Secondary use of genomic data: patients' decisions at point of testing and perspectives to inform international data sharing.

International sharing of genomic data files arising from clinical testing of patients is essential to further improve genomic medicine. Whilst the general public are reluctant to donate DNA for research, the choices patients actually make about sharing their clinical genomic data for future re-use (research or clinical) are unknown. We ascertained the data-sharing choices of 1515 patients having genomic testing for inherited conditions or cancer treatment from clinical consent forms. To understand the experiences and preferences of these patients, surveys were administered after test consent (RR 73%). Almost all patients (98%) consented to share their data. Survey respondents' decision recall was high (90%), but poorer if English was an additional language (p < 0.001). Parents deciding on behalf of children were over-represented amongst data-sharing decliners (p = 0.047) and decliners were more likely to believe that stored data could be easily reidentified (p < 0.001). A quarter of respondents did not know if reidentification would be easy and 44% of them were concerned about this possibility. Of those willing to share data overseas (60%), 23% indicated the recipient researcher's country would affect their decision. Most respondents (89%) desired some ongoing control over research use of their data. Four preliminary data-sharing profiles emerged; their further development could inform tailored patient resources. Our results highlight considerations for establishment of systems to make clinical genomic data files available for reanalysis locally and across borders. Patients' willingness to share their data - and value of the resulting research - should encourage clinical laboratories to consider sharing data systematically for secondary uses.

Evaluation of a two-step model of opportunistic genomic screening.

Increasing use of diagnostic genomic sequencing is pushing health services to confront the issue of opportunistic genomic screening (OGS). To date, OGS has been offered concomitant with diagnostic testing. In contrast, we piloted a service offering OGS after return of diagnostic testing results. Evaluation was designed to provide insights for future models of service and included patient surveys at three time points, semi-structured interviews with genetic counsellors (GCs) and a focus group with medical scientists. Uptake was relatively low: 83 of 200 patients approached (42%) attended the OGS service, with 81 accepting OGS. Whilst many who declined to attend the service cited practical barriers, others gave reasons that indicated this was a considered decision. Despite specific genetic counselling, one third of patients did not understand the scope of re-analysis. Yet after post-test counselling, all respondents with novel pathogenic additional findings (AF) understood the implications and reported relevant follow-up. Recall was high: five months after last contact, 75% recalled being offered OGS without prompting. GC interviews and patient survey responses provide insights into complexities that influence patient support needs, including diagnostic status and AF result type. There was no consensus among patients or professionals about when to offer OGS. There was a clear preference for multiple, flexible methods of information provision; achieving this whilst balancing patient support needs and resource requirements is a challenge requiring further investigation. Decisions about whether, when and how to offer OGS are complex; our study shows the two-step approach warrants further exploration.

Eliciting parental preferences and values for the return of additional findings from genomic sequencing.

Health economic evidence is needed to inform the design of high-value and cost-effective processes for returning genomic results from analyses for additional findings (AF). This study reports the results of a discrete-choice experiment designed to elicit preferences for the process of returning AF results from the perspective of parents of children with rare conditions and to estimate the value placed on AF analysis. Overall, 94 parents recruited within the Australian Genomics and Melbourne Genomics programmes participated in the survey, providing preferences in a total of 1128 choice scenarios. Statistically significant preferences were identified for the opportunity to change the choices made about AF; receiving positive AF in person from a genetic counsellor; timely access to a medical specialist and high-quality online resources; receiving automatic updates through a secure online portal if new information becomes available; and lower costs. For AF uptake rates ranging between 50-95%, the mean per person value from AF analysis was estimated at AU$450-$1700 (US$300-$1140). The findings enable the design of a value-maximising process of analysis for AF in rare-disease genomic sequencing.

Two-step offer and return of multiple types of additional genomic findings to families after ultrarapid trio genomic testing in the acute care setting: a study protocol.

