TY - JOUR
T1 - Barriers to 12-month treatment of common anxiety, mood, and substance use disorders in the World Mental Health (WMH) surveys
AU - Viana, Maria Carmen
AU - Kazdin, Alan E.
AU - Harris, Meredith G.
AU - Stein, Dan J.
AU - Vigo, Daniel V.
AU - Hwang, Irving
AU - Manoukian, Sophie M.
AU - Sampson, Nancy A.
AU - Alonso, Jordi
AU - Andrade, Laura Helena
AU - Borges, Guilherme
AU - Bunting, Brendan
AU - de Girolamo, Giovanni
AU - Jonge, Peter de
AU - Gureje, Oye
AU - Haro, Josep Maria
AU - Karam, Elie G.
AU - Kovess-Masfety, Viviane
AU - Moskalewicz, Jacek
AU - Navarro-Mateu, Fernando
AU - Nishi, Daisuke
AU - Piazza, Marina
AU - Posada-Villa, José
AU - Scott, Kate M.
AU - Vladescu, Cristian
AU - Wojtyniak, Bogdan
AU - Zarkov, Zahari
AU - Kessler, Ronald C.
AU - Kessler, Timothy
AU - Zaslavsky, Alan M.
AU - Xavier, Miguel
AU - Woodruff, Peter
AU - Williams, David R.
AU - Torres, Yolanda
AU - Have, Margreet ten
AU - Stagnaro, Juan Carlos
AU - Medina-Mora, Maria Elena
AU - McGrath, John J.
AU - Kiejna, Andrzej
AU - Khaled, Salma
AU - Kawakami, Norito
AU - Karam, Georges
AU - Karam, Aimee Nasser
AU - Jonge, Peter de
AU - Hu, Chi Yi
AU - Hinkov, Hristo
AU - Caldas-de-Almeida, Jose Miguel
AU - Cardoso, Graça
AU - Guzman, Ma Lourdes Rosanna E.de
N1 - Funding Information:
The World Mental Health Survey collaborators are Sergio Aguilar-Gaxiola, MD, PhD; Ali Al-Hamzawi, MD; Jordi Alonso, MD, PhD; Yasmin A. Altwaijri, PhD; Laura Helena Andrade, MD, PhD; Lukoye Atwoli, MD, PhD; Corina Benjet, PhD; Guilherme Borges, ScD; Evelyn J. Bromet, PhD; Ronny Bruffaerts, PhD; Brendan Bunting, PhD; Jose Miguel Caldas-de-Almeida, MD, PhD; Gra\u00E7a Cardoso, MD, PhD; Stephanie Chardoul, BA; Alfredo H. C\u00EDa, MD; Louisa Degenhardt, PhD; Giovanni de Girolamo, MD; Ma. Lourdes Rosanna E. de Guzman, MD; Oye Gureje, MD, DSc, FRCPsych; Josep Maria Haro, MD, PhD; Meredith G. Harris, PhD; Hristo Hinkov, MD, PhD; Chi-yi Hu, MD, PhD; Peter de Jonge, PhD; Aimee Nasser Karam, PhD; Elie G. Karam, MD; Georges Karam, MD; Alan E. Kazdin, PhD; Norito Kawakami, MD, DMSc; Ronald C. Kessler, PhD; Salma Khaled, PhD; Andrzej Kiejna, MD, PhD; Viviane Kovess-Masfety, MD, PhD; John J. McGrath, MD, PhD; Maria Elena Medina-Mora, PhD; Jacek Moskalewicz, PhD; Fernando Navarro-Mateu, MD, PhD; Daisuke Nishi, MD, PhD; Marina Piazza, MPH, ScD; Jos\u00E9 Posada-Villa, MD; Kate M. Scott, PhD; Juan Carlos Stagnaro, MD, PhD; Dan J. Stein, FRCPC, PhD; Margreet ten Have, PhD; Yolanda Torres, MPH, Dra.HC; Maria Carmen Viana, MD, PhD; Daniel V. Vigo, MD, DrPH; Cristian Vladescu, MD, PhD; David R. Williams, MPH, PhD; Bogdan Wojtyniak, ScD; Peter Woodruff, MBBS, PhD, FRCPsych; Miguel Xavier, MD, PhD; Alan M. Zaslavsky, PhD.
Publisher Copyright:
© The Author(s) 2025.
