The value of maternity care in Queensland, 2012-18, based on an analysis of administrative data: a retrospective observational study.

OBJECTIVE: To quantify the value of maternity health care - the relationship of outcomes to costs - in Queensland during 2012-18. STUDY DESIGN: Retrospective observational study; analysis of Queensland Perinatal Data Collection data linked with the Queensland Health Admitted Patient, Non-Admitted Patient, and Emergency Data Collections, and with the Medicare Benefits Schedule (MBS) and Pharmaceutical Benefits Scheme (PBS) databases. SETTING, PARTICIPANTS: All births in Queensland during 1 July 2012 - 30 June 2018. MAIN OUTCOME MEASURES: Maternity care costs per birth (reported in 2021-22 Australian dollars), both overall and by funder type (public hospital funders, MBS, PBS, private health insurers, out-of-pocket costs); value of care, defined as total cost per positive birth outcome (composite measure). RESULTS: The mean cost per birth (all funders) increased from $20 471 (standard deviation [SD], $17 513) during the second half of 2012 to $30 000 (SD, $22 323) during the first half of 2018; the annual total costs for all births increased from $1.31 billion to $1.84 billion, despite a slight decline in the total number of births. In a mixed effects linear analysis adjusted for demographic, clinical, and birth characteristics, the mean total cost per birth in the second half of 2018 was $9493 higher (99.9% confidence interval, $8930-10 056) than during the first half of 2012. The proportion of births that did not satisfy our criteria for a positive birth outcome increased from 27.1% (8404 births) during the second half of 2012 to 30.5% (9041 births) during the first half of 2018. CONCLUSION: The costs of maternity care have increased in Queensland, and many adverse birth outcomes have become more frequent. Broad clinical collaboration, effective prevention and treatment strategies, as well as maternal health services focused on all dimensions of value, are needed to ensure the quality and viability of maternity care in Australia.

How well do covariates perform when adjusting for sampling bias in online COVID-19 research? Insights from multiverse analyses.

COVID-19 research has relied heavily on convenience-based samples, which-though often necessary-are susceptible to important sampling biases. We begin with a theoretical overview and introduction to the dynamics that underlie sampling bias. We then empirically examine sampling bias in online COVID-19 surveys and evaluate the degree to which common statistical adjustments for demographic covariates successfully attenuate such bias. This registered study analysed responses to identical questions from three convenience and three largely representative samples (total N = 13,731) collected online in Canada within the International COVID-19 Awareness and Responses Evaluation Study ( www.icarestudy.com ). We compared samples on 11 behavioural and psychological outcomes (e.g., adherence to COVID-19 prevention measures, vaccine intentions) across three time points and employed multiverse-style analyses to examine how 512 combinations of demographic covariates (e.g., sex, age, education, income, ethnicity) impacted sampling discrepancies on these outcomes. Significant discrepancies emerged between samples on 73% of outcomes. Participants in the convenience samples held more positive thoughts towards and engaged in more COVID-19 prevention behaviours. Covariates attenuated sampling differences in only 55% of cases and increased differences in 45%. No covariate performed reliably well. Our results suggest that online convenience samples may display more positive dispositions towards COVID-19 prevention behaviours being studied than would samples drawn using more representative means. Adjusting results for demographic covariates frequently increased rather than decreased bias, suggesting that researchers should be cautious when interpreting adjusted findings. Using multiverse-style analyses as extended sensitivity analyses is recommended.

OPTIMISE: a pragmatic stepped wedge cluster randomised trial of an intervention to improve primary care for refugees in Australia.

