Cluster randomized controlled trial of TIA electronic decision support in primary care.

Neurology

From the Department of Neurology (A.R.), MidCentral District Health Board, Palmerston North; the Department of Medicine (A.R., M.W., D.O.), University of Otago-Wellington; the Department of General Practice and Rural Health (S.D., M.T.), University of Otago, Dunedin School of Medicine; and the Department of Medicine (J.G.), Hawke's Bay District Health Board, Hastings, New Zealand.

Published: April 2015

Objective: To test if TIA/stroke electronic decision support in primary care improves management.

Methods: Multicenter, single-blind, parallel-group, cluster randomized, controlled trial comparing TIA/stroke electronic decision support guided management with usual care. Main outcomes were guideline adherence and 90-day stroke risk. Secondary outcomes were cerebrovascular/vascular/death/adverse events, cost, and user feedback. Main analysis was logistic regression with a normal random effect for clusters using a generalized linear mixed model.

Results: Twenty-nine clinics were randomized to intervention, 27 to control, recruiting 172 and 119 eligible patients. More intervention patients received guideline-adherent care (131/172; 76.2%) than control patients (49/119; 41.2%) (adjusted odds ratio [OR] 4.57; 95% confidence interval [CI] 2.39-8.71; p < 0.001). Ninety-day stroke occurred in 2/172 (1.2%) intervention and 5/119 (4.2%) control patients (OR 0.27; 95% CI 0.05-1.41; p = 0.098). Ninety-day TIA or stroke occurrence was lower in the intervention group, 4/172 (2.3%) compared to 10/119 (8.5%) control (adjusted OR 0.26; 95% CI 0.70-0.97; p = 0.045). Fewer vascular events/deaths occurred in intervention, 6/172 (3.5%), than in control patients, 14/119 (11.9%) (adjusted OR 0.27; 95% CI 0.09-0.78; p = 0.016). Treatment cost ratio of 0.65 (95% CI 0.47-0.91; p = 0.013) favored the intervention without increased adverse events. Clinician feedback was positive.

Conclusion: Primary care use of the TIA/stroke electronic decision support tool improves guideline adherence, safely reduces treatment cost, achieves positive user feedback, and may reduce cerebrovascular and vascular event risk following TIA/stroke.

Classification Of Evidence: This study provides Class II evidence that a primary care electronic decision support tool improves guideline adherence and might reduce 90-day stroke risk.

Download full-text PDF

Source
http://dx.doi.org/10.1212/WNL.0000000000001472DOI Listing

Publication Analysis

Top Keywords

electronic decision
20
decision support
20
primary care
16
tia/stroke electronic
12
guideline adherence
12
control patients
12
cluster randomized
8
randomized controlled
8
controlled trial
8
support primary
8

Similar Publications

Background: Amebiasis represents a significant global health concern. This is especially evident in developing countries, where infections are more common. The primary diagnostic method in laboratories involves the microscopy of stool samples.

View Article and Find Full Text PDF

Background: COVID-19 caused a huge backlog of patients in glaucoma clinics. This study describes redesign of an entire glaucoma service with electronic patient triage to three levels and utilisation of the Scottish optometry infrastructure of upskilled optometrists.

Methods: 2276 patients in glaucoma clinics were identified and triaged to three levels in keeping with Glauc-strat-fast guidance with local amendments.

View Article and Find Full Text PDF

In general, edge computing networks are based on a distributed computing environment and hence, present some difficulties to obtain an appropriate load balancing, especially under dynamic workload and limited resources. The conventional approaches of Load balancing like Round-Robin and Threshold-based load balancing fails in scalability and flexibility issues when applied to highly variable edge environments. To solve the problem of how to achieve steady-state load balance and provide dynamic adaption to edge networks, this paper proposes a new framework that using PCA and MDP.

View Article and Find Full Text PDF

Objectives: This study aimed to develop a multimodal radiopathomics model utilising preoperative ultrasound (US) and fine-needle aspiration cytology (FNAC) to predict large-number cervical lymph node metastasis (CLNM) in patients with clinically lymph node-negative (cN0) papillary thyroid carcinoma (PTC).

Materials And Methods: This multicentre retrospective study included patients with PTC between October 2017 and June 2024 across seven institutions. Patients were categorised based on the presence or absence of large-number CLNM in training, validation, and external testing cohorts.

View Article and Find Full Text PDF

Development and Validation of an Ultrasound-Based Clinical Radiomics Nomogram for Diagnosing Gouty Arthritis.

Ultrasound Med Biol

January 2025

Shengli Clinical Medical College of Fujian Medical University, Fuzhou, Fujian Province, China; Fuzhou University Affiliated Provincial Hospital, Department of Ultrasound, Fuzhou, Fujian Province, China. Electronic address:

Objective: This study aimed to develop and validate a diagnostic model for gouty arthritis by integrating ultrasonographic radiomic features with clinical parameters.

Methods: A total of 604 patients suspected of having gouty arthritis were enrolled and randomly divided into a training set (n = 483) and a validation set (n = 121) in a 4:1 ratio. Univariate and multivariate analyses were conducted on the clinical data to identify statistically significant clinical features for constructing an initial diagnostic model.

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!