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Volume 20, Issue 2, Pages 151-158 (February 2010)


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Comparison of Two Types of Epidemiological Surveys Aimed at Collecting Daily Clinical Symptoms in Community-Based Longitudinal Studies

Gwenyth Lee, MHSa, Vitaliano Cama, PhD, DVMa, Robert H. Gilman, MDac, Lilia Cabrera, RNb, Mayuko Saito, MDabc, William Checkley, MD, PhDadCorresponding Author Informationemail address, CONTENT Investigators

Received 8 June 2009; accepted 22 October 2009.

Background

Investigators use prospective community-based studies to collect longitudinal information on childhood diarrhea. The interval in which data are collected may affect the accuracy and interpretation of results. Our objective was to compare data of reported daily clinical symptoms from surveys conducted daily versus twice-weekly surveys.

Methods

We conducted our study in Lima, Peru, between October and December 2007. We asked 134 mothers to report daily symptoms by using a twice-weekly survey. We conducted daily surveys for the same data on 25% of participants randomly selected each day. We analyzed intersurvey variability by using Cohen's kappa and Signal Detection Theory (SDT).

Results

We collected 6157 and 1181 child-days of data through the twice-weekly and daily surveys, respectively. The prevalence of diarrhea, fever, vomiting, and cough were 6.4%, 1.6%, 2.1%, and 22.7% from the twice-weekly survey and, 6.4%, 2.0%, 2.4%, and 26% from the daily survey, respectively. Despite similar prevalence, 20% of days with reported diarrhea were discrepant between the two surveys, and agreement in the report of diarrhea decreased as time between the interviews increased (p = .03).

Conclusions

Although twice-weekly surveys provide an adequate estimate of diarrheal prevalence compared with daily surveys, the prevalence of other symptoms based on dichotomous questions was lower under the former. Additionally, the agreement between the two surveys in the report of diarrhea decreased as the recall period increased, suggesting that data from daily interviews were of greater quality. Our analysis is a novel application of SDT to measure respondent certainty and bias, from which better inference about the quality of collected data may be drawn.

a Department of International Health, Bloomberg School of Public Health, The Johns Hopkins University, Baltimore, MD

b Asociacion Benefica PRISMA, Lima, Peru

c Universidad Peruana Cayetano Heredia

d Division of Pulmonary and Critical Care, School of Medicine, The Johns Hopkins University, Baltimore, MD

Corresponding Author InformationAddress correspondence to: William Checkley, MD, PhD, The Johns Hopkins University, School of Medicine, Division of Pulmonary and Critical Care, 1830 Monument Street, Fifth Floor, Baltimore, MD 21205. Tel.: 443-287-8741; Fax: 410-955-0036.

 CONTENT investigators: Professor Dermot Kelleher (Trinity College, Ireland), Dr Henry Windle (Trinity College, Ireland), Professor Jean Crabtree (St. James' University Hospital, United Kingdom), Professor Robert Gilman (Universidad Peruana Cayetano Heredia, Peru), Dr. William Checkley (A.B. Prisma, Peru).

 The CONTENT project was supported in part by the Sixth Framework Program of the European Union [INCO-CT-2006-032136]. Gwenyth Lee was supported by an International Maternal and Child Health Training Grant of the United States National Institutes of Health [T32HD046405]. Dr. William Checkley was further supported by a Clinician Scientist Award from the Johns Hopkins University.

PII: S1047-2797(09)00341-X

doi:10.1016/j.annepidem.2009.10.004


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