INTRODUCTION: As routine genomic testing expands, so too does the opportunity to look for additional health information unrelated to the original reason for testing, termed additional findings (AF). Analysis for many different types of AF may be available, particularly to families undergoing trio genomic testing. The optimal model for service delivery remains to be determined, especially when the original test occurs in the acute care setting. METHODS AND ANALYSIS: Families enrolled in a national study providing ultrarapid genomic testing to critically ill children will be offered analysis for three types of AF on their stored genomic data: paediatric-onset conditions in the child, adult-onset conditions in each parent and reproductive carrier screening for the parents as a couple. The offer will be made 3-6 months after diagnostic testing. Parents will have access to a modified version of the Genetics Adviser web-based decision support tool before attending a genetic counselling appointment to discuss consent for AF. Parental experiences will be evaluated using qualitative and quantitative methods on data collected through surveys, appointment recordings and interviews at multiple time points. Evaluation will focus on parental preferences, uptake, decision support use and understanding of AF. Genetic health professionals' perspectives on acceptability and feasibility of AF will also be captured through surveys and interviews. ETHICS AND DISSEMINATION: This project received ethics approval from the Melbourne Health Human Research Ethics Committee as part of the Australian Genomics Health Alliance protocol: HREC/16/MH/251. Findings will be disseminated through peer-review journal articles and at conferences nationally and internationally.

What matters to parents? A scoping review of parents' service experiences and needs regarding genetic testing for rare diseases.

Patient care experiences are key to promoting better outcomes and are an essential consideration for successful implementation of genomics in paediatric care. To understand parents' service experiences and needs regarding testing of their child for rare diseases, we conducted a scoping review. Five databases were searched (2000-2022), with 29 studies meeting the inclusion criteria. Experiences of care wholly delivered by genetic services were most commonly reported (n = 11). Results were synthesised by mapping extracted data to adapted Picker principles of person-centred care. Parents especially valued and emphasised the importance of feeling 'cared for', continuous relationships with clinicians, empathic communication, being kept informed while awaiting genetic test results, linkage with informational and psychosocial resources following results disclosure, and follow-up. Strategies were often proposed by authors to address long-standing unmet needs but evidence from the literature regarding their potential effectiveness was rarely provided. We conclude that 'what matters' to parents regarding genetic testing is not dissimilar to other aspects of care. Paediatric medical specialists have existing skill sets, trusted relationships and can apply familiar principles of 'good' care to enhance experiences of genetic testing. The lack of evidence for service improvement strategies highlights the pressing need to undertake rigorous design and testing of interventions alongside mainstreaming of genomics into paediatric care.

'Diagnostic shock': the impact of results from ultrarapid genomic sequencing of critically unwell children on aspects of family functioning.

Rapid genomic sequencing (rGS) is being increasingly used in neonatal and paediatric intensive care units. While there is emerging evidence of clinical utility and cost-effectiveness, concerns have been raised regarding the impact of delivering genomic results in an acute care setting. To help investigate these concerns, we analysed survey data collected from caregivers whose children had received rGS through a national rapid genomic diagnosis program. The impact of rGS on families was assessed through the PedsQL2.0 Family Impact Module and the State-Trait Anxiety Inventory (STAI-6). Sixty-one parents/carers completed the survey during the study period (response rate 48%; 61/128). Mean parent and family functioning was reduced in this sample, reflecting the stressful conditions facing families with critically unwell children. We found caregivers whose children had received a diagnostic result through rGS reported a reduced family relationships score compared to caregivers of children who did not receive a diagnosis. These findings have implications for genetic counselling practice in this setting.

Is faster better? An economic evaluation of rapid and ultra-rapid genomic testing in critically ill infants and children.

PURPOSE: To evaluate whether the additional cost of providing increasingly faster genomic results in pediatric critical care is outweighed by reductions in health care costs and increases in personal utility. METHODS: Hospital costs and medical files from a cohort of 40 children were analyzed. The health economic impact of rapid and ultra-rapid genomic testing, with and without early initiation, relative to standard genomic testing was evaluated. RESULTS: Shortening the time to results led to substantial economic and personal benefits. Early initiation of ultra-rapid genomic testing was the most cost-beneficial strategy, leading to a cost saving of AU$26,600 per child tested relative to standard genomic testing and a welfare gain of AU$12,000 per child tested. Implementation of early ultra-rapid testing of critically ill children is expected to lead to an annual cost saving of AU$7.3 million for the Australian health system and an aggregate welfare gain of AU$3.3 million, corresponding to a total net benefit of AU$10.6 million. CONCLUSION: Early initiation of ultra-rapid genomic testing can offer substantial economic and personal benefits. Future implementation of rapid genomic testing programs should focus not only on optimizing the laboratory workflow to achieve a fast turnaround time but also on changing clinical practice to expedite test initiation.

