Evaluating the role of public health in implementation of genomics-related recommendations: a case study of hereditary cancers using the CDC Science Impact Framework

Assessment of Public Health Impact of 20 Non-Research HIV Demonstration Projects by Use of the CDC Science Impact Framework, United States, 2018-2022

Compared with traditional measures of scientific impact, the CDC Science Impact Framework more broadly, directly, and quickly assesses impact of public health science. For 20 CDC-funded HIV prevention projects that were conducted during 2018-2022, health departments documented impact, based on CDC Science Impact Framework domains: Disseminating Science, Creating Awareness, Catalyzing Action, Effecting Change , and Shaping the Future . Health departments reported 282 impacts: the most common were new partnerships (n = 17, Catalyzing Action ), capacity building (n = 16, Effecting Change ), new projects or initiatives begun (n = 15, Shaping the Future ), new collaborations (n = 14, Catalyzing Action ), improved program (n = 13, Shaping the Future ), new guidelines or practices (n = 13, Effecting Change ), and informed persons affected by work (n = 13, Creating Awareness ). Health departments documented substantial impact with a simple, timely, and broad approach. Demonstrating impact is important for community-based organizations, funders, and others interested in public health and helps them better understand the value of public health.

Digital tool for genetic cancer risk assessment in a historically underserved population: a randomized controlled trial

BACKGROUND

Up to 95% of individuals with cancer-predisposing germline pathogenic variants in the U.S. remain unidentified, particularly among historically underserved populations.

OBJECTIVE

In this 2-arm randomized controlled trial, we compared the proportion of high-risk patients identified and recommended for hereditary cancer syndrome genetic testing when risk assessment was performed by a digital tool vs usual clinician interview.

STUDY DESIGN

New gynecology patients at an urban academic clinic were randomized 1:1 to either a digital risk stratification tool or usual clinician-driven interview for genetic risk assessment. Eligibility for genetic testing was determined by criteria set forth by the National Comprehensive Cancer Network. The primary outcome was the proportion of high-risk patients identified and recommended for hereditary cancer syndrome genetic testing. The secondary outcomes were completion of genetic testing and exploration of patient factors including social determinants of health.

RESULTS

From January to December 2023, 100 patients enrolled in the study; 51 were randomized to genetic cancer risk assessment via digital tool and 49 via usual clinician interview. Thirty-nine (39%) patients self-identified as Hispanic, 23 (23%) as non-Hispanic White, 20 (20%) as non-Hispanic Black, 11 (11%) as Asian, 2 (2%) as mixed race, and 5 (5%) preferred not to answer. Most patients had Medicaid insurance (68; 68%), and 32 (32%) reported having a household income of less than $40,000. In the intervention arm, 44 (86%) completed the digital tool. Twenty-one (21%) patients were identified by study personnel as high-risk and met criteria for genetic testing (intervention: 8; control: 13). Use of the genetic cancer risk assessment tool was associated with a higher likelihood of high-risk patients being identified and recommended for genetic testing (7 [88%] vs 2 [15%]; P=.002). Among high-risk patients, 4 (50%) in the intervention arm and 2 (15%) in the control arm proceeded with genetic testing for hereditary cancers (P=.146). Within the intervention arm, social determinants of health did not impact use of the digital tool.

CONCLUSION

In a historically underserved population, the use of a digital genetic cancer risk stratification tool led to increased identification and counseling high-risk patients identified and recommended for genetic testing. The integration of a digital risk stratification tool may work toward mitigating disparities in utilization of genetic services.

Cascade genetic testing for hereditary cancer syndromes: a review of barriers and breakthroughs

Germline genetic sequencing is now at the forefront of cancer treatment and preventative medicine. Cascade genetic testing, or the testing of at-risk relatives, is extremely promising as it offers genetic testing and potentially life-saving risk-reduction strategies to a population exponentially enriched for the risk of carrying a cancer-associated pathogenic variant. However, many relatives do not complete cascade testing due to barriers that span individual, relationship, healthcare community, and societal/policy domains. We have reviewed the published research on cascade testing. Our aim is to evaluate barriers to cascade genetic testing for hereditary cancer syndromes and explore strategies to mitigate these barriers, with the goal of promoting increased uptake of cascade genetic testing.

