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1.
Stud Health Technol Inform ; 264: 1403-1407, 2019 Aug 21.
Article in English | MEDLINE | ID: mdl-31438157

ABSTRACT

Clinical data, such as laboratory test results, is increasingly being made available to patients through patient portals. However, patients often have difficulties understanding and acting upon the clinical data presented in portals. As such, many turn to online resources to fill their knowledge gaps and obtain actionable advice. In this work, we present a content analysis of the questions posted in a major social Q&A site to characterize lay people's general information needs concerning laboratory test results and to inform the design of patient portals for supporting patients' understanding of clinical data. We identified 15 information needs related to laboratory test results, and clustered them under four themes: understanding the results of lab test, interpreting doctor's diagnosis, learning about lab tests, and consulting the next steps. We draw on our findings to discuss design opportunities for supporting the understanding of laboratory results.


Subject(s)
Clinical Laboratory Services , Patient Portals , Humans , Internet , Referral and Consultation
2.
AMIA Annu Symp Proc ; 2017: 820-829, 2017.
Article in English | MEDLINE | ID: mdl-29854148

ABSTRACT

Social media are important platforms for risk communication during public health crises. Effective dissemination of accurate, relevant, and up-to-date health information is important for the public to raise awareness and develop risk management strategies. This study investigates Zika virus-related information circulated on Twitter, identifying the patterns of dissemination of popular tweets and tweets from public health authorities such as the CDC. We leveraged a large corpus of Twitter data covering the entire year of 2016. We analyzed the data using quantitative and qualitative content analyses, followed by machine learning to scale the manual content analyses to the corpus. The results revealed possible discrepancies between what the general public was most interested in, or concerned about, and what public health authorities provided during the Zika outbreak. We provide implications for public health authorities to improve risk communication through better alignment with the general public's information needs during public health crises.


Subject(s)
Consumer Health Information/methods , Disease Outbreaks , Information Dissemination , Machine Learning , Public Health Practice , Social Media , Zika Virus Infection , Communication , Humans , Risk , Zika Virus , Zika Virus Infection/epidemiology
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