Screening for high- and moderate-risk drinking during pregnancy: A comparison of several TWEAK-based screeners
Dawson, D. A., Das, A., Faden, V. B., Bhaskar, B., Krulewitch, C. J., & Wesley, B. (2001). Screening for high- and moderate-risk drinking during pregnancy: A comparison of several TWEAK-based screeners. Alcoholism, Clinical and Experimental Research, 25(9), 1342-1349. DOI: 10.1111/j.1530-0277.2001.tb02357.x
Purpose: This study investigated the use of the TWEAK and nine alternative screeners for predicting high-risk and moderate-risk drinking during pregnancy.
Method: The analysis was based on self-reports from 404 lifetime drinkers who presented for an initial visit at nine prenatal clinics in Washington, DC. Data were collected anonymously by having women directly enter their responses onto an audio, computer-assisted interview that was programmed onto a laptop computer. Pregnancy risk drinking status was based on both average daily volume of intake and frequency of drinking 3+ drinks in a day. Each of the alternative screeners was constructed by adding one additional risk indicator to the TWEAK, and three different scoring options were explored.
Results: Using thresholds of 2 points for high-risk drinking and 1 point for moderate-risk drinking, the TWEAK demonstrated a sensitivity and specificity of 70.6% and 73.2% for high-risk drinking and a sensitivity and specificity of 65.6% and 63.7% for any (high- or moderate-) risk drinking during pregnancy. None of the alternative screeners resulted in significant improvement, but the addition of current smoking status showed enough promise to warrant further testing in larger samples.
Conclusions: Despite some loss in sensitivity and specificity, the TWEAK, in its original or a modified form, can be extended to measures of high-risk drinking that incorporate infrequent heavy intake and can be used to test for moderate- as well as high-risk drinking. Because identification of moderate-risk drinkers substantially increases the pool of women targeted for intervention, cost implications must be considered in designing appropriate interventions.