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Concept Libraries for Repeatable and Reusable Research: Qualitative Study Exploring the Needs of Users

ZAHRA ALMOWIL, Shang-ming Zhou Orcid Logo, Sinead Brophy Orcid Logo, Jodie Croxall Orcid Logo

JMIR Human Factors, Volume: 9, Issue: 1, Start page: e31021

Swansea University Authors: ZAHRA ALMOWIL, Shang-ming Zhou Orcid Logo, Sinead Brophy Orcid Logo

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    ┬ęZahra Almowil, Shang-Ming Zhou, Sinead Brophy, Jodie Croxall. This is an open-access article distributed under the terms of the Creative Commons Attribution License

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DOI (Published version): 10.2196/31021

Abstract

Background:Big data research in the field of health sciences is hindered by a lack of agreement on how to identify and define different conditions and their medications. This means that researchers and health professionals often have different phenotype definitions for the same condition. This lack...

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Published in: JMIR Human Factors
ISSN: 2292-9495
Published: JMIR Publications Inc. 2022
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa61655
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Abstract: Background:Big data research in the field of health sciences is hindered by a lack of agreement on how to identify and define different conditions and their medications. This means that researchers and health professionals often have different phenotype definitions for the same condition. This lack of agreement makes it difficult to compare different study findings and hinders the ability to conduct repeatable and reusable research.Objective:This study aims to examine the requirements of various users, such as researchers, clinicians, machine learning experts, and managers, in the development of a data portal for phenotypes (a concept library).Methods:This was a qualitative study using interviews and focus group discussion. One-to-one interviews were conducted with researchers, clinicians, machine learning experts, and senior research managers in health data science (N=6) to explore their specific needs in the development of a concept library. In addition, a focus group discussion with researchers (N=14) working with the Secured Anonymized Information Linkage databank, a national eHealth data linkage infrastructure, was held to perform a SWOT (strengths, weaknesses, opportunities, and threats) analysis for the phenotyping system and the proposed concept library. The interviews and focus group discussion were transcribed verbatim, and 2 thematic analyses were performed.Results:Most of the participants thought that the prototype concept library would be a very helpful resource for conducting repeatable research, but they specified that many requirements are needed before its development. Although all the participants stated that they were aware of some existing concept libraries, most of them expressed negative perceptions about them. The participants mentioned several facilitators that would stimulate them to share their work and reuse the work of others, and they pointed out several barriers that could inhibit them from sharing their work and reusing the work of others. The participants suggested some developments that they would like to see to improve reproducible research output using routine data.Conclusions:The study indicated that most interviewees valued a concept library for phenotypes. However, only half of the participants felt that they would contribute by providing definitions for the concept library, and they reported many barriers regarding sharing their work on a publicly accessible platform. Analysis of interviews and the focus group discussion revealed that different stakeholders have different requirements, facilitators, barriers, and concerns about a prototype concept library.
Keywords: electronic health records; record linkage; reproducible research; clinical codes; concept libraries
College: Faculty of Medicine, Health and Life Sciences
Funders: This research was supported by the Kuwait Cultural Office in London, HDRUK (Health Data Research UK), and the National Centre for Population Health and Wellbeing.
Issue: 1
Start Page: e31021