Skip to main content

Advertisement

Log in

Predictors of non-drug psychiatric/psychotherapeutic treatment in children and adolescents with mental or behavioural disorders

  • Original Contribution
  • Published:
European Child & Adolescent Psychiatry Aims and scope Submit manuscript

Abstract

Children and adolescents with mental health problems need effective and safe therapies to support their emotional and social development and to avoid functional impairment and progress of social deficits. Though psychotropic drugs seem to be the preferential treatment, psychotherapy and psychosocial interventions are essential in mental health care. For Germany, current data on the utilization of psychotherapy and psychosocial interventions in children with mental health problems is lacking. To analyse why certain children and adolescents with mental or behavioural disorders do and others do not receive non-drug treatment, we assessed predictors associated with specific non-drug psychiatric/psychotherapeutic treatment including psychosocial interventions, psychotherapy and other non-drug treatments. The study is based on data of two large German health insurance funds, AOK and TK, comprising 30 % of the German child and adolescent population. Predictors of non-drug psychiatric/psychotherapeutic treatment were analysed for 23,795 cases and two controls for every case of the same age and sex in children aged 0–17 years following a new diagnosis of mental or behavioural disorder in 2010. Predictors were divided according to Andersen’s behavioural model into predisposing, need and enabling factors. The most prominent and significant predictors positively associated with non-drug psychiatric/psychotherapeutic treatment were the residential region as predisposing factor; specific, both ex- and internalizing, mental and behavioural disorders, psychiatric co-morbidity and psychotropic drug use as need factors; and low area deprivation and high accessibility to outpatient physicians and inpatient institutions with non-drug psychiatric/psychotherapeutic department as enabling factors. In conclusion, the present study suggests that the residential region as proxy for supply of therapist and socioeconomic situation is an influencing factor for the use of psychotherapy. The analysis sheds further light on predisposing, need and enabling factors as predictors of non-drug psychotherapeutic/psychiatric treatment in children and adolescents with mental or behavioural health disorders in Germany. More research is needed to further understand the factors promoting the gap between the need and utilization of mental health care.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Einheitlicher Bewertungsmaßstab (EBM), Kassenärztliche Bundesvereinigung (KBV), National Association of Statutory Health Insurance Physicians. http://www.kbv.de/html/ebm.php. Accessed 08 March 2016

  2. Abbas S, Ihle P, Adler JB, Engel S, Günster C, Linder R, Lehmkuhl G, Schubert I (2015) Antipsychotika bei Kindern und Jugendlichen in Deutschland: Trends in den Verordnungs- und Neuverordnungsraten und Charakterisierung der Empfänger. In: Klauber J, Günster C, Gerste B, Robra BP, Schmacke N (eds) Versorgungsreport 2015/2016. Schattauer, Stuttgart

    Google Scholar 

  3. Abbas S, Ihle P, Harder S, Schubert I (2014) Risk of bleeding and antibiotic use in patients receiving continuous phenprocoumon therapy. A case-control study nested in a large insurance- and population-based German cohort. Thromb Haemost 111:912–922

    Article  CAS  PubMed  Google Scholar 

  4. Andersen RM (1995) Revisiting the behavioral model and access to medical care: does it matter? J Health Soc Behav 36:1–10

    Article  CAS  PubMed  Google Scholar 

  5. Andersson T, Värbrand P (2007) Decision support tools for ambulance dispatch and relocation. J Oper Res Soc 58:195–201

    Article  Google Scholar 

  6. Braun S, Zeidler J, Linder R, Engel S, Verheyen F, Greiner W (2013) Treatment costs of attention deficit hyperactivity disorder in Germany. Eur J Health Econ 14:939–945

    Article  PubMed  Google Scholar 

  7. Casey RJ, Berman JS (1985) The outcome of psychotherapy with children. Psychol Bull 98:388–400

    Article  CAS  PubMed  Google Scholar 

  8. Coomer RA (2013) The experiences of parents of children with mental disability regarding access to mental health care. Afr J Psychiatry (Johannesbg) 16:271–276

    CAS  Google Scholar 

  9. Cully JA, Tolpin L, Henderson L, Jimenez D, Kunik ME, Petersen LA (2008) Psychotherapy in the veterans health administration: missed opportunities? Psychol Serv 5:320–331

    Article  PubMed  PubMed Central  Google Scholar 

  10. Cunningham PJ, Freiman MP (1996) Determinants of ambulatory mental health services use for school-age children and adolescents. Health Serv Res 31:409–427

    CAS  PubMed  PubMed Central  Google Scholar 

  11. Emmelkamp PM, David D, Beckers T, Muris P, Cuijpers P, Lutz W, Andersson G, Araya R, Banos Rivera RM, Barkham M, Berking M, Berger T, Botella C, Carlbring P, Colom F, Essau C, Hermans D, Hofmann SG, Knappe S, Ollendick TH, Raes F, Rief W, Riper H, Van der Oord S, Vervliet B (2014) Advancing psychotherapy and evidence-based psychological interventions. Int J Methods Psychiatr Res 23(Suppl 1):58–91