OBJECTIVES: To examine whether primary care outreach facilitation improves the quality of care for general practice patients from refugee backgrounds. DESIGN: Pragmatic, cluster randomised controlled trial, with stepped wedge allocation to early or late intervention groups. SETTING, PARTICIPANTS: 31 general practices in three metropolitan areas of Sydney and Melbourne with high levels of refugee resettlement, November 2017 - August 2019. INTERVENTION: Trained facilitators made three visits to practices over six months, using structured action plans to help practice teams optimise routines of refugee care. MAJOR OUTCOME MEASURE: Change in proportion of patients from refugee backgrounds with documented health assessments (Medicare billing). Secondary outcomes were refugee status recording, interpreter use, and clinician-perceived difficulty in referring patients to appropriate dental, social, settlement, and mental health services. RESULTS: Our sample comprised 14 633 patients. The intervention was associated with an increase in the proportion of patients with Medicare-billed health assessments during the preceding six months, from 19.1% (95% CI, 18.6-19.5%) to 27.3% (95% CI, 26.7-27.9%; odds ratio, 1.88; 95% CI, 1.42-2.50). The impact of the intervention was greater in smaller practices, practices with larger proportions of patients from refugee backgrounds, recent training in refugee health care, or higher baseline provision of health assessments for such patients. There was no impact on refugee status recording, interpreter use increased modestly, and reported difficulties in refugee-specific referrals to social, settlement and dental services were reduced. CONCLUSIONS: Low intensity practice facilitation may improve some aspects of primary care for people from refugee backgrounds. Facilitators employed by local health services could support integrated approaches to enhancing the quality of primary care for this vulnerable population. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry, ACTRN12618001970235 (retrospective).

Prevalence of psychological distress: How do Australia and Canada compare?

OBJECTIVE: To compare equivalent population-level mental health indicators in Canada and Australia, and articulate recommendations to support equitable mental health services. These are two somewhat similar resource-rich countries characterized by extensive non-metropolitan and rural regions as well as significant areas of socioeconomic deprivation. METHODS: A cross-national epidemiology and equity study: primary outcome was Kessler Psychological Distress Scale (K10) in recent national surveys. A secondary outcome was mental disorders rate since these surveys were 5-years apart. RESULTS: Elevated distress, defined by K10 scores (0-40 range) of 12 and over, affected 11.1% Australians and 12.0% Canadians. Elevated distress in both countries affected more people in the lowest income quintile (21-27%) compared to the richest (6%). In the lowest income quintile, 1-in-4 Australians and 1-in-5 Canadians reported elevated distress - twice the national average in both countries. Australians in the lowest income quintile (over 5 million people) have a significantly higher risk by over a 5% for elevated distress compared to their low-income Canadian counterparts. After adjusting for effects of age and gender, the relative odds in the lowest quintile compared to richest was 6.4 for Australians and 3.5 for Canadians, which remained significantly different thus confirming greater inequity in Australia. Mental disorders affected approximately 1-in-10 people in both countries. CONCLUSIONS: This adds to the mental health prevalence monitoring in these two countries by supporting an overall prevalence of elevated distress in approximately 1-in-10 people. It supports large-scale public health interventions that target elevated distress in people with low incomes to order to achieve the biggest impact, and, to reduce the greater inequity in mental health indicators in Australians, policy-makers should consider eliminating gap-fees as they are illegal in Canada. As encouraged by World Health Organization, we highlight the importance of such population-level studies so that cross-national results can be reliably compared.

A systematic review of studies with a representative sample of refugees and asylum seekers living in the community for participation in mental health research.

BACKGROUND: The aim was to review the literature to identify the most effective methods for creating a representative sample of refugee and asylum seeker groups living in the community to participate in health and mental health survey research. METHODS: A systematic search of academic and grey literature was conducted for relevant literature with 'hidden' groups published between January 1995 and January 2016. The main search used Medline, PsycINFO, EMBASE, CINAHL and SCOPUS electronic databases. Hidden groups were defined as refugees, asylum seekers, stateless persons or hard/difficult to reach populations. A supplementary grey literature search was conducted. Identified articles were rated according to a created graded system of 'level of evidence for a community representative sample' based on key study factors that indicated possible sources of selection bias. Articles were included if they were assessed as having medium or higher evidence for a representative sample. All full-text papers that met the eligibility criteria were examined in detail and relevant data extracted. RESULTS: The searches identified a total of 20 publications for inclusion: 16 peer-reviewed publications and four highly relevant reports. Seventeen studies had sampled refugee and asylum seekers and three other hidden groups. The main search identified 12 (60.0%) and the grey search identified another eight (40.0%) articles. All 20 described sampling techniques for accessing hidden groups for participation in health-related research. Key design considerations were: an a priori aim to recruit a representative sample; a reliable sampling frame; recording of response rates; implementation of long recruitment periods; using multiple non-probability sampling methods; and, if possible, including a probability sampling component. Online social networking sites were used by one study. Engagement with the refugee and asylum seeker group was universally endorsed in the literature as necessary and a variety of additional efforts to do this were reported. CONCLUSIONS: The strategies for increasing the likelihood of a representative sample of this hidden group were identified and will assist researchers when doing future research with refugee groups. These findings encourage more rigorous reporting of future studies so that the representativeness of samples of these groups in research can be more readily assessed.

