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Evaluation of the optimal recall period for disease symptoms in home-based morbidity surveillance in rural and urban Kenya
Background In African settings with poor access to health care, surveillance and surveys of disease burden are often done through home visits. The optimal recall period to capture data on symptoms and health utilization is unknown. Methods We collected illness data among 53 000 people during fortnig...
Autores principales: | , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2846445/ https://www.ncbi.nlm.nih.gov/pubmed/20089695 http://dx.doi.org/10.1093/ije/dyp374 |
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author | Feikin, Daniel R Audi, Allan Olack, Beatrice Bigogo, Godfrey M Polyak, Christina Burke, Heather Williamson, John Breiman, Robert F |
author_facet | Feikin, Daniel R Audi, Allan Olack, Beatrice Bigogo, Godfrey M Polyak, Christina Burke, Heather Williamson, John Breiman, Robert F |
author_sort | Feikin, Daniel R |
collection | PubMed |
description | Background In African settings with poor access to health care, surveillance and surveys of disease burden are often done through home visits. The optimal recall period to capture data on symptoms and health utilization is unknown. Methods We collected illness data among 53 000 people during fortnightly home visits in rural and urban Kenya. Dates of cough, fever and diarrhoea in the past 2 weeks and health-seeking behaviour were recorded. Incidence rates were modelled using Poisson regression for data collected from 1 July 2006 to 30 June 2007. Results Incidence rates were higher in days 0–6 before the home visit than in days 7–13 before the home visit for all three symptoms, for the rural and urban sites, for children and adults, for self- and proxy-reported symptoms and for severe and non-severe illness in children. Recall decay was steeper in the rural than the urban sites, and for proxy- than self-reported symptoms. The daily prevalence of symptoms fell <80% of the maximum prevalence when asking about symptoms >3 days before the home visit for children and >4 days for persons ≥5 years of age. Recall of previously documented clinic visits, and prescriptions of antimalarials and antibiotics also declined by ∼7, 15 and 23% per week, respectively, in children aged <5 years, and 6, 20 and 16%, respectively, in older persons (P < 0.0001 for each decline). Conclusions A 2-week recall period underestimates true disease rates and health-care utilization. Shorter recall periods of 3 days in children and 4 days in adults would likely yield more accurate data. |
format | Text |
id | pubmed-2846445 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-28464452010-04-01 Evaluation of the optimal recall period for disease symptoms in home-based morbidity surveillance in rural and urban Kenya Feikin, Daniel R Audi, Allan Olack, Beatrice Bigogo, Godfrey M Polyak, Christina Burke, Heather Williamson, John Breiman, Robert F Int J Epidemiol Methodology Background In African settings with poor access to health care, surveillance and surveys of disease burden are often done through home visits. The optimal recall period to capture data on symptoms and health utilization is unknown. Methods We collected illness data among 53 000 people during fortnightly home visits in rural and urban Kenya. Dates of cough, fever and diarrhoea in the past 2 weeks and health-seeking behaviour were recorded. Incidence rates were modelled using Poisson regression for data collected from 1 July 2006 to 30 June 2007. Results Incidence rates were higher in days 0–6 before the home visit than in days 7–13 before the home visit for all three symptoms, for the rural and urban sites, for children and adults, for self- and proxy-reported symptoms and for severe and non-severe illness in children. Recall decay was steeper in the rural than the urban sites, and for proxy- than self-reported symptoms. The daily prevalence of symptoms fell <80% of the maximum prevalence when asking about symptoms >3 days before the home visit for children and >4 days for persons ≥5 years of age. Recall of previously documented clinic visits, and prescriptions of antimalarials and antibiotics also declined by ∼7, 15 and 23% per week, respectively, in children aged <5 years, and 6, 20 and 16%, respectively, in older persons (P < 0.0001 for each decline). Conclusions A 2-week recall period underestimates true disease rates and health-care utilization. Shorter recall periods of 3 days in children and 4 days in adults would likely yield more accurate data. Oxford University Press 2010-04 2010-01-20 /pmc/articles/PMC2846445/ /pubmed/20089695 http://dx.doi.org/10.1093/ije/dyp374 Text en Published by Oxford University Press on behalf of the International Epidemiological Association 2010 http://creativecommons.org/licenses/by-nc/2.5/uk/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Methodology Feikin, Daniel R Audi, Allan Olack, Beatrice Bigogo, Godfrey M Polyak, Christina Burke, Heather Williamson, John Breiman, Robert F Evaluation of the optimal recall period for disease symptoms in home-based morbidity surveillance in rural and urban Kenya |
title | Evaluation of the optimal recall period for disease symptoms in home-based morbidity surveillance in rural and urban Kenya |
title_full | Evaluation of the optimal recall period for disease symptoms in home-based morbidity surveillance in rural and urban Kenya |
title_fullStr | Evaluation of the optimal recall period for disease symptoms in home-based morbidity surveillance in rural and urban Kenya |
title_full_unstemmed | Evaluation of the optimal recall period for disease symptoms in home-based morbidity surveillance in rural and urban Kenya |
title_short | Evaluation of the optimal recall period for disease symptoms in home-based morbidity surveillance in rural and urban Kenya |
title_sort | evaluation of the optimal recall period for disease symptoms in home-based morbidity surveillance in rural and urban kenya |
topic | Methodology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2846445/ https://www.ncbi.nlm.nih.gov/pubmed/20089695 http://dx.doi.org/10.1093/ije/dyp374 |
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