Evidence map›Paper›PMID 35196717›Full record

ArticleApplied clinical informatics2022

Prevalence and Factors Associated with Patient-Requested Corrections to the Medical Record through Use of a Patient Portal: Findings from a National Survey.

Oliver T Nguyen, Young-Rock Hong, Amir Alishahi Tabriz, Karim Hanna, Kea Turner

Abstract read
In one paragraph

Article in Applied clinical informatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Oliver T NguyenDepartment of Community Health and Family Medicine, University of Florida, Gainesville, Florida, United States.
Young-Rock HongDepartment of Health Services Research, Management, and Policy, University of Florida, Gainesville, Florida, United States.
Amir Alishahi TabrizDepartment of Health Outcomes and Behavior, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, United States.
Karim HannaDepartment of Family Medicine, University of South Florida Morsani College of Medicine, Tampa, Florida, United States.
Kea TurnerDepartment of Health Outcomes and Behavior, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundProviding 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.

objectivesWe 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.

methodsWe 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 identify correlates of requesting corrections while controlling for demographic factors, health care utilization patterns, health status, technology/internet use patterns, and year.

resultsAcross 1,657 respondents, 125 (weighted estimate: 6.5%) reported requesting corrections to their medical records. In unadjusted models, greater odds of requesting corrections were observed among patients who reported their race/ethnicity as non-Hispanic black (odds ratio [OR]: 2.20, 95% confidence interval [CI]: 1.10-4.43), had frequent portal visits (OR: 3.92, 95% CI: 1.51-10.23), and had entered data into the portal (OR: 7.51, 95% CI: 4.08-13.81). In adjusted models, we found greater odds of requesting corrections among those who reported frequent portal visits (OR: 3.39, 95% CI: 1.24-9.33) and those who reported entering data into the portal (OR: 6.43, 95% CI: 3.20-12.94). No other significant differences were observed.

conclusionPrior to the Information Blocking Final Rule in April 2021, approximately 6.5% of patients requested corrections of errors in their medical records at the national level. Those who reported higher engagement with their health, as proxied by portal visit frequency and entering data into the portal, were more likely to request corrections.

Indexed as

Patient PortalsElectronic Health RecordsHumansMedical ErrorsPrevalenceSurveys and Questionnaires

Identifiers

PMID35196717
PMCPMC8866035

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.