The mental health status of refugees and asylum seekers attending a refugee health clinic including comparisons with a matched sample of Australian-born residents.

BACKGROUND: The aim of this study was to survey refugees and asylum-seekers attending a Refugee Health Service in Melbourne, Australia to estimate the prevalence of psychiatric disorders based on screening measures and with post-traumatic stress disorder (PTSD) specifically highlighted. A secondary aim was to compare the prevalence findings with Australian-born matched comparators from the 2007 National Survey of Mental Health and Well-Being. METHODS: We conducted a cross-sectional survey of 135 refugees and asylum-seeker participants using instruments including Kessler-10 (K10) and PTSD-8 to obtain estimates of the prevalence of mental disorders. We also performed a comparative analysis using matched sets of one participant and four Australian-born residents, comparing prevalence results with conditional Poisson regression estimated risk ratios (RR). RESULTS: The prevalence of mental illness as measured by K10 was 50.4%, while 22.9% and 31.3% of participants screened positive for PTSD symptoms in the previous month and lifetime, respectively. The matched analysis yielded a risk ratio of 3.16 [95% confidence interval (CI): 2.30, 4.34] for abnormal K10, 2.25 (95% CI: 1.53, 3.29) for PTSD-lifetime and 4.44 (95% CI: 2.64, 7.48) for PTSD-month. CONCLUSIONS: This information on high absolute and relative risk of mental illness substantiate the increased need for mental health screening and care in this and potentially other refugee clinics and should be considered in relation to service planning. While the results cannot be generalised outside this setting, the method may be more broadly applicable, enabling the rapid collection of key information to support service planning for new waves of refugees and asylum-seekers. Matching data with existing national surveys is a useful way to estimate differences between groups at no additional cost, especially when the target group is comparatively small within a population.

The PULSAR Specialist Care protocol: a stepped-wedge cluster randomized control trial of a training intervention for community mental health teams in recovery-oriented practice.

BACKGROUND: Recovery features strongly in Australian mental health policy; however, evidence is limited for the efficacy of recovery-oriented practice at the service level. This paper describes the Principles Unite Local Services Assisting Recovery (PULSAR) Specialist Care trial protocol for a recovery-oriented practice training intervention delivered to specialist mental health services staff. The primary aim is to evaluate whether adult consumers accessing services where staff have received the intervention report superior recovery outcomes compared to adult consumers accessing services where staff have not yet received the intervention. A qualitative sub-study aims to examine staff and consumer views on implementing recovery-oriented practice. A process evaluation sub-study aims to articulate important explanatory variables affecting the interventions rollout and outcomes. METHODS: The mixed methods design incorporates a two-step stepped-wedge cluster randomized controlled trial (cRCT) examining cross-sectional data from three phases, and nested qualitative and process evaluation sub-studies. Participating specialist mental health care services in Melbourne, Victoria are divided into 14 clusters with half randomly allocated to receive the staff training in year one and half in year two. Research participants are consumers aged 18-75 years who attended the cluster within a previous three-month period either at baseline, 12 (step 1) or 24 months (step 2). In the two nested sub-studies, participation extends to cluster staff. The primary outcome is the Questionnaire about the Process of Recovery collected from 756 consumers (252 each at baseline, step 1, step 2). Secondary and other outcomes measuring well-being, service satisfaction and health economic impact are collected from a subset of 252 consumers (63 at baseline; 126 at step 1; 63 at step 2) via interviews. Interview-based longitudinal data are also collected 12 months apart from 88 consumers with a psychotic disorder diagnosis (44 at baseline, step 1; 44 at step 1, step 2). cRCT data will be analyzed using multilevel mixed-effects modelling to account for clustering and some repeated measures, supplemented by thematic analysis of qualitative interview data. The process evaluation will draw on qualitative, quantitative and documentary data. DISCUSSION: Findings will provide an evidence-base for the continued transformation of Australian mental health service frameworks toward recovery. TRIAL REGISTRATION: Australian and New Zealand Clinical Trial Registry: ACTRN12614000957695 . Date registered: 8 September 2014.

Corrigendum to: Socioeconomic status as a factor in Indigenous and non-Indigenous children with hearing loss: analysis of national survey data.

