Evidence map›Paper›PMID 26749186›Full record

ArticleBMC research notes2016

Use of the data system for field management of a clinical study conducted in Kolkata, India.

Ju Yeon Park, Deok Ryun Kim, Bisakha Haldar, Aiyel Haque Mallick, Soon Ae Kim, Ayan Dey, Ranjan Kumar Nandy, Dilip Kumar Paul, Saugata Choudhury, Shushama Sahoo and 5 more

Open access · goldAbstract read
In one paragraph

Article in BMC research notes, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.6field-weighted citation impact, top 10% of its field
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

5 citing papers in PubMed, 10 citations in OpenAlex.

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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

15 authors at 5 institutions in 3 countries.

Ju Yeon ParkInternational Vaccine Institute, Seoul, South Korea. juyeon.park@ivi.int.
Deok Ryun KimInternational Vaccine Institute, Seoul, South Korea. drkim@ivi.int.
Bisakha HaldarNational Institute of Cholera and Enteric Diseases, Kolkata, India. bisakha7471@gmail.com.
Aiyel Haque MallickNational Institute of Cholera and Enteric Diseases, Kolkata, India. ahaque1234@gmail.com.
Soon Ae KimInternational Vaccine Institute, Seoul, South Korea. sakimhaji@gmail.com.
Ayan DeyInternational Vaccine Institute, Seoul, South Korea. adey@ivi.int.
Ranjan Kumar NandyNational Institute of Cholera and Enteric Diseases, Kolkata, India. nandy_rk@hotmail.com.
Dilip Kumar PaulB.C. Roy Post Graduate Institute of Pediatric Sciences, Kolkata, India. dpaulpaed@rediffmail.com.
Saugata ChoudhuryB.C. Roy Post Graduate Institute of Pediatric Sciences, Kolkata, India. saugata.dr@gmail.com.
Shushama SahooB.C. Roy Post Graduate Institute of Pediatric Sciences, Kolkata, India. sushamasahoo@gmail.com.
Thomas F WierzbaInternational Vaccine Institute, Seoul, South Korea. twierzba@path.org.
Dipika SurNational Institute of Cholera and Enteric Diseases, Kolkata, India. dipikasur@hotmail.com.
Suman KanungoNational Institute of Cholera and Enteric Diseases, Kolkata, India. sumankanungo@gmail.com.
Mohammad AliInternational Vaccine Institute, Seoul, South Korea. mali25@jhu.edu.
Byomkesh MannaNational Institute of Cholera and Enteric Diseases, Kolkata, India. mannab2000@yahoo.co.in.
National Institute of Cholera and Enteric Diseases · INInternational Vaccine Institute · KRInstitute of Post Graduate Medical Education and Research · INJohns Hopkins University · USProgram for Appropriate Technology in Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDesigning an appropriate data system is important to the success of a clinical study. However, little information is available on this topic. We share our experiences on designing, developing, and implementation of a data system for management of data and field activities of a complex clinical study.

methodsThe data system was implemented aiming at determining the biological basis for the underperformance of oral vaccines, such as polio and rotavirus vaccines in children at a site in Kolkata, India. The system included several functionalities to control data and field activities. It was restricted to authorized users based on their access privileges. A relational database platform was chosen, and Microsoft Visual FoxPro 7.0 (Microsoft Corporation, Seattle, WA, USA) was used to develop the system. The system was installed at the clinic and data office to facilitate both the field and data management activities.

resultsData were doubly entered by two different data operators to identify keypunching errors in the data. Outliers, duplication, inconsistencies, missing entries, and linkage were also checked. Every modification and users log-in/log-out information was auto-recorded in an audit trail. The system offered tools for preparation of visit schedule of the participants. A visit considered as protocol deviation was documented by the system. The system alerted field staff to every upcoming visit date to organize the field activities and to inform participants which day to come. The system also produced a growth chart for evaluating nutritional status and referring the child to a specialized clinic if found to be severely malnourished.

conclusionThe data system offered unique features for controlling for both data and field activities, which led to minimize drop-out rates as well as protocol deviations. Such system is warranted for a successful clinical study.

Indexed as

Clinical Studies as TopicDatabase Management SystemsDatabases, FactualAnthropometryChildClinical AuditHumansIndiaReproducibility of ResultsResearch Report

Identifiers

PMID26749186
PMCPMC4706999
OpenAlexW2227090343

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.