Comparing the Clique Percolation algorithm to other overlapping community detection algorithms in psychological networks: A Monte Carlo simulation study.

In psychological networks, one limitation of the most used community detection algorithms is that they can only assign each node (symptom) to a unique community, without being able to identify overlapping symptoms. The clique percolation (CP) is an algorithm that identifies overlapping symptoms but its performance has not been evaluated in psychological networks. In this study, we compare the CP with model parameters chosen based on fuzzy modularity (CPMod) with two other alternatives, the ratio of the two largest communities (CPRat), and entropy (CPEnt). We evaluate their performance to: (1) identify the correct number of latent factors (i.e., communities); and (2) identify the observed variables with substantive (and equally sized) cross-loadings (i.e., overlapping symptoms). We carried out simulations under 972 conditions (3x2x2x3x3x3x3): (1) data categories (continuous, polytomous and dichotomous); (2) number of factors (two and four); (3) number of observed variables per factor (four and eight); (4) factor correlations (0.0, 0.5, and 0.7); (5) size of primary factor loadings (0.40, 0.55, and 0.70); (6) proportion of observed variables with substantive cross-loadings (0.0%, 12.5%, and 25.0%); and (7) sample size (300, 500, and 1000). Performance was evaluated through the Omega index, Mean Bias Error (MBE), Mean Absolute Error (MAE), sensitivity, specificity, and mean number of isolated nodes. We also evaluated two other methods, Exploratory Factor Analysis and the Walktrap algorithm modified to consider overlap (EFA-Ov and Walk-Ov, respectively). The Walk-Ov displayed the best performance across most conditions and is the recommended option to identify communities with overlapping symptoms in psychological networks.

Oral Health, Social and Emotional Well-Being, and Economic Costs: Protocol for the Second Australian National Child Oral Health Survey.

BACKGROUND: Given the significant investment of governments and families into the provision of child dental care services in Australia, continued population oral health surveillance through national oral health surveys is imperative. OBJECTIVE: The aims of this study are to conduct a second National Child Oral Health Survey (NCOHS-2) to (1) describe the prevalence, extent, and impact of oral diseases in contemporary Australian children; (2) evaluate changes in the prevalence and extent of oral diseases in the Australian child population and socioeconomic subgroups since the first National Child Oral Health Study (NCOHS-1) in 2012-2013; and (3) use economic modeling to evaluate the burden of child oral disease from the NCOHS-1 and NCOHS-2 and to estimate the cost-effectiveness of targeted programs for high-risk child groups. METHODS: The NCOHS-2 will closely mimic the NCOHS-1 in being a cross-sectional survey of a representative sample of Australian children aged 5-14 years. The survey will comprise oral epidemiological examinations and questionnaires to elucidate associations between dental disease in a range of outcomes, including social and emotional well-being. The information will be analyzed within the context of dental service organization and delivery at national and jurisdictional levels. Information from the NCOHS-1 and NCOHS-2 will be used to simulate oral disease and its economic burden using both health system and household costs of childhood oral health disease. RESULTS: Participant recruitment for the NCOHS-2 will commence in February 2024. The first results are expected to be submitted for publication 6 months after NCOHS-2 data collection has been completed. Thematic workshops with key partners and stakeholders will also occur at this time. CONCLUSIONS: Regular surveillance of child oral health at an Australian level facilitates timely policy and planning of each state and territory's dental public health sector. This is imperative to enable the most equitable distribution of scarce public monies, especially for socially disadvantaged children who bear the greatest dental disease burden. The last NCOHS was conducted in 2012-2014, meaning that these data need to be updated to better inform effective dental health policy and planning. The NCOHS-2 will enable more up-to-date estimates of dental disease prevalence and severity among Australian children, with cost-effective analysis being useful to determine the economic burden of poor child dental health on social and emotional well-being and other health indicators. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/52233.

Development and validation of the COVID-19 Impact Scale in Australia.

