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1.
Genet Med ; 26(6): 101122, 2024 Mar 14.
Article En | MEDLINE | ID: mdl-38493336

PURPOSE: Digital tools are increasingly incorporated into genetics practice to address challenges with the current model of care. Yet, genetics providers' perspectives on digital tool use are not well characterized. METHODS: Genetics providers across Canada were recruited. Semistructured interviews were conducted to ascertain their perspectives on digital tool use and the clinical practice factors that might inform digital tool integration. A qualitative interpretive description approach was used for analysis. RESULTS: Thirty-three genetics providers across 5 provinces were interviewed. Participants had favorable attitudes toward digital tool use. They were open to using digital tools in the pretest phase of the genetic testing pathway and for some posttest tasks or in a hybrid model of care. Participants expressed that digital tools could enhance efficiency and allow providers to spend more time practicing at the top of scope. Providers also described the need for careful consideration of the potential impact of digitalization on the clinician-patient dynamic, access to and equity of care, and unintended digital burden on providers. CONCLUSION: Genetics providers considered digital tools to represent a viable solution for improving access, efficiency, and quality of care in genetics practice. Successful use of digital tools in practice will require careful consideration of their potential unintended impacts.

2.
Clin Ther ; 45(8): 702-709, 2023 Aug.
Article En | MEDLINE | ID: mdl-37453830

PURPOSE: Although costly, genome-wide sequencing (GWS) detects an extensive range of variants, enhancing our ability to diagnose and assess risk for an increasing number of diseases. In addition to detecting variants related to the indication for testing, GWS can detect secondary variants in BRCA1, BRCA2, and other genes for which early intervention may improve health. As the list of secondary findings grows, there is increased demand for surveillance and management by multiple specialists, adding pressure to constrained health care budgets. Secondary finding testing is actively debated because some consider it opportunistic screening for future health risks that may not manifest. Given the economic implications of secondary finding testing and follow-up and its unproven clinical utility, the objective is to assess the incremental cost-effectiveness of secondary finding ascertainment per case detected and per unit of improved clinical utility in families of children with unexplained suspected genetic conditions undergoing clinical GWS. METHODS: Those undergoing trio genome or exome sequencing are eligible for the study. Positive secondary finding index cases will be matched to negative controls (1:2) based on age group, primary result(s) type, and clinical indication. During the 2-year study, 71 cases and 142 matched controls are expected. Health service use will be collected in patients and 1 adult family member every 6 months. The per-child and per-dyad total cost will be determined by multiplying use of each resource by a corresponding unit price and summing all cost items. Costs will be estimated from the public and societal payer perspectives. The mean cost per child and per dyad for secondary finding-positive and secondary finding-negative groups will be compared statistically. If important demographic differences are observed between groups, ordinary least-squares regression, log transformation, or other nonparametric technique will be used to compare adjusted mean costs. The ratio of the difference in mean cost to the secondary finding yield will be used to estimate incremental cost-effectiveness. In secondary analyses, effectiveness will be estimated using the number of clinical management changes due to secondary findings or the Clinician-Reported Genetic Testing Utility Index (C-GUIDE) score, a validated measure of clinical utility. Sensitivity analysis will be undertaken to assess the robustness of the findings to variation in key parameters. IMPLICATIONS: This study generates key evidence to inform clinical practice and funding allocation related to secondary finding testing. The inclusion of family members and a new measure of clinical utility represent important advancements in economic evaluation in genomics.

3.
Hum Genet ; 142(3): 321-330, 2023 Mar.
Article En | MEDLINE | ID: mdl-36629921

Chatbots, web-based artificial intelligence tools that simulate human conversation, are increasingly in use to support many areas of genomic medicine. However, patient preferences towards using chatbots across the range of clinical settings are unknown. We conducted a qualitative study with individuals who underwent genetic testing for themselves or their child. Participants were asked about their preferences for using a chatbot within the genetic testing journey. Thematic analysis employing interpretive description was used. We interviewed 30 participants (67% female, 50% 50 + years). Participants considered chatbots to be inefficient for very simple tasks (e.g., answering FAQs) or very complex tasks (e.g., explaining results). Chatbots were acceptable for moderately complex tasks where participants perceived a favorable return on their investment of time and energy. In addition to achieving this "sweet spot," participants anticipated that their comfort with chatbots would increase if the chatbot was used as a complement to but not a replacement for usual care. Participants wanted a "safety net" (i.e., access to a clinician) for needs not addressed by the chatbot. This study provides timely insights into patients' comfort with and perceived limitations of chatbots for genomic medicine and can inform their implementation in practice.


