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Care pathways are becoming increasingly popular within UK healthcare organisations yet very little is known about the tool. Using the results from a survey of healthcare organisations, which are members of the National Pathways Association (NPA), the author suggests that different models of care pathways are being implemented. Four models or different types of care pathways are identified, with different features in each model. The models can be used prospectively by organisations to decide which particular features they may want to include. Alternatively, the models can be used as an assessment tool to identify the type of pathway being developed. This assessment can form the basis for any future evaluations of the effectiveness of the pathways which are developed.

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.

The purpose of this paper is to report on the origins, development and early impacts of a Health Care Home (HCH) model of care being rolled out around New Zealand (NZ).

This paper draws on a literature review on HCHs and related developments in primary health care, background discussions with key players, and a review of significant HCH implementation documents.

The HCH model of care is emerging from the sector itself and is being tailored to local needs and to meet the needs of local practices. A key focus in NZ seems to be on business efficiency and ensuring sustainability of general practice – with the assumption that freeing up general practitioner time for complex patients will mean better care for those populations. HCH models of care differ around the world and NZ needs its own evidence to show the model’s effectiveness in achieving its goals.

It is still early days for the HCH model of care in NZ and the findings in this paper are based on limited evidence. Further evidence is needed to identify the model’s full impact over the next few years.

This paper is one of the first to explore the HCH model of care in NZ.

The purpose of this review was to explore the literature for evidence of the impact of interprofessional practice models on health service inequity, particularly within community care settings for diverse ageing populations.

An integrative systematic literature review was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework combined with the EndNote reference management system. Following the collection and comprehensive screening process completion, a thematic analysis of the included articles occurred utilising within NVivo 12 software.

The review found that there was a paucity of evidence related to the relationship between interprofessional practice models (IPM) and health service equity for ageing populations. There is a need to improve collaborative practices between social care, public health care and health service providers to more clearly define team member roles. Key aspirations included the need for future innovations in health service delivery to place health service equity as a goal for interprofessional practice. There is a need to find ways to measure and articulate the impact for vulnerable populations and communities.

The review offers insight into the need for health care delivery models to place health service equity at the centre of the model design. In practice settings, this includes setting interprofessional team goals around achieving equitable care outcomes for, and with, vulnerable populations. Implications for practice relate to improving how interprofessional teams work with communities to achieve health care equity.

There is a consensus across the literature that there continues to be health service inequity, yet IPE and interprofessional collaborative practice (IPC) have been growing in momentum for some time. Despite many statements that there is a link between interprofessional practice and improved health service equity and health outcomes, evidence for this is yet to be fully realised. This review highlights the urgent need to review the link between education and practice, and innovative health models of care that enable heath care professionals and social care providers to work together towards achieving health equity for ageing populations. It is clear that more evidence is required to establish evidence for best practice in interprofessional care that has the mitigation of health care inequity as a central objective.

The ageing of the world’s population is causing an increase in the number of frail patients admitted to hospitals. In the absence of appropriate management and organisation, these patients risk an excessive length of stay and poor outcomes. To deal with this problem, the purpose of this paper is to propose a conceptual model to facilitate the pathway of frail elderly patients across acute care hospitals, focussed on avoiding improper wait times and treatment during the process.

The conceptual model is developed to enrich the standard flowchart of a clinical pathway in the hospital. The modified flowchart encompasses new organisational units and activities carried out by new dedicated professional roles. The proposed variant aims to provide a correct assessment of frailty at the entrance, a better management of the patient’s stay during different clinical stages and an early discharge, sending the patient home or to other facilities, avoiding a delayed discharge. The model is completed by a set of indicators aimed at measuring performance improvements and creating a strong database of evidence on the managing of frail elderly’s pathways, providing proper information that can validate the model when applied in current practice.

The paper proposes a design of the clinical path of frail patients in acute care hospitals, combining elements that, according to an evidence-based management approach, have proved to be effective in terms of outcomes, costs and organisational issues. The authors can, therefore, expect an improvement in the treatment of frail patients in hospital, avoiding their functional decline and worsening frailty conditions, as often happens in current practice following the standard path of other patients.

The framework proposed is a conceptual model to manage frail elderly patients in acute care wards. The research approach lacks application to real data and proof of effectiveness. Further work will be devoted to implementing a simulation model for a specific case study and verifying the impact of the conceptual model in real care settings.

The paper includes suggestions for re-engineering the management of frail elderly patients in hospitals, when a reduction of lengths of stay and the improvement of clinical outcomes is required.

This paper fulfils an identified need to study and provide solutions for the management of frail elderly patients in acute care hospitals, and generally to produce value in a patient-centred model.

