- Research article
- Open Access
Adopting clinical genomics: a systematic review of genomic literacy among physicians in cancer care
BMC Medical Genomics volume 11, Article number: 18 (2018)
This article investigates the genomic knowledge of oncology care physicians in the adoption of clinical genomics. We apply Rogers’ knowledge framework from his diffusion of innovation theory to identify three types of knowledge in the process of translation and adoption: awareness, how-to, and principles knowledge. The objectives of this systematic review are to: (1) examine the level of knowledge among physicians in clinical cancer genomics, and (2) identify potential interventions or strategies for development of genomic education for oncology practice.
We follow the PRIMSA statement protocol and conduct a search of five relevant electronic databases. Our review focuses on: (1) genomic knowledge of oncogenomics or genomic services in oncology practices among physicians, and (2) interventions or strategies to provide genomic education of oncogenomics for physicians.
We include twenty-one studies in our analysis. Nine focus on interventions to provide genomic education for cancer care. Overall, physicians’ knowledge of oncogenomics among the three types is limited. The genomic literacy of physicians vary by their provider specialty, location, years of practice, and the type of genomic services. The three distinctions of knowledge offer a sophisticated and helpful tool to design effective strategies and interventions to provide genomic education for cancer treatment. In the nine educational intervention studies, the main intervention outcomes are changes in awareness, referral rates, genomic confidence, and genomic knowledge.
Rogers’ diffusion of innovation model allows us to differentiate three types of knowledge in the development and adoption of clinical genomics. This analytical lens can inform potential avenues to design more effective strategies and interventions to provide genomic education for oncology practice. We identified and synthesized a dearth of high quality studies that can inform the most effective educational outcomes of these interventions. Future research should attend to improving applications of genomic services in clinical practices, along with organizational change engendered by genomics in oncology practice.
Clinical genomic testing is becoming an integral part of medical care for oncology practice. For example, in clinical genomic trials for cancer, oncologists collaborate with genome scientists and other medical practitioners to analyze and evaluate meanings of genomic sequencing data for potential cancer treatments, thus bridging the clinical and research settings together . Clinical genomics for cancer have the potential to revolutionize oncology practices into “more flexible, networked research arrangements, and towards using individual patients as model systems for asking biological questions” . The genomic structure of each individual is different and genetic alterations vary from tumor to tumor. As a result of new genomic sequencing technologies, medical practitioners can diagnose, analyze, and treat cancer on the basis of an individual patient’s genome composition. However, one of the major challenges in this process is knowledge translation of genomic services into clinical care. The rapid expansion in genomic science and biomedical innovations produces novel knowledge and information that can generate uncertainty in the clinic and cast doubt among clinicians in terms of how to interpret and apply genomic data into clinical practice [3, 4]. A useful step in meeting this challenge is to understand the current level of knowledge in cancer clinical genomics among physicians.
Knowledge translation of genetics or genomic technologies into clinical practice is a topic that attracts the attention of researchers worldwide. A number of scholars have conducted systematic review studies on the barriers and strategies for the adoption of genomic services: for instance, systematic review studies by Suther and Goodson , Scheuner et al. , and Mikat-Stevens et al.  provide good examples of reporting challenges to the adoption of genetics services by primary care physicians. In a 2008 study, Scheuner et al.  identified several barriers to the delivery of genomic medicine in clinical care including inadequate genomic knowledge in primary care workforce, little awareness about genetics/genomics among consumers, and lack of high quality studies assessing clinical outcomes of genomic medicine. Nearly a decade later, this lack of genomic knowledge among primary care practitioners persists. In a recent study on perceived barriers to genetic services, Mikat-Stevens et al.  point out that deficits in physicians’ genomic knowledge, skills, and confidence are one of the main challenges to the integration of genetic services into clinical practices. To overcome these barriers, a group of researchers from the United Kingdom (U.K.) conducted a systematic review of educational interventions on clinical genetics for primary care physicians . The U.K. review identifies eleven studies on genetics educational interventions that improved both knowledge and confidence of practitioners following the educational programmes. Yet, the authors find little evidence on changes in practice. Hence, the authors point out the need for future educational interventions studies to target more on changes in practice. While these studies contribute an important method for systematic review in perceived barriers and potential strategies to integrate genomic services, the scope of their review is broad and inclusive of all primary care specialties. Yet, genomic literacy and the importance of genomic testing vary by each provider specialty. In this systematic review, we focus solely on the genomic literacy of physicians on the front lines of cancer treatment. In other words, our review highlights physicians’ level of knowledge towards oncogenomics, as well as interventions to provide genomic education for oncology care. As such, the added values of our systematic review to this emerging field of genomic services delivery is an up-to-date systematic review of genomic knowledge among physicians in oncology care and potential strategies for physicians to improve their clinical cancer genomics literacy.
