Yoxas/statistical_literacy huggingface dataset:
Health literacy is the degree to which individuals can obtain, process, understand, and communicate health-related information. Health literacy among pregnant women, in particular, may have a significant impact on maternal and child health. In the United Arab Emirates, no previous studies have been carried out to investigate the health literacy levels of pregnant women. This study aimed to investigate antenatal health literacy levels and identify associated factors among pregnant Emirati women in the United Arab Emirates. This analysis was based on the baseline cross-sectional data for pregnant women participating in the prospective cohort Mutaba'ah Study, recruited between May 2017 and August 2022. Participants completed a self-administered questionnaire during their antenatal visits that collected sociodemographic and pregnancy-related information. Adequacy of health literacy was assessed using the BRIEF health literacy screening tool with adequate health literacy defined as a score ⩾ 17. Regression modeling investigated the association between the pregnant women characteristics with having adequate health literacy level (ability to read and comprehend most patient education materials). A total of 2694 responses to the BRIEF health literacy screening tool were analyzed. Approximately, three-quarters (71.6%) of respondents showed adequate health literacy, followed by marginal (22.8%), and limited (5.6%) health literacy levels, respectively. Higher education levels (adjusted odds ratio (aOR) = 1.74, 95% confidence interval = 1.46-2.08), employment (adjusted odds ratio = 1.35, 95% confidence interval = 1.10-1.65), and adequate social support (adjusted odds ratio = 1.69, 95% confidence interval = 1.26-2.28) were associated with adequate health literacy levels. Participants who expressed worry about birth were less likely to have adequate literacy levels (adjusted odds ratio = 0.70, 95% confidence interval = 0.58-0.85). Nearly three-quarters of pregnant women have adequate health literacy. Nevertheless, measures including policies to sustain and enhance health literacy levels among all expectant mothers are required, with a specific focus on those having limited health literacy.
Health literacy is the important for the prevention of non-communicable disease to make informed health decisions, and practice healthy and protective behaviours. Therefore, application of socioecological model to this study aimed to identify multilevel factors on health literacy among patients and develop scientific health communication interventional strategies to improve health literacy on non-communicable disease prevention and care. To explore barriers of health literacy on non-communicable disease prevention and care among patients in north wollo zone public Hospitals, Northeast Ethiopia, 2023. In this study phenomenological study design was conducted from February 5 to 30/2023.We have used purposive sampling technique to select study participants from chronic follow up clinics. Data were collected using in-depth interview and focused group discussion in which audio was recorded, transcribed verbatim and translated to English. Thematic analysis was performed with atlas ti. 7 software. In this study four main themes with seven subthemes were developed. The main themes were factors at the organizational, community, interpersonal, and intra-personal factors. The poor knowledge, lack of enough money for transportation and medication at the hospital were identified as barrier to get early diagnosis and treatment. Some participants explored that they have no any support from family or others. The cultural norms like weeding and funeral ceremonies enforce patients to consume prohibited substances like alcohol and salty foods. In this study different barriers of health literacy were explored. Lack of knowledge, economic problems, lack of social support, poor communication with health care providers, cultural influences, lack of regular health education, lack of access to health care services and poor infrastructure were main barriers of health literacy in patients with NCD. Therefore, we recommended all concerned bodies to work on social and behavioral change communication intervention focusing on awareness creation, supply of drugs and create supportive environment to get accessible and affordable health care service to decrease the impact of non-communicable disease at personal, community and national level.
Health literacy is vital during pregnancy, as maternal health knowledge and behavior have a significant impact on the health of both mother and child. Hence, this study aimed to assess the health literacy status of pregnant women diagnosed with gestational diabetes mellitus (GDM), as well as its associated factors and impact on glycemic control. The facility-based Cross-sectional analytical study was conducted among 200 pregnant women with GDM in a tertiary care hospital. The eligible participants were consecutively selected for the study. The study was conducted from September 2022 to March 2023. A validated semi-structured questionnaire, the Health Literacy Questionnaire (HLQ) for GDM, was used to measure health literacy status. Stata V.17 software was used for data analysis. Out of 200 pregnant women with GDM, the mean (SD) age of the participants is 29.5 (±5.5) years. It was observed that 164 (82%) of the participants had adequate health literacy, whereas 36 (18%) had inadequate health literacy about Gestational Diabetes. Adequate health literacy (HL) was observed among 88.5% of women with controlled blood sugar and 55.1% of women with uncontrolled blood sugar. Results of multivariate logistic regression analysis revealed that pregnant mothers' educational status (PR: 1.8; 95% CI: 1.2-2.5) and glycemic control (PR: 1.4; 95% CI (1.2-1.7) were associated with adequate HL. In conclusion, this study supports the association between adequate HL and glycemic control in pregnant women with GDM. Addressing this gap is essential for healthcare officials and planners to implement programs that promote women's HL during pregnancy, with a focus on low-educated groups.
