Finding Out What Matters in Decision-Making Related to Genomics and Personalized Medicine in Pediatric Oncology: Developing Attributes to Include in a Discrete Choice Experiment

How is Value Defined in Molecular Testing in Cancer? A Scoping Review

OBJECTIVE

To identify how value is defined in studies that focus on the value of molecular testing in cancer and the extent to which broadening the conceptualisation of value in healthcare has been applied in the molecular testing literature.

METHODS

A scoping review was undertaken using Joanna Briggs Institute (JBI) guidance. Medline, Embase, EconLit and Cochrane Library were searched in August 2023. Articles were eligible if they reported costs relative to outcomes, novel costs, or novel outcomes of molecular testing in cancer. Results were synthesised and qualitative content analysis was performed with deductive and inductive frameworks.

RESULTS

Ninety-one articles were included in the review. The majority (75/91) were conventional economic analyses (comparative economic evaluations and budget impact assessments) and undertaken from a healthcare system perspective (38/91). Clinical outcomes dominate the assessment of value (61/91), with quality-adjusted life-years (QALYs) the most common outcome measure (45/91). Other definitions of value were diverse (e.g. psychological impact, access to trials), inconsistent, and largely not in keeping with evolving guidance.

CONCLUSIONS

Broader concepts of value were not commonly described in the molecular testing literature focusing on cancer. Conventional approaches to measuring the health costs and outcomes of molecular testing in cancer prevail with little focus on non-clinical elements of value. There are emerging reports of non-clinical outcomes of testing information, particularly psychological consequences. Intrinsic attributes of the testing process and preferences of those who receive testing information may determine the realised societal value of molecular testing and highlight challenges to implementing such a value framework.

Therapeutic biomarkers in acute myeloid leukemia: functional and genomic approaches

Acute myeloid leukemia (AML) is clinically and genetically a heterogeneous disease characterized by clonal expansion of abnormal hematopoietic progenitors. Genomic approaches to precision medicine have been implemented to direct targeted therapy for subgroups of AML patients, for instance, IDH inhibitors for IDH1/2 mutated patients, and FLT3 inhibitors with FLT3 mutated patients. While next generation sequencing for genetic mutations has improved treatment outcomes, only a fraction of AML patients benefit due to the low prevalence of actionable targets. In recent years, the adoption of newer functional technologies for quantitative phenotypic analysis and patient-derived avatar models has strengthened the potential for generalized functional precision medicine approach. However, functional approach requires robust standardization for multiple variables such as functional parameters, time of drug exposure and drug concentration for making in vitro predictions. In this review, we first summarize genomic and functional therapeutic biomarkers adopted for AML therapy, followed by challenges associated with these approaches, and finally, the future strategies to enhance the implementation of precision medicine.

Current State of Genomics in Nursing: A Scoping Review of Healthcare Provider Oriented (Clinical and Educational) Outcomes (2012-2022)

In the 20 years since the initial sequencing of the human genome, genomics has become increasingly relevant to nursing. We sought to chart the current state of genomics in nursing by conducting a systematic scoping review of the literature in four databases (2012-2022). The included articles were categorized according to the Cochrane Collaboration outcome domains/sub-domains, and thematic analysis was employed to identify key topical areas to summarize the state of the science. Of 8532 retrieved articles, we identified 232 eligible articles. The articles primarily reported descriptive studies from the United States and other high-income countries (191/232, 82%). More than half (126/232, 54.3%) aligned with the "healthcare provider oriented outcomes" outcome domain. Three times as many articles related to the "knowledge and understanding" sub-domain compared to the "consultation process" subdomain (96 vs. 30). Five key areas of focus were identified, including "nursing practice" (50/126, 40%), "genetic counseling and screening" (29/126, 23%), "specialist nursing" (21/126, 17%), "nurse preparatory education" (17/126, 13%), and "pharmacogenomics" (9/126, 7%). Only 42/126 (33%) articles reported interventional studies. To further integrate genomics into nursing, study findings indicate there is a need to move beyond descriptive work on knowledge and understanding to focus on interventional studies and implementation of genomics into nursing practice.