This study investigates the level of knowledge about genomics, known as “genomic literacy,” amongst physicians as captured in the biomedical literature over the last twenty years. The National Human Genome Research Institute at the National Institute of Health defines genomic literacy as the understanding of what a genome is, how genomic science works, and its affordances and limitations, applications, and impacts on society . We employ Rogers’ knowledge translation theory “diffusion of innovations”  to identify and characterize different types of knowledge in the translation process of clinical genomics. Rogers identifies three types of knowledge building: awareness, how-to, and principles-based knowledge. We adapt these for the clinical genomics context. Awareness knowledge refers to having general knowledge or perception of oncogenomics and genomic services. How-to knowledge refers to practical knowledge about the application of oncogenomics and genomic services into oncology practice. Principles-based knowledge pertains to an understanding of the underlying theoretical principles of oncogenomics. Most studies tend to focus on levels of knowledge, such as high or low. While descriptive and instructive, high/low is a narrow framework that provides little insight into why an innovation may or may not be adopted. The three distinctions of knowledge provide a sophisticated and potentially insightful analysis into types of physicians’ literacy of clinical cancer genomics. Rogers’ knowledge framework, therefore, offers a tool to identify shortcomings in knowledge and knowledge translation of clinical genomics. The findings can then inform possible avenues to design effective strategies and interventions to provide genomic education for oncology practice.
The objectives of this systematic review are to (1) examine the level of knowledge among physicians in clinical cancer genomics and (2) identify potential interventions or strategies for the development of genomic education for oncology practice. The overall goal of this systematic review is to provide a holistic and insightful view of the current state of genomic knowledge among physicians in addressing the benefits, risks, and affordances in genomic research and technology.
There are four steps in our review method: (1) data collection, (2) data screening and exclusion, (3) data inclusion, and (4) data analysis. We summarized our reviewing process in a PRISMA flowchart (Fig. 1). First, we identified and collected the articles by searching the following databases: Medline, Cumulative Index to Nursing and Allied Health Literature (CINAHL) Complete, Cochrane Central Register for Controlled Trials, Education Resources Information Center (ERIC), and PsychInfo. Our search covered the time period between January 2003 and July 2017. The rationale for the chosen date is that 2003 marked the completion of the Human Genome Project, which was a significant breakthrough for genetic and genomic research in medical science. In our search strategy, we looked for these terms in the abstract only: genetic education or genetic knowledge or genomic education or genomic knowledge and cancer or oncology. These searches identified 357 articles in total including 104 articles from Medline, 82 from CINAHL, 4 from Cochrane, 17 from ERIC, and 150 from PsychInfo. We removed duplicate papers. We also reviewed reference lists from the selected papers for potentially relevant articles with eight additional articles meeting the criteria after review.
