Participation and psychosocial supports in the school setting for children with type 1 diabetes: A discrete choice experiment of carer priority.

School-based diabetes care is an important consideration for clinicians and families alike. This Discrete-Choice Experiment describes parental preference for enhanced psychosocial and activity-focused supports over academic supports for children with Type 1 diabetes in Australian primary and secondary schools.

A Comparison of the Psychometric Properties of the EQ-5D-Y-3L and EQ-5D-Y-5L Using Paediatric Multi-Instrument Comparison (P-MIC) Study Data.

BACKGROUND: The EQ-5D-Y is a generic health-related quality of life (HRQoL) measure suitable for children and adolescents. There are two versions of the instrument, which differ in response levels: the three- (Y-3L) and five-level (Y-5L) versions. The Y-5L has been developed to improve the psychometric performance of the Y-3L. OBJECTIVE: This study aims to assess the psychometric properties of Y-5L and to compare the performance of Y-5L with Y-3L in separate self- and proxy-reported samples. METHODS: Both versions of the instrument were administered to children/adolescents (self-report) or caregivers (proxy-report) of Australian children aged 5-18 years. The data were gathered as part of the Australian Paediatric Multi-Instrument Comparison (P-MIC) study. The Y-5L and Y-3L were evaluated in terms of ceiling effects, criterion validity, inconsistency, informativity, and test-retest reliability in both proxy and self-complete populations. RESULTS: Overall, 5945 respondents completed both the Y-3L and Y-5L, with 2083 proxy and 3862 self-completed responses. Ceiling effects were lower in the Y-5L than the Y-3L. Items from the same domains show the strongest correlation for both samples. Regarding informativity, the Y-5L demonstrated more discriminatory power, indicated by having a higher Shannon diversity index in all domains of the Y-5L compared with the Y-3L. Test-retest showed fair agreement between responses at baseline and follow-up. CONCLUSION: The Y-5L has demonstrated moderate validity and fair reliability for use in measuring HRQoL in children and adolescents, both when self-reported by children or proxy reported. Overall, Y-5L is a dependable and valid extension from the Y-3L.

Comparing Generic Paediatric Health-Related Quality-of-Life Instruments: A Dimensionality Assessment Using Factor Analysis.

BACKGROUND: Widely used generic instruments to measure paediatric health-related quality of life (HRQoL) include the EQ-5D-Y-5L, Child Health Utility 9 Dimension (CHU-9D), Paediatric Quality of Life Inventory (PedsQL) and Health Utilities Index (HUI). There are similarities and differences in the content of these instruments, but there is little empirical evidence on how the items they contain relate to each other, and to an overarching model of HRQoL derived from their content. OBJECTIVE: This study aimed to explore the dimensionality of the instruments using exploratory factor analysis (EFA). METHODS: Data from the Australian Paediatric Multi-Instrument Comparison (P-MIC) Study were used. EQ-5D-Y-5L, CHU-9D, PedsQL and HUI data were collected via proxy or child self-report data. EFA was used to investigate the underlying domain structure and measurement relationship. Items from the four instruments were pooled and domain models were identified for self- and proxy-reported data. The number of factors was determined based on eigenvalues greater than 1. A correlation cut-off of 0.32 was used to determine item loading on a given factor, with cross-loading also considered. Oblique rotation was used. RESULTS: Results suggest a six-factor structure for the proxy-reported data, including emotional functioning, pain, daily activities, physical functioning, school functioning, and senses, while the self-report data revealed a similar seven-factor structure, with social functioning emerging as an additional factor. CONCLUSION: We provide evidence of differences and similarities between paediatric HRQoL instruments and the aspects of health being measured by these instruments. The results identified slight differences between self- and proxy-reported data in the relationships among items within the resulting domains.

Comparing the Psychometric Performance of Generic Paediatric Health-Related Quality of Life Instruments in Children and Adolescents with ADHD, Anxiety and/or Depression.

