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Delays in making initial treatment contact after the first onset of mental health disorders in the Argentinean Study of Mental Health Epidemiology

Published online by Cambridge University Press:  15 March 2018

J. C. Stagnaro
Affiliation:
Universidad de Buenos Aires, Facultad de Medicina, Buenos Aires, Argentina
A. H. Cia
Affiliation:
Anxiety Clinic and Research Center, Buenos Aires, Argentina
H. Vommaro
Affiliation:
Universidad de Buenos Aires, Facultad de Medicina, Buenos Aires, Argentina
S. Sustas
Affiliation:
Universidad de Buenos Aires, Facultad de Medicina, Buenos Aires, Argentina
N. Vázquez
Affiliation:
Universidad de Buenos Aires, Facultad de Medicina, Buenos Aires, Argentina
E. Serfaty
Affiliation:
Academia Nacional de Medicina, Centro de Estudios Epidemiológicos, Buenos Aires, Argentina
R. C. Kessler
Affiliation:
Department of Health Care Policy, Harvard Medical School, Boston
C. Benjet*
Affiliation:
National Institute of Psychiatry Ramón de la Fuente Muñiz, Mexico
*
*Address for correspondence: C. Benjet, Instituto Nacional de Psiquiatría Ramón de la Fuente, Calzada México-Xochimilco 101, Colonia San Lorenzo Huipulco, Mexico City, 14370, Mexico. (E-mail: cbenjet@gmail.com)

Abstract

Aims.

While there are effective treatments for psychiatric disorders, many individuals with such disorders do not receive treatment and those that do often take years to get into treatment. Information regarding treatment contact failure and delay in Argentina is needed to guide public health policy and planning. Therefore, this study aimed to provide data on prompt treatment contact, lifetime treatment contact, median duration of treatment delays and socio-demographic predictors of treatment contact after the first onset of a mental disorder.

Methods.

The Argentinean Study of Mental Health Epidemiology (EAESM) is a multistage probability sample representative of adults (aged 18+) living in large urban areas of Argentina. A total of 2116 participants were evaluated with the World Mental Health Composite International Diagnostic Interview to assess psychiatric diagnosis, treatment contact and delay.

Results.

Projections of cases that will make treatment contact by 50 years taken from a survival curve suggest that the majority of individuals with a mood (100%) or anxiety disorder (72.5%) in Argentina whose disorder persist for a sufficient period of time eventually make treatment contact while fewer with a substance disorder do so (41.6%). Timely treatment in the year of onset is rare (2.6% for a substance disorder, 14.6% for an anxiety disorder and 31.3% of those with a mood disorder) with mean delays between 8 years for mood disorders and 21 years for anxiety disorders. Younger cohorts are more likely to make treatment contact than older cohorts, whereas those with earlier ages of disorder onset are least likely to make treatment contact. Those with anxiety disorders and major depressive disorder are more likely to make treatment contact when they have comorbid disorders, whereas those with substance use disorders are less likely.

Conclusions.

Argentina needs to implement strategies to get individuals with substance use disorders into treatment, and to reduce treatment delays for all, but particularly to target early detection and treatment among children and adolescents.

