Evidence map›Paper›PMID 38511708›Full record

ReviewThe American journal of nursing2024

Developing Crowdsourced Clinical Registry Studies.

Carolynn Thomas Jones, Jeremy Walker, Rachel L McMullen, Peter G Pappas

Abstract readReview
In one paragraph

Review in The American journal of nursing, 2024. 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

4 authors.

Carolynn Thomas JonesCarolynn Thomas Jones is clinical professor and director of the Master of Clinical Research Program at The Ohio State University College of Nursing in Columbus. Jeremy Walker is an assistant professor at the University of Alabama Birmingham School of Medicine, where Rachel L. McMullen is a clinical trials specialist and Peter G. Pappas is a professor of medicine. Contact author: Carolynn Thomas Jones, jones.5342@osu.edu . Article development was supported by National Center for Advancing Translational Sciences Grants No. UL1TR002733 and No. UM1TR004548. The authors wish to acknowledge Jeremy Gold, MD, MS, medical epidemiologist at the Centers for Disease Control and Prevention (CDC), for his guidance regarding study methodology. The authors were funded in part by CDC Cooperative Agreement No. CDC-RFA-CK20-2003. The findings of this report are those of the authors and do not necessarily represent the official position of the CDC.
Jeremy Walker
Rachel L McMullen
Peter G Pappas

Funding

The OSU Center for Clinical and Translational Science: Advancing Today's Discoveries to Improve HealthUL1TR002733 · NCATS · OHIO STATE UNIVERSITY · PI RINGEL, MATTHEW D · 2018 to 2022
$28.9M
The OSU Center for Clinical and Translational Science: Advancing Today's Discoveries to Improve HealthUM1TR004548 · NCATS · OHIO STATE UNIVERSITY · PI CYNTHIA A GERHARDT, JULIE A. JOHNSON · 2023 to 2026
$22.0M
NCATS NIH HHS UL1 TR002733NCATS NIH HHS UM1 TR004548
6 · The paper itself

Abstract

abstractCrowdsourced registries have been used to quickly gather information, especially during emerging public health concerns. Registries that began during the COVID-19 pandemic were used to rapidly answer key questions on coinfections, experimental treatments, and morbidity and mortality outcomes. Registries are also used more frequently to support clinical trials and track long-term outcomes in patient populations. This article reviews registry methodology, including the collection of data from crowdsourcing and real-world sources, that can be applied to nurse researcher and clinical research nurse skill sets. The authors illustrate a recently reported crowdsourced COVID-19 and cryptococcal disease registry that followed project management strategies and the Agency for Healthcare Research and Quality registry guidelines for planning, execution, and analysis of registries and other research methods.

Indexed as

COVID-19CrowdsourcingHumansPandemicsPublic HealthRegistries

Identifiers

PMID38511708
PMCPMC11146667

What OpenQuestion holds

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Registered trials

None linked

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.