Evidence map›Paper›PMID 33635277›Full record

ArticleJMIR formative research2021

Assessment of Patients' Ability to Review Electronic Health Record Information to Identify Potential Errors: Cross-sectional Web-Based Survey.

Lisa Freise, Ana Luisa Neves, Kelsey Flott, Paul Harrison, John Kelly, Ara Darzi, Erik K Mayer

Abstract read
In one paragraph

Article in JMIR formative research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. 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

7 authors.

Lisa Freise *Patient Safety Translational Research Centre, Institute of Global Health Innovation, Imperial College London, London, United Kingdom.ORCID https://orcid.org/0000-0002-3558-0063
Ana Luisa Neves *Patient Safety Translational Research Centre, Institute of Global Health Innovation, Imperial College London, London, United Kingdom.ORCID https://orcid.org/0000-0002-7107-7211
Kelsey FlottPatient Safety Translational Research Centre, Institute of Global Health Innovation, Imperial College London, London, United Kingdom.ORCID https://orcid.org/0000-0002-7835-4322
Paul HarrisonImperial College Healthcare NHS Trust, London, United Kingdom.ORCID https://orcid.org/0000-0002-1760-448X
John KellyImperial College Healthcare NHS Trust, London, United Kingdom.ORCID https://orcid.org/0000-0003-2949-8968
Ara DarziPatient Safety Translational Research Centre, Institute of Global Health Innovation, Imperial College London, London, United Kingdom.ORCID https://orcid.org/0000-0001-7815-7989
Erik K MayerPatient Safety Translational Research Centre, Institute of Global Health Innovation, Imperial College London, London, United Kingdom.ORCID https://orcid.org/0000-0002-5509-4580

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSharing personal health information positively impacts quality of care across several domains, and particularly, safety and patient-centeredness. Patients may identify and flag up inconsistencies in their electronic health records (EHRs), leading to improved information quality and patient safety. However, in order to identify potential errors, patients need to be able to understand the information contained in their EHRs.

objectiveThe aim of this study was to assess patients' perceptions of their ability to understand the information contained in their EHRs and to analyze the main barriers to their understanding. Additionally, the main types of patient-reported errors were characterized.

methodsA cross-sectional web-based survey was undertaken between March 2017 and September 2017. A total of 682 registered users of the Care Information Exchange, a patient portal, with at least one access during the time of the study were invited to complete the survey containing both structured (multiple choice) and unstructured (free text) questions. The survey contained questions on patients' perceived ability to understand their EHR information and therefore, to identify errors. Free-text questions allowed respondents to expand on the reasoning for their structured responses and provide more detail about their perceptions of EHRs and identifying errors within them. Qualitative data were systematically reviewed by 2 independent researchers using the framework analysis method in order to identify emerging themes.

resultsA total of 210 responses were obtained. The majority of the responses (123/210, 58.6%) reported understanding of the information. The main barriers identified were information-related (medical terminology and knowledge and interpretation of test results) and technology-related (user-friendliness of the portal, information display). Inconsistencies relating to incomplete and incorrect information were reported in 12.4% (26/210) of the responses.

conclusionsWhile the majority of the responses affirmed the understanding of the information contained within the EHRs, both technology and information-based barriers persist. There is a potential to improve the system design to better support opportunities for patients to identify errors. This is with the aim of improving the accuracy, quality, and timeliness of the information held in the EHRs and a mechanism to further engage patients in their health care.

Indexed as

electronic health recordsmedical errorspatient participationpatient portalspatient safety

Identifiers

PMID33635277
PMCPMC7954650

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.