Dataset Information

The utility of network analysis in the context of Indigenous Australian oral health literacy.

ABSTRACT: BACKGROUND:The study of oral health literacy (OHL) is likely to gain new and interesting insights with the use of network analysis, a powerful analytical tool that allows the investigation of complex systems of relationships. Our aim was to investigate the relationships between oral health literacy and oral health-related factors in a sample of Indigenous Australian adults using a network analysis approach. METHODS:Data from 400 Indigenous Australian adults was used to estimate four regularised partial correlation networks. Initially, a network with the 14 items of the Health Literacy in Dentistry scale (HeLD-14) was estimated. In a second step, psychosocial, sociodemographic and oral health-related factors were included in the network. Finally, two networks were estimated for participants with high and low oral health literacy. Participants were categorised into 'high' or 'low' OHL networks based on a median split. Centrality measures, clustering coefficients, network stability, and edge accuracy were evaluated. A permutation-based test was used to test differences between networks. RESULTS:Solid connections among HeLD-14 items followed the structure of theoretical domains across all networks. Oral health-related self-efficacy, sporting activities, and self-rated oral health status were the strongest positively associated nodes with items of the HeLD-14 scale. HeLD-14 items were the four most central nodes in both HeLD-14 + covariates network and high OHL network, but not in the low OHL network. Differences between high and low OHL models were observed in terms of overall network structure, edge weight, and clustering coefficient. CONCLUSION:Network models captured the dynamic relationships between oral health literacy and psychosocial, sociodemographic and oral health-related factors. Discussion on the implications of these findings for informing the development of targeted interventions to improve oral health literacy is presented.

SUBMITTER: Soares GH

PROVIDER: S-EPMC7269264 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

The utility of network analysis in the context of Indigenous Australian oral health literacy.

Soares Gustavo Hermes GH Santiago Pedro Henrique Ribeiro PHR Michel-Crosato Edgard E Jamieson Lisa L

PloS one 20200603 6

<h4>Background</h4>The study of oral health literacy (OHL) is likely to gain new and interesting insights with the use of network analysis, a powerful analytical tool that allows the investigation of complex systems of relationships. Our aim was to investigate the relationships between oral health literacy and oral health-related factors in a sample of Indigenous Australian adults using a network analysis approach.<h4>Methods</h4>Data from 400 Indigenous Australian adults was used to estimate fo ...[more]

PMID: 32492049

Similar Datasets

Project description:Background:Previous health literacy research has often focused on individual functional health literacy, ignoring the cultural contexts through which many people experience health care. Objective:We aimed to explore the nature of maternal health literacy among ethnic minority women in a low-resource setting in Vietnam. Methods:Using a qualitative approach, we conducted focus groups with 42 pregnant women, mothers, and grandmothers of children younger than age 5 years from the Thai and Hmong ethnic groups. Semi-structured interviews were conducted with key informants and thematic analysis was performed. Key Results:The findings of our thematic analysis aligned well with the concept of distributed health literacy. We found that ethnic minority women drew upon family and social networks of health literacy mediators to share knowledge and understanding, assess and evaluate information, communicate with health professionals, and support decision-making. Family members were also involved in making health decisions that had the potential to negatively affect women and children's health. Conclusions:Family members are an important source of information for ethnic minority women, and they influence decision-making. Relatives and husbands of pregnant women could be included in maternal health education programs to potentially strengthen the health literacy of the whole community. The distributed health literacy concept can be used to strengthen health promotion messages and to reduce the risk of negative health outcomes. [HLRP: Health Literacy Research and Practice. 2019;3(1):e31-e42.]. Plain Language Summary:Distributed health literacy refers to how health literacy skills and practices are distributed through social networks. This concept applies well to the maternal health context in Vietnam. Older women are trusted sources of information, and family influences decision-making during pregnancy. Women's limited autonomy increases the importance of family involvement. Distributed health literacy could be used to strengthen health promotion messages.