Cancer Survivor Preferences for Models of Breast Cancer Follow-Up Care: Selecting Attributes for Inclusion in a Discrete Choice Experiment

BACKGROUND AND OBJECTIVE

It is critical to evaluate cancer survivors' preferences when developing follow-up care models to better address the needs of cancer survivors. This study was conducted to understand the key attributes of breast cancer follow-up care for use in a future discrete choice experiment (DCE) survey.

METHODS

Key attributes of breast cancer follow-up care models were generated using a multi-stage, mixed-methods approach. Focus group discussions were conducted with cancer survivors and clinicians to generate a range of attributes of current and ideal follow-up care. These attributes were then prioritised using an online survey with survivors and healthcare providers. The DCE attributes and levels were finalised via an expert panel discussion based on the outcomes of the previous stages.

RESULTS

Four focus groups were held, two with breast cancer survivors (n = 7) and two with clinicians (n = 8). Focus groups generated sixteen attributes deemed important for breast cancer follow-up care models. The prioritisation exercise was conducted with 20 participants (14 breast cancer survivors and 6 clinicians). Finally, the expert panel selected five attributes for a future DCE survey tool to elicit cancer survivors' preferences on breast cancer follow-up care. The final attributes included: the care team, allied health and supportive care, survivorship care planning, travel for appointments, and out-of-pocket costs.

CONCLUSIONS

Attributes identified can be used in future DCE studies to elicit cancer survivors' preferences for breast cancer follow-up care. This strengthens the design and implementation of follow-up care programs that best suit the needs and expectations of breast cancer survivors.

Translating Precision Health for Pediatrics: A Scoping Review

Precision health aims to personalize treatment and prevention strategies based on individual genetic differences. While it has significantly improved healthcare for specific patient groups, broader translation faces challenges with evidence development, evidence appraisal, and implementation. These challenges are compounded in child health as existing methods fail to incorporate the physiology and socio-biology unique to childhood. This scoping review synthesizes the existing literature on evidence development, appraisal, prioritization, and implementation of precision child health. PubMed, Scopus, Web of Science, and Embase were searched. The included articles were related to pediatrics, precision health, and the translational pathway. Articles were excluded if they were too narrow in scope. In total, 74 articles identified challenges and solutions for putting pediatric precision health interventions into practice. The literature reinforced the unique attributes of children and their implications for study design and identified major themes for the value assessment of precision health interventions for children, including clinical benefit, cost-effectiveness, stakeholder values and preferences, and ethics and equity. Tackling these identified challenges will require developing international data networks and guidelines, re-thinking methods for value assessment, and broadening stakeholder support for the effective implementation of precision health within healthcare organizations. This research was funded by the SickKids Precision Child Health Catalyst Grant.

Quality of Life (QoL) of Children and Adolescents Participating in a Precision Medicine Trial for High-Risk Childhood Cancer

Precision medicine is changing the treatment of childhood cancer globally, however little is known about quality of life (QoL) in children and adolescents participating in precision medicine trials. We examined QoL among patients enrolled in PRISM, the Zero Childhood Cancer Program's precision medicine trial for high-risk childhood cancer. We assessed patient QoL via self-report (aged 12-17 years) and parent-proxy (aged 4-17 years) completion of the EQ-5D-Y. We analysed data using descriptive statistics and regression models. Patients (n = 23) and parents (n = 136) provided data after trial enrolment and following receipt of trial results and treatment recommendations (n = 8 patients, n = 84 parents). At enrolment, most patients were experiencing at least some difficulty across more than one QoL domain (81% patient self-report, 83% parent report). We did not find strong evidence of a change in QoL between timepoints, or of demographic or disease factors that predicted parent-reported patient QoL (EQ-VAS) at enrolment. There was strong evidence that receiving a treatment recommendation but not a change in cancer therapy was associated with poorer parent-reported patient QoL (EQ-VAS; Mdiff = -22.5, 95% CI: -36.5 to -8.5, p = 0.006). Future research needs to better understand the relationship between treatment decisions and QoL and would benefit from integrating assessment of QoL into routine clinical care.

