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      Evaluation of the optimal recall period for disease symptoms in home-based morbidity surveillance in rural and urban Kenya

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          Abstract

          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.

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          Most cited references28

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              Answering autobiographical questions: the impact of memory and inference on surveys.

              Survey questions often probe respondents for quantitative facts about events in their past: "During the last 2 weeks, on days when you drank liquor, about how many drinks did you have?" "During the past 12 months, how many visits did you make to a dentist?" "When did you last work at a full-time job?" are all examples from national surveys. Although questions like these make an implicit demand to remember and enumerate specific autobiographical episodes, respondents frequently have trouble complying because of limits on their ability to recall. In these situations, respondents resort to inferences that use partial information from memory to construct a numeric answer. Results from cognitive psychology can be useful in understanding and investigating these phenomena. In particular, cognitive research can help in identifying situations that inhibit or facilitate recall and can reveal inferences that affect the accuracy of respondents' answers.
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                Author and article information

                Journal
                Int J Epidemiol
                ije
                intjepid
                International Journal of Epidemiology
                Oxford University Press
                0300-5771
                1464-3685
                April 2010
                20 January 2010
                20 January 2010
                : 39
                : 2
                : 450-458
                Affiliations
                1International Emerging Infections Program, Kenya, and Centers for Disease Control and Prevention, Nairobi and Kisumu, Kenya, 2Centre for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya and 3Division of Parasitic Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
                Author notes
                *Corresponding author. KEMRI/CDC, P.O. Box 1578, Kisumu, Kenya. E-mail: dfeikin@ 123456ke.cdc.gov
                Article
                dyp374
                10.1093/ije/dyp374
                2846445
                20089695
                72693a95-398f-46d4-ab2c-bd969d1c87b0
                Published by Oxford University Press on behalf of the International Epidemiological Association 2010

                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.

                History
                : 24 November 2009
                Categories
                Methodology

                Public health
                respiratory infections,memory recall,africa,population surveillance,fever,diarrhoea
                Public health
                respiratory infections, memory recall, africa, population surveillance, fever, diarrhoea

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