Adaptation, personalization and capacity in mental health treatments: a balancing act?

What Should Personalised Mental Health Support Involve? Views of Young People with Lived Experience and Professionals from Eight Countries

Research demonstrates that young people value mental health support that is tailored to their needs and preferences, rather than a "one size fits all" offer, which is often not equitably accessible (National Children's Bureau, 2021). Understanding young people's lived experiences across different sociocultural contexts is important. The aim of this research was to conduct an international qualitative study on the views of young people with lived experience and professionals, on proposed aspects of personalised support for anxiety and/or depression. Participatory action focus groups were conducted with N = 120 young people with lived experience of anxiety and/or depression (14-24 years) and with N = 63 professionals in Brazil, India, Kenya, Pakistan, Portugal, South Africa, Turkey, and the United Kingdom. Data were analysed using the rigorous and accelerated data reduction (RADaR) technique. Overall, although some country-specific differences were found in terms of what aspects of support young people found to be most important, individual preferences were considered stronger, furthering the view that support should be personalised to the needs of the individual young person. Young people experiencing anxiety and/or depression should be able to choose for themselves which aspects of support they would prefer in their own care and support plans, with families and mental health professionals providing guidance where appropriate, rather than removing the young person from the decision-making process altogether. It should also be ensured that the aspects of personalised support can be understood by young people and professionals from different contexts, including marginalised and minoritised groups and communities.

Defining and operationalizing personalized psychological treatment - a systematic literature review

This systematic literature review aimed to propose a definition of personalized psychological treatment and to suggest how the definition can be operationalized. PsycINFO, Cochrane Library, MEDLINE and EMBASE were searched up to 11 December 2023 for studies in which a definition of personalized psychological treatment was included or a systematic operationalization of personalized psychological treatment was described. Based on a narrative synthesis of the collected definitions, summary categories were developed that informed the proposed definition. Operationalizations were described according to what aspect of treatment, how and when treatment was personalized. The extent to which the operationalizations deviated from the proposed definition was assessed. Thirty-four studies with definitions and 200 with operationalizations were included. The following definition was proposed: personalized psychological treatment aims to optimize treatment outcome for the individual patient by tailoring treatment to unique or specific needs, preferences or other characteristics and includes a systematic adaptation of treatment or a differentiation between treatment strategies. Based on the operationalizations, timing of personalization, specification of the systematic approach and treatment elements that could be personalized were added to the proposed definition. Evidence-based personalization of psychological treatments can be enhanced by clear operationalization based on a comprehensive definition of personalization.

Mental Health in Healthcare Workers Post-COVID-19: A Latin American Review and Insights into Personalized Management Strategies

Over the COVID-19 pandemic, the impact of enduring mental health on healthcare workers has become increasingly evident. This review focuses on post-pandemic mental health challenges faced by healthcare personnel in Latin America. This highlights the persistent burden on healthcare workers, especially women, which is exacerbated by economic disparities, inadequacies in the healthcare system, and ongoing occupational stressors. Our literature review, utilizing databases such as PubMed, Scopus, and Google Scholar, scrutinized the mental health status of healthcare professionals in the region after the pandemic's peak. The analysis indicated sustained levels of psychological distress, with frontline workers and women continuing to be affected disproportionately. These findings emphasize the urgent need for personalized interventions to effectively address the complex mental health challenges in this context. This review advocates strategic interventions, including tailored psychological support, innovative diagnostics, and technological solutions, integrated into patient-centered care models. Such approaches aim to enhance the mental resilience and overall well-being of healthcare professionals across Latin America in the post-COVID era.

Examining clinicians' perceptions and experiences working with diverse families in family-based treatment: Common adaptations and considerations for treatment engagement

OBJECTIVE

Family-Based Treatment (FBT) is the leading manualized treatment for adolescent eating disorders; however, there is limited research on the adaptation of FBT for diverse families (i.e., families belonging to identity groups subject to systemic barriers and prejudices). The purpose of this qualitative study was to address: (1) adaptations made to the FBT model (if any) by clinicians working with diverse youth and families; (2) the barriers/facilitators of maintaining adherence (fidelity) to the model for these families; and, (3) the barriers/facilitators to access and engagement in FBT for diverse families.

METHOD

Forty-one FBT clinicians were recruited globally using purposive and snowball sampling, and listservs from eating disorder networks. Clinicians participated in individual interviews or focus groups, discussing their experiences delivering and adapting FBT for diverse families. Qualitative data was transcribed verbatim and analyzed using directed content analysis.

RESULTS

Some participants reported making adaptations to every phase of the FBT model, while others did not, when working with diverse families. In Phase 1, participants cited adapting the family meal, length/number of sessions provided, and addressed systemic barriers. In Phase 2, participants adapted the length of the phase and rate/level of independence given back to the adolescent. In Phase 3, participants increased or decreased the number of sessions, or eliminated this phase to address barriers to engagement in FBT.

DISCUSSION

This is the first study to qualitatively examine clinicians' experiences of implementing FBT with diverse families. Results may inform future FBT planning, clinician training, clinical decision-making tools, and opportunities for modifications to the foundational model.