Population-Level Identification of Patients With Lynch Syndrome for Clinical Care, Quality Improvement, and Research

PURPOSE

Identification of those at risk of hereditary cancer syndromes using electronic health record (EHR) data sources is important for clinical care, quality improvement, and research. We describe diagnostic processes, previously seldom reported, for a common hereditary cancer syndrome, Lynch syndrome (LS), using EHR data within a community-based, multicenter, demographically diverse health system.

METHODS

Within a retrospective cohort enrolled between 2015 and 2020 at Kaiser Permanente Northern California, we assessed electronic diagnostic domains for LS including (1) family history of LS-associated cancer; (2) personal history of LS-associated cancer; (3) LS screening via mismatch repair deficiency (MMRD) testing of newly diagnosed malignancy; (4) germline genetic test results; and (5) clinician-entered diagnostic codes for LS. We calculated proportions and overlap for each diagnostic domain descriptively.

RESULTS

Among 5.8 million individuals, (1) 28,492 (0.49%) had a family history of LS-associated cancer of whom 3,635 (13%) underwent genetic testing; (2) 100,046 (1.7%) had a personal history of a LS-associated cancer; and (3) 8,711 (0.1%) were diagnosed with colorectal cancer of whom 7,533 (86%) underwent MMRD screening and of the positive screens (486), 130 (27%) underwent germline testing. One thousand seven hundred and fifty-seven (0.03%) were diagnosed with endometrial cancer of whom 1,613 (92%) underwent MMRD screening and of the 195 who screened positive, 55 (28%) underwent genetic testing. (4) 30,790 (0.05%) had LS germline genetic testing with 707 (0.01%) testing positive; and (5) 1,273 (0.02%) had a clinician-entered diagnosis of LS.

CONCLUSION

It is feasible to electronically characterize the diagnostic processes of LS. No single data source comprehensively identifies all LS carriers. There is underutilization of LS genetic testing for those eligible and underdiagnosis of LS. Our work informs similar efforts in other settings for hereditary cancer syndromes.

Systematic evidence review and meta-analysis of outcomes associated with cancer genetic counseling

PURPOSE

Genetic counseling (GC) is standard of care in genetic cancer risk assessment (GCRA). A rigorous assessment of the data reported from published studies is crucial to ensure the evidence-based implementation of GC.

METHODS

We conducted a systematic review and meta-analysis of 17 patient-reported and health-services-related outcomes associated with pre- and post-test GC in GCRA in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines and Grading of Recommendations Assessment, Development and Evaluation (GRADE) methodology.

RESULTS

Twenty-five of 5393 screened articles met inclusion criteria. No articles reporting post-test GC outcomes met inclusion criteria. For patient-reported outcomes, pre-test GC significantly decreased worry, increased knowledge, and decreased perceived risk but did not significantly affect patient anxiety, depression, decisional conflict, satisfaction, or intent to pursue genetic testing. For health-services outcomes, pre-test GC increased correct genetic test ordering, reduced inappropriate services, increased spousal support for genetic testing, and expedited care delivery but did not consistently improve cancer prevention behaviors nor lead to accurate risk assessment. The GRADE certainty in the evidence was very low or low. No included studies elucidated GC effect on mortality, cascade testing, cost-effectiveness, care coordination, shared decision making, or patient time burden.

CONCLUSION

The true impact of GC on relevant outcomes is not known low quality or absent evidence. Although a meta-analysis found that pre-test GC had beneficial effects on knowledge, worry, and risk perception, the certainty of this evidence was low according to GRADE methodology. Further studies are needed to support the evidence-based application of GC in GCRA.

Web-based tool for cancer family history collection: A prospective randomized controlled trial

OBJECTIVES

Approximately 1% of individuals have a hereditary cancer predisposition syndrome, however, the majority are not aware. Collecting a cancer family history (CFH) can triage patients to receive genetic testing. To rigorously assess different methods of CFH collection, we compared a web-based tool (WBT) to usual care (clinician collects CFH) in a randomized controlled trial.

METHODS

New gynecologic oncology patients (seen 9/2019-9/2021) were randomized to one of three arms in a 2:2:1 allocation ratio: 1) usual care clinician CFH collection, 2) WBT completed at home, or 3) WBT completed in office. The WBT generated a cancer-focused pedigree and scores on eight validated cancer risk models. The primary outcome was collection of an adequate CFH (based on established guidelines) with usual care versus the WBT.

