Leonid Berlin, Andrey Galyaev, Pavel Lysenko
Comparison of Information Criteria for Detection of Useful Signals in Noisy Environments
Sensors (Basel, Switzerland)
low health literacy lhl significantly impacts patients ability participate actively healthcare registered nurses rns play crucial role identifying lhl addressing patient knowledge gaps skill deficits correlational study examined relationship rns predictions patients health literacy levels hll actual hll predominately hispanic patient population addition personal factors ie demographics analyzed determine influence nurses predictions patients hll data collected 84 participant patientnurse couplets admitted medicalsurgical unit rural setting located united statesmexico border addition demographic information collected via survey rns asked predict patients health literacy abilities newest vital sign health literacy assessment tool deployed determine actual hll patients participating study data analyzed using descriptive statistics ttests chisquare tests spearman correlational model used examine relationship predicted hll actual hll finally logistic regression model used analyze relationship personal factors hl data rns patients analysis data revealed rns consistently overestimated patients abilities evidenced disparity patients actual hll mean 171 predicted hll mean 426 rns moderately strong positive relationship rs 418 notably higher academic preparation years experience enhance rns ability identify lhl highest level education completed statistically significant predictor adequate health literacy patient population sampled findings emphasize need prioritize effective health literacy education rn academic preparation clinical practice support detection lhl standardized health literacy assessment tool utilized clinical setting recognizing presence lhl healthcare professionals better support patients needs bridge knowledge gap ultimately improving patient outcomes