Cost-Effectiveness of Targeted Exome Analysis as a Diagnostic Test in Glomerular Diseases.

BACKGROUND: Despite the emergence of diagnostic and clinical utility evidence in nephrology, publicly funded access to genomic testing is restricted in most health care systems. To establish genomic sequencing as a clinical test, an evaluation of cost-effectiveness is urgently required. METHODS: An economic evaluation, informed by a primary clinical study and available clinical evidence and guidelines in nephrology, was performed to evaluate the cost-effectiveness and optimal timing of exome sequencing (ES) in adults and children with suspected monogenic glomerular diseases compared with nongenomic investigations (NGIs). Six diagnostic strategies reflecting current practice and recommended models of care in Australia were modeled: (i) NGIs, (ii) late gene panel followed by ES, (iii) late ES, (iv) early gene panel, (v) early gene panel followed by ES, and (vi) early ES. RESULTS: ES with targeted analysis achieved a diagnosis in 23 of 63 (36.5%) adults and 10 of 24 (41.6%) children. NGIs were estimated to diagnose 4.0% of children, with an average estimated cost of AU$6120 per child. Integrating ES as a first-line test in children was cost saving, with an incremental cost saving of AU$3230 per additional diagnosis compared with NGIs. In adults, NGIs was estimated to diagnose 8% of patients, with an average estimated cost of AU$1830 per person. In adults, integrating ES early resulted in an incremental cost per additional diagnosis of AU$5460 relative to NGIs. CONCLUSIONS: Early ES with targeted analysis was effective for diagnosing monogenic kidney disease, with substantial cost savings in children.

Making community voices heard in a research-health service alliance, the evolving role of the Community Advisory Group: a case study from the members' perspective.

BACKGROUND: The Melbourne Genomics Health Alliance (the Alliance) is a collaboration of leading hospitals, research and academic organisations, supported by its member organisations and the Victorian Government. The Alliance was set up by its members in 2013 to steer the translation of genomics, making it an integral part of health care in Victoria, Australia. The Community Advisory Group (CAG) was formed soon after, to give input and advice across the program. This was to ensure consideration of community values, perspectives and priorities, and knowledge translation for patient care. The CAG was charged with providing a strong community voice for the duration of the program. Appointed members were experienced consumer advocates with developed connections to the community. MAIN BODY: The Alliance progressed from an initial Demonstration Project (2013-2015) to a multifaceted program (2016-2020). The CAG worked strategically to help address complex issues, for example, communication, privacy, informed consent, ethics, patient experience, measurement and evaluation standards and policies, data storage and re-use of genomic data. Many aspects of translating genomics into routine care have been tackled, such as communicating with patients invited to have genomic testing, or their caregivers, and obtaining informed consent, clinical questions across 16 areas of health care, training and education of health and laboratory professionals, genomic data management and data-sharing. Evidence generated around clinical utility and cost-effectiveness led to government funding of testing for complex genetic conditions in children. CONCLUSION: The CAG activities, recorded in a CAG-inspired Activity register, span the full spectrum of information sharing and consultation to co-design and partnership. The CAG were involved at multiple levels of participation and in all tiers of activity including governance, development of policies and procedures, program planning and evaluation. Working relationships were built up and a level of trust instilled to advance the Alliance work program in ensuring an effective patient-care model of delivery of genomics. CAG input into project deliverables has been tangible. Less tangible contributions included presentations at external meetings and conferences, direct interactions at meetings with Alliance members, interactions with visitors and external experts, taking part in consultations with experts, state and federal government.

Melbourne Genomics Health Alliance was established in 2013 to steer genomics into health care in Victoria, Australia. The Community Advisory Group (CAG) was formed soon after to provide advice and insights from the patient perspective. The CAG has added value to the Alliance's complex research-to-clinical service program of work over eight years to date. Following an explanation of the program, the CAG members identified priority areas and mechanisms for their involvement. Areas that members were involved in included: communication, visual identity and website, patient portal and its evaluation, information management, consent processes, laboratory requirements, tools for patient experience and quality of life measures, predictive health issues study, storage and sharing of data, databases, CAG Communication Plan, the Patient Guide, role with Victorian Government Department of Health and Human Services, implementation plan, workshop to upskill patient advocates, financial and strategic planning. Members also presented on the role of the CAG at conferences and symposia. The balanced, trusting relationship that developed between the CAG, the Program Team and its governance structure was of great value to and an achievement for the Alliance. CAG input into project deliverables and impact was recorded in a CAG inspired Activity Register and has been very tangible. Their less tangible contribution to the project is also important. Contributions included presentations at external meetings, direct interactions at annual meetings with Alliance members, interactions with visitors and external experts, taking part in consultations with experts, state and federal government. These provided opportunities to influence mindsets.

