학술논문

Patient Challenges and Needs in Comprehending Laboratory Test Results: Mixed Methods Study
Document Type
article
Source
Journal of Medical Internet Research, Vol 22, Iss 12, p e18725 (2020)
Subject
Computer applications to medicine. Medical informatics
R858-859.7
Public aspects of medicine
RA1-1270
Language
English
ISSN
1438-8871
Abstract
BackgroundPatients are increasingly able to access their laboratory test results via patient portals. However, merely providing access does not guarantee comprehension. Patients could experience confusion when reviewing their test results. ObjectiveThe aim of this study is to examine the challenges and needs of patients when comprehending laboratory test results. MethodsWe conducted a web-based survey with 203 participants and a set of semistructured interviews with 13 participants. We assessed patients’ perceived challenges and needs (both informational and technological needs) when they attempted to comprehend test results, factors associated with patients’ perceptions, and strategies for improving the design of patient portals to communicate laboratory test results more effectively. Descriptive and correlation analysis and thematic analysis were used to analyze the survey and interview data, respectively. ResultsPatients face a variety of challenges and confusion when reviewing laboratory test results. To better comprehend laboratory results, patients need different types of information, which are grouped into 2 categories—generic information (eg, reference range) and personalized or contextual information (eg, treatment options, prognosis, what to do or ask next). We also found that several intrinsic factors (eg, laboratory result normality, health literacy, and technology proficiency) significantly impact people’s perceptions of using portals to view and interpret laboratory results. The desired enhancements of patient portals include providing timely explanations and educational resources (eg, a health encyclopedia), increasing usability and accessibility, and incorporating artificial intelligence–based technology to provide personalized recommendations. ConclusionsPatients face significant challenges in interpreting the meaning of laboratory test results. Designers and developers of patient portals should employ user-centered approaches to improve the design of patient portals to present information in a more meaningful way.