Selection of eligible articles
Our final inclusion criterion for this study was as follows: scholarly articles published in English, in peer-reviewed journals that reported on: (1) genomic knowledge of oncogenomics or genomic services in oncology practices among physicians, and (2) interventions or strategies to provide genomic education of oncogenomics for physicians. The research team reviewed the titles of the resulting 318 articles to assess inclusion eligibility based on the relevancy of the title to the field of genomic knowledge and genomic education. We excluded 226 records due to their irrelevant titles in relation to our systematic review topic. For example, we excluded articles that discussed biomedical research of genomic medicine or other social aspects of genomic medicine such as electronic health records of personalized genomic information, the dilemmas of disclosing incidental findings, clinical utility and validity of genomic information, the consumer satisfaction of genetic health services, genetic discrimination, the social and emotional challenges of genetic diseases on doctors, patients and families genetics education for the public, or internet resources in medical genetics.
Next, the reviewers assessed the remaining 92 articles based on the target population, provider specialty, and method eligibilities. Our target population included only doctors, clinicians, physicians, oncologists, and general practitioners. As a result, we excluded 28 articles because they did not include physician sample. Instead, they targeted patients or public samples (n = 8), nurses and midwives samples (n = 13), or other health professionals such as health educators and genetic counselors (n = 7). We excluded another 36 articles that did not focus on cancer or oncology care. We also excluded 14 articles that were not empirical. In addition, we excluded one article because it only contained three physicians in its study sample. For the final step, we conducted a full-text assessment of the remaining 22 articles. After cleaning the data according to our inclusion criteria, the total population included 21 articles.
Data extraction and analysis
We used NVivo 10 research software to systematically review and code the included studies. The reviewers developed a coding scheme and ensured that all themes were mutually exclusive and exhaustive. For each node, we included several sub-themes to list the potential patterns each article may carry. Relevant data were identified from each article based on two themes: genomic knowledge and educational interventions. The research team then used the protocol outlined by the Centre for Reviews and Dissemination  to extract and enter data from reviewed studies in two tables outlining genomic knowledge and educational interventions. We extracted data from studies that focus on genomic knowledge (Table 1) and organized them in these following themes: (1) study, year, and country that produced the study, (2) methodology, (3) sample, (4) types of cancer (if available), (5) awareness knowledge, (6) how-to and principles knowledge, and (7) limitations of the study. For studies focusing on educational interventions (Table 2), we extracted data as follows: (1) study, year, and country produced the study, (2) aim, (3) methods, (4) participants, (5) intervention, (6) main outcomes of the intervention, and (7) limitations. In the process of coding the articles, we also identified a common theme among six studies that discuss factors associated with ordering, referring, or using genomic sequencing. We extracted the data and organized them into themes and studies (Table 3).
Twelve of the 21 studies we analyzed reported on the general level of genomic knowledge amongst physicians. Table 1 summarizes the findings on the awareness, how-to, and principles-based knowledge reported in these 12 studies.
Awareness knowledge of clinical genomics in oncology care
As the volume and scope of genomic information increases in health care contexts, practitioners will require basic genomic literacy in order to analyze, understand, interpret, and apply genomic information into clinical decisions. Only three out of 21 reviewed studies reported on awareness knowledge of physicians of genomics in cancer care. Our systematic review covered a broad timeframe (January 2003 – July 2017) as we were curious to identify whether the levels of genomic literacy changed over the time period. Our study did indeed show that there was an increase in awareness of BRCA 1/2 mutations and testing between a study published in 2005 and another published in 2011. In 2005, Wideroff et al.  found that the awareness level of paternal inheritance of BRCA 1/2 mutations was 37.5% among the sample physicians. In addition, 34% of those recognized that these mutations exist in less than 10% of breast cancer patients. In 2011, Bellcross et al.  examined the awareness and the use of BRCA 1/2 testing among US primary care physicians. Their study reported that 87% of sampled physicians were aware of breast cancer (BRCA) testing. Although these two studies entail two different aspects of the BRCA 1/2 topic (one was about mutations, the other was about testing), it still indicates an increase in the general awareness among physicians of BRCA 1/2 mutations in breast and ovarian cancer that can be detected by BRCA 1/2 testing. Another genomic testing service identified out of our population of studies is cancer pharmacogenomics (caPGx). caPGx aims to predict responses to cancer treatment therapy and reduce adverse drug reaction based on patients’ genomic variants. A study published in 2014 found that oncologists at a rural site in North Carolina were not well aware of the term “pharmacogenomics” . The overarching theme here shows that there is an increase in awareness knowledge of oncogenomics or basic genomic services in oncology care over time. However, awareness knowledge does not represent a practical or in-depth understanding of how to apply oncogenomics into clinical practices.
