Conectar
Medical device–related pressure injuries are a significant and largely preventable patient safety problem, yet existing pressure injury risk scales do not adequately capture device-specific risk factors in adults. This methodological study developed and psychometrically evaluated a standardized risk assessment scale to identify medical device–related pressure injury risk in hospitalized adult patients. An initial item pool was generated from an extensive literature review and clinical expertise, and content validity was assessed by seven experts using the Davis technique (content validity index = 0.96). The scale was administered to 160 adults receiving at least one medical device in medical, surgical and oncology wards and intensive care units of a university hospital. Construct validity was evaluated using binary logistic regression, exploratory factor analysis, and receiver operating characteristic curve analysis, demonstrating strong discrimination (area under the curve = 0.844, 95% confidence interval 0.728–0.961) with an optimal cut-off score of 14.5 (sensitivity 70.6%, specificity 88.8%). Exploratory factor analysis of the final version of the MedRAS (Kaiser-Meyer-Olkin = 0.792) revealed a two-factor structure (Device and Mechanical Factors; Patient and Tissue Factors) explaining 50.92% of the total variance, with all factor loadings above 0.30. The scale showed good internal consistency (Cronbach's alpha = 0.80) and very good inter-rater reliability (Cohen's kappa = 0.806, p < 0.001). This device-focused scale may support early risk identification and targeted preventive nursing interventions, with potential to improve patient safety and quality of care in inpatient/critical care settings.
To examine the geospatial distribution of gestational diabetes mellitus (GDM) over time in Australia.
An ecological study was conducted using data from the National Diabetes Services Scheme (GDM cases). Data at Statistical Area Level 2 (SA2) level, a medium-sized spatial unit, on population denominators (women who gave birth) were obtained from the Australian Bureau of Statistics. The spatiotemporal distribution of GDM was explored at the SA2 level over three periods: 2016–2017, 2018–2019 and 2020–2021. Hotspot and cluster analyses were undertaken using Getis-Ord Gi* and local Moran’s I statistics.
A nationwide study in Australia was conducted between 2016 and 2021.
Women diagnosed with GDM and those who gave birth were included.
Age-standardised and crude incidence of GDM per SA2.
During 2016–2021, 1 718 963 eligible women who gave birth in Australia were included. Hotspot areas of GDM were consistently observed in Victoria (Southwest and North Melbourne); Western Australia (South and Southwest Perth); Australian Capital Territory (ACT) (East and North Canberra); Queensland (North Brisbane) and New South Wales (West and Southwest Sydney and Southeast New South Wales). ACT (South Canberra), North Tasmania, Northern Territory (North Darwin) and Victoria (South East Melbourne) had new hotspot regions recorded in the last two consecutive study periods.
GDM incidence varies by geographical area over time, with hotspots in specific regions suggesting the need for geographically targeted policy interventions to curb the growing burden of GDM.
FreshRSS 