Active and adaptive case finding to estimate therapeutic program coverage for severe acute malnutrition: a capture-recapture study

Sheila Isanaka, Bethany L Hedt-Gauthier, Halidou Salou, Fatou Berthé, Rebecca F Grais, Ben G S Allen, Sheila Isanaka, Bethany L Hedt-Gauthier, Halidou Salou, Fatou Berthé, Rebecca F Grais, Ben G S Allen

Abstract

Background: Coverage is an important indicator to assess both the performance and effectiveness of public health programs. Recommended methods for coverage estimation for the treatment of severe acute malnutrition (SAM) can involve active and adaptive case finding (AACF), an informant-driven sampling procedure, for the identification of cases. However, as this procedure can yield a non-representative sample, exhaustive or near exhaustive case identification is needed for valid coverage estimation with AACF. Important uncertainty remains as to whether an adequate level of exhaustivity for valid coverage estimation can be ensured by AACF.

Methods: We assessed the sensitivity of AACF and a census method using a capture-recapture design in northwestern Nigeria. Program coverage was estimated for each case finding procedure.

Results: The sensitivity of AACF was 69.5% (95% CI: 59.8, 79.2) and 91.9% (95% CI: 85.1, 98.8) with census case finding. Program coverage was estimated to be 40.3% (95% CI 28.6, 52.0) using AACF, compared to 34.9% (95% CI 24.7, 45.2) using the census. Depending on the distribution of coverage among missed cases, AACF sensitivity of at least ≥70% was generally required for coverage estimation to remain within ±10% of the census estimate.

Conclusion: Given the impact incomplete case finding and low sensitivity can have on coverage estimation in potentially non-representative samples, adequate attention and resources should be committed to ensure exhaustive or near exhaustive case finding.

Trial registration: ClinicalTrials.gov ID NCT03140904. Registered on May 3, 2017.

Keywords: Active and adaptive; Capture recapture; Case finding; Community-based management of acute malnutrition; Coverage; Nigeria; SQUEAC; Severe acute malnutrition; Therapeutic feeding program.

Conflict of interest statement

The authors declare that they have no competing interests.

References

    1. Myatt M, Sadler K. Semi-Quantitative Evaluation of Access and Coverage (SQUEAC)/ Simplified Lot Quality Assurance Sampling Evaluation of Access and Coverage (SLEAC) Technical Reference. 2012;(October):1–241. Available from:
    1. Myatt M, Woodhead S. Developing an active and adaptive case-finding procedure for use in coverage assessments of therapeutic feeding programs [internet] 2016.
    1. Thompson SK, Collins LM. Adaptive sampling in research on risk-related behaviors. Drug Alcohol Depend. 2002;68:57–67. doi: 10.1016/S0376-8716(02)00215-6.
    1. Kendall C. An Emprical comparison of respondent-driven sampling, time location sampling, and snowball sampling for Behavioural surveillance in men who have sex with men, Fortaleza. Brazil AIDS Behav. 2008;12:S97–104. doi: 10.1007/s10461-008-9390-4.
    1. Bliss JR, Njenga M, Stoltzfus RJ, Pelletier DL. Stigma as a barrier to treatment for child acute malnutrition in Marsabit County, Kenya. Matern Child Nutr. 2016;12(1):125–138. doi: 10.1111/mcn.12198.
    1. Epicentre. Open Reivew of Coverage Methodologies: Questions, comments and ways forward. 2015; Available from:
    1. International Medical Corps. SMART Nutrition and Mortality Survey Report in Wamakko and Binji. 2015;
    1. Sokoto State Ministry of Health. Nigeria National Population Commission Census. 2006.
    1. Myatt M, Wegerdt J, Zanchettin M. Using capture-recapture studies to investigate the performance of case-finding procedures. 2016.
    1. Hook EB, Regal RR. Capture-recapture methods in epidemiology: methods and limitations. Epidemiol Rev. 1995;17(2):243–264. doi: 10.1093/oxfordjournals.epirev.a036192.
    1. Tilling K. Capture-recapture methods - useful or misleading? Int J Epidemiol. 2001;30(1):12–14. doi: 10.1093/ije/30.1.12.
    1. Seber GAF. The effects of trap response on tag recapture estimates. Biometrics. 1970;26(1):13–22. doi: 10.2307/2529040.
    1. Nigerian Federal Ministry of Health, Family Health Department ND. National Guidelines for Community Management of Acute Malnutrition. 2011.
    1. Chapman D. Some properties of the hypergeometric distribution with applications to zoological sample censuses. Berkeley: University of California Press; 1951. pp. 131–159.
    1. Balegamire BS, Siling K, Alvarez Moran J-L, Guevarra E, Woodhead S, Norris A, et al. A single coverage estimator for use in SQUEAC , SLEAC , and other CMAM coverage assessments. Field Exchange [Internet]. 2015;(49) Available from: .
    1. Blanárová L, Rogers E, Magen C, Woodhead S. Taking severe acute malnutrition treatment Back to the community: practical experiences from nutrition coverage surveys. Front Public Heal. 2016;4(September):1–5.
    1. Myatt M, Fieschi L, Ouma C, Guevarra E, Emary C. A review of historical data on the case-finding sensitivity of active and adaptive case-finding procedures for severe acute malnutrition. 2016.
    1. Guerrero S, Kyalo K, Yishak Y, Kirichu S, Sebinwa U, Norris A. Debunking urban myths : access & coverage of SAM-treatment programmes in urban contexts. Field Exhange [Internet]. 2013;(46) Available from: .

Source: PubMed

3
Sottoscrivi