In this paper, the association between socioeconomic status and speech, language and communication outcomes for primary-school-going children with hearing loss using population survey data was analysed. The dataset used for analysis consisted of 289973 children in total, of which 3174 children had hearing loss. For all children, higher socioeconomic status was positively correlated with better speech, language and communication outcomes. A hearing loss was indicated for 1% of non-Indigenous children and 4.3% of Indigenous children. Non-Indigenous children with hearing loss were found to be fairly evenly distributed by socioeconomic status, whereas Indigenous children with hearing loss were found to be statistically significantly more likely to be living in the most disadvantaged socioeconomic areas. Socioeconomic status was found to affect developmental outcomes for all children, regardless of Indigenous and hearing loss status.

Socioeconomic status as a factor in Indigenous and non-Indigenous children with hearing loss: analysis of national survey data.

In this paper, the association between socioeconomic status and speech, language and communication outcomes for primary-school-going children with hearing loss using population survey data was analysed. The dataset used for analysis consisted of 289973 children in total, of which 3174 children had hearing loss. For all children, higher socioeconomic status was positively correlated with better speech, language and communication outcomes. A hearing loss was indicated for 1% of non-Indigenous children and 4.3% of Indigenous children. Non-Indigenous children with hearing loss were found to be fairly evenly distributed by socioeconomic status, whereas Indigenous children with hearing loss were found to be statistically significantly more likely to be living in the most disadvantaged socioeconomic areas. Socioeconomic status was found to affect developmental outcomes for all children, regardless of Indigenous and hearing loss status.

The PULSAR primary care protocol: a stepped-wedge cluster randomized controlled trial to test a training intervention for general practitioners in recovery-oriented practice to optimize personal recovery in adult patients.

BACKGROUND: General practitioners (GPs) in Australia play a central role in the delivery of mental health care. This article describes the PULSAR (Principles Unite Local Services Assisting Recovery) Primary Care protocol, a novel mixed methods evaluation of a training intervention for GPs in recovery-oriented practice. The aim of the intervention is to optimize personal recovery in patients consulting study GPs for mental health issues. METHODS: The intervention mixed methods design involves a stepped-wedge cluster randomized controlled trial testing the outcomes of training in recovery-oriented practice, together with an embedded qualitative study to identify the contextual enablers and challenges to implementing recovery-oriented practice. The project is conducted in Victoria, Australia between 2013 and 2017. Eighteen general practices and community health centers are randomly allocated to one of two steps (nine months apart) to start an intervention comprising GP training in the delivery of recovery-oriented practice. Data collection consists of cross-sectional surveys collected from patients of participating GPs at baseline, and again at the end of Steps 1 and 2. The primary outcome is improvement in personal recovery using responses to the Questionnaire about the Process of Recovery. Secondary outcomes are improvements in patient-rated measures of personal recovery and wellbeing, and of the recovery-oriented practice they have received, using the INSPIRE questionnaire, the Warwick-Edinburgh Mental Well-being Scale, and the Kessler Psychological Distress Scale. Participant data will be analyzed in the group that the cluster was assigned to at each study time point. Another per-protocol dataset will contain all data time-stamped according to the date of intervention received at each cluster site. Qualitative interviews with GPs and patients at three and nine months post-training will investigate experiences and challenges related to implementing recovery-oriented practice in primary care. DISCUSSION: Recovery-oriented practice is gaining increasing prominence in mental health service delivery and the outcomes of such an approach within the primary care sector for the first time will be evaluated in this project. If findings are positive, the intervention has the potential to extend recovery-oriented practice to GPs throughout the community. TRIAL REGISTRATION: Australian and New Zealand Clinical Trial Registry ( ACTRN12614001312639 ). Registered: 8 August 2014.

Mental disorders and distress: Associations with demographics, remoteness and socioeconomic deprivation of area of residence across Australia.