Health literacy is widely considered to be a determinant of self-care behavior in people with diabetes. However, the mechanisms underlying how health literacy is linked to self-care behaviors have not been clearly elucidated. The aim of the present study was to explore the mediating roles of access to healthcare, provider-patient interaction, motivation, self-efficacy in the effect of health literacy on diabetes self-care behaviors among diabetic patients with physical disabilities and investigate the moderating effect of age in a moderated mediation model. The online survey was participated by a total of 214 diabetic patients with physical disabilities from November to December 2021. The moderated mediation analysis was examined using the Hayes' PROCESS macro modeling tool based on the bias-corrected bootstrapping method. After controlling for education, the results yielded a significant indirect effect of health literacy on diabetes self-care through motivation and self-efficacy. A partially mediating relationship also was confirmed, as there is a positive direct effect of health literacy on diabetes self-care. Furthermore, age groups (i.e., age <40 and ≥ 40) functioned as a moderator of the mediating effects of motivation and self-efficacy between health literacy and diabetes self-care. This study emphasized the important role of motivation and self-efficacy which play in linking health literacy and self-care behavior, especially for younger diabetic patients with physical disabilities. In the light of these findings, a health-literacy tailored motivation and self-efficacy enhancing program may be key targets for interventions promoting diabetes self-care behaviors in people with physical disabilities.
Health literacy measurement is important to improve equity, health and well-being as part of health system transformation. However, health literacy data of good quality are often lacking or difficult to access for decision-makers. To better inform policy, research and practice, this paper discusses how to move from project-based health literacy data and measurement to an integrated system of analytics and insights enhancing data-driven value creation in health-literate organizations. There is a need for the development of health literacy data pipelines, data dashboards, and data governance mechanisms which are timely and trustworthy. Investing in health literacy data analytics and data governance can pave the way for the integration of health literacy as an acknowledged global health indicator in large-scale surveys, ventures, and daily business. Leadership and management buy-in are needed to steer the process. Lessons learned from decades of measurement research combined with strategic implementation of systematic use of health literacy monitoring may accelerate the progress.
Health literacy measurement lays a solid foundation to identify associations with health outcomes and monitor population health literacy levels over time. In mainland China, most existing health literacy instruments are either knowledge-based or practice-based, making health literacy results incomparable between China and other countries. This study aimed to examine the reliability and validity of the 12-item Health Literacy Population Survey (HLS19-Q12) in a general population of Chinese adults. A cross-sectional study was conducted to recruit primary carers of students from 11 schools in Zhengzhou, Henan Province, using convenience cluster sampling. Participants completed an online self-administered survey that collected information on key sociodemographics, health literacy (HLS19-Q12 and a comparison tool: Health Literacy Questionnaire (HLQ)), and health-related outcomes. Using the COnsensus-based Standards for the selection of health status Measurement Instruments (COSMIN) checklist as a guideline, we tested internal consistency, test-retest reliability, content validity, structural validity, concurrent predictive validity, and convergent validity of the HLS19-Q12. Overall, 14,184 participants completed the full survey. The HLS19-Q12 showed excellent internal consistency (Cronbach's α = 0.93), moderate test-retest reliability (intra-class correlation coefficient = 0.54), satisfactory content validity (based on the 12-matrix health literacy model), and strong structural validity (comparative fit index = 0.94, Tucker and Lewis's index of fit = 0.93, root mean square error of approximation = 0.095). Concurrent predictive validity results showed health literacy was associated with both health determinants and health-related outcomes. The HLS19-Q12 had weak to strong correlations (coefficients = 0.24 to 0.42) with the nine scales of the HLQ. Respondents had an average score of 81.6 (± 23.0) when using the HLS19-Q12, with 35.0% and 7.5% having problematic and inadequate levels of health literacy, respectively. The HLS19-Q12 is a reliable and valid instrument to measure health literacy in our sample. Further validation is needed with a more nationally representative sample of Chinese adults. The HLS19-Q12 could be used as a comprehensive, skills-based, and easy-to-administer health literacy assessment tool integrated into population surveys and intervention evaluations.