OBJECTIVE: The COVID-19 pandemic significantly impacted and continues to impact the health and well-being of Australian adults. However, there has been no instrument validated to comprehensively measure how the COVID-19 pandemic impacted adults in Australia across several domains (e.g. fear of COVID-19, attitudes towards vaccination, psychosocial impact of lockdowns).The current study conducted a rigorous psychometric process to develop and validate an instrument to measure the impact of the COVID-19 pandemic in Australia, the COVID-19 Impact Scale (CIS). METHOD: Data was obtained from the Australian population. Participants (N = 563) aged between 19 and 91 years (M = 54.50, SD = 16.16) provided online responses between June, 2021 and May, 2022. The majority of participants were female (60.9%), employed either full-time (37.7%) or part-time (22.0%), and had completed an undergraduate degree or higher (70.1%). An initial pool of 30 items was developed based on a review of the literature and input from a panel of experts including psychologists, epidemiologists, and public health experts, among others. The study used network psychometrics to examine the psychometric properties of: (1) item score distributions; (2) item redundancy; (3) dimensionality; (4) model fit; (5) measurement invariance; (6) reliability; and (7) criterion validity. RESULTS: Following an evaluation of items for ceiling/floor effects and redundancy, the final CIS network model included eighteen nodes and displayed a three-dimensional structure. The three communities of "Fear" (consisting of three nodes; ω = 0.82), "Attitudes" (consisting of ten nodes; ω = 0.89), and "Ill-being" (consisting of five nodes; ω = 0.79) displayed adequate reliability. The evaluation of model fit indicated a good fit of the network model (RMSEA = 0.047; CFI =0.98). CONCLUSION: The instrument is available to be used by Australian researchers and implemented to evaluate public policies, adapted for future pandemics, or used internationally.

Development of Social Determinants of Health Screening Tool (SDoHST): qualitative validation with stakeholders and patients in South Australia.

BACKGROUND: It is well-established that social determinants of health contribute to health and well-being. Among the social determinants of health, health-related social needs (HRSNs) are unmet needs that can be identified by the health care system and addressed through referral to community services. Despite the importance of identifying patients with HRSNs, none of the few screening tools for HRSNs available internationally have received a comprehensive psychometric validation. This study aims to conduct a qualitative validation of the Social Determinants of Health Screening Tool (SDoHST). METHODS: This study took place at Lyell McEwin Hospital, a major tertiary hospital located in Adelaide, South Australia. Patient (n = 5) and stakeholder (n = 9) focus groups were conducted face to face, audio recorded, and transcribed verbatim. Inductive content analysis of focus group transcripts was performed to inform tool modifications (e.g. item rewording). RESULTS: The patient focus group recommended the addition of an explanatory paragraph to improve face validity, and highlighted the importance of reliable transport and internet access. The stakeholder focus group recommended using language that carries less stigma to this particular community and incorporating questions surrounding cultural, linguistic, and spiritual needs. The final version of the SDoHST included 12 items (four original items were removed and seven new items were added during the validation process). CONCLUSION: The SDoHST is the first validated tool to measure social determinants of health (and specifically HRSNs) in Australia, receiving a comprehensive qualitative validation. The instrument is readily available and future studies will further investigate its psychometric properties with quantitative methods.

A brief guide to screening tools for social determinants of health and their validationThe importance of social context in contributing to overall health is well-established. Social determinants of health (SDoH) are social and environmental factors such as employment, housing security, financial stability, social isolation, and personal safety, which contribute up to 60% of overall health.In recent years, there has been a paradigm shift in how healthcare systems view health and wellbeing. There is a growing call to intervene in adverse SDoH from within the healthcare system. One such intervention involves screening patients for unmet needs, such as housing or food insecurity, and providing appropriate connections to organizations in the community to assist with their needs.The screening tools implemented in this context are multiple and diverse. Some target only one or two factors while others assess multiple SDoH. However, little is reported about the development of these tools. If a screening tool is not thoroughly developed and validated, it is impossible to know whether the data collected with the tool are appropriate or relevant. This study details the development and validation of a screening tool for unmet social needs by community members and healthcare providers at a major metropolitan hospital in South Australia.

