Mental health disorders and the treatment gap: a neglected public health challenge

Mental health disorders constitute a major and growing public health challenge worldwide, yet they remain among the most neglected components of healthcare systems. Depression and anxiety alone affect hundreds of millions of people globally and are leading contributors to years lived with disability, particularly in low- and middle-income countries[1]. Despite the availability of effective interventions, a large group of individuals with mental health disorders do not receive timely or adequate treatment, resulting in a persistent treatment gap. This gap is driven by multiple interrelated factors, including shortages of trained mental health professionals, inadequate funding, stigma, and weak integration of mental health services into primary healthcare settings[1].

Recent global disruptions, particularly the COVID-19 pandemic, have increased the burden of mental health disorders and exposed deficiencies in mental healthcare delivery[1]. Widespread behavioral changes, fear of infection, social isolation, and economic uncertainty have significantly amplified psychological distress across populations, including healthcare workers and vulnerable groups. While the need for mental healthcare has increased substantially, health systems in many regions of the world remain inadequately equipped to respond. At the same time, emerging innovations such as task-shifting approaches, integrated care models, and digital mental health technologies have demonstrated potential to expand access and reduce pressure on overburdened healthcare systems[2].

Transitional-aged youth (TAY), generally between 12 and 29 years, represent a highly vulnerable population for developing or experiencing worsening mental health disorders[3]. Individuals in this group undergo substantial social, developmental, biological, and psychological changes, making early interventions crucial to reduce long-term disability^[3,4^]. Despite the availability of effective treatments, TAY frequently encounter fragmented and discontinuous care as they transition between child and adult mental health services. Many youths experience abrupt shifts in eligibility criteria, sometimes being deemed not sufficiently unwell for adult health services while aging out of child services, which leads to interruptions in treatment and reduced engagement with care^[3,5^]. Studies conducted in Canada indicate that only a fraction of affected youth (less than 20%) receive appropriate treatment, which highlights the critical clinical gap in this population^[3,4^].

Barriers to mental healthcare extend beyond systemic transitions. Socioeconomic constraints, stigma, and low mental health literacy significantly hinder help-seeking behaviors^[4,5^]. Emerging evidence suggests that emotional literacy and self-efficacy function as protective buffers against socioeconomic stressors, reducing the severity of anxiety and depressive symptoms in young individuals[6]. Families play a pivotal role in facilitating access, advocating for treatment, and supporting continuity of care. Parental concern often initiates referral to mental health services, and continued family involvement remains essential, particularly until the youth achieves financial independence^[3,7^]. Levels of engagement vary, with some families providing direct oversight, while others serve as a supportive “safety net”[7]. Supporting families alongside TAY not only improves engagement with mental health services but also alleviates caregiver strain, contributing to better outcomes for both youth and their caregivers^[3,7^].

Emerging innovations offer promising strategies to bridge the treatment gap. Tele-mental health services, integrated care models, and task-shifting approaches have demonstrated potential to increase access, especially in underserved areas^[4,5^]. Digital interventions can provide flexible and stigma-reducing platforms for care, while system-level reforms focusing on holistic support, proactive preparation, and collaborative care enhance continuity and reduce the barriers faced by TAY^[4,7^]. Incorporating family-centered approaches, leveraging technology, and improving integration between services are key strategies to ensure youth receive timely, effective, and continuous mental healthcare^[4,7^]. Collectively, these measures are essential to addressing the persistent treatment gap and improving long-term outcomes for such high-risk populations.

Beyond access and continuity, an important yet under-addressed contributor to the treatment gap is the mismatch between evidence-based recommendations and real-world clinical practice. Large-scale analyses demonstrate that even when individuals reach mental health services, care is frequently not delivered according to established guidelines[8]. Variability in provider training, time constraints, and limited system support result in suboptimal treatment intensity, inadequate follow-up, and early discontinuation of care[8]. Evidence indicates that guideline-concordant interventions are associated with significantly better symptom improvement and functional outcomes compared with usual care, underscoring missed opportunities within existing services[8]. Moreover, health systems often prioritize acute symptom management over long-term recovery, leading to relapse and repeated service use[9]. These deficiencies in care quality contribute to persistent disability despite service contact and highlight that closing the treatment gap requires not only expanding access but also strengthening the effectiveness and consistency of mental healthcare delivery^[8,9^].

Another critical dimension of the treatment gap relates to patient-level perceptions and help-seeking behavior. Evidence suggests that a lack of perceived need for care is one of the most common reasons individuals with mental health disorders do not seek treatment, even when services are available[9]. Additionally, concerns about confidentiality, fear of labeling, and negative prior experiences with healthcare services further reduce engagement[9]. These findings highlight that the treatment gap is not solely a supply-side problem but is also driven by limited mental health literacy and trust in health systems. Addressing these barriers requires population-level strategies that promote awareness, normalize help-seeking, and align services with patient expectations[9].

Closing the mental health treatment gap, therefore, demands coordinated system-level action informed by implementation science. Evidence from recent health system evaluations emphasizes that fragmented governance, lack of monitoring, and weak accountability mechanisms undermine the scalability of effective interventions[10]. Integrated service pathways, supported by clear referral structures and outcome monitoring, are associated with improved engagement and continuity of care[10]. Importantly, implementation success depends on adapting interventions to the local context, including workforce capacity, cultural norms, and resource availability[10]. Strengthening data systems to track unmet needs, treatment quality, and long-term outcomes can guide policy decisions and resource allocation^[9,10^]. Furthermore, aligning mental health policies with broader public health and social care frameworks enhances sustainability and equity[9]. Without deliberate investment in implementation, even well-designed interventions risk limited impact. Bridging the treatment gap thus requires sustained political commitment, system integration, and accountability to translate evidence into meaningful population-level mental health gains^[9,10^].

In closing, expanding beyond traditional care models, emerging technological and preventive strategies can play a pivotal role in reducing the enduring mental health treatment gap. Moreover, innovations such as artificial intelligence (AI)-driven tools and computational approaches offer potential to enhance early detection, personalize interventions, and expand access, particularly in settings constrained by workforce shortages[11]. Recent systematic evidence highlights the utility of speech-based computational models for symptom monitoring and diagnostic support in disorders such as schizophrenia, demonstrating promising accuracy and scalability[12]. In parallel, advances in affective computing and emotion recognition systems suggest that AI-enabled platforms may improve responsiveness and personalization within digital mental health interventions[13]. When integrated within ethical and clinically supervised frameworks, such technologies may meaningfully reduce diagnostic delays and improve continuity of care.

However, technological and preventive advances must be implemented thoughtfully, with strong ethical safeguards around data privacy, equity, and cultural relevance to avoid reinforcing disparities in care access and quality. Integrating mental health promotion, routine screening, and responsible digital tools into public health frameworks, supported by policy, workforce training, and community engagement, can help close both detection and treatment gaps, ultimately improving outcomes across diverse populations[14]. Addressing the mental health treatment gap, therefore, demands urgent, coordinated, and sustained global action.

No AI-based tools were used in the preparation of this manuscript, in accordance with the TITAN Guidelines 2025[15].

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Ethics approval was not required for this editorial.

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Author contributions

Conceptualization: S.U.I., I.U., and S.M.A.S. Literature review: I.U., S.M., and A.M.S. Writing – original draft: I.U., S.M.A.S., and M.H. Writing – review and editing: S.U.I., S.M., and A.M.S. Supervision: S.U.I.

Conflicts of interest disclosure

The authors have no conflicts of interest to declare.

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No data were used for this editorial.

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