Type
Original Articles
Copyright
Copyright © Cambridge University Press 2018 

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References

American Psychiatric Association (1994). DSM-IV: Diagnostic and Statistical Manual of Mental Disorders, 4th edn. American Psychiatric Association: Washington, DC.Google Scholar
Andrade, LH, Alonso, J, Mneimneh, Z, Wells, JE, Al-Hamzawi, A, Borges, G, Bromet, E, Bruffaerts, R, de Girolamo, G, de Graaf, R, Florescu, S, Gureje, O, Hinkov, HR, Hu, C, Huang, Y, Hwang, I, Jin, R, Karam, EG, Kovess-Masfety, V, Levinson, D, Matschinger, H, O'Neill, S, Posada-Villa, J, Sagar, R, Sampson, NA, Sasu, C, Stein, DJ, Takeshima, T, Viana, MC, Xavier, M, Kessler, RC (2014). Barriers to mental health treatment: results from the WHO World Mental Health (WMH) Surveys. Psychological Medicine 44(6), 13031317.Google Scholar
Blanco, C, Iza, M, Schwartz, RP, Rafful, C, Wang, S, Olfson, M (2013). Probability and predictors of treatment-seeking for prescription opioid use disorders: a national study. Drug and Alcohol Dependence 131(1–2), 143148.Google Scholar
Borges, G, Wang, PS, Medina-Mora, ME, Lara, C, Chiu, WT (2007). Delay of first treatment of mental and substance use disorders in Mexico. American Journal of Public Health 97(9), 16381643.Google Scholar
Borruel, MA, Mas, IP, Borruel, GD (2010). Estudio de Carga de Enfermedad: Argentina [Study of the Burden of Disease; Argentina]. Ministerio de Salud de la Nación: Buenos Aires.Google Scholar
Boulos, D, Zamorski, MA (2015). Do shorter delays to care and mental health system renewal translate into better occupational outcome after mental disorder diagnosis in a cohort of Canadian military personnel who returned from an Afghanistan deployment? BMJ Open 5(12), e008591.Google Scholar
Cameron, CM, Purdie, DM, Kliewer, EV, McClure, RJ (2006). Mental health: a cause or consequence of injury? A population-based matched cohort study. BMC Public Health 6, 114.Google Scholar
Chapman, C, Slade, T, Hunt, C, Teesson, M (2015). Delay to first treatment contact for alcohol use disorder. Drug and Alcohol Dependence 147, 116121.Google Scholar
Cía, AH, Stagnaro, JC, Aguilar Gaxiola, S, Vommaro, H, Loera, G, Medina-Mora, ME, Sustas, S, Benjet, C, Kessler, RC (2018). Lifetime prevalence and age-of-onset of mental disorders in adults from the Argentinean study of mental health epidemiology. Social Psychiatry and Psychiatric Epidemiology. [Epub ahead of print] doi: 10.1007/s00127-018-1492-3.Google Scholar
Dockery, L, Jeffery, D, Schauman, O., Williams, P, Farrelly, S, Bonnington, O, Gabbidon, J, Lassman, F, Szmukler, G, Thornicroft, G, Clement, S, MIRIAD study group (2015). Stigma- and non-stigma-related treatment barriers to mental healthcare reported by service users and caregivers. Psychiatry Research 228(3), 612619.Google Scholar
Efron, B (1988). Logistic regression, survival analysis, and the Kaplan-Meier curve. Journal of the American Statistical Association 83, 414425.Google Scholar
Erskine, HE, Norman, RE, Ferrari, AJ, Chan, GC, Copeland, WE, Whitefor, HA, Scott, JG (2016). Long-term outcomes of attention-deficit/hyperactivity disorder and conduct disorder: a systematic review and meta-analysis. Journal of the American Academy of Child and Adolescent Psychiatry 55(10), 841850.Google Scholar
GBD 2013 Mortality and Causes of Death Collaborators (2015). Global, regional, and national age-sex specific all-cause and cause-specific mortality for 240 causes of death, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013. The Lancet 385, 117171.Google Scholar
Global Burden of Disease Study 2013 Collaborators. (2015). Global, regional and national incidence, prevalence, and years lived with disability for 301 acute and chronic conditions and injuries for 188 countries, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013. The Lancet 386(9995), 743800.Google Scholar
Goi, PR, Viana-Sulzbah, M, Silveira, L, Grande, I, Chendo, I, Sodré, LA, Ceresér, KM, Rosa, AR, Kunz, M, Kauer-Sant'Anna, M, Massuda, R, Kapczinski, F, Gama, CS (2015). Treatment delay is associated with more episodes and more severe illness staging progression in patients with bipolar disorder. Psychiatry Research 227(2–3), 372373.Google Scholar
Haro, JM, Arbabzadeh-Bouchez, S, Brugha, TS, de Girolamo, G, Guyer, ME, Jin, R, Lepine, JP, Mazzi, F, Reneses, B, Vilagut, G, Sampson, NA, Kessler, RC (2006). Concordance of the composite international diagnostic interview version 3.0 (CIDI 3.0) with standardized clinical assessments in the WHO World Mental Health Surveys. International Journal of Methods in Psychiatric Research 15, 167180.Google Scholar
Haughwout, SP, Harford, TC, Castle, IJ, Grant, BF (2016). Treatment utilization among adolescent substance users: findings from the 2002 to 2013 national survey on drug use and health. Alcoholism: Clinical and Experimental Research 40(8), 17171727.Google Scholar