OBJECTIVE: The aim of this study was to examine the validity, reliability and responsiveness of common generic paediatric health-related quality of life (HRQoL) instruments in children and adolescents with mental health challenges. METHODS: Participants were a subset of the Australian Paediatric Multi-Instrument Comparison (P-MIC) study and comprised 1013 children aged 4-18 years with attention-deficit/hyperactivity disorder (ADHD) (n = 533), or anxiety and/or depression (n = 480). Participants completed an online survey including a range of generic paediatric HRQoL instruments (PedsQL, EQ-5D-Y-3L, EQ-5D-Y-5L, CHU9D) and mental health symptom measures (SDQ, SWAN, RCADS-25). A subset of participants also completed the HUI3 and AQoL-6D. The psychometric performance of each HRQoL instrument was assessed regarding acceptability/feasibility; floor/ceiling effects; convergent validity; known-group validity; responsiveness and test-retest reliability. RESULTS: The PedsQL, CHU9D, EQ-5D-Y-3L and EQ-5D-Y-5L showed similarly good performance for acceptability/feasibility, known-group validity and convergent validity. The CHU9D and PedsQL showed no floor or ceiling effects and fair-good test-retest reliability. Test-retest reliability was lower for the EQ-5D-Y-3L and EQ-5D-Y-5L. The EQ-5D-Y-3L showed the highest ceiling effects, but was the top performing instrument alongside the CHU9D on responsiveness to improvements in health status, followed by the PedsQL. The AQoL-6D and HUI3 showed good acceptability/feasibility, no floor or ceiling effects, and good convergent validity, yet poorer performance on known-group validity. Responsiveness and test-retest reliability were not able to be assessed for these two instruments. In subgroup analyses, performance was similar for all instruments for acceptability/feasibility, known-group and convergent validity, however, relative strengths and weaknesses for each instrument were noted for ceiling effects, responsiveness and test-retest reliability. In sensitivity analyses using utility scores, performance regarding known-group and convergent validity worsened slightly for the EQ-5D-Y-3L and CHU9D, though improved slightly for the HUI3 and AQoL-6D. CONCLUSIONS: While each instrument showed strong performance in some areas, careful consideration of the choice of instrument is advised, as this may differ dependent on the intended use of the instrument, and the age, gender and type of mental health condition of the population in which the instrument is being used. TRIAL REGISTRATION: ANZCTR-ACTRN12621000657820.

The Validity of the EuroQol Health and Wellbeing Short Version (EQ-HWB-S) Instrument in Parents of Children With and Without Health Conditions.

BACKGROUND:  The EuroQol Health and Wellbeing Short Version (EQ-HWB-S) instrument has been developed to measure the health and wellbeing of care-recipients and their caregivers for use in economic evaluation.The EQ-HWB-S has nine items, and pilot UK preference weights have now been developed. OBJECTIVE: We aimed to investigate the validity of the instrument in parents of children with and without health conditions. METHODS: EQ-HWB-S data were sourced from an Australian paediatric multi-instrument comparison study. We analysed the baseline characteristics and response distribution of the EQ-HWB-S items. Assessment of known-group validity was conducted for EQ-HWB-S items, level sum-scores and preference-weighted scores, including partial effects. Known-group analyses included three child health variables and where caregivers reported coronavirus disease 2019 (COVID-19) had impacted their wellbeing. We included analyses across gender, controlled for child and parent demographic variables, and compared scores across child health conditions. RESULTS:  Item responses were distributed as expected, with higher skew for mobility and activities. Parents experienced high levels of exhaustion. We detected significant differences between groups for level sum-scores and preference-weighted scores, as hypothesised; all tests were significant (p < 0.001), with moderate effect sizes (effect sizes were slightly higher for female than male parents). The regression analysis identified significantly different EQ-HWB-S scores for child health samples compared with the general population after controlling for demographic variables. Differences were observed between child health conditions. CONCLUSION: The EQ-HWB-S is a useful instrument to measure parent quality of life for economic evaluation in this population. Data were limited to one time point; further research should investigate the instrument's sensitivity to change and test-retest reliability in this population.

Psychometric Properties of Child Health Utility 9D (CHU9D) Proxy Version Administered to Parents and Caregivers of Children Aged 2-4 Years Compared with Pediatric Quality of Life Inventory™ (PedsQL).

