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

Overview of attention for article published in BMC Research Notes, January 2016
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Title
Use of the data system for field management of a clinical study conducted in Kolkata, India
Published in
BMC Research Notes, January 2016
DOI 10.1186/s13104-015-1767-7
Pubmed ID
Authors

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, Thomas F. Wierzba, Dipika Sur, Suman Kanungo, Mohammad Ali, Byomkesh Manna

Abstract

Designing 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. The 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. Data 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. The 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.

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The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 21%
Student > Master 6 18%
Other 5 15%
Student > Ph. D. Student 2 6%
Student > Postgraduate 2 6%
Other 2 6%
Unknown 9 27%
Readers by discipline Count As %
Medicine and Dentistry 7 21%
Nursing and Health Professions 4 12%
Arts and Humanities 2 6%
Pharmacology, Toxicology and Pharmaceutical Science 2 6%
Biochemistry, Genetics and Molecular Biology 2 6%
Other 6 18%
Unknown 10 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 February 2016.
All research outputs
#18,163,149
of 23,332,901 outputs
Outputs from BMC Research Notes
#2,862
of 4,307 outputs
Outputs of similar age
#270,748
of 396,541 outputs
Outputs of similar age from BMC Research Notes
#102
of 145 outputs
Altmetric has tracked 23,332,901 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,307 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one is in the 29th percentile – i.e., 29% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 396,541 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 145 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.