    Article  PubMed  Google Scholar 

  12. Esser G, Blank S (2011) Efficacy of psychotherapy with children and adolescents. Prax Kinderpsychol Kinderpsychiatr 60:626–638

    Article  PubMed  Google Scholar 

  13. Gellad WF, Stein BD, Ruder T, Henderson R, Frazee SG, Mehrotra A, Donohue JM (2014) Geographic variation in receipt of psychotherapy in children receiving attention-deficit/hyperactivity disorder medications. JAMA Pediatr 168:1074–1076

    Article  PubMed  Google Scholar 

  14. German Institute of Medical Documentation and Information (2011) ICD-10. International statistical classification of diseases and related health problems, German Modification. Deutscher Ärzte-Verlag, Köln

    Google Scholar 

  15. Grundmann N, Mielck A, Siegel M, Maier W (2014) Area deprivation and the prevalence of type 2 diabetes and obesity: analysis at the municipality level in Germany. BMC Public Health 14:1264

    Article  PubMed  PubMed Central  Google Scholar 

  16. Harpaz-Rotem I, Libby D, Rosenheck RA (2012) Psychotherapy use in a privately insured population of patients diagnosed with a mental disorder. Soc Psychiatry Psychiatr Epidemiol 47:1837–1844

    Article  PubMed  Google Scholar 

  17. Heiervang E, Stormark KM, Lundervold AJ, Heimann M, Goodman R, Posserud MB, Ullebo AK, Plessen KJ, Bjelland I, Lie SA, Gillberg C (2007) Psychiatric disorders in Norwegian 8- to 10-year-olds: an epidemiological survey of prevalence, risk factors, and service use. J Am Acad Child Adolesc Psychiatry 46:438–447

    Article  PubMed  Google Scholar 

  18. Heller G, Babitsch B, Gunster C, Mockel M (2008) Mortality following myocardial infarction in women and men: an analysis of insurance claims data from inpatient hospitalizations. Dtsch Arztebl Int 105:279–285

    PubMed  PubMed Central  Google Scholar 

  19. Hinshaw SP, Arnold LE (2015) Attention-deficit hyperactivity disorder, multimodal treatment, and longitudinal outcome: evidence, paradox, and challenge. Wiley Interdiscip Rev Cogn Sci 6:39–52

    Article  PubMed Central  Google Scholar 

  20. Hintzpeter B, Klasen F, Schon G, Voss C, Holling H, Ravens-Sieberer U (2015) Mental health care use among children and adolescents in Germany: results of the longitudinal BELLA study. Eur Child Adolesc Psychiatry 24:705–713

    Article  PubMed  Google Scholar 

  21. Hoffmeyer-Zlotnik JHP (2000) Regionalisierung von Umfragedaten. Eine kleine Handlungsanleitung. ZUMA How-to-Reihe 4

  22. Hundt NE, Barrera TL, Mott JM, Mignogna J, Yu HJ, Sansgiry S, Stanley MA, Cully JA (2014) Predisposing, enabling, and need factors as predictors of low and high psychotherapy utilization in veterans. Psychol Serv 11:281–289

    Article  PubMed  Google Scholar 

  23. Hunt MG, Rosenheck RA (2011) Psychotherapy in mental health clinics of the Department of Veterans Affairs. J Clin Psychol 67:561–573

    Article  PubMed  Google Scholar 

  24. Kazdin AE, Bass D, Ayers WA, Rodgers A (1990) Empirical and clinical focus of child and adolescent psychotherapy research. J Consult Clin Psychol 58:729–740

    Article  CAS  PubMed  Google Scholar 

  25. Kearns MA, Hawley KM (2014) Predictors of polypharmacy and off-label prescribing of psychotropic medications: a national survey of child and adolescent psychiatrists. J Psychiatr Pract 20:438–447

    Article  PubMed  Google Scholar 

  26. Klose J, Rehbein I (2011) Ärzteatlas 2011 - Daten zur Versorgungsdichte von Vertragsärzten. Wissenschaftliches Insitut der AOK, Berlin

    Google Scholar 

  27. Koller D, Hoffmann F, Maier W, Tholen K, Windt R, Glaeske G (2013) Variation in antibiotic prescriptions: is area deprivation an explanation? Analysis of 1.2 million children in Germany. Infection 41:121–127

    Article  CAS  PubMed  Google Scholar 

  28. Laitinen-Krispijn S, van der EJ, Wierdsma AI, Verhulst FC (1999) Predicting adolescent mental health service use in a prospective record-linkage study. J Am Acad Child Adolesc Psychiatry 38:1073–1080

