Evidence map›Paper›PMID 37781845›Full record

ArticleWork (Reading, Mass.)2024

Relationship between duration of sick leave and time variation of words used in return-to-work programs for depression.

Ichiro Kutsuna, Aiko Hoshino, Ami Morisugi, Yukari Mori, Aki Shirato, Mirai Takeda, Hikari Isaji, Mami Suwa

Open access · bronzeAbstract read
In one paragraph

Article in Work (Reading, Mass.), 2024. 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, top 75% of its field
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, 0 citations in OpenAlex.

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 at 3 institutions in 2 countries.

Ichiro KutsunaDepartment of Health Science, Graduate School of Medicine, Nagoya University, Nagoya, Japan.
Aiko HoshinoDepartment of Health Science, Graduate School of Medicine, Nagoya University, Nagoya, Japan.
Ami MorisugiMental Clinic Anser, Medical Corporation Seiseikai, Aichi, Japan.
Yukari MoriMental Clinic Anser, Medical Corporation Seiseikai, Aichi, Japan.
Aki ShiratoHinaga General Center for Mental Care, Mie, Japan.
Mirai TakedaHinaga General Center for Mental Care, Mie, Japan.
Hikari IsajiDepartment of Health Science, Graduate School of Medicine, Nagoya University, Nagoya, Japan.
Mami SuwaMental Clinic Anser, Medical Corporation Seiseikai, Aichi, Japan.
Kishokai Medical Corporation · JPG. H. Gillespie Associates (United States) · USNagoya University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundReturn-to-work (RTW) programs are provided as rehabilitation for people who have taken sick leave from work because of mental health problems. However, methods to present this information to workplaces objectively remain limited.

objectiveThis study aimed to conduct an exploratory investigation of the relationship between duration of sick leave and time variation of words used in RTW programs for depression from textual data collected from electronic medical records as a new evaluation indicator.

methodsThe study subjects were those who had taken sick leave because of major depressive or adjustment disorder and had participated in an RTW program. The study data comprised demographic characteristics and texts. Textual data were collected from electronic medical records and classified based on the SOAP note. Thereafter, the textual data were quantified into category scores based on a standard text analysis dictionary. A generalized linear mixed model was used for the statistical analysis, with the score for each category (emotional, social, cognitive, perceptual, biological, motivational, relativity, and informal) as the dependent variable and the duration of sick leave, time, and interaction between the duration of sick leave and time as the independent variables. The level of statistical significance was set at 0.05.

resultsIn total, 42 participants were included in the analysis. The results revealed a significant interaction between the social (p = 0.001) and emotional (p = 0.002) categories.

conclusionThe findings suggest a relationship between word changes in electronic medical records and the duration of sick leave.

Indexed as

Major Depressive DisorderMental DisordersDepressionEmploymentHumansReturn to WorkSick LeaveElectronic medical recordsemployeemental healthrehabilitationtext mining

Identifiers

PMID37781845
PMCPMC10977370
OpenAlexW4387168361

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.