期刊
JOURNAL OF CLINICAL EPIDEMIOLOGY
卷 67, 期 12, 页码 1358-1363出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.jclinepi.2014.06.012
关键词
Sub-Saharan Africa; Data capture; Electronic questionnaire; Open-source; Epidemiology; Survey
资金
- UK Medical Research Council [MR/K013491/1]
- South African Sugar Association
- Servier South Africa
- Victor Daitz Foundation
- Medical Research Council [G0901213, MR/K013491/1] Funding Source: researchfish
- MRC [G0901213, MR/K013491/1] Funding Source: UKRI
Objectives: Existing electronic data capture options are often financially unfeasible in resource-poor settings or difficult to support technically in the field. To help facilitate large-scale multicenter studies in sub-Saharan Africa, the African Partnership for Chronic Disease Research (APCDR) has developed an open-source electronic questionnaire (EQ). Study Design and Setting: To assess its relative validity, we compared the EQ against traditional pen-and-paper methods using 200 randomized interviews conducted in an ongoing type 2 diabetes case-control study in South Africa. Results: During its 3-month validation, the EQ had a lower frequency of errors (EQ, 0.17 errors per 100 questions; paper, 0.73 errors per 100 questions; P-value <= 0.001), and a lower monetary cost per correctly entered question, compared with the pen-and-paper method. We found no marked difference in the average duration of the interview between methods (EQ, 5.4 minutes; paper, 5.6 minutes). Conclusion: This validation study suggests that the EQ may offer increased accuracy, similar interview duration, and increased cost-effectiveness compared with paper-based data collection methods. The APCDR EQ software is freely available (https://github.com/apcdr/questionnaire). (C) 2014 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/3.0/).
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