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Evaluating primary care for children has not before been undertaken on a national level, and only infrequently on an international level, an adult-focused perspective is the norm. The Models of Child Health Appraised (MOCHA) project explored the evaluation of quality of primary care for children in a nationally comparable way, which recognises the influence of all components of child well-being and well-becoming. Using adult-focused metrics fails to account for children’s physical and psycho-social development at different ages, differences in health and non-health determinants, patterns of disease and risk factors and the stages of the life course. To do this, we attempted to identify comparable measures of child health in the European Union and European Economic Area countries, we aimed to perform a structural equation modelling technique to identify causal effects of certain policies or procedures in children’s primary care and we aimed to identify and interrogate large datasets for key tracer conditions. We found that the creation of comparative data for children and child health services remains a low priority in Europe, and the largely unmet need for indicators covering all the healthcare dimensions hampers development of evidence-based policy. In terms of the MOCHA project objective of appraising models of child primary health care, the results of this specific work show that the means of appraisal of system and service quality are not yet agreed or mature, as well as having inadequate data to fuel them.

Information and communication technologies can transform how services can be and are delivered as has already happened in other arenas, such as civil aviation, financial services and retailing. Most modern health care is heavily dependent on e-health, including record keeping, targeted information sharing and digital diagnostic and imaging techniques. However, there remains little scientific knowledge base for optimal system content and function in primary health care, particularly for children. Models of Child Health Appraised (MOCHA) aimed to establish the current e-health situation in children’s primary care services. Electronic health records (EHRs) are in regular use in much of northern and western Europe and in some newer European Union Member States, but other countries lag behind. MOCHA investigated the use of unique identifiers, the use of case-based public health EHRs and the capability of record linkage, linkage of information with school health data and monitoring of social media influences, such as health websites and health apps. A widespread lack of standards underlined a lack of research enquiry into this issue in terms of children’s health data and health knowledge. Health websites and apps are a growing area of healthcare delivery, but there is a worrying lack of safeguards in place. The challenge for policy-makers and practitioners is to be aware and to lead on the innovative harnessing of new technologies, while protecting child users against new harms.

The Russian Federation has taken a harsh, punitive approach towards drug policy. There are limited health and social services available to people who use drugs and widespread, documented discrimination within the criminal justice system. Amongst those who use drugs, the proportion of women who use injection drugs is estimated to be approximately 30 per cent. While a minority, women who use drugs are often disproportionately impacted by drug policy enforcement and remain underrepresented within research. Moreover, women who use drugs experience specific gender-based forms of discrimination within social, health and criminal justice systems, which result in particular vulnerabilities. This chapter examines policing and sentencing practices within the Russian criminal justice system and their gendered impacts, especially concerning women who use drugs. Human rights reports and court cases as well as interviews from civil society organisation (CSO) workers are analysed in order to understand how gender roles, gender-based discrimination and gender-based violence shape these interactions and result in disproportionate negative impacts on the lives of women who use drugs. This analysis also highlights key areas that need greater involvement and attention from researchers, policymakers and advocates.

Parallel with trends in the wider East Africa region, there has been an increase in the number of women involved in drug use, trafficking and drug-related crime in Kenya (Beckerleg, Telfer, & Hundt, 2005 ). Vulnerable populations, such as domestic labourers, ethnic minorities, those living in slums, bar attendants, sex workers and refugees, are recruited into criminal organisations and assigned roles that expose them to negative health outcomes, human rights violations and incarceration (NACADA, 2016 ). In cases where women do not directly participate in drug use or the drug trade, they often are responsible for mitigating the risks arising from drug use by family members and the community. This reflects their triple burden of care and support when family and social life deteriorates (Mburu, Limmer, & Holland 2019).