Artificial Intelligence , Genetic Services , Child , Humans , Female , Male , Genetic Testing , Patient Preference , Software
4.
J Genet Couns ; 32(1): 197-212, 2023 02.
Article En | MEDLINE | ID: mdl-36128752

Research shows religiosity and spirituality (R/S) influence genetic counseling patients' and families' risk perception, decision-making, and coping. No published studies have examined how genetic counselors respond to patient-initiated R/S statements. This exploratory study examined genetic counselors' response types and reasons for their responses to two prenatal patient's R/S statements. Genetic counselors (n = 225) recruited through a National Society of Genetic Counselors eblast completed a survey containing two hypothetical scenarios regarding a prenatal patient's receipt of a trisomy 18 diagnosis. Scenarios were identical except for the last patient statement: "God makes everything possible…we leave things in his hands" (a deferring statement) or "I feel like God is punishing me for something I did" (an attributing statement). Imagining they were the counselor, participants wrote a response to each scenario and provided reasons for their response. Responses were analyzed using the Helping Skills Verbal Response System. MANOVA and chi-square tests, examining differences in response type based on patient statement (deferring or attributing), participant comfort with R/S, and years of experience, yielded a significant multivariate effect for scenario (p < 0.001). Responses to the deferring statement scenario contained a greater proportion of content statements (p < 0.001), closed questions (p < 0.001), and information-giving (p < 0.001). Responses to the attributing statement scenario contained a greater proportion of open questions (p = 0.05), influencing statements (p < 0.001), and affective statements (p = 0.006). Neither comfort with R/S nor genetic counseling experience significantly affected response type. Thematic analysis of reasons for responses yielded nine themes. Most prevalent were exploration (of the patient's statement), validation, correction (of patient's beliefs), and reassurance. The findings reflect stylistic differences in how and why genetic counselors respond to patients.


Counselors , Pregnancy , Female , Humans , Counselors/psychology , Genetic Counseling/psychology , Patients , Surveys and Questionnaires , Adaptation, Psychological
5.
CMAJ Open ; 10(2): E460-E465, 2022.
Article En | MEDLINE | ID: mdl-35609929

BACKGROUND: Genome-wide sequencing has emerged as a promising strategy for the timely diagnosis of rare diseases, but it is not yet available as a clinical test performed in Canadian diagnostic laboratories. We describe the protocol for evaluating a 2-year pilot project, Genome-wide Sequencing Ontario, to offer high-quality clinical genome-wide sequencing in Ontario, Canada. METHODS: The Genome-wide Sequencing Ontario protocol was codesigned by the Ontario Ministry of Health, the Hospital for Sick Children in Toronto and the Children's Hospital of Eastern Ontario in Ottawa. Enrolment of a prospective cohort of patients began on Apr. 1, 2021. Eligible cases with blood samples available for the index case and both parents (i.e., trios) are randomized to receive exome sequencing or genome sequencing. We will collect patient-level data and ascertain costs associated with the laboratory workflow for exome sequencing and genome sequencing. We will compare point estimates for the diagnostic utility and timeliness of exome sequencing and genome sequencing, and we will determine an incremental cost-effectiveness ratio (expressed as the incremental cost of genome sequencing versus exome sequencing per additional patient with a causal variant detected). INTERPRETATION: Findings from this work will provide robust evidence for the diagnostic utility, cost-effectiveness and timeliness of exome sequencing and genome sequencing, and will be disseminated via academic publications and policy briefs. Findings will inform provincial and cross-provincial policy related to the long-term organization, delivery and reimbursement of clinical-grade genome diagnostics for rare disease.


