Explaining variance in self-efficacy among adolescents: the association between mastery experiences, social support, and self-efficacy.

BACKGROUND: Self-efficacy has been identified as an important health-promoting factor for both physical and mental health. Previous studies have examined self-efficacy as a moderating factor between negative psychosocial influences and various outcomes, e.g., life satisfaction and stressors. There is, however, limited knowledge about factors that strengthen self-efficacy. The aim of this study is to examine the association between mastery experiences, social support, and self-efficacy among adolescents in secondary schools in Norway. METHODS: This study is based on cross-sectional data from the Ungdata surveys conducted in eastern part of Norway in 2021. The sample comprises 9,221 adolescents aged 13-16. Sequential multivariate linear regression was conducted to explore the association between mastery experiences, social support, and self-efficacy. RESULTS: The final model (Model 3) explains 25% of the total variance in self-efficacy. The indicators concerning mastery experiences - defined here as the personal experience of success - explain more of the observed variance in self-efficacy than the other independent variables (change in R square = 10.7%). The items 'felt mastering things' 'and 'felt useful' make the strongest and most significant contributions to the variance in self-efficacy in the final model (ß = 0.25, p < 0.001 and ß = 0.16, p < 0.001, respectively), followed by the variables 'support from friends' and 'parental support' (ß = 0.06, p < 0.001 an ß = 0.06, p < 0.001). CONCLUSIONS: Mastery experiences are potential sources for creating and strengthening self-efficacy. Awareness of the health-promoting potential in (strengthening) self-efficacy among adolescents is important. Additional research is needed to further explore these associations.

Developing the HLS19-YP12 for measuring health literacy in young people: a latent trait analysis using Rasch modelling and confirmatory factor analysis.

BACKGROUND: Accurate and precise measures of health literacy (HL) is supportive for health policy making, tailoring health service design, and ensuring equitable access to health services. According to research, valid and reliable unidimensional HL measurement instruments explicitly targeted at young people (YP) are scarce. Thus, this study aims at assessing the psychometric properties of existing unidimensional instruments and developing an HL instrument suitable for YP aged 16-25 years. METHODS: Applying the HLS19-Q47 in computer-assisted telephone interviews, we collected data in a representative sample comprising 890 YP aged 16-25 years in Norway. Applying the partial credit parameterization of the unidimensional Rasch model for polytomous data (PCM) and confirmatory factor analysis (CFA) with categorical variables, we evaluated the psychometric properties of the short versions of the HLS19-Q47; HLS19-Q12, HLS19-SF12, and HLS19-Q12-NO. A new 12-item short version for measuring HL in YP, HLS19-YP12, is suggested. RESULTS: The HLS19-Q12 did not display sufficient fit to the PCM, and the HLS19-SF12 was not sufficiently unidimensional. Relative to the PCM, some items in the HLS19-Q12, the HLS19-SF12, and the HLS19-Q12-NO discriminated poorly between participants at high and at low locations on the underlying latent trait. We observed disordered response categories for some items in the HLS19-Q12 and the HLS19-SF12. A few items in the HLS19-Q12, the HLS19-SF12, and the HLS19-Q12-NO displayed either uniform or non-uniform differential item functioning. Applying one-factorial CFA, none of the aforementioned short versions achieved exact fit in terms of non-significant model chi-square statistic, or approximate fit in terms of SRMR ≤ .080 and all entries ≤ .10 that were observed in the respective residual matrix. The newly suggested parsimonious 12-item scale, HLS19-YP12, displayed sufficiently fit to the PCM and achieved approximate fit using one-factorial CFA. CONCLUSIONS: Compared to other parsimonious 12-item short versions of HLS19-Q47, the HLS19-YP12 has superior psychometric properties and unconditionally proved its unidimensionality. The HLS19-YP12 offers an efficient and much-needed screening tool for use among YP, which is likely a useful application in processes towards the development and evaluation of health policy and public health work, as well as for use in clinical settings.

"Nursing students' experiences with concept cartoons as an active learning strategy for developing conceptual understanding in anatomy and physiology: A mixed-method study".

