Imperial College London
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Erik Mayer

Faculty of Medicine, Department of Surgery & Cancer

Clinical Reader in Urology
 
 
 
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Contact

 

e.mayer Website

 
 
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Location

 

1020Queen Elizabeth the Queen Mother Wing (QEQM)St Mary's Campus

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Summary

 

Publications

Citation

BibTex format

@article{Lear:2022:10.2196/preprints.37226,
author = {Lear, R and Freise, L and Kybert, M and Darzi, A and Neves, AL and Mayer, EK},
doi = {10.2196/preprints.37226},
title = {Patients’ Willingness and Ability to Identify and Respond to Errors in Their Personal Health Records: Mixed Methods Analysis of Cross-sectional Survey Data (Preprint)},
url = {http://dx.doi.org/10.2196/preprints.37226},
year = {2022}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - <sec>                    <title>BACKGROUND</title>                        <p>Errors in electronic health records are known to contribute to patient safety incidents; however, systems for checking the accuracy of patient records are almost nonexistent. Personal health records (PHRs) enabling patient access to and interaction with the clinical records offer a valuable opportunity for patients to actively participate in error surveillance.</p>                </sec>                                <sec>                    <title>OBJECTIVE</title>                        <p>This study aims to evaluate patients’ willingness and ability to identify and respond to errors in their PHRs.</p>                </sec>                                <sec>                    <title>METHODS</title>                        <p>A cross-sectional survey was conducted using a web-based questionnaire. Patient sociodemographic data were collected, including age, sex, ethnicity, educational level, health status, geographical location, motivation to self-manage, and digital health literacy (measured using the eHealth Literacy Scale tool). Patients with experience of using the Care Information Exchange (CIE) portal, who specified both age and sex, were included in these analyses. The patients’ responses to 4 relevant survey items (closed-ended questions, some with space for free-text comments) were examined to understand their willingness and ability to identify and respond to errors in their PHRs. Multinomial logistic regression was used to identify patients’ characteristics that predict the ability to understand information in the CIE and willingness to respond to errors in their records. The framework method was used to derive themes from patients’ free-text responses.</p>                </sec>                                <sec>                    <titl
AU  - Lear,R
AU  - Freise,L
AU  - Kybert,M
AU  - Darzi,A
AU  - Neves,AL
AU  - Mayer,EK
DO  - 10.2196/preprints.37226
PY  - 2022///
TI  - Patients’ Willingness and Ability to Identify and Respond to Errors in Their Personal Health Records: Mixed Methods Analysis of Cross-sectional Survey Data (Preprint)
UR  - http://dx.doi.org/10.2196/preprints.37226
ER  -
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