The Kenya Narcotic Drugs and Psychotropic Substances Control Act of 1994, criminalises possession and trafficking of illicit drugs. The enforcement of this legislation has led to an increase in the number of women incarcerated in Kenya for drug, but also (and mainly) alcohol offences. This goes against the recommendation of the UN Commission on Narcotic Drugs in 2005 that States should adopt innovative measures and policies that prioritise treatment and rehabilitation as opposed to incarceration. In Kenya, prisons have adopted the Mandela and Bangkok Rules, enabling a paradigm shift in the provision of correctional services for women offenders, including remote parenting, family open days and linkages to aftercare services. However, these policies need to be anchored in the legal framework, with adequate resources to hasten the realisation of goals for the care and treatment of female drug and criminal offenders.

Diffusion of innovations, defined as the adoption and implementation of new ideas, processes, products, or services in health care, is both particularly important and especially challenging. One known problem with adoption and implementation of new technologies is that, while organizations often make innovations immediately available, organizational actors are more wary about adopting new technologies because these may impact not only patients and practices but also reimbursement. As a result, innovations may remain underutilized, and organizations may miss opportunities to improve and advance. As innovation adoption is vital to achieving success and remaining competitive, it is important to measure and understand factors that impact innovation diffusion. Building on a survey of a national sample of 654 clinicians, our study measures the extent of diffusion of value-enhancing care delivery innovations (i.e., technologies that not only improve quality of care but has potential to reduce care cost by diminishing waste, Faems et al., 2010) for 13 clinical specialties and identifies healthcare-specific individual characteristics such as: professional purview, supervisory responsibility, financial incentive, and clinical tenure associated with innovation diffusion. We also examine the association of innovation diffusion with perceived value of one type of care delivery innovation – artificial intelligence (AI) – for assisting clinicians in their clinical work. Responses indicate that less than two-thirds of clinicians were knowledgeable about and aware of relevant value-enhancing care delivery innovations. Clinicians with broader professional purview, more supervisory responsibility, and stronger financial incentives had higher innovation diffusion scores, indicating greater knowledge and awareness of value-enhancing, care delivery innovations. Higher levels of knowledge of the innovations and awareness of their implementation were associated with higher perceptions of the value of AI-based technology. Our study contributes to our knowledge of diffusion of innovation in healthcare delivery and highlights potential mechanisms for speeding innovation diffusion.

This chapter is based on the findings of the empirical material gathered in Finland and Sweden through interviews with education and audiovisual (AV) media actors and policymakers in 2017–2018. The aim of the chapter is to discuss the innovation systems of the education sector and Finland and Sweden in general, compare the sectoral innovation models of the two sectors, and conclude with discussing the resulting challenges for policymakers. Our results show that a new EdTech sector employing the competences of the education, information and communication technology, and AV media sectors has begun to emerge and actors in the both countries have eagerly taken actions to boost its development as a business and export field. We discuss the reasons and consequences of this development.

This chapter insists that local cocreation projects need not only good intentions and the hard work of volunteers but also require funding and financing of the design and implementation of new solutions. It draws a conceptual distinction between funding and financing and explains who may help to provide funding and financing and why they may do so. As a part of this discussion, attention is drawn to the importance of writing good and persuasive funding applications and drawing up a strong and convincing business case to secure financing of new solutions. The new and emerging strategy for mobilizing private capital to help finance SDG projects is explained and illustrated, before closing the chapter with a discussion of the need to develop a proper system for fiscal accounting and auditing, which can prevent mismanagement and misconduct that eventually undermine popular support for local SDG projects.

Divestitures and other forms of organizational separation are not commonly associated with continuity and ongoing collaboration in inter-organizational relationships. Instead, separation is often equated with terminating relationships and gaining independence. Here, the authors argue that achieving separation does not require terminating relationships and that ongoing collaboration between separating entities may actually contribute to successful separation. The authors base this argument on the assertion that the objective of organizational separation is to achieve organizational autonomy for all entities involved and that separating entities can enable each other’s development of autonomy while remaining interdependent. The authors also discuss how collaborative separation may contribute to a range of benefits, as well as why it may nevertheless fail to emerge in practice. In this respect, the authors consider the relevance of ethical perspectives and emotional dynamics related to feelings of (dis)respect, (dis)trust, pride and shame. The authors conclude by discussing activities that may contribute to, and undermine, effective collaborative separation.