Outcomes of psychiatric interviews and self-rated symptom scales in people on sick leave for common mental disorders: an observational study.

Anxiety disorders Depression & mood disorders MENTAL HEALTH PRIMARY CARE PUBLIC HEALTH

Journal

BMJ open
ISSN: 2044-6055
Titre abrégé: BMJ Open
Pays: England
ID NLM: 101552874

Informations de publication

Date de publication:
22 06 2022
Historique:
entrez: 22 6 2022
pubmed: 23 6 2022
medline: 25 6 2022
Statut: epublish

Résumé

To investigate the correspondence between diagnoses on sick leave certificates and diagnoses made in structured psychiatric interviews. Secondary aims were to investigate length of sick leave by diagnoses on sick leave certificates, diagnoses made in structured interviews and symptom severity. Observational study consisting of a secondary analysis of data from a randomised controlled trial and an observational study. The regions of Stockholm and Västra Götaland, Sweden. 480 people on sick leave for common mental disorders. Participants were examined with structured psychiatric interviews and self-rated symptom severity scales. (1) Sick leave certificate diagnoses, (2) diagnoses from the Mini International Neuropsychiatric Interview and the Self-rated Stress-Induced Exhaustion Disorder (SED) Instrument (s-ED), (3) symptom severity (Montgomery-Asberg Depression Rating Scale-self-rating version and the Karolinska Exhaustion Disorder Scale) and (4) number of sick leave days. There was little correspondence between diagnoses on sick leave certificates and diagnoses made in structured psychiatric interviews. Many participants on sick leave for SED, anxiety disorder or depression fulfilled criteria for other mental disorders. Most on sick leave for SED (76%) and anxiety disorder (67%) had depression (p=0.041). Length of sick leave did not differ by certificate diagnoses. Participants with SED (s-ED) had longer sick leave than participants without SED (144 vs 84 days; 1.72 (1.37-2.16); p<0.001). More severe symptoms were associated with longer sick leave. Diagnoses on sick leave certificates did not reflect the complex and overlapping nature of the diagnoses found in the structured psychiatric interviews. This finding is relevant to the interpretation of information from health data registers, including studies and guidelines based on these data. A result of clinical interest was that more severe symptoms predicted long-term sick leave better than actual diagnoses.

Identifiants

pubmed: 35732382
pii: bmjopen-2021-057745
doi: 10.1136/bmjopen-2021-057745
pmc: PMC9226864
doi:

Types de publication

Journal Article Observational Study Randomized Controlled Trial Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e057745

Informations de copyright

© Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: None declared.

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Auteurs

Sandra Af Winklerfelt Hammarberg (S)

Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden sandra.af.winklerfelt.hammarberg@ki.se.
Region of Stockholm, Academic Primary Care Centre, Stockholm, Sweden.

Jeanette Westman (J)

Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.
Region of Stockholm, Academic Primary Care Centre, Stockholm, Sweden.
Division of Nursing, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Huddinge, Stockholm, Sweden.

Dominique Hange (D)

Primary Health Care, School of Public Health and Community Medicine, Institutet of Medicine, Sahlgrenska Academy, University of Gothenburg, Sweden, Gothenburg, Sweden.
Region Västra Götaland, Närhälsan Research and Development Primary Health Care, Gothenburg, Sweden.

Anna Finnes (A)

Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.

Cecilia Björkelund (C)

Primary Health Care, School of Public Health and Community Medicine, Institutet of Medicine, Sahlgrenska Academy, University of Gothenburg, Sweden, Gothenburg, Sweden.

Jonas Hällgren (J)

Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.

Ingmarie Skoglund (I)

Primary Health Care, School of Public Health and Community Medicine, Institutet of Medicine, Sahlgrenska Academy, University of Gothenburg, Sweden, Gothenburg, Sweden.
Region Västra Götaland, Närhälsan Research and Development Primary Health Care, Gothenburg, Sweden.

Anna Nager (A)

Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.

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