OBJECTIVES: Australian policy-making needs better information on socio-geographical associations with needs for mental health care. We explored two national surveys for information on disparities in rates of mental disorders and psychological distress. METHODS: Secondary data analysis using the 2011/2012 National Health Survey and 2007 National Survey of Mental Health and Wellbeing. Key data were the Kessler 10 scores in adults in the National Health Survey (n = 12,332) and the National Survey of Mental Health and Wellbeing (n = 6558) and interview-assessed disorder rates in the National Survey of Mental Health and Wellbeing. Estimation of prevalence of distress and disorders for sub-populations defined by geographic and socioeconomic status of area was followed by investigation of area effects adjusting for age and gender. RESULTS: Overall, approximately one person in 10 reported recent psychological distress at high/very-high level, this finding varying more than twofold depending on socioeconomic status of area with 16.1%, 13.3%, 12.0%, 8.4% and 6.9% affected in the most to least disadvantaged quintiles, respectively, across Australia in 2011/2012. In the most disadvantaged quintile, the percentage (24.4%) with mental disorders was 50% higher than that in the least disadvantaged quintile (16.9%) in 2007, so this trend was less strong than for Kessler10 distress. CONCLUSION: These results suggest that disparities in mental health status in Australia based on socioeconomic characteristics of area are substantial and persisting. Whether considering 1-year mental disorders or 30-day psychological distress, these occur more commonly in areas with socioeconomic disadvantage. The association is stronger for Kessler10 scores suggesting that Kessler10 scores behaved more like a complex composite indicator of the presence of mental and subthreshold disorders, inadequate treatment and other responses to stressors linked to socioeconomic disadvantage. To reduce the observed disparities, what might be characterised as a 'Whole of Government' approach is needed, addressing elements of socioeconomic disadvantage and the demonstrable and significant inequities in treatment provision.

Mindfulness-based cognitive therapy for recurrent major depression: A 'best buy' for health care?

OBJECTIVE: While mindfulness-based cognitive therapy is effective in reducing depressive relapse/recurrence, relatively little is known about its health economic properties. We describe the health economic properties of mindfulness-based cognitive therapy in relation to its impact on depressive relapse/recurrence over 2 years of follow-up. METHOD: Non-depressed adults with a history of three or more major depressive episodes were randomised to mindfulness-based cognitive therapy + depressive relapse active monitoring (n = 101) or control (depressive relapse active monitoring alone) (n = 102) and followed up for 2 years. Structured self-report instruments for service use and absenteeism provided cost data items for health economic analyses. Treatment utility, expressed as disability-adjusted life years, was calculated by adjusting the number of days an individual was depressed by the relevant International Classification of Diseases 12-month severity of depression disability weight from the Global Burden of Disease 2010. Intention-to-treat analysis assessed the incremental cost-utility ratios of the interventions across mental health care, all of health-care and whole-of-society perspectives. Per protocol and site of usual care subgroup analyses were also conducted. Probabilistic uncertainty analysis was completed using cost-utility acceptability curves. RESULTS: Mindfulness-based cognitive therapy participants had significantly less major depressive episode days compared to controls, as supported by the differential distributions of major depressive episode days (modelled as Poisson, p < 0.001). Average major depressive episode days were consistently less in the mindfulness-based cognitive therapy group compared to controls, e.g., 31 and 55 days, respectively. From a whole-of-society perspective, analyses of patients receiving usual care from all sectors of the health-care system demonstrated dominance (reduced costs, demonstrable health gains). From a mental health-care perspective, the incremental gain per disability-adjusted life year for mindfulness-based cognitive therapy was AUD83,744 net benefit, with an overall annual cost saving of AUD143,511 for people in specialist care. CONCLUSION: Mindfulness-based cognitive therapy demonstrated very good health economic properties lending weight to the consideration of mindfulness-based cognitive therapy provision as a good buy within health-care delivery.

Better access to mental health care and the failure of the Medicare principle of universality.

OBJECTIVES: To examine whether adult use of mental health services subsidised by Medicare varies by measures of socioeconomic and geographic disadvantage in Australia. DESIGN, SETTING AND PARTICIPANTS: A secondary analysis of national Medicare data from 1 July 2007 to 30 June 2011 for all mental health services subsidised by Better Access to Mental Health Care (Better Access) and Medicare - providers included general practitioners, psychiatrists, clinical psychologists and mental health allied health practitioners. MAIN OUTCOME MEASURES: Service use rates followed by measurement of inequity using the concentration curve and concentration index. RESULTS: Increasing remoteness was consistently associated with lower service activity; eg, per 1000 population, the annual rate of use of GP items was 79 in major cities and 25 and 8 in remote and very remote areas, respectively. Apart from GP usage, higher socioeconomic disadvantage in areas was typically associated with lower usage; eg, per 1000 population per year, clinical psychologist consultations were 68, 40 and 23 in the highest, middle and lowest advantaged quintiles, respectively; and non-Better Access psychiatry items were 117, 55 and 45 in the highest, middle and lowest advantaged quintiles, respectively. CONCLUSIONS: Our results highlight important socioeconomic and geographical disparities associated with the use of Better Access and related Medicare services. This can inform Australia's policymakers about these priority gaps and help to stimulate targeted strategies both nationally and regionally that work towards the universal and equitable delivery of mental health care for all Australians.

