Background And Objectives: Incidence of type 1 diabetes mellitus (T1DM) is increasing, and these patients often have poor glycemic control. Electronic dashboards summating patient data have been shown to improve patient outcomes in other conditions. In addition, educating patients on T1DM has shown to improve glycated hemoglobin (A1C) levels. We hypothesized that using data from the electronic dashboard to monitor defined diabetes management activities to implement population-based interventions would improve patient outcomes.
Methods: Inclusion criteria included patients aged 0 to 18 years at Phoenix Children's Hospital with T1DM. Patient data were collected via the electronic dashboard, and both diabetes management activities (A1C, patient admissions, and visits to the emergency department) and patient outcomes (patient education, appointment compliance, follow-up after hospital admission) were analyzed.
Results: This study revealed that following implementation of the electronic dashboard, the percentage of patients receiving appropriate education increased from 48% to 80% (Z-score = 23.55, < .0001), the percentage of patients attending the appropriate number of appointments increased from 50% to 68.2%, and the percentage of patients receiving follow-up care within 40 days after a hospital admission increased from 43% to 70%. The median A1C level decreased from 9.1% to 8.2% (Z-score = -6.74, < .0001), and patient admissions and visits to the emergency department decreased by 20%.
Conclusions: This study shows, with the implementation of an electronic dashboard, we were able to improve outcomes for our pediatric patients with T1DM. This tool can be used at other institutions to improve care and outcomes for pediatric patients with T1DM and other chronic conditions.
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http://dx.doi.org/10.1177/19322968231159401 | DOI Listing |
BMJ Open Qual
January 2025
Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
Background: Attending to patient-reported outcomes (PROs) using data visualisation dashboards could enhance shared decision-making (SDM) and care delivery for serious chronic illnesses. However, few studies have evaluated real-world strategies and resulting implementation outcomes of PRO dashboards.
Method: From June 2020 to January 2022, we implemented an electronic health record (EHR)-integrated PRO dashboard for advanced cancer and chronic kidney disease.
Background: The increased use of chemicals leads to a continuous deposition of chemicals in the environment and to a continuous increase in exposure of the global and the European population. Comprehensive burden of disease analyses are however still missing for many countries.
Methods: Using the World Health Organization's Environmental Burden of Disease (EBD) approach and combining data from the European Human Biomonitoring (HBM) dashboard with disease and population data, we estimated the comprehensive attributable burden (AB) for the year 2021, in the best-case quantified by disability-adjusted life years (DALY).
Healthcare (Basel)
January 2025
Meco Health Centre, Community of Madrid Health Service (SERMAS), 28880 Madrid, Spain.
The COVID-19 pandemic made people face the fact that we are all vulnerable. This vulnerability can be measured through the Basic Variables of Care (BVC) using the Care Vulnerability Index (CVI). Health systems work with indicators that nurses can consult to understand the care and health situation of their population.
View Article and Find Full Text PDFJBI Evid Implement
January 2025
Queensland Digital Health Centre, Centre for Health Services Research, Faculty of Medicine, The University of Queensland, Brisbane, Qld, Australia.
Abstract: Inpatient diabetes management presents a complex challenge that is distinct from outpatient management. This is due to acute changes in physiology, medication regimens, and eating patterns associated with hospitalization, alongside the condition's prevalent and variable nature. The conventional systems for managing glycemic control in hospital have been found lacking, with gaps in data integration, decision support, and timely intervention.
View Article and Find Full Text PDFJMIR Form Res
January 2025
Oracle, The Edge Building, Al Falak Street, Dubai Internet City, Dubai, United Arab Emirates, 971 558620820.
Background: Primary health care (PHC) services face operational challenges due to high patient volumes, leading to complex management needs. Patients access services through booked appointments and walk-in visits, with walk-in visits often facing longer waiting times. No-show appointments are significant contributors to inefficiency in PHC operations, which can lead to an estimated 3%-14% revenue loss, disrupt resource allocation, and negatively impact health care quality.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!