A psychometric network perspective to oral health literacy: Examining the replicability of network properties across the general community and older adults from Brazil.

OBJECTIVES: To evaluate the replicability of oral health literacy (OHL) network models across the general community and a sample of older adults from Brazil. METHODS: Data were obtained from two oral health surveys conducted with a total of 1138 participants. OHL was measured using the short form Health Literacy in Dentistry scale (HeLD-14). A regularized partial correlation network was estimated for each sample. Dimensionality and structural stability were examined via exploratory graph analysis. Network properties compared included global strength, edge weights, and centrality estimates. Model replicability was examined fitting the general community model to the older participants' data. RESULTS: Six dimensions with the exact same item composition were detected in both network models. Only the Receptivity domain in the older adults sample yielded low structural stability. Strong correlations were observed between edge weights (τ: 0.68; 95% CI: 0.62-0.74) and between node strength estimates (τ: 0.63; 95% CI: 0.36-0.89). No statistically significant differences were found for global strength. The fit of the older adults sample to the HeLD-14 network structure of the general community sample was satisfactory. CONCLUSION: Network models OHL replicated across the general community and a sample of older adults. The psychometric network approach is a useful tool to evaluate the measurement equivalence of OHL instruments across populations.

Psychometric properties of the EQ-5D-3L in South Australia: a multi-method non-preference-based validation study.

OBJECTIVE: Although HRQoL tools such as the EQ-5D-3L are significant in determining health status, these measures have not been validated in general populations in Australia. This study aims to psychometrically validate the EQ-5D-3L in a large population sample in Australia for the first time. METHODS: The EQ-5D-3L was included in the Dental Care and Oral Health study (DCOHS), conducted in a South Australian population sample. The participants were 23-91 years old, and 44.1% were male. The EQ-5D-3L was responded to on a three-point rating scale ("none"/"no", "some" and "extremely"/"unable"/"confined"). We employed the area under the receiver operating characteristic curve (AUROC) to evaluate whether the EQ-5D-3L total score could identify participants with diagnosed diseases and mental health disorders. Psychometric validation of the EQ-5D-3L investigated dimensionality with Exploratory Graph Analysis, model fit, floor/ceiling effects and criterion validity. RESULTS: The EQ-5D-3L comprised two dimensions, Activities and Symptoms. According to Root Mean Squared Error of Approximation (RMSEA) (<.05) and Comparative Fit Index (CFI) (>.950), the 2-dimensional structure showed excellent model fit with good reliability for the Activities subscale (Ωc = 0.80-95% CI [0.77, 0.83]), and poor reliability for the Symptom subscale (Ωc = 0.56-95% CI [0.53, 0.58]). The EQ-5D-3L showed adequate reliability (Ωc = 0.70-95% CI [0.67, 0.72]). The EQ-5D-3L showed good discrimination for diagnosed diseases (ranging from 64.3% to 86.3%). Floor/ceiling effects were observed across all items. The EQ-5D-3L total score discriminated between respondents who were experiencing health conditions (e.g. cancer, cardiovascular disease, stroke) from healthy individuals. DISCUSSION: Despite the ceiling effects, the EQ-5D-3L displayed good psychometric properties as an HRQoL measure and discriminated between health states in the general South Australian population. Further research should investigate the psychometric properties of the EQ-5D-5L in South Australia and whether an increased number of response categories can mitigate the observed ceiling effects.

Exploratory Graph Analysis of the Strengths and Difficulties Questionnaire in the Longitudinal Study of Australian Children.

In Australia, the Strengths and Difficulties Questionnaire (SDQ) has been implemented in several national studies, including the Longitudinal Study of Australian Children (LSAC). However, three previous state-level validations indicated problems with instrument dimensionality, warranting further research. To address this gap, the current study employed exploratory graph analysis to investigate dimensionality of the caregiver-completed SDQ version 4 to 10 years in a nationally representative sample of Australian children. Data were from a dual cohort cross-sequential study (LSAC) that included more than 20,000 responses. Gaussian graphical models were estimated in each study wave and exploratory graph analysis applied. Structural consistency, item stability and network loadings were evaluated. The findings provided mixed support for the original SDQ five-factor structure. The Peer Problem scale displayed low structural consistency since items clustered with the Emotional Symptoms and Prosocial behavior, generating four-dimensional structures. Implications for future use of the SDQ version 4 to 10 years in Australia are provided.

