Childhood cancer survivors (CCSs) experience educational disruptions during and following treatment, yet robust, longitudinal evidence on educational performance remains limited. We will investigate differences in educational outcomes between CCSs and non-cancer peers during primary and secondary school. We will also explore how sociodemographic factors and age at diagnosis contribute to potential differences in General Certificate of Secondary Education (GCSE) examinations, a critical indicator of future academic and employment prospects.
We will use the Education and Child Health Insights from Linked Data (ECHILD) to capture linked health and education data for children born in National Health Service (NHS)-funded hospitals in England. We will generate birth cohorts spanning September 1997 to August 2015 (estimated sample size: ~10 million), formed of pupils expected to have undertaken national curriculum assessments between academic years 2004/2005 and 2021/2022 including Key Stage (KS) 1, 2 and 4, corresponding to ages 7, 11 and 16 respectively. Cancer diagnosis will be identified from inpatient hospital records, using International Classification of Diseases, 10th Revision codes (ICD-10). We will investigate differences between CCS and their non-cancer peers in terms of their sociodemographic characteristics and describe trends in educational performances at all KSs, recorded Special Educational Needs and Disabilities (SEND) and school absences. Differences in KS4 (GCSE) performances between CCS and non-cancer peers will be quantified, according to and accounting for geographic region, sex, deprivation, ethnicity and birth characteristics. To assess whether cancer diagnosis disrupts academic trajectories, we will restrict analysis to those with KS2 attainment data and investigate KS4 performance. We will finally explore the influence of age at diagnosis on educational performance at KS4.
Ethics approval was granted by NHS Health Research Authority Research Ethics Committee (20/EE/0180). Findings will be shared with academics, policymakers, children and families affected by childhood cancer, and published in journals. Code/metadata will be shared on ECHILD GitHub repository.
Infant feeding practices in the first 2 years of life are linked to long-term weight trajectories. Despite the importance of obesity prevention interventions, there are no randomised controlled trials (RCTs) evaluating early childhood education and care (ECEC) and primary caregiver-targeted interventions on child weight and feeding outcomes.
To assess the efficacy of an 18-month digital health intervention (Tiny Bites) delivered to ECEC services and primary caregivers of children aged 4 to ≤12 months on child age-adjusted and sex-adjusted body mass index-for-age z-score (zBMI) relative to usual care control in the Hunter New England (HNE) region of New South Wales, Australia.
This type 1 hybrid cluster RCT will include up to 60 ECEC services and 540 children/caregiver dyads. The intervention supports ECEC services and caregivers to deliver recommended responsive feeding practices to infants. ECEC services will receive access to an online assessment platform, training and resources, and implementation support. Primary caregivers will receive text messages, monthly e-newsletters, online links and direct communication from ECEC services. We will assess the impact on child zBMI at 18-month follow-up. Secondary outcomes include duration of consuming any breastmilk, child diet and caregiver responsive feeding practices. We will also assess ECEC policy and practice implementation related to targeted feeding practices, programme cost effectiveness, adverse effects and engagement with the programme (ECECs and caregivers). For the primary outcome, between-group differences will be assessed for paired data using two-level hierarchical linear regression models.
Ethics approval has been provided by HNE Human Research Ethics Committee (HREC) (2023/ETH01158), Deakin University (2024-202) and University of Newcastle HREC (R-2024-0039). Trial results will be submitted for publication in peer-reviewed journals, presented at scientific conferences locally and internationally and to relevant practice stakeholders.
ACTRN12624000576527.
Chronic pelvic pain, defined as persistent pain in the structures of the pelvis, is a condition that significantly impacts the health-related quality of life (HRQoL) of up to one-third of people worldwide, with substantial associated costs to both the individual and healthcare system/s. The present trial aims to establish the efficacy of e-hypnotherapy over relaxation and waitlist controls on pain, HRQoL and biopsychosocial outcomes, and evaluate cost-effectiveness.
A parallel-group, investigator-blinded, randomised controlled trial will be conducted. Eligible participants will be randomly allocated to either a 7-week online personalised e-hypnotherapy programme (n=44), a 7-week online personalised relaxation control (n=44) or waitlist control (n=44). The primary outcome will be self-reported pain level, and secondary outcomes will include psychological distress, QoL, pain catastrophising, self-efficacy, central sensitisation, somatic symptoms, fatigue and sleep. Cost-effectiveness will also be examined. Longitudinal qualitative interviews will be conducted with participants in the e-hypnotherapy (n=20) and relaxation (n=20) groups to understand meaningful change and barriers/facilitators for ongoing use.
This protocol has received ethics approval in Australia from the Deakin University Research Ethics Committee (DUREC ref. 2024-080). Findings will be disseminated through peer-reviewed publications and presentations at national and international conferences related to chronic pelvic pain and mind–body interventions.
Australian New Zealand Clinical Trials Registry ACTRN12623000368639p.
