This paper argues that a certain level of indeterminacy in policy design may be a factor facilitating rather than hindering system-level change in welfare governance arrangements, provided it is combined with the triggering of specific concatenations of social mechanisms shaping the dynamics of the change process. The argument is illustrated by an analysis of a case of systemic change in chronic disease management occurred in the Italian region of Lombardy over 2016–2017, when a radically novel governance of chronic disease for the 10 million population was put in place (a health care system that was later tested to its limits by the COVID-19 pandemic outburst which reached dramatic intensity in this region). This represented a major change in a key area of social and health policy. We claim that such change processes may be studied by means of the conceptual tools of social mechanisms. The analysis of social mechanisms represents a lively research agenda for explaining change in public governance and public policy.

Against the backdrop of mounting calls for the global scaling-up of mental health services – including quality care and prevention services – there is very little guidance internationally on strategies for scaling-up such services. Drawing on lessons from scale-up attempts in six low- and middle-income countries, and using exemplars from the front-lines in South Africa, we illustrate how health reforms towards people-centred chronic disease management provide enabling policy window opportunities for embedding mental health scale-up strategies into these reforms. Rather than going down the oft-trodden road of vertical funding for scale-up of mental health services, we suggest using the policy window that stresses global policy shifts towards strengthening of comprehensive integrated primary health care systems that are responsive to multimorbid chronic conditions. This is indeed a substantial opportunity to firmly locate mental health within these horizontal health systems strengthening funding agendas. Although this approach will promote systems more enabling of scaling-up of mental health services, implications for donor funders and researchers alike is the need for increased time commitments, resources and investment in local control.

Effective health information systems are essential to the delivery of high-quality community-based care for chronic disease which will be needed to address the changing healthcare needs of populations in low and middle-income country settings. Health management information systems (health service data collected at facility level) and electronic health records (data organised by individual patients) may support the measurement-based, collaborative approach that is central to the chronic care model, which has been adopted as the basis for task-shared models of care for mental health and non-communicable disease. We used the performance of routine information systems management to guide our commentary on the evidence-base about information systems to support chronic care. We found that, despite an appetite for using the information to support decision-making around service planning, this rarely happens in practice, reasons include that data is not perceived to be of good quality or fit for purpose. There is often a mismatch between technology design and the availability of specialised knowledge and infrastructure. However, when data collection is designed in collaboration with local stakeholders, there is some evidence of success, demonstrated by completion and accuracy of data forms. Whilst there are global targets for the development of health information systems and progress on these is undoubtedly being made, indicators for chronic disease are seldom prioritised by national governments and there is insufficient decentralisation to facilitate local data-driven decision-making. Our recommendations for future research and development, therefore, focus upon the need to integrate context into the design of information systems: through building strong multisectoral partnerships, ensuring newly developed indicators are well aligned to service models and using technology that is a good fit with local infrastructure. This approach will be necessary if information systems are to deliver on their potential to drive improvements in care for chronic disease.

Against the backdrop of mounting calls for the global scaling-up of mental health services – including quality care and prevention services – there is very little guidance internationally on strategies for scaling-up such services. Drawing on lessons from scale-up attempts in six low- and middle-income countries (LMICs), and using exemplars from the front-lines in South Africa; we illustrate how health reforms towards people-centred chronic disease management provide enabling policy window opportunities for embedding mental health scale-up strategies into these reforms. Rather than going down the oft-trodden road of vertical funding for scale-up of mental health services, we suggest using the policy window that stresses global policy shifts towards strengthening of comprehensive integrated primary health care systems that are responsive to multimorbid chronic conditions. This is indeed a substantial opportunity to firmly locate mental health within these horizontal health systems strengthening funding agendas. While this approach will promote systems more enabling of scaling up of mental health services, implications for donor funders and researchers alike is the need for increased time commitments, resources and investment in local control.

Quality of life and well-being of older patients in chronic care facilities is often determined by their relationships with nurses. The authors developed and tested a scale to assess patients’ views of what matters most when relating to nurses. Based on the humanistic nursing theory by Paterson and Zderad (1988), 69 items were created and tested with a sample of 40 patients, resulting in refinement of a scale with 24 items. This scale was factor analysed on responses from 249 patients residing in five facilities in Ontario, Canada. The Humanistic Relationship Importance Scale demonstrated strong internal consistency, stability, and reliability with a five-factor solution (α = .87). Construct validity was supported through factual identification. This scale is a valid measure of patients’ perspectives of a nurse-patient relationship in chronic care and can be used to measure health professionals’ relationships with their older patients and evaluate interventions to enhance relational care.