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Innovative Approaches to Clinical Data Management in Resource Limited Settings Using Open-Source Technologies

  • Raymond Omollo
  • , Michael Ochieng
  • , Brian Mutinda
  • , Truphosa Omollo
  • , Rhoda Owiti
  • , Seth Okeyo
  • , Monique Wasunna
  • , Tansy Edwards
  • African Regional Office
  • Kenya Medical Research Institute
  • London School of Hygiene and Tropical Medicine

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)

Abstract

The primary objective of clinical data management (CDM) is to provide high-quality, reliable data for reporting randomized controlled trials (RCTs) in line with good clinical practice (GCP) requirements. For treatment trials of neglected tropical diseases (NTDs) in endemic countries, CDM systems need to be efficient and affordable. Challenges include poor infrastructure, license costs associated with GCP-compliant software, and limited human resources to provide the required expertise. We argue that high-quality CDM for NTDs can be achieved and that challenges can be overcome through the use of readily available open-access tools.
Original languageEnglish
JournalPLoS Neglected Tropical Diseases
Volume8
Issue number9
DOIs
Publication statusPublished - 11 Sept 2014
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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