The global population is ageing, and by 2050, there will be almost 2.1 billion people over the age of 60 years. This ageing population means conditions such as diabetes are on the increase, as well as other conditions associated with ageing (and/or diabetes), including those that cause vision impairment, hearing impairment or foot problems. The aim of this scoping review is to identify the extent of the literature describing integration of services for adults of two or more of diabetes, eye, hearing or foot services.

The main database searches are of Medline and Embase, conducted by an information specialist, without language restrictions, for studies published from 1 January 2000 describing the integration of services for two or more of diabetes, eye, hearing and foot health in the private or public sector and at the primary or secondary level of care, primarily targeted to adults aged ≥40 years. A grey literature search will focus on websites of key organisations. Reference lists of all included articles will be reviewed to identify further studies. Screening and data extraction will be undertaken by two reviewers independently and any discrepancies will be resolved by discussion. We will use tables, maps and text to summarise the included studies and findings, including where studies were undertaken, which services tended to be integrated, in which sector and level of the health system, targeting which population groups and whether they were considered effective.

As our review will be based on published data, ethical approval will not be sought. This review is part of a project in Aotearoa New Zealand that aims to improve access to services for adults with diabetes or eye, hearing or foot conditions. The findings will be published in a peer-reviewed journal and presented at relevant conferences.

Individuals with dementia face an increased risk of falls. Falls can cause a decline in the individual’s overall functionality. All types of falls, including those that do not result in injury, can lead to psychosocial consequences, such as diminished confidence and a fear of falling. Projections indicate a rising trend in dementia diagnoses, implying an increase in fall incidents. Yet, there is a lack of evidence to support interventions for people living with dementia who have fallen. Our objective is to test the feasibility of a falls intervention trial for people with dementia.

This is a UK-based two-arm pilot cluster randomised controlled trial. In this study, six collaborating sites, which form the clusters, will be randomly allocated to either the intervention arm or the control arm (receiving treatment as usual) at a 1:1 ratio. During the 6 month recruitment phase, each cluster will enrol 10 dyads, comprising 10 individuals with dementia and their respective carers, leading to a total sample size of 60 dyads. The primary outcomes are the feasibility parameters for a full trial (ie, percentage consented, follow-up rate and cost framework). Secondary outcomes include activities of daily living, quality of life, fall efficacy, mobility, goal attainment, cognitive status, occurrence of falls, carer burden and healthcare service utilisation. Outcome measures will be collected at baseline and 28 weeks, with an additional assessment scheduled at 12 weeks for the healthcare service utilisation questionnaire. An embedded process evaluation, consisting of interviews and observations with participants and healthcare professionals, will explore how the intervention operates and the fidelity of study processes.

The study was approved by the NHS and local authority research governance and research ethics committees (NHS REC reference: 23/WA/0126). The results will be shared at meetings and conferences and will be published in peer-reviewed journals.

ISRCTN16413728.

To develop, test, validate and implement a system dynamics model to simulate the pandemic progress and the impact of various interventions on viral spread, healthcare utilisation and demand in secondary care.

We adopted the system dynamics model incorporating susceptible, exposed, infection and recovery framework to simulate the progress of the pandemic and how the interventions for the COVID-19 response influence the outcomes with a focus on secondary care.

This study was carried out covering all the local health systems in Southeast of England with a catchment population of six million with a specific focus on Kent and Medway system.

Six local health systems in Southeast of England using Kent and Medway as a case study.

Short to medium ‘what if’ scenarios incorporating human behaviour, non-pharmaceutical interventions and medical interventions were tested using the model with regular and continuous feedback of the model results to the local health system leaders for monitoring, planning and rapid response as needed.

Daily output from the model which included number infected in the population, hospital admissions needing COVID-19 care, occupied general beds, continuous positive airway pressure beds, intensive care beds, hospital discharge pathways and deaths.

We successfully implemented a regional series of models based on the local population needs which were used in healthcare planning as part of the pandemic response.

In this study, we have demonstrated the utility of system dynamics modelling incorporating local intelligence and collaborative working during the pandemic to respond rapidly and take decisions to protect the population. This led to strengthened cooperation among partners and ensured that the local population healthcare needs were met.