Learning Objective #1: Examine methodological issues in using "true," "false," and "don't know" responses for questionnaires measuring knowledge. | |||
Learning Objective #2: Discuss demographic and clinical variables that influence responses on a questionnaire measuring knowledge about sexual activity after MI. |
Objective: 1) To compare response patterns on the Sex After MI Knowledge Test to selected demographic and clinical variables.
Methods: Data were derived from a randomized controlled trial of 115 post-MI patients, compared at pre-test and 1 month. The 25-item Sex after MI Knowledge Test measured knowledge about resuming sex post-MI, using “true,” “false,” or “don’t know” responses. The nominal variable was converted to 3 binaries (0,1) for each response and was examined for significant differences among subgroups using ANOVA.
Findings: At pre-test (N=115), 52% of participants responded correctly, 38.4% “don’t know,” and 9.4% incorrectly to knowledge items. Males had significantly (p<.05) more incorrect responses than females (10.7% vs. 4.2%), as did those age 45 to 59 (p<.05). Those with a college degree tended to answer correctly, indicating more knowledge (p<.05). Many participants reported “don’t know” responses, although insignificant across response sets. Improved knowledge occurred at 1 month post-MI; 74% responded correctly, 17% “don’t know,” and 9.1% incorrectly responded, reflecting increased knowledge and less unsure responses. A comparison between pre-test and 1 month revealed significant differences between genders for incorrect responses at both time periods (p<.05). As expected, those with prior MI had more correct responses at the pre-test (p<.05). Overall, knowledge increased significantly from pre-test to 1 month.
Conclusions: Variations in patterns of knowledge about return to sexual activity post-MI occurred by type of response and gender, age, education, ethnicity, and prior MI. A greater percentage of “don’t know” responses occurred at baseline, with improved knowledge at 1 month. Further research to better understand variations in responses is needed.
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