ArticleBMC health services research2025
Depression care trajectories and sustainable return to work among long-term sick-listed workers: a register-based study (The Norwegian GP-DEP Study).
Article in BMC health services research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Burnout prevalence in 2012, 2018 and 2024 among general practitioners in Norway and factors associated with burnout.Scandinavian journal of primary health care · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
backgroundDepressive disorders can negatively impact work life sustainability for affected individuals. Little is known about depression care trajectories and their association with sustainable return to work (SRTW) after long-term sick leave. This study aimed to identify depression care trajectories during the first three months of sick leave among long-term sick-listed workers with depression and investigate their associations with SRTW.
methods
designNationwide cohort study using linked data from Norwegian health and population registries. STUDY POPULATION: All inhabitants of Norway aged 20-64 from 1 January 2009 to 1 April 2011, who were diagnosed with depression in general practice, and had reached three months consecutive sick leave (n = 13 624, 63.7% women). EXPOSURE: Depression care trajectories during the first three months of initial sick leave, identified using group-based multi-trajectory modeling. Types of depression care included were general practitioner (GP) consults, GP longer consults and/or talking therapy, antidepressant medication (MED), and specialized mental healthcare. OUTCOME: SRTW, measured by accumulated all-cause sickness absence days during two-year follow-up after initial sick leave, with cutoffs at 0, ≤ 30, and ≤ 90 days. ANALYSIS: Gender stratified generalized linear models, used to investigate the associations between depression care trajectories and SRTW, adjusting for sociodemographic factors and sick leave duration.
resultsFour depression care trajectory groups were identified: "GP 12 weeks" (37.2%), "GP 2 weeks" (18.6%), "GP & MED 12 weeks" (40.0%), and "Specialist, GP & MED 12 weeks" (8.7%). The "GP 12 weeks" group (reference) had the highest proportion attaining SRTW for both genders. Men in the "GP 2 weeks" group had a 12-14% lower likelihood for SRTW compared to the reference. Women in the "Specialist,GP & MED 12 weeks 12 weeks" group had a 19- 23% lower likelihood for SRTW compared to the reference.
conclusionThe association between depression care trajectories and SRTW varies by gender. However, trajectories involving follow-up by the GP, including both standard and longer consults and/or talking therapy over 12 weeks, showed the highest likelihood of SRTW for both genders. Enhancing GP resources could improve SRTW outcomes by allowing more frequent and longer consultations or talking therapy.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.