Kendler, KS, Ohlsson, H, Karriker-JAffe, KJ, Sundquist, J, Sundquist, K (2017). Social and economic consequences of alcohol use disorder: a longitudinal cohort and co-relative analysis. Psychological Medicine 47(5), 925935.Google Scholar
Kessler, RC, Üstün, TB. (2004). The World Mental Health Survey initiative version of the World Health Organization (WHO) Composite International Diagnostic Interview (CIDI). International Journal of Methods in Psychiatric Research 13, 93121.Google Scholar
Kessler, RC, Üstün, TB (2008). The WHO World Mental Health Surveys: Global Perspectives on the Epidemiology of Mental Disorders. Cambridge University Press: New York.Google Scholar
Kessler, RC, Foster, CL, Saunders, WB, Stang, PE. (1995). Social consequences of psychiatric disorders, I: educational attainment. American Journal of Psychiatry 152(7), 10261032.Google Scholar
Kessler, RC, Walters, EE, Forthofer, MS (1998). The social consequences of psychiatric disorders, III: probability of marital stability. American Journal of Psychiatry 155(8), 10921096.Google Scholar
Kessler, RC, Angermeyer, M, Anthony, JC, de Graff, R, Demyttenaere, K, Gasquet, I, De Girolamo, G, Gluzman, S, Gureje, O, Haro, JM, Kawakami, N, Karam, A, Levinson, D, Medina Mora, ME, Oakley Browne, MA, Posada-Villa, J, Stein, DJ, Adley Tsang, CH, Aguilar-Gaxiola, S, Alonso, J, Lee, S, Heeringa, S, Pennell, BE, Berglund, P, Gruber, MJ, Petukhova, M, Chatterji, S, Ustün, TB (2007). Lifetime prevalence and age-of-onset distributions of mental disorders in the world mental health organization's world mental health survey initiative. World Psychiatry 6, 168176.Google Scholar
Knauper, B, Cannell, CF, Schwarz, N, Bruce, ML, Kessler, RC (1999). Improving the accuracy of major depression age-of-onset reports in the US National Comorbidity Survey. International Journal of Methods in Psychiatric Research 8, 3948.Google Scholar
Kvitland, LR, Ringen, PA, Aminoff, SR, Demmo, C, Hellvin, T, Lagerberg, TV, Andreassen, OA, Melle, I. (2016). Duration of untreated illness in first-treatment bipolar I disorder in relation to clinical outcome and cannabis use. Psychiatry Research 246, 762768.Google Scholar
Marín-Navarrete, R, Medina-Mora, ME, Horigian, VE, Salloum, IM, Villalobos-Gallegos, L, Fernández-Mondragón, J (2016). Co-occurring disorders: a challenge for Mexican community-based residential care facilities for substance use. Journal of Dual Diagnosis 12, 261270.Google Scholar
Post, RM, Weiss, SR (1998). Sensitization and kindling phenomena in mood, anxiety and obsessive-compulsive disorders: the role of serotonergic mechanisms in illness progression. Biological Psychiatry 44(3), 193206.Google Scholar
SAS Institute (2001). SAS/STAT Software: Changes and Enhancements, Release 8.2. SAS Institute Inc: Cary, NC.Google Scholar
Serfaty, E (2001). Dual pathology. The comorbidity of psychiatric disorder and psychoactive drug abuse. Psicofarmacología 71, 1724.Google Scholar
Suka, M, Yamauchi, T, Sugimori, H (2016). Help-seeking intentions for early signs of mental illness and their associated factors: comparison across four kinds of health problems. BMC Public Health 16, 301.Google Scholar
Research Triangle Institute (2002). SUDAAN: Professional Software for Survey Data Analysis [Computer Program]. Version 8.0.1. Research Triangle Institute: Research Triangle Park, NC.Google Scholar
Ten Have, M, de Graaf, R, van Dorsselaer, S, Beekman, A (2013). Lifetime treatment contact and delay in treatment seeking after first onset of a mental disorder. Psychiatric Services 64, 981989.Google Scholar
United Nations Development Programme (UNDP) (2013) Human Development Report 2013: The rise of the South: Human progress in a diverse world. Retrieved June 2017 from http://hdr.undp.org/sites/default/files/Country-Profiles/ARG.pdf.Google Scholar
Wang, PS, Aguilar-Gaxiola, S, Alonso, J, Angermeyer, MC, Borges, G, Bromet, EJ, Bruffaerts, R, de Girolamo, G, de Graaf, R, Gureje, O, Haro, JM, Karam, EG, Kessler, RC, Kovess, V, Lane, MC, Lee, S, Levinson, D, Ono, Y, Petukhova, M, Posada-Villa, J, Seedat, S, Wells, JE (2007a). Use of mental health services for anxiety, mood, and substance disorders: results from 17 countries in the WHO World Mental Health (WMH) Surveys. The Lancet 370(9590), 841850.Google Scholar
Wang, PS, Angermeyer, M, Borges, F, Bruffaerts, R, Tat Chiu, W, De Girolamo, G, Fayyad, J, Gureje, O, Haro, JM, Huang, Y, Kessler, RC, Kovess, V, Levinson, D, Nakane, Y, Oakley Brown, MA, Ormel, JH, Posada-Villa, J, Aguilar-Gaxiola, S, Alonso, J, Lee, S, Heeringa, S, Pennell, BE, Chatterji, S, Ustün, TB (2007b). Delay and failure in treatment seeking after first onset of mental disorders in the World Health Organization's World Mental Health Survey initiative. World Psychiatry 6, 177185.Google Scholar
World Health Organization (2005) Mental Health Atlas 2005. World Health Organization: Geneva.Google Scholar