RESULTS

We enrolled 250 participants (usual care - 110; WBT home - 105; WBT office - 35 [closed early due to COVID-19]). Within WBT arms, 109 (78%) participants completed the tool, with higher completion for office versus home (33 [94%] vs. 76 [72%], P = 0.008). Among participants completing the WBT, 63 (58%) had an adequate CFH versus 5 (5%) for usual care (P < 0.001). Participants completing the WBT were significantly more likely to complete genetic counseling (34 [31%] vs. 15 [14%], P = 0.002) and genetic testing (20 [18%] vs. 9 [8%], P = 0.029). Participant and provider WBT experience was favorable.

CONCLUSIONS

WBTs for CFH collection are a promising application of health information technology, resulting in more comprehensive CFH and a significantly greater percentage of participants completing genetic counseling and testing.

Patient perspectives on risk-reducing salpingectomy with delayed oophorectomy for ovarian cancer risk-reduction: A systematic review of the literature

OBJECTIVE

Increasing evidence suggests the fallopian tube as the site of origin of BRCA1/2-associated high-grade ovarian cancers. Several ongoing trials are evaluating salpingectomy with delayed oophorectomy (RRSDO) for ovarian cancer risk reduction and patients are beginning to ask their clinicians about this surgical option. This study sought to systematically review the available literature examining patient preferences regarding RRSDO and risk-reducing salpingo-oophorectomy (RRSO) to provide clinicians with an understanding of patient values, concerns, and priorities surrounding ovarian cancer risk-reducing surgery.

METHODS

We conducted a systematic review in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines (PROSPERO No.: CRD42023400690). We searched key electronic databases to identify studies evaluating acceptance and surgical decision-making regarding RRSO and RRSDO among patients with an increased risk of ovarian cancer.

RESULTS

The search yielded 239 results, among which six publications met the systematic review inclusion criteria. Acceptance of RRSDO was evaluated in all studies and ranged from 34% to 71%. Factors positively impacting patients' acceptance of RRSDO included: avoidance of surgical menopause, preservation of fertility, concerns about sexual dysfunction, family history of breast cancer, and avoidance of hormone replacement therapy. Factors limiting this acceptance reported by patients included concerns regarding oncologic safety, surgical timing, and surgical complications.

CONCLUSION

To date, few studies have explored patient perspectives surrounding RRSDO. Collectively, the limited data available indicate a high level of acceptance among BRCA1/2 carriers, and provides insight regarding both facilitating and limiting factors associated with patient preferences to better equip clinicians in the counseling and support of their patients.

Assessment of pathogenic variation in gynecologic cancer genes in a national cohort

Population-based estimates of pathogenic variation burden in gynecologic cancer predisposition genes are a prerequisite for the development of effective precision public health strategies. This study aims to reveal the burden of pathogenic variants in a comprehensive set of clinically relevant breast, ovarian, and endometrial cancer genes in a large population-based study. We performed a rigorous manual classification procedure to identify pathogenic variants in a panel of 17 gynecologic cancer predisposition genes in a cohort of 7091 individuals, representing 0.35% of the general population. The population burden of pathogenic variants in hereditary gynecologic cancer-related genes in our study was 2.14%. Pathogenic variants in genes ATM, BRCA1, and CDH1 are significantly enriched and the burden of pathogenic variants in CHEK2 is decreased in our population compared to the control population. We have identified a high burden of pathogenic variants in several gynecologic cancer-related genes in the Slovenian population, most importantly in the BRCA1 gene.

Evaluating Multiple Next-Generation Sequencing-Derived Tumor Features to Accurately Predict DNA Mismatch Repair Status

