Evidence map›Paper›PMID 41908546›Full record

ArticleJournal of multidisciplinary healthcare2026

Words Matter: Content Analysis of Language Used When Documenting in the Medical Records of Patients in Mental Health.

Monica Zolezzi, Shahd Abubaker Elamin, Oraib Abdallah, Yassin Eltorki, Turfa Alhathal, Esraa Maklad, Noriya Alkhuzaie

Abstract read
In one paragraph

Article in Journal of multidisciplinary healthcare, 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

7 authors.

Monica ZolezziCollege of Pharmacy, Qatar University, Doha, Qatar.ORCID 0000-0003-2065-0476
Shahd Abubaker ElaminCollege of Pharmacy, Qatar University, Doha, Qatar.ORCID 0000-0003-3046-3615
Oraib AbdallahMental Health Services, Hamad Medical Corporation, Doha, Qatar.ORCID 0000-0003-4180-4235
Yassin EltorkiMental Health Services, Hamad Medical Corporation, Doha, Qatar.ORCID 0000-0002-5110-784X
Turfa AlhathalAisha Bint Hamad Al-Attiyah Hospital, Hamad Medical Corporation, Doha, Qatar.ORCID 0000-0002-7371-6347
Esraa MakladPharmacy Clinical Services Unit, Sidra Medicine, Doha, Qatar.ORCID 0000-0001-5913-4052
Noriya AlkhuzaieMental Health Services, Hamad Medical Corporation, Doha, Qatar.ORCID 0000-0003-2748-4597

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Biased healthcare documentation adversely impacts patient outcomes, by affecting providers' perceptions. Identifying stigmatizing language is crucial for appropriate workforce training. Purpose: To identify, describe, and compare language patterns used in medical records of individuals with mental illness. Methods: Patient encounters within the sole Qatari mental health governmental provider were randomly selected. Rich-text notes documented by any of eight eligible healthcare fields, written October-December/2021, and taking place during outpatient, inpatient, or community-homecare encounters were analyzed qualitatively for positive and negative language, and quantitatively for the percentage of notes with language types/subtypes. Association between language and patient/provider characteristics was tested using Goodness-of-fit chi2 and Fisher's exact test, as appropriate. Results: Of 300 notes, most included potentially stigmatizing language (62.7%). Disability-first and inappropriate treatment-related language were the top isolated subtypes (33.22% and 31.31% of negative notes, respectively). Similarly, 66.67% of notes incorporated positive statements, mainly personalized language (44%). Positive language was statistically associated with specialty, age, diagnosis, discipline, setting, and patient's first language. Stigmatizing language was statistically associated with setting, physician level, and discipline. Conclusion: Content analysis of mental health notes highlighted comparable use of positive and negative language. These findings urge policymakers and educators to advocate for recovery-oriented mental health documentation.

Indexed as

clinical documentationhealthcare communicationperson-centered carerecovery-oriented practicestigmatizing language

Identifiers

PMID41908546
PMCPMC13019163

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.