Nutrition surveillance using a small open cohort: experience from Burkina Faso

Mathias Altmann, Christophe Fermanian, Boshen Jiao, Chiara Altare, Martin Loada, Mark Myatt

Research output: Contribution to journalArticle

Abstract

Background: Nutritional surveillance remains generally weak and early warning systems are needed in areas with high burden of acute under-nutrition. In order to enhance insight into nutritional surveillance, a community-based sentinel sites approach, known as the Listening Posts (LP) Project, was piloted in Burkina Faso by Action Contre la Faim (ACF). This paper presents ACF's experience with the LP approach and investigates potential selection and observational biases. Methods: Six primary sampling units (PSUs) were selected in each livelihood zone using the centric systematic area sampling methodology. In each PSU, 22 children aged between 6 and 24 months were selected by proximity sampling. The prevalence of GAM for each month from January 2011 to December 2013 was estimated using a Bayesian normal-normal conjugate analysis followed by PROBIT estimation. To validate the LP approach in detecting changes over time, the time trends of MUAC from LP and from five cross-sectional surveys were modelled using polynomial regression and compared by using a Wald test. The differences between prevalence estimates from the two data sources were used to assess selection and observational biases. Results: The 95 % credible interval around GAM prevalence estimates using LP approach ranged between +6.5 %/−6.0 % on a prevalence of 36.1 % and +3.5 %/−2.9 % on a prevalence of 10.8 %. LP and cross-sectional surveys time trend models were well correlated (p = 0.6337). Although LP showed a slight but significant trend for GAM to decrease over time at a rate of −0.26 %/visit, the prevalence estimates from the two data sources showed good agreement over a 3-year period. Conclusions: The LP methodology has proved to be valid in following trends of GAM prevalence for a period of 3 years without selection bias. However, a slight observational bias was observed, requiring a periodical reselection of the sentinel sites. This kind of surveillance project is suited to use in areas with high burden of acute under-nutrition where early warning systems are strongly needed. Advocacy is necessary to develop sustainable nutrition surveillance system and to support the use of surveillance data in guiding nutritional programs.

Original languageEnglish (US)
Pages (from-to)1-10
Number of pages10
JournalEmerging Themes in Epidemiology
Volume13
Issue number1
DOIs
StatePublished - Nov 15 2016
Externally publishedYes

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Burkina Faso
Selection Bias
Information Storage and Retrieval
Cross-Sectional Studies

Keywords

  • Burkina Faso
  • Humanitarian
  • Nutrition
  • Observational bias
  • Selection bias
  • Surveillance

ASJC Scopus subject areas

  • Epidemiology

Cite this

Nutrition surveillance using a small open cohort : experience from Burkina Faso. / Altmann, Mathias; Fermanian, Christophe; Jiao, Boshen; Altare, Chiara; Loada, Martin; Myatt, Mark.

In: Emerging Themes in Epidemiology, Vol. 13, No. 1, 15.11.2016, p. 1-10.

Research output: Contribution to journalArticle

Altmann, Mathias ; Fermanian, Christophe ; Jiao, Boshen ; Altare, Chiara ; Loada, Martin ; Myatt, Mark. / Nutrition surveillance using a small open cohort : experience from Burkina Faso. In: Emerging Themes in Epidemiology. 2016 ; Vol. 13, No. 1. pp. 1-10.
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abstract = "Background: Nutritional surveillance remains generally weak and early warning systems are needed in areas with high burden of acute under-nutrition. In order to enhance insight into nutritional surveillance, a community-based sentinel sites approach, known as the Listening Posts (LP) Project, was piloted in Burkina Faso by Action Contre la Faim (ACF). This paper presents ACF's experience with the LP approach and investigates potential selection and observational biases. Methods: Six primary sampling units (PSUs) were selected in each livelihood zone using the centric systematic area sampling methodology. In each PSU, 22 children aged between 6 and 24 months were selected by proximity sampling. The prevalence of GAM for each month from January 2011 to December 2013 was estimated using a Bayesian normal-normal conjugate analysis followed by PROBIT estimation. To validate the LP approach in detecting changes over time, the time trends of MUAC from LP and from five cross-sectional surveys were modelled using polynomial regression and compared by using a Wald test. The differences between prevalence estimates from the two data sources were used to assess selection and observational biases. Results: The 95 {\%} credible interval around GAM prevalence estimates using LP approach ranged between +6.5 {\%}/−6.0 {\%} on a prevalence of 36.1 {\%} and +3.5 {\%}/−2.9 {\%} on a prevalence of 10.8 {\%}. LP and cross-sectional surveys time trend models were well correlated (p = 0.6337). Although LP showed a slight but significant trend for GAM to decrease over time at a rate of −0.26 {\%}/visit, the prevalence estimates from the two data sources showed good agreement over a 3-year period. Conclusions: The LP methodology has proved to be valid in following trends of GAM prevalence for a period of 3 years without selection bias. However, a slight observational bias was observed, requiring a periodical reselection of the sentinel sites. This kind of surveillance project is suited to use in areas with high burden of acute under-nutrition where early warning systems are strongly needed. Advocacy is necessary to develop sustainable nutrition surveillance system and to support the use of surveillance data in guiding nutritional programs.",
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AU - Myatt, Mark

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