OBJECTIVE: This study examines the psychometric properties of the Child Health Utility 9D (CHU9D) proxy version administered to parents/caregivers of 2-4-year-old Australian children compared with Pediatric Quality of Life Inventory™ version 4.0 (PedsQL). METHODS: Data collected in 2021/2022 from parents/caregivers of 2-4-year-olds from the Australian pediatric multi-instrument comparison study were used. Feasibility, ceiling/floor effects, test-retest reliability, convergent validity, known-group validity, and responsiveness were assessed. RESULTS: A total of 842 caregivers completed the survey at baseline, with 513 completing the follow-up survey. The CHU9D did not demonstrate ceiling effects in the sample with special health care needs, with only 6% of respondents reporting best levels for all nine dimensions. CHU9D correlated with PedsQL moderately-to-strongly between comparable items (correlation coefficients 0.34-0.70). CHU9D was able to differentiate between groups with known health differences with moderate-to-large effect sizes (Cohen's d 0.58-2.03). Moderate test-retest reliability was found for CHU9D in those reporting no health change at a 2-day follow-up (ICC 0.52). A standard response mean (SRM) of 0.25-0.44 was found for children with changes in general health and a SRM of 0.72-0.82 for children who reported worsened health when developing new illnesses, indicating small-to-large responsiveness according to different definitions of health changes. Compared with PedsQL, CHU9D had similar known-group validity and responsiveness and slightly poorer test-retest reliability. CONCLUSION: The CHU9D was found to be valid and reliable to measure health-related quality-of-life in children aged 2-4 years, although with relatively low test-retest reliability in some dimensions. Further development and validation work is warranted.

Comparative Psychometric Performance of Common Generic Paediatric Health-Related Quality of Life Instrument Descriptive Systems: Results from the Australian Paediatric Multi-Instrument Comparison Study.

OBJECTIVE: The aim of this study was to compare the psychometric performance of common generic paediatric health-related quality-of-life instrument descriptive systems (PedsQL generic core 4.0, EQ-5D-Y-3L, EQ-5D-Y-5L, Child Health Utility 9D [CHU9D], Assessment of Quality of Life 6D [AQoL-6D], and Health Utilities Index Mark 3 [HUI3]) by child age, report type, and health status. METHODS: Data for children aged 5-18 years were from the Australian Paediatric Multi-Instrument Comparison study. Ceiling effects, test-retest reliability, known-group validity, convergent and divergent validity, and responsiveness were assessed in the total sample and by child age (5-12 years vs 13-18 years), report type (self- vs proxy report), and health status. Instruments were scored using an exploratory level sum score (LSS) approach. RESULTS: Survey data were available for 5945 children, with follow-up data available for 2346 children. The EQ-5D-Y-3L demonstrated ceiling effects. The PedsQL, EQ-5D-Y-3L, EQ-5D-Y-5L, and CHU9D demonstrated acceptable test-retest reliability. All instruments demonstrated known-group, convergent, and divergent validity. The EQ-5D-Y-3L, EQ-5D-Y-5L, and CHU9D demonstrated responsiveness to improvements in health and the PedsQL, EQ-5D-Y-3L, EQ-5D-Y-5L, and CHU9D to worsening health. The AQoL-6D and HUI3 had inconclusive test-retest reliability and responsiveness evidence due to small sample size. Importantly, ceiling effects, test-retest reliability and responsiveness varied by subgroup. CONCLUSION: Results reflect instrument performance using LSSs, which may differ to utility scores. In the total sample, the EQ-5D-Y-5L and CHU9D descriptive systems demonstrated evidence of good performance (i.e., meeting prespecified criteria) across all psychometric attributes tested. Performance varied by child age and report type, indicating room for considerations by population and study.

Collecting Paediatric Health-Related Quality of Life Data: Assessing the Feasibility and Acceptability of the Australian Paediatric Multi-Instrument Comparison (P-MIC) Study.

