Indonesian Student Nurses’ E-Health Literacy Skills

2021 ◽  
Author(s):  
Dame Elysabeth Tarihoran ◽  
Dian Anggraini ◽  
Enni Juliani ◽  
Ressa Ressa ◽  
Ihlus Fardan
Keyword(s):  
Health Literacy ◽  
Nursing Students ◽  
Health Information ◽  
Nursing Student ◽  
Student Nurses ◽  
Cross Sectional Study ◽  
Literacy Skills ◽  
Sectional Study ◽  
Cross Sectional ◽  
Ehealth Literacy

Background: Nurses should have a good level of e-health literacy to help patients utilize e-health information. Objective: To measure e-health literacy skills and contribute factors. Methods: A cross-sectional study of 2209 nursing student in Indonesia (October–November 2019) using eHeals. Result: The overall eHealth literacy was 4 (Scale 1–5). There were statistically significant differences between e-Heals score with contribute factors (<0.001). Conclusion: Indonesian nursing students already have basic necessary skills of e-health.

scholarly journals Simple scoring algorithm to identify community-dwelling older adults with limited health literacy: a cross-sectional study in Taiwan

BMJ Open ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. e045411
Author(s):  
Wen-Hsuan Hou ◽  
Ken N Kuo ◽  
Mu-Jean Chen ◽  
Yao-Mao Chang ◽  
Han-Wei Tsai ◽  
...  
Keyword(s):  
Older Adults ◽  
Health Literacy ◽  
High Risk ◽  
Health Information ◽  
Cross Sectional Study ◽  
Community Dwelling ◽  
Sectional Study ◽  
Cross Sectional ◽  
Scoring Algorithm ◽  
Community Dwelling Older Adults

ObjectiveHealth literacy (HL) is the degree of individuals’ capacity to access, understand, appraise and apply health information and services required to make appropriate health decisions. This study aimed to establish a predictive algorithm for identifying community-dwelling older adults with a high risk of limited HL.DesignA cross-sectional study.SettingFour communities in northern, central and southern Taiwan.ParticipantsA total of 648 older adults were included. Moreover, 85% of the core data set was used to generate the prediction model for the scoring algorithm, and 15% was used to test the fitness of the model.Primary and secondary outcome measuresPearson’s χ2 test and multiple logistic regression were used to identify the significant factors associated with the HL level. An optimal cut-off point for the scoring algorithm was identified on the basis of the maximum sensitivity and specificity.ResultsA total of 350 (54.6%) patients were classified as having limited HL. We identified 24 variables that could significantly differentiate between sufficient and limited HL. Eight factors that could significantly predict limited HL were identified as follows: a socioenvironmental determinant (ie, dominant spoken dialect), a health service use factor (ie, having family doctors), a health cost factor (ie, self-paid vaccination), a heath behaviour factor (ie, searching online health information), two health outcomes (ie, difficulty in performing activities of daily living and requiring assistance while visiting doctors), a participation factor (ie, attending health classes) and an empowerment factor (ie, self-management during illness). The scoring algorithm yielded an area under the curve of 0.71, and an optimal cut-off value of 5 represented moderate sensitivity (62.0%) and satisfactory specificity (76.2%).ConclusionThis simple scoring algorithm can efficiently and effectively identify community-dwelling older adults with a high risk of limited HL.

scholarly journals Nursing students’ understanding of health literacy and health practices: a cross-sectional study at a university in Namibia

BMC Nursing ◽  
2022 ◽  
Vol 21 (1) ◽  
Author(s):  
Takaedza Munangatire ◽  
Nestor Tomas ◽  
Violetha Mareka
Keyword(s):  
Health Literacy ◽  
Nursing Students ◽  
Good Health ◽  
Cross Sectional Study ◽  
Literacy Skills ◽  
Health Practices ◽  
Health Practice ◽  
Cross Sectional ◽  
Concept Of Health ◽  
Literacy Scores

Abstract Background A poor understanding of health literacy and inadequate health practices among nurses can be detrimental to a population’s health. The starting point of solving this problem is through the provision of methodical health literacy and health practice education in the nursing curriculum. This study explored nursing students’ understanding of the concept of ‘health literacy’ and their health practices at a university in Namibia. Methods A descriptive cross-sectional study was carried out among 205 nursing students. A simple stratified sampling method was used and data were collected using a self-reporting Understanding of Health Literacy (UHL) questionnaire. Pearson correlation, independent t-test and One-way ANOVA were used to analyse the data. Results The overall mean Understanding of Health Literacy score was 13.04 ± 1.52. The majority (n = 157; 76.5%) of the students were found to have adequate health literacy scores, 21.5% had moderate health literacy scores, and only 2% had inadequate health literacy scores. The overall mean health practice score was 32.4 ± 5.50. Most (n = 106; 51.7%) of the students were found to have poor health practices, 44.4% had average health practices, and just 3.9% had good health practices. There was no significant relationship between the health literacy levels and health practices of the students (p = 0.63). Conclusions Nursing students have a good understanding of the concept of health literacy, but more effort can be made to translate this understanding into health literacy skills. There is a need to investigate the contributing factors to poor health practices, as well as develop strategies that can support good health practices among nursing students. These health literacy skills could then be transferred into the students' professional careers as nurses.

