Evidence map›Paper›PMID 40971572›Full record

ArticleJournal of medical Internet research2025

Reflections on the Optimal Use of eDiaries for Data Collection in Vaccine Clinical Trials.

Ujwani Nukala, Sylvia Cho, Aneesha Suresh Sahu, Jessica Zhou, Whitney R Steele, Barbee I Whitaker, Hussein Ezzeldin

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2025. 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

7 authors.

Ujwani NukalaOffice of Biostatistics and Pharmacovigilance, Center for Biologics Evaluation and Research, Food and Drug Administration, Building 71, 10903 New Hampshire Avenue, Silver Spring, MD, 20993, United States, 1 2402052212.ORCID http://orcid.org/0000-0002-9785-3223
Sylvia ChoOffice of Biostatistics and Pharmacovigilance, Center for Biologics Evaluation and Research, Food and Drug Administration, Building 71, 10903 New Hampshire Avenue, Silver Spring, MD, 20993, United States, 1 2402052212.ORCID http://orcid.org/0000-0002-0263-0343
Aneesha Suresh SahuOffice of Biostatistics and Pharmacovigilance, Center for Biologics Evaluation and Research, Food and Drug Administration, Building 71, 10903 New Hampshire Avenue, Silver Spring, MD, 20993, United States, 1 2402052212.ORCID http://orcid.org/0000-0002-1014-9541
Jessica ZhouOffice of Biostatistics and Pharmacovigilance, Center for Biologics Evaluation and Research, Food and Drug Administration, Building 71, 10903 New Hampshire Avenue, Silver Spring, MD, 20993, United States, 1 2402052212.ORCID http://orcid.org/0009-0009-0184-847X
Whitney R SteeleOffice of Biostatistics and Pharmacovigilance, Center for Biologics Evaluation and Research, Food and Drug Administration, Building 71, 10903 New Hampshire Avenue, Silver Spring, MD, 20993, United States, 1 2402052212.ORCID http://orcid.org/0000-0001-7955-3115
Barbee I WhitakerOffice of Biostatistics and Pharmacovigilance, Center for Biologics Evaluation and Research, Food and Drug Administration, Building 71, 10903 New Hampshire Avenue, Silver Spring, MD, 20993, United States, 1 2402052212.ORCID http://orcid.org/0000-0002-6311-6268
Hussein EzzeldinOffice of Biostatistics and Pharmacovigilance, Center for Biologics Evaluation and Research, Food and Drug Administration, Building 71, 10903 New Hampshire Avenue, Silver Spring, MD, 20993, United States, 1 2402052212.ORCID http://orcid.org/0000-0001-7375-6456

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Unlabelled: Recent years have witnessed a transformative shift in the way patient-reported outcomes are captured. The increasing adoption of digital health technologies offers exciting possibilities for more efficient, engaging, and insightful data collection electronically. Regulators recommend that the source data captured electronically should adhere to Attributable, Legible, Contemporaneous, Original, and Accurate principles to ensure data quality and integrity and be compliant with regulatory requirements. Traditionally, paper diaries are used to collect safety data in clinical trials; however, electronic forms of these paper diaries represent a paramount resource that could improve data quality, reduce costs, and limit the burden on clinical staff and trial participants. Electronic diaries (eDiaries) offer significant advantages, but specific measures must be taken to ensure their optimal use. In this paper, we provide our reflections on key measures, such as programming the eDiary platform, training the trial staff and participants, and real-time monitoring of participant compliance, to leverage eDiaries for optimal data collection. By implementing the measures discussed in this paper, eDiaries can offer significant advantages for both trial participants and clinical investigators by ensuring the quality and integrity of the data collected.

Indexed as

Clinical Trials as TopicData CollectionDiaries as TopicVaccinesHumansVaccinesclinical trialsdata collectiondigital diariesdigital health technologieseDiarieselectronic diariespaper diariespatient-reported outcomesvaccinationvaccinevaccine safety and efficacy

Identifiers

PMID40971572
PMCPMC12448254

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.