Table 3.
Theme Specific aspect |
Why this aspect was a challenge for HTA | How challenges have been addressed by MSAC (to date) | Examples |
---|---|---|---|
Health condition | |||
Proposed population too broad and heterogenous | Difficult to establish link between specific genotype and disease/risk (clinical validity), no ‘Star Performer’ gene(s) | Redefined (sub)populations for testing based on pathological and clinical characteristics (see Fig. 3) |
1476 1504 |
Less common conditions | Limited clinical and/or epidemiological evidence as required by MSAC approach | Used evidence-based funding recommendations for clinically related populations to support funding for health conditions with less evidence (see Fig. 3) |
1411 1504 |
Natural history of condition not known or not specified | Difficult to define health outcomes for individuals who do not receive testing | Shortened time horizon to reduce uncertainty (e.g. focus on avoidance of diagnostic odyssey) | 1449 |
Pathways of care | |||
Insufficient consideration of how and when an individual would be considered for testing | Unclear if proposed test would replace or be used in addition to current tests | Sought input from a wider range of stakeholders, and/or referred to relevant, current evidence-based guidelines to develop funding advice |
1492 1504 |
Place in diagnostic pathway unclear, especially with regard to use of triaging tests such as tumour histopathology | |||
Pre-test probability of a positive result set at 10% by MSAC | Threshold challenged by Sponsors, due to perceived difficulties in quantifying this probability for many health conditions | Has not been a barrier to funding approvals for testing in affected individuals, in most cases the pre-test probability has been > 10%, and funding has been approved in specific instances where it has been < 10% but there is a high unmet need and high clinical utility |
1411 1449 1504 1534 1573 1598 |
Insufficient consideration of who would request the test (referral for testing) | Broadening the type of health professionals who can request the test might improve access (see below) but might also lower diagnostic yield | Balance between facilitating access and optimising diagnostic yield considered on a case-by-case basis, and type of health professionals specified in the MBS item | All |
Technology | |||
Test performance | Analytic validation against a reference standard is not always possible | Assume 100% sensitivity and specificity | All |
Different types of testing methodologies (see below) associated with a different diagnostic yield | Engagement with stakeholders and experts to identify the testing methodology most likely to be used in practice in Australia, and the relative clinical importance (by condition) of different diagnostic yields |
1534 1573 |
|
Type and range of proposed molecular techniques | Wide range of different techniques used in different combinations, with rapid evolution of new techniques | Assumed most efficient testing approach will be used, so funding approval (generally) does not specify technique(s) | 1554 |
Potential for incidental findings is increased with the use of WES and WGS (see below) | MBS item only specifies WES or WGS if absolutely required | 1476 | |
Rapid emergence of knowledge regarding pathogenic variants | Not feasible (evidence or resources required to undertake HTA) to re-assess a test every time a new variant is identified | Developed MBS item for re-interrogation of whole exome or genome sequence data, and circumstances when this MBS item should apply | 1476 |
Effectiveness | |||
Clinical utility | Insufficient information regarding the impact of test results on clinical management | Relied on clinical assumptions if appropriate, or if too uncertain shortened time frame of analysis to period before and immediately after the test |
1449 1534 |
Insufficient information regarding how change in clinical management impacts health outcomes | |||
‘Star Performer’ genes | Concept was useful for targeted gene panels but was not feasible/appropriate for large gene panels, chromosome analysis, WES or WGS | Relied on management of phenotype (irrespective of specific genes) to inform assessment |
1449 1476 1492 1533 1598 |
Diagnostic yield | Varies based on patient selection and not always available for the proposed population for testing |
Engagement with stakeholders and experts to identify the relative clinical importance, by condition, of different diagnostic yields Redefined the population for testing to align with the available evidence, or assumed transferability of evidence from one population to another |
1476 |
Non-health outcomes | Supporting restoration of ‘reproductive confidence’ as a measure of test impact, without placing a value on avoiding the birth of an affected child | Expressed value in terms of diagnostic yield to avoid any perception that judgements were being made regarding the nature of reproductive decisions made |
1476 1492 1533 |
Developed MBS items for Reproductive partner testing | 1476 | ||
