Faculty of Education - Research Publications
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ItemThe feasibility and acceptability of a population-level antenatal risk factor survey: Cross-sectional pilot study(WILEY, 2017-06)AIM: Australian data on the prevalence and distribution of antenatal risk factors are scarce. This study aimed to investigate (i) the feasibility and acceptability of an antenatal risk factor survey collected in public settings and (ii) whether the survey risk factors co-occur with more sensitive risk factors that are privately asked by clinicians. METHODS: Design and setting: study-designed survey linked with clinician-collected risk factors. PARTICIPANTS: pregnant women attending antenatal clinics at two Victorian hospitals. MEASURES: (i) study-designed survey: young pregnancy, no support, poor/fair/good general health, anxious mood, not finishing high school, no income, long-term illness, living without another adult, not employed, never had a job and proxy poverty measures; (ii) Clinician-collected data: smoking, alcohol/marijuana/drug use, domestic violence, social issues, history of mental health problems and depression symptoms. ANALYSES: (i) feasibility and acceptability were assessed through survey completion. Each item was assessed for whether they discriminated risk; dichotomised into risk versus no risk; with a total count calculated. (ii) Co-occurrence was assessed by examining how the risk factor count agreed with clinician-collected items. RESULTS: One hundred and sixty-six of 186 (89%) eligible women completed the survey; 139 of 166 (84%) consented to linking clinician-collected data. The high response and zero missing data demonstrated feasibility and acceptability. Of women with linked data, 92 of 139 (66%) had ≥1 survey risk factor and 30 of 139 (22%) had ≥3; 36 of 139 (26%) had at least one co-occurring clinician-collected risk factor. CONCLUSIONS: This survey provides a simple, rapid approach to gathering antenatal risk data publicly. It may be a helpful addition to clinicians' standard history collection.
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ItemThe Impact of Policy Modifiable Factors on Inequalities in Rates of Child Dental Caries in Australia(MDPI, 2019-06-01)Background: Poor oral health in childhood can lead to adverse impacts later in life. We aimed to estimate the prevalence and population distribution of childhood dental caries in Australia and investigate factors that might ameliorate inequalities. Methods: Data from the nationally representative birth cohort Longitudinal Study of Australian Children (N = 5107), using questions assessing: The experience of dental caries during each biennial follow-up period (2-3 years to 10-11 years), socioeconomic position (SEP), and policy modifiable oral health factors. Results: The odds of dental caries were higher for children with lowest vs. highest SEP (adjusted OR (adjOR) 1.92, 95% CI 1.49-2.46), and lower where water was fluoridated to recommended levels (adjOR 0.53, 95% CI 0.43-0.64). There was no evidence of an association between caries experience and either reported sugary diet or tooth brushing. When SEP and fluoridation were considered in conjunction, compared to the highest SEP group with water fluoridation children in the lowest SEP with fluoridation had adjOR 1.54 for caries, (95% CI 1.14-2.07), and children in the lowest SEP without fluoridation had adjOR 4.06 (95% CI 2.88-5.42). For patterns of service use: The highest SEP group reported a greater percentage of service use in the absence of caries. Conclusions: Dental caries appears prevalent and is socially distributed in Australia. Policy efforts should consider how to ensure that children with dental caries receive adequate prevention and early care with equitable uptake.
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ItemDriving Precision Policy Responses to Child Health and Developmental Inequities(Mary Ann Liebert, 2019-01-01)The growing evidence base on the extent of and opportunities to reduce inequities in children's health and development still lacks the specificity to inform clear policy decisions. A new phase of research is needed that builds on contemporary directions in precision medicine to develop precision policy making; with the aim to redress child inequities. This would include identifying effective interventions and their ideal time point(s), duration, and intensity to maximize impact. Drawing on existing data sources and innovations in epidemiology and biostatistics would be key. The economic and social gains that could be achieved from reducing child inequities are immense.