Evidence map›Paper›PMID 39600730›Full record

ArticleCureus2024

Real-Time Data Collection Utilizing Mobile Technology in Clinical Research: A Secondary Analysis of a Prospective Cohort.

Jessica V Baran, Jerry M Brown, Luke Lamos, Jared Florio, Jesse Beacker, Lea V Oliveros, Abigail L Fabbrini, Andrew A Farrar, Panida Sriaroon, Michael J Wilsey

Abstract read
In one paragraph

Article in Cureus, 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

10 authors.

Jessica V BaranPediatric Gastroenterology, Johns Hopkins All Children's Hospital, St. Petersburg, USA.
Jerry M BrownPediatric Gastroenterology, Johns Hopkins All Children's Hospital, St. Petersburg, USA.
Luke LamosPediatric Gastroenterology, Johns Hopkins All Children's Hospital, St. Petersburg, USA.
Jared FlorioPediatric Gastroenterology, Johns Hopkins All Children's Hospital, St. Petersburg, USA.
Jesse BeackerPediatric Gastroenterology, Johns Hopkins All Children's Hospital, St. Petersburg, USA.
Lea V OliverosPediatric Gastroenterology, Johns Hopkins All Children's Hospital, St. Petersburg, USA.
Abigail L FabbriniPediatric Gastroenterology, Johns Hopkins All Children's Hospital, St. Petersburg, USA.
Andrew A FarrarPediatric Gastroenterology, Johns Hopkins All Children's Hospital, St. Petersburg, USA.
Panida SriaroonPediatrics, University of South Florida Morsani College of Medicine, Tampa, USA.
Michael J WilseyPediatric Gastroenterology, Johns Hopkins All Children's Hospital, St. Petersburg, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionClinical research faces the challenge of declining physician participation in the pursuit of advancing evidence-based medicine. This secondary analysis focuses on the interactive mobile health (mHealth) application's utility as a real-time data collection tool in clinical settings, specifically targeting cow's milk protein allergy (CMPA) management. The study assesses the mHealth application's potential to alleviate data collection inefficiencies and improve physician engagement in clinical research.

methodsThe analysis utilized de-identified survey data from a prospective cohort of 61 physicians who employedan interactive mobile survey application over 12 weeks, documenting 808 patient visits.

resultsOf these physicians, 52 (85%) completed initial and follow-up surveys, with the predominant reason for exclusion being incomplete or non-submission of data. Of the 404 patient surveys collected, 75 (19%) were excluded primarily due to the absence of follow-up information.

conclusionThese results underscore the application's practicality in streamlining clinical data collection, evidenced by the high rate of survey completion and the efficiency of data management among participating physicians. The findings indicate that interactive mobile health applications aided in collecting and managing clinical data, with 85% of physicians completing surveys for initial and follow-up visits. This high completion rate suggests the potential for mobile applications to mitigate traditional barriers to physician participation, such as time constraints and complex data management. The study contributes empirical evidence to the potential of mobile technology in enhancing research efficiency and engagement among physicians in the context of CMPA management. While the results are insightful, further studies are encouraged to extend the utility of the interactive mobile survey application and similar technologies across diverse clinical research areas, reinforcing mobile technology's role in transforming clinical research practices.

Indexed as

barriers to researchclinical researchdata collection softwaremobile apps (mhealth)mobile phone applicationtechnology

Identifiers

PMID39600730
PMCPMC11596229

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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.