Exploring the Feasibility of a Caregiver Burden-Mastery Hybrid Assessment Tool With Decision Matrix in a Memory Clinic: A Multimethod Study.

Introduction: Family members caring for a person living with dementia (PWD) can experience caregiver burden, leading to psychological distress if unmanaged. It's essential for healthcare professionals, especially nurses to identify caregivers at risk of stress and depression, triggering prompt management during their contact with caregivers of PWD. The study team developed an evidence-based caregiver burden-mastery hybrid assessment and intervention decision matrix (CHAT-MI) for caregivers of PWD and examined its feasibility of use.

Developing a theory of change to guide the design and implementation of a caregiver-centric support service.

Background: Set against the backdrop of a rapidly ageing population and growing emphasis on the importance of ageing-in-place, family members often assume the role of a caregiver. Navigating through a complex healthcare system while simultaneously juggling the daily care needs of their care-recipients, caregivers often become worn out by the intense caregiver stress and burden, neglecting their own well-being. This translates to adverse health and economic outcomes such as prolonged hospital stays and increased nursing home placement of care-recipients.

Comparison of deep learning approaches to estimate injury severity from the International Classification of Diseases codes.

Objective: The injury severity classification based on the Abbreviated Injury Scale (AIS) provides information that allows for standardized comparisons for injury research. However, the majority of injury data is captured using the International Classification of Diseases (ICD), which lacks injury severity information. It has been shown that the encoder-decoder-based neural machine translation (NMT) model is more accurate than other methods for determining injury severity from ICD codes.

The Impact of Prior Obesity Surgery on Bleeding after Abdominal Body Contouring Surgery.

Background: Body contouring surgery removes excess skin and fat, often after massive weight loss. Some reports suggest that patients who have previously undergone obesity (bariatric) surgery are at excess risk of subsequent bleeding, possibly due to complex nutritional and metabolic sequelae of massive weight loss.

Methods: A retrospective cohort study of intraoperative blood loss and postoperative bleeding indicators were examined for patients who had undergone abdominoplasty.