Related Experiment Video
Updated: Jul 6, 2025

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
Published on: May 15, 2020
[Statistical modeling of the fact and requests frequency for emergency medical care by primary care different age
E A Mordovsky1, A V Baranov1,2, A G Soloviev1
1Northern State Medical University, 51 Troitsky ave, Arkhangelsk 163000, Russian Federation.
Abstract:
The frequency of seeking emergency medical care (EC) can be mediated by the characteristics of the patient's social status, his health literacy (HL) but not only by the clinical signs of the disease, health status. The goal of the cross-sectional survey was to identify factors determining the frequency of applying for EC by the young-aged, middle-aged (18-59 years) and elderly (60-74 years) patients of the primary health organizations in the Arkhangelsk Region and the Komi Republic (North-West Russia). Logistic regression (LR) was used to identify factors mediating the fact of applying for EC; zero-inflated negative binomial regression (ZINB) - to identify factors mediating the frequency of appeals. The majority of elderly respondents in the Arkhangelsk Region (72,5%) and the Komi Republic (74,1%) applied for EC at least once during the calendar year; among the young-aged and middle-aged respondents - 45,3% and 52,1% respectively. In the group of young-aged and middle-aged respondents, a higher frequency of appeals for EC is mediated by the age, low self-esteem of the well-being and health status, a chronic disease(s) affecting daily well-being in anamnesis, a low level of HL; in the group of the elderly respondents - by the fact of absence of a spouse, low self-esteem of the well-being, a chronic disease(s) affecting daily well-being in anamnesis, low levels of HL respectively. The obtained results obtained can be used to identify the «risk group» of patients of the primary health organizations who have a higher probability of applying for EC, and to organize additional preventive work with the min primary health organizations.
Related Concept Videos
Statistical Methods for Analyzing Epidemiological Data
Comparing the Survival Analysis of Two or More Groups
Parametric Survival Analysis: Weibull and Exponential Methods
Weibull Distribution
The Weibull distribution is a flexible model used in parametric survival analysis. It can handle both increasing and decreasing hazard rates, depending on its shape parameter...
Actuarial Approach
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
Introduction To Survival Analysis
The primary goal of survival analysis is to estimate survival time—the time...
Cancer Survival Analysis