How-to knowledge of applying genomic services in oncology care
With regards to how-to knowledge, the central question concerns whether physicians understand how to apply their oncogenomics knowledge into clinical practice. In other words, the how-to knowledge reflects the level of practice of genomic services in oncology care. This can be measured by the referral rates or the utilization of genomic testing services for cancer patients. How-to knowledge also refers to the ability to provide genetic counselling for cancer susceptibility or the ability to communicate and interpret genomic results to patients. The overall how-to knowledge or the practice level among physicians towards oncogenomics ranges between 20% to 40%. This level of how-to knowledge remains consistent over the period of the fifteen years studied. In a study published in 2003, Wideroff et al.  reported that 31% of the sampled U.S. physicians from both primary care and tertiary care had ordered or referred their patients to cancer susceptibility tests (CSTs) or other risk assessment testing. Bellcross et al.  found that although 87% of the sampled physicians were aware of BRCA 1/2 testing, the number of respondents actually ordered at least one test in the past year was only 25%. These findings were consistent with another study published in 2016 that examined the current use of tumor genome sequencing in breast cancer among 215 physicians practicing from 35 countries, 70% of whom are from Europe and 66% work in academic institutions. Gingras et al.  reported that 38% of the participants reported having ordered tumor sequencing for breast cancer patients at the minimum level of once in the past. However, Marzuillo et al.  found the referral rate of predictive genetic testing for breast cancer and colorectal cancer among a random sample of Italian physicians in the previous two years was only 10% and 5% respectively.
The ability to communicate or interpret genomic results among physicians varies across practitioner specialty and the types of genomic services. Freedman et al.  found only 29% of sampled U.S. physicians reported feeling qualified to provide genetic counselling for cancer susceptibility. The researchers also found oncologists tended to feel more qualified than primary care physicians and tertiary care physicians in providing genetic counselling. This finding was consistent with the Dressler et al.  study who found 37% of oncologists in their sample were comfortable in interpreting caPGx test results. A recently-published study examined the level of genomic literacy among medical oncologists involved in a cancer clinical genomics trial . Chow-White et al.  reported 68% of medical oncologists (MOs) somewhat and strongly agree that they feel confident to communicate genomic results to their patients. The study also showed that half of the MOs (58%) are more confident making treatment decisions after learning about their patient’s genome.
Locations of practice can have an impact on the referral rates of cancer genomic testing services among physicians. Koil et al.  reported that physicians in rural areas were less likely to have ordered breast cancer testing than physicians located in urban and suburban areas combined. The how-to knowledge of physicians also varies in terms of the types of genomic testing services. For example, oncologists are more familiar with ordering somatic tests with an average of 100 test orders per year, but much less likely to order germline cancer predisposition tests with an average of 2 test orders per year . The use of caPGx testing also differs depending on the types of cancer tests. Dressler et al.  reported that of those oncologists treating breast cancer, 100% used HER2 gene testing to predict drug response to HERCEPTIN™; 97% used Breast Oncotype DX for chemotherapy treatment decisions, and 32% used CYP2D2 for drug therapy. In addition, of those treating colorectal cancer, only 26% used Oncotype Dx test for colon cancer treatment decisions. Taken together, although the referral or ordering rates of cancer genomic tests range between 20 and 40% over the fifteen-year period, this how-to knowledge varies by practitioner specialty, location of practice, and the types of genomic services offered. How-to knowledge indicates the usage of genetic testing services, but does not necessarily reflect a deeper understanding of clinical genomics. Greater understanding of clinical genomics or genomic testing could result in lower genomic testing uptake, as physicians are more discrete in ordering or referring to testing, only when they deem it necessary. Hence, a higher level of understanding that impacts the usage or application of clinical genomics is principle knowledge of genomics.
