Anemia design effects in cluster surveys of women and young children in refugee settings.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2021
Historique:
received: 10 02 2021
accepted: 17 06 2021
entrez: 15 7 2021
pubmed: 16 7 2021
medline: 11 11 2021
Statut: epublish

Résumé

Nutrition surveys in many refugee settings routinely estimate anemia prevalence in high-risk population groups. Given the lack of information on anemia design effects (DEFF) observed in surveys in these settings, the goal of this paper is to better understand the magnitude and distribution of DEFFs and intracluster correlation coefficients (ICCs) in order to inform future survey design. Two-stage cluster surveys conducted during 2013-2016 were included if they measured hemoglobin in refugee children aged 6-59 months and/or non-pregnant women aged 15-49 years. Prevalence of anemia, anemia DEFFs and ICCs, mean cluster size, number of clusters, and total sample size were calculated per-survey for non-pregnant women and children. Non-parametric tests were used to assess differences and correlations of ICC and DEFF between women and children and inter-regional differences. Eighty-seven unique cluster surveys from nine countries were included in this analysis. More than 90% of all surveys had ICC values for anemia below 0.10. Median ICC for children was 0.032 (IQR: 0.015-0.048), not significantly different from that observed for non-pregnant women for whom the median was 0.024 (IQR: -0.002-0.055). DEFFs were significantly higher for children [1.54 (IQR: 1.21-1.82)] versus women [1.20 (IQR: 0.99-1.46)]. Regional differences in DEFFs and ICCs were observed. Both ICCs and DEFF were relatively small for both non-pregnant women and preschool children and fall in a narrow range. Differences in ICCs between women and children were non-significant, suggesting similar inter-cluster distributions of anemia; significant differences in DEFF were likely attributable to differing cluster sizes. Given regional differences in both ICCs and DEFFs, location-specific values are preferred. However, in the absence of other context-specific information, we suggest using DEFFs of 1.4-1.8 if mean cluster size is around 20, and DEFFs of 1.2-1.4 if mean cluster size is around 10.

Sections du résumé

BACKGROUND
Nutrition surveys in many refugee settings routinely estimate anemia prevalence in high-risk population groups. Given the lack of information on anemia design effects (DEFF) observed in surveys in these settings, the goal of this paper is to better understand the magnitude and distribution of DEFFs and intracluster correlation coefficients (ICCs) in order to inform future survey design.
METHODS
Two-stage cluster surveys conducted during 2013-2016 were included if they measured hemoglobin in refugee children aged 6-59 months and/or non-pregnant women aged 15-49 years. Prevalence of anemia, anemia DEFFs and ICCs, mean cluster size, number of clusters, and total sample size were calculated per-survey for non-pregnant women and children. Non-parametric tests were used to assess differences and correlations of ICC and DEFF between women and children and inter-regional differences.
RESULTS
Eighty-seven unique cluster surveys from nine countries were included in this analysis. More than 90% of all surveys had ICC values for anemia below 0.10. Median ICC for children was 0.032 (IQR: 0.015-0.048), not significantly different from that observed for non-pregnant women for whom the median was 0.024 (IQR: -0.002-0.055). DEFFs were significantly higher for children [1.54 (IQR: 1.21-1.82)] versus women [1.20 (IQR: 0.99-1.46)]. Regional differences in DEFFs and ICCs were observed.
CONCLUSIONS
Both ICCs and DEFF were relatively small for both non-pregnant women and preschool children and fall in a narrow range. Differences in ICCs between women and children were non-significant, suggesting similar inter-cluster distributions of anemia; significant differences in DEFF were likely attributable to differing cluster sizes. Given regional differences in both ICCs and DEFFs, location-specific values are preferred. However, in the absence of other context-specific information, we suggest using DEFFs of 1.4-1.8 if mean cluster size is around 20, and DEFFs of 1.2-1.4 if mean cluster size is around 10.

Identifiants

pubmed: 34264944
doi: 10.1371/journal.pone.0254031
pii: PONE-D-21-04542
pmc: PMC8282045
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0254031

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

Références

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pubmed: 18721184
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Clin Infect Dis. 2008 May 15;46(10):1582-8
pubmed: 18419494

Auteurs

Erin N Hulland (EN)

Emergency Response and Recovery Branch, Division of Global Health Protection, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.

Eva Leidman (E)

Emergency Response and Recovery Branch, Division of Global Health Protection, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.

Caroline Wilkinson (C)

Division of Programme Support and Management, Public Health Section, United Nations High Commissioner for Refugees, Geneva, Switzerland.

Mélody Tondeur (M)

Canadian Partnership for Women and Children's Health, Peterborough, Ontario, Canada.

Oleg Bilukha (O)

Emergency Response and Recovery Branch, Division of Global Health Protection, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.

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Classifications MeSH