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:2022:10.2196/37226,
author = {Lear, R and Freise, L and Kybert, M and Darzi, A and Neves, AL and Mayer, E},
doi = {10.2196/37226},
journal = {Journal of Medical Internet Research},
title = {Patients’ willingness and ability to identify and respond to errors in their personal health records: a mixed methods analysis of cross-sectional survey data},
url = {http://dx.doi.org/10.2196/37226},
volume = {24},
year = {2022}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Background:Errors in electronic health records are known to contribute to patient safety incidents, yet systems for checking the accuracy of patient records are almost non-existent. Personal health records, enabling patient access to, and interaction, with the clinical record, offer a valuable opportunity for patients to actively participate in error surveillance.Objective:The aim of this study was to evaluate patients’ willingness and ability to identify and respond to errors in their personal health records.Methods:A cross-sectional survey study was conducted using an online questionnaire. Patient sociodemographic data were collected, including age, gender, ethnicity, educational level, health status, geographical location, motivation to self-manage, and digital health literacy (measured by the eHEALS tool). Patients with experience of using the Care Information Exchange (CIE) portal, who specified both age and gender, were included in these analyses. Patients’ responses to four 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 personal health records. Multinomial logistic regression was used to identify patient characteristics that predict i) ability to understand information in CIE, and ii) willingness to respond to errors in their records. The Framework Method was used to derive themes from patients’ free-text responses.Results:Of 445 patients, 40.7% (n=181) “definitely” understood CIE information and around half (49.4%, n=220) understood CIE information “to some extent”. Patients with high digital health literacy (eHEALS score ≥30) were more confident in their ability to understand their records compared to patients with low digital health literacy (odds ratio (OR) 7.85, 95% confidence interval (CI) 3.04-20.29, P<.001). Information-related barriers (medical terminology; lack of
AU  - Lear,R
AU  - Freise,L
AU  - Kybert,M
AU  - Darzi,A
AU  - Neves,AL
AU  - Mayer,E
DO  - 10.2196/37226
PY  - 2022///
SN  - 1438-8871
TI  - Patients’ willingness and ability to identify and respond to errors in their personal health records: a mixed methods analysis of cross-sectional survey data
T2  - Journal of Medical Internet Research
UR  - http://dx.doi.org/10.2196/37226
UR  - https://www.jmir.org/2022/7/e37226
UR  - http://hdl.handle.net/10044/1/97485
VL  - 24
ER  -
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