Principles knowledge of genomics in oncology care
In the case of clinical genomics, Roger’s concept ‘principles of knowledge’ can help us understand fundamental and theoretical concepts of genomic, epigenomic, and transcript alterations in cancer. This can refer to the underlying working mechanism of genetic mutation(s) causing the cancer. Researchers tend to measure principles knowledge of oncogenomics through knowledge tests or self-reported measurements. In knowledge tests, some researchers designed questions concerned with genomic testing services [13, 17] or genetic mutations causing the cancer . For example, in the Bellcross et al.  study, the researchers asked participated physicians to select clinical risk assessment scenarios for BRCA testing in accordance with U.S. Preventive Task Force (USPSTF) recommendations. The study shows that only 19% of sampled U.S. physicians identified correctly the high and low risk scenarios indicating the need for BRCA testing. Marzuillo et al.  examined the level of knowledge, attitudes and experiences of Italian physicians towards predictive genetic tests, specifically the BRCA 1/2 and APC tests for breast and colorectal cancer. They found that nearly half (43%) of the sample answered correctly all three knowledge questions about BRCA 1/2 testing, but only 17% responded correctly to APC testing. In Wideroff et al.’s study regarding genetic mutations causing breast cancer, only one third of the sample accurately pointed out that BCRA 1/2 mutations (having a mutation in BRCA 1/2 genes) exist in fewer than 10% of breast cancer patients . Furthermore, only 13% of the sample accurately responded that colorectal cancer typically carries more than 50% HNPCC gene penetrance . The study also found that this type of knowledge varies by specialty – for instance, obstetrics and gynaecology (OBGYN) physicians, medical oncologists, and general surgeons tended to answer more correctly to breast/ovarian questions, as were gastroenterologists to colorectal cancer questions.
Four studies used self-reported measurements of knowledge or confidence scale to examine the principles knowledge of genomics in cancer care. Both Gingras et al.  and Gray et al.  found a similar level of 21–22% among their samples reported to have low confidence in their genomic knowledge. Using a self-rated knowledge scale, Chow-White et al.  reported the majority of MOs in their sample acknowledged to have little knowledge about newer genomic technologies (i.e. high-throughput sequencing genotyping) (50%) and whole genome sequencing (41%). Regarding PGx testing, Dressler et al.  pointed out that 33% of oncologists were comfortable with their PGx knowledge. We also identify two factors including locations and years of practice that could influence the principles level of genomic knowledge. Chow-White et al.  found that MOs located in urban/suburban areas (73%) tend to have higher genomic literacy than those located in rural areas (27%). Dressler et al.  noted that oncologists with less than 10 years of practice (48%) tended to be more comfortable with their PGx knowledge than those with more than 10 years of practice (21%). Overall, the levels of principles knowledge of genomics in oncology care vary among physicians in relation to practitioner specialty, years and location of practice, and the types of genomic services.
Interventions to provide genomic education for oncology care
Overview of the reviewed studies: Methods and interventions
The final and most important aspect of this systematic review is to identify potential interventions to deliver genomic education for oncology care to working physicians. The three categories of knowledge framework dissected the genomic literacy among physicians, which allows us to identify more precise educational interventions of genomics in oncology care. In Table 2, we capture nine studies reporting on the educational interventions along with their methods, outcomes, and limitations. The most common methodology used in these studies is quasi-experimental design, including intervention study, along with pre-and post-knowledge assessment surveys [22,23,24,25]. Other studies outline similar methods with a randomized controlled trial of intervention and control group in order to better validate the effectiveness of their intervention [26,27,28,29,30].