AIM: The aim of this study was to explore bachelor-level nursing students' experiences with concept cartoons as an active learning strategy and formative assessment to develop conceptual understanding in anatomy and physiology (A&P). BACKGROUND: Many first-year nursing students struggle to understand central concepts in A&P. Concept cartoons-cartoon characters proposing scientifically acceptable statements and misconceptions combined with an illustration-might facilitate active learning in lectures, overcome misconceptions and promote deep learning. Voting on the most precise statement using a student response system gives formative information about the students' conceptual understanding. DESIGN: Parallel mixed methods design with an emphasis on a qualitative approach. METHODS: Nine concept cartoons were developed based on former students' written answers to exam items and applied in lectures at three universities/university colleges. Qualitative data of students' experiences were collected in three focus group interviews during November 2019, one focus group at each of the three universities/university colleges (n = 5, 8 and 8). A short questionnaire was also applied (n = 343) to all students at the three universities/university colleges. Qualitative data were analysed using qualitative content analyses, whereas frequency analysis and Chi-square statistics were applied for the quantitative data. The study was approved by the Norwegian Centre for Research Data, ref. 779586. RESULTS: Qualitative data analysis indicated that the use of concept cartoons addresses different learning styles and could promote deep learning and enhance the environment for learning. The concept cartoons were also seen as valuable for examination preparation. Regarding potential improvements, more information about concept cartoons, how they were developed and how they were supposed to be used would be beneficial, and the cartoons could be used in a more time-efficient manner during lectures. Quantitative data indicated that most of the students thought that concept cartoons were useful and inspiring in learning A&P, and they would recommend further use to increase their understanding of central concepts. There were no significant differences across sex, age, or entrance qualifications when it comes to the benefits of using concept cartoons in learning A&P. Compared to students born in Scandinavia, a larger proportion of students born outside Scandinavia found the use of concept cartoons inspiring for their learning in A&P. CONCLUSIONS: The use of concept cartoons was appreciated by the students to develop a conceptual understanding in A&P. Most students recommended future use. REGISTRATION NUMBER: At point of submission put this on title page Tweetable abstract: Concept cartoons are appreciated as an active learning strategy and formative assessment in developing nursing students' conceptual understanding of anatomy and physiology.

The HLS19-COM-P, a New Instrument for Measuring Communicative Health Literacy in Interaction with Physicians: Development and Validation in Nine European Countries.

BACKGROUND: Sufficient communicative health literacy (COM-HL) is important for patients actively participating in dialogue with physicians, expressing their needs and desires for treatment, and asking clarifying questions. There is a lack of instruments combining communication and HL proficiency. Hence, the aim was to establish an instrument with sufficient psychometric properties for measuring COM-HL. METHODS: The HLS19-COM-P instrument was developed based on a conceptual framework integrating HL with central communicative tasks. Data were collected using different data collection modes in nine countries from December 2019 to January 2021 (n = 18,674). Psychometric properties were assessed using Rasch analysis and confirmatory factor analysis. Cronbach's alpha and Person separation index were considered for reliability. RESULTS: The 11-item version (HLS19-COM-P-Q11) and its short version of six items (HLS19-COM-P-Q6) fit sufficiently the unidimensional partial credit Rasch model, obtained acceptable goodness-of-fit indices and high reliability. Two items tend to under-discriminate. Few items displayed differential item functioning (DIF) across person factors, and there was no consistent pattern in DIF across countries. All items had ordered response categories. CONCLUSIONS: The HLS19-COM-P instrument was well accepted in nine countries, in different data collection modes, and could be used to measure COM-HL.

Using Rasch Analysis to Assess the Psychometric Properties of a Five-Item Version of the General Self-Efficacy Scale in Adolescents.

The aim of the present study was to use Rasch analysis to assess the psychometric properties of the five-item version of the General Self-Efficacy Scale (GSES) amongst adolescents aged 13 to 19. In this cross-sectional study, 6265 adolescents responded to a web-based questionnaire. Data collected from lower and upper secondary schools in Norway, during 2018, were analysed using the partial credit parameterisation of the unidimensional Rasch model. The five-item version of the GSES was found to be unidimensional and to have acceptable reliability. The targeting of the scale could have been better. All items had ordered thresholds, indicating that the response categories worked quite well. The five-item version of the GSES has potential for measuring self-efficacy in a general population of adolescents. In surveys concerning adolescents' mental health, it is important to include aspects of positive mental health and health-promoting factors, such as self-efficacy.

Using the Rasch measurement theory to assess the psychometric properties of the Hopkins Symptom Checklist-10 in adolescents.