To solve the problem, a mathematical model is proposed; it relies on a directed acyclic graph (DAG), in which arcs are used to indicate whether a pair of appointments can be assigned to the same route or not (and so to the same care worker). The proposed model aims at minimizing the personnel required to meet daily demand and balancing workloads among the workers while considering the varying traffic patterns derived from traffic congestion.

This paper aims at providing solution approaches for addressing the problem of assigning care workers to deliver home health-care (HHC) services, demanding different skills each. First, a capacity planning problem is considered, where it is necessary to define the number of workers required to satisfy patients' requests and then, patients are assigned to the care workers along with the sequence followed to visit them, thus solving a scheduling problem. The benefits obtained by permitting patients to propose multiple time slots where they can be served are also explored.

The results indicate that the problem can be efficiently solved for medium-sized instances, that is, up to 100 daily patient requests. It is also indicated that asking patients to propose several moments when they can receive services helps to minimize the need for care workers through more efficient route allocations without affecting significantly the balance of the workloads.

This article provides a new framework for modeling and solving a HHC routing problem with multiskilled personnel. The proposed model can be used to identify efficient daily plans and can handle realistic characteristics such as time-dependent travel times or be extended to other real-life applications such as maintenance scheduling problems.

The scaling up of promising, innovative integration projects presents challenges to social and health care systems. Evidence that a new service provides (cost) effective care in a (pilot) locality can often leave us some way from understanding how the innovation worked and what was crucial about the context to achieve the goals evidenced when applied to other localities. Even unpacking the “black box” of the innovation can still leave gaps in understanding with regard to scaling it up. Theory-led approaches are increasingly proposed as a means of helping to address this knowledge gap in understanding implementation. Our particular interest here is exploring the potential use of theory to help with understanding scaling up integration models across sites. The theory under consideration is Normalisation Process Theory (NPT).

The article draws on a natural experiment providing a range of data from two sites working to scale up a well-thought-of, innovative integrated, primary care-based dementia service to other primary care sites. This provided an opportunity to use NPT as a means of framing understanding to explore what the theory adds to considering issues contributing to the success or failure of such a scaling up project.

NPT offers a framework to potentially develop greater consistency in understanding the roll out of models of integrated care. The knowledge gained here and through further application of NPT could be applied to inform evaluation and planning of scaling-up programmes in the future.

The research was limited in the data collected from the case study; nevertheless, in the context of an exploration of the use of the theory, the observations provided a practical context in which to begin to examine the usefulness of NPT prior to embarking on its use in more expensive, larger-scale studies.

NPT provides a promising framework to better understand the detail of integrated service models from the point of view of what may contribute to their successful scaling up.

NPT potentially provides a helpful framework to understand and manage efforts to have new integrated service models more widely adopted in practice and to help ensure that models which are effective in the small scale develop effectively when scaled up.

This paper examines the use of NPT as a theory to guide understanding of scaling up promising innovative integration service models.

Older people living in nursing homes have complex care needs and frequently need specialists’ advice and support that can be challenging to deliver in a rural setting. The aim of this paper is to describe a model of integrated care in a rural area supported by a nurse case manager.

A real-world evidence study of people living in Ribes de Freser nursing home, was conducted between specific timeframes in 2019 and 2022, comparing the casemix and outcomes of a traditional care model with the integrated interdisciplinary model.

The integrated care model led to a significant reduction in transfers to the emergency department, hospitalisations, outpatient medical visits and a reduction in the number of medicines. In addition, the number of residents receiving end-of-life care at the nursing home showed a substantial increase.

This case study contributes valuable evidence supporting the implementation of an integrated model of nurse case manager support in nursing homes, particularly in the rural contexts, where access to specialist medical staff may be limited. The findings highlight the potential benefits of person-centred integrated care for older adults, addressing their complex needs and improving end-of-life care in nursing home settings.

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.

While there is established research that explores individual innovations across countries or developments in a specific health area, there is less work that attempts to match national innovations to specific systems of health governance to uncover themes across nations.

We used a cross-comparison design that employed content analysis of health governance models and innovation patterns in eight OECD nations (Australia, Britain, Canada, France, Germany, the Netherlands, Switzerland, and the United States).

Country-level model of health governance may impact the focus of health innovation within the eight jurisdictions studied. Innovation across all governance models has targeted consumer engagement in health systems, the integration of health services across the continuum of care, access to care in the community, and financial models that drive competition.

Improving our understanding of the linkage between health governance and innovation in health systems may heighten awareness of potential enablers and barriers to innovation success.