This article describes the development and usability of an audio computer-assisted self-interviewing (ACASI) questionnaire created to collect dietary, physical activity, medical history, and other lifestyle data in a population of American Indians. Study participants were part of a cohort of American Indians living in the southwestern United States. Data were collected between March 2004 and July 2005. Information for evaluating questionnaire usability and acceptability was collected from three different sources: baseline study data, auxiliary background data, and a short questionnaire administered to a subset of study participants. For the subset of participants, 39.6% reported not having used a computer in the past year. The ACASI questionnaires were well accepted: 96.0% of the subset of participants reported finding them enjoyable to use, 97.2% reported that they were easy to use, and 82.6% preferred them for future questionnaires. A lower educational level and infrequent computer use in the past year were predictors of having usability trouble. These results indicate that the ACASI questionnaire is both an acceptable and a preferable mode of data collection in this population.
We describe a computer-assisted data collection system developed for a multicenter cohort study of American Indian and Alaska Native people. The study computer-assisted participant evaluation system or SCAPES is built around a central database server that controls a small private network with touch screen workstations. SCAPES encompasses the self-administered questionnaires, the keyboard-based stations for interviewer-administered questionnaires, a system for inputting medical measurements, and administrative tasks such as data exporting, backup and management. Elements of SCAPES hardware/network design, data storage, programming language, software choices, questionnaire programming including the programming of questionnaires administered using audio computer-assisted self-interviewing (ACASI), and participant identification/data security system are presented. Unique features of SCAPES are that data are promptly made available to participants in the form of health feedback; data can be quickly summarized for tribes for health monitoring and planning at the community level; and data are available to study investigators for analyses and scientific evaluation.
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