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\"A complete road map for word knowledge instruction in PreK-2, this book focuses on developing the word recognition and phonics skills identified in the Common Core standards for Foundational Skills. It offers clear-cut instructions for assessing students' stages of word knowledge development--emergent, beginning, or transitional--and their specific instructional needs. Chapters on each developmental stage are packed with effective learning activities and strategies, plus guidance for fitting them into the classroom day. Of special value, online-only appendices provide purchasers with more than 30 reproducible assessment and instructional tools, ready to download and print in a convenient 8 1/2\" x 11\" size\"-- Provided by publisher.

BackgroundPatient misunderstanding of prescription drug label instructions is a common cause of unintentional misuse of medication and adverse health outcomes. Those with limited literacy and English proficiency are at greater risk.ObjectiveTo test the effectiveness of a patient-centered drug label strategy, including a Universal Medication Schedule (UMS), to improve proper regimen use and adherence compared to a current standard.DesignTwo-arm, multi-site patient-randomized pragmatic trial.ParticipantsEnglish- and Spanish-speaking patients from eight community health centers in northern Virginia who received prescriptions from a central-fill pharmacy and who were 1) ≥30 years of age, 2) diagnosed with type 2 diabetes and/or hypertension, and 3) taking ≥2 oral medications.InterventionA patient-centered label (PCL) strategy that incorporated evidence-based practices for format and content, including prioritized information, larger font size, and increased white space. Most notably, instructions were conveyed with the UMS, which uses standard intervals for expressing when to take medicine (morning, noon, evening, bedtime).Main MeasuresDemonstrated proper use of a multi-drug regimen; medication adherence measured by self-report and pill count at 3 and 9 months.Key ResultsA total of 845 patients participated in the study (85.6 % cooperation rate). Patients receiving the PCL demonstrated slightly better proper use of their drug regimens at first exposure (76.9 % vs. 70.1 %, p = 0.06) and at 9 months (85.9 % vs. 77.4 %, p = 0.03). The effect of the PCL was significant for English-speaking patients (OR 2.21, 95 % CI 1.13–4.31) but not for Spanish speakers (OR 1.19, 95 % CI 0.63–2.24). Overall, the intervention did not improve medication adherence. However, significant benefits from the PCL were found among patients with limited literacy (OR 5.08, 95 % CI 1.15–22.37) and for those with medications to be taken ≥2 times a day (OR 2.77, 95 % CI 1.17–6.53).ConclusionsA simple modification to pharmacy-generated labeling, with minimal investment required, can offer modest improvements to regimen use and adherence, mostly among patients with limited literacy and more complex regimens.Trial Registration (ClinicalTrials.gov): NCT00973180, NCT01200849

\"With the recent explosion of activity and discussion surrounding comics, it seems timely to examine how we might think about the multiple ways in which comics are read and consumed. Graphic Encounters moves beyond seeing the reading of comics as a debased or simplified word-based literacy. Dale Jacobs argues compellingly that we should consider comics as multimodal texts in which meaning is created through linguistic, visual, audio, gestural, and spatial realms in order to achieve effects and meanings that would not be possible in either a strictly print or strictly visual text. Jacobs advances two key ideas: one, that reading comics involves a complex, multimodal literacy and, two, that by studying how comics are used to sponsor multimodal literacy, we can engage more deeply with the ways students encounter and use these and other multimodal texts. Looking at the history of how comics have been used (by churches, schools, and libraries among others) will help us, as literacy teachers, best use that knowledge within our curricula, even as we act as sponsors ourselves\"-- Provided by publisher.

Background Many patient education materials (PEMs) available on the internet are written at high school or college reading levels, rendering them inaccessible to the average US resident, who reads at or below an 8 th grade level. Currently, electronic health record (EHR) providers partner with companies that produce PEMs, allowing clinicians to access PEMs at the point of care. Objective To assess the readability of PEMs provided by a popular EHR vendor as well as the National Library of Medicine (NLM). Design We included PEMs from Micromedex, EBSCO, and MedlinePlus. Micromedex and EBSCO supply PEMs to Meditech, a popular EHR supplier in the US. MedlinePlus supplies the NLM. These PEM databases have high market penetration and accessibility. Measurements Grade reading level of the PEMs was calculated using three validated indices: Simple Measure of Gobbledygook (SMOG), Gunning Fog (GFI), and Flesch–Kincaid (FKI). The percentage of documents above target readability and average readability scores from each database were calculated. Results We randomly sampled 100 disease-matched PEMs from three databases (n = 300 PEMs). Depending on the readability index used, 30-100% of PEMs were written above the 8 th grade level. The average reading level for MedlinePlus, EBSCO, and Micromedex PEMs was 10.2 (1.9), 9.7 (1.3), and 8.6 (0.9), respectively (p ≤ 0.000) as estimated by the GFI. Estimates of readability using SMOG and FKI were similar. Conclusions The majority of PEMS available through the NLM and a popular EHR were written at reading levels considerably higher than that of the average US adult.

