Dataset Information

Measuring Digital Vaccine Literacy: Development and Psychometric Assessment of the Digital Vaccine Literacy Scale.

ABSTRACT:

Background

The use of the internet to look for information about vaccines has skyrocketed in the last years, especially with the COVID-19 pandemic. Digital vaccine literacy (DVL) refers to understanding, trust, appraisal, and application of vaccine-related information online.

Objective

This study aims to develop a tool measuring DVL and assess its psychometric properties.

Methods

A 7-item online questionnaire was administered to 848 French adults. Different psychometric analyses were performed, including descriptive statistics, exploratory factor analysis, confirmatory factor analysis, and convergent and discriminant validity.

Results

We developed the 7-item DVL scale composed of 3 factors (understanding and trust official information; understanding and trust information in social media; and appraisal of vaccine information online in terms of evaluation of the information and its application for decision making). The mean DVL score of the baseline sample of 848 participants was 19.5 (SD 2.8) with a range of 7-28. The median score was 20. Scores were significantly different by gender (P=.24), age (P=.03), studying or working in the field of health (P=.01), and receiving regular seasonal flu shots (P=.01).

Conclusions

The DVL tool showed good psychometric proprieties, resulting in a promising measure of DVL.

SUBMITTER: Montagni I

PROVIDER: S-EPMC9798258 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Measuring Digital Vaccine Literacy: Development and Psychometric Assessment of the Digital Vaccine Literacy Scale.

Montagni Ilaria I Pouymayou Aude A Pereira Edwige E Tzourio Christophe C Schück Stéphane S Texier Nathalie N González-Caballero Juan Luis JL

Journal of medical Internet research 20221214 12

<h4>Background</h4>The use of the internet to look for information about vaccines has skyrocketed in the last years, especially with the COVID-19 pandemic. Digital vaccine literacy (DVL) refers to understanding, trust, appraisal, and application of vaccine-related information online.<h4>Objective</h4>This study aims to develop a tool measuring DVL and assess its psychometric properties.<h4>Methods</h4>A 7-item online questionnaire was administered to 848 French adults. Different psychometric ana ...[more]

PMID: 36515982

Similar Datasets

Project description:ObjectiveTo develop the medication literacy scale for patients with hypertension, and to test the reliability and validity of the scale.MethodsThe initial draft of the scale was formulated based on the operationalization of medication literacy with four core elements of knowledge, attitude, skill, and practice, and was developed through procedures of literature review, interviews to hypertensive patients, and research group discussion. Expert panel meeting, interviews, and pre-test on the initial draft of the scale to 10 hypertensive patients, as well as a two iterations of expert feedback were used to form a primary medication literacy scale for pilot investigation and item selection. In this study, 260 patients with hypertension in Changsha city of China were purposively selected to conduct a pilot survey using the primary medication literacy scale. After item selection by a series of statistical analysis method and item re-wording according to patients' feedback, the scale was revised to form a formal investigation scale with four domains and 37 items. A formal investigation was carried out on 650 patients with hypertension selected purposively in a tertiary general hospital and two community health service centers in Changsha city of China. The reliability and validity of the scale were analyzed.ResultsFinally, the formal scale consists of four domains on knowledge, attitude, practice and skills, 11 sub-factors and 37 items in total. The scale-level content validity index (S-CVI/Ave) of this scale was 0.968, and the I-CVI for each item ranged from 0.833 to 1.000, indicating a good and acceptable content and face validity. The Cronbach's α coefficient was 0.849 for the overall scale and ranged from 0.744 to 0.783 for domains. The Pearson's correlation coefficients between domains and the total scale were ranging from 0.530 to 0.799. Besides, the Pearson's correlation coefficient among domains of the scale ranged from 0.157 to 0.439. The Spearman-Brown split-half reliability coefficient was 0.893 for the total scale and ranged from 0.793 to 0.872 for domains. The test-retest reliability coefficient of the total scale was 0.968 and ranged from 0.880 to 0.959 for domains. Four domains of knowledge, attitude, skill, and practice were identified through the exploratory factor analysis and confirmatory factor analysis from each domain. The total explained variation of domains for the overall scale was 51.420%. Eleven sub-factors for domains were extracted through respective exploratory factor analysis from each domain, and the total explained variation of sub-factors for its belonging domain were ranging from 56.111 to 64.419%. The confirmatory factor analysis showed the fit indices of the four-domain model were as follows (χ2/df=2.629, GFI=0.804, AGFI=0.777, RMR=0.012, IFI=0.746, RMSEA=0.066, PNFI=0.599, PCFI=0.689), which indicated an acceptable model fit.ConclusionsThe medication literacy scale for hypertensive patients has good reliability and acceptable validity, which is suitable and acceptable for evaluating the medication literacy level of hypertension patients in China. In the future, further construct and model fit validation and English translation with appropriate adaptation of this whole scale are required, so that this scale can be further validated and applied worldwide.