Health literacy measurement studies are important for the success of health promotion efforts targeting adolescents. However, the majority of health literacy measurement tools were originally developed for adult populations and may not be reflective of health literacy in the context of adolescence. The present study sought to co-design a health literacy questionnaire and vignettes for adolescents in Ireland aged 12-18 years. This article describes the qualitative phase of the study. In 2019-2021, eight adolescents from the Irish Heart Foundation's Youth Advisory Panel participated in two concept mapping workshops during which they defined healthy living. Results of the thematic analysis indicated that adolescents defined 'healthy living' as a life that was balanced, prioritizing mental health and sleep. According to their definition, healthy living was comprised of six main constructs, namely, knowledge; sources of quality health information; facilitators and barriers; influence of others; self-efficacy, self-management and resilience; and citizenship and communication. These constructs were used to develop vignettes and items for the Adolescent Health Literacy Questionnaire (AHLQ). These were tested on a sample of 80 adolescents to check whether the respondents understood the items and vignettes as intended. Results of the nine cognitive interviews indicated that the adolescents understood the content of the 10 vignettes and 41 items. While the vignettes and AHLQ were developed with Irish adolescents, the approaches taken can be generalized to adolescents living in other countries. This will allow for the development of tailored and relevant solutions for health literacy development and health promotion for this sub-population.
Health literacy refers to acquiring and utilizing health information to make health-related actions and decisions. Filipino domestic workers with low health literacy are often vulnerable to health problems due to poor living and working conditions. This study examined the effect of an online health literacy promotion program on health literacy and health knowledge of Filipino domestic workers in Macao. The mixed method combined quantitative findings of a quasi-experimental study with qualitative results applied. The quasi-experiment included three parallel groups: a synchronous online education group (videoconference group), an asynchronous online education group (video group), and a control group. A total of 88 Filipino domestic workers were assigned to one of these groups, and eight respondents participated in two focus-group interviews respectively after the intervention. For quantitative data, both synchronous and asynchronous online education interventions had positive effects. While comparing with the control group, participants in the videoconference group were more likely to have better health promotion health literacy after the intervention (β = 5.36, p = .02), and participants in the video group were more likely to have better general health literacy (β = 5.17, p = .01), disease prevention health literacy (β = 5.31, p = .04), health promotion health literacy (β = 5.97, p = .01). For qualitative data, three themes and eight subthemes were extracted after the online health literacy promotion program. After integrating the findings of this study, the study found that this program was essential and beneficial for Filipino domestic workers' health knowledge and health literacy. Overall, online health literacy promotion programe had positive impacts on participants revealed in this study. Asynchronous online education has made significant progress in overall health literacy, which may be more suitable as a widely promoted education method because of the characteristics and working conditions of this population.
Health literacy refers to the ability of individuals to obtain and understand health information and use it to maintain and promote their own health. This paper manages to make predictions toward its development degree in society with use of a big data-driven statistical learning method. Actually, such results can be analyzed by discovering latent rules from massive public textual contents. As a result, this paper proposes a deep information fusion-based smart prediction approach for health literacy. Specifically, the latent Dirichlet allocation (LDA) and convolutional neural network (CNN) structures are utilized as the basic backbone to understand semantic features of textual contents. The feature learning results of LDA and CNN can be then mapped into prediction results via following multi-dimension computing structures. After constructing the CNN model, we can input health information into the model for feature extraction. The CNN model can automatically learn valuable features from raw health information through multi-layer convolution and pooling operations. These characteristics may include lifestyle habits, physiological indicators, biochemical indicators, etc., reflecting the patient's health status and disease risk. After extracting features, we can train the CNN model through a training set and evaluate the performance of the model using a test set. The goal of this step is to optimize the parameters of the model so that it can accurately predict health information. We can use common evaluation indicators such as accuracy, precision, recall, etc. to evaluate the performance of the model. At last, some simulation experiments are conducted on real-world data collected from famous international universities. The case study analyzes health literacy difference between China of developed countries. Some prediction results can be obtained from the case study. The proposed approach can be proved effective from the discussion of prediction results.
Health literacy refers to the competencies of individuals and the general population to navigate all the areas of health care, making health decisions. Health professionals need a set of skills and information to adapt to people's health literacy. To succeed, it is crucial to determine the health literacy level of a population, in this case, the Portuguese. This study aims to measure the psychometric properties of the Portuguese version of HLS-EU-Q16 and HLS-EU-Q6 from the long form of HLS-EU-Q47, already validated for Portugal. To analyse these results, a comparison was made with the HLS-EU-PT index. Spearman correlation analysis was performed between the single items and scale scores. Cronbach's alphas for all the indexes were calculated. For the statistical analysis, SPSS (version 28.0) was used. Cronbach's alpha coefficient for HLS-EU-PT-Q16 internal consistency was 0.89 overall, and for HLS-EU-PT-Q6 was 0.78 overall. Indexes were not normally distributed, and the Spearman correlation was computed. The correlation between G HL47 and G HL16 indexes was ρ = 0.95 (p < 0.001), and between G HL6 and HLS-EU-PT-Q6 was perfect. The HLS-EU-PT-Q16 and HLS-EU-PT-Q6 are concise and present adequate psychometric properties to measure the HL level of the Portuguese population. However, more similarities are found between the 47-item and the 16-item forms.