Continuing the sequence? Towards an economic evaluation of whole genome sequencing for the diagnosis of rare diseases in Scotland

Novel developments in genomic medicine may reduce the length of the diagnostic odyssey for patients with rare diseases. Health providers must thus decide whether to offer genome sequencing for the diagnosis of rare conditions in a routine clinical setting. We estimated the costs of singleton standard genetic testing and trio-based whole genome sequencing (WGS), in the context of the Scottish Genomes Partnership (SGP) study. We also explored what users value about genomic sequencing. Insights from the costing and value assessments will inform a subsequent economic evaluation of genomic medicine in Scotland. An average cost of £1,841 per singleton was estimated for the standard genetic testing pathway, with significant variability between phenotypes. WGS cost £6625 per family trio, but this estimate reflects the use of WGS during the SGP project and large cost savings may be realised if sequencing was scaled up. Patients and families valued (i) the chance of receiving a diagnosis (and the peace of mind and closure that brings); (ii) the information provided by WGS (including implications for family planning and secondary findings); and (iii) contributions to future research. Our costings will be updated to address limitations of the current study for incorporation in budget impact modelling and cost-effectiveness analysis (cost per diagnostic yield). Our insights into the benefits of WGS will guide the development of a discrete choice experiment valuation study. This will inform a user-perspective cost-benefit analysis of genome-wide sequencing, accounting for the broader non-health outcomes. Taken together, our research will inform the long-term strategic development of NHS Scotland clinical genetics testing services, and will be of benefit to others seeking to undertake similar evaluations in different contexts.

What Matters for Evaluating the Quality of Mental Healthcare? Identifying Important Aspects in Qualitative Focus Groups with Service Users and Frontline Mental Health Professionals

Background

Evaluating quality in mental healthcare is essential for ensuring a high-quality experience for service users (SUs). Policy-defined quality indicators, however, risk misalignment with the perspectives of SUs and mental healthcare professionals (MHPs). There is value in exploring how SUs and frontline MHPs think quality should be measured.

Objectives

Our study objectives were to: (1) identify aspects that SUs and MHPs deem important for assessing quality in mental healthcare to help support attribute selection in a subsequent discrete choice experiment and (2) explore similarities and differences between SU and MHPs’ views.

Methods

Semi-structured qualitative focus groups (n = 6) were conducted with SUs (n = 14) and MHPs (n = 8) recruited from a UK National Health Service Trust. A topic guide was generated from a review of UK policy documents and existing data used to measure quality in mental healthcare in England. Transcripts were analysed using a framework analysis.

Results

Twenty-one subthemes were identified, grouped within six themes: accessing mental healthcare; assessing the benefits of care; co-ordinated approach; delivering mental healthcare; individualised care; and role of the person providing care. Themes such as person-centred care, capacity and resources, and receiving the right type of care received more coverage than others. Service users and MHPs displayed high concordance in their views, with minor areas of divergence.

Conclusions

We developed a comprehensive six-theme framework for understanding quality in mental healthcare from the viewpoint of the SU and frontline MHP, which can be used to help inform the selection of a meaningful set of quality indicators in mental health for research and practice.

Supplementary Information

The online version contains supplementary material available at 10.1007/s40271-022-00580-0.

Assessing women’s preferences towards tests that may reveal uncertain results from prenatal genomic testing: Development of attributes for a discrete choice experiment, using a mixed-methods design

Prenatal DNA tests, such as chromosomal microarray analysis or exome sequencing, increase the likelihood of receiving a diagnosis when fetal structural anomalies are identified. However, some parents will receive uncertain results such as variants of uncertain significance and secondary findings. We aimed to develop a set of attributes and associated levels for a discrete-choice experiment (DCE) that will examine parents’ preferences for tests that may reveal uncertain test results. A two phase mixed-methods approach was used to develop attributes for the DCE. In Phase 1, a “long list” of candidate attributes were identified via two approaches: 1) a systematic review of the literature around parental experiences of uncertainty following prenatal testing; 2) 16 semi-structured interviews with parents who had experienced uncertainty during pregnancy and 25 health professionals who return uncertain prenatal results. In Phase 2, a quantitative scoring exercise with parents prioritised the candidate attributes. Clinically appropriate levels for each attribute were then developed. A final set of five attributes and levels were identified: likelihood of getting a result, reporting of variants of uncertain significance, reporting of secondary findings, time taken to receive results, and who tells you about your result. These attributes will be used in an international DCE study to investigate preferences and differences across countries. This research will inform best practice for professionals supporting parents to manage uncertainty in the prenatal setting.