The interventions vary by educational theory, content, focus, and delivery length, method and format. Some studies applied an educational outreach theory, known as Kirkpatrick’s framework [27, 28, 31]. The majority of the interventions integrated a variety of delivery formats including in-person training or workshop, online genomic education courses, and online point-of-care genetic resources. Blazer et al.  provided training to 131 participants including 48 community-based physicians across the United States in a longitudinal intervention study to improve the use of genetic cancer risk assessment (GCRA) services. The intervention included three stages: “distance didactic learning, face-to-face training, and [twelve] months of web-based professional development activities” . Similarly, a group of researchers in the Netherlands carried out comprehensive oncogenetics training interventions to improve GPs’ genetic consultations skills. The intervention incorporated “an online Continuing Professional Development (G-eCPD) module, a live genetic continuing professional development (CPD) module, and a “GP and genetics” website” as online point-of-care resources providing practical genetic information applicable in clinical practices . In the nine studies included, three were conducted by researchers from the United Kingdom [26, 29, 30], three originated from the same group of researchers in the Netherlands [25, 27, 28], two were from the same group of researchers in the United States [22, 23], and one was carried out as an international collaboration between researchers in Canada and Kenya . Each of these groups developed their educational materials in collaboration with their national or local professional medical societies. The group of researchers from the Netherlands incorporated an oncogenetics eCPD module developed by the Dutch College of General Practitioners [25, 27, 28]. The intervention conducted by researchers from the United States is the result of the curricular and training resources developed by the City of Hope Cancer Genetics Education Program Network funded by National Cancer Institute [22, 23]. These studies show professional medical societies play an important role in designing genomic education programs for physicians to advance the adoption of genomics into clinical care.
Outcomes of the interventions
Most of the intervention studies aim to target the awareness, how-to and principles knowledge of oncogenomics among physicians. In the awareness and how-to knowledge, researchers aim to improve the referral rates of genomic services or the genetic consultations skills among physicians. For example, Blazer et al.  tested the impact of a cancer genetics education program (CGEP) on improving physicians’ knowledge. Twelve months after the CGEP full day conference, 78% of the respondents among 114 clinician participants reported to have higher level of awareness about cancer genetics. 85% reported to find the information from the CGEP resourceful for their practice. 77% applied the referral guidelines from the program resources to consult genetics risks with their patients, or to order cancer screening tests for their patients. However, the responses in the one-year post-intervention survey were not sufficient to produce convincing evidence on the long-term impact of the intervention. The same group of researchers conducted another study and found the outcomes showed a significant increase in provision of GCRA services (p = .018) and high-risk genetic testing referral rates (p = .004) after fourteen months of participating in a multi-modal interdisciplinary course . The limitation of this study lies in the bias of their study population. The researchers recruited the majority of participants with former training in oncology or genetics. Hence, this educational intervention may not produce the same outcomes with primary care physicians who do not have training in cancer or genetics.
A group of UK-based researchers found 36 general practices that received educational seminars made 89 referral rates compared to 68 referrals made by general practices that did not receive any intervention . The intervention group also tended to produce higher referral rates (referral rate ratio [RRR] = 1.34) with more accurate cancer referrals (RRR = 2.36). However, the sample size of this study was not adequate to demonstrate anything other than very large changes in clinic attendance rates, and in particular not adequate to demonstrate the effectiveness of the intervention. Different formats of delivery can also produce different impacts on how-to knowledge of physicians. After one year of participating in educational modules on oncogenetics, 68% of those attending the live genetic CPD module reported to be more likely to refer patients to a clinical genetics centre than 29% participating in the online G-eCPD module (p < 0.0005) . However, the authors of the study could not validate this finding with the actual clinical genetics referral rates records. A limitation of this study is the self-reporting of long-term genetic consultation skills and referral rates. Also, the number of respondents who participated in the online survey on the genetic competencies and the referral rates was not adequate to demonstrate the statistical power of the data.
Other interventions focus on improving the principles knowledge of oncogenomics. Bethea et al.  examined the effects of genetic outreach education program in supporting practitioners’ confidence and skills in handling familial cancers and other genetic conditions. Respondents in the intervention group reported to be more confident in managing patient questions around familial cancers, collecting the relevant family history information, and making better assessment of genetic risks. However, there were only 29 practitioners in the intervention group, which was not sufficient to demonstrate the effectiveness of the outreach program.
