Peggy Liu|Ling?Ling Yeh|Jiun?Yi Wang|Shao-Ti Lee
Relationship Between Levels of Digital Health Literacy Based on the Taiwan Digital Health Literacy Assessment and Accurate Assessment of Online Health Information: Cross-Sectional Questionnaire Study
Asia University|Dharma Drum Institute of Liberal Arts|Asia University|China Medical University Hospital|China Medical University
background increasing amount health information available internet makes important ever ensure people judge accuracy information prevent harm may possible platforms set protective mechanisms depending level digital health literacy thereby decrease possibility harm misuse health information objective study aimed create instrument digital health literacy assessment dhla based ehealth literacy scale eheals categorize participants level risk misinterpreting health information high medium lowrisk groups methods study developed dhla constructed online health information bank correct incorrect answers receiver operating characteristic curve analysis used detect cutoff value dhla using 5 items randomly selected online health information bank classify users low medium high risk misjudging health information provided information relationship risk group digital health literacy accurate judgement online health information study participants taiwanese residents aged 20 years older snowball sampling used internet questionnaires anonymously completed participants reliability validity dhla examined logistic regression used analyze factors associated risk groups dhla results study collected 1588 valid questionnaires online health information bank included 310 items health information classified easy 147 items moderate 122 items difficult 41 items based difficulty judging accuracy internal consistency dhla satisfactory 87 factor analysis construct validity found three factors accounting 766 variance receiver operating characteristic curve analysis found 106 people high risk 1368 medium risk 114 low risk misinterpreting health information original grouped cases 896 correctly classified discriminate analysis logistic regression analysis showed participants high risk misjudging health information lower education level lower income poorer health also rarely never browsed internet differences statistically significant conclusions dhla score could distinguish low medium high risk misjudging health information internet health information platforms internet could consider incorporating dhla set mechanism protect users misusing health information avoid harming health