scholarly journals Health literacy, health empowerment and health information search in the field of MMR vaccination: a cross-sectional study protocol

BMJ Open ◽  
2012 ◽  
Vol 2 (6) ◽  
pp. e002162 ◽  
Author(s):  
Nicola Diviani ◽  
Anne-Linda Camerini ◽  
Danuta Reinholz ◽  
Alessandra Galfetti ◽  
Peter J Schulz
Keyword(s):  
Health Literacy ◽  
Health Information ◽  
Study Protocol ◽  
Information Search ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Health Empowerment

scholarly journals Filipino Nursing Students' eHealth Literacy and Criteria Used for Selection of Health Websites

2020 ◽  
Author(s):  
Ryan Michael Flores Oducado ◽  
Rome B. Moralista
Keyword(s):  
Nursing Education ◽  
Nursing Students ◽  
Health Information ◽  
Health Resources ◽  
Literacy Skills ◽  
Perceived Usefulness ◽  
The Internet ◽  
Cross Sectional ◽  
Ehealth Literacy ◽  
Reported Data

Possessing eHealth literacy skills among students has been increasingly appreciated in nursing education. Despite eHealth literacy has been widely studied, little published research is available regarding Filipino nursing students’ eHealth literacy. This study aimed to determine the self-reported eHealth literacy of Filipino nursing students and the relative importance of the criteria they use when selecting health websites. A cross-sectional research design was used involving 66 conveniently chosen nursing students. Self-reported data were collected using adopted questionnaires. Data were analyzed using descriptive statistics, the Mann-Whitney U test, and Spearman’s rho. Findings revealed that nursing students had high eHealth literacy. The utility of information and accuracy of information were the top criteria students consider important when selecting health websites. There were no significant differences in the eHealth literacy of male and female and first-year and second-year nursing students. The extent of Internet use for health information, perceived usefulness of the Internet when making health decisions, and perceived importance to access health resources on the Internet were significantly correlated with eHealth literacy. To derive full benefit from online health information, nursing students’ literacy needs in the Web context and digital environment must be given attention.

scholarly journals Measuring health literacy combining performance-based and self-assessed measures: the roles of age, educational level and financial resources in predicting health literacy skills. A cross-sectional study conducted in Florence (Italy)

BMJ Open ◽  
2020 ◽  
Vol 10 (10) ◽  
pp. e035987
Author(s):  
Chiara Lorini ◽  
Vieri Lastrucci ◽  
Diana Paolini ◽  
Guglielmo Bonaccorsi
Keyword(s):  
Health Literacy ◽  
Educational Level ◽  
Cross Sectional Study ◽  
Literacy Skills ◽  
Financial Resources ◽  
Psychiatric Disease ◽  
Sectional Study ◽  
Cross Sectional ◽  
Age Class ◽  
Ordinal Logistic Regression Analysis

ObjectiveThe objective was to compare the results of performance-based and self-assessed measures of health literacy (HL) and to evaluate the contribution of their joint use in assessing some HL antecedents.DesignThis was a cross-sectional study.SettingThe study was conducted on the general population in Florence (Italy).ParticipantsThis study is part of a larger one, where participants were randomly selected from the registries of 11 general practitioners working in the municipality of Florence. Inclusion criteria were the following: 18–69 years of age and Italian speaking. Exclusion criteria included cognitive impairment, severe psychiatric disease or end-stage disease. In this paper, 212 adults were included.Outcome measuresHL was measured using the European Health Literacy Survey Questionnaire (HLS-EU-Q16) and the Newest Vital Sign (NVS). The HL levels obtained by means of the two measurement tools were combined into a new variable that described three different levels of HL skills: low HL skills, partial HL skills and high HL skills. Multivariate ordinal logistic regression analysis was performed to assess the predictive roles of age class, educational level and financial resources with respect to HL skills.ResultsTwenty-two per cent of the sample had high HL skills, 28.3% had low HL skills and 49.5% had partial HL skills. Educational level, age class and financial resources were significantly associated with HL skills, with OR values being higher than those obtained using the NVS or the HLS-EU-Q16 individually.ConclusionThe combination of the results obtained using the NVS and the HLS-EU-Q16 improves the understanding of HL. The new variable generated by this combination could be considered as a different way to assess HL and its multidimensional contents.

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