Comparison of Population-Based Census versus Birth History for the Estimation of Under-5 Mortality in Niger.


Journal

The American journal of tropical medicine and hygiene
ISSN: 1476-1645
Titre abrégé: Am J Trop Med Hyg
Pays: United States
ID NLM: 0370507

Informations de publication

Date de publication:
06 Dec 2023
Historique:
received: 23 11 2022
accepted: 21 06 2023
medline: 11 12 2023
pubmed: 31 10 2023
entrez: 30 10 2023
Statut: epublish

Résumé

The WHO guidelines on mass distribution of azithromycin for child survival recommend monitoring of mortality to evaluate effectiveness. Trials that contributed evidence to these guidelines used a population-based census to monitor vital status, requiring census workers to visit each household biannually (twice yearly). Birth history is an alternative to the census approach that may be more feasible because it decreases the time and labor needed for mortality monitoring. This study aimed to compare the population-based census (reference standard) and birth history (index test) approaches to estimating mortality among children 1 to 59 months old using data from the Macrolides Oraux pour Réduire les Décès avec un Oeil sur la Résistance (MORDOR) trial. Sixteen communities that received 5 years of biannual census in the MORDOR trial were selected randomly also to receive birth history surveys. The census approach recorded more participants and households than birth history, with correlations more than 0.94 for each. The correlation between number of deaths in each community was 0.84 (95% CI, 0.59-0.94). A comparison of the mortality incidence rate estimated from the census against the under-5 mortality rate estimated from the birth history resulted in a correlation of 0.60 (95% CI, 0.15-0.84). Of the 47% of children who were linked individually to compare vital status from each method, the death status of children had a sensitivity of 80% (95% CI, 73-89) and a specificity of 98% (95% CI, 98-99), comparing birth history to census. Overall birth histories were found to be a reasonable alternative to biannual census for tracking vital status.

Identifiants

pubmed: 37903434
doi: 10.4269/ajtmh.22-0725
pii: tpmd220725
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1380-1387

Auteurs

Brittany Peterson (B)

Francis I. Proctor Foundation, University of California, San Francisco, California.

Ahmed Mamane Arzika (AM)

Centre de Recherche et Interventions en Santé Publique, Birni N'Gaoure, Niger.

Abdou Amza (A)

Programme Nationale de Santé Oculaire, Niamey, Niger.

Alio Karamba (A)

Centre de Recherche et Interventions en Santé Publique, Birni N'Gaoure, Niger.

Nasser H Dodo (NH)

Centre de Recherche et Interventions en Santé Publique, Birni N'Gaoure, Niger.

Nasser Galo (N)

Centre de Recherche et Interventions en Santé Publique, Birni N'Gaoure, Niger.

Aboubacar Beidi (A)

Centre de Recherche et Interventions en Santé Publique, Birni N'Gaoure, Niger.

Abarchi Moustapha (A)

Centre de Recherche et Interventions en Santé Publique, Birni N'Gaoure, Niger.

Elodie Lebas (E)

Francis I. Proctor Foundation, University of California, San Francisco, California.

Catherine Cook (C)

Francis I. Proctor Foundation, University of California, San Francisco, California.

Jeremy D Keenan (JD)

Francis I. Proctor Foundation, University of California, San Francisco, California.
Department of Ophthalmology, University of California, San Francisco, California.

Thomas M Lietman (TM)

Francis I. Proctor Foundation, University of California, San Francisco, California.
Department of Ophthalmology, University of California, San Francisco, California.
Department of Epidemiology and Biostatistics, University of California, San Francisco, California.
Institute for Global Health Sciences, University of California, San Francisco, California.

Kieran S O'Brien (KS)

Francis I. Proctor Foundation, University of California, San Francisco, California.
Department of Ophthalmology, University of California, San Francisco, California.
Department of Epidemiology and Biostatistics, University of California, San Francisco, California.
Institute for Global Health Sciences, University of California, San Francisco, California.

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