Project description:BackgroundNew health care services such as smart health care and digital therapeutics have greatly expanded. To effectively use these services, digital health literacy skills, involving the use of digital devices to explore and understand health information, are important. Older adults, requiring consistent health management highlight the need for enhanced digital health literacy skills. To address this issue, it is imperative to develop methods to assess older adults' digital health literacy levels.ObjectiveThis study aimed to develop a tool to measure digital health literacy. To this end, it reviewed existing literature to identify the components of digital health literacy, drafted preliminary items, and developed a scale using a representative sample.MethodsWe conducted a primary survey targeting 600 adults aged 55-75 years and performed an exploratory factor analysis on 74 preliminary items. Items with low factor loadings were removed, and their contents were modified to enhance their validity. Then, we conducted a secondary survey with 400 participants to perform exploratory and confirmatory factor analyses.ResultsA digital health literacy scale consisting of 25 items was developed, comprising 4 subfactors: use of digital devices, understanding health information, use and decision regarding health information, and use intention. The model fit indices indicated excellent structural validity (Tucker-Lewis Index=0.924, comparative fit index=0.916, root-mean-square error of approximation=0.088, standardized root-mean-square residual=0.044). High convergent validity (average variance extracted>0.5) and reliability (composite reliability>0.7) were observed within each factor. Discriminant validity was also confirmed as the square root of the average variance extracted was greater than the correlation coefficients between the factors. This scale demonstrates high reliability and excellent structural validity.ConclusionsThis study is a significant first step toward enhancing digital health literacy among older adults by developing an appropriate tool for measuring digital health literacy. We expect this study to contribute to the future provision of tailored education and treatment based on individual literacy levels.

Project description:BackgroundThere is a need for a validated self-assessment questionnaire for cognitive impairment in subjects reporting subjective tinnitus. The objective was to develop a patient-reported outcome measure.MethodsThis was a prospective, non-interventional, multicultural study. The 30-item "Attention and Performance Self-Assessment Scale" (APSA) was linguistically validated in Germany, Mexico and USA and was analyzed for content and structure. The analysis included descriptive statistics of baseline data, item characteristics, test-retest reliability (intra-class correlation coefficients, ICC), definition of internal consistency (Cronbach' s alpha), and explorative and confirmatory factor analysis to define the structure of the scale. Correlations with various tinnitus scales and subscales from the Hospital Anxiety and Depression Scale (HADS) were done to estimate convergent validity.ResultsThe data for 211 subjects aged 30 through 60 years, (mean= 48.5 years, SD= 8.3) with mild to moderate tinnitus (mean Tinnitus Handicap Inventory-12 (THI-12) total score 11.2, SD= 5.3) were analyzed. The majority of subjects had sub-clinical scores for anxiety and depression (HADS below 11 points). Sequential principal factor analyses of the APSA resulted in a subscale which included 20 (APS20) of the original 30 items and two correlated subscales (AP-F1, AP-F2) defined by 9 items each. Both factor solutions were confirmed by confirmatory factor analysis. Test retest reliability of the APS20, AP-F1 and AP-F2 (ICC ≥ 0.87) and internal consistency (Cronbach's alpha ≥ 0.89) are high. APS20 correlated moderately high with HADS (depression: 0.54; anxiety: 0.62) and THI-12 total (0.52). In a few cases, AP-F2 correlated higher than AP-F1 with other scales (e.g. HADS-depression with AP-F1: only 0.46, but AP-F2: 0.59).ConclusionsAPS20, AP-F1, and AP-F2 have good psychometrical properties. The scales will add value to the assessment of cognitive aspects of quality of life and mental health in the population with subjective tinnitus. The subscales AP-F1 and AP-F2 may be helpful for detecting specific cognitive failures and may be sensitive to different interventional effects.

Project description:BACKGROUND:Care for people with Alzheimer's disease or other dementias should be based on up-to-date clinical practice guidelines. The education and training of nurses and other healthcare staff in dementia is a key factor in providing quality care. Knowledge of Alzheimer's disease can be measured through questionnaires. The aim of this study was to develop and validate a scale to measure Alzheimer's disease knowledge among both nursing staff and students. METHODS:This was a cross-sectional survey study undertaken in three stages: 1) development of the questionnaire and item wording; 2) content validation by an expert panel; 3) questionnaire testing with two samples to establish psychometric properties. Sample 1 comprised 361 Registered Nurses, Assistant Nurses and eldercare workers from 24 nursing homes in Jaén (southern Spain). Sample 2 comprised 297 nursing students. The data were analysed through item analysis and a Rasch model. Convergent and construct validity and internal consistency were also examined. RESULTS:The 23-item UJA Alzheimer's Care Scale shows good outfit and infit values based on the Rasch model. One item presented differential functioning between Registered Nurses and Assistant Nurses. The intraclass correlation coefficient between the UJA Alzheimer's Care Scale and the Spanish version of the Dementia Knowledge Assessment Tool 2 showed strong agreement among nursing staff (0.63) and students (0.79). The scale is able to distinguish between professionals with low or high knowledge of Alzheimer's care. The overall Cronbach's alphas were 0.70 (nursing staff) and 0.82 (nursing students). The intraclass correlation coefficient between the first test and the retest was good (0.84). CONCLUSIONS:The UJA Alzheimer's Care Scale is a useful tool for measuring knowledge of Alzheimer's disease and dementia care among nursing professionals or nursing students. The initial validation study obtained good psychometric properties concerning validity and reliability.

Dataset Information

Measuring Digital Vaccine Literacy: Development and Psychometric Assessment of the Digital Vaccine Literacy Scale.

Background

Objective

Methods

Results

Conclusions

Publications

Measuring Digital Vaccine Literacy: Development and Psychometric Assessment of the Digital Vaccine Literacy Scale.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets