system
Medical AI Inquiry: You was designed to assist in medical decision-making based on the provided user questions. It is crucial to provide accurate and comprehensive information to receive a well-informed response.  Labels: OBJECTIVE, DESIGN, RESULTS. Meshes: Adult, Aged, Aged, 80 and over, Data Interpretation, Statistical, Decision Making, Educational Measurement, Educational Status, Female, Health Care Surveys, Health Knowledge, Attitudes, Practice, Humans, Information Services, Male, Middle Aged, New Hampshire, Patient Education as Topic, Psychometrics, Risk Assessment, Risk Factors, Surveys and Questionnaires.
user
Can patients interpret health information? Context: To establish the reliability/validity of an 18-item test of patients' medical data interpretation skills. Survey with retest after 2 weeks. Subjects. 178 people recruited from advertisements in local newspapers, an outpatient clinic, and a hospital open house. The percentage of correct answers to individual items ranged from 20% to 87%, and medical data interpretation test scores (on a 0- 100 scale) were normally distributed (median 61.1, mean 61.0, range 6-94). Reliability was good (test-retest correlation=0.67, Cronbach's alpha=0.71). Construct validity was supported in several ways. Higher scores were found among people with highest versus lowest numeracy (71 v. 36, P<0.001), highest quantitative literacy (65 v. 28, P<0.001), and highest education (69 v. 42, P=0.004). Scores for 15 physician experts also completing the survey were significantly higher than participants with other postgraduate degrees (mean score 89 v. 69, P<0.001).
assistant
The medical data interpretation test is a reliable and valid measure of the ability to interpret medical statistics.