Culture-based Literacy and Aboriginal Health.
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ABSTRACT:
SUBMITTER: Smylie J
PROVIDER: S-EPMC6975592 | biostudies-literature | 2006 May
REPOSITORIES: biostudies-literature
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Project description:BackgroundAboriginal and Torres Strait Islander peoples continue to experience poorer health outcomes than other population groups. While data specific to Indigenous Australians are scarce, a known social health literacy gradient exists linking low health literacy and poor health outcomes within many minority populations. Improving health literacy among Indigenous Australians is an important way to support self-determination and autonomy in both individuals and communities, by enhancing knowledge and improving health outcomes. This review aims to rigorously examine the effectiveness of health literacy interventions targeting Aboriginal and Torres Strait Islander peoples.MethodsA systematic review across six databases (The Cochrane Library, PubMed, Embase, SCOPUS, ProQuest Dissertation and Thesis and Web of Science) was performed for publications evaluating interventions to improve health literacy among Indigenous Australian adults using search terms identifying a range of related outcomes.ResultsOf 824 articles retrieved, a total of five studies met the eligibility criteria and were included in this review. The included studies evaluated the implementation of workshops, structured exercise classes and the provision of discounted fruit and vegetables to improve nutrition, modify risk factors for chronic diseases, and improve oral health literacy. All interventions reported statistically significant improvement in at least one measured outcome. However, there was limited involvement of the Aboriginal and Torres Strait Islander community members in the research process and participant retention rates were sub-optimal.ConclusionThere is limited evidence on interventions to improve health literacy in Indigenous Australian adults. Participation in interventions was often suboptimal and loss to follow-up was high. Future studies co-designed with Aboriginal and Torres Strait Islander community members are needed to improve health literacy in this population.
| S-EPMC7847024 | biostudies-literature
Project description:INTRODUCTION:Health literacy (HL) concerns the knowledge and competences necessary for people to meet complex health demands. The aims of this study are to assess the level of HL in a sample using the Italian version of the Newest Vital Sign and the association of HL and selected antecedents with health outcomes, and to develop and validate the Italian version of the three Brief Health Literacy Screeners, two subjective numeracy items and the short form and the short-short form of the European Health Literacy Survey Questionnaire. METHODS AND ANALYSIS:The study adopts a cross-sectional design and is being conducted in Florence, with information collected through telephone interviews. The population-based sample has been randomly selected using the registries of eight general practitioners (GPs). Based on a power calculation, 480 subjects will be included. Participants have been randomly offered two different questionnaires, each containing different HL measures. Data on sociodemographics and important antecedents and consequences of HL will be collected and the distribution of HL levels calculated. The mediating role of HL will be assessed using Preacher and Hayes' model. To assess the concurrent validity of the HL scales, correlation and receiver operating characteristic analyses will be performed. ETHICS AND DISSEMINATION:The study protocol has been approved by the Ethics Committee of the Area Vasta Centro. Results will be disseminated via scientific journals and conference presentations, and individual data made available to the GPs.
| S-EPMC5695375 | biostudies-other
Project description:BackgroundThe eHealth Literacy Scale (eHEALS) is a tool for the self-assessment of perceived comfort and skills in using the internet as a source for health-related information. Although evidence exists of the reliability and construct and structural validity of the scale, there is a lack of evidence in relation to what is proposed by Norman and Skinner in their theoretical lily model of eHealth literacy; in particular it is not clear whether having a higher level of health literacy can positively influence electronic health (eHealth) literacy as measured by the eHEALS.ObjectiveOur study aim was to assess whether real-life experiences from studying or working in the health field, as a proxy of higher functional health literacy, correlate with self-referred eHealth literacy as measured by the eHEALS.MethodsA Web-based survey was conducted among adults living in Northeast Italy using an Italian version of the eHEALS (IT-eHEALS). In order to be able to measure the effect of higher functional health literacy on eHealth literacy, we divided our sample into two groups, respectively characterized by studying or working experience in the health sector and by lack thereof. Mean differences between eHEALS were calculated using t test and effect size evaluated using Cohen d. To ensure the validity of the IT-eHEALS, we evaluated its psychometric properties (internal consistency and dimensionality) and construct validity (by evaluating its correlation with respondents age, gender, educational attainment, self-rated health, use of internet for health-related purposes, and working status).ResultsA total of 868 respondents that completed the IT-eHEALS were included for analysis, of which 259 had working or studying experience in the health field. Mean (SD) eHEALS total score was 28.2 (6.2) for the whole sample, with statistically significant differences (P<.001) between the two groups, with the higher health literate group scoring significantly better (31.9 (5.9) vs 26.7 (5.6), respectively), with a standardized mean difference (Cohen d) of 0.9. Interestingly, we found a weak, yet significant, correlation between eHealth literacy and respondent characteristics for the higher health literate group only, as measured by positive Spearman correlation coefficients for age (0.11, P=.001), educational attainment (0.19, P=.002) and self-rated health (0.14, P=.024). Also, in line with current literature, correlation of eHEALS score with frequency of internet use for health-related purposes was significant for both groups (0.32, P<.001 and 0.15, P<.001 for higher and lower health literacy group, respectively). In our study we could not find any difference related to gender, while a significant difference for working status was only present when considering the sample as a whole (P=.03).ConclusionsOur study demonstrates a sizeable effect of higher levels of functional health literacy on the eHEALS score, corroborating what was initially proposed by Norman and Skinner in the lily model of eHealth literacy.