Dynamics in oral health-related factors of Indigenous Australian children: A network analysis of a randomized controlled trial.

OBJECTIVES: Network analysis is an innovative, analytic approach that enables visual representation of variables as nodes and their corresponding statistical associations as edges. It also provides a new way of framing oral health-related questions as complex systems of variables. We aimed to generate networks of oral health variables using epidemiological data of Indigenous children, and to compare network structures of oral health variables among participants who received immediate or delayed delivery of an oral health intervention. METHODS: Epidemiological data from 448 mother-child dyads enrolled in a randomized controlled trial of dental caries prevention in South Australia, Australia, were obtained. Networks were estimated with nodes representing study variables and edges representing partial correlation coefficients between variables. Data included dental caries, impact on quality of life, self-rated general health, self-rated oral health, dental service utilization, knowledge of oral health, fatalism and self-efficacy in three time points. Communities of nodes, centrality, clustering coefficient and network stability were estimated. RESULTS: The oral health intervention interacted with the network through self-rated general health and knowledge of oral health. Networks depicting groups shortly after receiving the intervention presented higher clustering coefficients and a similar arrangement of nodes. Networks tended to return to a preintervention state. CONCLUSION: The intervention resulted in increased connectivity and changes in the structure of communities of variables in both intervention groups. Our findings contribute to elucidating dynamics between variables depicting oral health networks over time.

Dietary Intake and Anthropometric Measurement at Age 36 Months Among Aboriginal and/or Torres Strait Islander Children in Australia: A Secondary Analysis of the Baby Teeth Talk Randomized Clinical Trial.

Importance: Interventions to reduce early childhood caries should be examined for their effects on anthropometry given their design to improve children's diets. Objective: To compare the outcomes of dietary intake, anthropometric measurements, and blood pressure measurements between children at age 36 months in the immediate intervention group vs those in the delayed intervention group. Design, Setting, and Participants: This secondary analysis was a follow-up to the 2-group Baby Teeth Talk randomized clinical trial conducted across the state of South Australia, Australia. Participants were Aboriginal and/or Torres Strait Islander children and their caregivers who were randomized to the immediate intervention group or delayed intervention group. The intervention was provided from February 1, 2011, to May 31, 2012. The prespecified follow-up when the participating children were aged 36 months was conducted from November 1, 2014, to February 28, 2016, in participant homes or public locations. Data were analyzed from October 5, 2018, to April 29, 2019. Interventions: The immediate intervention group received the intervention during pregnancy and at 6, 12, and 18 months of age. The delayed intervention group received the intervention at 24, 30, and 36 months of age. Both groups received an intervention consisting of free dental care for mothers, fluoride varnish on children's teeth, anticipatory guidance on oral health and dietary advice, and motivational interviewing. Main Outcomes and Measures: Dietary intake was measured with a caregiver-completed, 17-item food frequency questionnaire. Frequency of consumption of discretionary foods and beverages were the main dietary outcomes. Children's weight, height, and mid-upper arm circumference were measured and converted to age- and sex-specific z scores. Body mass index z score was the main anthropometric outcome. Results: A total of 330 children were followed up to age 36 months among the 448 mothers and 454 children who were randomized to the 2 groups. At baseline, the women had a mean (SD) age of 24.9 (5.9) years, and the children had a mean (SD) weight of 3.3 (0.6) kilograms at birth, and 205 were boys (46%); sex was not recorded for 63 children (14%). Diet outcomes were similar between the groups. For example, the mean (SD) intake of discretionary beverages by the immediate intervention group was similar to that by the delayed intervention group (507 [536] mL/d vs 520 [546] mL/d; adjusted mean difference [MD], -16 [95% CI, -133 to 102] mL/d; P = .79). Height was similar between the 2 groups, but the mean (SD) z scores of weight (0.7 [1.0] vs 0.4 [1.0]; adjusted MD, 0.3 [95% CI, 0.1-0.5]; P = .02), arm circumference (1.6 [1.0] vs 1.3 [0.9]; adjusted MD, 0.2 [95% CI, 0.1-0.5]; P = .03), and body mass index (1.1 [1.1] vs 0.9 [0.9]; adjusted MD, 0.2 [95% CI, 0.0-0.4]; P = .04) were higher in the immediate intervention group than the delayed intervention group. Conclusions and Relevance: This study found no differences in dietary intakes between children who received an intervention to reduce dental caries early and those who received it later. At age 36 months, children in the immediate intervention group had greater z scores for weight, arm circumference, and body mass index than their counterparts in the delayed intervention group, suggesting a potential implication of oral health interventions for anthropometric outcomes. Trial Registration: ANZCTR Identifier: ACTRN12611000111976.