PY - 2025/2
Y1 - 2025/2
N2 - Background: High unmet need for treatment of mental disorders exists throughout the world. An understanding of barriers to treatment is needed to develop effective programs to address this problem. Methods: Data on barriers were obtained from face-to-face interviews in 22 community surveys across 19 countries (n = 102,812 respondents aged ≥ 18 years, 57.7% female, median age [interquartile range]: 43 [31–57] years; 68.5% weighted average response rate) in the World Mental Health (WMH) surveys. We focus on the n = 5,136 respondents with 12-month DSM-IV anxiety, mood, or substance use disorders with perceived need for treatment. The n = 2,444 such respondents who did not receive treatment were asked about barriers to receiving treatment, whereas the n = 926 respondents who received treatment with a delay were asked about barriers leading to delays. Consistent with previous research, we distinguished five broad classes of barriers: low perceived disorder severity, two types of barriers in the domain of predisposing factors (beliefs/attitudes about treatment ineffectiveness and stigma) and two types in the domain of enabling factors (financial and nonfinancial). Baseline predictors of receiving treatment found in a prior report (i.e., comparing the n = 2,692 respondents who received treatment with the n = 2,444 who did not) were examined as predictors of barriers, while barriers were examined as mediators of associations between these predictors and treatment. Results: Most respondents reported multiple barriers. Barriers among respondents who did not receive treatment included low perceived severity (52.9%), perceived treatment ineffectiveness (44.8%), nonfinancial (40.2%) and financial (32.9%) barriers in the domain of enabling factors, and stigma (20.6%). Barriers causing delays in treatment had a similar rank-order but were reported by higher proportions of respondents (X21 = 3.8–199.8, p = 0.050− < 0.001). Barriers were predicted by low education, disorder type, age, employment status, and financial obstacles. Predictors varied as a function of barrier type. Conclusions: A wide range of barriers to treatment exist among people with mental disorders even after a need for treatment is acknowledged. Most such individuals have multiple barriers. These results have important implications for the design of programs to decrease unmet need for treatment of mental disorders.
AB - Background: High unmet need for treatment of mental disorders exists throughout the world. An understanding of barriers to treatment is needed to develop effective programs to address this problem. Methods: Data on barriers were obtained from face-to-face interviews in 22 community surveys across 19 countries (n = 102,812 respondents aged ≥ 18 years, 57.7% female, median age [interquartile range]: 43 [31–57] years; 68.5% weighted average response rate) in the World Mental Health (WMH) surveys. We focus on the n = 5,136 respondents with 12-month DSM-IV anxiety, mood, or substance use disorders with perceived need for treatment. The n = 2,444 such respondents who did not receive treatment were asked about barriers to receiving treatment, whereas the n = 926 respondents who received treatment with a delay were asked about barriers leading to delays. Consistent with previous research, we distinguished five broad classes of barriers: low perceived disorder severity, two types of barriers in the domain of predisposing factors (beliefs/attitudes about treatment ineffectiveness and stigma) and two types in the domain of enabling factors (financial and nonfinancial). Baseline predictors of receiving treatment found in a prior report (i.e., comparing the n = 2,692 respondents who received treatment with the n = 2,444 who did not) were examined as predictors of barriers, while barriers were examined as mediators of associations between these predictors and treatment. Results: Most respondents reported multiple barriers. Barriers among respondents who did not receive treatment included low perceived severity (52.9%), perceived treatment ineffectiveness (44.8%), nonfinancial (40.2%) and financial (32.9%) barriers in the domain of enabling factors, and stigma (20.6%). Barriers causing delays in treatment had a similar rank-order but were reported by higher proportions of respondents (X21 = 3.8–199.8, p = 0.050− < 0.001). Barriers were predicted by low education, disorder type, age, employment status, and financial obstacles. Predictors varied as a function of barrier type. Conclusions: A wide range of barriers to treatment exist among people with mental disorders even after a need for treatment is acknowledged. Most such individuals have multiple barriers. These results have important implications for the design of programs to decrease unmet need for treatment of mental disorders.
KW - Barriers to treatment
KW - Health services accessibility
KW - Mental disorder treatment
KW - Mental disorders
KW - Mental health services
KW - Treatment delays
KW - Treatment gap
KW - Use of health services
UR - http://www.scopus.com/inward/record.url?scp=85218274891&partnerID=8YFLogxK
U2 - 10.1186/s13033-024-00658-2
DO - 10.1186/s13033-024-00658-2
M3 - Article
AN - SCOPUS:85218274891
SN - 1752-4458
VL - 19
JO - International Journal of Mental Health Systems
JF - International Journal of Mental Health Systems
IS - 1
M1 - 6
ER -