| Autor: |
Wen-Hsuan Hou, Yao-Mao Chang, Mu-Jean Chen, Han-Wei Tsai, Chien-Tien Su, Der-Sheng Han, Ding-Cheng Chan, KEN N. Kuo, Chung-Yi Li |
| Rok vydání: |
2020 |
| DOI: |
10.21203/rs.3.rs-54229/v1 |
| Popis: |
Background: Health literacy (HL) is the capacity to access, understand, appraise, and apply health information to make appropriate health decisions. This study aimed to establish a predictive algorithm for identifying community-dwelling older adults at a high risk of low HL. Methods: A total of 648 older adults were included and 85% was used to generate the prediction model for scoring algorithm while 15% was used to test the fitness of the model. Pearson’s chi-squared test and multiple logistic regression were used to identify the factors associated with the HL level. An optimal cutoff point was identified based on the maximum sensitivity and specificity. Results: 350 patients (54.6%) was classified as the low HL level. Twenty-four variables were identified for significantly differentiating between high and low HL. Eight factors including socio-environmental determinant and health outcome related factors significantly predicted low HL. The scoring algorithm yielded an area under the curve of 0.71 and optimal cutoff of 5 represented mediocre sensitivity (62.0%) and good specificity (76.2%). Conclusion: This simple scoring algorithm efficiently and effectively identify community-dwelling older adults a low HL. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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