Identifying tumor DNA mismatch repair deficiency (dMMR) is important for precision medicine. Tumor features, individually and in combination, derived from whole-exome sequenced (WES) colorectal cancers (CRCs) and panel-sequenced CRCs, endometrial cancers (ECs), and sebaceous skin tumors (SSTs) were assessed for their accuracy in detecting dMMR. CRCs (n = 300) with WES, where mismatch repair status was determined by immunohistochemistry, were assessed for microsatellite instability (MSMuTect, MANTIS, MSIseq, and MSISensor), Catalogue of Somatic Mutations in Cancer tumor mutational signatures, and somatic mutation counts. A 10-fold cross-validation approach (100 repeats) evaluated the dMMR prediction accuracy for i) individual features, ii) Lasso statistical model, and iii) an additive feature combination approach. Panel-sequenced tumors (29 CRCs, 22 ECs, and 20 SSTs) were assessed for the top performing dMMR predicting features/models using these three approaches. For WES CRCs, 10 features provided >80% dMMR prediction accuracy, with MSMuTect, MSIseq, and MANTIS achieving ≥99% accuracy. The Lasso model achieved 98.3% accuracy. The additive feature approach, with three or more of six of MSMuTect, MANTIS, MSIseq, MSISensor, insertion-deletion count, or tumor mutational signature small insertion/deletion 2 + small insertion/deletion 7 achieved 99.7% accuracy. For the panel-sequenced tumors, the additive feature combination approach of three or more of six achieved accuracies of 100%, 95.5%, and 100% for CRCs, ECs, and SSTs, respectively. The microsatellite instability calling tools performed well in WES CRCs; however, an approach combining tumor features may improve dMMR prediction in both WES and panel-sequenced data across tissue types.

Precision health in behaviour change interventions: A scoping review

Precision health seeks to optimise behavioural interventions by delivering personalised support to those in need, when and where they need it. Conceptualised a decade ago, progress toward this vision of personally relevant and effective population-wide interventions continues to evolve. This scoping review aimed to map the state of precision health behaviour change intervention research. This review included studies from a broader precision health review. Six databases were searched for studies published between January 2010 and June 2020, using the terms 'precision health' or its synonyms, and including an intervention targeting modifiable health behaviour(s) that was evaluated experimentally. Thirty-one studies were included, 12 being RCTs (39%), and 17 with weak study design (55%). Most interventions targeted physical activity (27/31, 87%) and/or diet (24/31, 77%), with 74% (23/31) targeting two to four health behaviours. Interventions were personalised via human interaction in 55% (17/31) and digitally in 35% (11/31). Data used for personalising interventions was largely self-reported, by survey or diary (14/31, 45%), or digitally (14/31, 45%). Data was mostly behavioural or lifestyle (20/31, 65%), and physiologic, biochemical or clinical (15/31, 48%), with no studies utilising genetic/genomic data. This review demonstrated that precision health behaviour change interventions remain dependent on human-led, low-tech personalisation, and have not fully considered the interaction between behaviour and the social and environmental contexts of individuals. Further research is needed to understand the relationship between personalisation and intervention effectiveness, working toward the development of sophisticated and scalable behaviour change interventions that have tangible public health impact.

Public Interest in Population Genetic Screening for Cancer Risk

An emerging role for DNA sequencing is to identify people at risk for an inherited cancer syndrome in order to prevent or ameliorate the manifestation of symptoms. Two cancer syndromes, Hereditary Breast and Ovarian Cancer and Lynch Syndrome meet the "Tier 1" evidence threshold established by the Centers for Disease Control and Prevention (CDC) for routine testing of patients with a personal or family history of cancer. Advancements in genomic medicine have accelerated public health pilot programs for these highly medically actionable conditions. In this brief report, we provide descriptive statistics from a survey of 746 US respondents from a Qualtrics panel about the public's awareness of genetic testing, interest in learning about their cancer risk, and likelihood of participating in a population genetic screening (PGS) test. Approximately of half the respondents were aware of genetic testing for inherited cancer risk (n = 377/745, 50.6%) and would choose to learn about their cancer risk (n-309/635, 48.7%). Characteristics of those interested in learning about their cancer risk differed by educational attainment, age, income, insurance status, having a primary care doctor, being aware of genetic testing, and likelihood of sharing information with family (p < 0.05). A sizeable majority of the respondents who were interested in about learning their cancer risk also said that they were likely to participate in a PGS test that involved a clinical appointment and blood draw, but no out-of-pocket cost (n = 255/309, 82.5%). Reasons for not wanting to participate included not finding test results interesting or important, concerns about costs, and feeling afraid to know the results. Overall, our results suggest that engaging and educating the general population about the benefits of learning about an inherited cancer predisposition may be an important strategy to address recruitment barriers to PGS.

Structured approaches to implementation of clinical genomics: A scoping review

PURPOSE

This study aimed to assess the extent to which structured approaches to implementation of clinical genomics, proposed or adapted, are informed by evidence.

METHODS

A systematic approach was used to identify peer-reviewed articles and gray literature to report on 4 research questions: 1. What structured approaches have been proposed to support implementation? 2. To what extent are the structured approaches informed by evidence? 3. How have structured approaches been deployed in the genomic setting? 4. What are the intended outcomes of the structured approaches?

RESULTS

A total of 30 unique structured approaches to implementation were reported across 23 peer-reviewed publications and 11 gray literature articles. Most approaches were process models, applied in the preadoption implementation phase, focusing on a "service" outcome. Key findings included a lack of implementation science theory informing the development/implementation of newly designed structured approaches in the genomic setting and a lack of measures to assess implementation effectiveness.

CONCLUSION

This scoping review identified a significant number of structured approaches developed to inform the implementation of genomic medicine into clinical practice, with limited use of implementation science to support the process. We recommend the use of existing implementation science theory and the expertise of implementation scientists to inform the design of genomic programs being implemented into clinical care.

A systematic review of geographical inequities for accessing clinical genomic and genetic services for non-cancer related rare disease

Place plays a significant role in our health. As genetic/genomic services evolve and are increasingly seen as mainstream, especially within the field of rare disease, it is important to ensure that where one lives does not impede access to genetic/genomic services. Our aim was to identify barriers and enablers of geographical equity in accessing clinical genomic or genetic services. We undertook a systematic review searching for articles relating to geographical access to genetic/genomic services for rare disease. Searching the databases Medline, EMBASE and PubMed returned 1803 papers. Screening led to the inclusion of 20 articles for data extraction. Using inductive thematic analysis, we identified four themes (i) Current service model design, (ii) Logistical issues facing clinicians and communities, (iii) Workforce capacity and capability and iv) Rural culture and consumer beliefs. Several themes were common to both rural and urban communities. However, many themes were exacerbated for rural populations due to a lack of clinician access to/relationships with genetic specialist staff, the need to provide more generalist services and a lack of genetic/genomic knowledge and skill. Additional barriers included long standing systemic service designs that are not fit for purpose due to historically ad hoc approaches to delivery of care. There were calls for needs assessments to clarify community needs. Enablers of geographically equitable care included the uptake of new innovative models of care and a call to raise both community and clinician knowledge and awareness to demystify the clinical offer from genetics/genomics services.

Adaptation and early implementation of the PREdiction model for gene mutations (PREMM5™) for lynch syndrome risk assessment in a diverse population

Lynch syndrome (LS) is the most common inherited cause of colorectal and endometrial cancers. Identifying individuals at risk for LS without personal cancer history requires detailed collection and assessment of family health history. However, barriers exist to family health history collection, especially in historically underserved populations. To improve LS risk assessment in historically underserved populations, we adapted the provider-facing PREdiction Model for gene Mutations (PREMM5™ model), a validated LS risk assessment model, into a patient-facing electronic application through an iterative development process involving expert and patient stakeholders. We report on preliminary findings based on the first 500 individuals exposed to the adapted application in a primary care population enriched for low-literacy and low-resource patients. Major adaptations to the PREMM5™ provider module included reduction in reading level, addition of interactive literacy aids, incorporation of family history assessment for both maternal and paternal sides of the family, and inclusion of questions about individual relatives or small groups of relatives to reduce cognitive burden. In the first 500 individuals, 90% completed the PREMM5™ independently; of those, 94% did so in 5 min or less (ranged from 0.2 to 48.8 min). The patient-facing application was able to accurately classify 84% of patients as having clinically significant or not clinically significant LS risk. Our preliminary results suggest that in this diverse study population, most participants were able to rapidly, accurately, and independently complete an interactive application collecting family health history assessment that accurately assessed for Lynch syndrome risk.

