Evidence map›Paper›PMID 38917448›Full record

ArticleJMIR medical informatics2024

User Preferences and Needs for Health Data Collection Using Research Electronic Data Capture: Survey Study.

Hiral Soni, Julia Ivanova, Hattie Wilczewski, Triton Ong, J Nalubega Ross, Alexandra Bailey, Mollie Cummins, Janelle Barrera, Brian Bunnell, Brandon Welch

Abstract read
In one paragraph

Article in JMIR medical informatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Trial
  2. Article
  3. Observational
  4. Development of a Health Text Message System to Support Stroke Prevention: A Component of the Love Your Brain Digital Platform.Health expectations : an international journal of public participation in health care and health policy · 2025
    Article
  5. Article
  6. Article
  7. Article
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.

Hiral SoniDoxy.me Research, Doxy.me Inc, Charleston, SC, United States.ORCID https://orcid.org/0000-0002-2054-3737
Julia IvanovaDoxy.me Research, Doxy.me Inc, Charleston, SC, United States.ORCID https://orcid.org/0000-0002-5852-200X
Hattie WilczewskiDoxy.me Research, Doxy.me Inc, Charleston, SC, United States.ORCID https://orcid.org/0000-0002-3034-0087
Triton OngDoxy.me Research, Doxy.me Inc, Charleston, SC, United States.ORCID https://orcid.org/0000-0002-2512-2026
J Nalubega RossDoxy.me Research, Doxy.me Inc, Charleston, SC, United States.ORCID https://orcid.org/0000-0003-4343-5330
Alexandra BaileyDoxy.me Research, Doxy.me Inc, Charleston, SC, United States.ORCID https://orcid.org/0009-0004-0641-5423
Mollie CumminsDoxy.me Research, Doxy.me Inc, Charleston, SC, United States.ORCID https://orcid.org/0000-0001-7078-8479
Janelle BarreraDoxy.me Research, Doxy.me Inc, Charleston, SC, United States.ORCID https://orcid.org/0000-0002-1010-6365
Brian BunnellDoxy.me Research, Doxy.me Inc, Charleston, SC, United States.ORCID https://orcid.org/0000-0002-4964-0688
Brandon WelchDoxy.me Research, Doxy.me Inc, Charleston, SC, United States.ORCID https://orcid.org/0000-0002-2214-9282

Funding

PRACTICE: A Mobile Health Solution to Improve Between-Session Skills Practice in Youth Mental Health TreatmentK23MH118482 · NIMH · UNIVERSITY OF SOUTH FLORIDA · PI BUNNELL, BRIAN E. · 2018 to 2021
$621k
Improving data capture in clinical research using a chatbotR41LM013419 · NLM · DOKBOT, LLC · PI WELCH, BRANDON M · 2020 to 2020
$252k
NIMH NIH HHS K23 MH118482NLM NIH HHS R41 LM013419
6 · The paper itself

Abstract

backgroundSelf-administered web-based questionnaires are widely used to collect health data from patients and clinical research participants. REDCap (Research Electronic Data Capture; Vanderbilt University) is a global, secure web application for building and managing electronic data capture. Unfortunately, stakeholder needs and preferences of electronic data collection via REDCap have rarely been studied.

objectiveThis study aims to survey REDCap researchers and administrators to assess their experience with REDCap, especially their perspectives on the advantages, challenges, and suggestions for the enhancement of REDCap as a data collection tool.

methodsWe conducted a web-based survey with representatives of REDCap member organizations in the United States. The survey captured information on respondent demographics, quality of patient-reported data collected via REDCap, patient experience of data collection with REDCap, and open-ended questions focusing on the advantages, challenges, and suggestions to enhance REDCap's data collection experience. Descriptive and inferential analysis measures were used to analyze quantitative data. Thematic analysis was used to analyze open-ended responses focusing on the advantages, disadvantages, and enhancements in data collection experience.

resultsA total of 207 respondents completed the survey. Respondents strongly agreed or agreed that the data collected via REDCap are accurate (188/207, 90.8%), reliable (182/207, 87.9%), and complete (166/207, 80.2%). More than half of respondents strongly agreed or agreed that patients find REDCap easy to use (165/207, 79.7%), could successfully complete tasks without help (151/207, 72.9%), and could do so in a timely manner (163/207, 78.7%). Thematic analysis of open-ended responses yielded 8 major themes: survey development, user experience, survey distribution, survey results, training and support, technology, security, and platform features. The user experience category included more than half of the advantage codes (307/594, 51.7% of codes); meanwhile, respondents reported higher challenges in survey development (169/516, 32.8% of codes), also suggesting the highest enhancement suggestions for the category (162/439, 36.9% of codes).

conclusionsRespondents indicated that REDCap is a valued, low-cost, secure resource for clinical research data collection. REDCap's data collection experience was generally positive among clinical research and care staff members and patients. However, with the advancements in data collection technologies and the availability of modern, intuitive, and mobile-friendly data collection interfaces, there is a critical opportunity to enhance the REDCap experience to meet the needs of researchers and patients.

Indexed as

clinical researchelectronic data collectionhealth datamobile phonepersonal health informationREDCapResearch Electronic Data Captureuser experience

Identifiers

PMID38917448
PMCPMC11234068

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.