Scratch lottery tickets are a poor incentive to respond to mailed questionnaires.
BACKGROUND
It has been demonstrated that the enclosure of money with a mailed questionnaire increases the response rate significantly. We evaluated scratch lottery tickets as an alternative to cash.


METHODS
1500 randomly selected Norwegians between the ages of 40 and 65 years were sent a short questionnaire. 250 received one lottery scratch ticket worth 20 Norwegian kroner (approximately 3 USD) together with the questionnaire, 250 received two scratch tickets, and 250 were promised two scratch tickets if they replied within one week. A fourth group of 250 persons received a 50 kroner banknote with the questionnaire. The remaining 500 letters served as controls.


RESULTS
The overall response rate after 6 weeks was 77%. Logistic regression analysis showed that only the 50 kroner group had a response rate that was statistically significantly higher than the controls (p < 0.0001). It was also significantly higher than that in any of the other incentive groups (p < 0.0001, p < 0.004 and p < 0.0001 respectively). Female sex (p < 0.001) and age (p < 0.002) increased the response rate significantly.


CONCLUSIONS
It is possible that the recipients scratched their cards before completing the questionnaire, and that it was a disincentive for the majority that they did not win anything. Lottery scratch tickets are no substitute for cash as an incentive to respond to a questionnaire.
Finsen
Vilhjalmur
V
Dept. of Orthopaedic Surgery, St. Olav's University Hospital, 7006 Trondheim, Norway. vilh.finsen@ntnu.no
Storeheier
Andreas H
AH
D000328:Adult; D005260:Female; D005715:Gambling / Q000523:psychology*; D019538:Health Care Surveys / Q000191:economics / Q000379:methods*; D006300:Health Services Misuse; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D009042:Motivation; D009664:Norway; D011177:Postal Service; D013514:Surgical Procedures, Operative / Q000706:statistics & numerical data; D011795:Surveys and Questionnaires / Q000191:economics* / Q000706:statistics & numerical data