BACKGROUND: Collecting data using paediatric health-related quality of life (HRQoL) instruments is complex, and there is a paucity of evidence regarding the comparative performance of paediatric HRQoL instruments. The Australian Paediatric Multi-Instrument Comparison (P-MIC) study was conducted to address this paucity of evidence. This study aims to understand the (1) feasibility of collecting data using paediatric HRQoL instruments in a research setting and (2) acceptability and feasibility for children and their caregivers to complete common paediatric HRQoL instruments using data from the Australian P-MIC study. METHODS: Data were from children aged 5-18 years from the Australian P-MIC study. Demographics, cost and time for data collection, dropout rates, and inconsistent responses were used to assess Aim 1. Participant-reported difficulty and completion time were used to assess Aim 2. Subgroup analyses included child age, report type (self/proxy), sample recruitment pathway (hospital/online), and online panel sample type (general population/condition groups). RESULTS: Overall, 5945 P-MIC participants aged 5-18 years completed an initial survey, of these, 2346 also completed the follow-up survey (39.5% response rate). Compared with online panel recruitment, hospital recruitment was more costly and time-consuming and had higher follow-up completion (33.5% versus 80.4%) (Aim 1). Data were of similar good quality (based on inconsistent responses) for both recruitment pathways (Aim 1). Participants completed each instrument in <3 min, on average, and >70% reported each instrument as easy to complete (Aim 2). CONCLUSIONS: The Australian P-MIC study was able to collect good-quality data using both online panel and hospital recruitment pathways. All instruments were acceptable and feasible to children and their caregivers.

Identifying and responding to family adversity in Australian community and primary health settings: a multi-site cross sectional study.

Background: Unaddressed family adversity has potentially modifiable, negative biopsychosocial impacts across the life course. Little is known about how Australian health and social practitioners identify and respond to family adversity in community and primary health settings. Objective: To describe, in two Australian community health services: (1) the number of adversities experienced by caregivers, (2) practitioner identification of caregivers experiencing adversity, (3) practitioner response to caregivers experiencing adversity, and (4) caregiver uptake of referrals. Methods: Survey of caregivers of children aged 0-8 years attending community health services in Victoria and New South Wales (NSW). Analysis described frequencies of caregiver self-reported: (1) experiences of adversity, (2) practitioner identification of adversity, (3) practitioner response to adversity, and (4) referral uptake. Analyses were sub-grouped by three adversity domains and site. Results: 349 caregivers (Victoria: n = 234; NSW: n = 115) completed the survey of whom 88% reported experiencing one or more family adversities. The median number of adversities was 4 (2-6). Only 43% of participants were directly asked about or discussed an adversity with a practitioner in the previous 6 months (Victoria: 30%; NSW: 68%). Among caregivers experiencing adversity, 30% received direct support (Victoria: 23%; NSW: 43%), and 14% received a referral (Victoria: 10%; NSW: 22%) for at least one adversity. Overall, 74% of caregivers accepted referrals when extended. Conclusion: The needs of Australian families experiencing high rates of adversity are not systematically identified nor responded to in community health services. This leaves significant scope for reform and enhancement of service responses to families experiencing adversity.

A Qualitative Investigation to Develop an Adapted Version of the EQ-5D-Y-3L for Use in Children Aged 2-4 Years.

OBJECTIVES: Few preference-weighted health-related quality-of-life measures exist for children under 5 years of age. Young children are substantial consumers of healthcare services. This project aims to assess EQ-5D-Y-3L's appropriateness in children aged 2 to 4 years and to coproduce with parents a suitable adaptation. METHODS: Purposive sampling at the Murdoch Children's Research Institute and Royal Children's Hospital was used to recruit parents or carers of children aged 2 to 4 years in Australia. Online focus groups were conducted consisting of 13 parents of healthy children, and 6 parents of children with moderate to severe health conditions. Parents provided feedback on each dimension of the proxy EQ-5D-Y-3L. Recordings were transcribed and thematic analysis was conducted. Qualitative findings guided the design of adaptations to the instrument. The adaptations were piloted to obtain feedback and refined to improve language translatability and comparability with other EuroQol instruments. RESULTS: The adapted EQ-5D-Y-3L was considered generally acceptable by the parents. Parents provided a wide range of examples of how each domain related to their children, with varied examples provided across ages 2 to 4 years and health status. Additional or alternative wording was suggested by parents to improve the applicability of the instrument to this age group. One example of this was the change of the domain wording "walking about" to "movement"-ID5:"In this age group, movement is more important than walking." CONCLUSIONS: The adapted EQ-5D-Y-3L has improved relevance for 2-4-year olds and appears easy to complete. Further testing of the adapted instrument is required to evaluate acceptability, reliability, and validity.