How to value a diagnosis that has no (immediate) clinical utility | Accepted that positive test results can allow access to educational or disability support services and have the potential to become actionable in the future, but only made a qualitative judgement of these benefits, given that MSAC does not take a societal perspective | 1476 | |
Safety | |||
Harms associated with test results | Potential to report ‘off-target’ mutations and variants of unknown significance, at initial sequencing and on re-interrogation | Assumed to be appropriately addressed via genetic counselling (see below) and quality programs in laboratories ensuring only pathogenic mutations are issued on molecular pathology reports |
1476 1533 |
Identification of disorders with no treatments or prevention interventions | |||
Ethics and equity | |||
Funding for pre- and post-test genetic counselling, for probands and for biological relatives | Recognised as integral to patient-centred care, but not coverable by the MBS | Assumed to be delivered by the clinician providing care, and included as a health system cost in the economic evaluations | All |
Equitable access for all eligible individuals | Access will be limited if only clinical geneticists can request a test | Balance between equity and appropriateness of testing assessed by MSAC on a case-by-case basis | All |
Cost effectiveness | |||
Cascade testing | In circumstances where only biological relatives experience benefits from testing, the economic model still needs to include testing of probands | Concept of ‘co-production of utility’ was implemented, which informs the structure of economic models, and allows exploration of cost-effectiveness in first-, second-, and third-degree relatives |
1534 1598 |
Quality of life | Limited evidence of impact of genetic testing on QoL | CUA attempted, but MSAC relied on CEA if the quality of life data were too uncertain, or, an evidence-based economic evaluation in one population was used to inform the decision for a clinically similar condition with less evidence (see Fig. 3) |
1411 1476 1492 1504 |
Limited evidence for utility weights for individuals with health conditions other than cancer or cardiovascular disease | |||
Comparing ICERs | Difficult to directly compare cost-effectiveness across different tests when ICERs expressed in different units | Where possible, additional ICERs have been derived based on a relevant measure of diagnostic yield |
1492 1504 1533 1573 1598 |
Budget impact | |||
Number of individuals likely to be eligible for testing | Number of affected individuals who meet the criteria for testing will be larger than the number of individuals with the specific genetic variants of interest | Sought additional clinical input regarding the prevalence of individuals with the characteristics that would make them eligible for the proposed test |
1449 1598 |
Potential for use in unintended populations | Restrictions on eligibility for testing and on the test referrer | 1476 | |
Downstream costs and cost-offsets | Limited evidence on cost consequences of testing | If highly uncertain then budget impact based solely on costs of testing |
1504 1534 |
Legal issues | |||
Potential to detect non-paternity, consanguinity or incest | Outside the usual range of matters considered by MSAC, and represent broader policy issues that cannot be addressed via the MBS | Not resolved | Potentially all |
Data storage and privacy | |||
Possible forensic uses of sequence data | |||
Implementation | |||
Cascade testing | Limited evidence of rate of uptake of cascade testing in biological relatives | Assumptions made regarding ‘average’ uptake in families, and alternative scenarios tested in sensitivity analyses | All except 1411 |
Uptake of risk-reducing strategies in probands and biological relatives | Limited evidence of rates of uptake of different risk-reducing strategies (and age at uptake) | Assumptions made regarding uptake, which are then tested in sensitivity analyses | All except 1411 |
Health system efficiency | Tension between broad access to cost-ineffective testing versus access to cost-effective testing for individuals at highest risk | Not resolved | 1492 |
CEA, cost-effectiveness analysis; clinical utility; the net health benefit/harm derived from an investigative health technology across all those tested (including true positives, false positives, true negatives, and false negatives); CUA, cost-utility analysis; diagnostic odyssey, the series of investigative services a patients undergoes until they receive a diagnosis; HTA, health technology assessment; ICER, incremental cost-effectiveness ratio; MBS, Medicare Benefits Schedule; MSAC, Medical Services Advisory Committee; QOL, quality of life; star performer; the actionable gene(s) for which the strongest clinical utility and/or cost-effectiveness argument is likely to apply for an affected individual; trio testing, when parents are tested at the same time a child is tested; WES, whole-exome sequencing; WGS, whole-genome sequencing