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First, to investigate residential aged care staff's knowledge and understanding of residents after viewing their digital life story. Second, to examine the stability of this knowledge and understanding. Third, to explore staff's self-reported care practices following digital life story viewing.
Australian aged care quality standards include person-centred care practices, although opportunity for residents' identity expression can be limited by the facility environment. Staff cannot implement such practices without first understanding residents' history, preferences, and values.
The study used a convergent mixed methods design.
Residential aged care staff (n = 61) viewed a resident's digital life story and completed a measure of their knowledge and understanding of the resident at pre-test, post-test, and follow-up. At post-test and follow-up, staff were also asked to indicate if viewing the story had improved their interactions and care practices with the resident and to describe changes in their practice. Pre-test, post-test and follow-up scores of the measure were compared using a repeated measures analysis of variance with post hoc comparisons. Qualitative responses were analysed using thematic analysis.
Scores at post-test and follow-up were significantly higher than at pre-test, showing a stable improvement in knowledge and understanding of residents. Staff responses indicated their knowledge and understanding of residents' life story enhanced their care towards the residents.
Watching digital life stories was associated with stable improvements in staff's knowledge of residents, with staff feeling better equipped to personalise care practices.
Digital life stories about aged-care residents may support staff's improved knowledge and understanding of their care-recipients. With such understanding, staff are more equipped to implement person-centred care practices by Australian aged care quality standards.
The study adhered to guidelines for Revised Standards for Quality Improvement Reporting Excellence (SQUIRE 2.0).
No patient or public contribution.
To assess the effectiveness of random capillary blood glucose as a diagnostic tool for type 2 diabetes and determine optimal cut-off values for adults in Bangladesh.
Cross-sectional diagnostic accuracy study.
16 diabetes centres were selected randomly from all eight administrative divisions of Bangladesh.
A total of 3200 adults aged 18 years and older were recruited using systematic random sampling between May and September 2022.
The primary outcome was the diagnostic accuracy of random capillary blood glucose compared to fasting plasma glucose, 2-hour plasma glucose after a 75-gram glucose load and glycated haemoglobin. Secondary outcomes included sensitivity, specificity, area under the curve and agreement with the other diagnostic tests.
Random capillary blood glucose showed a strong positive correlation and high concordance with fasting plasma glucose, 2-hour plasma glucose and glycated haemoglobin. A cut-off value of ≥8.7 mmol/L demonstrated improved diagnostic performance compared with the currently used cut-off of ≥11.1 mmol/L. This new threshold yielded higher sensitivity, specificity, area under the curve and agreement with other standard diagnostic tests. Notably, hyperglycaemic symptoms were not required for diagnosis. The number needed to screen to identify one case of type 2 diabetes using the ≥8.7 mmol/L cut-off was 2.74, lower than that for fasting plasma glucose (2.86) and random capillary blood glucose ≥11.1 mmol/L (4.68).
Random capillary blood glucose may be an effective and affordable diagnostic tool for type 2 diabetes in resource-limited settings. The proposed cut-off of ≥8.7 mmol/L offers improved diagnostic accuracy and reflects the population’s glucose distribution pattern.
FreshRSS 