Leveraging Technology to Bridge the Psycho Social Care Gap in Mental Health Care: A Case Series

Abstract

India faces a substantial treatment gap in mental health care, estimated between 70% and 92% across major disorders.¹ This gap stems from limited mental health resources, workforce shortages, and pervasive stigma, particularly in rural and underserved regions.² The pandemic further widened this divide, heightening psychological distress and disrupting already strained service delivery systems.³

A critical but less-examined dimension of this divide is the psychosocial care gap, the mismatch between mental health needs and the availability of psychosocial interventions.⁴ Psychosocial care, which integrates psychological therapies, family support, and community-based approaches, is vital for recovery and social functioning.⁵ However, access remains highly unequal, with stigma, low awareness, and inadequate integration into primary care limiting its reach.⁶ Addressing this gap requires scalable, context-sensitive, and sustainable solutions that can strengthen the continuum of mental health support.

Technological innovations, particularly telepsychiatry and collaborative video consultations (CVCs), have emerged as promising models to bridge this divide.⁷ Evidence suggests that digitally enabled capacity building initiatives enhance the competence of frontline health workers, extend specialist supervision, and facilitate continuity of psychosocial support.⁸ Such technology-supported interventions align with India’s efforts to integrate mental health into primary care under the National Mental Health Program.⁹

In response to these challenges, the National Institute of Mental Health and Neurosciences (NIMHANS) collaborated with a Corporate Social Responsibility (CSR) funded capacity building program named “A Pan India Digitally Driven Capacity Building Program to strengthen Primary Mental Healthcare.” The program addressed frontline workers’ training needs while integrating evidence-based practices to boost mental health literacy, improve crisis response, and reduce stigma. Through telemedicine, it reached regions like Karnataka, training over 10,000 professionals, including medical and community health officers (CHOs).

The program employed a robust training methodology tailored to various cadres of healthcare workers. Modules in English and Kannada were delivered online, with each 120-minute session ensuring engagement and understanding. To address digital literacy gaps, a hybrid approach was used with a WhatsApp group for communication and support. Post-training, case discussions, and CVCs ensured continued guidance and service quality. Informed consent was obtained from all participants before data collection. The study was approved by the Institutional Ethics Committee (IEC) (Approval No. NIMHANS/43rd IEC (BEH.SC.DIV) 2023, dated December 8, 2023) and registered with the Clinical Trial Registry of India (Registration No. CTRI/2024/02/062906). Detailed specifics, procedures, and modules of the training program are explained elsewhere.¹⁰

This article examines how technology-enabled collaborative models can effectively bridge the psychosocial care gap in India’s primary mental healthcare system. Drawing on case examples from Karnataka, this article highlights the feasibility, benefits, and policy implications of CVC-based digital supervision to enhance access, quality, and equity in psychosocial care.

Case Series

This case series illustrates the effectiveness of collaborative, technology-enabled psychosocial interventions delivered by CHOs across diverse mental health conditions. Each case demonstrates how structured tele-assistance and CVC mechanisms facilitated continuity of care, family engagement, and community reintegration. A detailed summary of psychosocial gaps, interventions, and outcomes is presented in Table 1.

Table 1.

Addressing Psychosocial Care Gaps Through Collaborative Care Interventions.