Rare Diseases , Child , Humans , Ontario/epidemiology , Pilot Projects , Prospective Studies , Randomized Controlled Trials as Topic , Rare Diseases/diagnosis , Rare Diseases/genetics , Exome Sequencing
6.
J Genet Couns ; 31(2): 523-533, 2022 04.
Article En | MEDLINE | ID: mdl-34674352

Genome sequencing (GS) has demonstrated high diagnostic yield in pediatric patients with complex, clinically heterogeneous presentations. Emerging evidence shows generally favorable experiences for patients and families receiving GS. As a result, implementation of GS in pediatrics is gaining momentum. To inform implementation, we conducted a qualitative study to explore the personal utility of GS for parents of children with medical complexity (CMC). GS was performed at an academic tertiary-care center for CMC for whom a genetic etiology was suspected. Following the return of GS results, semi-structured interviews were conducted with 14 parents about their child's diagnostic journey. Of the children whose parents were interviewed, six children received a diagnosis, two received a possible diagnosis, and six did not receive a diagnosis. A predominantly deductive thematic analysis approach to the interview data was used by applying Kohler's personal utility framework to understand affective, cognitive, behavioral and social impacts of GS. Both the diagnosed and undiagnosed groups experienced enhanced emotion-focused coping (affective). The diagnosed group experienced favorable utility related to knowledge of condition (cognitive) and communication with relatives (behavioral). A domain beyond Kohler's framework related to the presence or absence of GS impact on medical management was also described by parents. The deployment of GS late in the diagnostic odyssey and the limited knowledge available for the rare genetic disorders diagnosed in this cohort appeared to diminish the perceived utility of GS. As GS capabilities continue to evolve at a rapid pace and become available earlier in the diagnostic journey, it is important to consider the impact and timing of testing on parents of CMC.


Communication , Parents , Base Sequence , Child , Humans , Parents/psychology , Qualitative Research , Rare Diseases
7.
Mol Genet Metab Rep ; 25: 100664, 2020 Dec.
Article En | MEDLINE | ID: mdl-33101983

Defects in PEX3 are associated with a severe neonatal-lethal form of Zellweger spectrum disorder. We report two moderately affected siblings whose clinical and biochemical phenotypes expand the reported spectrum of PEX3-related disease. Genome sequencing of an adolescent male with progressive movement disorder, spasticity and neurodegeneration, and previous non-diagnostic plasma very-long chain fatty acid analysis, revealed a homozygous likely pathogenic missense variant in PEX3 [c.991G > A; p.(Gly331Arg)]. A younger sibling with significant motor decline since the age of three years was also subsequently found to be homozygous for the familial PEX3 variant. A comprehensive review of the scientific literature identified three additional families with non-lethal infantile- or childhood-onset PEX3-related disease, which together with this clinical report illustrate the potential for highly variable disease severity. Our findings demonstrate the diagnostic utility of genome-wide sequencing for identifying clinically and biochemically heterogeneous inherited metabolic disorders such as the peroxisome biogenesis disorders.

8.
Mol Genet Genomic Med ; 8(2): e1099, 2020 02.
Article En | MEDLINE | ID: mdl-31867882

BACKGROUND: Racial/ethnic minority populations in the United States are consistently underrepresented in genetic research. Large-scale public participation is required to ensure discoveries from precision medicine research are applicable to everyone. To evaluate views toward and facilitators of participation among minority populations in the United States, we conducted a systematic review of literature. METHODS: Six databases were searched for articles published from 2005 to 2018 assessing minority populations' views and/or willingness to participate in genetic research. A thematic framework was applied to extracted data to synthesize findings, and the Socio-Ecological Model was used to evaluate papers. RESULTS: Review of 2,229 titles and abstracts identified 27 papers (n = 8 qualitative, n = 19 quantitative). Themes included knowledge of genetics, engagement in research, facilitators and barriers to participation, and cultural considerations. Understanding of genetics was low, yet the majority of participants were willing to participate in genetic research among all populations included in the literature (range: 57%-97%). Recommendations for research included utilizing community-based participatory approaches, evaluating participants' informational needs, incentivizing participation, and providing direct benefits (e.g., genetic test results). CONCLUSION: Results could influence future study designs that incorporate all levels of the Socio-Ecological Model and better meet the needs of underrepresented groups, thereby ensuring precision medicine research findings are applicable to all.


