Sociodemographic And Health-Related Predictors Of Online Information Seeking On Healthcare Providers In Russian Adults

Author:

Polukhin Nikita V.1ORCID,Ekkert Natalia V.1ORCID

Affiliation:

1. I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia

Abstract

The objective of this study was to examine the factors of online information seeking on healthcare providers in Russian adults. Material and Methods — Our online survey involved 1,319 participants and regarded their sociodemographic and health-related characteristics, along with online information seeking on healthcare providers. The association of factors to online information seeking on healthcare providers was examined via Pearson’s chi-squared test. The odds ratios for determined predictors of online information seeking were obtained from multiple logistic regression model fitted to the data. Results — Majority of Russian adults – 58.6% (95% CI: 55.9%-61.2%) – used the Internet to collect information on healthcare providers. The most rigorous online information seeking on healthcare providers was exhibited by females (OR: 1.951, p<0.001), adults with graduate degrees (OR: 2.870, p=0.036), adults using the Internet more often (OR: 2.623, p<0.001), adults with two or more chronic diseases (OR: 1.699, p=0.005), and those who had 7 or more medical appointments during the last year preceding the survey (OR: 2.438, p=0.002). However, the age of participants was not significantly associated with online information seeking on healthcare providers (p=0.922). No statistical difference was found between those residing in rural, suburban, and urban areas (p=0.518). Conclusion — Sociodemographic and health-related factors affect patients in terms of their online information seeking on healthcare providers. The current demand for online information on healthcare providers existing in various groups highlights the need to increase patient engagement and empower the less active among them.

Publisher

LLC Science and Innovations

Subject

General Medicine

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3