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Handheld computers for self-administered sensitive data collection: a comparative study in Peru.
Antonio Bernabe-Ortiz1, Walter H Curioso, Marco A Gonzales
1School of Public Health and Administration, Universidad Peruana Cayetano Heredia, Lima, Peru. 03887@upch.edu.pe
BMC Medical Informatics and Decision Making
|March 28, 2008
Summary
Handheld computers (PDAs) offer a reliable method for collecting sensitive sexual behavior data, showing high agreement with paper surveys. This technology reduces inconsistencies and missing data, proving feasible for developing countries.
Area of Science:
- Public Health
- Medical Informatics
- Survey Methodology
Background:
- Low-cost handheld computers (Personal Digital Assistants - PDAs) show potential for efficient sensitive data collection in surveys.
- Evaluating the data quality from PDAs against traditional paper questionnaires is crucial for validating new technologies.
Purpose of the Study:
- To assess the quality of sexual behavior data collected using PDAs compared to paper-based questionnaires.
- To determine the feasibility and reliability of PDA-based data collection in a developing country context.
Main Methods:
- Developed a PDA data collection program using open-source tools.
- Conducted two cross-sectional studies in Ancon (Lima), comparing PDA-collected sexual behavior data with paper questionnaire data.
- Analyzed agreement and correlation for categorical and numerical variables, and assessed response rates, inconsistencies, and missing values.
Main Results:
- General agreement between paper and PDA data was 86%, with higher agreement for categorical variables (Kappa: 0.43-0.86) than numerical variables (Spearman: 0.76-0.95).
- Agreement was higher among participants with at least a high school education.
- PDA use resulted in significantly fewer inconsistencies and missing values compared to paper questionnaires.
Conclusions:
- PDA-based systems are valuable for collecting sensitive data, achieving high agreement with paper methods.
- PDAs offer a feasible, low-cost alternative for field data collection in developing nations, improving data accuracy.
- The study demonstrates the successful implementation of a low-cost PDA application for reliable data gathering.