Genetic Testing , Health Knowledge, Attitudes, Practice/ethnology , Patient Participation/psychology , Precision Medicine/psychology , Ethnicity/psychology , Ethnicity/statistics & numerical data , Humans , Minority Groups/psychology , Minority Groups/statistics & numerical data , Patient Participation/statistics & numerical data , Precision Medicine/statistics & numerical data , Racial Groups/psychology , Racial Groups/statistics & numerical data , United States
9.
Mol Genet Metab Rep ; 19: 100464, 2019 Jun.
Article En | MEDLINE | ID: mdl-30891420

Clinical laboratories have adopted next generation sequencing (NGS) as a gold standard for the diagnosis of hereditary disorders because of its analytic accuracy, high throughput, and potential for cost-effectiveness. We describe the implementation of a single broad-based NGS sequencing assay to meet the genetic testing needs at the University of Minnesota. A single hybrid capture library preparation was used for each test ordered, data was informatically blinded to clinically-ordered genes, and identified variants were reviewed and classified by genetic counselors and molecular pathologists. We performed 2509 sequencing tests from August 2012 till December 2017. The diagnostic yield has remained steady at 25%, but the number of variants of uncertain significance (VUS) included in a patient report decreased over time with 50% of the patient reports including at least one VUS in 2012 and only 22% of the patient reports reporting a VUS in 2017 (p = .002). Among the various clinical specialties, the diagnostic yield was highest in dermatology (60% diagnostic yield) and ophthalmology (42% diagnostic yield) while the diagnostic yield was lowest in gastrointestinal diseases and pulmonary diseases (10% detection yield in both specialties). Deletion/duplication analysis was also implemented in a subset of panels ordered, with 9% of samples having a diagnostic finding using the deletion/duplication analysis. We have demonstrated the feasibility of this broad-based NGS platform to meet the needs of our academic institution by aggregating a sufficient sample volume from many individually rare tests and providing a flexible ordering for custom, patient-specific panels.

10.
J Genet Couns ; 24(2): 358-70, 2015 Apr.
Article En | MEDLINE | ID: mdl-24781713

Compassion fatigue is a state of detachment and isolation experienced when healthcare providers repeatedly engage with patients in distress. Compassion fatigue can hinder empathy and cause extreme tension. Prior research suggests 73.8 % of genetic counselors are at moderate to high risk for compassion fatigue and approximately 1 in 4 have considered leaving the field as a result Injeyan et al. (Journal of Genetic Counseling, 20, 526-540, 2011). Empirical data to establish a reliable profile of genetic counselors at risk for compassion fatigue are limited. Thus the purpose of this study was to establish a profile by assessing relationships between state and trait anxiety, burnout, compassion satisfaction, selected demographics and compassion fatigue risk in practicing genetic counselors. Practicing genetic counselors (n = 402) completed an anonymous, online survey containing demographic questions, the State-Trait Anxiety Inventory, and the Professional Quality of Life scale. Multiple regression analysis yielded four significant predictors which increase compassion fatigue risk (accounting for 48 % of the variance): higher levels of trait anxiety, burnout, and compassion satisfaction, and ethnicity other than Caucasian. Additional findings, study limitations, practice implications, and research recommendations are provided.


Compassion Fatigue/epidemiology , Genetic Counseling/psychology , Health Personnel/psychology , Adult , Anxiety/epidemiology , Burnout, Professional/epidemiology , Demography , Empathy , Female , Humans , Male , Middle Aged , Personal Satisfaction , Quality of Life , Risk , Surveys and Questionnaires , Workforce , Young Adult
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