Clinical Trial Data Management in Environmental Health Tailored for an African Setting

Patricia Nicole Albers*, Caradee Yael Wright*

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

66 Downloads (Pure)

Abstract

Clinical trial data management tools are widely available-some free to access and others relatively expensive, particularly for low- and middle-income countries. Such tools also do not always permit adaptation for local conditions nor include options to capture environmental and meteorological data. In the context of climate change and pressing environmental health threats, more studies that aim to assess the impacts of environmental change on public health are being carried out. Here, using freely available software, we tailor-made a clinical trial data management tool that managed all aspects of an intervention-based clinical trial to assess the impact of personal solar ultraviolet radiation exposure on vaccine effectiveness. Data captured and associated procedures included patient data, scheduling, reporting, analysis and data management. Moreover, patient enrolment, recruitment, follow-up and decision-making in response to patient data were managed. Given the multidisciplinary study approach, the tool also managed all environmental and meteorological data for the rural African study site. Application of the tool ensured efficient communication between rural sites, a relatively high overall participant response rate (87%) and minimal loss to follow-up. This study suggests that it is possible to tailor-make a clinical trial data management tool for environmental and public health studies.

Original languageEnglish
Article number402
Number of pages15
JournalInternational Journal of Environmental Research and Public Health
Volume17
Issue number2
DOIs
Publication statusPublished - 8 Jan 2020

Keywords

  • Africa
  • Climate Change
  • Clinical Trials as Topic/methods
  • Data Management
  • Environmental Health
  • Humans
  • Public Health
  • Rural Population
  • Ultraviolet Rays

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