SynthesisSocial psychiatry and psychiatric epidemiology2018
The study of effect moderation in youth suicide-prevention studies.
Synthesis in Social psychiatry and psychiatric epidemiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
5 citing papers in PubMed, 14 citations in OpenAlex.
- Heterogeneous trajectories of suicidal ideation among homeless youth: predictors and suicide-related outcomes.Development and psychopathology · 2023Trial
- Long-term Effects of the Family Check-Up on Suicidality in Childhood and Adolescence: Integrative Data Analysis of Three Randomized Trials.Prevention science : the official journal of the Society for Prevention Research · 2023Article
- Implementation strategies and outcomes of school-based programs for adolescent suicide prevention: A scoping review protocol.PloS one · 2023Article
- Family network satisfaction moderates treatment effects among homeless youth experiencing suicidal ideation.Behaviour research and therapy · 2020Article
- Explainable statistical learning in public health for policy development: the case of real-world suicide data.BMC medical research methodology · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 1 institution in 1 country.
Funding
Abstract
purposeSuicide is now the second leading cause of death among persons between the ages of adolescents and emerging adults and rates have increased despite more funding and broader implementation of youth suicide-prevention programs. A systematic review was conducted focusing on identifying youth suicide-prevention studies within the United States. This paper reports on the methods utilized for understanding possible moderators of suicide-prevention program outcomes.
methodsWe searched six databases from 1990 through August 2017 to identify studies of suicide-preventive interventions among those under age 26 years. Two independent team members screened search results and sequentially extracted information related to statistical methods of moderation analyses.
results69 articles were included in the systematic review of which only 17 (24.6%) explored treatment effect heterogeneity using moderation analysis. The most commonly used analytic tool was regression with an interaction term. The moderators studied included demographic characteristics such as gender and ethnicity as well as individual characteristics such as traumatic stress exposure and multiple prior suicide attempts.
conclusionsWith a greater emphasis from the federal government and funding agencies on precision prevention, understanding which prevention programs work for specific subgroups is essential. Only a small percentage of the reviewed articles assessed moderation effects. This is a substantial research gap driven by sample size or other limitations which have impeded the identification of intervention effect heterogeneity.
Indexed as
Identifiers
What OpenQuestion holds
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.