Ensuring best practice in genomics education and evaluation: reporting item standards for education and its evaluation in genomics (RISE2 Genomics).

PURPOSE: Widespread, quality genomics education for health professionals is required to create a competent genomic workforce. A lack of standards for reporting genomics education and evaluation limits the evidence base for replication and comparison. We therefore undertook a consensus process to develop a recommended minimum set of information to support consistent reporting of design, development, delivery, and evaluation of genomics education interventions. METHODS: Draft standards were derived from literature (25 items from 21 publications). Thirty-six international experts were purposively recruited for three rounds of a modified Delphi process to reach consensus on relevance, clarity, comprehensiveness, utility, and design. RESULTS: The final standards include 18 items relating to development and delivery of genomics education interventions, 12 relating to evaluation, and 1 on stakeholder engagement. CONCLUSION: These Reporting Item Standards for Education and its Evaluation in Genomics (RISE2 Genomics) are intended to be widely applicable across settings and health professions. Their use by those involved in reporting genomics education interventions and evaluation, as well as adoption by journals and policy makers as the expected standard, will support greater transparency, consistency, and comprehensiveness of reporting. Consequently, the genomics education evidence base will be more robust, enabling high-quality education and evaluation across diverse settings.

Utility of clinical comprehensive genomic characterization for diagnostic categorization in patients presenting with hypocellular bone marrow failure syndromes.

Bone marrow failure (BMF) related to hypoplasia of hematopoietic elements in the bone marrow is a heterogeneous clinical entity with a broad differential diagnosis including both inherited and acquired causes. Accurate diagnostic categorization is critical to optimal patient care and detection of genomic variants in these patients may provide this important diagnostic and prognostic information. We performed real-time, accredited (ISO15189) comprehensive genomic characterization including targeted sequencing and whole exome sequencing in 115 patients with BMF syndrome (median age 24 years, range 3 months - 81 years). In patients with clinical diagnoses of inherited BMF syndromes, acquired BMF syndromes or clinically unclassifiable BMF we detected variants in 52% (12/23), 53% (25/47) and 56% (25/45) respectively. Genomic characterization resulted in a change of diagnosis in 30/115 (26%) including the identification of germline causes for 3/47 and 16/45 cases with pre-test diagnoses of acquired and clinically unclassifiable BMF respectively. The observed clinical impact of accurate diagnostic categorization included choice to perform allogeneic stem cell transplantation, disease-specific targeted treatments, identification of at-risk family members and influence of sibling allogeneic stem cell donor choice. Multiple novel pathogenic variants and copy number changes were identified in our cohort including in TERT, FANCA, RPS7 and SAMD9. Whole exome sequence analysis facilitated the identification of variants in two genes not typically associated with a primary clinical manifestation of BMF but also demonstrated reduced sensitivity for detecting low level acquired variants. In conclusion, genomic characterization can improve diagnostic categorization of patients presenting with hypoplastic BMF syndromes and should be routinely performed in this group of patients.

Clinical impact of genomic testing in patients with suspected monogenic kidney disease.

PURPOSE: To determine the diagnostic yield and clinical impact of exome sequencing (ES) in patients with suspected monogenic kidney disease. METHODS: We performed clinically accredited singleton ES in a prospectively ascertained cohort of 204 patients assessed in multidisciplinary renal genetics clinics at four tertiary hospitals in Melbourne, Australia. RESULTS: ES identified a molecular diagnosis in 80 (39%) patients, encompassing 35 distinct genetic disorders. Younger age at presentation was independently associated with an ES diagnosis (p < 0.001). Of those diagnosed, 31/80 (39%) had a change in their clinical diagnosis. ES diagnosis was considered to have contributed to management in 47/80 (59%), including negating the need for diagnostic renal biopsy in 10/80 (13%), changing surveillance in 35/80 (44%), and changing the treatment plan in 16/80 (20%). In cases with no change to management in the proband, the ES result had implications for the management of family members in 26/33 (79%). Cascade testing was subsequently offered to 40/80 families (50%). CONCLUSION: In this pragmatic pediatric and adult cohort with suspected monogenic kidney disease, ES had high diagnostic and clinical utility. Our findings, including predictors of positive diagnosis, can be used to guide clinical practice and health service design.