Emergency department mental health presentations by people born in refugee source countries: an epidemiological logistic regression study in a Medicare Local region in Australia.

This study investigated if people born in refugee source countries are disproportionately represented among those receiving a diagnosis of mental illness within emergency departments (EDs). The setting was the Cities of Greater Dandenong and Casey, the resettlement region for one-twelfth of Australia's refugees. An epidemiological, secondary data analysis compared mental illness diagnoses received in EDs by refugee and non-refugee populations. Data was the Victorian Emergency Minimum Dataset in the 2008-09 financial year. Univariate and multivariate logistic regression created predictive models for mental illness using five variables: age, sex, refugee background, interpreter use and preferred language. Collinearity, model fit and model stability were examined. Multivariate analysis showed age and sex to be the only significant risk factors for mental illness diagnosis in EDs. 'Refugee status', 'interpreter use' and 'preferred language' were not associatedwith a mental health diagnosis following risk adjustment forthe effects ofage and sex. The disappearance ofthe univariate association after adjustment for age and sex is a salutary lesson for Medicare Locals and other health planners regarding the importance of adjusting analyses of health service data for demographic characteristics.

A cross-sectional survey of the mental health needs of refugees and asylum seekers attending a refugee health clinic: a study protocol for using research to inform local service delivery.

BACKGROUND: Refugees and asylum seekers have high rates of risk factors for mental disorders. In recent years, Australia has experienced a rapid increase in asylum seeker arrivals, creating new challenges for services in areas with high settlement numbers. This paper describes the design, including analytic framework, of a project set in a refugee health service in the state of Victoria, Australia, as part of their response to meeting the mental health needs of their burgeoning local population of refugees and asylum seekers. In order to assist service planning, the primary aim of this study is to determine: 1) an overall estimate of the prevalence of psychiatric disorders; 2) the specific prevalence of post-traumatic stress disorder 3) the perceived need and unmet need for mental health treatment. The secondary aim of the study is to establish matched risk ratios based on an Australian-born matched comparison group from the 2007 National Survey of Mental Health and Well-Being. METHODS/DESIGN: A cross-sectional survey is used to estimate the prevalence of psychiatric disorders in refugees and asylum seekers attending a local refugee health service. Measures include the Kessler Psychological Distress Scale-10, the Post-Traumatic Stress Disorder-8, the General-practice User's Perceived-need Inventory together with service utilisation questions from the National Survey of Mental Health and Well-Being. Data collected from refugees and asylum seekers (n = 130) is matched to existing data from Australian-born residents drawn from the 2007 National Survey of Mental Health and Well-Being (n = 520) to produce estimates of the risk ratio. DISCUSSION: The paper describes a prototype for what is possible within regular services seeking to plan for and deliver high quality mental health care to refugees and asylum seekers. A novel project output will be the development and dissemination of an epidemiological methodology to reliably compare mental health status in a relatively small target sample with a matched comparator group.

Mindfulness-based cognitive therapy for recurrent depression: A translational research study with 2-year follow-up.

OBJECTIVE: While mindfulness-based cognitive therapy (MBCT) has demonstrated efficacy in reducing depressive relapse/recurrence over 12-18 months, questions remain around effectiveness, longer-term outcomes, and suitability in combination with medication. The aim of this study was to investigate within a pragmatic study design the effectiveness of MBCT on depressive relapse/recurrence over 2 years of follow-up. METHOD: This was a prospective, multi-site, single-blind trial based in Melbourne and the regional city of Geelong, Australia. Non-depressed adults with a history of three or more episodes of depression were randomised to MBCT + depression relapse active monitoring (DRAM) (n=101) or control (DRAM alone) (n=102). Randomisation was stratified by medication (prescribed antidepressants and/or mood stabilisers: yes/no), site of usual care (primary or specialist), diagnosis (bipolar disorder: yes/no) and sex. Relapse/recurrence of major depression was assessed over 2 years using the Composite International Diagnostic Interview 2.1. RESULTS: The average number of days with major depression was 65 for MBCT participants and 112 for controls, significant with repeated-measures ANOVA (F(1, 164)=4.56, p=0.03). Proportionally fewer MBCT participants relapsed in both year 1 and year 2 compared to controls (odds ratio 0.45, p<0.05). Kaplan-Meier survival analysis for time to first depressive episode was non-significant, although trends favouring the MBCT group were suggested. Subgroup analyses supported the effectiveness of MBCT for people receiving usual care in a specialist setting and for people taking antidepressant/mood stabiliser medication. CONCLUSIONS: This work in a pragmatic design with an active control condition supports the effectiveness of MBCT in something closer to implementation in routine practice than has been studied hitherto. As expected in this translational research design, observed effects were less strong than in some previous efficacy studies but appreciable and significant differences in outcome were detected. MBCT is most clearly demonstrated as effective for people receiving specialist care and seems to work well combined with antidepressants.