The increasing amount of health information available on the internet makes it more important than ever to ensure that people can judge the accuracy of this information to prevent them from harm. It may be possible for platforms to set up protective mechanisms depending on the level of digital health literacy and thereby to decrease the possibility of harm by the misuse of health information. This study aimed to create an instrument for digital health literacy assessment (DHLA) based on the eHealth Literacy Scale (eHEALS) to categorize participants by level of risk of misinterpreting health information into high-, medium-, and low-risk groups. This study developed a DHLA and constructed an online health information bank with correct and incorrect answers. Receiver operating characteristic curve analysis was used to detect the cutoff value of DHLA, using 5 items randomly selected from the online health information bank, to classify users as being at low, medium, or high risk of misjudging health information. This provided information about the relationship between risk group for digital health literacy and accurate judgement of online health information. The study participants were Taiwanese residents aged 20 years and older. Snowball sampling was used, and internet questionnaires were anonymously completed by the participants. The reliability and validity of DHLA were examined. Logistic regression was used to analyze factors associated with risk groups from the DHLA. This study collected 1588 valid questionnaires. The online health information bank included 310 items of health information, which were classified as easy (147 items), moderate (122 items), or difficult (41 items) based on the difficulty of judging their accuracy. The internal consistency of DHLA was satisfactory (α=.87), and factor analysis of construct validity found three factors, accounting for 76.6% of the variance. The receiver operating characteristic curve analysis found 106 people at high risk, 1368 at medium risk, and 114 at low risk of misinterpreting health information. Of the original grouped cases, 89.6% were correctly classified after discriminate analysis. Logistic regression analysis showed that participants with a high risk of misjudging health information had a lower education level, lower income, and poorer health. They also rarely or never browsed the internet. These differences were statistically significant. The DHLA score could distinguish those at low, medium, and high risk of misjudging health information on the internet. Health information platforms on the internet could consider incorporating DHLA to set up a mechanism to protect users from misusing health information and avoid harming their health.

\"This widely adopted text and K-8 practitioner resource demonstrates how successful literacy teachers combine explicit skills instruction with an emphasis on reading for meaning. Distinguished researcher Richard L. Allington builds on the late Michael Pressley's work to explain the theories and findings that guide balanced teaching and illustrate what exemplary lessons look like in action. Detailed examples offer a window into highly motivating classrooms around the country. Comprehensive in scope, the book discusses specific ways to build word recognition, fluency, vocabulary, and comprehension, especially for readers who are struggling. New to This Edition *Updated throughout to reflect important recent research advances. *Chapter summing up the past century's reading debates and the growing acceptance of balanced teaching. *New and revised vignettes of exemplary teachers. Subject Areas/Key Words: balanced instruction, classrooms, comprehension, decoding, elementary reading methods, engagement, exemplary teachers, explicit instruction, fluency, literacy, meaning, motivation, primary grades, reading instruction, skills, strategies, struggling readers, teaching, vocabulary, whole language, word recognition Audience: Teacher educators and graduate students; reading and literacy specialists; K-8 classroom teachers. Serves as a text in such courses as Reading Methods, Elementary Literacy Instruction, Reading Diagnosis and Instruction, and Psychology of Reading. \"-- Provided by publisher.

Lack of knowledge regarding, and the stigma associated with, mental disorders have been identified as major obstacles for the promotion of mental health and early intervention. The present study aimed to evaluate the effectiveness of a school-based intervention program focused on the promotion of mental health literacy (MHL) in young people (“Finding Space for Mental Health”). A sample of 543 students (22 classes), aged between 12 and 14 years old, participated in the study. Each class of students was randomly assigned to the control group (CG; n = 284; 11 classes) or the experimental group (EG; n = 259; 11 classes). MHL was assessed using the Mental Health Literacy questionnaire (MHLq), which is comprised of three dimensions—Knowledge/Stereotypes, First Aid Skills and Help Seeking, and Self-Help Strategies. The scores on these dimensions can also be combined to give an overall or total score. Participants from the EG attended the MHL promotion program (two sessions, 90 min each) delivered at one-week intervals. Sessions followed an interactive methodology, using group dynamics, music, and videos adapted to the target group. All participants responded to the MHLq at three points in time: pre-intervention assessment (one week prior to the intervention), post-intervention assessment (one week after the intervention) and follow-up assessment (six months after the intervention). The intervention effectiveness and the differential impact of sociodemographic variables on the effectiveness of the program were studied using a Generalized Estimation Equation (GEE). Results revealed that participants from the EG demonstrated, on average, significantly higher improvement in MHL from pre-intervention to follow-up when compared to participants from the CG. Different sociodemographic variables affected the effectiveness of the program on distinct dimensions of the MHLq. Overall, “Finding Space for Mental Health” showed efficacy as a short-term promotion program for improving MHL in schools.

Objective: This study aimed to evaluate the effectiveness of a robot‐assisted digital education method in reducing anxiety and promoting healthy behaviors among pregnant women with gestational diabetes mellitus (GDM). Design: A randomized controlled trial was conducted to compare the impact of robot‐assisted health education with conventional video‐based education. Participants: A total of 66 pregnant women from a single hospital were randomly assigned to either the experimental group ( n  = 32) or the control group ( n  = 34). Outcomes: The primary outcome was the reduction of anxiety levels. Secondary outcomes included health education satisfaction, health literacy, and acceptance of technology. Results: The results indicated that the robot‐assisted digital education method significantly reduced anxiety levels among pregnant women. Additionally, participants in the experimental group reported higher satisfaction with health education, improved health literacy, and greater acceptance of technology compared to the control group. Conclusion: This study highlights the potential benefits of integrating robotic technology into health education for pregnant women. In the global information age, the findings provide valuable insights for educators and researchers in medical institutions aiming to enhance long‐term health education through innovative digital tools. Trial Registration: ClinicalTrials.gov identifier: NCT06999421