Evidence map›Paper›PMID 32788154›Full record

ArticleJournal of medical Internet research2020

An Electronic Data Capture Framework (ConnEDCt) for Global and Public Health Research: Design and Implementation.

Caleb J Ruth, Samantha Lee Huey, Jesse T Krisher, Amy Fothergill, Bryan M Gannon, Camille Elyse Jones, Elizabeth Centeno-Tablante, Laura S Hackl, Susannah Colt, Julia Leigh Finkelstein and 1 more

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Article
  4. Vitamin BClinical nutrition ESPEN · 2025
    Observational
  5. Article
  6. Article
  7. Article
  8. Article
  9. Continuing Nursing Research During a Pandemic.The Nursing clinics of North America · 2023
    Review
  10. Observational
  11. Article
  12. Article
  13. Article
  14. Observational
  15. Article
  16. Article
  17. Article
  18. 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

11 authors.

Caleb J Ruth *Data Performance LLC, Ithaca, NY, United States.ORCID 0000-0003-1781-8020
Samantha Lee Huey *Division of Nutritional Sciences, Cornell University, Ithaca, NY, United States.ORCID 0000-0002-9774-8642
Jesse T KrisherDivision of Nutritional Sciences, Cornell University, Ithaca, NY, United States.ORCID 0000-0002-3190-6126
Amy FothergillDivision of Nutritional Sciences, Cornell University, Ithaca, NY, United States.ORCID 0000-0001-7976-1096
Bryan M GannonDivision of Nutritional Sciences, Cornell University, Ithaca, NY, United States.ORCID 0000-0003-1781-9242
Camille Elyse JonesDivision of Nutritional Sciences, Cornell University, Ithaca, NY, United States.ORCID 0000-0002-3359-5683
Elizabeth Centeno-TablanteDivision of Nutritional Sciences, Cornell University, Ithaca, NY, United States.ORCID 0000-0001-6480-8779
Laura S HacklDivision of Nutritional Sciences, Cornell University, Ithaca, NY, United States.ORCID 0000-0002-2645-1200
Susannah ColtDivision of Nutritional Sciences, Cornell University, Ithaca, NY, United States.ORCID 0000-0002-1935-4197
Julia Leigh FinkelsteinDivision of Nutritional Sciences, Cornell University, Ithaca, NY, United States.ORCID 0000-0001-9512-5559
Saurabh MehtaDivision of Nutritional Sciences, Cornell University, Ithaca, NY, United States.ORCID 0000-0003-3788-0665

Funding

FeverPhone: Point of Care Diagnosis of Acute Febrile Illness using a Mobile DeviceR01EB021331 · NIBIB · CORNELL UNIVERSITY · PI ERICKSON, DAVID CARL, MEHTA, SAURABH · 2016 to 2020
$3.0M
TRAINING IN MATERNAL AND CHILD NUTRITIONT32HD087137 · NICHD · CORNELL UNIVERSITY · PI Laura Bellows, Julia L. Finkelstein · 2016 to 2026
$2.0M
NIBIB NIH HHS R01 EB021331NICHD NIH HHS T32 HD087137
6 · The paper itself

Abstract

backgroundWhen we were unable to identify an electronic data capture (EDC) package that supported our requirements for clinical research in resource-limited regions, we set out to build our own reusable EDC framework. We needed to capture data when offline, synchronize data on demand, and enforce strict eligibility requirements and complex longitudinal protocols. Based on previous experience, the geographical areas in which we conduct our research often have unreliable, slow internet access that would make web-based EDC platforms impractical. We were unwilling to fall back on paper-based data capture as we wanted other benefits of EDC. Therefore, we decided to build our own reusable software platform. In this paper, we describe our customizable EDC framework and highlight how we have used it in our ongoing surveillance programs, clinic-based cross-sectional studies, and randomized controlled trials (RCTs) in various settings in India and Ecuador.

objectiveThis paper describes the creation of a mobile framework to support complex clinical research protocols in a variety of settings including clinical, surveillance, and RCTs.

methodsWe developed ConnEDCt, a mobile EDC framework for iOS devices and personal computers, using Claris FileMaker software for electronic data capture and data storage.

resultsConnEDCt was tested in the field in our clinical, surveillance, and clinical trial research contexts in India and Ecuador and continuously refined for ease of use and optimization, including specific user roles; simultaneous synchronization across multiple locations; complex randomization schemes and informed consent processes; and collecting diverse types of data (laboratory, growth measurements, sociodemographic, health history, dietary recall and feeding practices, environmental exposures, and biological specimen collection).

conclusionsConnEDCt is customizable, with regulatory-compliant security, data synchronization, and other useful features for data collection in a variety of settings and study designs. Furthermore, ConnEDCt is user friendly and lowers the risks for errors in data entry because of real time error checking and protocol enforcement.

Indexed as

Cross-Sectional StudiesDelivery of Health CareElectronic Data ProcessingHumansPublic HealthResearch Designdatabase management systemsdata collectiondata managementdata scienceElectronic Data Capture (EDC)global healthhealth information managementlongitudinal studiespopulation surveillancepublic healthrandomized controlled trial

Identifiers

PMID32788154
PMCPMC7453324

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.