Project description:BackgroundHealth literacy is strongly associated with health outcomes and is important for health policy and service delivery. Low health literacy was reported in 59% of Australian adults, however, there is no national data on the health literacy of Aboriginal and Torres Strait Islander (ATSI) peoples. The ATSI population in Australia experience a notable gap in health outcomes compared with non-Indigenous Australians which is due, in part to a higher prevalence of chronic diseases. The health outcome gap is more pronounced in rural and remote locations. This study aims to establish the health literacy profile of ATSI adults with chronic disease living in remote North-West Queensland Australia, and to investigate associations between the Health Literacy Questionnaire (HLQ) domains and self-reported chronic disease and demographic characteristics.MethodsUsing a cross-sectional design, 200 ATSI adults with a diagnosis of chronic disease/s (cardiovascular disease, diabetes, respiratory disease and/or chronic kidney disease) were recruited from two sites with the assistance of Aboriginal Health Workers. Data were collected using the HLQ, a multidimensional 44 item instrument to assess nine domains of health literacy. Demographic and health data were also collected. Analysis of variance using backwards modelling was used to determine predictors of health literacy.ResultsParticipants were mostly male (53.5%) and aged between 19 and 89 years. The most prevalent chronic disease was cardiovascular disease (74%) followed by diabetes (67.5%). More than half (62%) had two or more chronic diseases. There was at least one independent predicator for each of the nine health literacy domains. Age, number of chronic diseases, gender, and level of education were all highly significant predictors of health literacy.ConclusionImproved health literacy will enable individuals to take an active role in their health. Understanding the health literacy of ATSI adults is a crucial first step. Our findings can assist Australian healthcare organisations to review their health literacy responsiveness and examine ways to improve patients' needs and health capabilities to better support people to engage in effective self-management for chronic diseases.

Project description:ObjectiveWorking in partnership with Indigenous communities in South Australia, we aimed to develop, pilot test and estimate utility scores for health states relating to cervical cancer screening, precancer, and invasive cervical cancer and precancer/cancer treatment among Indigenous women.MethodsDevelopment and pilot testing of hypothetical cervical cancer health states, specifically through the lens of being an Indigenous Australian woman, was done with an Indigenous Reference Group in conjunction with five female Indigenous community members. Six health states were developed. These included: (1) Screened: cytology normal; (2) human papillomaviruses (HPV) positive with cytology normal; (3) low grade cytology (LSIL);(4) high grade cytology (HSIL); (5) early stage cervical cancer and; (6) later stage cervical cancer. Utility scores were calculated using a two-stage standard gamble approach among a large cohort of Indigenous Australian women taking part in a broader study involving oral HPV infection. The mean and standard deviation (SD) of the rank, percentage of respondents with a utility = 1 (perfect health) and utility score of each health state was summarised. Mean (SD) and medians and inter-quartile range (IQR) over 12 months and lifetime duration were calculated. Potential differences by age and residential location were assessed using the Wilcox Sum Rank test.ResultsData was obtained from 513 Indigenous women aged 19+ years. Mean utility scores were higher for the four non-cancer health states than for invasive cervical cancer states (p-values <0.05). Lower mean utility scores were observed for late stage cervical cancer, with 0.69 at 12 months and 0.70 for lifetime duration (Intra-class correlation coefficients = 0.425). Higher utility scores were observed for the four non-cancer health states among non-metropolitan participants (ranged from 0.93 to 0.98) compared with metropolitan participants (ranged from 0.86 to 0.93) (p-values<0.05).ConclusionAmong a large cohort of Indigenous Australian women, the reduction in quality of life (which utilities reflect) was perceived to be greater with increasing severity of cervical cancer health states. There were differences observed by geographic location, with positive cervical screening and precursor cancer-related quality of life being much higher among non-metropolitan-dwelling participants. These utility values, from one of the largest such studies ever performed in any population will be uniquely able to inform modelled evaluations of the benefits and costs of cervical cancer prevention interventions in Indigenous women.

Dataset Information

The utility of network analysis in the context of Indigenous Australian oral health literacy.

Publications

The utility of network analysis in the context of Indigenous Australian oral health literacy.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets