Common measures in mental health: a joint initiative by funders and journals

Development of a harmonized sociodemographic and clinical questionnaire for mental health research: A Delphi-method-based consensus recommendation

OBJECTIVE

Harmonized tools are essential for reliable data sharing and accurate identification of relevant factors in mental health research. The primary objective of this study was to create a harmonized questionnaire to collect demographic, clinical and behavioral data in diverse clinical trials in adult psychiatry.

METHODS

We conducted a literature review and examined 24 questionnaires used in previously published randomized controlled trials in psychiatry, identifying a total of 27 domains previously explored. Using a Delphi-method process, a task force team comprising experts in psychiatry, epidemiology and statistics selected 15 essential domains for inclusion in the final questionnaire.

RESULTS

The final selection resulted in a concise set of 22 questions. These questions cover factors such as age, sex, gender, ancestry, education, living arrangement, employment status, home location, relationship status, and history of medical and mental illness. Behavioral factors like physical activity, diet, smoking, alcohol and illicit drug use were also included, along with one question addressing family history of mental illness. Income was excluded due to high confounding and redundancy, while language was included as a measure of migration status.

CONCLUSION

The recommendation and adoption of this harmonized tool for the assessment of demographic, clinical and behavioral data in mental health research can enhance data consistency and enable comparability across clinical trials.

Family accommodation in obsessive-compulsive disorder: An updated systematic review and meta-analysis

Family accommodation might play a crucial role in obsessive-compulsive disorder (OCD). Previous systematic reviews on family accommodation in OCD have focused on specific populations or variables or are outdated. We conducted a preregistered systematic review and meta-analysis on family accommodation in adults, children, and adolescents with OCD (CRD42021264461). We searched PubMed, Scopus, and Web of Science using the keywords "family accommodation" and "obsessive-compulsive disorder. One hundred-eight studies involving 8928 individuals with OCD were included. Our results indicate that levels of family accommodation in OCD are moderate, that there is a significant positive correlation between family accommodation and OCD severity (r = 0.42), that baseline family accommodation does not predict pre- to post-treatment change in OCD severity (g = -0.03), and that family accommodation decreases as a result of both individual and family-focused cognitive behavioral therapy for OCD (g = 2.00 and g = 1.17, respectively). Our findings highlight the relevance of family accommodation in OCD and may help guide assessment and treatment.

Standardizing Fidelity to Evidence-Based Practice in the Early Psychosis Intervention Network

OBJECTIVE

This study investigated variations in the measurement of fidelity to coordinated specialty care (CSC) within the Early Psychosis Intervention Network (EPINET), a learning health system that consists of 101 CSC programs within eight hubs. The study investigated the degree to which five fidelity scales could be mapped onto a standard scale.

METHODS

The investigators identified six fidelity scales in use by EPINET participants; examined their item content, scoring, and data sources; and mapped five scales onto the First Episode Psychosis Services Fidelity Scale (FEPS-FS), which is the most widely used scale.

RESULTS

Mapping five fidelity scales onto the FEPS-FS showed that the percentage of FEPS-FS components successfully mapped ranged from 42% to 81%.

CONCLUSIONS

Mapping five scales onto one that uses dichotomous scoring identified the degree of variation in measures and reduced the amount and quality of usable fidelity data. Identifying variations in fidelity measurement is a core function of a learning health system.

[A Continuous Literature Review for Mental Health Surveillance during the Covid-19 Pandemic in Germany - Method, Selected Results and Lessons Learned]

In order to provide an up-to-date overview on changes in population's mental health during the COVID-19 pandemic, a continuous literature review was conducted. Building on a rapid review, systematic and hand searches were conducted monthly until December 31, 2022. Studies were assessed for observation periods, risk of bias and outcomes. Trends in depressive symptoms in adults were summarized by vote counting. 102 publications were included from 62 studies in the adult population. Studies declined over the course of the pandemic. Overall, 37% of the studies and 56% of the publications can assess trends in the population reliably. Among evidence for changes in depressive symptoms deteriorations predominated at last. The heterogeneity of results published by the end of 2022 limits evidence syntheses. Evidence of deterioration requires further surveillance. A continuous review can indicate evidence gaps at an early stage.

Data-driven, cross-disciplinary collaboration: lessons learned at the largest academic health center in Latin America during the COVID-19 pandemic

Introduction

The COVID-19 pandemic has prompted global research efforts to reduce infection impact, highlighting the potential of cross-disciplinary collaboration to enhance research quality and efficiency.

Methods

At the FMUSP-HC academic health system, we implemented innovative flow management routines for collecting, organizing and analyzing demographic data, COVID-related data and biological materials from over 4,500 patients with confirmed SARS-CoV-2 infection hospitalized from 2020 to 2022. This strategy was mainly planned in three areas: organizing a database with data from the hospitalizations; setting-up a multidisciplinary taskforce to conduct follow-up assessments after discharge; and organizing a biobank. Additionally, a COVID-19 curated collection was created within the institutional digital library of academic papers to map the research output.

