain differences in child health outcomes between countries. The conceptual framework was that of a production function for health, whereby health outputs (or outcomes) are assumed affected by several ‘inputs’. In the case of health, inputs include personal (genes, health behaviours) and socio-economic (income, living standards) factors and the structure, organisation and workforce of the healthcare system. Random effects regression modelling was used, based on countries as the unit of analysis, with data from 2004 to 2016 from international sources and published categorisations of healthcare system. The chapter describes the data deficiencies and measurement conundrums faced, and how these were addressed. In the absence of consistent indicators of child health outcomes across countries, five mortality measures were used: neonatal, infant, under five years, diabetes (0–19 years) and epilepsy (0–19 years). Factors found associated with reductions in mortality were as follows: gross domestic product per capita growth (neonatal, infant, under five years), higher density of paediatricians (neonatal, infant, under five years), less out-of-pocket expenditure (neonatal, diabetes 0–19), state-based service provision (epilepsy 0–19) and lower proportions of children in the population, a proxy for family size (all outcomes). Findings should be interpreted with caution due to the ecological nature of the analysis and the limitations presented by the data and measures employed.

Changes in demographics and disease patterns are challenging health and care systems across the world. In England, national policies have reset the direction of travel for the NHS. Collaboration, integration and personalisation are intended to become prime principles and drivers for new models of care. Central to this is the concept of population health management. This has emerged, internationally, as a method to improve population health. Fundamental for population health management to succeed is the use of integrated data, analytics combined with professional insight and the adoption of a learning health system culture. This agenda reaches beyond the NHS in England and the public health profession to embrace a broad range of stakeholders. By drawing on international experience and early experience of implementation in the United Kingdom, the potential for health and care systems in England to become world leading in population health management is explored.

A viewpoint paper.

Population health management is a major change in the way health and care systems look at the challenges they are facing. It makes what is happening to individuals, across the continuum of care, the essence for insight and action. The NHS has the components for success and the potential to become world leading in delivery of population health management as part of its integrated care agenda.

This is the first viewpoint paper to set out how population health management contributes to the integrated care agenda in the NHS.

People with complex health conditions must often navigate landscapes of uncoordinated public, private and voluntary health-care providers to obtain the care they need. Complex health conditions frequently transcend the scope of typical health-care service systems. The purpose of this paper is to explore and characterize such unique assemblages of actors and services as “user-defined ecosystems”.

Building on literature on customer ecosystems, this paper introduces the concept of the user-defined ecosystem (UDE). Using an abductive approach, the authors apply the concept in an interpretive, qualitative study of ten families with special needs children.

This study uncovers complex UDEs, where families actively combine a broad range of services. These ecosystems are unique for each family and extend beyond the scope of designed service ecosystems. Thus, the families are forced to assume an active, coordinating role.

This paper shows how to identify ecosystems from the user’s point of view, based on the selected user unit (such as a family) and the focal value-creating function of the ecosystem for the user.

This paper highlights how service providers can support and adapt to UDEs and, thus, contribute to user value and well-being. This can be used to understand users’ perspectives on service and systems in health and social care.

This study develops the concept of the UDE, which represents a customer-focused perspective on actor ecosystems and contrasts it with a provider-focused and a distributed perspective on ecosystems. This study demonstrates the practical usefulness of the conceptualization and provides a foundation for further research on the user’s perspective on ecosystems.

The aim of this paper is to identify some of the challenges that need to be addressed to accelerate the deployment and adoption of smart health technologies for ubiquitous healthcare access. The paper also explores how internet of things (IoT) and big data technologies can be combined with smart health to provide better healthcare solutions.

The authors reviewed the literature to identify the challenges which have slowed down the deployment and adoption of smart health.

The authors discussed how IoT and big data technologies can be integrated with smart health to address some of the challenges to improve health-care availability, access and costs.

The results of this paper will help health-care designers, professionals and researchers design better health-care information systems.