Background: Chronic kidney disease (CKD) is associated with an increased risk of frailty, morbidity, and mortality in older adults. Limited health literacy (HL) is a condition that can cause frailty in CKD. Frailty leads to a decreased resistance to stress situations caused by activities of daily living and increased morbidity and mortality. The aim of this study was to investigate the relationship between HL and frailty in older adults with stage 4-5 CKD.
Methods: A total of 109 patients with stage 4-5CKD were included. All patients underwent a comprehensive geriatric assessment. Health literacy was assessed by the Turkish version of the European Health Literacy Questionnaire. Frailty status was measured using the Fried Frailty Index.
Results: The median age was 72 (68-80) years and 72 patients (66.1%) had lowHL. Forty-six patients (42.2%) were frail, and frailty was more common in the low HL group.
Conclusion: The present study demonstrated that low HL level was common in geriatric patients with stage 4-5 CKD and was associated with frailty, as well as a decrease in daily and instrumental life activities, decrease in acceptance of illness scale, and compliance with medical treatment.
Enhancing patient comprehension of their health is crucial in improving health outcomes. The integration of artificial intelligence (AI) in distilling medical information into a conversational, legible format can potentially enhance health literacy. This review aims to examine the accuracy, reliability, comprehensiveness and readability of medical patient education materials (PEMs) simplified by AI models.
Patients and providers vary in how they describe common otolaryngology-related complaints. These differences can lead to miscommunication and frustration that may affect patient outcomes and satisfaction. The aim of this cross-sectional survey-based study was to explore the differences in migraine symptom selection by otolaryngology patients and clinicians.
Objective: Individuals with Limited English Proficiency (LEP), including Spanish-preferred patients, face healthcare challenges due to language barriers. Despite the potential of digital health technologies to improve access and outcomes, there is a "digital divide" with underutilization among vulnerable populations, including Spanish-speaking LEP individuals, highlighting a need for increased understanding and equitable digital health solutions.
Materials And Methods: A multi-mode, multi-language cross-sectional survey was built based on the Technology Acceptance Model and deployed from a multi-state healthcare practice.
Department of Adult Psychiatry, The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, Guangdong Province, People's Republic of China.
Purpose: Constructing a multiple mediation model based on two mediating variables, social support and self-efficacy, to explore the mechanism of health literacy's effect on decisional conflict in patients with stable schizophrenia.
Patients And Methods: A total of 205 patients with stable schizophrenia who were hospitalized in a psychiatric hospital in Guangdong Province, China, were selected for the study. The All Aspects of Health Literacy Scale (AAHLS), Decisional Conflict Scale (DCS), Social Support Rating Scale (SSRS) and General Self-Efficacy Scale (GSES) were used to evaluate health literacy, decisional conflict, social support and self-efficacy.
Introduction: Vaccine hesitancy among marginalized populations particularly in the Hispanic community over the course of the COVID-19 pandemic has presented as a public health issue. This study examined the relationship between political affiliation and vaccination decisions of Hispanic adults in Pima County, Arizona.
Methods: Between January and October 2022, 623 participants completed surveys in English or Spanish after completing informed consent process.