Clinical Utility of Precision Medicine in Pediatric Oncology: A Systematic Review

PURPOSE

Precision medicine uses advanced molecular techniques to guide the use of targeted therapeutic drugs and is an emerging paradigm in pediatric oncology. Clinical evidence related to the efficacy of many novel targeted drugs, however, is currently very limited given the rarity of pediatric cancer and the lack of published evidence for the use of these drugs in children. This systematic review aimed to evaluate the existing evidence for the feasibility and clinical efficacy of precision medicine in pediatric oncology.

METHODS

A systematic review was conducted using the PubMed, Medline, and Embase databases. Clinical trials and observational studies, which used molecular assays such as whole-exome sequencing to identify molecular targets that guided the allocation of targeted cancer drugs and reported clinical outcomes, were included in this review.

RESULTS

Twenty-one clinical trials and observational studies were identified, collectively enrolling 1,408 pediatric patients across nine countries. Therapeutic targets were found in 647 patients (46.0%); however, only 175 of these patients (27.0%) received a targeted drug. Objective responses were recorded for 73 (41.7%) of these 175 patients, only 5.2% of the total sample. Inconsistent outcome reporting and limited comparison with conventional treatment hindered evaluation of the clinical utility of precision medicine.

CONCLUSION

Precision medicine can feasibly identify molecular targets in a clinical setting. However, the inaccessibility of targeted drugs is a significant barrier, restricting the exploration of its therapeutic potential in pediatric oncology. Future clinical trials should endeavor to link the molecular testing results with access to targeted drugs and standardize outcome reporting to advance understanding of the benefits of this novel paradigm in improving patient outcomes.

Attributes Used for Cancer Screening Discrete Choice Experiments: A Systematic Review

BACKGROUND

Evidence from discrete choice experiments can be used to enrich understanding of preferences, inform the (re)design of screening programmes and/or improve communication within public campaigns about the benefits and harms of screening. However, reviews of screening discrete choice experiments highlight significant discrepancies between stated choices and real choices, particularly regarding willingness to undergo cancer screening. The identification and selection of attributes and associated levels is a fundamental component of designing a discrete choice experiment. Misspecification or misinterpretation of attributes may lead to non-compensatory behaviours, attribute non-attendance and responses that lack external validity.

OBJECTIVES

We aimed to synthesise evidence on attribute development, alongside an in-depth review of included attributes and methodological challenges, to provide a resource for researchers undertaking future studies in cancer screening.

METHODS

A systematic review was conducted to identify discrete choice experiments estimating preferences towards cancer screening, dated between 1990 and December 2020. Data were synthesised narratively. In-depth analysis of attributes led to classification into four categories: test specific, service delivery, outcomes and monetary. Attribute significance and relative importance were also analysed. The International Society for Pharmacoeconomics and Outcomes Research conjoint analysis checklist was used to assess the quality of reporting.

RESULTS

Forty-nine studies were included at full text. They covered a range of cancer sites: over half (26/49) examined colorectal screening. Most studies elicited general public preferences (34/49). In total, 280 attributes were included, 90% (252/280) of which were significant. Overall, test sensitivity and mortality reduction were most frequently found to be the most important to respondents.

CONCLUSIONS

Improvements in reporting the identification, selection and construction of attributes used within cancer screening discrete choice experiments are needed. This review also highlights the importance of considering the complexity of choice tasks when considering risk information or compound attributes. Patient and public involvement and stakeholder engagement are recommended to optimise understanding of unavoidably complex choice tasks throughout the design process. To ensure quality and maximise comparability across studies, further research is needed to develop a risk-of-bias measure for discrete choice experiments.

