At the grassroots of home and community-based aged care: strategies for successful consumer engagement

The critical need to accelerate cerebral palsy research with consumer engagement, global networks, and adaptive designs

The prevalence of cerebral palsy (CP) varies globally, with higher rates and burden of disease in low- and middle-income countries. CP is a lifelong condition with no cure, presenting diverse challenges such as motor impairment, epilepsy, and mental health disorders. Research progress has been made but more is needed, especially given consumer demands for faster advancements and improvements in the scientific evidence base for interventions. This paper explores three strategies to accelerate CP research: consumer engagement, global clinical trial networks, and adaptive designs. Consumer engagement involving individuals with lived experience enhances research outcomes. Global clinical trial networks provide efficiency through larger and more diverse participant pools. Adaptive designs, unlike traditional randomized controlled trials, allow real-time modifications based on interim analyses, potentially answering complex questions more efficiently. The establishment of a CP Global Clinical Trials Network, integrating consumer engagement, global collaboration, and adaptive designs, marks a paradigm shift. The Network aims to address consumer-set research priorities. While challenges like ethical considerations and capacity building exist, the potential benefits for consumers, clinicians, researchers, and funding bodies are substantial. This paper underscores the urgency of transforming CP research methodologies for quicker translation of novel treatments into clinical practice to improve quality of life for those with CP.

Co-designing a dashboard of predictive analytics and decision support to drive care quality and client outcomes in aged care: a mixed-method study protocol

INTRODUCTION

There is a clear need for improved care quality and quality monitoring in aged care. Aged care providers collect an abundance of data, yet rarely are these data integrated and transformed in real-time into actionable information to support evidence-based care, nor are they shared with older people and informal caregivers. This protocol describes the co-design and testing of a dashboard in residential aged care facilities (nursing or care homes) and community-based aged care settings (formal care provided at home or in the community). The dashboard will comprise integrated data to provide an 'at-a-glance' overview of aged care clients, indicators to identify clients at risk of fall-related hospitalisations and poor quality of life, and evidence-based decision support to minimise these risks. Longer term plans for dashboard implementation and evaluation are also outlined.

METHODS

This mixed-method study will involve (1) co-designing dashboard features with aged care staff, clients, informal caregivers and general practitioners (GPs), (2) integrating aged care data silos and developing risk models, and (3) testing dashboard prototypes with users. The dashboard features will be informed by direct observations of routine work, interviews, focus groups and co-design groups with users, and a community forum. Multivariable discrete time survival models will be used to develop risk indicators, using predictors from linked historical aged care and hospital data. Dashboard prototype testing will comprise interviews, focus groups and walk-through scenarios using a think-aloud approach with staff members, clients and informal caregivers, and a GP workshop.

ETHICS AND DISSEMINATION

This study has received ethical approval from the New South Wales (NSW) Population & Health Services Research Ethics Committee and Macquarie University's Human Research Ethics Committee. The research findings will be presented to the aged care provider who will share results with staff members, clients, residents and informal caregivers. Findings will be disseminated as peer-reviewed journal articles, policy briefs and conference presentations.

The effect of community nursing based on the Roy adaptation model on postpartum depression and sleep quality of parturients

OBJECTIVE

The study aimed to explore the effect of community nursing based on the Roy adaptation model on postpartum depression and sleep quality of parturients.

METHODS

According to different nursing methods, 96 parturients with postpartum depression were selected and divided into 47 cases in the regular group (undergoing regular nursing) and 49 cases in the combined group (undergoing community nursing based on the Roy adaptation model). The improvement in depression and sleep quality was compared between the two groups.

RESULTS

Comparison of the Hamilton Depression Scale (HAMD), Self-Rating Depression Scale (SDS) and Edinburgh Postpartum Depression Scale (EPDS) scores between the two groups showed that the above mentioned scores at intervention for 3 months < those of intervention for 2 months < those of intervention for 1 month < those of before intervention; showing significant differences (P<0.05). The scores of HAMA, SDS and EPDS in the combined group after intervention for 1, 2 and 3 months were significantly lower than those in the regular group (P<0.05). After intervention, the total score and the scores of all dimensions of Pittsburgh Sleep Quality Index (PSQI) were decreased in the two groups (P<0.05), and the combined group had scores that were significantly lower than the regular group (P<0.05).

CONCLUSION

The use of community nursing intervention based on the Roy adaptation model for postpartum depressed parturients can effectively alleviate depression and improve sleep quality.