    Article  CAS  PubMed  Google Scholar 

  29. Lazar SG (2014) The cost-effectiveness of psychotherapy for the major psychiatric diagnoses. Psychodyn Psychiatry 42:423–457

    Article  PubMed  Google Scholar 

  30. Lian M, Struthers J, Schootman M (2012) Comparing GIS-based measures in access to mammography and their validity in predicting neighborhood risk of late-stage breast cancer. PLoS ONE 7:e43000

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  31. Luo W, Wang F (2003) Measures of spatial accessibility to health care in a GIS environment: synthesis and a case study in the Chicago region. Environment and Planning B 30:865–884

    Article  Google Scholar 

  32. Maier W, Fairburn J, Mielck A (2012) Regional deprivation and mortality in Bavaria. Development of a community-based index of multiple deprivation. Gesundheitswesen 74:416–425

    Article  CAS  PubMed  Google Scholar 

  33. Maier W, Holle R, Hunger M, Peters A, Meisinger C, Greiser KH, Kluttig A, Volzke H, Schipf S, Moebus S, Bokhof B, Berger K, Mueller G, Rathmann W, Tamayo T, Mielck A (2013) The impact of regional deprivation and individual socio-economic status on the prevalence of Type 2 diabetes in Germany. A pooled analysis of five population-based studies. Diabet Med 30:e78–e86

    Article  CAS  PubMed  Google Scholar 

  34. March J, Silva S, Petrycki S, Curry J, Wells K, Fairbank J, Burns B, Domino M, McNulty S, Vitiello B, Severe J (2004) Fluoxetine, cognitive-behavioral therapy, and their combination for adolescents with depression: treatment for adolescents with depression study (TADS) randomized controlled trial. JAMA 292:807–820

    Article  CAS  PubMed  Google Scholar 

  35. McGrail MR (2012) Spatial accessibility of primary health care utilising the two step floating catchment area method: an assessment of recent improvements. Int J Health Geogr 11:50

    Article  PubMed  PubMed Central  Google Scholar 

  36. McGrail MR, Humphrey JS (2009) Measuring spatial accessibility to primary care in rural areas: improving the effectiveness of the two-step floating catchment area method. Applied Geopgraphy 29:533–541

    Article  Google Scholar 

  37. Merikangas KR, He JP, Burstein M, Swendsen J, Avenevoli S, Case B, Georgiades K, Heaton L, Swanson S, Olfson M (2011) Service utilization for lifetime mental disorders in U.S. adolescents: results of the National Comorbidity Survey-Adolescent Supplement (NCS-A). J Am Acad Child Adolesc Psychiatry 50:32–45

    Article  PubMed  Google Scholar 

  38. Noble M, Wright G, Smith G, Dibben C (2006) Measuring multiple deprivation at the small-area level. Environ Plan A 38:169–185

    Article  Google Scholar 

  39. Olfson M, Blanco C, Wang S, Laje G, Correll CU (2014) National trends in the mental health care of children, adolescents, and adults by office-based physicians. JAMA Psychiatry 71:81–90

    Article  PubMed  Google Scholar 

  40. Olfson M, Druss BG, Marcus SC (2015) Trends in mental health care among children and adolescents. N Engl J Med 372:2029–2038

    Article  PubMed  Google Scholar 

  41. Olfson M, Marcus SC (2010) National trends in outpatient psychotherapy. Am J Psychiatry 167:1456–1463

    Article  PubMed  Google Scholar 

  42. Owens PL, Hoagwood K, Horwitz SM, Leaf PJ, Poduska JM, Kellam SG, Ialongo NS (2002) Barriers to children’s mental health services. J Am Acad Child Adolesc Psychiatry 41:731–738

    Article  PubMed  Google Scholar 

  43. Patel V, Kieling C, Maulik PK, Divan G (2013) Improving access to care for children with mental disorders: a global perspective. Arch Dis Child 98:323–327

    Article  PubMed  PubMed Central  Google Scholar 

  44. Paula CS, Bordin IA, Mari JJ, Velasque L, Rohde LA, Coutinho ES (2014) The mental health care gap among children and adolescents: data from an epidemiological survey from four Brazilian regions. PLoS One 9:e88241

    Article  PubMed  PubMed Central  Google Scholar 

  45. Piantadosi S, Byar DP, Green SB (1988) The ecological fallacy. Am J Epidemiol 127:893–904

    Article  CAS  PubMed  Google Scholar 

  46. Posserud MB, Lundervold AJ (2013) Mental health services use predicted by number of mental health problems and gender in a total population study. Sci World J 2013:247283

    Article  Google Scholar 

  47. Rothman KJ, Greenland S, Lash TL (2008) Case-control studies. Modern Epidemiology. 3rd ed. 15 edn. Lippincott Williams and Wilkins 2008