Patients' and professionals' views related to ethical issues in precision medicine: a mixed research synthesis

BACKGROUND

Precision medicine development is driven by the possibilities of next generation sequencing, information technology and artificial intelligence and thus, raises a number of ethical questions. Empirical studies have investigated such issues from the perspectives of health care professionals, researchers and patients. We synthesize the results from these studies in this review.

METHODS

We used a systematic strategy to search, screen and assess the literature for eligibility related to our research question. The initial search for empirical studies in five data bases provided 665 different records and we selected 92 of these publications for inclusion in this review. Data were extracted in a spreadsheet and categorized into different topics representing the views on ethical issues in precision medicine.

RESULTS

Many patients and professionals expect high benefits from precision medicine and have a positive attitude towards it. However, patients and professionals also perceive some risks. Commonly perceived risks include: lack of evidence for accuracy of tests and efficacy of treatments; limited knowledge of patients, which makes informed consent more difficult; possible unavailability of access to precision medicine for underprivileged people and ethnic minorities; misuse of data by insurance companies and employers, potential of racial stigmatization due to genetic information; unwanted communication of incidental findings; changes in doctor-patient-relationship through focusing on data; and the problem that patients could feel under pressure to optimize their health.

CONCLUSIONS

National legislation and guidelines already minimize many risks associated with precision medicine. However, from our perspective some problems require more attention. Should hopes for precision medicine's benefits be fulfilled, then the ethical principle of justice would require an unlimited access to precision medicine for all people. The potential for autonomous patients' decisions must be greatly enhanced by improvements in patient education. Harm from test results must be avoided in any case by the highest possible data security level and communication guidelines. Changes in the doctor-patient relationship and the impact of precision medicine on the quality of life should be further investigated. Additionally, the cost-effectiveness of precision medicine should be further examined, in order to avoid malinvestment.

Understanding decisions to participate in genomic medicine in children's cancer care: A comparison of what influences parents, health care providers, and the general community

BACKGROUND

The emerging role of genomically guided precision medicine in pediatric cancer care presents significant clinical, practical, and ethical challenges. We investigated the factors that influence decision-making in genomic medicine from the perspective of different stakeholders in the context of difficult-to-treat childhood cancer.

METHODS

Health care providers (HCPs), parents of childhood cancer survivors, and general community members completed an online discrete choice experiment survey. Respondents considered whether to recommend (HCPs) or choose (parents/community) a genomically guided approach to pediatric cancer treatment. Respondents completed eight choice questions varying by survival benefit, prognosis, likelihood of finding a target, quality of life (QoL), HCP/parent preference, need for biopsy, cost, and who pays. Data were analyzed using a probability regression model, with findings expressed as relative importance, stated importance, and marginal willingness to pay (mWTP).

RESULTS

One hundred twenty-six HCPs, 130 parents, and 531 community members participated. The probability of recommending/choosing genomically guided treatment increased significantly with better prognosis, survival benefit, improvements in QoL, and decision-making partner support. It decreased with increasing costs and if parents paid for treatment. HCPs were more responsive to all factors but were most influenced by survival outcomes, and parents and community members by QoL. In contrast to these forced choice preference results, HCPs stated they were most influenced by QoL and community members by survival.

CONCLUSION

Our findings support the primacy of QoL in genomic decision-making, with some differences across stakeholders in the other factors influencing decision-making. These findings emphasize the need for high-quality information giving and communication to support genomic medicine choices.

Quantitative Preferences for Lung Cancer Treatment from the Patients' Perspective: A Systematic Review

BACKGROUND

Regulatory agencies as well as private organizations pursue programs that advocate patient centricity and emphasize the importance of dialog with patients. Various methods are applied to elicit the preferences of patients regarding the aspects of treatment they lend more importance to. Decisions on treatment choices are critical to patients with lung cancer because of their poor prognosis and the serious trade-off between safety and efficacy in traditional cytotoxic chemotherapy.

METHODS

We conducted a systematic literature review of quantitative patient preference studies of patients with lung cancer. Our exhaustive search of MEDLINE, CINAHL, EMBASE, PLOS, and SpringerLink identified 15 relevant studies published from January 2000 to April 2020 that enabled us to assess the relative importance of treatment attributes according to lung cancer patients' perspective.