Trends and determinants of mental illness in humanitarian migrants resettled in Australia: Analysis of longitudinal data.

Given the frequent exposure of humanitarian migrants to traumatic or stressful circumstances, there exists a potential predisposition to mental illness. Our objective was to pinpoint the trends and determinants of mental illness among humanitarian migrants resettled in Australia. This study considered five waves of longitudinal data involving humanitarian migrants resettled in Australia. Post-traumatic stress disorder (PTSD) and psychological distress were assessed using PTSD-8 and Kessler-6 screening tools. Through a Generalised Linear Mixed model (GLMM), variables displaying a 95% CI that excluded the value of 1.0 for the odds ratio were identified as associated factors for both PTSD and elevated psychological distress. The selection of multivariable covariates was guided by causal loop diagrams and least absolute shrinkage and selection operators methods. At baseline, there were 2399 humanitarian migrants with 1881 retained and at the fifth yearly wave; the response rate was 78.4%. PTSD prevalence decreased from 33.3% (95% CI: 31.4-35.3) at baseline to 28.3% (95% CI: 26.2-30.5) at year 5. Elevated psychological distress persisted across all waves: 17.1% (95% CI: 15.5-18.6) at baseline and 17.1% (95% CI: 15.3-18.9) at year 5. Across the five waves, 34.0% of humanitarian migrants met screening criteria for mental illness, either PTSD or elevated psychological distress. In the multivariate model, factors associated with PTSD were loneliness (AOR 1.5, 95% CI: 1.3-1.8), discrimination (AOR 1.6: 1.2-2.1), temporary housing contract (AOR 3.7: 2.1-6.7), financial hardship (AOR 2.2:1.4-3.6) and chronic health conditions (AOR 1.3: 1.1-1.5), whereas the associated factors for elevated psychological distress were loneliness (AOR 1.8: 1.5-2.2), discrimination (AOR 1.7: 1.3-2.2) and short-term lease housing (AOR 1.6: 1.0-1.7). The prevalence, persistence and consequential burden of mental illness within this demographic underscore the urgent need for targeted social and healthcare policies. These policies should aim to mitigate modifiable risk factors, thereby alleviating the significant impact of mental health challenges on this population.

Impact on diabetes management of General Practice Management Plans, Team Care Arrangements and reviews.

OBJECTIVES: To investigate whether General Practice Management Plans (GPMPs), Team Care Arrangements (TCAs) and reviews of these improve the management and outcomes of patients with diabetes when supported by cdmNet, a web-based chronic disease management system; and to investigate adherence to the annual cycle of care (ACOC), as recommended in diabetes guidelines. DESIGN, PARTICIPANTS AND SETTING: A before-and-after study to analyse prospectively collected data on 577 patients with type 1 or 2 diabetes mellitus who were managed with a GPMP created using cdmNet between June 2008 and November 2012. MAIN OUTCOME MEASURES: Completion of the clinical tests in the ACOC (process outcome) and values of six of these clinical measurements (clinical outcomes). RESULTS: Significant improvements were seen after creation of a GPMP in the proportion of ACOC clinical tests completed (57.9% v 74.8%, P < 0.001), total cholesterol level (P < 0.01), low-density lipoprotein (LDL) cholesterol level (P < 0.001) and body mass index (BMI) (P < 0.01). Patients using GPMPs and TCAs also improved their glycated haemoglobin (HbA1c) level (P < 0.05). Patients followed up with irregular reviews had significant improvements in the proportion of ACOC clinical tests completed (59.2% v 77.6%, P < 0.001), total cholesterol level (P < 0.05), and BMI (P < 0.01), but patients with regular reviews had greater improvements in the proportion of ACOC clinical tests completed (58.9% v 85.0%, P < 0.001), HbA(1c) level (57.7 v 53.0 mmol/mol, P < 0.05), total cholesterol level (4.8 v 4.5 mmol/L, P < 0.05), LDL cholesterol level (2.8 v 2.4 mmol/L, P < 0.01) and diastolic blood pressure (76.0 v 74.0 mmHg, P < 0.05). CONCLUSION: There were significant improvements in process and clinical outcomes for patients on a GPMP or a GPMP and TCA, particularly when these were followed up by regular reviews. Patients using cdmNet were four times more likely to have their GPMP or TCA followed up through regular reviews than the national average.