  48. Schmidt SJ, Schimmelmann BG (2015) Progress, challenges and new perspectives in psychotherapy research in children and adolescents. Z Kinder Jugendpsychiatr Psychother 43:85–90

    Article  PubMed  Google Scholar 

  49. Stein REK, Silver EJ (2003) Patterns of medical, educational, and mental health service use in a national sample of US children. Ambul Pediatr 3:87–92

    Article  PubMed  Google Scholar 

  50. Sturm R, Ringel JS, Andreyeva T (2003) Geographic disparities in children’s mental health care. Pediatrics 112:e308

    Article  PubMed  Google Scholar 

  51. Sutton AJ, Abrams KR, Jones DR, Sheldon TA, Song F (2000) Meta-analysis in medical research: chapter 4: fixed effects methods for combining study estimates. Wiley, West Sussex

    Google Scholar 

  52. Swart E, Gothe H, Geyer S, Jaunzeme J, Maier B, Grobe TG, Ihle P (2015) Good practice of secondary data analysis (GPS): guidelines and recommendations. Gesundheitswesen 77:120–126

    Article  CAS  PubMed  Google Scholar 

  53. van Jaarsveld CH, Miles A, Wardle J (2007) Pathways from deprivation to health differed between individual and neighborhood-based indices. J Clin Epidemiol 60:712–719

    Article  PubMed  Google Scholar 

  54. Verhulst FC, van der EJ (1997) Factors associated with child mental health service use in the community. J Am Acad Child Adolesc Psychiatry 36:901–909

    Article  CAS  PubMed  Google Scholar 

  55. Weisz JR, Kuppens S, Eckshtain D, Ugueto AM, Hawley KM, Jensen-Doss A (2013) Performance of evidence-based youth psychotherapies compared with usual clinical care: a multilevel meta-analysis. JAMA Psychiatry 70:750–761

    Article  CAS  PubMed  Google Scholar 

  56. Weisz JR, Weiss B, Alicke MD, Klotz ML (1987) Effectiveness of psychotherapy with children and adolescents: a meta-analysis for clinicians. J Consult Clin Psychol 55:542–549

    Article  CAS  PubMed  Google Scholar 

  57. Weisz JR, Weiss B, Han SS, Granger DA, Morton T (1995) Effects of psychotherapy with children and adolescents revisited: a meta-analysis of treatment outcome studies. Psychol Bull 117:450–468

    Article  CAS  PubMed  Google Scholar 

  58. Wilk JE, West JC, Rae DS, Regier DA (2006) Patterns of adult psychotherapy in psychiatric practice. Psychiatr Serv 57:472–476

    Article  PubMed  Google Scholar 

  59. Wilke T, Ahrendt P, Schwartz D, Linder R, Ahrens S, Verheyen F (2013) Incidence and prevalence of type 2 diabetes mellitus in Germany: an analysis based on 5.43 million patients. Dtsch Med Wochenschr 138:69–75

    Article  CAS  PubMed  Google Scholar 

  60. Wolfle S, Jost D, Oades R, Schlack R, Holling H, Hebebrand J (2014) Somatic and mental health service use of children and adolescents in Germany (KiGGS-study). Eur Child Adolesc Psychiatry 23:753–764

    Article  PubMed  Google Scholar 

Download references

Acknowledgments

We thank the Deutsche Post Direkt GmbH for providing postal code/municipality relation tables (Datafactory Basic) and the National Association of Statutory Health Insurance Physicians for providing data of the federal registry of physicians. We further thank the scientific advisory council, Dr. Anselm Bönte, Prof. Dr. Oliver Fricke and Dr. Monika Panhuysen for their input and the fruitful discussions.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ingrid Schubert.

Ethics declarations

Conflict of interest

Sascha Abbas, Jürgen-Bernhard Adler, Susanne Engel, Christian Günster, Peter Ihle, Axel Kortevoss, Gerd Lehmkuhl, Roland Linder, Werner Maier and Ingrid Schubert have no conflict of interest to declare. Martin Holtmann served in an advisory or consultancy role for Lilly, Shire and Medice, and received conference attendance support or was paid for public speaking by Bristol-Myers Squibb, Lilly, Medice, Neuroconn and Shire. The PMV Research Group has received unrestricted research grants for the university from the Ministry of Health, Ministry of Education and Research, sickness funds, private foundations and drug companies. The study was funded by a Grant of the German Federal Ministry of Education and Research (Grant Number: 01GY1130).

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary material 1 (DOCX 16 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Abbas, S., Ihle, P., Adler, JB. et al. Predictors of non-drug psychiatric/psychotherapeutic treatment in children and adolescents with mental or behavioural disorders. Eur Child Adolesc Psychiatry 26, 433–444 (2017). https://doi.org/10.1007/s00787-016-0900-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00787-016-0900-z

Keywords

Navigation