Javascript must be enabled to continue!
Towards an ontology of mental health: Protocol for developing an ontology to structure and integrate evidence regarding anxiety, depression and psychosis
View through CrossRef
Background Research about anxiety, depression and psychosis and their treatments is often reported using inconsistent language, and different aspects of the overall research may be conducted in separate silos. This leads to challenges in evidence synthesis and slows down the development of more effective interventions to prevent and treat these conditions. To address these challenges, the Global Alliance for Living Evidence on aNxiety, depressiOn and pSychosis (GALENOS) Project is conducting a series of living systematic reviews about anxiety, depression and psychosis. An ontology (a classification and specification framework) for the domain of mental health is being created to organise and synthesise evidence within these reviews and present them in a structured online data repository. Aim This study aims to develop an ontology of mental health that includes entities with clear labels and definitions to describe and synthesise evidence about mental health, focusing on anxiety, depression and psychosis. Methods We will develop and apply the GALENOS Mental Health Ontology through eight steps: (1) defining the ontology’s scope; (2) identifying, labelling and defining the ontology’s entities for the GALENOS living systematic reviews; (3) structuring the ontology’s upper level (4) refining the upper level’s clarity and scope via a stakeholder consultation; (5) formally specifying the relationships between entities in the Mental Health Ontology; (6) making the ontology machine-readable and available online; (7) integrating the ontology into the data repository; and (8) exploring the ontology-structured repository’s usability. Conclusion and discussion The Mental Health Ontology supports the formal representation of complex upper-level entities within mental health and their relationships. It will enable more explicit and precise communication and evidence synthesis about anxiety, depression and psychosis across the GALENOS Project’s living systematic reviews. By being computer readable, the ontology can also be harnessed within algorithms that support automated categorising, linking, retrieving and synthesising evidence.
Title: Towards an ontology of mental health: Protocol for developing an ontology to structure and integrate evidence regarding anxiety, depression and psychosis
Description:
Background Research about anxiety, depression and psychosis and their treatments is often reported using inconsistent language, and different aspects of the overall research may be conducted in separate silos.
This leads to challenges in evidence synthesis and slows down the development of more effective interventions to prevent and treat these conditions.
To address these challenges, the Global Alliance for Living Evidence on aNxiety, depressiOn and pSychosis (GALENOS) Project is conducting a series of living systematic reviews about anxiety, depression and psychosis.
An ontology (a classification and specification framework) for the domain of mental health is being created to organise and synthesise evidence within these reviews and present them in a structured online data repository.
Aim This study aims to develop an ontology of mental health that includes entities with clear labels and definitions to describe and synthesise evidence about mental health, focusing on anxiety, depression and psychosis.
Methods We will develop and apply the GALENOS Mental Health Ontology through eight steps: (1) defining the ontology’s scope; (2) identifying, labelling and defining the ontology’s entities for the GALENOS living systematic reviews; (3) structuring the ontology’s upper level (4) refining the upper level’s clarity and scope via a stakeholder consultation; (5) formally specifying the relationships between entities in the Mental Health Ontology; (6) making the ontology machine-readable and available online; (7) integrating the ontology into the data repository; and (8) exploring the ontology-structured repository’s usability.
Conclusion and discussion The Mental Health Ontology supports the formal representation of complex upper-level entities within mental health and their relationships.
It will enable more explicit and precise communication and evidence synthesis about anxiety, depression and psychosis across the GALENOS Project’s living systematic reviews.
By being computer readable, the ontology can also be harnessed within algorithms that support automated categorising, linking, retrieving and synthesising evidence.
Related Results
Digital Mental Health Landscaping in Low- and Middle-Income Countries
Digital Mental Health Landscaping in Low- and Middle-Income Countries
Introduction
The aim of this project was to map the landscape of who is doing what and where in digital mental health, and to pr...
Organisatie van geestelijke gezondheidszorg voor mensen met een ernstige en persisterende mentale aandoening
Organisatie van geestelijke gezondheidszorg voor mensen met een ernstige en persisterende mentale aandoening
1 INTRODUCTION AND RESEARCH QUESTIONS 5 -- 2 GENERAL BACKGROUND: DEFINITIONS AND SCOPE OF THE STUDY 7 -- 2.1 CHRONIC AND COMPLEX MENTAL DISORDERS: DEFINITIONS AND SCOPE OF THE -- S...
Towards an ontology of mental health: Protocol for developing an ontology to structure and integrate evidence regarding anxiety, depression and psychosis
Towards an ontology of mental health: Protocol for developing an ontology to structure and integrate evidence regarding anxiety, depression and psychosis
Background Research about anxiety, depression and psychosis and their treatments is often reported using inconsistent language, and different aspects of the overall research may be...
Correlation between postpartum depression and the number of births
Correlation between postpartum depression and the number of births
IntroductionPostpartum depression is a disorder that usually occurs six weeks after birth and can last for up to a year. If postpartum depression is not diagnosed and treated, ther...
Feasibility of psychosis risk assessment for adolescents diagnosed with autism
Feasibility of psychosis risk assessment for adolescents diagnosed with autism
Autism and psychosis share overlapping clinical features and can occur comorbidly. Given growing recognition that early identification of psychosis risk symptoms may lead to better...
Mental health among outpatient reproductive health care providers during the US COVID-19 epidemic
Mental health among outpatient reproductive health care providers during the US COVID-19 epidemic
Abstract
Introduction
Both inpatient and outpatient providers may be at increased risk of stress, anxiety and depression from their roles as health ...
Prevalence, Determinants and Disparities of Depression and Anxiety among Working Women in Bangladesh: Insights from BDHS 2022
Prevalence, Determinants and Disparities of Depression and Anxiety among Working Women in Bangladesh: Insights from BDHS 2022
Abstract
Background
Depression and anxiety constitute significant public health concerns for working women worldwide. This study aimed to estimate the prevalence o...