Case No.	Diagnosis	Description	Identified the Psycho Social Care Gap	Collaborative Care Intervention by Tele-assistant and CHOs	Outcome
1	F20.9 (Schizophrenia, unspecified)	Mr. G is a 40-year-old unmarried male from a lower socioeconomic background, living with his elderly mother in a remote rural area, approximately four to five kilometers from the nearest health center. He has been experiencing symptoms of severe mental illness, including hallucinations, delusions, social withdrawal, poor personal hygiene, aggressive behavior, and wandering tendencies, which have been untreated for over 17 years.	Accessibility of services: The patient and family live in a remote location, far from the primary health center, with limited transportation and poor service access, creating a significant barrier to timely diagnosis and treatment.	Identification: MERIT screening tool administered. Assessment: CVC arranged. More than eight CVCs have been done, and the CHO has been visiting the patient’s home monthly for the past 11 months. Medication: The CHO visits the patient’s home to give the injection (due to the patient’s non-adherence to oral medication) and plans to continue the depot for another six months, as informed by the tertiary hospital team.	Identification of severe mental illness; facilitated access to specialized care.
			Awareness: Limited knowledge about mental health conditions within the community, including among primary caregivers, delayed identification, and intervention.	Psychoeducation about illness, treatment, and care: Engaged the family through psychoeducation sessions.	Improved understanding of mental illness and caregiving strategies.
			Availability: The lack of mental health resources—including trained professionals and specialized services—in rural areas further impedes care.	Coordination with the neuropsychiatric institute team and the tertiary hospital psychiatry department for inpatient care and rehabilitation services.	Admission to hospital for inpatient care; ongoing rehabilitation support.
			Affordability: As a member of a lower socioeconomic group, financial constraints limit his ability to seek consistent and adequate mental health care.	Resource mobilization: Sponsorship by Mr. L, complimentary bed, and concessional rehabilitation services from the tertiary hospital. Specialized care Planning: Coordination with the tertiary hospital’s program to enroll the patient for long-term free treatment and rehabilitation. Periodic follow-up visits by the tertiary hospital’s team to the patient’s home to monitor progress and provide support.	Funded treatment reduced the family’s financial burden and reduced the patient’s reliance on family for personal care. Free long-term treatment and rehabilitation reduced the economic strain on the family.
			Social Support: The absence of a strong family or community support system exacerbates his condition, as his elderly mother is unable to provide adequate care due to her own health.	Family Support Enhancement: Addressed familial concerns, caregiver burden, encouraged social support, and shared caregiving for the mother.	Enhanced support network; perceived reduced caregiver burden. The patient has been on medication and maintaining well for approximately eight months. Positive symptoms have significantly reduced, and negative symptoms are gradually improving.
			Continuity of care: Poor adherence to treatment, stemming from inadequate family supervision and logistical challenges, highlights a gap in sustained mental health management.	Collaborative efforts by CHO, the tertiary hospital team, and the village community for long-term monitoring and Rehabilitation of the patient, which provided integration into structured community rehabilitation. Continuous follow-up: Use of tele-assistance tools to enable constant monitoring by CHOs and specialists.	Improved adherence to treatment; stable environment for recovery. By addressing core gaps through collaborative, community-focused care, the patient has shown early signs of recovery and reintegration into a supportive environment.
			Stigma and isolation: Fear and avoidance by neighbors, driven by his suspicious behavior, further isolate him and reinforce barriers to integration and community-based support.	The CHO educated the community head about the illness and was involved in the treatment process, who further sensitized neighbors about mental health to reduce stigma and foster a supportive environment.	Reduced stigma; supportive community environment.
2	Alcohol dependence with psychosocial distress	The patient is a 28-year-old male with education up to the 10th standard, residing in a rural area with low socioeconomic status, and working as a painter. He presented with a history of regular alcohol consumption from the age of 16, which led to cessation of work and withdrawal symptoms when not drinking. Following a romantic relationship failure, he reported sadness, sleep disturbance, loss of appetite, and suicidal thoughts. His alcohol consumption escalated from a single bottle of beer to daily excessive intake, eventually leading to social withdrawal, spending time at bars, and sleeping at bus stops.	Poor access to mental health services: Limited access to specialized mental health services in the rural setting delayed diagnosis and intervention.	Identification and assessment: CHO used MERIT screening and initiated a CVC with a tertiary care center.	The patient got help with his addiction and gradually stopped consuming alcohol.