Dental Health Inequalities among Indigenous Populations: A Systematic Review and Meta-Analysis.

The aim of this systematic review and meta-analysis was to document the disparity in dental caries experiences among indigenous and nonindigenous populations globally by measuring dental caries prevalence and severity. An electronic database (MEDLINE) was initially searched using relevant keywords. This was followed by use of the search string in the following electronic databases: Scopus, EBSCOhost, Cochrane, and Open Grey. Two independent reviewers conducted the study search and screening, quality assessment, and data extraction, which was facilitated using JBI SUMARI software. The primary outcome was the decayed missing filled teeth (DMFT) score and dental caries prevalence. Subgroup analysis was done by country of publication to identify causes of heterogeneity. Forest plots were used with the standardized mean difference (SMD) and publication bias was assessed using the Egger test with funnel plot construction. For the final review, 43 articles were selected and 34 were meta-analyzed. The pooled mean DMFT for both the permanent dentition (SMD = 0.26; 95% CI 0.13-0.39) and deciduous dentition (SMD = 0.67; 95% CI 0.47-0.87) was higher for the Indigenous population than for the general population. Indigenous populations experienced more decayed teeth (SMD = 0.44; 95% CI 0.25-0.62), a slightly higher number of missing teeth (SMD = 0.11< 95% CI -0.05 to 0.26), and lesser filled teeth (SMD = -0.04; 95% CI -0.20 to 0.13) than their nonindigenous counterparts. The prevalence of dental caries (SMD = 0.27; 95% CI 0.13-0.41) was higher among indigenous people. Globally, indigenous populations have a higher caries prevalence and severity than nonindigenous populations. The factors which have led to such inequities need to be examined.

Psychometric properties of the EQ-5D-5L for aboriginal Australians: a multi-method study.

INTRODUCTION: In Australia, health-related quality of life (HRQoL) instruments have been adopted in national population surveys to inform policy decisions that affect the health of Aboriginal and Torres Strait Islanders. However, Western-developed HRQoL instruments should not be assumed to capture Indigenous conceptualization of health and well-being. In our study, following recommendations for cultural adaptation, an Indigenous Reference Group indicated the EQ-5D-5L as a potentially valid instrument to measure aspects of HRQoL and endorsed further psychometric evaluation. Thus, this study aimed to investigate the construct validity and reliability of the EQ-5D-5L in an Aboriginal Australian population. METHODS: The EQ-5D-5L was applied in a sample of 1012 Aboriginal adults. Dimensionality was evaluated using Exploratory Graph Analysis. The Partial Credit Model was employed to evaluate item performance and adequacy of response categories. Area under the receiver operating characteristic curve (AUROC) was used to investigate discriminant validity regarding chronic pain, general health and experiences of discrimination. RESULTS: The EQ-5D-5L comprised two dimensions, Physiological and Psychological, and reliability was adequate. Performance at an item level was excellent and the EQ-5D-5L individual items displayed good discriminant validity. CONCLUSIONS: The EQ-5D-5L is a suitable instrument to measure five specific aspects (Mobility, Self-Care, Usual activities, Pain/Discomfort, Anxiety/Depression) of Aboriginal and Torres Strait Islander HRQoL. A future research agenda comprises the investigation of other domains of Aboriginal and Torres Strait Islander HRQoL and potential expansions to the instrument.

