Literature DB >> 23388154

Common mental disorder severity and its association with treatment contact and treatment intensity for mental health problems.

M Ten Have1, J Nuyen, A Beekman, R de Graaf.   

Abstract

BACKGROUND: Detailed population-based survey information on the relationship between the severity of common mental disorders (CMDs) and treatment for mental health problems is heavily based on North American research. The aim of this study was to replicate and expand existing knowledge by studying CMD severity and its association with treatment contact and treatment intensity in The Netherlands.
METHOD: Data were obtained from the Netherlands Mental Health Survey and Incidence Study-2 (NEMESIS-2), a nationally representative face-to-face survey of the general population aged 18–64 years (n=6646, response rate=65.1%). DSM-IV diagnoses and disorder severity were assessed with the Composite International Diagnostic Interview Version 3.0 (CIDI 3.0). Treatment contact refers to at least one contact for mental health problems made in the general medical care (GMC) or mental health care (MHC) sector. Four levels of treatment intensity were assessed, based on type and duration of therapy received.
RESULTS: Although CMD severity was related to treatment contact, only 39.0% of severe cases received MHC. At the same time, 40.3% of MHC users did not have a 12-month disorder. Increasing levels of treatment intensity ranged from 51.6% to 13.0% in GMC and from 81.4% to 51.1% in MHC. CMD severity was related to treatment intensity in MHC but not in GMC. Sociodemographic characteristics were not significantly related to having experienced the highest level of treatment intensity in MHC. CONCLUSIONS. Mental health treatment in the GMC sector should be improved, especially when policy is aimed at increasing the role of primary care in the management of mental health problems.

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Year:  2013        PMID: 23388154     DOI: 10.1017/S0033291713000135

Source DB:  PubMed          Journal:  Psychol Med        ISSN: 0033-2917            Impact factor:   7.723


  14 in total

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Journal:  Br J Psychiatry       Date:  2014-11-13       Impact factor: 9.319

2.  Socio-economic variations in the mental health treatment gap for people with anxiety, mood, and substance use disorders: results from the WHO World Mental Health (WMH) surveys.

Authors:  S Evans-Lacko; S Aguilar-Gaxiola; A Al-Hamzawi; J Alonso; C Benjet; R Bruffaerts; W T Chiu; S Florescu; G de Girolamo; O Gureje; J M Haro; Y He; C Hu; E G Karam; N Kawakami; S Lee; C Lund; V Kovess-Masfety; D Levinson; F Navarro-Mateu; B E Pennell; N A Sampson; K M Scott; H Tachimori; M Ten Have; M C Viana; D R Williams; B J Wojtyniak; Z Zarkov; R C Kessler; S Chatterji; G Thornicroft
Journal:  Psychol Med       Date:  2017-11-27       Impact factor: 7.723

3.  Mental disorders among college students in the World Health Organization World Mental Health Surveys.

Authors:  R P Auerbach; J Alonso; W G Axinn; P Cuijpers; D D Ebert; J G Green; I Hwang; R C Kessler; H Liu; P Mortier; M K Nock; S Pinder-Amaker; N A Sampson; S Aguilar-Gaxiola; A Al-Hamzawi; L H Andrade; C Benjet; J M Caldas-de-Almeida; K Demyttenaere; S Florescu; G de Girolamo; O Gureje; J M Haro; E G Karam; A Kiejna; V Kovess-Masfety; S Lee; J J McGrath; S O'Neill; B-E Pennell; K Scott; M Ten Have; Y Torres; A M Zaslavsky; Z Zarkov; R Bruffaerts
Journal:  Psychol Med       Date:  2016-08-03       Impact factor: 7.723

4.  Determinants of effective treatment coverage for major depressive disorder in the WHO World Mental Health Surveys.

Authors:  Daniel V Vigo; Alan E Kazdin; Nancy A Sampson; Irving Hwang; Jordi Alonso; Laura Helena Andrade; Olatunde Ayinde; Guilherme Borges; Ronny Bruffaerts; Brendan Bunting; Giovanni de Girolamo; Silvia Florescu; Oye Gureje; Josep Maria Haro; Meredith G Harris; Elie G Karam; Georges Karam; Viviane Kovess-Masfety; Sing Lee; Fernando Navarro-Mateu; José Posada-Villa; Kate Scott; Juan Carlos Stagnaro; Margreet Ten Have; Chi-Shin Wu; Miguel Xavier; Ronald C Kessler
Journal:  Int J Ment Health Syst       Date:  2022-06-23

5.  Socioeconomic position, symptoms of depression and subsequent mental healthcare treatment: a Danish register-based 6-month follow-up study on a population survey.

Authors:  Aake Packness; Anders Halling; Lene Halling Hastrup; Erik Simonsen; Sonja Wehberg; Frans Boch Waldorff
Journal:  BMJ Open       Date:  2018-10-03       Impact factor: 2.692

6.  Time-to-treatment of mental disorders in a community sample of Dutch adolescents. A TRAILS study.

Authors:  D Raven; F Jörg; E Visser; A J Oldehinkel; R A Schoevers
Journal:  Epidemiol Psychiatr Sci       Date:  2016-04-14       Impact factor: 6.892

7.  Toward measuring effective treatment coverage: critical bottlenecks in quality- and user-adjusted coverage for major depressive disorder.

Authors:  Daniel Vigo; Josep Maria Haro; Irving Hwang; Sergio Aguilar-Gaxiola; Jordi Alonso; Guilherme Borges; Ronny Bruffaerts; Jose Miguel Caldas-de-Almeida; Giovanni de Girolamo; Silvia Florescu; Oye Gureje; Elie Karam; Georges Karam; Viviane Kovess-Masfety; Sing Lee; Fernando Navarro-Mateu; Akin Ojagbemi; Jose Posada-Villa; Nancy A Sampson; Kate Scott; Juan Carlos Stagnaro; Margreet Ten Have; Maria Carmen Viana; Chi-Shin Wu; Somnath Chatterji; Pim Cuijpers; Graham Thornicroft; Ronald C Kessler
Journal:  Psychol Med       Date:  2020-10-20       Impact factor: 10.592

8.  Non-fatal disease burden for subtypes of depressive disorder: population-based epidemiological study.

Authors:  Karolien E M Biesheuvel-Leliefeld; Gemma D Kok; Claudi L H Bockting; Ron de Graaf; Margreet Ten Have; Henriette E van der Horst; Anneke van Schaik; Harm W J van Marwijk; Filip Smit
Journal:  BMC Psychiatry       Date:  2016-05-12       Impact factor: 3.630

9.  Improving Access to Mental Health Care by Delivering Psychotherapeutic Care in the Workplace: A Cross-Sectional Exploratory Trial.

Authors:  Eva Rothermund; Reinhold Kilian; Edit Rottler; Dorothea Mayer; Michael Hölzer; Monika A Rieger; Harald Gündel
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10.  Mental health assessment in health checks of participants aged 30-49 years: A large-scale cohort study.

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