			Awareness and knowledge: The patient and his community lacked awareness about the harmful effects of alcohol and the connection between his mental health struggles and alcohol dependence.	Psychoeducation: The tertiary team educated the patient on alcohol’s negative impact on health and family.	The patient was motivated for change and understood the harmful effects of alcohol use.
			Substance dependence: Progressive alcohol use led to withdrawal symptoms and functional impairment.	Motivational interviewing: The CHO, with support from the neuropsychiatric institute team, conducted approximately six brief motivational intervention sessions and provided psychoeducation. Conducted sessions to enhance his readiness to change, focusing on the benefits of sobriety and setting achievable goals. Medication management: Prescribed medications (by the medical officer) to manage withdrawal symptoms and reduce cravings, with regular monitoring by the CHO. Regular monitoring: CHO ensured follow-ups via the digital platform and home visits to monitor progress and adherence to the recovery plan.	The patient stopped consuming alcohol and no longer experienced withdrawal symptoms. He regained functional independence, returned to work as a painter, and began contributing to his household. With improved physical and mental health, he rebuilt his relationships and developed healthier coping mechanisms, successfully reintegrating into his community and daily life.
			Financial constraints: The patient’s low socioeconomic status limited his ability to seek professional help. Loss of income due to job loss led to an inability to contribute to the household.	Psychoeducation on financial stress: Addressed the emotional impact of financial constraints through counseling, emphasizing the importance of gradual progress and resilience.	Through psychoeducation and counseling, the patient developed a better understanding of managing financial stress and learned to approach his challenges with resilience and a focus on gradual improvement. With motivation and support, he resumed work as a painter, regaining a steady income and contributing to his household. This progress alleviated financial strain, reduced emotional distress, and improved his overall quality of life, fostering a sense of independence and stability.
			Social influence and peer pressure: Lack of positive social support and peer influence contributed to the initiation and escalation of alcohol use.	Psychoeducation on social influence: Educated the patient about the impact of peer pressure on his alcohol use and the importance of making independent, healthy choices. Skill development in refusal and assertiveness: Taught the patient strategies to resist peer pressure, including assertive communication and setting boundaries. Alternative engagement: Facilitated participation in productive activities, hobbies, or vocational training to reduce idle time and limit exposure to negative influences.	Applying refusal strategies and engaging in positive activities, he has maintained abstinence from alcohol for the past seven months. The support from family, community, and recovery groups reinforced his motivation, helping him build a stable, healthier lifestyle free from negative social influences.
3	F32.1 (moderate depression) + Z63.0 (family discord)	A 42-year-old female, who studied up to 2nd Pre-University Course (PUC) and works as a beautician, lives with her husband (from her second marriage) and her son (from her first marriage) in a rural area of middle socioeconomic status. The patient presented with complaints of persistent sadness, loss of interest, hopelessness, fatigue, agitation, restlessness, and sleeplessness over the past six months. She reported that, after her second marriage, everything was fine with her husband; however, her mother-in-law’s constant criticism made her feel sad. Additionally, the patient expressed concern about her son’s future, as her second husband does not treat him as his son and tends to avoid him, which she fears could negatively impact her son’s emotional well-being.	Family conflict and emotional strain: The patient is experiencing emotional distress due to ongoing criticism from her mother-in-law, which adds to her feelings of sadness, agitation, and restlessness. There is a strained family dynamic between her second husband and her son.	Family sessions: to enhance and improve support, addressing expressed emotion.	Family conflicts have reduced significantly. Improved adherence to treatment plan. The patient has been consistently visiting the sub-center for follow-up.
			Awareness and knowledge: The patient and her family lacked awareness about the illness. The family was critical and was hostile toward the patient.	Psychoeducation: Education on mental health conditions, illness, treatment, and management, CVC for specialist input and treatment planning.	Reduced depressive symptoms. The patient has been taking treatment for six months and has been improving for almost four months; nearly 60% symptoms have been reduced.
			Functionality: The patient had poor functioning in performing self-care, daily activities of living.	Functional enhancement: The patient was educated and empowered; the family and caregiver were involved to encourage functionality and self-care.	The patient began performing self-care and household chores.
			Accessibility of services: The patient and family were in a remote location, which made medication access difficult, affecting adherence and ongoing care.	Continued follow-up: The patient was continuously followed up by the CHO, and home visits were done to ensure continuity of care.	The patient is maintaining well, adhering to their medication, and has started engaging in social activities.

