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Record W4414747603 · doi:10.37762/jgmds.12-4.790

Establishing a System for Cognitive Therapy Training, Research, and Practice in Pakistan: Implementation-More Art Than Science

2025· article· en· W4414747603 on OpenAlexaff
Muhammad Irfan, Farooq Naeem

Bibliographic record

VenueJournal of Gandhara Medical and Dental Science · 2025
Typearticle
Languageen
FieldPsychology
TopicMental Health Treatment and Access
Canadian institutionsCentre for Addiction and Mental Health
FundersUniversidad del Atlántico
KeywordsMental healthPsychological interventionPublic healthPopulationInternational healthHealth careDiversity (politics)Health policyHealth education

Abstract

fetched live from OpenAlex

Building a sustainable mental health system in low and middle-income countries (LMICs) has been a long-term concern.1 There is an increasing international recognition for the need to build capacity to strengthen mental health systems in LMICs. However, the primary focus of global mental health research has traditionally been at a public health level, with an emphasis on delivering therapy by non-specialist therapists after a short period of training. 2 Although the population in these countries is mainly based in rural areas, most of the studies have been conducted in rural areas. However, ironically, the health services in most LMICs are located in large urban centers, and people have to travel a long way to these centers to seek the mental health care they need.3 Also, there is a limited provision of psychotherapeutic interventions in many LMICs due to lack of resources; inadequate training; different explanatory health models; and the religious and political landscape.4 LMICs differ widely in income, scientific and social development, and their relationship with the West.5 This diversity requires individual solutions rather than a broad-brush approach to improve access to mental health care. One shoe does not fit all. Health care in Pakistan is provided by a mix of public and private sectors, with additional support from alternative health practitioners and traditional faith healers.6 Pakistan is at this moment recovering from a near economic default situation. The country’s health budget allocation to mental health has drastically declined over time, leaving the present situation even more dire than when it stood at just 0.4%.7 Since there are only a few hundred psychiatrists, now estimated at over 600, and around 500 practicing psychologists for a population of around 250 million,8 we have trained more than 300 CBT therapists to cope with this dire lack of resources, who provide low-cost psychotherapy in Pakistan (typically 10-15 USD per session). Pakistan is the first low-income nation in the global south to produce locally trained CBT therapists. Pakistan Association of Cognitive Therapists (PACT) was launched 15 years ago. FN trained nine CBT master trainers in Pakistan between 2006 and 2009. In 2008, six of the master trainers, along with FN, founded the PACT and then the Pakistan Institute of Cognitive Therapies (PICT) in 2013. In 2019, PACT launched the first national CBT service in any low- and middle-income country, called Dil ki baat, to provide low-cost online therapy as well as in-person services. This service was launched on a non-profit, no-cost basis.9 The implementation process was divided into three phases; the First Phase (2009) focused on awareness, training, and accreditation. Public information campaigns and the publication of therapy materials made CBT popular in Pakistan. The Second Phase (2014) aimed at developing local therapists. A one-year CBT diploma was launched in Lahore and Karachi, and later as a hybrid model during the COVID pandemic.10 The third Phase (2019) focused on developing clinical services. Initial centres were developed in collaboration with local hospitals, and an online CBT support service was launched during the COVID pandemic. The organization decided not to rely on foreign funding or local philanthropy. Initial funding was generated through conducting CBT training in Pakistan and other countries in the region. Additionally, funds were raised by selling hard copies of self-help manuals, which are otherwise available for free on the website.11 In this process, several barriers were identified, including a lack of awareness, funding, government interest, trained professionals, and access to therapy materials.12 Facilitators towards said barriers included increased mental health awareness; engagement of all stakeholders including psychiatrists, psychologists etc.; interventions aimed at engaging both patients and caregivers; the use of the internet and social media; and the development of a workforce not dependent on government structures.13 It is possible to disseminate and implement CBT on a national scale in a low- and middle-income country by working closely with all stakeholders, gathering a team of dedicated professionals, and implementing careful long-term planning. Such an ambitious undertaking demands not only strategic foresight but also unwavering commitment, creativity, and innovation in order to ensure sustainability. From the outset, careful consideration of an appropriate business model is essential, as sustainability cannot be achieved without a structured financial framework. However, culturally adapting CBT provided us with the common language that helped in buidling a stronger therapeutic relationship, without merely concentrating only on financial framework, because our broader aim was to create a workforce of therapists in Pakistan, drawing from the large pool of psychology graduates produced by national universities each year.14 Since Pakistan is recovering from a financial crisis and is currently not in a position to further support mental health services as physical health takes precedence, the only possible way to revive an evidence-based therapy is to provide it at low cost by producing local therapists. However, this requires setting up systems to support the training and supervision of therapists, with the hope that in the future, with economic improvement, these therapists can provide CBT at subsidized rates. Even in most high-income countries, free CBT services are rarely available. Also, the people of Pakistan are accustomed to a healthcare model that blends public and private services. In conclusion, our approach can be considered as field research; we learned as we progressed and we progressed as we learned, and the journey continues.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.074
metaresearch head score (Gemma)0.045
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.074
Threshold uncertainty score0.391

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0740.045
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0080.010
Scholarly communication0.0090.006
Open science0.0060.017
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0080.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.110
GPT teacher head0.572
Teacher spread0.461 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Published2025
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