0000000000159928
AUTHOR
Andrea Benedetti
Staging and storing data sprint-based research results: a communication design approach
Data sprints are multidisciplinary, time-limited, practice-oriented, and group activities that explore complex issues through data gathering, visualization, and analysis. Data sprints usually conclude with final presentations where participants showcase the research process they followed and the achieved results. Although this activity is now widespread in some research centers, there does not appear to be a data-sprint tailored dissemination format that can support the organization, archive, and online diffusion of results. Starting from the experience of a data sprint on Digital Methods, the paper describes the design process of a digital format which condenses and reinterprets good pract…
Probability of major depression diagnostic classification based on the SCID, CIDI and MINI diagnostic interviews controlling for Hospital Anxiety and Depression Scale – Depression subscale scores:An individual participant data meta-analysis of 73 primary studies
Objective Two previous individual participant data meta-analyses (IPDMAs) found that different diagnostic interviews classify different proportions of people as having major depression overall or by symptom levels. We compared the odds of major depression classification across diagnostic interviews among studies that administered the Depression subscale of the Hospital Anxiety and Depression Scale (HADS-D). Methods Data accrued for an IPDMA on HADS-D diagnostic accuracy were analysed. We fit binomial generalized linear mixed models to compare odds of major depression classification for the Structured Clinical Interview for DSM (SCID), Composite International Diagnostic Interview (CIDI), and…
Depression prevalence using the HADS-D compared to SCID major depression classification: An individual participant data meta-analysis.
Objectives Validated diagnostic interviews are required to classify depression status and estimate prevalence of disorder, but screening tools are often used instead. We used individual participant data meta-analysis to compare prevalence based on standard Hospital Anxiety and Depression Scale – depression subscale (HADS-D) cutoffs of ≥8 and ≥11 versus Structured Clinical Interview for DSM (SCID) major depression and determined if an alternative HADS-D cutoff could more accurately estimate prevalence. Methods We searched Medline, Medline In-Process & Other Non-Indexed Citations via Ovid, PsycINFO, and Web of Science (inception-July 11, 2016) for studies comparing HADS-D scores to SCID major…