RESULTS

The literature review revealed that patients with lung cancer tend to place a higher weight on efficacy and quality of life (QoL) attributes than on other attributes. Overall survival was found to be the most important among the efficacy attributes. The consequences of adverse events seemed less important than the possible efficacy from therapies. The clinical utility of treatment, such as the route of administration, was generally not considered important. It remains inconclusive whether sociodemographic factors and/or medical history affect the relative importance of a patient's preference.

CONCLUSION

Our systematic review clarified that patients generally prefer a better efficacy profile to a better safety profile, which underscores the importance of improved benefits in anti-lung cancer drug development.

An institutional audit of the use of novel drugs in pediatric oncology

BACKGROUND

Significant challenges persist in treating children with rare, relapsed, or refractory malignancies. Novel molecularly targeted drugs promise improved outcomes for these children with reduced toxicity. However, there is often limited evidence to substantiate their clinical efficacy and guide their use. This raises issues for clinical decision-making, ethical concerns surrounding equity of access to these often-expensive agents, and the management of families' expectations for cure. This audit evaluated the off-label use of novel drugs and associated clinical outcomes in order to guide the development of future clinical and ethical guidelines.

AIM

To evaluate the patterns in the off-label use of novel drugs for treating childhood cancer and the associated clinical outcomes to guide prospective studies and inform ethical and clinical governance protocols for the use of these agents.

METHODS

A retrospective audit was performed for all patients who received novel drugs off-label as treatment for their malignancy at an Australian pediatric oncology center between 2010 and 2019.

RESULTS

One hundred patients with 32 unique diagnoses received 133 novel drugs across 124 regimens. Eighty-four patients received these drugs at the second line of treatment or greater. Novel drug median cost was $15 521 AUD (Range: $6.53 AUD to $258 339 AUD) and was primarily funded by the hospital (N = 60/133, 45.1%) or compassionate access from pharmaceutical companies (N = 52/133, 39.1%). Decision-making related to novel drugs was inconsistently documented. Ninety-one of 124 treatment regimens commenced between 2010 and 2019 resulted in objective responses (73.4%), but only 35 were still ongoing upon review in June 2020 (38.5%). Median response duration was 12.6 months (Range: 0-93.2 months).

CONCLUSIONS

While novel drugs were largely unable to definitively cure patients, most achieved objective responses. Prospective trials and more rigorous documentation are needed to fully inform the future use of these agents given the heterogeneity of their applications.

Genomic Testing for Relapsed and Refractory Lymphoid Cancers: Understanding Patient Values

BACKGROUND

New clinical genomic assays for lymphoid cancers allow for improved disease stratification and prognostication. At present, clinical implementation has been appropriately limited, owing to a paucity of evidence to support clinical and cost effectiveness. Understanding patients' values for precision oncology under conditions of uncertainty can be used to inform priority-setting decisions.

OBJECTIVES

Our objective was to ascertain patients' qualitative preferences and attitudes for prognostic-based genomic testing.

METHODS

Individuals who were diagnosed with lymphoid cancer between 2000 and 2018 in British Columbia, Canada, were recruited to participate in one of three focus groups. A maximum variation sampling technique was used to capture a diversity of perspectives. A patient partner was involved in the development of the focus group topic guide and presentation materials. All sessions were audio recorded and analyzed using NVivo qualitative analysis software, version 12.

RESULTS

In total, 26 participants took part in focus groups held between November 2018 and February 2019. Results illustrate qualitative preference heterogeneity for situations under which individuals would be willing to undergo genomic testing for relapsed lymphoid cancers. Preferences were highly contextualized within personal experiences with disease and treatment protocols. Hypothetical willingness to pay for testing was contingent on invasiveness, the potential for treatment de-escalation, and personal health benefit.

CONCLUSIONS

Patients are supportive and accepting of evidentiary uncertainty up until the point at which they are required to trade-off the potential for improved quality and length of life. Demand for precision medicine is contingent on expectations for benefit alongside an acknowledgment of the opportunity cost required for implementation. The clinical implementation of precision medicine will be required to address evidentiary uncertainty surrounding personal benefit while ensuring equitable access to emerging innovations.