CVC: Collaborative video consultation; CHO: Community health officer.

Case 1: Schizophrenia with Long-term Untreated Illness

Mr. G, a 40-year-old unmarried male from a lower socioeconomic background, resided with his elderly mother in a remote rural village nearly five kilometers from the nearest health center. He had a 17-year history of untreated psychotic symptoms, including auditory hallucinations, delusional beliefs, social withdrawal, poor self-care, and occasional aggression. Before identification by the CHO, he had never received a formal psychiatric evaluation.

Mental Health Screening and Coun-selling Tool (MERIT) screening facilitated early detection of severe mental illness. Subsequently, more than eight CVCs were held with a neuropsychiatric institute over 11 months. Given poor adherence to oral medication, the care team initiated depot antipsychotic therapy administered monthly by the CHO during home visits. The intervention also included family psychoeducation, linkage to subsidized rehabilitation services, and mobilization of local resources. With support from a tertiary hospital program, the patient received free inpatient care followed by community-based rehabilitation.

After approximately eight months of treatment, positive psychotic symptoms markedly reduced, while self-care and social interaction gradually improved. The family reported reduced caregiving burden and improved understanding of illness. Community awareness sessions conducted by the CHO and village leaders contributed to reduced stigma and enhanced social inclusion.

Case 2: Alcohol Dependence Syndrome with Psychosocial Distress

The second case involved a 28-year-old male painter from a rural, low-income background with a 10-year history of escalating alcohol use beginning in adolescence. Following a romantic relationship failure, he developed depressive symptoms, insomnia, and suicidal ideation. He had no prior exposure to mental health services and initially sought help for physical withdrawal symptoms.

The CHO conducted MERIT screening and arranged tele-consultations with a tertiary care psychiatrist. A combination of motivational interviewing, psychoeducation, and withdrawal management was implemented, alongside medication prescribed by the primary medical officer. The CHO conducted six brief counseling sessions over two months and weekly follow-ups through tele-assistance. Interventions addressed emotional distress, financial strain, and social reintegration.

After seven months, the patient achieved sustained abstinence, resumed work, and regained stable family relationships. He reported improved self-esteem and coping, and family members observed increased participation in household responsibilities.

Case 3: Moderate Depressive Episode with Family Discord

Ms. S, a 42-year-old beautician from a semi-rural area, presented with six months of persistent sadness, anhedonia, restlessness, and sleep disturbances. She lived with her second husband and adolescent son from her previous marriage. Family dynamics were strained due to her mother-in-law’s persistent criticism and her husband’s emotional distance from her son, contributing to her psychological distress.

Following CHO screening and a CVC session, she was diagnosed with moderate depression with family discord. Interventions included pharmacotherapy, individual counseling, and family psychoeducation sessions focusing on communication and expressed emotion. The CHO maintained fortnightly follow-ups via home visits and tele-consultations.

After four months, the patient reported approximately a 60% reduction in depressive symptoms, improved self-care, and increased family harmony. By six months, she maintained regular follow-up and resumed work at her salon, reporting greater social engagement and stability.

Across all cases, the collaborative care model integrating telepsychiatric guidance, CHO-led follow-ups, and community-based interventions addressed key psychosocial barriers to care. These cases demonstrate how structured coordination between primary and tertiary care can promote early identification, reduce stigma, enhance treatment adherence, and enable holistic recovery in low-resource settings.

Discussion

This case series highlights how technology-enabled collaborative care can effectively bridge psychosocial care gaps in low-resource contexts by linking community health workers with mental health specialists through tele-assistance and CVCs. Rather than simply demonstrating feasibility, these cases underscore how digitally supported, task-shared interventions can address accessibility, adherence, and stigma, as well as affordability, utilization, and functional outcomes, simultaneously critical dimensions of India’s persistent treatment gap.

A key contribution of this series is to illustrate how trained CHOs, when supported by real-time specialist input, can deliver contextually appropriate psychosocial care. Across conditions as diverse as schizophrenia, alcohol dependence, and depression, telemedicine functioned not merely as a conduit for expert advice but as a mechanism to strengthen continuity of care, mobilize local resources, and enhance family engagement.¹¹ These interventions demonstrate the holistic integration of clinical, family, and community support, addressing multidimensional psychosocial needs and fostering sustainable recovery. This integration of clinical, social, and community dimensions represents a scalable model for decentralized mental health delivery.

