Evidence map›Paper›PMID 37744685›Full record

ArticleFrontiers in digital health2023

Conducting a child injury prevention RCT in the wake of COVID-19: lessons learned for virtual human subjects research.

Sophia Prokos, Amy Damashek, Barbara Morrongiello, Emilie Arbour, Bethelhem Belachew, Farzana Zafreen

Abstract read
In one paragraph

Article in Frontiers in digital health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Sophia ProkosDepartment of Psychology, Western Michigan University, Kalamazoo, MI, United States.
Amy DamashekDepartment of Psychology, Western Michigan University, Kalamazoo, MI, United States.
Barbara MorrongielloDepartment of Psychology, University of Guelph, Guelph, ON, Canada.
Emilie ArbourDepartment of Psychology, University of Guelph, Guelph, ON, Canada.
Bethelhem BelachewDepartment of Psychology, Western Michigan University, Kalamazoo, MI, United States.
Farzana ZafreenDepartment of Psychology, Western Michigan University, Kalamazoo, MI, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Unintentional injury is the leading cause of death among children in the United States, and children living in low-income households are particularly at risk for sustaining unintentional injuries. Close parental supervision has been found to reduce young children's risk for injury; however, few studies have examined interventions to increase parental supervision. This paper discusses COVID-19 related modifications that were made to a federally funded randomized controlled trial to reduce low-income children's risk for unintentional injury. The study's procedures (data collection and intervention delivery) had to be transitioned from in-person to a fully virtual format. Modifications that were made to the study included use of: participant cell phones to conduct data collection and intervention sessions; virtual meeting software to conduct sessions with participants and; an online platform to collect questionnaire data. In addition, many modifications were required to complete the in-home observation virtually. In terms of feasibility, the investigators were able to collect all of the data that was originally proposed; however, recruitment and retention was more challenging than anticipated. Lessons learned during the modification process are included to provide guidance to researchers seeking to conduct virtual human subjects research in the future.

Indexed as

child injurieschild injury preventionCOVID-19preventionvirtual data collection

Identifiers

PMID37744685
PMCPMC10515201

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.