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Challenges and Opportunities in Global Mental Health: a Research-to-Practice Perspective
Open accessAbstract
Purpose of review Globally, the majority of those who need mental health care worldwide lack access to high-quality mental health services. Stigma, human resource shortages, fragmented service delivery models, and lack of research capacity for implementation and policy change contribute to the current mental health treatment gap. In this review, we describe how health systems in low- and middle-income countries (LMICs) are addressing the mental health gap and further identify challenges and priority areas for future research.Recent findings Common mental disorders are responsible for the largest proportion of the global burden of disease; yet, there is sound evidence that these disorders, as well as severe mental disorders, can be successfully treated using evidence-based interventions delivered by trained lay health workers in low-resource community or primary care settings. Stigma is a barrier to service uptake. Prevention, though necessary to address the mental health gap, has not solidified as a research or programmatic focus. Research-to-practice implementation studies are required to inform policies and scale-up services. Four priority areas are identified for focused attention to diminish the mental health treatment gap and to improve access to high-quality mental health services globally: diminishing pervasive stigma, building mental health system treatment and research capacity, implementing prevention programs to decrease the incidence of mental disorders, and establishing sustainable scale up of public health systems to improve access to mental health treatment using evidence-based interventions.
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“it became apparent in our framework refinement process that, particularly in mental health, stigma (e.g. self-stigma, family/community stigma, provider stigma, organizational or institutional-level stigma) is a force that can exert powerful influences on perceptions of mental health issues and treatments across all social actors and processes—including those in the intervention domain [39–42].”
From Barriers and facilitators to implementation of evidence-based task-sharing mental health interventions in low- and middle-income countries: a systematic review using implementation science frameworks (2022) · cites this paper as [42]
Experimental — accuracy not yet measuredIn the citing paper
“existing models of mental health care will not adequately expand to meet the demand”
From The Opportunities and Risks of Large Language Models in Mental Health (2024) · cites this paper as [4]
In the citing paper
“Further, these studies seldom address sustainability by evaluating the mental health research-to-practice gap or leveraging human resources not dependent on research funding.4”
From Technology and implementation science to forge the future of evidence-based psychotherapies: The PRIDE scale-up study (2021) · cites this paper as [4]
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“This has led to a widely recognized mental health treatment gap, whereby more individuals are diagnosed with mental health problems than those who receive treatment [14, 15].”
From Explaining adults’ mental health help-seeking through the lens of the theory of planned behavior: A scoping review (2022) · cites this paper as [15]
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Mental health and HIV/AIDS: the need for an integrated response
Remien, R. H., Stirratt, M. J., Nguyen, N., Robbins, R. N., Pala, A. N., & Mellins, C. A. (2019) · AIDS · doi:10.1097/qad.0000000000002227 · Cited by 727
The Prevalence of Depression, Anxiety and Stress and Their Associated Factors in College Students.
Ramón-Arbués, E., Gea-Caballero, V., Granada-López, J. M., Juárez-Vela, R., Pellicer-García, B., & Antón-Solanas, I. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17197001 · Cited by 637
“Yet, mental health problems are the first cause of disability and a major public health issue worldwide due to disease progression, difficulties in therapeutic management and increasing prevalence [2,3].”
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“Eighth, awareness is one of the key determinants of mental health among individuals and populations [59].”
Background
Metadata
- Authors
- Wainberg, M. L., Scorza, P., Shultz, J. M., Helpman, L., Mootz, J. J., Johnson, K. A., Neria, Y., Bradford, J.-M. E., Oquendo, M. A., & Arbuckle, M. R.
- Affiliations
- Columbia University Irving Medical Center (US)
- University of Miami (US)
- Corresponding author
- Wainberg, Milton L.
- ORCID
- Venue
- Current Psychiatry Reports
- Published
- 2017-04-19
- Volume
- 19
- Issue
- 5
- Pages
- 28-28
- ISSN
- 1523-3812 (ISSN-L)
- 1535-1645
- PMC
- PMC5553319
- OpenAlex
- W2606586703
- Cited by
- 875
- References
- 105
- Citations by year
- 2026: 117 · 2025: 179 · 2024: 148 · 2023: 138 · 2022: 111 · 2021: 71 · 2020: 73 · 2019: 24 · 2018: 11 · 2017: 1
- FWCI
- 4.69
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Current Psychiatry Reports (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of Mental Health (T32MH096724)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Mental Health Treatment and Access
- Social Sciences › Psychology › Clinical Psychology › Psychiatric care and mental health services
- Health Sciences › Health Professions › General Health Professions › Health Policy Implementation Science
- Keywords
- global mental health, mental health treatment gap, access to mental health care, mental health stigma, common mental disorders, severe mental illness, lay health workers, community mental health services, primary care, mental health prevention, implementation research, research capacity building, low- and middle-income countries, mental health policy
- MeSH terms
- Mental Disorders, Health Personnel, Humans, Mental Health, Mental Health Services, Public Health, Global Health
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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