JMIR Medical Education (Jan 2021)

Impact Evaluation of the Kenya Frontline Field Epidemiology Training Program: Repeated-Measures Study

  • Roka, Zeinab Gura,
  • Oyugi, Elvis Omondi,
  • Githuku, Jane Njoki,
  • Kanyina, Evalyne,
  • Obonyo, Mark,
  • Omballa, Victor,
  • Boru, Waqo Gufu,
  • Ransom, James

DOI
https://doi.org/10.2196/18956
Journal volume & issue
Vol. 7, no. 1
p. e18956

Abstract

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BackgroundIn 2014, Kenya’s Field Epidemiology and Laboratory Training Program (FELTP) initiated a 3-month field-based frontline training, Field Epidemiology Training Program (FETP-F), for local public health workers. ObjectiveThis study aimed to measure the effect of FETP-F on participant workplace practices regarding quality and consistency of public health data, critical interaction with public health data, and improvements in on-time reporting (OTR). MethodsBetween February and April 2017, FELTP conducted a mixed methods evaluation via online survey to examine outcomes achieved among all 215 graduates from 2014 and 2015. Data quality assessment (DQA) and data consistency assessment (DCA) scores, OTR percentages, and ratings of the training experience were the quantitative measures tracked from baseline and then at 6-month intervals up to 18 months postcompletion of the training. The qualitative component consisted of semistructured face-to-face interviews and observations. Quantitative data were analyzed using descriptive statistics and one-way analysis of variance (ANOVA). Qualitative data were transcribed and analyzed to identify key themes and dimensions. ResultsIn total, 103 (47%) graduates responded to the survey. Quantitative analyses showed that the training significantly increased the mean DQA and OTR scores but there was a nonsignificant increase in mean DCA scores. Qualitative analyses found that 68% of respondents acquired new skills, 83% applied those skills to their day-to-day work, and 91% improved work methods. ConclusionsFETP-F improved overall data quality and OTR at the agency level but had minimal impact on data consistency between local, county, and national public health agencies. Participants reported that they acquired practical skills that improved data collation and analysis and OTR.