Objective: We aimed to test the hypothesis that automated fibrosis score calculation and electronic reminder messages could increase the detection of advanced liver disease in patients with type 2 diabetes.
Design: In this pragmatic randomised controlled trial at five general medical or diabetes clinics in Hong Kong and Malaysia, we randomly assigned patients in a 1:1 ratio to the intervention group with Fibrosis-4 index and aspartate aminotransferase-to-platelet ratio index automatically calculated based on routine blood tests, followed by electronic reminder messages to alert clinicians of abnormal results, or the control group with usual care. The primary outcome was the proportion of patients with increased fibrosis scores who received appropriate care (referred for hepatology care or specific fibrosis assessment) within 1 year.
Results: Between May 2020 and Oct 2021, 1379 patients were screened, of whom 533 and 528 were assigned to the intervention and control groups, respectively. A total of 55 out of 165 (33.3%) patients with increased fibrosis scores in the intervention group received appropriate care, compared with 4 of 131 (3.1%) patients in the control group (difference 30.2% (95% CI 22.4% to 38%); p<0.001). Overall, 11 out of 533 (2.1%) patients in the intervention group and 1 out of 528 (0.2%) patients in the control group were confirmed to have advanced liver disease (difference 1.9% (95% CI 0.61% to 3.5%); p=0.006).
Conclusion: Automated fibrosis score calculation and electronic reminders can increase referral of patients with type 2 diabetes and abnormal fibrosis scores at non-hepatology settings.
Trial Registration Number: NCT04241575.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10715546 | PMC |
http://dx.doi.org/10.1136/gutjnl-2023-330269 | DOI Listing |
Biol Psychiatry Cogn Neurosci Neuroimaging
December 2024
Department of Psychiatry and Behavioral Medicine, Medical College of Wisconsin, Milwaukee, WI, USA. Electronic address:
Background: Prolonged Grief Disorder is a multidimensional condition with adverse health consequences. We hypothesized that enhanced negative emotional bias characterizes this disorder and underlies its key clinical symptoms.
Methods: In a cross-sectional design, chronically grieving older adults (61.
Semin Oncol Nurs
December 2024
Associate Professor, Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore. Electronic address:
Objective: Evolving digital technology has paved the way for endless potentiality. Leveraging on digital technology for healthcare purposes can target cancer patients, thus improving physical and psychological symptoms. Nevertheless, there is limited consolidated evidence on the effectiveness of virtual reality (VR) and mobile applications.
View Article and Find Full Text PDFJ Voice
December 2024
Carl von Ossietzky University Oldenburg, University Clinic for Visceral Surgery, Ammerländer Heerstraße 114-118, 26129 Oldenburg, Germany.
Objective: The care of patients with dysphonia will change due to the growing shortage of specialists, demographic change, and digitalization. To counteract the associated problems in patient care, the LAOLA app demonstrator is to be developed. In the future, patients will receive exercise videos for their training from their treating speech and language pathologist (SLP) via LAOLA.
View Article and Find Full Text PDFVaccine
December 2024
Access to Medicines Research Centre, Faculty of Economics and Business, KU Leuven, 3000 Leuven, Belgium.
Background: Immunization is pivotal for health-related sustainable development, necessitating resilient and sustainable immunization systems. This scoping review explores challenges and strategies for sustained vaccine uptake in the new Decade of Vaccines (2021-2030) within sub-Saharan Africa, encompassing routine and non-routine vaccines.
Methods: The review followed the Joanna Briggs Institute's methodology to examine English-language articles published from January 01, 2021, to May 29, 2023.
Data to Care (D2C) strategies - using routine data to facilitate identification and linkage back to care of people living with HIV who are not in care - have shown promise in high-income settings but received little attention in lower resourced or vertical HIV transmission prevention (VTP) contexts. In this proof-of-concept study, we monitored existing linked electronic medical records in near real-time to identify key gaps in postpartum VTP steps among 336 mothers living with HIV and their infants in Cape Town, South Africa (recruited March 2021 - April 2022). We attempted to confirm observed gaps through source data systems and telephonic tracing, and facilitated re-engagement in care where needed.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!