The prevalence of depression and mood disorders has been steadily rising in Australian youth, with a concomitant increase in antidepressant pharmacotherapy prescription rates. Yet, the tolerability and efficacy of antidepressant drugs in youth remain poor. Pharmacogenetic (PGx) testing, or the personalised and guided treatment of medication based on genetic data, has been suggested to improve the effectiveness and tolerability of antidepressants. However, limited studies have evaluated the utility of antidepressant PGx-guided treatment in adolescent and young adult populations. Thus, this pilot randomised controlled trial (RCT), the GENE-YD Study, will evaluate the feasibility for a large-scale RCT assessing the effect of PGx-guided antidepressant prescription vs treatment as usual in youth with major depressive disorder (MDD).
Eighty young people between 16 and 24 years of age and in the early stages of pharmacotherapy treatment for MDD will be recruited. Following initial screening, participants will be randomised on a 1:1 ratio to either the intervention or control study group. Participants in the intervention condition will have their treatment tailored based on their PGx profile. Participants randomised into the control group will have their prescription based on current best practice recommendations, or treatment as usual. Individuals will be assessed at drug prescription baseline and again 6 and 12 weeks following drug prescription. The primary outcome of the study will be to evaluate the feasibility and acceptability of the GENE-YD protocol. Specifically, this study will explore participation recruitment strategies and attrition to the study protocols to guide the recruitment processes of a large-scale RCT, along with participating satisfaction in overall study protocols. Secondary outcomes will inform the utility and variability of specific measures (eg, depression rating scales, quality of life measures and medication adherence scales) that may be scaled up for use in a future full-scale trial.
Ethics approval was granted by the Department of Health, Western Australia’s Human Research Ethics Committee (RGS0000006822) and recognised by the University of Western Australia’s Human Research Ethics Committee (2024/ET000685). All participants will be required to provide written informed consent. Results will be published in international peer-reviewed journals.
ACTRN12624000760572.
Rare diseases (RD) are collectively common and often genetic. Families value and can benefit from precise molecular diagnoses. Prolonged diagnostic odysseys exacerbate the burden of RD on patients, families and the healthcare system. Genome sequencing (GS) is a near-comprehensive test for genetic RD, but existing care models—where consultation with a medical geneticist is a prerequisite for testing—predate GS and may limit access or delay diagnosis. Evidence is needed to guide the optimal positioning of GS in care pathways. While initiating GS prior to geneticist consultation has been trialled in acute care settings, there are no data to inform the utility of this approach in outpatient care, where most patients with RD seek genetics services. We aim to evaluate the diagnostic yield, time to diagnosis, clinical and personal utility and incremental cost-effectiveness of GS initiated at the time of referral triage (pre-geneticist evaluation) compared with standard of care.
200 paediatric patients referred to one of two large genetics centres in Ontario, Canada, for suspected genetic RD will be randomised into a 1:1 ratio to the intervention (GS first) or standard of care (geneticist first) arm. An unblinded, permuted block randomisation design will be used, stratified within each recruitment site by phenotype and prior genetic testing. The primary outcome measure is time to genetic diagnosis or to cessation of active follow-up. Survival analysis will be used to analyse time-to-event data. Additional measures will include patient-reported and family-reported measures of satisfaction, understanding and perceived test utility, clinician-reported measures of perceived test utility and management impact, and healthcare system utilisation and costs.
This study was approved by Clinical Trials Ontario. Results will be disseminated, at minimum, via peer-reviewed journals, professional conferences and internal reports to funding bodies. Efforts will be made to share aggregated study results with participants and their families.
To describe diagnostic and management characteristics of acute rheumatic fever (ARF) among participants in the ‘Searching for a Technology-Driven Acute Rheumatic Fever Test’ study, in order to answer clinical questions and determine epidemiological and practice differences in different settings.
Multisite, prospective cohort study.
One hospital in northern Australia and two hospitals in New Zealand, 2018–2021.
143 episodes of definite, probable or possible ARF among 141 participants (median age 10 years, range 5–23; 98% Indigenous).
Participant characteristics, clinical, biochemical and echocardiographic data were explored using descriptive data. Associations with length of stay were determined using multivariable regression analysis.
ARF presentations were heterogeneous with the most common ARF ‘phenotype’ in 19% of cases being carditis with joint manifestations (polyarthritis, monarthritis or polyarthralgia), fever and PR prolongation. The total proportion of children with carditis was 61%. Australian compared with New Zealand participants more commonly had ARF recurrence (22% vs 0%), underlying RHD (48% vs 0%), possible/probable ARF (23% vs 9%) and were underweight (64% vs 16%). Erythrocyte sedimentation rate (ESR) provided an incremental diagnostic yield of 21% compared with C reactive protein. No instances of RHD were diagnosed among participants in New Zealand. Positive throat Group A Streptococcus culture was more common in New Zealand than in Australian participants (69% vs 3%). Children often required prolonged hospitalisation, with median hospital length-of-stay being 7 days (range 2–66). Significant predictors for length of stay in a multivariable regression model were valve disease (adjusted OR (aOR) 1.56, 95% CI 1.23 to 1.98, p
This study provides new knowledge on ARF characteristics and management and highlights international variation in diagnostic and management practice. Differing approaches need to be aligned. Meanwhile, locally specific information can help guide patient expectations after ARF diagnosis.