PUBLIC SIGNIFICANCE

This qualitative study examined clinicians' perceptions and experiences implementing FBT with diverse families, specifically what adaptations (if any) were made to the foundational model, and the barriers and facilitators to adhering to and engaging in the model. Results show that some participants reported making adaptations to every phase of FBT, while others did not, with diverse families. Findings may inform future treatment planning, clinician training, clinical decision-making tools, and potential modifications to FBT.

A systematic review of Culturally Adapted Cognitive Behavioral Therapy (CA-CBT) for anxiety disorders in Southeast Asia

BACKGROUND

Cognitive Behavioral Therapy (CBT) has been proven an effective treatment for anxiety disorders. However, CBT still dominantly uses concepts and constructs rooted in Western cultures, and most research focuses on Western populations. It is unsure how this translates to non-Western cultures like Southeast Asia.

AIMS

Our objective is to explore which types of cultural adaptations in CBT have been implemented for anxiety disorders in Southeast Asia and their effectiveness.

METHODS

We systematically searched PubMed, PsycINFO, Embase, CENTRAL, GARUDA, and Google Scholar for CA-CBT for anxiety disorders in local communities in Southeast Asian countries. Data were analyzed using a narrative approach distinguishing between peripheral and core component adaptations. PROSPERO database preregistration number was CRD42022336376.

RESULTS

Seven studies (one randomized controlled trial, three quasi-experimental studies, and three case reports) were selected. Two studies made cultural adaptations in multiple components. Two studies modified core treatment components by incorporating local values in the CBT restructuring process. Three studies conducted cultural adaptation on peripheral treatment components: adaptation to materials and semantics, cultural examples and themes, and session structure. Three studies did not provide detailed information. One RCT study showed better improvement for those who got CA-CBT than those in treatment as usual (TAU).

CONCLUSION

The findings suggest some components to consider when conducting cultural adaptation. We could not establish the degree of superiority of CA-CBT over non-CA-CBT nor identify components with the most influence due to the limited number of studies found. Employing standard documentation in reporting trials is also important to increase transparency.

Perceptions of community mental health services among culturally diverse adult Singaporeans with major depressive disorder: A descriptive qualitative study

Persons with major depressive disorder (PMDDs) often experience pernicious ramifications on the biopsychosocial aspects of their health. While community mental health services (CMHSs) in Singapore are increasingly leveraged to meet the escalating demand for mental healthcare, shortcomings such as a substantial treatment gap and the lack of holistic, culturally sensitive care have been highlighted. Of note, the perspectives of the service users, which have hardly been studied in the literature, are crucial to our understanding of their needs to continuously improve CMHSs. Accordingly, this qualitative descriptive study explored the perceptions and experiences of community-dwelling adults with major depressive disorder in their use of CMHSs in Singapore. Seventeen adults with major depressive disorder purposefully sampled from a CMHS provider were interviewed through a semi-structured guide between October and November 2021. Data analysis via Braun and Clarke's six-step thematic framework yielded five themes corresponding to three different phases: pre-CMHS encounter ((i) procrastination to seek help and (ii) factors influencing CMHS utilization); intra-CMHS encounter ((iii) incongruous perceptions of the impacts on biopsychosocial health and (iv) differing perceptions and experiences of culturally sensitive care); and post-CMHS encounter ((v) enhancing CMHSs for PMDDs based on end-users' experiences). Our findings underscore the need to improve the delivery of personalized mental healthcare services, use of settings- and culturally-specific anti-stigma strategies, and nationwide mental health literacy in symptom recognition and awareness of help-seeking resources.

ChatGPT is not ready yet for use in providing mental health assessment and interventions

Background

Psychiatry is a specialized field of medicine that focuses on the diagnosis, treatment, and prevention of mental health disorders. With advancements in technology and the rise of artificial intelligence (AI), there has been a growing interest in exploring the potential of AI language models systems, such as Chat Generative Pre-training Transformer (ChatGPT), to assist in the field of psychiatry.

Objective

Our study aimed to evaluates the effectiveness, reliability and safeness of ChatGPT in assisting patients with mental health problems, and to assess its potential as a collaborative tool for mental health professionals through a simulated interaction with three distinct imaginary patients.

Methods

Three imaginary patient scenarios (cases A, B, and C) were created, representing different mental health problems. All three patients present with, and seek to eliminate, the same chief complaint (i.e., difficulty falling asleep and waking up frequently during the night in the last 2°weeks). ChatGPT was engaged as a virtual psychiatric assistant to provide responses and treatment recommendations.

Results

In case A, the recommendations were relatively appropriate (albeit non-specific), and could potentially be beneficial for both users and clinicians. However, as complexity of clinical cases increased (cases B and C), the information and recommendations generated by ChatGPT became inappropriate, even dangerous; and the limitations of the program became more glaring. The main strengths of ChatGPT lie in its ability to provide quick responses to user queries and to simulate empathy. One notable limitation is ChatGPT inability to interact with users to collect further information relevant to the diagnosis and management of a patient's clinical condition. Another serious limitation is ChatGPT inability to use critical thinking and clinical judgment to drive patient's management.