"It's something I've committed to longer term": The impact of an immersion program for physicians on adoption of genomic medicine.

OBJECTIVE: To foster implementation of genomic testing in medical care by providing a cadre of physicians with 'hands on' experience in genomics, positioning them as opinion leaders in their medical speciality. This paper presents qualitative evaluation of immediate outcomes, in particular its impact on peer interactions. METHODS: Program design and delivery was informed by implementation science, behavior change and experiential learning theories. Inductive content analysis of transcribed audio-recordings from semi-structured post-project interviews with all participants (n = 12) was conducted. RESULTS: Participants reported the immersion experience improved their genomic capability, established them as credible genomic experts within their speciality and altered their practice in genomic medicine. Participants reported strengthening and widening of peer-to-peer and interdisciplinary communication, with both passive diffusion and active dissemination of information to peers. Some also became a resource for genetic professionals. CONCLUSIONS: Genomic immersion participants described elements which support sustained integration of an innovation, including immediate changes (e.g. use of genomic tests) and wider impacts (e.g. professional networks). PRACTICE IMPLICATIONS: This study supports a role for immersion as a successful strategy for enhancing engagement of non-geneticist physicians in genomics. Additional study is needed to understand how immersion experiences change the delivery of genomic services at the provider, practice and health system level.

Introducing Edna: A trainee chatbot designed to support communication about additional (secondary) genomic findings.

OBJECTIVE: To support informed decision-making about reanalysis of clinical genomic data for risk of preventable conditions ('additional findings') by developing a chatbot (electronic genetic resource, 'eDNA'). METHODS: Interactions in pre-test genetic counseling sessions (13.5 h) about additional findings were characterized using proponent, thematic and semantic analyses of transcripts. We then wrote interfaces to draw supplementary data from external genetics applications. To create Edna, this content was programmed using a chatbot framework which interacts with patients via speech-to-text. RESULTS: Conditions, terms, explanations of concepts, and key factors to consider in decision making were all encoded into chatbot conversations emulating counseling session flows. Patient agency can be enhanced by prompted consideration of the personal and familial implications of testing. Similarly, health literacy can be broadened through explanation of genetic conditions and terminology. Novel aspects include sentiment analysis and collection of family history. Medical advice and the impact of existing genetic conditions were deemed inappropriate for inclusion. CONCLUSION: Edna's successful development represents a movement towards accessible, acceptable and well-supported digital health processes for patients to make informed decisions for additional findings. PRACTICE IMPLICATIONS: Edna complements genetic counseling by collecting and providing genomic information before or after pre-test consultations.

Exome Sequencing for Isolated Congenital Hearing Loss: A Cost-Effectiveness Analysis.

OBJECTIVES/HYPOTHESIS: To assess the relative cost-effectiveness of exome sequencing for isolated congenital deafness compared with standard care. STUDY DESIGN: Incremental cost-effectiveness and cost-benefit analyses were undertaken from the perspective of the Australian healthcare system using an 18-year time horizon. METHODS: A decision tree was used to model the costs and outcomes associated with exome sequencing and standard care for infants presenting with isolated congenital deafness. RESULTS: Exome sequencing resulted in an incremental cost of AU$1,000 per child and an additional 30 diagnoses per 100 children tested. The incremental cost-effectiveness ratio was AU$3,333 per additional diagnosis. The mean societal willingness to pay for exome sequencing was estimated at AU$4,600 per child tested relative to standard care, resulting in a positive net benefit of AU$3,600. Deterministic and probabilistic sensitivity analyses confirmed the cost-effectiveness of exome sequencing. CONCLUSIONS: Our findings demonstrate the cost-effectiveness of exome sequencing in congenital hearing loss, through increased diagnostic rate and consequent improved process of care by reducing or ceasing diagnostic investigation or facilitating targeted further investigation. We recommend equitable funding for exome sequencing in infants presenting with isolated congenital hearing loss. LEVEL OF EVIDENCE: N/A. Laryngoscope, 131:E2371-E2377, 2021.