A scoping review of social and behavioral science research to translate genomic discoveries into population health impact

Since the completion of the Human Genome Project, progress toward translating genomic research discoveries to address population health issues has been limited. Several meetings of social and behavioral scientists have outlined priority research areas where advancement of translational research could increase population health benefits of genomic discoveries. In this review, we track the pace of progress, study size and design, and focus of genomics translational research from 2012 to 2018 and its concordance with five social and behavioral science recommended priorities. We conducted a review of the literature following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis Guidelines for Scoping Reviews. Steps involved completing a search in five databases and a hand search of bibliographies of relevant literature. Our search (from 2012 to 2018) yielded 4,538 unique studies; 117 were included in the final analyses. Two coders extracted data including items from the PICOTS framework. Analysis included descriptive statistics to help identify trends in pace, study size and design, and translational priority area. Among the 117 studies included in our final sample, nearly half focused on genomics applications that have evidence to support translation or implementation into practice (Centers for Disease Control and Prevention Tier 1 applications). Common study designs were cross-sectional (40.2%) and qualitative (24.8%), with average sample sizes of 716 across all studies. Most often, studies addressed public understanding of genetics and genomics (33.3%), risk communication (29.1%), and intervention development and testing of interventions to promote behavior change (19.7%). The number of studies that address social and behavioral science priority areas is extremely limited and the pace of this research continues to lag behind basic science advances. Much of the research identified in this review is descriptive and related to public understanding, risk communication, and intervention development and testing of interventions to promote behavior change. The field has been slow to develop and evaluate public health-friendly interventions and test implementation approaches that could enable health benefits and equitable access to genomic discoveries. As the completion of the human genome approaches its 20th anniversary, full engagement of transdisciplinary efforts to address translation challenges will be required to close this gap.

Stakeholders' Interest and Attitudes toward Genomic Medicine and Pharmacogenomics Implementation in the United Arab Emirates: A Qualitative Study

BACKGROUND AND AIM

Mapping the power, interest, and stance of stakeholders is a cornerstone for genomic medicine implementation. In this study, we aimed at mapping the power/interest of various stakeholders in United Arab Emirates (UAE) and exploring their attitudes toward pressing health genomics aspects. The overarching aim of this study is to facilitate the construction of a road map for the full implementation of genomic medicine and pharmacogenomics in the UAE with potential applicability to many healthcare systems around the world.

METHODS

A qualitative approach using in-depth interview was employed. Heterogeneous stakeholders were identified by experts in the field. The analysis of the data was a hybrid of deductive and inductive approach using NVivo software for coding and analysis.

RESULTS

13 interviews were conducted. Following mapping the Mendelow's matrix, we categorized the stakeholders in UAE to promoter, latent, defender, and apathetic. Most of the interviewed stakeholders emphasized the clinical demand for genomic medicine in UAE. However, many of them were less inclined to articulate the need for pharmacogenomics at the moment. The majority of stakeholders in UAE were in favor of building infrastructure for better genetic services in the country. Stakeholder from an insurance sector had contradicting stance about the cost-effectiveness of genomic medicine; the majority were concerned with the legal and ethical aspects of genomic medicine and had an opposing stance on direct-to-consumer kits.

CONCLUSIONS

Implementing the Mendelow's model will allow the systematic strategy for implementing genomic medicine in UAE. This can be achieved by engaging the key players (promoters and defenders) as well as engaging and satisfying the latent stakeholder.

A science impact framework to measure impact beyond journal metrics

Measuring the impact of public health science or research is important especially when it comes to health outcomes. Achieving the desired health outcomes take time and may be influenced by several contributors, making attribution of credit to any one entity or effort problematic. Here we offer a science impact framework (SIF) for tracing and linking public health science to events and/or actions with recognized impact beyond journal metrics. The SIF was modeled on the Institute of Medicine's (IOM) Degrees of Impact Thermometer, but differs in that SIF is not incremental, not chronological, and has expanded scope. The SIF recognizes five domains of influence: disseminating science, creating awareness, catalyzing action, effecting change and shaping the future (scope differs from IOM). For public health, the goal is to achieve one or more specific health outcomes. What is unique about this framework is that the focus is not just on the projected impact or outcome but rather the effects that are occurring in real time with the recognition that the measurement field is complex, and it takes time for the ultimate outcome to occur. The SIF is flexible and can be tailored to measure the impact of any scientific effort: from complex initiatives to individual publications. The SIF may be used to measure impact prospectively of an ongoing or new body of work (e.g., research, guidelines and recommendations, or technology) and retrospectively of completed and disseminated work, through linking of events using indicators that are known and have been used for measuring impact. Additionally, linking events offers an approach to both tell our story and also acknowledge other players in the chain of events. The value added by science can easily be relayed to the scientific community, policy makers and the public.