In other studies, the outcomes show increases in genomic knowledge after intervention, yet there is no way of gauging how these gains in knowledge might sustain in the long term or translate into applications of genomics in clinical practice. Hill et al.  designed an interactive educational workshop for physicians in Kenya in order to increase their childhood eye cancer retinoblastoma genetics knowledge. The participants showed an increase in knowledge post-workshop from 72% to 80%, more particularly increased in knowledge of retinoblastoma causative genetics. However, one year later participants’ knowledge returned to baseline (72%). This showed that the participants needed more frequent reinforcement of the educational intervention. The one-year post-workshop finding of this study is not statistically significant as only 12 respondents took the survey. Houwink et al.  tested the long-term impact of online genetics education comprising two-hour online oncogenetics education course, Genetics e-learning Continuing Professional Development (CPD) module. The study yields an increase in knowledge at post-test (0.055 (P < 0.05)) and at retention test (six months later) (0.079 (P < 0.01)). The respondents also showed high satisfaction with the module. In addition, 90% of the participants reported to apply newly acquired knowledge from the module at least once a month. A small proportion of the participants (5%) frequently used knowledge from the module at the minimum level of once a week. However, the effectiveness of this training in daily practice remains uncertain. The participants remained static on their competencies to self identify disease, refer patients to a specialist, and understand the benefits and risks of genetic testing. Despite high satisfaction in the module and increases in knowledge, the how-to and principles knowledge of oncogenomics and genomic services in oncology care did not change. The limitations of this study lie in the small sample size and self-reported measurements of referral rates.
Wilson et al.  evaluated the impact of a multifaceted intervention system to assist general practitioners’ (GPs) confidence and knowledge regarding breast cancer risks. The multifaceted decision-support system is a point-of-care resource developed by GPs in collaboration with clinical geneticists. This system provides educational resources and materials on breast cancer genetics. The intervention and control groups showed no statistically significant difference on their confidence scores. Hence, the intervention was not successful. The intervention’s ineffectiveness may be due to the fact that only a small number of GPs participated in the educational workshop. They might have not also been aware of the decision-supported software and apply it into their clinical practice. In addition, GPs’ confidence in identifying breast cancer genetic risks was a self-reported measurement. Overall, the interventions outlined did not all achieve their goals of improving oncogenomics knowledge among physicians due to many factors such as small sample size, self-reported measurements, or unsustained knowledge gain.
Factors associated with ordering, referring, or using genomic sequencing
We also focused our analysis on identifying which factors promote an increase in using genomic services in oncology. Six studies in our population identified factors associated with ordering, referring, or using genomic services in oncology practice (Table 3). We categorized these factors into five themes: (1) increases in knowledge, skills, and education, (2) geographical factors, (3) patient interests, requests, and personal health records, (4) professional guidelines, and (5) clinical utility of oncogenomics. Having higher genomic confidence, adequate knowledge of predictive testing for cancer, increasing continuing medical education (CME) or educational materials, and having more time allocated for research would result in physicians wanting to use more genomic services in their practice [15,16,17, 20].
Geography also plays a role in influencing the use of genomic services. Physicians reported to be more inclined to use genomic services in cancer care in cases where they had greater proximity and access to genomic testing laboratories, and when their practices were located in urban and suburban areas, and especially in the Northeast of the United States [1, 15, 17, 19]. Gingras et al.  also identified a statistically significant correlation between more frequent uses of tumor genome sequencing and working in Asia among the MOs (OR 5.76, 95% CI 1.57–21.15, p = 0.01). However, this association is questionable as there were only 12 (6%) MOs working in Asia who participated in this study, compared to 151 (70%) MOs working in Europe.
Patient interests and requests for genomic testing is also another significant factor influencing the referral decisions of physicians [17, 19]. Another important determinant for cancer screening referrals is patients’ personal health record or family history of cancer . Furthermore, the availability of professional guidelines for using genomic services endorsed by professional societies such as American Society of Clinical Oncologists (ASCO) would also encourage physicians to use genome services [14, 16]. Regarding the use of cancer pharmacogenomics, there is a clear need for more evidence-based studies or clinical trials demonstrating the clinical utility and effectiveness of the technology .