Conclusion

As for July 2023, ChatGPT failed to give the simple medical advice given certain clinical scenarios. This supports that the quality of ChatGPT-generated content is still far from being a guide for users and professionals to provide accurate mental health information. It remains, therefore, premature to conclude on the usefulness and safety of ChatGPT in mental health practice.

The Influence of Comorbidity and Perceived Complexity on Outcomes of Referrals to Children and Young Person Mental Health Services (UK): A Mixed Methods Vignette Study

Children and young people (CYP) with long-term physical conditions (LTCs) are four times more likely to develop mental health disorders yet many cannot access Children and Young People's Mental Health Services (CYPMHS) or evidence-based interventions. This study aimed to understand the reasons for this; presence of an LTC neurodevelopmental disorder, or service requirements. 79 CYP mental health practitioners were randomly assigned to read vignettes depicting a hypothetical referral letter for a child with a mental health condition alone (n = 27), mental health condition and LTC (n = 25), or mental health condition and neurodevelopmental disorder (Autism Spectrum Disorder-ASD) (n = 27), answering questions about their likelihood of accepting the referral and proposed treatment plan. There were no significant differences between accessing CYPMHS or being offered first line evidence-based interventions in those with a LTC or ASD compared to those without. However, additional perceived complexity was frequently provided as a reason for rejecting referrals and not offering evidence-based intervention, with clinicians' predicted success of intervention significantly lower for these CYP. Clinicians were significantly more likely to suggest adapting the intervention in the LTC and the ASD groups to account for additional perceived complexity. The research suggests a need for additional services for CYP with LTCs and those with neurodevelopmental disorders, as well as training/awareness for clinicians.

Congruency of multimodal data-driven personalization with shared decision-making for StayFine: individualized app-based relapse prevention for anxiety and depression in young people

Tailoring interventions to the individual has been hypothesized to improve treatment efficacy. Personalization of target-specific underlying mechanisms might improve treatment effects as well as adherence. Data-driven personalization of treatment, however, is still in its infancy, especially concerning the integration of multiple sources of data-driven advice with shared decision-making. This study describes an innovative type of data-driven personalization in the context of StayFine, a guided app-based relapse prevention intervention for 13- to 21-year-olds in remission of anxiety or depressive disorders (n = 74). Participants receive six modules, of which three are chosen from five optional modules. Optional modules are Enhancing Positive Affect, Behavioral Activation, Exposure, Sleep, and Wellness. All participants receive Psycho-Education, Cognitive Restructuring, and a Relapse Prevention Plan. The personalization approach is based on four sources: (1) prior diagnoses (diagnostic interview), (2) transdiagnostic psychological factors (online self-report questionnaires), (3) individual symptom networks (ecological momentary assessment, based on a two-week diary with six time points per day), and subsequently, (4) patient preference based on shared decision-making with a trained expert by experience. This study details and evaluates this innovative type of personalization approach, comparing the congruency of advised modules between the data-driven sources (1-3) with one another and with the chosen modules during the shared decision-making process (4). The results show that sources of data-driven personalization provide complementary advice rather than a confirmatory one. The indications of the modules Exposure and Behavioral Activation were mostly based on the diagnostic interview, Sleep on the questionnaires, and Enhancing Positive Affect on the network model. Shared decision-making showed a preference for modules improving positive concepts rather than combating negative ones, as an addition to the data-driven advice. Future studies need to test whether treatment outcomes and dropout rates are improved through personalization.

Human Action Recognition in Smart Living Services and Applications: Context Awareness, Data Availability, Personalization, and Privacy

Smart living, an increasingly prominent concept, entails incorporating sophisticated technologies in homes and urban environments to elevate the quality of life for citizens. A critical success factor for smart living services and applications, from energy management to healthcare and transportation, is the efficacy of human action recognition (HAR). HAR, rooted in computer vision, seeks to identify human actions and activities using visual data and various sensor modalities. This paper extensively reviews the literature on HAR in smart living services and applications, amalgamating key contributions and challenges while providing insights into future research directions. The review delves into the essential aspects of smart living, the state of the art in HAR, and the potential societal implications of this technology. Moreover, the paper meticulously examines the primary application sectors in smart living that stand to gain from HAR, such as smart homes, smart healthcare, and smart cities. By underscoring the significance of the four dimensions of context awareness, data availability, personalization, and privacy in HAR, this paper offers a comprehensive resource for researchers and practitioners striving to advance smart living services and applications. The methodology for this literature review involved conducting targeted Scopus queries to ensure a comprehensive coverage of relevant publications in the field. Efforts have been made to thoroughly evaluate the existing literature, identify research gaps, and propose future research directions. The comparative advantages of this review lie in its comprehensive coverage of the dimensions essential for smart living services and applications, addressing the limitations of previous reviews and offering valuable insights for researchers and practitioners in the field.