Category Ranking
98%
Total Visits
921
Avg Visit Duration
2 minutes
Citations
20
Article Abstract
Background: This study assessed discrepancies between self-reported and administrative data sources in identifying mental health issues in Slovenia, and investigated associated socio-demographic factors.
Methods: Data were linked from the 2019 Slovenian European Health Interview Survey (EHIS; n=9,900) and national health administrative databases capturing inpatient hospitalisations, outpatient prescription drugs and mental health-related sick leave. Mental health issues were identified in EHIS by self-report and in administrative databases using diagnostic codes and medication claims. Socio-demographic factors were obtained from EHIS. Discrepancies were assessed and multinomial logistic regression was used to analyse the association between these factors and the source of case identification.
Results: Of the 9,900 EHIS respondents, 1,336 (13.5%) self-reported mental health issues, while 1,675 (16.9%) were identified in administrative databases. Only 613 individuals (4.6% of the total sample) were identified in both sources. Older age was associated with being identified in both data sources and administrative data only compared to not being identified. Females and unemployed persons were more likely than males and employed persons to be identified as having mental health issues, regardless of the data source. Compared to those with primary education or lower, individuals with higher education were less likely to be identified in administrative data only or in both data sources.
Conclusions: discrepancies exist between self-reported and administrative data sources in identifying mental health issues. Discrepancies are associated with socio-demographic factors and may lead to different interpretations of population mental health. This study underscores the importance of cautiously interpreting self-reported and administrative health data in public health.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12406983 | PMC |
| http://dx.doi.org/10.2478/sjph-2025-0018 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Neuroimaging Data Informed Mood and Psychosis Diagnosis Using an Ensemble Deep Multimodal Framework.
Hum Brain Mapp
September 2025
Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, Georgia, USA.
Investigating neuroimaging data to identify brain-based markers of mental illnesses has gained significant attention. Nevertheless, these endeavors encounter challenges arising from a reliance on symptoms and self-report assessments in making an initial diagnosis. The absence of biological data to delineate nosological categories hinders the provision of additional neurobiological insights into these disorders.
View Article and Find Full Text PDFThe Critical Role of Dermatologists in Screening for Body Dysmorphic Disorder.
Int J Dermatol
September 2025
Department of Dermatology, Emory University School of Medicine, Atlanta, Georgia, USA.
BOLD Long-Range Temporal Correlations Reflect Changes in Language and Depression Across Intensive Aphasia Therapy.
Stroke
September 2025
Brain Language Laboratory, Freie Universität Berlin, Germany (A.-T.P.J., M.R.O., A.S., F.P.).
Background: Intensive language-action therapy treats language deficits and depressive symptoms in chronic poststroke aphasia, yet the underlying neural mechanisms remain underexplored. Long-range temporal correlations (LRTCs) in blood oxygenation level-dependent signals indicate persistence in brain activity patterns and may relate to learning and levels of depression. This observational study investigates blood oxygenation level-dependent LRTC changes alongside therapy-induced language and mood improvements in perisylvian and domain-general brain areas.
View Article and Find Full Text PDFEfficacy of Tenecteplase in Large Vessel Occlusion Stroke Within 24 Hours of Symptom Onset: The ETERNAL-LVO Randomized Controlled Trial.
Stroke
September 2025
Department of Medicine, University of Melbourne, Parkville, Victoria, Australia. (V.Y., B.C.V.C., L.C., L.O., M.W.P.).
Background: To assess the efficacy and safety of tenecteplase in patients presenting within 24 hours of symptom onset with a large vessel occlusion and target mismatch on perfusion computed tomography.
Methods: ETERNAL-LVO was a prospective, randomized, open-label, blinded end point, phase 3, superiority trial where adult participants with a large vessel occlusion, presenting within 24 hours of onset with salvageable tissue on computed tomography perfusion, were randomized to tenecteplase 0.25 mg/kg or standard care across 11 primary and comprehensive stroke centers in Australia.