biostudies-literatureUnknown13(1)Nguyen OT<h4>Background</h4>Providing patients with medical records access is one strategy that health systems can utilize to reduce medical errors. However, how often patients request corrections to their records on a national scale is unknown.<h4>Objectives</h4>We aimed to develop population-level estimates of patients who request corrections to their medical records using national-level data. We also identified patient-level correlates of requesting corrections.<h4>Methods</h4>We used the 2017 and 2019 Health Information National Trends Survey and examined all patient portal adopters. We applied jackknife replicate weights to develop population-representative estimates of the prevalence of requesting medical record corrections. We conducted a multivariable logistic regression analysis to identifApplied clinical informatics242-251https://www.ebi.ac.uk/biostudies/studies/S-EPMC8866035biostudies-literaturePrevalence and Factors Associated with Patient-Requested Corrections to the Medical Record through Use of a Patient Portal: Findings from a National Survey.PMC8866035Hong YRTurner KNguyen OTHanna KAlishahi Tabriz AfalsePrevalence and Factors Associated with Patient-Requested Corrections to the Medical Record through Use of a Patient Portal: Findings from a National Survey.<h4>Background</h4>Providing patients with medical records access is one strategy that health systems can utilize to reduce medical errors. However, how often patients request corrections to their records on a national scale is unknown.<h4>Objectives</h4>We aimed to develop population-level estimates of patients who request corrections to their medical records using national-level data. We also identified patient-level correlates of requesting corrections.<h4>Methods</h4>We used the 2017 and 2019 Health Information National Trends Survey and examined all patient portal adopters. We applied jackknife replicate weights to develop population-representative estimates of the prevalence of requesting medical record corrections. We conducted a multivariable logistic regression analysis to identif2022-01-01T00:00:00Z2022 Jan2025-04-19T10:02:14.009Z2025-04-19T10:02:14.009ZS-EPMC88660353519671710.1055/s-0042-1743236