Validation of a 4-item child perception questionnaire in Australian children.

OBJECTIVE: To develop and validate a 4-item child oral health-related quality of life (OHRQoL) instrument that might be more amenable for uptake in large scale, multifaceted surveys of children's health and wellbeing than current, longer-form child OHRQoL instruments. METHODS: Data were obtained from a study of the South Australian School Dental Service population designed to investigate OHRQoL among school children aged 8-13 years in 2002-2003. The Child Perception Questionnaire (CPQ8-10 and CPQ11-14) was utilised, which comprises 25 & 37 items representing four conceptual domains: oral symptoms, functional limitations, emotional wellbeing and social wellbeing. Initially, the psychometric properties of the short form 8-item CPQ were tested in both age groups using Confirmatory Factor Analysis. The rationale was that, if the 8-item CPQ8-10 and CPQ11-14 did not display good psychometric properties, there was no reason to proceed with further shortening into 4-item versions. Following a good fit of the 8-item CPQ, items with higher factor loadings in each domain were maintained and tested in the development of a 4-item CPQ. Exploratory Factor Analysis was conducted to determine dimensionality, followed by tests for reliability and validity. Model fits were assessed using Root Mean Square Error of Approximation (RMSEA), Comparative Fit Index (CFI) and Standardized Root Mean Square Residual (SRMR). RESULTS: There were 308 children aged 8-10 years who completed CPQ8-10 and 461 children aged 11-13 years who completed CPQ11-14. For the short-form 8-item instrument, satisfactory goodness of fit was demonstrated for the two age groups, with acceptable thresholds for RMSEA, CFI, and SRMR. The four items with the highest factor loading in each domain were the same for the 8-item CPQ8-10 and CPQ11-14. and these items were selected to comprise the 4-item CPQ8-10 and CPQ11-14. The 4-item short form displayed good criterion validity, with expected score patterns found in the majority of the known groups evaluated. CONCLUSIONS: We developed short-form 4-item CPQ8-10 and CPQ11-14 instruments that were tested in a large convenience sample of South Australian school children. The instruments demonstrated acceptable reliability and validity. Implications for practice are discussed.

Prevalence and associated factors with integrative and complementary practices use in Brazil.

The aim of the current study was to investigate the prevalence of the use the integrative and complementary practices (ICP) and its associated factors in Brazil. Data was obtained from the cross-sectional National Health Survey 2013 (NHS), which had 145,580 adults aged 18 or over were interviewed. The outcome was the use of any ICP over the last 12 months and independent variables were macro-region, sex, age, educational attainment, skin color/race, and chronic disease. The results show that the prevalence of ICPs use in Brazil was 4.1%, while the most used types were medicinal plants and phytotherapy (2.5%), acupuncture (0.9%) and homeopathy (0.6%). The prevalence of ICPs use was higher in the North Region, among older people, women, participants with higher educational attainment, and with a higher number of chronic diseases. The findings from the current study provide valuable evidence that can inform future evidence-based public policies in Brazil.

Feasibility evaluation of a mindfulness-based intervention for primary care professionals: Proposal of an evaluative model.

A critical issue in the contemporary field of public health is the organizational stress experienced by healthcare professionals. An integrative and complementary therapy that research has shown as efficacious in helping healthcare professionals to cope with stress is mindfulness meditation. An intervention, however, can't merely be efficacious, it also needs to be feasible to be implemented in a specific political and organizational context. This paper proposes a theoretical logical model and evaluation matrix of the feasibility of a mindfulness-based stress reduction program for primary care professionals. The literature review about the topic was the source for the construction of the theoretical logical model and evaluation matrix, and the validation of those was given by consensus methods, gathering data from experts in the field.