The intersection of genomics and big data with public health: Opportunities for precision public health

Muin Khoury and co-authors discuss anticipated contributions of genomics and other forms of large-scale data in public health.

Implementing Cancer Genomics in State Health Agencies: Mapping Activities to an Implementation Science Outcome Framework

OBJECTIVE

To show how state health agencies can plan and evaluate activities to strengthen the evidence base for public health genomics, we mapped state cancer genomics activities to the Doyle et al. [Genet Med. 2018;20(9):995-1003] implementation science outcome framework.

METHODS

We identified state health agency activities addressing hereditary breast and ovarian cancer and Lynch syndrome by reviewing project narratives from Centers for Disease Control and Prevention Cancer Genomics Program funding recipients, leading discussions with state health agencies, and conducting an environmental scan.

RESULTS

State health agencies' cancer genomics activities included developing or adding to state surveillance systems, developing educational materials, bidirectional reporting, promoting health plan policy change, training providers, and promoting recommendations and standards. To address health disparities, programs have tracked group differences, developed culturally appropriate educational materials, and promoted access to services for underserved populations.

CONCLUSION

State health agencies can use the Doyle et al. [Genet Med. 2018;20(9):995-1003] performance objectives and outcome measures to evaluate proposed and ongoing activities. By demonstrating whether activities result in improved outcomes, state health agencies can build the evidence for the implementation of cancer genomics activities.

Population Screening for Inherited Predisposition to Breast and Ovarian Cancer

The discovery of genes underlying inherited predisposition to breast and ovarian cancer has revolutionized the ability to identify women at high risk for these diseases before they become affected. Women who are carriers of deleterious variants in these genes can undertake surveillance and prevention measures that have been shown to reduce morbidity and mortality. However, under current strategies, the vast majority of women carriers remain undetected until they become affected. In this review, we show that universal testing, particularly of the BRCA1 and BRCA2 genes, fulfills classical disease screening criteria. This is especially true for BRCA1 and BRCA2 in Ashkenazi Jews but is translatable to all populations and may include additional genes. Utilizing genetic information for large-scale precision prevention requires a paradigmatic shift in health-care delivery. To address this need, we propose a direct-to-patient model, which is increasingly pertinent for fulfilling the promise of utilizing personal genomic information for disease prevention.

Utilization of genetic testing in breast cancer treatment after implementation of comprehensive multi-disciplinary care

To evaluate the utilization of genetic testing after implementing a comprehensive multi-disciplinary care (cMDC) program for breast cancer and to assess for racial disparities. This retrospective study included patients newly diagnosed with invasive breast cancer 1 year before and 1 year after implementing a cMDC program to assess the rate of genetic referrals. Appropriate genetic referrals were defined by age, family history, triple-negative status, and personal history based on National Comprehensive Cancer Network guidelines. Secondary outcomes included rates of recommended testing, actual testing, compliance, and equity in genetic referrals across demographics (race, insurance type, and hospital site). Statistical analyses used the Fisher exact test or chi-square test. The 431 patients identified included 116 non-cMDC and 315 cMDC patients. Following implementation of cMDC, a significant increase occurred not only in appropriate genetic referrals (35.3%-55.5%) but also in inappropriate referrals (1.7%-15.5%) (P = .001). Overall attendance increased among both cohorts, Caucasians were more compliant with attending their genetic appointment compared to their African American counterparts (non-cMDC P = .025, cMDC P = .004). In the cMDC group, African Americans demonstrated a 6% increase in attendance compared to a 2% decrease among Caucasians. More appropriate genetic referrals were made to those with private insurance following implementation of cMDC. Utilizing a cMDC approach to breast cancer care may help increase appropriate utilization of genetics.

Direct-to-consumer misleading information on cancer risks calls for an urgent clarification of health genetic testing performed by commercial companies

Direct-to-consumer (DTC) commercial companies offer genetic tests that are presented as allowing individuals the opportunity to increase their capacities to be in charge of their own healthcare managements. DTC companies deny performing medical tests, yet they provide data based on sequencing multigene panel or whole exome. This contradiction allows these companies to escape the requirements of a regulated medical practice that guarantees the quality of the tests, as well as the information and support for tested individuals. Herein, we illustrate the lack of such requirements by analysing the bad experience of a young man who dealt with DTC health genetic testing companies. There is an emergency for DTC testing to be either deprived of any medically relevant information, or carried out in a legally regulated medical framework.