| S-EPMC6246968 | biostudies-literature
Project description:BACKGROUND:Aboriginal and Torres Strait Islander people experience a greater burden of disease and die younger than non-Indigenous Australians, with Aboriginal people living in remote areas of the Northern Territory of Australia having the lowest life expectancy estimates. Despite a high burden of chronic disease among Aboriginal and Torres Strait Islander people, access to specialist health services remains low and models of care that increase engagement, may improve health outcomes. METHODS:We describe client and staff perspectives of a model of clinical genetics services provided by the MJD Foundation (MJDF) in geographically and culturally complex contexts within the Northern Territory of Australia. We seek to understand the MJDF model's success in supporting Aboriginal families with the familial, neurodegenerative condition Machado-Joseph disease and how it could be applied in the provision of other specialist services. Thematic analysis was undertaken on semi-structured interviews with primary health care staff (n = 2), Non-Aboriginal MJDF Staff (n = 7) and Aboriginal MJDF Clients / Community workers (n = 13). RESULTS:Four key themes regarding the MJDF model of service delivery were identified with the service being; 1) client led 2) accepting of various understandings of genetic disease causation 3) focused on relationships, continuity and trust between the service provider and the clients, and 4) committed to incorporating an inclusive whole-of-family practice. The MJDF model takes a community-based, person-and family-centred approach to successfully deliver effective specialist genetic health services in remote community settings. We propose that these approaches have broad application in the future design and delivery of specialist health services particularly in culturally complex settings.
| S-EPMC7595342 | biostudies-literature
Project description:Whole exome sequencing (WES) is a popular and successful technology which is widely used in both research and clinical settings. However, there is a paucity of reference data for Aboriginal Australians to underpin the translation of health-based genomic research. Here we provide a catalogue of variants called after sequencing the exomes of 50 Aboriginal individuals from the Northern Territory (NT) of Australia and compare these to 72 previously published exomes from a Western Australian (WA) population of Martu origin. Sequence data for both NT and WA samples were processed using an 'intersect-then-combine' (ITC) approach, using GATK and SAMtools to call variants. A total of 289,829 variants were identified in at least one individual in the NT cohort and 248,374 variants in at least one individual in the WA cohort. Of these, 166,719 variants were present in both cohorts, whilst 123,110 variants were private to the NT cohort and 81,655 were private to the WA cohort. Our data set provides a useful reference point for genomic studies on Aboriginal Australians.
| S-EPMC7190730 | biostudies-literature
Project description:The study aimed to explore the opinions of multi-field Chinese experts on mental health literacy and further build a comprehensive picture of mental health literacy based on these opinions. Semi-structured interviews were conducted with ten Chinese experts from the fields of psychiatry, clinical psychology, mental health education, and social work. A mixed deductive-inductive thematic analysis was used in the analysis of the qualitative data. The experts noted that mental health literacy applies both to persons with mental illness and the people who help them. The comprehensive view of mental health literacy that emerged from the interviews included knowledge about mental illness, an attitude of acceptance, respectful behavior, and recognition of the importance of getting help. Characteristically, Chinese components of mental health literacy included living in harmony with others and achieving balance in all aspects of life. To the best of our knowledge, this is the first qualitative study of experts' views of the concept of mental health literacy in the context of Chinese culture. The experts' responses to the interviews generated a comprehensive view of mental health literacy, including several elements that may be especially salient in Chinese culture. The results have implications for researchers and clinicians.
