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

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.

Secondary (additional) findings from the 100,000 Genomes Project: Disease manifestation, health care outcomes, and costs of disclosure

PURPOSE

The UK 100,000 Genomes Project offered participants screening for additional findings (AFs) in genes associated with familial hypercholesterolemia (FH) or hereditary cancer syndromes including breast/ovarian cancer (HBOC), Lynch, familial adenomatous polyposis, MYH-associated polyposis, multiple endocrine neoplasia (MEN), and von Hippel-Lindau. Here, we report disclosure processes, manifestation of AF-related disease, outcomes, and costs.

METHODS

An observational study in an area representing one-fifth of England.

RESULTS

Data were collected from 89 adult AF recipients. At disclosure, among 57 recipients of a cancer-predisposition-associated AF and 32 recipients of an FH-associated AF, 35% and 88%, respectively, had personal and/or family history evidence of AF-related disease. During post-disclosure investigations, 4 cancer-AF recipients had evidence of disease, including 1 medullary thyroid cancer. Six women with an HBOC AF, 3 women with a Lynch syndrome AF, and 2 individuals with a MEN AF elected for risk-reducing surgery. New hyperlipidemia diagnoses were made in 6 FH-AF recipients and treatment (re-)initiated for 7 with prior hyperlipidemia. Generating and disclosing AFs in this region cost £1.4m; £8680 per clinically significant AF.

CONCLUSION

Generation and disclosure of AFs identifies individuals with and without personal or familial evidence of disease and prompts appropriate clinical interventions. Results can inform policy toward secondary findings.

System dynamics simulation for evaluating implementation strategies of genomic sequencing: tutorial and conceptual model

INTRODUCTION

Precision Medicine (PM), especially in oncology, involve diagnostic and complex treatment pathways that are based on genomic features. To conduct evaluation and decision analysis for PM, advanced modeling techniques are needed due to its complexity. Although System Dynamics (SD) has strong modeling power, it has not been widely used in PM and individualized treatment.

AREAS COVERED

We explained SD tools using examples in cancer context and the rationale behind using SD for genomic testing and personalized oncology. We compared SD with other Dynamic Simulation Modelling (DSM) methods and listed SD's advantages. We developed a conceptual model using Causal Loop Diagram (CLD) for strategic decision-making in Whole Genome Sequencing (WGS) implementation.

EXPERT OPINION

The paper demonstrates that SD is well-suited for health policy evaluation challenges and has useful tools for modeling precision oncology and genomic testing. SD's system-oriented modeling captures dynamic and complex interactions within systems using feedback loops. SD models are simple to implement, utilize less data and computational resources, and conduct both exploratory and explanatory analyses over time. If the targeted system has complex interactions and many components, deals with lack of data, and requires interpretability and clinicians' input, SD offers attractive advantages for modeling and evaluating scenarios.

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.