Literature DB >> 21350809

Who receives depression-specific treatment? A secondary data-based analysis of outpatient care received by over 780,000 statutory health-insured individuals diagnosed with depression.

Stefanie Boenisch1, Rueya-Daniela Kocalevent, Herbert Matschinger, Roland Mergl, Claudia Wimmer-Brunauer, Martin Tauscher, Dietmar Kramer, Ulrich Hegerl, Anke Bramesfeld.   

Abstract

PURPOSE: This study examined the effects of individual and regional characteristics on receiving depression-specific treatment in the statutory health-insured population of Bavaria (83% of the population).
METHODS: Data of the Association of Statutory Health Insurance Physicians in Bavaria were analysed for prevalence, diagnosis of and treatment for depression in outpatient care by considering individual and regional characteristics.
RESULTS: Prevalence of diagnosed depression was 9.2% for the statutory health-insured population aged 18-100 years. More than half of all individuals diagnosed with depression (F32.x/F33.x) and more than one-third of persons diagnosed with severe depression (F32.2/.3 and F33.2/.3) did not receive depression-specific treatment. Rates of a depression-specific treatment were higher for females, the middle aged, individuals with more severe depression diagnoses, those with psychiatric comorbidity and those without physical comorbidity and for individuals living in more rural areas.
CONCLUSIONS: The pathways to depression-specific treatment for persons diagnosed with moderate and severe depression need to be improved. Training for physicians, stepped care approaches, psycho-education for patients and anti-stigma campaigns are possible measures to reach this goal. The knowledge on individual characteristics that influence receiving a depression-specific treatment is important to target the groups at increased risk for under-treatment.

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Year:  2011        PMID: 21350809     DOI: 10.1007/s00127-011-0355-y

Source DB:  PubMed          Journal:  Soc Psychiatry Psychiatr Epidemiol        ISSN: 0933-7954            Impact factor:   4.328


  26 in total

1.  A mixed-effects multinomial logistic regression model.

Authors:  Donald Hedeker
Journal:  Stat Med       Date:  2003-05-15       Impact factor: 2.373

2.  [The direct costs of depressive disorders in Germany].

Authors:  Susanne Friemel; Sebastian Bernert; Matthias C Angermeyer; Hans-Helmut König
Journal:  Psychiatr Prax       Date:  2005-04

3.  The incidence of first-onset depression in a population followed from the age of 70 to 85.

Authors:  S P Paĺsson; S Ostling; I Skoog
Journal:  Psychol Med       Date:  2001-10       Impact factor: 7.723

4.  Twelve-month use of mental health services in the United States: results from the National Comorbidity Survey Replication.

Authors:  Philip S Wang; Michael Lane; Mark Olfson; Harold A Pincus; Kenneth B Wells; Ronald C Kessler
Journal:  Arch Gen Psychiatry       Date:  2005-06

5.  The alliance against depression: 2-year evaluation of a community-based intervention to reduce suicidality.

Authors:  Ulrich Hegerl; David Althaus; Armin Schmidtke; Guenter Niklewski
Journal:  Psychol Med       Date:  2006-05-17       Impact factor: 7.723

6.  Cognitive therapy versus medication in augmentation and switch strategies as second-step treatments: a STAR*D report.

Authors:  Michael E Thase; Edward S Friedman; Melanie M Biggs; Stephen R Wisniewski; Madhukar H Trivedi; James F Luther; Maurizio Fava; Andrew A Nierenberg; Patrick J McGrath; Diane Warden; George Niederehe; Steven D Hollon; A John Rush
Journal:  Am J Psychiatry       Date:  2007-05       Impact factor: 18.112

7.  Selecting among second-step antidepressant medication monotherapies: predictive value of clinical, demographic, or first-step treatment features.

Authors:  A John Rush; Stephen R Wisniewski; Diane Warden; James F Luther; Lori L Davis; Maurizio Fava; Andrew A Nierenberg; Madhukar H Trivedi
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8.  [Mental disorders in the community: healthcare utilization and disability days].

Authors:  F Jacobi; M Klose; H-U Wittchen
Journal:  Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz       Date:  2004-08       Impact factor: 1.513

9.  Prevalence of mental disorders in Europe: results from the European Study of the Epidemiology of Mental Disorders (ESEMeD) project.

