Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

How well do coverage surveys and programmatically reported mass drug administration coverage match? Results from 214 mass drug administration campaigns in 15 countries, 2008–2017

Bibliographic Data

ID21881351
AuthorsKathryn L Zoerhoff (0000-0003-4499-1267, RTI International), Pamela Sabina Mbabazi (World Health Organization), Katherine Gass (0000-0002-2084-8039, The Task Force for Global Health), John Kraemer (Georgetown University), John D Kraemer (0000-0002-8769-3393, Georgetown University), Brian B Fuller (0000-0001-5865-2528, Helen Keller International), Lynsey Blair (SCI Foundation, London, UK), Roland Bougma (Ministère de la Santé), Aboulaye Meïté (0000-0001-7701-6551, Ministère de la Santé et de l'Hygiène Publique), Nebiyu Negussu (Federal Ministry of Health), Bizuayehu Gashaw (Bahir Dar University), Scott D Nash (0000-0001-5741-8537, Carter Center), Nana-Kwadwo Biritwum (0000-0001-5967-5676, Ministry of Health), Jean Frantz Lemoine (Ministère de la Santé Publique et de la Population, Port-au-Prince, Haiti), Helena Ullyartha Pangaribuan (0000-0002-4634-0153, Kementerian Kesehatan Republik Indonesia), Eksi Wijayanti (Kementerian Kesehatan Republik Indonesia), Karsor Kollie (0000-0003-4741-3374, Ministry of Health, Monrovia, Liberia), Clara Fabienne Rasoamanamihaja (Ministere de la Sante Publique, Antananarivo, Madagascar), Lazarus Juziwelo (Ministry of Health), Square Mkwanda (Ministry of Health), Pradip Rimal (0000-0001-6681-2456, Ministry of Health and Population), Issa Gnandou (Ministère de la Santé Publique), Bocar Diop (Ministère de la Santé Publique et Action Sociale), Améyo M Dorkenoo (0000-0002-1030-7757, Togolese Ministry of Health), Rachel Bronzan (FHI 360, Washington, District of Columbia, USA), Rachel N Bronzan (0000-0002-8453-2498, Family Health International 360), Edridah M Tukahebwa (0000-0002-0624-2890, Ministry of Health), Fatima Kabole (Zanzibar Ministry of Health, Stone Town, Tanzania, United Republic of), Violetta Yevstigneyeva (United States Agency for International Development), Donal Bisanzio (0000-0002-7832-2291, RTI International), Lauren Courtney (0000-0002-8943-4934, RTI International), Joseph Koroma (FHI 360, Washington, District of Columbia, USA), Joseph B Koroma (Family Health International 360), Egide Endayishimye (Family Health International 360), Richard Reithinger (0000-0001-5710-1556, RTI International, corresponding author), Margaret Baker (0000-0002-4537-3914, RTI International), Margaret C Baker (International Development Group, RTI International, Washington, District of Columbia, USA), Fiona Fleming (0000-0002-3866-2232), Fiona M Fleming (SCI Foundation, London, UK)
Year2023
Volume8
Issue5
Pagese011193
Publication date2023-05-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueBMJ Global Health (JOURNAL)
Journal identifiersISSN: 2059-7908 • E-ISSN: 2059-7908
PublisherBMJ (PUBLISHER • GB)
DOI10.1136/bmjgh-2022-011193
PMID37142297
OpenAlexW4372332075
LanguageEN
References cited30

INTRODUCTION: Delivering preventive chemotherapy through mass drug administration (MDA) is a central approach in controlling or eliminating several neglected tropical diseases (NTDs). Treatment coverage, a primary indicator of MDA performance, can be measured through routinely reported programmatic data or population-based coverage evaluation surveys. Reported coverage is often the easiest and least expensive way to estimate coverage; however, it is prone to inaccuracies due to errors in data compilation and imprecise denominators, and in some cases measures treatments offered as opposed to treatments swallowed. OBJECTIVE: Analyses presented here aimed to understand (1) how often coverage calculated using routinely reported data and survey data would lead programme managers to make the same programmatic decisions; (2) the magnitude and direction of the difference between these two estimates, and (3) whether there is meaningful variation by region, age group or country. METHODS: We analysed and compared reported and surveyed treatment coverage data from 214 MDAs implemented between 2008 and 2017 in 15 countries in Africa, Asia and the Caribbean. Routinely reported treatment coverage was compiled using data reported by national NTD programmes to donors, either directly or via NTD implementing partners, following the implementation of a district-level MDA campaign; coverage was calculated by dividing the number of individuals treated by a population value, which is typically based on national census projections and occasionally community registers. Surveyed treatment coverage came from post-MDA community-based coverage evaluation surveys, which were conducted as per standardised WHO recommended methodology. RESULTS: Coverage estimates using routine reporting and surveys gave the same result in terms of whether the minimum coverage threshold was reached in 72% of the MDAs surveyed in the Africa region and in 52% in the Asia region. The reported coverage value was within ±10 percentage points of the surveyed coverage value in 58/124 of the surveyed MDAs in the Africa region and 19/77 in the Asia region. Concordance between routinely reported and surveyed coverage estimates was 64% for the total population and 72% for school-age children. The study data showed variation across countries in the number of surveys conducted as well as the frequency with which there was concordance between the two coverage estimates. CONCLUSIONS: Programme managers must grapple with making decisions based on imperfect information, balancing needs for accuracy with cost and available capacity. The study shows that for many of the MDAs surveyed, based on the concordance with respect to reaching the minimum coverage thresholds, the routinely reported data were accurate enough to make programmatic decisions. Where coverage surveys do show a need to improve accuracy of routinely reported results, NTD programme managers should use various tools and approaches to strengthen data quality in order to use data for decision-making to achieve NTD control and elimination goals

Census · Environmental health · Mass drug administration · Population · Public health · Demography · Malaria Research and Control · Medicine · Parasites and Host Interactions · Parasitic Diseases Research and Treatment

  • A Concordance Correlation Coefficient to Evaluate Reproducibility

    Lawrence I-Kuei Lin•Biometrics•1989

  • Receiver Operating Characteristic Curve in Diagnostic Test Assessment

    Open Access•Jayawant N Mandrekar•Journal of Thoracic Oncology•2010

  • Assessing and monitoring vaccination coverage levels

    Open Access•Vance Dietz, Linda Venczel et al.•Revista Panamericana de Salud…•2004

Citation velocityhistorical
Highly citedNo
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae