ReviewSocial psychiatry and psychiatric epidemiology2016
'Big data' in mental health research: current status and emerging possibilities.
Review in Social psychiatry and psychiatric epidemiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 4 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
28 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Constipation is associated with an increased risk of depression: A systematic review and meta-analysis of observational studies.Translational psychiatry · 2026Pooled it
- Borrowing strength from clinical trials in analysing longitudinal data from a treated cohort: investigating the effectiveness of acetylcholinesterase inhibitors in the management of dementia.International journal of epidemiology · 2023Pooled it
- Epidemiology of depressive disorders in people living with hypertension in Africa: a systematic review and meta-analysis.BMJ open · 2020Pooled it
- Case-finding for common mental disorders in primary care using routinely collected data: a systematic review.Social psychiatry and psychiatric epidemiology · 2019Pooled it
- Big data and psychiatry: advances, constraints and future directions.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2026Article
- Medical statistics education in the big data era: focusing on critical thinking and ethical competence.Frontiers in public health · 2026Article
- Exploring the Views of Young People, Including Those With a History of Self-Harm, on the Use of Their Routinely Generated Data for Mental Health Research: Web-Based Cross-Sectional Survey Study.JMIR mental health · 2025Article
- General and age-specific fertility rates in non-affective psychosis: population-based analysis of Scottish women.Social psychiatry and psychiatric epidemiology · 2023Article
- Impact of pet dog or cat exposure during childhood on mental illness during adolescence: a cohort study.BMC pediatrics · 2022Article
- Article
- [Big Data in health promotion and prevention].Pravention und Gesundheitsforderung · 2022Article
- Rising Mental Health Incidence Among Adolescents in Westchester, NY.Community mental health journal · 2022Article
- iPSYcare: the development of a linked electronic medical records database to study and optimize psychiatric care in Antwerp.BMC research notes · 2021Article
- Use of Data to Understand the Social Determinants of Depression in Two Middle-Income Countries: the 3-D Commission.Journal of urban health : bulletin of the New York Academy of Medicine · 2021Review
- Schizophrenia Related Hospitalizations - a Big Data Analysis of a National Hospitalization Database.The Psychiatric quarterly · 2021Article
- Attitudes towards Risk Prediction in a Help Seeking Population of Early Detection Centers for Mental Disorders-A Qualitative Approach.International journal of environmental research and public health · 2021Article
- Creating a Multisite Perinatal Psychiatry Databank: Purpose and Development.International journal of environmental research and public health · 2020Article
- Community-care unit model of residential mental health rehabilitation services in Queensland, Australia: predicting outcomes of consumers 1-year post discharge.Epidemiology and psychiatric sciences · 2020Article
- Case identification of mental health and related problems in children and young people using the New Zealand Integrated Data Infrastructure.BMC medical informatics and decision making · 2020Article
- Digital Innovations for Global Mental Health: Opportunities for Data Science, Task Sharing, and Early Intervention.Current treatment options in psychiatry · 2019Article
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purpose'Big data' are accumulating in a multitude of domains and offer novel opportunities for research. The role of these resources in mental health investigations remains relatively unexplored, although a number of datasets are in use and supporting a range of projects. We sought to review big data resources and their use in mental health research to characterise applications to date and consider directions for innovation in future.
methodsA narrative review.
resultsClear disparities were evident in geographic regions covered and in the disorders and interventions receiving most attention. DISCUSSION: We discuss the strengths and weaknesses of the use of different types of data and the challenges of big data in general. Current research output from big data is still predominantly determined by the information and resources available and there is a need to reverse the situation so that big data platforms are more driven by the needs of clinical services and service users.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.