Authors:  J Alonso; M C Angermeyer; S Bernert; R Bruffaerts; T S Brugha; H Bryson; G de Girolamo; R Graaf; K Demyttenaere; I Gasquet; J M Haro; S J Katz; R C Kessler; V Kovess; J P Lépine; J Ormel; G Polidori; L J Russo; G Vilagut; J Almansa; S Arbabzadeh-Bouchez; J Autonell; M Bernal; M A Buist-Bouwman; M Codony; A Domingo-Salvany; M Ferrer; S S Joo; M Martínez-Alonso; H Matschinger; F Mazzi; Z Morgan; P Morosini; C Palacín; B Romera; N Taub; W A M Vollebergh
Journal:  Acta Psychiatr Scand Suppl       Date:  2004

Review 10.  Remission in major depressive disorder: a comparison of pharmacotherapy, psychotherapy, and control conditions.

Authors:  Nicola Casacalenda; J Christopher Perry; Karl Looper
Journal:  Am J Psychiatry       Date:  2002-08       Impact factor: 18.112

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  9 in total

1.  [Voluntary and mandatory quality assurance in mental health care: European examples].

Authors:  A Bramesfeld; G Willms; J Szecsenyi
Journal:  Nervenarzt       Date:  2015-11       Impact factor: 1.214

2.  The Treatment of Depression in Primary Care.

Authors:  Sebastian Trautmann; Katja Beesdo-Baum
Journal:  Dtsch Arztebl Int       Date:  2017-10-27       Impact factor: 5.594

3.  Longterm persistence and nonrecurrence of depression treatment in Germany: a four-year retrospective follow-up using linked claims data.

Authors:  Christoph J Wagner; Charalabos Markos Dintsios; Florian G Metzger; Helmut L'Hoest; Ursula Marschall; Bjoern Stollenwerk; Stephanie Stock
Journal:  Int J Methods Psychiatr Res       Date:  2018-02-15       Impact factor: 4.035

4.  Psychotherapy for depression in primary care: a panel survey of general practitioners' opinion and prescribing practice.

Authors:  Hélène Verdoux; Sébastien Cortaredona; Hélène Dumesnil; Remy Sebbah; Pierre Verger
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2013-06-16       Impact factor: 4.328

5.  [Predictive factors of depression and its therapy].

Authors:  H Himmerich; E Kohls; U Hegerl; C Rummel-Kluge
Journal:  Nervenarzt       Date:  2014-10       Impact factor: 1.214

6.  Feeling labeled, judged, lectured, and rejected by family and friends over depression: cautionary results for primary care clinicians from a multi-centered, qualitative study.

Authors:  Erik Fernandez Y-Garcia; Paul Duberstein; Debora A Paterniti; Camille S Cipri; Richard L Kravitz; Ronald M Epstein
Journal:  BMC Fam Pract       Date:  2012-06-29       Impact factor: 2.497

7.  Antidepressants: relationship to the time to psychiatric readmission and probability of being in hospital in depressive patients.

Authors:  Ingeborg Warnke; Carlos Nordt; Jörn Moock; Wolfram Kawohl; Wulf Rössler
Journal:  Front Public Health       Date:  2014-05-08

Review 8.  Indicators of patients with major depressive disorder in need of highly specialized care: A systematic review.

Authors:  Frédérique C W van Krugten; Meriam Kaddouri; Maartje Goorden; Anton J L M van Balkom; Claudi L H Bockting; Frenk P M L Peeters; Leona Hakkaart-van Roijen
Journal:  PLoS One       Date:  2017-02-08       Impact factor: 3.240

9.  Depression Awareness and Self-Management Through the Internet: Protocol for an Internationally Standardized Approach.

Authors:  Ella Arensman; Nicole Koburger; Celine Larkin; Gillian Karwig; Claire Coffey; Margaret Maxwell; Fiona Harris; Christine Rummel-Kluge; Chantal van Audenhove; Merike Sisask; Anna Alexandrova-Karamanova; Victor Perez; György Purebl; Annabel Cebria; Diego Palao; Susana Costa; Lauraliisa Mark; Mónika Ditta Tóth; Marieta Gecheva; Angela Ibelshäuser; Ricardo Gusmão; Ulrich Hegerl
Journal:  JMIR Res Protoc       Date:  2015-08-06
  9 in total

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