Our findings complement and extend existing evidence on tele-mental health in India. While national programs such as Tele-MANAS (Tele Mental Health assistance and networking across states)and e-Sanjeevani have demonstrated feasibility at scale,¹² the present cases offer micro-level insights into how such platforms can be operationalized within primary care through CHO-led implementation. Comparatively, similar models in other low- and middle-income countries, such as the Friendship Bench initiative in Zimbabwe,¹³ Mental Health Gap Action Programme (mhGAP)-based tele-consultations in Nigeria,¹⁴ and the SmartCare e-mental health network in Sri Lanka,¹⁵ have achieved parallel success in integrating community-level task-sharing with digital supervision. Collectively, these examples highlight how culturally responsive digital infrastructure, combined with workforce capacity building and task-shifting, can sustainably extend mental health care to underserved populations.

From a policy perspective, this case series reinforces the importance of embedding digital mentorship and structured supervision into India’s primary mental health system. CHOs represent a pivotal resource for last-mile delivery; their empowerment through telemedicine platforms can operationalize the goals of the National Mental Health Policy,¹⁶ by improving access, continuity, and community engagement. Moreover, integrating psychosocial care into ongoing digital initiatives can ensure that telemedicine serves not just diagnostic or pharmacological needs but the broader psychosocial and rehabilitative spectrum of care.¹⁷ Embedding digital training and ongoing mentorship strengthens the capacity of frontline health workers, enabling them to deliver contextually appropriate interventions and maintain care quality across diverse settings.

This collaborative model emphasized training community health workers to act as the first line of contact for mental health cases, providing continuous support from specialists (Figure 1). The approach also highlights the scalability and sustainability of telemedicine-supported, community-based care, offering a replicable blueprint for other low-resource regions. In summary, beyond reaffirming the utility of telemedicine, these cases provide evidence that digitally networked, community-based mental health care can simultaneously bridge structural and psychosocial barriers. The lessons from this series support a multi-dimensional, technology-enabled, and scalable collaborative model that aligns with both national priorities and global strategies for equitable mental health service delivery.

Figure 1.

CBC: Collaborative video consultations, CHS: Community health officer.

Limitations and Future Directions

While the results are promising, several limitations must be acknowledged. The study was confined to a specific geographical region (Karnataka) and may not fully represent the broader diversity of mental health challenges across India. While the case series shows promising results, broader studies are needed to generalize the findings. Additionally, challenges such as digital literacy and internet access, particularly in rural and low-income areas, may limit the widespread applicability of these interventions.¹⁸

Future research should explore scaling these interventions across regions, assess long-term outcomes, and evaluate integration into national health systems. Studying cost-effectiveness could also reveal their potential as a sustainable solution to the psychosocial care gap.

Conclusion

This case series illustrates that leveraging technology, particularly telemedicine and CVC, can significantly bridge the psycho social care gap in mental health, particularly in underserved and rural areas. By improving accessibility, reducing financial burdens, and fostering community involvement, these interventions provide a comprehensive, scalable model for mental health care. As mental health challenges continue to rise globally, especially post-pandemic, integrating technology into mental health care delivery will be crucial for ensuring equitable access to quality psycho social support.

Supplemental Material

Supplemental material for this article is available online.

Footnotes

Acknowledgements

Same as the “Introduction ” article of this issue (Indian J Psychol Med. 2026;48(1 suppl)).

Declaration of Conflicting Interests

The authors declared the following potential conflicts of interest with respect to the research, authorship, and/or publication of this article: Author Channaveerachari Naveen Kumar is the Principal Investigator of this project and supplemental issue. The author did not take part in the peer review or decision-making process for this submission and has no further conflicts to declare.

Declaration Regarding the Use of Generative AI

The authors used ChatGPT to paraphrase and formalize the text. After using this tool/service, the authors reviewed the translated and transcribed content and edited it as needed, and took full responsibility for the content of the publication.

During the preparation of this work, the authors used ChatGPT to paraphrase and formalize the text. After using this tool/service, the authors reviewed the translated and transcribed content and edited it as needed, and took full responsibility for the content of the publication.

Ethical Approval

The study was approved by the IEC (Approval No. NIMHANS/ 43rd IEC [BEH.SC.DIV] 2023, dated December 8, 2023) and registered with the Clinical Trial Registry of India (Registration No. CTRI/2024/02/062906).

Funding

The authors disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: The study’s data were derived from a project, “A Pan India Digitally Driven Capacity Building Program to strengthen Primary Mental Healthcare,” funded by the CSR initiative of a multinational company.

