Clinical trials

The goal of this trial is to evaluate whether a digital needs-assessment tool can improve care planning and outcomes for frail older adults (aged 60 years and above) hospitalized in Singapore. The tool is designed to identify patients' health and social service needs and support better care coordination after hospital discharge. The main questions it aims to answer are: * Does the use of a digital needs-assessment tool improve the identification and management of health and social service needs in frail older adults? * Does this approach improve patient outcomes, such as quality of life, care satisfaction, and healthcare utilization after discharge? Participants will: * Respond to a baseline questionnaire * Receive a personalized care plan based on identified needs by the tool * Be followed up at 1 month and 3 months after discharge through surveys * Some participants will receive additional follow-up phone calls to review care needs and service use * A subset of participants will take part in interviews to share their care experiences

The study aims to develop a mobile-app (Care Buddy) which will be a one-stop integrated source of information and technology-based solutions for caregivers of people with dementia (PWDs). Study aims to bring caregivers into closer partnerships with the wider ecosystem (e.g., healthcare practitioners, community services, peer support, and care service providers) which will ultimately improve outcomes for both PWDs and their caregivers.

'My Voice' is a website intervention developed to enable advance care planning (ACP) conversations for patients with kidney disease on dialysis, educate patients on their illness, help identify their goals and preferences for EOL care, and coaches them on how to speak with their HCPs and loved ones. This study aims to evaluate if 'My Voice' intervention improves quality of ACP conversations between patients and providers, and patients and family carers; improves patient's knowledge about kidney failure, engagement in ACP and preparedness for future end of life care compared to usual practices for ACP in dialysis centres.

The global epidemic of obesity and chronic diseases has led to widespread use of front-of-package (FOP) nutrition labels. While existing research has established a link between FOP labels and consumer choices, the interplay between product types, consumer perceptions, and label effectiveness is underexplored. This study examines: 1) whether consumers perceive healthier food item as more expensive when healthiness is less obvious; 2) how FOP labels mediate the relationship among product characteristics, price, and consumer's belief about food healthiness and price on choices; and 3) whether food choice changes given a price, with and without FOP labels, are more prominent for products where the perceived healthiness by consumers significantly differs from label indications. The investigators will conduct experiments with online panelists in Korea and Singapore in two settings: restaurant menus and grocery items. Results will inform more impactful nutritional information policies for healthier food choices and improved population health.

Background: Falls and fall-related injuries among older adults are a significant health problem that results in injuries, prolonged hospitalisation, reduced mobility, and poorer quality of life. Previous falls prevention programs have demonstrated the effectiveness of multi-component falls prevention interventions in improving functional outcomes and reducing falls compared to usual care. A previous trial of a tailored multi-component falls intervention program for older adults recruited from the emergency department (SAFE) found that there is significant heterogeneity in terms of falls risk factors in high falls risk older adults. Thus, the effectiveness of SAFE in participants with poorer cognitive function or had more comorbidities were less effective and less cost-effective. Therefore, the aim of this trial is to demonstrate the effectiveness of a technology-enhanced, multi-domain and multi-component falls prevention intervention in reducing number of fallers and injurious fallers among older adults with elevated fall risk. Hypothesis: Using novel wearable technologies to a) identify older adults who are at high risk of falls and more likely to benefit from a multi-component intervention and b) tailor the exercise and educational components by giving individualized biofeedback will improve the effectiveness of an enhanced multi-domain, multi-component falls intervention program for community dwelling older adults. Methodology: This study is a randomized controlled trial aimed at demonstrating the effectiveness of a technology-enhanced, multi-domain and multi-component falls prevention intervention (SAFE-TECH) in community- dwelling older adults with elevated fall risk compared with usual care. Participants in both arms are selected based on questionnaire based and wearable sensor based predictions of their falls risk. Participants in the intervention arm will receive a 12-week active falls intervention program consisting of exercise and educational components, with detailed biofeedback of their functional status.

Randomized Clinical Trial of the impact of Chest radiograph AI-assisted triage and report generation upon clinical outcomes and an economic analysis of impact of AI decision support on radiology service delivery.