The clinical utility of exome sequencing and extended bioinformatic analyses in adolescents and adults with a broad range of neurological phenotypes: an Australian perspective.

Currently there is no secured ongoing funding in Australia for next generation sequencing (NGS) such as exome sequencing (ES) for adult neurological disorders. Studies have focused on paediatric populations in research or highly specialised settings, utilised standard NGS pipelines focusing only on small insertions, deletions and single nucleotide variants, and not explored impacts on management in detail. This prospective multi-site study performed ES and an extended bioinformatics repeat expansion analysis pipeline, on patients with broad phenotypes (ataxia, dementia, dystonia, spastic paraparesis, motor neuron disease, Parkinson's disease and complex/not-otherwise-specified), with symptom onset between 2 and 60 years. Genomic data analysis was phenotype-driven, using virtual gene panels, reported according to American College of Medical Genetics and Genomics guidelines. One-hundred-and-sixty patients (51% female) were included, median age 52 years (range 14-79) and median 9 years of symptoms. 34/160 (21%) patients received a genetic diagnosis. Highest diagnostic rates were in spastic paraparesis (10/25, 40%), complex/not-otherwise-specified (10/38, 26%) and ataxia (7/28, 25%) groups. Findings were considered 'possible/uncertain' in 21/160 patients. Repeat expansion detection identified an unexpected diagnosis of Huntington disease in an ataxic patient with negative ES. Impacts on management, such as more precise and tailored care, were seen in most diagnosed patients (23/34, 68%). ES and a novel bioinformatics analysis pipepline had a substantial diagnostic yield (21%) and management impacts for most diagnosed patients, in heterogeneous, complex, mainly adult-onset neurological disorders in real-world settings in Australia, providing evidence for NGS and complementary multiple, new technologies as valuable diagnostic tools.

Evaluating the resource implications of different service delivery models for offering additional genomic findings.

PURPOSE: To evaluate the resource implications of different delivery models for the provision of additional findings (AF) in genomics from a health-care purchaser perspective. METHODS: Data from the Additional Findings study were used to develop and validate a discrete event simulation model that represented the pathway of delivering AF. Resource implications were estimated by microcosting the consultations, sample verifications, bioinformatics, curation, and multidisciplinary case review meetings. A proof-of-concept model was used to generate costing, and then the simulation model was varied to assess the impact of an automated analysis pipeline, use of telehealth consultation, full automation with electronic decision support, and prioritizing case review for cases with pathogenic variants. RESULTS: For the proof-of-concept delivery model, the average total cost to report AF was US$430 per patient irrespective of result pathogenicity (95% confidence interval [CI] US$375-US$489). However, the cost of per AF diagnosis was US$4349 (95% CI US$3794-US$4953). Alternative approaches to genetic counseling (telehealth, decision support materials) and to multidisciplinary case review (pathogenic AF cases only) lowered the total per patient cost of AF analysis and reporting by 41-51%. CONCLUSION: Resources required to provide AF can be reduced substantially by implementing alternative approaches to counseling and multidisciplinary case review.

A cost-effectiveness analysis of genomic sequencing in a prospective versus historical cohort of complex pediatric patients.

PURPOSE: Cost-effectiveness evaluations of first-line genomic sequencing (GS) in the diagnosis of children with genetic conditions are limited by the lack of well-defined comparative cohorts. We sought to evaluate the cost-effectiveness of early GS in pediatric patients with complex monogenic conditions compared with a matched historical cohort. METHODS: Data, including investigation costs, were collected in a prospective cohort of 92 pediatric patients undergoing singleton GS over an 18-month period (2016-2017) with two of the following: a condition with high mortality, multisystem disease involving three or more organs, or severe limitation of daily function. Comparative data were collected in a matched historical cohort who underwent traditional investigations in the years 2012-2013. RESULTS: GS yielded a diagnosis in 42% while traditional investigations yielded a diagnosis in 23% (p = 0.003). A change in management was experienced by 74% of patients diagnosed following GS, compared with 32% diagnosed following traditional investigations. Singleton GS at a cost of AU$3100 resulted in a mean saving per person of AU$3602 (95% confidence interval [CI] AU$2520-4685). Cost savings occurred across all investigation subtypes and were only minimally offset by clinical management costs. CONCLUSION: GS in complex pediatric patients saves significant costs and doubles the diagnostic yield of traditional approaches.