Informed Consent

Informed consent was sought from all participants, including the primary healthcare workers and patients.

References

Gautham

, Gururaj

, Varghese

, . NMHS Collaborators Group. The National Mental Health Survey of India (2016): Prevalence, socio-demographic correlates and treatment gap of mental morbidity. Int J Soc Psychiatry, 2020; 66(4): 361–372. DOI: 10.1177/0020764020907941.

Patel

, Maj

, Flisher

, . Zonal WPA and member society representatives. Reducing the treatment gap for mental disorders: A WPA survey. World Psychiatry, 2010; 9(3): 169–176.

World Health Organization (WHO). Mental health action plan 2013-2020. Geneva: WHO, 2013.

Saraceno

, Chisholm

, Funk

, . The world health organization’s mental health atlas 2005. Psychol Med, 2007; 37(7): 1017–1023.

Pathare

, Brazinova

and Levav

Care gap: A comprehensive measure to quantify unmet needs in mental health. Epidemiol Psychiatr Sci, 2018; 27(5): 463–467. DOI: 10.1017/S2045796018000186.

Kazdin

and Blase

. Rebooting psychotherapy research and practice to reduce the burden of mental illness. Perspect Psychol Sci, 2011; 6(1): 21–37.

Corrigan

and Watson

. Understanding the impact of stigma on people with mental illness. World Psychiatry, 2002; 1(1): 16–20.

Naskar

, Victor

, Das

, . Telepsychiatry in India–Where do we stand? A comparative review of global and Indian telepsychiatry programs. Indian J Psychol Med, 2017; 39(3): 223–242. DOI: 10.4103/0253-7176.207329.

Kulkarni

, Shyam

RPS

, Bagewadi

, . A study of collaborative telepsychiatric consultations for a rehabilitation center managed by a primary healthcare center. Indian J Med Res, 2020; 152(4): 417–422. DOI: 10.4103/ijmr.IJMR_676_18.

10.

Shah

, Sabhahit

, Patley

, . A Pan-India digitally driven capacity building program to strengthen primary mental healthcare: Summary of its implementation and performance evaluation. Indian J Psychol Med, 2025. DOI:10.1177/02537176251358469.

11.

Paul

, Patley

, Hegde

, . Provision of mental health care by the community health officers (CHOs) through collaborative video consultations: A descriptive analysis. Indian J Psychol Med, 2025. DOI: 10.1177/02537176251371784.

12.

Suhas

, Satish Kumar

, . E-Sanjeevani: A pathbreaking telemedicine initiative from India. J Psychiatry Spectrum, 2022; 1(2): 111–116. DOI: 10.4103/jopsys.jopsys_8_21.

13.

Chibanda

, Bowers

, Verhey

, . The friendship bench programme: A cluster randomized controlled trial of a brief psychological intervention for common mental disorders delivered by lay health workers in Zimbabwe. Int J Ment Health Syst, 2015; 9: 21. DOI: 10.1186/s13033-015-0013-y.

14.

Adeleke

, Adekunle

, Oduniyi

, . Awareness and involvement of Nigerian family physicians in WHO’s Mental Health Gap Action Programme: A qualitative study. Discov Ment Health, 2025; 5(1): 87. DOI: 10.1007/s44192-025-00221-6.

15.

de Silva

and Hanwella

Mental health in Sri Lanka. Lancet (London, England). 2010; 376(9735): 88–89. DOI: 10.1016/S0140-6736(10)61071-9.

16.

Gupta

and Sagar

National Mental Health Policy, India (2014): Where have we reached?

Indian J Psychol Med, 2022; 44(5): 510–515. DOI: 10.1177/02537176211048335.

17.

Naslund

, Aschbrenner

, Araya

, . Digital technology for treating and preventing mental disorders in low-income and middle-income countries: A narrative review of the literature. Lancet Psychiatry, 2017; 4(6): 486–500. DOI: 10.1016/S2215-0366(17)30096-2.

18.

Eaton

, McCay

, Semrau

, . Scale up of services for mental health in low-income and middle-income countries. Lancet, 2011; 378(9802): 1592–1603. DOI: 10.1016/S0140-6736(11)60752-2.

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