Trauma in the Obstetric Patient.

The authors provide a concise, comprehensive overview of the unique anatomic and physiologic features of pregnancy as well as modification and considerations important for the management of the pregnant trauma patient.

Effectiveness of asthma preventer dispensing for preventing childhood asthma readmissions: a multisite cohort linkage study.

OBJECTIVES: To (1) describe the dispensing of asthma preventers at hospital discharge and estimate its effect on hospital readmissions, and (2) estimate the effect of community asthma preventer dispensing on readmissions for the subgroup of children who were not prescribed an asthma preventer at discharge. DESIGN: Multisite cohort study with linked administrative data. PARTICIPANTS: Children aged 3-18 years admitted with asthma to a tertiary paediatric, mixed paediatric and adult, or regional hospital between 2017 and 2018. MAIN OUTCOME MEASURE: Hospital readmission for asthma within 12 months. RESULTS: Of the 767 participants, 201 (26.2%) were newly prescribed or requested to continue with asthma preventers. Of these, only 91 (45.3%) dispensed their discharge prescription within 3 days or had an active prescription. There was no evidence for a protective effect of discharge asthma preventer dispensing on asthma hospital readmissions within 12 months (OR 1.17, 95% CI 0.69 to 1.97, p=0.57). Of the 566 children who were not prescribed asthma preventers at discharge, 269 (47.5%) had one or more prescriptions dispensed in the community within 12 months. Participants who were in the protected period (asthma preventer dispensed) had reduced risk of an asthma hospital readmission (HR 0.61, 95% CI 0.36 to 1.02, p=0.06), including preschool children (HR 0.48, 95% CI 0.25, 0.93, p=0.03) on subgroup analysis. CONCLUSIONS: There was a low rate for prescribing and dispensing of hospital discharge asthma preventers and no protective effect was found for its impact on readmissions. A protective effect on readmissions was found for community asthma preventer dispensing.

Differences of sexual development: genetic counseling considerations in the prenatal setting.

PURPOSE OF REVIEW: With the rapid adoption of noninvasive prenatal screening (NIPS), predictive fetal sex information is available early in pregnancy. This information can conflict with the results of other prenatal tests such as fetal ultrasound or diagnostic testing and raise the possibility of a fetal difference of sexual development (DSD). In this review, we describe recent studies examining the counseling and outcomes of prenatally suspected DSD. RECENT FINDINGS: Discordance in prenatal genetic testing results can cause confusion and anxiety in families as expectations of testing are not often discussed in detail prior to testing. There are no established guidelines for the counseling or management of such situations. SUMMARY: We present case vignettes to highlight relevant counseling points and considerations to aid in the development of guidelines and best practices in the management of DSD in the prenatal setting.

Primary health care utilization and hospital readmission in children with asthma: a multi-site linked data cohort study.

OBJECTIVES: To (1) describe primary health care utilization and (2) estimate the effect of primary care early follow-up, continuity, regularity, frequency, and long consultations on asthma hospital readmission, including secondary outcomes of emergency (ED) presentations, asthma preventer adherence, and use of rescue oral corticosteroids within 12 months. METHODS: An Australian multi-site cohort study of 767 children aged 3-18 years admitted with asthma between 2017 and 2018, followed up for at least 12 months with outcome and primary care exposure data obtained through linked administrative datasets. We estimated the effect of primary care utilization through a modified Poisson regression adjusting for child age, asthma severity, socioeconomic status and self-reported GP characteristics. RESULTS: The median number of general practitioner (GP) consultations, unique GPs and clinics visited was 9, 5, and 4, respectively. GP care was irregular and lacked continuity, only 152 (19.8%) children visited their usual GP on more than 60% of occasions. After adjusting for confounders, there was overall weak indication of effects due to any of the exposures. Increased frequency of GP visits was associated with reduced readmissions (4-14 visits associated with risk ratio of 0.71, 95% CI 0.50-1.00, p = 0.05) and ED presentations (>14 visits associated risk ratio 0.62, 95% CI 0.42-0.91, p = 0.02). CONCLUSIONS: Our study demonstrates that primary care use by children with asthma is often irregular and lacking in continuity. This highlights the importance of improving accessibility, consistency in care, and streamlining discharge communication from acute health services.