Results

Over the course of the experience, the possible benefits and challenges of this type of research support approach were identified and discussed, leading to a set of recommended strategies to enhance collaboration within the research institution. Demographic and clinical data from COVID-19 hospitalizations were compiled in a database including adults and a minority of children and adolescents with laboratory confirmed COVID-19, covering 2020-2022, with approximately 350 fields per patient. To date, this database has been used in 16 published studies. Additionally, we assessed 700 adults 6 to 11 months after hospitalization through comprehensive, multidisciplinary in-person evaluations; this database, comprising around 2000 fields per subject, was used in 15 publications. Furthermore, thousands of blood samples collected during the acute phase and follow-up assessments remain stored for future investigations. To date, more than 3,700 aliquots have been used in ongoing research investigating various aspects of COVID-19. Lastly, the mapping of the overall research output revealed that between 2020 and 2022 our academic system produced 1,394 scientific articles on COVID-19.

Discussion

Research is a crucial component of an effective epidemic response, and the preparation process should include a well-defined plan for organizing and sharing resources. The initiatives described in the present paper were successful in our aim to foster large-scale research in our institution. Although a single model may not be appropriate for all contexts, cross-disciplinary collaboration and open data sharing should make health research systems more efficient to generate the best evidence.

Cohort profile: The Scottish SHARE Mental Health (SHARE-MH) cohort - linkable survey, genetic and routinely collected data for mental health research

PURPOSE

The SHARE Mental Health (SHARE-MH) cohort was established to address the paucity of clinical and genetic data available for mental health research. The cohort brings together detailed mental health questionnaire responses, routinely collected electronic health data and genetic data to provide researchers with an unprecedented linkable dataset. This combination of data sources allows researchers to track mental health longitudinally, across multiple settings. It will be of interest to researchers investigating the genetic and environmental determinants of mental health, the experiences of those interacting with healthcare services, and the overlap between self-reported and clinically derived mental health outcomes.

PARTICIPANTS

The cohort consists of individuals sampled from the Scottish Health Research Register (SHARE). To register for SHARE, individuals had to be over the age of 16 years and living in Scotland. Cohort participants were recruited by email and invited to take part in an online mental health survey. When signing up for SHARE, participants also provided written consent to the use of their electronic health records and genetic data-derived from spare blood samples-for research purposes.

FINDINGS TO DATE

From 5 February 2021 to 27 November 2021, 9829 individuals completed a survey of various mental health topics, capturing information on symptoms, diagnoses, impact and treatment. Survey responses have been made linkable to electronic health records and genetic data using a single patient identifier. Linked data have been used to describe the cohort in terms of their demographics, self-reported mental health, inpatient and outpatient hospitalisations and dispensed prescriptions.

FUTURE PLANS

The cohort will be improved through linkage to a broader variety of routinely collected data and to increasing amounts of genetic data obtained through blood sample diversion. We see the SHARE-MH cohort being used to drive forward novel areas of mental health research and to contribute to global efforts in psychiatric genetics.

The association between adolescents' self-esteem and perceived mental well-being in Sweden in four years of follow-up

BACKGROUND

The situation concerning adolescent mental health is a global public health concern, and the concept includes the ability to cope with problems of everyday life. A person's approach and attitude towards themselves, i.e., their self-esteem, affects mental health. The study aimed to appraise and deepen the scientific understanding of adolescents' self-reported self-esteem at age 12-13 from a resource perspective and test its ability to predict subsequent perceived mental well-being at age 17.

METHODS

Data from the Longitudinal Research on Development in Adolescence (LoRDIA) prospective follow-up study of adolescents aged 12-13, and 17 (n = 654) were analysed using ANCOVA. The outcome variable, perceived mental well-being (MWB), covers the aspects of mental well-being inspired by the "Mental Health Continuum," representing positive mental health. Covariates were self-esteem (SE) and reported initially perceived MWB at age 12-13. Other independent explanatory variables were gender, the family's economy, and the mother's educational level.

RESULTS

Self-esteem appeared relatively stable from 12-13 to 17 years (M = 20.7 SD = 5.8 vs. M = 20.5 SD = 1.7). There was a significant but inverted U - shaped association between SE at age 12-13 and perceived MWB at age 17 [F (1, 646) = 19.02, β-0.057; CI -0.08--0.03, Eta = 0.03, p = .000]. Intermediate but not strong SE predicted significantly good MWB. When conducting the ANCOVA for boys and girls separately, only the mother's educational level was significantly positively associated with perceived MWB of girls.

CONCLUSIONS

Good self-esteem in early adolescence increases the likelihood of an unchanged favourable development of self-esteem and the probability of good perceived mental well-being. SE explained 18 per cent of the variation of MWB, and even more among girls. However, normal SE rather than high SE at 12 and 13 years is predictive of later mental well-being. Girls reported low self-esteem more often. Therefore, supporting self-esteem early in life can promote mental well-being in adolescence.

Prevalence and variability of depressive symptoms in Europe: update using representative data from the second and third waves of the European Health Interview Survey (EHIS-2 and EHIS-3)

BACKGROUND

Assessing the prevalence of clinically relevant depressive symptoms and their possible variation by country and over time could be a valuable resource to inform the development of public health policies and preventive resources to reduce mental health burden. We aimed to assess cross-national differences in the point prevalence of clinically relevant depressive symptoms in Europe in 2018-20, and to evaluate point prevalence differences between countries and over time between 2013-15 and 2018-20.