BACKGROUND: The Hopkins Symptom Checklist-10 (HSCL-10) is widely used to measure psychological distress in adolescents. To provide valid and reliable results and generate recommendations for practice and policies, instruments with sound psychometric properties are required. The purpose of this study is to use Rasch measurement theory to assess the psychometric properties of the HSCL-10 among adolescents aged 13-19. METHODS: In this cross-sectional study, 6445 adolescents responded to a web-based questionnaire. Data were collected from lower and upper secondary schools in Norway during 2018. The data were analysed using the partial credit parameterisation of the unidimensional Rasch model. RESULTS: HSCL-10 was found to be unidimensional and to have acceptable reliability. One pair of items showed response dependency. The targeting of the instrument could have been better. All items had ordered thresholds. Three items under-discriminated and three displayed differential item functioning regarding gender. CONCLUSIONS: HSCL-10 has potential for measuring psychological distress in adolescents, though there is room for improvement. To further improve this instrument, some items should be rephrased.

Using Rasch measurement theory to assess the psychometric properties of a depressive symptoms scale in Norwegian adolescents.

BACKGROUND: Scales measuring depressive symptoms in adolescents and adults are widely used for epidemiological purposes. The purpose of this study is to use Rasch measurement theory to examine the psychometric properties of a six-item scale intended to measure depressive symptoms in Norwegian adolescents. METHODS: The study is based on cross-sectional data from Ungdata, a survey conducted by the Norwegian Social Research Institute in cooperation with Regional Centres for Drug Rehabilitation in 2017. The target group comprised 13- to 19-years olds in Norway. Six items with four response categories, intended to measure depressive symptoms, were analysed. The analysis focused on invariance, including differential item functioning across gender and school levels. In addition, targeting, possible multidimensionality, response dependency, and the categorisation of the items were analysed. RESULTS: The scale measuring depressive symptoms shows good reliability and, on the whole, the items work well. However, one item, 'had sleep problems', clearly misfit and another, 'worried too much about things', works differently for males and females. CONCLUSIONS: The scale has the potential to measure depressive symptoms in adolescents though there is room for improvement. To further improve the scale, the item concerning sleep problems should be rephrased.

Explaining variance in health literacy among people with type 2 diabetes: the association between health literacy and health behaviour and empowerment.

BACKGROUND: To reflect the health literacy (HL) skills needed for managing type 2 diabetes (T2DM) in everyday life, HL in people with T2DM should be measured from a broader perspective than basic skills, such as proficiency in reading and writing. The HLS-Q12, based on the European Health Literacy Survey Questionnaire (HLS-EU-Q47), assesses four cognitive domains across three health domains. International studies on people with T2DM show inconsistent results regarding the association between HL and general health and the association between HL and glycaemic control. Moreover, knowledge is needed related to the link between HL and empowerment for those with T2DM. The aims of this study were to examine the association between i) HL and general health and diabetes outcomes, ii) HL and health behaviours and iii) HL and empowerment in people with T2DM. METHODS: During March and April 2015, 388 adults with T2DM responded to a paper-and-pencil self-administered questionnaire. A sequential multiple regression analysis was applied to explore the association between HL, as measured by the HLS-Q12, and health conditions, HbA1c, health behaviours and empowerment. RESULTS: For people with T2DM, higher levels of HL were associated with higher levels of education, better overall health conditions and higher self-perceived empowerment. No empirical evidence strengthening either the link between HL and glycaemic control or the link between HL and health behaviours was found. CONCLUSIONS: The independent variables education level, overall health condition and empowerment explained about one-third of the total observed variance in HL.

Validating the Functional, Communicative, and Critical Health Literacy Scale Using Rasch Modeling and Confirmatory Factor Analysis.

BACKGROUND AND PURPOSE: The functional, communicative, and critical health literacy (FCCHL) scale is widely used for assessing health literacy (HL) in people with chronic diseases, such as type 2 diabetes (T2DM). Despite related subscales, researchers continue to apply a consecutive modeling approach, treating the three subscales as independent. This article studies the psychometric characteristics of the FCCHL by applying multidimensional modeling approaches. METHODS: Rasch modeling and confirmatory factor analyses were applied to responses (paper-and-pencil) from 386 adults with T2DM. RESULTS: Using a six-point rating scale and a three-dimensional Rasch model, this study found that a 12-item version of the FCCHL reduced within-item bias and improved subscale reliability indexes. CONCLUSION: This study suggests a parsimonious 12-item version of the FCCHL. The data fit a three-dimensional Rasch model best.