| S-EPMC7913242 | biostudies-literature
Project description:BackgroundWeb-based resources can support people with bipolar disorder (BD) to improve their knowledge and self-management. However, publicly available resources are heterogeneous in terms of their quality and ease of use. Characterizing digital health literacy (the skillset that enable people to navigate and make use of health information in a web-based context) in BD will support the development of educational resources.ObjectiveThe aim of this study was to develop understanding of digital health literacy and its predictors in people with BD.MethodsA web-based survey was used to explore self-reported digital health literacy (as measured by the e-Health Literacy Scale [eHEALS]) in people with BD. Multiple regression analysis was used to evaluate potential predictors, including demographic/clinical characteristics and technology use.ResultsA total of 919 respondents (77.9% female; mean age 36.9 years) completed the survey. Older age (β=0.09; P=.01), postgraduate education (β=0.11; P=.01), and current use of self-management apps related to BD (β=0.13; P<.001) were associated with higher eHEALS ratings.ConclusionsLevels of self-reported digital health literacy were comparable or higher than other studies in the general population and specific physical/mental health conditions. However, individuals with BD who are younger, have completed less education, or are less familiar with mental health apps may require extra support to safely and productively navigate web-based health resources. Relevant educational initiatives are discussed. Future studies should evaluate skill development interventions for less digitally literate groups.
| S-EPMC8564668 | biostudies-literature
Project description: Not available
| S-EPMC10641569 | biostudies-literature
Project description:Genetic analyses, including genome-wide association studies and whole exome sequencing (WES), provide powerful tools for the analysis of complex and rare genetic diseases. To date there are no reference data for Aboriginal Australians to underpin the translation of health-based genomic research. Here we provide a catalogue of variants called after sequencing the exomes of 72 Aboriginal individuals to a depth of 20X coverage in ?80% of the sequenced nucleotides. We determined 320,976 single nucleotide variants (SNVs) and 47,313 insertions/deletions using the Genome Analysis Toolkit. We had previously genotyped a subset of the Aboriginal individuals (70/72) using the Illumina Omni2.5 BeadChip platform and found ~99% concordance at overlapping sites, which suggests high quality genotyping. Finally, we compared our SNVs to six publicly available variant databases, such as dbSNP and the Exome Sequencing Project, and 70,115 of our SNVs did not overlap any of the single nucleotide polymorphic sites in all the databases. Our data set provides a useful reference point for genomic studies on Aboriginal Australians.
| S-EPMC4828942 | biostudies-literature
Project description:BackgroundThe increasing amount of health information available on the internet makes it more important than ever to ensure that people can judge the accuracy of this information to prevent them from harm. It may be possible for platforms to set up protective mechanisms depending on the level of digital health literacy and thereby to decrease the possibility of harm by the misuse of health information.ObjectiveThis study aimed to create an instrument for digital health literacy assessment (DHLA) based on the eHealth Literacy Scale (eHEALS) to categorize participants by level of risk of misinterpreting health information into high-, medium-, and low-risk groups.MethodsThis study developed a DHLA and constructed an online health information bank with correct and incorrect answers. Receiver operating characteristic curve analysis was used to detect the cutoff value of DHLA, using 5 items randomly selected from the online health information bank, to classify users as being at low, medium, or high risk of misjudging health information. This provided information about the relationship between risk group for digital health literacy and accurate judgement of online health information. The study participants were Taiwanese residents aged 20 years and older. Snowball sampling was used, and internet questionnaires were anonymously completed by the participants. The reliability and validity of DHLA were examined. Logistic regression was used to analyze factors associated with risk groups from the DHLA.ResultsThis study collected 1588 valid questionnaires. The online health information bank included 310 items of health information, which were classified as easy (147 items), moderate (122 items), or difficult (41 items) based on the difficulty of judging their accuracy. The internal consistency of DHLA was satisfactory (α=.87), and factor analysis of construct validity found three factors, accounting for 76.6% of the variance. The receiver operating characteristic curve analysis found 106 people at high risk, 1368 at medium risk, and 114 at low risk of misinterpreting health information. Of the original grouped cases, 89.6% were correctly classified after discriminate analysis. Logistic regression analysis showed that participants with a high risk of misjudging health information had a lower education level, lower income, and poorer health. They also rarely or never browsed the internet. These differences were statistically significant.ConclusionsThe DHLA score could distinguish those at low, medium, and high risk of misjudging health information on the internet. Health information platforms on the internet could consider incorporating DHLA to set up a mechanism to protect users from misusing health information and avoid harming their health.
| S-EPMC7781799 | biostudies-literature