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Evolution of primary care databases in UK: a scientometric analysis of research output
  1. Paraskevas Vezyridis,
  2. Stephen Timmons
  1. Centre for Health Innovation, Leadership and Learning (CHILL), Nottingham University Business School, Nottingham, UK
  1. Correspondence to Dr Paraskevas Vezyridis; Paraskevas.Vezyridis{at}nottingham.ac.uk

Abstract

Objective To identify publication and citation trends, most productive institutions and countries, top journals, most cited articles and authorship networks from articles that used and analysed data from primary care databases (CPRD, THIN, QResearch) of pseudonymised electronic health records (EHRs) in UK.

Methods Descriptive statistics and scientometric tools were used to analyse a SCOPUS data set of 1891 articles. Open access software was used to extract networks from the data set (Table2Net), visualise and analyse coauthorship networks of scholars and countries (Gephi) and density maps (VOSviewer) of research topics co-occurrence and journal cocitation.

Results Research output increased overall at a yearly rate of 18.65%. While medicine is the main field of research, studies in more specialised areas include biochemistry and pharmacology. Researchers from UK, USA and Spanish institutions have published the most papers. Most of the journals that publish this type of research and most cited papers come from UK and USA. Authorship varied between 3 and 6 authors. Keyword analyses show that smoking, diabetes, cardiovascular diseases and mental illnesses, as well as medication that can treat such medical conditions, such as non-steroid anti-inflammatory agents, insulin and antidepressants constitute the main topics of research. Coauthorship network analyses show that lead scientists, directors or founders of these databases are, to various degrees, at the centre of clusters in this scientific community.

Conclusions There is a considerable increase of publications in primary care research from EHRs. The UK has been well placed at the centre of an expanding global scientific community, facilitating international collaborations and bringing together international expertise in medicine, biochemical and pharmaceutical research.

  • scientometrics
  • PRIMARY CARE
  • electronic patient records
  • STATISTICS & RESEARCH METHODS

This is an Open Access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 4.0) license, which permits others to distribute, remix, adapt and build upon this work, for commercial use, provided the original work is properly cited. See: http://creativecommons.org/licenses/by/4.0/

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Footnotes

  • Contributors PV and ST conceived and designed the study. PV collected and analysed the data. PV and ST interpreted the findings, drafted the manuscript and approved the final manuscript for submission.

  • Funding PV is supported by a Marie Skłodowska-Curie Individual Fellowship from European Commission (2014-IF-659478). ST is partially supported by the National Institute for Health Research (NIHR) Collaboration for Leadership in Applied Health Research and Care (East Midlands).

  • Disclaimer The views expressed are those of the authors and not necessarily those of the EC, NHS, the NIHR or the Department of Health.

  • Competing interests None declared.

  • Provenance and peer review Not commissioned; externally peer reviewed.

  • Data sharing statement No additional data are available.