Editorial Perspective: How spreading mental health information can be (un‐) helpful – a dynamic systems approach.

Saved in:
Bibliographic Details
Title: Editorial Perspective: How spreading mental health information can be (un‐) helpful – a dynamic systems approach.
Authors: Marcotulli, Daniele (AUTHOR), Foulkes, Lucy (AUTHOR), Stringaris, Argyris (AUTHOR)
Source: Journal of Child Psychology & Psychiatry. Mar2026, Vol. 67 Issue 3, p429-438. 10p.
Subjects: Predictive tests, Public health surveillance, Social media, Mental health, Computer software, Health impact assessment, Health policy, Autism, Systems theory, Help-seeking behavior, Diagnostic errors, Uncertainty, Students, Simulation methods in education, Communication, Attitudes of medical personnel, Medical needs assessment, Anxiety disorders, Psychoses, Asperger's syndrome, Health education, Public health, School health services, Weight gain
Abstract: Increasing awareness of mental health problems, including that of young people, is generally seen as positive, and many interventions to increase awareness are underway internationally. Yet, a principled evaluation of the benefits and harms of increasing awareness is still lacking. Here, we present a conceptual framework for the evaluation of information interventions that are aimed at increasing public awareness of mental health problems. We borrow concepts from dynamic systems, such as infection spread and related population growth, to ask how benefits, but also harms of information on mental health, may accrue over time. We argue that as information spreads, several cascades of events are set off that involve members of the general public but also clinicians and healthcare services. These cascades entail positive and negative feedback loops. We discuss not only how increased diagnoses can lead to positive outcomes (e.g. increasing diagnostic rates and appropriate treatments in those who would otherwise have remained undiagnosed) but also how increased awareness can lead to decreases in diagnostic accuracy, to service overload, and how they may expose people to unnecessary or harmful treatments. We argue that the need for a framework founded on modelling societal dynamics is needed to ensure that both the benefits and the downsides of mental health information are accurately gauged and to help the planning of better public health campaigns. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Child Psychology & Psychiatry is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
Description
Abstract:Increasing awareness of mental health problems, including that of young people, is generally seen as positive, and many interventions to increase awareness are underway internationally. Yet, a principled evaluation of the benefits and harms of increasing awareness is still lacking. Here, we present a conceptual framework for the evaluation of information interventions that are aimed at increasing public awareness of mental health problems. We borrow concepts from dynamic systems, such as infection spread and related population growth, to ask how benefits, but also harms of information on mental health, may accrue over time. We argue that as information spreads, several cascades of events are set off that involve members of the general public but also clinicians and healthcare services. These cascades entail positive and negative feedback loops. We discuss not only how increased diagnoses can lead to positive outcomes (e.g. increasing diagnostic rates and appropriate treatments in those who would otherwise have remained undiagnosed) but also how increased awareness can lead to decreases in diagnostic accuracy, to service overload, and how they may expose people to unnecessary or harmful treatments. We argue that the need for a framework founded on modelling societal dynamics is needed to ensure that both the benefits and the downsides of mental health information are accurately gauged and to help the planning of better public health campaigns. [ABSTRACT FROM AUTHOR]
ISSN:00219630
DOI:10.1111/jcpp.70055