METHODS

In this population-based study, data from participants in the second and third waves of the European Health Interview Survey (EHIS-2 from 2013 to 2015 and EHIS-3 from 2018 to 2020) from 30 European countries were used (n=542 580). From the total sample, 283 692 participants belonging to EHIS-3 were included in the study (52·4% women and 47·5% men). The non-response in EHIS-3 ranged by country, from 12% to 78%. Point prevalence of clinically relevant depressive symptoms was evaluated using a cutoff score of 10 or more for the 8-item version of the Patient Health Questionnaire. Crude prevalence ratios and adjusted prevalence ratios (aPRs) were obtained to assess differences in the prevalence between countries and over time within countries.

FINDINGS

The point prevalence of clinically relevant depressive symptoms in Europe in 2018-20 was 6·54% (95% CI 6·34-6·73), ranging across countries from 1·85% (1·53-2·17) in Greece to 10·72% (10·04-11·40) in Sweden. Compared with the other European countries, those with the lowest aPRs were Greece, Serbia, and Cyprus and those with the highest aPRs were Belgium, Slovenia, and Croatia. A small but significant increase in the prevalence between EHIS-2 and EHIS-3 was observed (aPR 1·11 [1·07-1·14]). A wide variability over time in the point prevalence within countries was observed, ranging from an aPR of 0·63 (0·54-0·74) in Hungary to 1·88 (1·53-2·31) in Slovenia.

INTERPRETATION

This study, based on large and representative datasets and a valid and reliable screening tool for the assessment of depression, indicates that the point prevalence of clinically relevant depressive symptoms in Europe from 2013 to 2020 remains relatively stable, with wide variability between countries. These findings could be considered a baseline for monitoring the prevalence of clinically relevant depressive symptoms in Europe, and could inform policy for the development of preventive strategies for depression both at a country and European level.

FUNDING

Center for Biomedical Research in Epidemiology and Public Health Network and AGAUR.

Human-Centric Lighting Research and Policy in the Melanopsin Age

Beyond visual function, specialized light-sensitive retinal circuits involving the photopigment melanopsin drive critical aspects of human physiology and behavior, including sleep-wake rhythms, hormone production, mood, and cognition. Fundamental discoveries of visual neurobiology dating back to the 1990s have given rise to strong interest from the lighting industry in optimizing lighting to benefit health. Consequently, evidence-based recommendations, regulations, and policies need to translate current knowledge of neurobiology into practice. Here, reviewing recent advances in understanding of NIF circuits in humans leads to proposed strategies to optimize electric lighting. Highlighted knowledge gaps must be addressed urgently, as well as the challenge of developing personalized, adaptive NIF lighting interventions accounting for complex individual differences in physiology, behavior, and environment. Finally, lighting equity issues appear in the context of marginalized groups, who have traditionally been underserved in research on both fundamental visual processes and applied lighting. Biologically optimal light is a fundamental environmental right.

A Collaborative Effort to Establish Common Metrics for Use in Mental Health

This Viewpoint provides a summary of a new project launched by a coalition of research funders and journals to improve the measures used in mental health research.

Measuring the active elements of cognitive-behavioral therapies

Understanding how and for whom cognitive-behavioral therapies work is central to the development and improvement of mental health interventions. Suboptimal quantification of the active elements of cognitive-behavioral therapies has hampered progress in elucidating mechanisms of change. To advance process research on cognitive-behavioral therapies, we describe a theoretical measurement framework that focuses on the delivery, receipt, and application of the active elements of these interventions. We then provide recommendations for measuring the active elements of cognitive-behavioral therapies aligned with this framework. Finally, to support measurement harmonization and improve study comparability, we propose the development of a publicly available repository of assessment tools: the Active Elements of Cognitive-Behavioral Therapies Measurement Kit.

Adolescent Perception of Mental Health: It's Not Only about Oneself, It's about Others Too

Adolescents are at an increased risk of mental health problems due to the natural processes of development and maturation. Given that their mental health is mainly assessed by adults and not by the adolescents themselves, the purpose of this study is to reveal adolescents' perceptions of mental health. Semi-structured, in-depth interviews were conducted, and an inductive qualitative approach with thematic analysis was used. The qualitative study consisted of 19 adolescents aged 11-17 years. Five themes were identified: (1) What does mental health mean to you? (subthemes: realm of emotions, customary behavior, and relationships with others); (2) needs (subthemes: communication and support, self-expression and freedom of decision-making, and a safe and personal environment); (3) risk factors (subthemes: un-healthy relationships and social media dangers); (4) red flags (subthemes: self-exclusion from social life and self-destructive behavior); and (5) role of mental health professionals (subthemes: attentiveness to and proper pace for adolescent and acceptance of adolescent's life in its entirety). This study revealed that adolescents view their mental health not only from their own emotional and behavioral perspectives but also through the prism of relationships with other people.