Temporal validation and updating of a prediction model for the diagnosis of gestational diabetes mellitus.

OBJECTIVE: The original Monash gestational diabetes mellitus (GDM) risk prediction in early pregnancy model is internationally externally validated and clinically implemented. We temporally validate and update this model in a contemporary population with a universal screening context and revised diagnostic criteria and ethnicity categories, thereby improving model performance and generalizability. STUDY DESIGN AND SETTING: The updating dataset comprised of routinely collected health data for singleton pregnancies delivered in Melbourne, Australia from 2016 to 2018. Model predictors included age, body mass index, ethnicity, diabetes family history, GDM history, and poor obstetric outcome history. Model updating methods were recalibration-in-the-large (Model A), intercept and slope re-estimation (Model B), and coefficient revision using logistic regression (Model C1, original ethnicity categories; Model C2, revised ethnicity categories). Analysis included 10-fold cross-validation, assessment of performance measures (c-statistic, calibration-in-the-large, calibration slope, and expected-observed ratio), and a closed-loop testing procedure to compare models' log-likelihood and akaike information criterion scores. RESULTS: In 26,474 singleton pregnancies (4,756, 18% with GDM), the original model demonstrated reasonable temporal validation (c-statistic = 0.698) but suboptimal calibration (expected-observed ratio = 0.485). Updated model C2 was preferred, with a high c-statistic (0.732) and significantly better performance in closed testing. CONCLUSION: We demonstrated updating methods to sustain predictive performance in a contemporary population, highlighting the value and versatility of prediction models for guiding risk-stratified GDM care.

Preconception care in sub-Saharan Africa: A systematic review and meta-analysis on the prevalence and its correlation with knowledge level among women in the reproductive age group.

Objective: Preconception care is aimed to promote optimal health in women before conception to reduce or prevent poor pregnancy outcomes. Although there are several published primary studies from sub-Saharan African countries on preconception care, they need to quantify the extent of preconception care utilization, the knowledge level about preconception care, and the association among women in the reproductive age group in this region. This systematic review and meta-analysis aimed to estimate the pooled utilization of preconception care, pooled knowledge level about preconception care, and their association among women in the reproductive age group in sub-Saharan Africa. Methods: Databases including PubMed, Science Direct, Hinari, Google Scholar, and Cochrane library were systematically searched for relevant literature. Additionally, the references of included articles were checked for additional possible sources. The Cochrane Q test statistics and I 2 tests were used to assess the heterogeneity of the included studies. A random-effect meta-analysis model was used to estimate the pooled prevalence of preconception care, knowledge level of preconception care, and their correlation among reproductive-aged women in sub-Saharan African countries. Results: Of the identified 1593 articles, 20 studies were included in the final analysis. The pooled utilization of preconception care and good knowledge level about preconception care among women of reproductive age were found to be 24.05% (95% confidence interval: 16.61, 31.49) and 33.27% (95% confidence interval: 24.78, 41.77), respectively. Women in the reproductive age group with good knowledge levels were greater than two times more likely to utilize the preconception care than the women with poor knowledge levels in sub-Saharan African countries (odds ratio: 2.35, 95% confidence interval: 1.16, 4.76). Conclusion: In sub-Saharan African countries, the utilization of preconception care and knowledge toward preconception care were low. Additionally, the current meta-analysis found good knowledge level to be significantly associated with the utilization of preconception care among women of reproductive age. These findings indicate that it is imperative to launch programs to improve the knowledge level about preconception care utilization among women in the reproductive age group in sub-Saharan African countries.