Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Klaus Martiny

Biographic Data

ID7660195
NAMEKlaus Martiny
GIVEN NAMESKlaus
FAMILY NAMEMartiny
SIGNATUREMARTINY K
AFFILIATIONSUniversity of Copenhagen
ORCID0000-0002-7317-5958
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS0
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2003
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Algorithm-guided treatment for major depressive disorder versus treatment as usual

    Open Access•Deni Rkman, René Ernst Nielsen et al.•ARTICLE•Frontiers in Psychiatry•2026

    Introduction A substantial proportion of patients with major depressive disorder do not remit after the initial pharmacological treatment, and a major obstacle is that progression to subsequent treatment steps often occurs too slowly, highlighting the need for more structured and effective therapeutic strategies. Algorithm-guided treatments (AGTs) provide a systematic, stepwise framework for clinical decision-making, potentially improving acute t…

  • Collaborative challenges during transition of patients with severe depression from secondary mental health services to primary care and opportunities for improvement - a qualitative study

    Open Access•Anne Sofie Aggestrup, Marius Brostrøm Kousgaard et al.•ARTICLE•Frontiers in Psychiatry•2025

    Cross-sectoral collaboration in the care of severe depression is challenged by structural and relational barriers, leaving patients vulnerable and at increased risk of relapse during transitions between sectors. Strengthening coordination through shared planning, clearer roles, a coordinating liaison or care manager, digital tools, and flexible return-to-work solutions may ensure continuity and prevent relapse of depression

  • Housing type and risk of depression – the mediating effects of perceived indoor annoyances and loneliness

    Open Access•Anne Marie Kirkegaard, Stine Kloster et al.•ARTICLE•BMC Public Health•2025

    Individuals living in certain housing types had a significantly higher IR of depression compared to individuals in owner-occupied detached houses. Our findings suggest that some of the excessed depression incidents among individuals living in rented apartments and rented terrace houses compared to detached houses could be attributed to differences in the number of perceived indoor annoyances and perceived loneliness. However, future studies are n…

  • The internal and external validity of the Major Depression Inventory in measuring severity of depressive states

    Open Access•L R OLSEN, D V JENSEN et al.•ARTICLE•Psychological Medicine•2003

    Background. We have developed the Major Depression Inventory (MDI), consisting of 10 items, covering the DSM-IV as well as the ICD-10 symptoms of depressive illness. We aimed to evaluate this as a scale measuring severity of depressive states with reference to both internal and external validity. Method. Patients representing the score range from no depression to marked depression on the Hamilton Depression Scale (HAM-D) completed the MDI. Both c…

No prominent works on this page.

  • The internal and external validity of the Major Depression Inventory in measuring severity of depressive states

    Open Access•L R OLSEN, D V JENSEN et al.•ARTICLE•Psychological Medicine•2003

    Background. We have developed the Major Depression Inventory (MDI), consisting of 10 items, covering the DSM-IV as well as the ICD-10 symptoms of depressive illness. We aimed to evaluate this as a scale measuring severity of depressive states with reference to both internal and external validity. Method. Patients representing the score range from no depression to marked depression on the Hamilton Depression Scale (HAM-D) completed the MDI. Both c…

  • Collaborative challenges during transition of patients with severe depression from secondary mental health services to primary care and opportunities for improvement - a qualitative study

    Open Access•Anne Sofie Aggestrup, Marius Brostrøm Kousgaard et al.•ARTICLE•Frontiers in Psychiatry•2025

    Cross-sectoral collaboration in the care of severe depression is challenged by structural and relational barriers, leaving patients vulnerable and at increased risk of relapse during transitions between sectors. Strengthening coordination through shared planning, clearer roles, a coordinating liaison or care manager, digital tools, and flexible return-to-work solutions may ensure continuity and prevent relapse of depression

  • Housing type and risk of depression – the mediating effects of perceived indoor annoyances and loneliness

    Open Access•Anne Marie Kirkegaard, Stine Kloster et al.•ARTICLE•BMC Public Health•2025

    Individuals living in certain housing types had a significantly higher IR of depression compared to individuals in owner-occupied detached houses. Our findings suggest that some of the excessed depression incidents among individuals living in rented apartments and rented terrace houses compared to detached houses could be attributed to differences in the number of perceived indoor annoyances and perceived loneliness. However, future studies are n…

  • Algorithm-guided treatment for major depressive disorder versus treatment as usual

    Open Access•Deni Rkman, René Ernst Nielsen et al.•ARTICLE•Frontiers in Psychiatry•2026

    Introduction A substantial proportion of patients with major depressive disorder do not remit after the initial pharmacological treatment, and a major obstacle is that progression to subsequent treatment steps often occurs too slowly, highlighting the need for more structured and effective therapeutic strategies. Algorithm-guided treatments (AGTs) provide a systematic, stepwise framework for clinical decision-making, potentially improving acute t…

Depression (economics (3 works) · Mental Health Treatment and Access (2 works) · Psychiatry (2 works) · Treatment of Major Depression (2 works) · Biostatistics (1 work) · Cardiac Health and Mental Health (1 work) · Clinical Psychology (1 work) · Clinical trial (1 work) · Cochrane Library (1 work) · Cohort (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae