ArticlePrevention science : the official journal of the Society for Prevention Research2026
Commentary for the Special Issue on Innovations and Strategies for Addressing the COVID-19 Pandemic: A Focus on Measurement and Methodological Challenges.
Article in Prevention science : the official journal of the Society for Prevention Research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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Who cites it
1 citing paper in PubMed.
- Introduction to the Special Issue: Innovations and Strategies for Addressing COVID-19 Pandemic Related Challenges in Prevention Science Research in Applied Settings.Prevention science : the official journal of the Society for Prevention Research · 2026Article
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This commentary explores challenges and innovations in prevention science that arose during the COVID-19 pandemic, with a focus on measurement issues and the contextual influences on data collection and intervention delivery. The pandemic necessitated a rapid shift to remote data collection and virtual interventions, many of which proved effective and scalable, as demonstrated by studies in this special issue. Innovations such as remote observational assessments improved reliability, reduced costs, and increased accessibility. However, the pandemic also revealed how contextual factors influence measurement properties for key constructs, with examples from this issue showing shifts in scale dimensionality and item functioning over time. These findings underscore the importance of considering context when designing and interpreting quantitative measures. I argue that by embracing heterogeneity in exposures and outcomes, prevention researchers can improve the precision and relevance of their work.
Indexed as
Identifiers
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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.