{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["13(1)"],"submitter":["Nguyen OT"],"pubmed_abstract":["<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 identif"],"journal":["Applied clinical informatics"],"pagination":["242-251"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC8866035"],"repository":["biostudies-literature"],"pubmed_title":["Prevalence and Factors Associated with Patient-Requested Corrections to the Medical Record through Use of a Patient Portal: Findings from a National Survey."],"pmcid":["PMC8866035"],"pubmed_authors":["Hong YR","Turner K","Nguyen OT","Hanna K","Alishahi Tabriz A"],"additional_accession":[]},"is_claimable":false,"name":"Prevalence and Factors Associated with Patient-Requested Corrections to the Medical Record through Use of a Patient Portal: Findings from a National Survey.","description":"<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 identif","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Jan","modification":"2025-04-19T10:02:14.009Z","creation":"2025-04-19T10:02:14.009Z"},"accession":"S-EPMC8866035","cross_references":{"pubmed":["35196717"],"doi":["10.1055/s-0042-1743236"]}}