Validation of an internet questionnaire for risk assessment in preconception care
Public Health Genomics , Volume 13 - Issue 2 p. 89- 94
Aim: Validation of a self-administered Internet questionnaire for preconception risk assessment. Methods: Women with an appointment at the outpatient clinics for preconception care or fertility at the Erasmus Medical Center Rotterdam were requested to fill out the online questionnaire prior to attendance. Subsequently, the items of the questionnaire were verified by history taking during the first or next appointment. Agreement between the 2 screening methods (Internet vs. history taking) was calculated using Kappa statistic. Results: Most lifestyle variables, including smoking, alcohol, and dietary items, showed a good to high level of agreement when compared to the interview. Most medical history and obstetric history items also showed a good to high level of agreement. The use of over-the-counter drugs revealed a poor level of agreement (Kappa = 0.21). The items pertaining to women's family history showed a reasonable level of agreement; however, the partner's family history was unreliable and should be checked at the interview. Conclusion: The online questionnaire www.zwangerwijzer.nl is a useful tool for the identification of a number of potential risk factors in the preconception care setting and was found to be a an efficient and clear screening instrument by the majority of women. However, additional history taking by trained professionals is necessary to verify several items and to further explore identified risk factors for an adverse pregnancy outcome.
|Internet-administered assessment, Online questionnaire, Preconception care, Preconception counseling, Preconception screening, Risk assessment, Validation|
|Public Health Genomics|
|Organisation||Erasmus MC: University Medical Center Rotterdam|
Landkroon, A.P, de Weerd, S, van Vliet-Lachotzki, E, & Steegers-Theunissen, R.P.M. (2009). Validation of an internet questionnaire for risk assessment in preconception care. Public Health Genomics, 13(2), 89–94. doi:10.1159/000228980