Exploring gaps and opportunities in primary care following an asthma hospital admission: a multisite mixed-methods study of three data sources.

OBJECTIVE: Explore gaps and opportunities in primary care for children following a hospital admission for asthma. DESIGN: Exploratory mixed-methods, using linked hospital and primary care administration data. SETTING: Eligible children, aged 3-18 years, admitted to one of three hospitals in Victoria, Australia between 2017 and 2018 with a clinical diagnosis of asthma. RESULTS: 767 caregivers of eligible children participated, 39 caregivers completed a semistructured interview and 277 general practitioners (GPs) caring for 360 children completed a survey. Over 90% (n=706) of caregivers reported their child had a regular GP. However, few (14.1%, n=108) attended a GP in the 24 hours prior to index admission or in the 7 days after (35.8%, n=275). Children readmitted for asthma (34.2%, n=263), compared with those not readmitted (65.8%, n=504), were less likely to have visited a GP in the non-acute phase of their asthma in the 12 months after index admission (22.1% vs 42.1%, respectively), and their GP was more likely to report not knowing the child had an asthma admission (52.8% vs 39.2%, respectively). Fewer GPs reported being extremely confident managing children with poorly controlled asthma (11.9%, n=43) or post-discharge (16.7%, n=60), compared with children with well-controlled asthma (36.4%, n=131), with no difference by child readmission status. CONCLUSIONS: Given the exploratory design and descriptive approach, it is unknown if the differences by child readmission status have any causal relationship with readmission. Nonetheless, improving preventative patterns of primary care visits, timely communication between hospitals and primary care providers, and guideline concordant care by GPs are needed.

Modifiable factors associated with pediatric asthma readmissions: a multi-center linked cohort study.

OBJECTIVES: To (a) identify rates of hospital readmission and emergency department (ED) re-presentation for asthma within a 12-month period, (b) estimate the effects of modifiable hospital, general practitioner (GP) and home environmental factors on hospital readmission, ED re-presentations and rescue oral corticosteroid use. METHODS: We recruited 767 children aged 3-18 years who were admitted to 3 hospitals in Victoria, Australia between 2017 and 2018 with a validated diagnosis of asthma on chart review. Primary outcome was hospital readmission with asthma within 12 months of index admission. Secondary outcomes were ED re-presentation for asthma and rescue oral corticosteroid use. All outcomes were identified through linked administrative datasets. Their caregivers and 277 nominated GPs completed study surveys regarding the home environment and their usual asthma management practices respectively. RESULTS: Within 12 months of an index admission for asthma 263 (34.3%) participants were readmitted to a hospital for asthma, with participants between the ages of 3-5 years accounting for 69.2% of those readmitted. The estimated effect of GP reported guideline discordant care on the odds of readmission was OR 1.57, 95% CI 1.00-2.47, p = 0.05. None of the hospital or home environmental factors appeared to be associated with hospital readmissions. CONCLUSIONS: Hospital readmissions among Australian children with asthma are increasing, and linked datasets are important for objectively identifying the health services burden of asthma. They also confirm the important role of the GP in the management of pediatric asthma.

Preferences of parents for mental health services to suit children with chronic medical conditions.

Objectives To identify features of mental health services that affect the uptake of services among parents of children with chronic medical conditions, to inform the design of pathways into mental health care. Methods A discrete choice experiment in which participants made choices between hypothetical mental health services described in terms of service features: cost, wait time, provider knowledge of chronic medical conditions, recommendations, opening hours, and travel time. Participants were parents of children attending The Royal Children's Hospital outpatient clinics for the management of a chronic medical condition who completed the online survey between August 2020 and January 2021. The uptake of mental health services with differing features was predicted based on regression models examining the relationship between choice and service features, and accounting for participant characteristics and unobserved heterogeneity. Results The sample comprised 112 parents, of whom 52% reported unmet needs. The most influential service features were wait times, cost, recommendation from medical specialists, and mental health provider knowledge of chronic medical conditions. Predicted uptake of a realistic service showed inequalities across income, parental education, and single parent status. A service comprising preferred features was predicted to eliminate these inequalities. Conclusions Reducing cost and wait time for mental health services could reduce unmet need among children with chronic medical conditions. Specific approaches to tackle the high levels of unmet needs in this group include equipping medical specialists to recommend mental health providers and training mental health providers on the impacts of chronic medical conditions on children. Offering preferred services could increase uptake and reduce inequalities in mental health care.

