Objective: To assess the effects of web-based care management on glucose and blood pressure control over 12 months in patients with poorly controlled diabetes.

Research Design And Methods: For this study, 104 patients with diabetes and HbA(1c) (A1C) > or =9.0% who received their care at a Department of Veterans Affairs medical center were recruited. All participants completed a diabetes education class and were randomized to continue with their usual care (n = 52) or receive web-based care management (n = 52). The web-based group received a notebook computer, glucose and blood pressure monitoring devices, and access to a care management website. The website provided educational modules, accepted uploads from monitoring devices, and had an internal messaging system for patients to communicate with the care manager.

Results: Participants receiving web-based care management had lower A1C over 12 months (P < 0.05) when compared with education and usual care. Persistent website users had greater improvement in A1C when compared with intermittent users (-1.9 vs. -1.2%; P = 0.051) or education and usual care (-1.4%; P < 0.05). A larger number of website data uploads was associated with a larger decline in A1C (highest tertile -2.1%, lowest tertile -1.0%; P < 0.02). Hypertensive participants in the web-based group had a greater reduction in systolic blood pressure (P < 0.01). HDL cholesterol rose and triglycerides fell in the web-based group (P < 0.05).

Conclusions: Web-based care management may be a useful adjunct in the care of patients with poorly controlled diabetes.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1262644PMC
http://dx.doi.org/10.2337/diacare.28.7.1624DOI Listing

Publication Analysis

Top Keywords

care management
24
web-based care
20
patients controlled
12
blood pressure
12
usual care
12
web-based group
12
care
11
web-based
8
controlled diabetes
8
glucose blood
8

Similar Publications

Background: This study aimed to identify a set of newborn signal functions (NSFs) that can categorize health facilities and assist policymakers and health managers in appropriately planning and adequately monitoring the progress and performance of health facilities delivering newborn health care in Bangladesh and similar low-income settings.

Methods: A modified Delphi method was used to identify a set of NSFs and a cross-sectional health facility assessment among the randomly selected facilities was conducted to test them in public health facilities in Bangladesh. In the modified Delphi approach, three main steps of listing, prioritizing, and testing were followed to identify the set of NSFs.

View Article and Find Full Text PDF

Hepatitis C virus (HCV) disproportionately affects certain sub-populations, including people with experience of incarceration (PWEI). Little is known about how perceptions of HCV and treatment have changed despite simplifications in testing and treatment in carceral settings. Nineteen semi-structured interviews were conducted with people living with or having a history of HCV infection released from Quebec provincial prison.

View Article and Find Full Text PDF

In this study, we introduce a novel approach that integrates interpretability techniques from both traditional machine learning (ML) and deep neural networks (DNN) to quantify feature importance using global and local interpretation methods. Our method bridges the gap between interpretable ML models and powerful deep learning (DL) architectures, providing comprehensive insights into the key drivers behind model predictions, especially in detecting outliers within medical data. We applied this method to analyze COVID-19 pandemic data from 2020, yielding intriguing insights.

View Article and Find Full Text PDF

Hepatitis C Virus-Core Antigen: Implications in Diagnostic, Treatment Monitoring and Clinical Outcomes.

Viruses

November 2024

Center of Excellence in Clinical Virology, Department of Pediatrics, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand.

The hepatitis C virus (HCV) infection, a global health concern, can lead to chronic liver disease. The HCV core antigen (HCVcAg), a viral protein essential for replication, offers a cost-effective alternative to HCV RNA testing, particularly in resource-limited settings. This review explores the significance of HCVcAg, a key protein in the hepatitis C virus, examining its structure, function, and role in the viral life cycle.

View Article and Find Full Text PDF

Human Papillomavirus (HPV) infection is a significant global health concern linked to various cancers, particularly cervical cancer. Timely and accurate detection of HPV is crucial for effective management and prevention strategies. Traditional laboratory-based HPV testing methods often suffer from limitations such as long turnaround times, restricted accessibility, and the need for trained personnel, especially in resource-limited settings.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!