Colorectal Cancer in the Young: Epidemiology, Prevention, Management

Colorectal cancer (CRC) incidence rates in the United States overall have declined since the mid-1980s because of changing patterns in risk factors (e.g., decreased smoking) and increases in screening. However, this progress is increasingly confined to older adults. CRC occurrence has been on the rise in patients younger than age 50, often referred to as early-onset disease, since the mid-1990s. Young patients are more often diagnosed at an advanced stage and with rectal disease than their older counterparts, and they have numerous other unique challenges across the cancer management continuum. For example, young patients are less likely than older patients to have a usual source of health care; often need a more complex treatment protocol to preserve fertility and sexual function; are at higher risk of long-term and late effects, including subsequent primary malignancies; and more often suffer medical financial hardship. Diagnosis is often delayed because of provider- and patient-related factors, and clinicians must have a high index of suspicion if young patients present with rectal bleeding or changes in bowel habits. Educating primary care providers and the larger population on the increasing incidence and characteristic symptoms is paramount. Morbidity can further be averted by increasing awareness of the criteria for early screening, which include a family history of CRC or polyps and a genetic predisposition.

Blending Insights from Implementation Science and the Social Sciences to Mitigate Inequities in Screening for Hereditary Cancer Syndromes

Genomic screening to identify people at high risk for adult-onset hereditary conditions has potential to improve population health. However, if not equitably accessible, genomics-informed screening programs will exacerbate existing health inequities or give rise to new ones. To realize the disease prevention potential of these screening tools, we need strategies to broaden their reach. We propose a conceptual framework that merges insights from implementation science and sociological research on health inequities. Our framework does three things: first, it broadens the arenas of action beyond those typically addressed in implementation science frameworks; second, it argues for recruiting more diverse partners to share the work of implementation and dissemination; and third, it shows how implementation activities can be coordinated more effectively among those partners. We use screening for hereditary breast and ovarian cancers (HBOC) as a case to illustrate how this enhanced framework could guide implementation science and distribute the benefits of genomic medicine more equitably. Although our example is specific to genomics, this approach is more broadly applicable to the field of implementation science. Coordinated action among multiple stakeholders could translate a host of new technologies from the bench to the trench without creating new inequities or exacerbating existing ones.

Calling Variants in the Clinic: Informed Variant Calling Decisions Based on Biological, Clinical, and Laboratory Variables

Deep sequencing genomic analysis is becoming increasingly common in clinical research and practice, enabling accurate identification of diagnostic, prognostic, and predictive determinants. Variant calling, distinguishing between true mutations and experimental errors, is a central task of genomic analysis and often requires sophisticated statistical, computational, and/or heuristic techniques. Although variant callers seek to overcome noise inherent in biological experiments, variant calling can be significantly affected by outside factors including those used to prepare, store, and analyze samples. The goal of this review is to discuss known experimental features, such as sample preparation, library preparation, and sequencing, alongside diverse biological and clinical variables, and evaluate their effect on variant caller selection and optimization.

Personalized Medicine and the Power of Electronic Health Records

Personalized medicine has largely been enabled by the integration of genomic and other data with electronic health records (EHRs) in the United States and elsewhere. Increased EHR adoption across various clinical settings and the establishment of EHR-linked population-based biobanks provide unprecedented opportunities for the types of translational and implementation research that drive personalized medicine. We review advances in the digitization of health information and the proliferation of genomic research in health systems and provide insights into emerging paths for the widespread implementation of personalized medicine.

Healthcare System Priorities for Successful Integration of Genomics: An Australian Focus

This paper examines key considerations for the successful integration of genomic technologies into healthcare systems. All healthcare systems strive to introduce new technologies that are effective and affordable, but genomics offers particular challenges, given the rapid evolution of the technology. In this context we frame internationally relevant discussion points relating to effective and sustainable implementation of genomic testing within the strategic priority areas of the recently endorsed Australian National Health Genomics Policy Framework. The priority areas are services, data, workforce, finances, and person-centred care. In addition, we outline recommendations from a government perspective through the lens of the Australian health system, and argue that resources should be allocated not to just genomic testing alone, but across the five strategic priority areas for full effectiveness.