Integrated Child and Family Hub models for detecting and responding to family adversity: protocol for a mixed-methods evaluation in two sites.

INTRODUCTION: Integrated community healthcare Hubs may offer a 'one stop shop' for service users with complex health and social needs, and more efficiently use service resources. Various policy imperatives exist to implement Hub models of care, however, there is a dearth of research specifically evaluating Hubs targeted at families experiencing adversity. To contribute to building this evidence, we propose to co-design, test and evaluate integrated Hub models of care in two Australian community health services in low socioeconomic areas that serve families experiencing adversity: Wyndham Vale in Victoria and Marrickville in New South Wales. METHODS AND ANALYSIS: This multisite convergent mixed-methods study will run over three phases to (1) develop the initial Hub programme theory through formative research; (2) test and, then, (3) refine the Hub theory using empirical data. Phase 1 involves co-design of each Hub with caregivers, community members and practitioners. Phase 2 uses caregiver and Hub practitioner surveys at baseline, and 6 and 12 months after Hub implementation, and in-depth interviews at 12 months. Two stakeholder groups will be recruited: caregivers (n=100-200 per site) and Hub practitioners (n=20-30 per site). The intervention is a co-located Hub providing health, social, legal and community services with no comparator. The primary outcomes are caregiver-reported: (i) identification of, (ii) interventions received and/or (iii) referrals received for adversity from Hub practitioners. The study also assesses child, caregiver, practitioner and system outcomes including mental health, parenting, quality of life, care experience and service linkages. Primary and secondary outcomes will be assessed by examining change in proportions/means from baseline to 6 months, from 6 to 12 months and from baseline to 12 months. Service linkages will be analysed using social network analysis. Costs of Hub implementation and a health economics analysis of unmet need will be conducted. Thematic analysis will be employed to analyse qualitative data. ETHICS AND DISSEMINATION: Royal Children's Hospital and Sydney Local Health District ethics committees have approved the study (HREC/62866/RCHM-2020). Participants and stakeholders will receive results through meetings, presentations and publications. TRIAL REGISTRATION NUMBER: ISRCTN55495932.

Mental healthcare for children with chronic conditions: a qualitative study.

OBJECTIVE: To explore parent perspectives on accessing mental healthcare for children with a chronic physical health condition. DESIGN: Qualitative research using semistructured interviews and Framework Analysis. Rankings were used to select attributes for a Discrete Choice Experiment (DCE). SETTING: Four specialty outpatient clinics (diabetes, epilepsy, bronchiectasis unrelated to cystic fibrosis and epidermolysis bullosa) at an Australian tertiary paediatric hospital. PARTICIPANTS: Eighteen parents of children with a chronical physical health condition. RESULTS: Most parents identified the child's general practitioner and/or hospital team as an initial pathway to seek help if they were worried about their child's mental health. Parents see mental healthcare as part of care for the whole child and want the outpatient clinics to proactively discuss child and family mental health, as well as refer to appropriate services as needed. The hospital being a familiar, child-friendly environment was identified as a key reason the hospital might be a desired place to access mental healthcare, as previous research has found. Six attributes of mental health services were identified as important and will be included in an upcoming DCE: travel time, cost, wait time, available hours, knowledge of physical health condition, and recommendation. CONCLUSIONS: This study highlights the opportunity presented in specialist outpatient clinics to address the often unmet mental healthcare needs of children with chronic physical health conditions. Parents identified practical ways for outpatient clinics to better facilitate access to mental healthcare. These will be further explored through a quantitative study of parent preferences.