Establishing the HLS-Q12 short version of the European Health Literacy Survey Questionnaire: latent trait analyses applying Rasch modelling and confirmatory factor analysis.

BACKGROUND: The European Health Literacy Survey Questionnaire (HLS-EU-Q47) is widely used in assessing health literacy (HL). There has been some controversy whether the comprehensive HLS-EU-Q47 data, reflecting a conceptual model of four cognitive domains across three health domains (i.e. 12 subscales), fit unidimensional Rasch models. Still, the HLS-EU-Q47 raw score is commonly interpreted as a sufficient statistic. Combining Rasch modelling and confirmatory factor analysis, we reduced the 47 item scale to a parsimonious 12 item scale that meets the assumptions and requirements of objective measurement while offering a clinically feasible HL screening tool. This paper aims at (1) evaluating the psychometric properties of the HLS-EU-Q47 and associated short versions in a large Norwegian sample, and (2) establishing a short version (HLS-Q12) with sufficient psychometric properties. METHODS: Using computer-assisted telephone interviews during November 2014, data were collected from 900 randomly sampled individuals aged 16 and over. The data were analysed using the partial credit parameterization of the unidimensional polytomous Rasch model (PRM) and the 'between-item' multidimensional PRM, and by using one-factorial and multi-factorial confirmatory factor analysis (CFA) with categorical variables. RESULTS: Using likelihood-ratio tests to compare data-model fit for nested models, we found that the observed HLS-EU-Q47 data were more likely under a 12-dimensional Rasch model than under a three- or a one-dimensional Rasch model. Several of the 12 theoretically defined subscales suffered from low reliability owing to few items. Excluding poorly discriminating items, items displaying differential item functioning and redundant items violating the assumption of local independency, a parsimonious 12-item HLS-Q12 scale is suggested. The HLS-Q12 displayed acceptable fit to the unidimensional Rasch model and achieved acceptable goodness-of-fit indexes using CFA. CONCLUSIONS: Unlike the HLS-EU-Q47 data, the parsimonious 12-item version (HLS-Q12) meets the assumptions and the requirements of objective measurement while offering clinically feasible screening without applying advanced psychometric methods on site. To avoid invalid measures of HL using the HLS-EU-Q47, we suggest using the HLS-Q12. Valid measures are particularly important in studies aiming to explain the variance in the latent trait HL, and explore the relation between HL and health outcomes with the purpose of informing policy makers.

Validating the European Health Literacy Survey Questionnaire in people with type 2 diabetes: Latent trait analyses applying multidimensional Rasch modelling and confirmatory factor analysis.

AIM: To validate the European Health Literacy Survey Questionnaire (HLS-EU-Q47) in people with type 2 diabetes mellitus. BACKGROUND: The HLS-EU-Q47 latent variable is outlined in a framework with four cognitive domains integrated in three health domains, implying 12 theoretically defined subscales. Valid and reliable health literacy measurers are crucial to effectively adapt health communication and education to individuals and groups of patients. DESIGN: Cross-sectional study applying confirmatory latent trait analyses. METHODS: Using a paper-and-pencil self-administered approach, 388 adults responded in March 2015. The data were analysed using the Rasch methodology and confirmatory factor analysis. RESULTS: Response violation (response dependency) and trait violation (multidimensionality) of local independence were identified. Fitting the "multidimensional random coefficients multinomial logit" model, 1-, 3- and 12-dimensional Rasch models were applied and compared. Poor model fit and differential item functioning were present in some items, and several subscales suffered from poor targeting and low reliability. Despite multidimensional data, we did not observe any unordered response categories. CONCLUSION: Interpreting the domains as distinct but related latent dimensions, the data fit a 12-dimensional Rasch model and a 12-factor confirmatory factor model best. Therefore, the analyses did not support the estimation of one overall "health literacy score." To support the plausibility of claims based on the HLS-EU score(s), we suggest: removing the health care aspect to reduce the magnitude of multidimensionality; rejecting redundant items to avoid response dependency; adding "harder" items and applying a six-point rating scale to improve subscale targeting and reliability; and revising items to improve model fit and avoid bias owing to person factors.