Association between patient-provider communication and withholding information due to privacy concerns among women in the United States: an analysis of the 2011 to 2018 Health Information National Trends Survey

Author:

Ajayi Kobi V.,Olowolaju Samson,Bolarinwa Obasanjo Afolabi,Onyeka Henry

Abstract

Abstract Background Electronic medical record software is common in healthcare settings. However, data privacy and security challenges persist and may impede patients’ willingness to disclose health information to their clinicians. Positive patient-provider communication may foster patient trust and subsequently reduce information nondisclosure. This study sought to characterize information-withholding behaviors among women and evaluate the association between positive patient-provider communication and women’s health information-withholding behavior in the United States. Methods Data were pooled from the 2011 to 2018 Health Information National Trends Survey. We used descriptive statistics, bivariate, and logistic regression analyses to investigate whether positive patient-provider communication significantly impacted health information-withholding behaviors. Data from 7,738 women were analyzed. Results About 10.8% or 1 in 10 women endorsed withholding health information from their providers because of privacy or security concerns about their medical records. After adjusting for the covariates, higher positive patient-provider communication scores were associated with lower odds of withholding information from the provider because of privacy and security concerns (aOR 0.93; 95% CI = 0.90–0.95). Additionally, we found that age, race/ethnicity, educational status, psychological distress, and smoking status significantly predicted women’s willingness to disclose health information. Conclusions Findings suggest that improving positive patient-provider communication quality may reduce women’s privacy and security concerns and encourage them to disclose sensitive medical information.

Publisher

Springer Science and Business Media LLC

Subject

Health Policy

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