Pathway to effective treatment for common mental and substance use disorders in the World Mental Health Surveys: Perceived need for treatment
- PMID: 40410765
- PMCID: PMC12100881
- DOI: 10.1186/s13033-025-00666-w
Pathway to effective treatment for common mental and substance use disorders in the World Mental Health Surveys: Perceived need for treatment
Abstract
Background: Perceived need for treatment is a first step along the pathway to effective mental health treatment. Perceived need encompasses a person's recognition that they have a problem and their belief that professional help is needed to manage the problem. These two components could have different predictors.
Methods: Respondents aged 18+ years with 12-month mental disorders from 25 representative household surveys in 21 countries in the World Mental Health Survey Initiative (n = 12,508). All surveys included questions about perceived need; 16 surveys (13 countries) included additional questions about respondents' main reason for perceived need-problem recognition or perceived inability to manage without professional help (n = 9814). Associations of three sets of predictors (disorder, socio-demographics, past treatment) with perceived need and its components were examined using Poisson regression models.
Results: Across the 16 surveys with additional questions, 42.4% of respondents with a 12-month mental disorder reported perceived need for treatment. In separate multivariable models for each predictor set: (1) Most disorder types (except alcohol use disorder, specific phobia), disorder severity, and number of disorders were associated with perceived need and both of its components; (2) Sociodemographic factors tended to differentially predict either problem recognition (females, 30-59 years, disabled/unemployed) or need for professional help (females, homemakers, disabled/unemployed, public insurance); (3) Past treatment factors (type of professional, psychotherapy, helpful or unhelpful treatment) were associated with perceived need and both components, except number of past professionals differentially predicted problem recognition. In a consolidated model: employment and insurance became non-significant; type and number of past professionals seen became more important; helpful past treatment predicted greater need for professional help while unhelpful treatment predicted lower problem recognition. Problem recognition was the more important component in determining perceived need for some groups (e.g., severe disorder, people who consulted non-mental health professionals).
Conclusions: Greater clinical need is a key determinant of perceived need for treatment. Findings suggest a need for strategies to address low perceived need (e.g., in males, older people, alcohol use disorders) and lower endorsement of professional treatment in some groups, and to improve patient's treatment experiences which are important enablers of future help-seeking.
Keywords: Health professionals; Mental disorders; Mental health services; Perceived helpfulness; Perceived need for treatment; Substance use disorders; Treatment history.
© 2025. The Author(s).
Conflict of interest statement
Declarations. Ethics approval and consent to participate: This study has been performed in accordance with the Declaration of Helsinki. At all survey sites, the local ethics or institutional review committee reviewed and approved the protocol to ensure protection of human subjects, in line with appropriate international and local guidelines. Details of the ethics committees for the WMH surveys can be viewed at this link: http://www.hcp.med.harvard.edu/wmh/ftpdir/WMH_Ethics_approval.pdf Consent for publication: Not applicable. Competing interests: Dr. Dan J. Stein reports personal fees from Discovery Vitality, Johnson & Johnson, Kanna, L’Oreal, Lundbeck, Orion, Sanofi, Servier, Takeda and Vistagen. In the past 3 years, Dr. Kessler was a consultant for Cambridge Health Alliance, Canandaigua VA Medical Center, Child Mind Institute, Holmusk, Massachusetts General Hospital, Partners Healthcare, Inc., RallyPoint Networks, Inc., Sage Therapeutics and University of North Carolina. He has stock options in Cerebral Inc., Mirah, PYM (Prepare Your Mind), Roga Sciences and Verisense Health. All other authors report no conflicts of interest related to this manuscript.
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