Evidence map›Paper›PMID 42133829›Full record

ArticleJournal of medical Internet research2026

Understanding Patient-Reported Offenses in Electronic Health Records: Cross-Sectional Mixed Methods Survey.

Saija Simola, Sari Kujala, Åsa Cajander, Anna Kharko, Bridget Kane, Bo Wang, Rose-Mharie Åhlfeldt, Maria Hägglund

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Saija SimolaDepartment of Computer Science, Aalto University, Konemiehentie 2, Espoo, 02150, Finland, 358 509118203.ORCID http://orcid.org/0000-0003-1819-1119
Sari KujalaDepartment of Computer Science, Aalto University, Konemiehentie 2, Espoo, 02150, Finland, 358 509118203.ORCID http://orcid.org/0000-0001-5586-3725
Åsa CajanderDepartment of Information Technology, Uppsala University, Uppsala, Sweden.ORCID http://orcid.org/0000-0001-7472-2215
Anna KharkoDepartment of Women's and Children's Health, Participatory eHealth and Health Data Research Group, Uppsala University, Uppsala, Sweden.ORCID http://orcid.org/0000-0003-0908-6173
Bridget KaneDepartment of Women's and Children's Health, Participatory eHealth and Health Data Research Group, Uppsala University, Uppsala, Sweden.ORCID http://orcid.org/0000-0003-3211-6529
Bo WangNorwegian Centre for E-health Research, University Hospital of North Norway, Tromsø, Norway.ORCID http://orcid.org/0000-0001-5667-8361
Rose-Mharie ÅhlfeldtSchool of Informatics, University of Skövde, Skövde, Sweden.ORCID http://orcid.org/0000-0002-8607-948X
Maria HägglundDepartment of Women's and Children's Health, Participatory eHealth and Health Data Research Group, Uppsala University, Uppsala, Sweden.ORCID http://orcid.org/0000-0002-6839-3651

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Patients' access to their electronic health record (EHR) supports their participation and satisfaction with care. Despite the benefits, some patients have been upset after reading their EHR. Additionally, health care professionals are concerned that patients, particularly those with mental health conditions, may be offended, and they have expressed a need for further guidelines on how to write EHRs. Experiences among various patient groups are essential to support the relationship between patients and professionals. However, prior studies have often focused on single patient groups or specific clinical contexts, leaving a limited understanding of differences across multiple patient groups. Objective: This study aimed to determine whether certain patient groups are more likely to feel offended while reading their EHRs and which information is perceived as offensive and to provide a comparison across multiple patient groups using a mixed methods approach. Methods: A cross-sectional survey was conducted via the Finnish national patient portal using a web-based patient survey, adopting a mixed methods approach. The survey included multiple-choice and open-ended questions. The total sample comprised 4681 respondents. The survey respondents were placed into 4 patient groups: those who had received care for mental health, cancer, or other conditions and those who had received no care. Associations between the type of care and patients who felt offended were estimated using multivariate binary logistic regression. Inductive content analysis (n=502) was conducted to identify information perceived as offensive in the EHR. Results: The patients who had received mental health care (166/654, 25.4%) or cancer and mental health care (9/39, 23.1%) were more likely to be offended by information in their EHR compared to the other groups (cancer care: 37/375, 9.9%; other conditions care: 383/3316, 11.6%; no care: 22/206, 10.7%; other conditions care: odds ratio 0.37, 95% CI 0.29-0.46; P<.001; model A). Additionally, female patients, those with bad or very bad health conditions, and patients with bachelor's or master's degrees were significantly more likely to feel offended. Errors, the health care professionals' disrespectful language, and perceived unnecessary information were the most frequently mentioned reasons for being offended. Patients with mental health care reported more often that unnecessary information and professionals' opinions and word choices were experienced as offensive compared to other patients. Conclusions: This study contributes new knowledge by identifying differences across multiple patient groups. Although a minority of patients felt offended by their EHR, health care professionals should consider that some patients, particularly those who have received mental health care or cancer and mental health care, may be offended by specific information or word choices in their EHRs. To address this, health care professionals should receive education on how to write their notes in a neutral tone and avoid potentially offensive topics. Improving the quality of EHRs could strengthen the relationship between patients and professionals.

Indexed as

Electronic Health RecordsAdultAgedCross-Sectional StudiesFemaleFinlandHumansMaleMiddle AgedSurveys and Questionnaireselectronic health recordnational surveyoffensiveonline record accessopen notespatient-accessible electronic health recordspatient experiencespatient portaluser groups

Identifiers

PMID42133829
PMCPMC13175307

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.