Health literacy requires skills of reading, understanding, and analyzing text, numbers, graphs, and diagrams to make well-informed decisions. The increase advancement in technologies has made health information accessible in electronic format. Individuals must apply health literacy in navigating through health information resources on the Internet. Filipino Americans originating from a diverse background are often underreported and underrepresented in health research. The study aim was to examine electronic health literacy among Filipino Americans using the Electronic Health Literacy Scale survey. The descriptive study recruited 103 participants. Overall Filipino Americans are electronic health literate, with a mean of 32.4 ( SD = 4.6). Females ( P = .017), those with graduate or professional degrees ( P = .004) and working in healthcare ( P = .040) tend to have higher electronic health literacy. The study provided valuable insight on electronic health literacy on a population that is underrepresented in research. The descriptive data gained from the study lays foundational work to help decrease health inequities experienced by Filipino Americans.
Health literacy research in Palestine is limited, and a locally validated tool for use among adolescents has been unavailable until now. Therefore, this study aimed to adapt health literacy assessment scale for adolescents (HAS-A) into Arabic language (HAS-A-AR) and Palestinian context and to investigate its psychometric properties. We conducted a cross-sectional household survey using a stratified random sample and household face-to-face interviews. We conducted 1200 interviews with sixth to ninth graders in the Ramallah and al-Bireh district of the West Bank, Palestine in 2017. We translated and adapted HAS-A to be sensitive to the Palestinian context and tested its psychometric properties. We evaluated face and content validity during the back-translation process and checked for construct validity through exploratory factor analysis (EFA). We tested for internal consistency using Cronbach's alpha, MacDonald's omega test and the greatest lower bound (GLB). Furthermore, we calculated the scale's average inter-item correlation. EFA revealed that HAS-A-AR has a similar structure to the original HAS-A. It extracted three factors (communication, confusion and functional health literacy) whose eigenvalues were >1. Together they explained 57% of the total variance. The proportions of adolescents with high levels of communication, confusion and functional health literacy were 45%, 68% and 80%, respectively. Cronbach's alpha, MacDonald's omega and the GLB values for communication subscale were 0.87, 0.88 and 0.90, and they were 0.78, 0.77 and 0.79 for confusion subscale, while they were 0.77, 0.77 and 0.80, respectively, for functional healthy literacy subscale. The average inter-item correlation for the subscales ranged between 0.36 and 0.59. HAS-A-AR is a valid and reliable health literacy measuring instrument with appropriate psychometric properties. HAS-A-AR is currently available for use among adolescents in Palestine and the surrounding Arab countries with similar characteristics as Palestine, including language, culture and political instability.
Health literacy significantly impacts healthcare outcomes, particularly in preoperative settings where patients' understanding of medical procedures, adherence to instructions, and surgical outcomes are influenced. Despite accessibility to medical information, challenges persist in comprehending healthcare details, affecting active patient participation in care. This study aims to assess health literacy among patients attending anesthesia outpatient clinics for preoperative evaluation and analyze associated factors. A sample size of 240 patients was determined using power analysis. The inclusion criteria encompassed informed, consenting patients with adequate mental capacity and primary education, aged 18-65 years, according to the American Society of Anesthesiologists (ASA I-II). Data were collected through a descriptive characteristics form and the Health Literacy Scale (HLS). The mean health literacy score was 29.37±6.22, indicating a moderate level. Marital status, education level, employment status, book reading preference, comorbidities, and reason for clinic visits significantly influenced health literacy (p<0.001). Regression analysis revealed marital status (β=-1.915, p=0.047), employment (β=1.187, p=0.039), and book reading preference (β=3.76, p<0.001) as independent predictors of health literacy. Health literacy levels were associated with various socio-demographic and health-related factors. Notably, being single or divorced, employed, and enjoying reading predicted higher health literacy. This underscores the impact of social support, occupation, and reading habits on health literacy. However, longitudinal studies with objective measures are warranted to further explore these associations. This study underscores the importance of addressing health literacy levels in anesthesia outpatient clinics, highlighting key predictors such as marital status, education, and employment. While contributing to our understanding of preoperative health literacy, further research using longitudinal designs and objective measures is essential. Bridging the health literacy gap is crucial for empowering patients, refining decision-making, and elevating the quality of overall surgical experiences.