Knowledge translation of genomics into oncology care
This systematic review provides an insight into the three types of knowledge among physicians towards oncogenomics as well as the outcomes or effectiveness of interventions to provide genomic education for oncology care. We also identify factors associated with the use of genomic services in cancer care among physicians. Genomics is increasingly being adopted in the clinical setting. However, the rapid expansion of genomic research and the clinical uncertainty of the information still engenders doubt, skepticism, and challenges for physicians to fully understand and apply medical genomics into practice [7, 32]. As such, knowledge translation of genomics into oncology care is a slow, thoughtful, and complex process. Our systematic review reveals a number of potential reasons.
We find oncogenomics knowledge among physicians is still limited. We identified an increase in the level of awareness of specific types of oncogenomics such as BRCA 1/2 mutations and testing [13, 15]. However, there are only three studies in our review that discuss the awareness level of oncogenomics among physicians. This makes it difficult to statistically confirm the precise increase in awareness knowledge. Yet we can assume that the rapid development of genomic research and the increasing number of genomics-related publications improves the general awareness level of knowledge of genomic services in cancer care among physicians. This awareness knowledge also represents the surface level of the complex knowledge regime of genomics. The majority of the studies examining the how-to knowledge of oncogenomics focus on the referral or ordering rates of genomic services. The overall level of referral or ordering rates of genomic services among all the reviewed studies ranges between 20 to 40%. Yet, the how-to knowledge of physicians vary by their specialty [15, 18], locations of practice , and the types of genomic services [14, 20]. Due to the nature of provider specialty, ob-gyns are more likely to order BRCA 1/2 testing, whereas pediatricians are much less likely. A recent study also shows that most pediatric providers of the American Academy of Pediatrics are not comfortable in referring their patients to and consulting them about current genomic services . Pediatric patients are an especially vulnerable population that involve a complex system of ethical, social, and legal issues when it comes to genomic testing. Hence, different provider specialty requires different educational interventions that are tailored to their specialty focus and the characteristics of their patients. The practice level or the how-to knowledge of oncogenomics are key types of knowledge for adoption. However, theoretical or principles knowledge of oncogenomics among physicians can offer more nuanced insight into the missing pieces of the knowledge translation of genomics into oncology care.
If physicians do not understand the nature of genomics and how it applies to clinical practice they may not believe the data innovations and/or act on it. We find that subjective scores of genomic literacy such as self-reported confidence or self-rated knowledge tend to be higher than objective scores of genomic literacy such as scales measuring correct answers to knowledge questions. Both Gingras et al.  and Gray et al.  found that about 20% of their sampled physicians reported low genomic confidence. That means the majority of the physicians (80%) are confident about their genomic knowledge. In addition, Chow-White et al.  noted about half of their sample MOs reported to be knowledgeable about genomic technologies. Yet, two studies using knowledge test scales found that the cancer risk assessment knowledge for BRCA 1/2 testing and the underlying knowledge about BRCA 1/2 mutations among physicians in the United States are surprisingly low [12, 13]. Hence, distinguishing between these two principles knowledge constructs would provide a better understanding of how physicians should be educated and which intervention methods should be applied to support physicians in practice. Web-based interventions such as GeneInsight Clinic or Sanford Health Imagenetics Initiative are not genomic educational tools, but point-of-care resources providing support in genomic medicine that can booster physicians’ confidence. Furthermore, similar to how-to knowledge, principles knowledge of physicians vary by their practice specialty , locations  and years of practice , and the types of genomic services . As genomic knowledge tends to be lower with physicians working in rural areas, we suggest detailed attention for future research to both the dissemination of genomic education to these rural areas and their abilities or interests in understanding and adopting genomics in oncology care. These findings provide important clues as to why the knowledge translation of genomics into oncology care is a challenging process, and how it can be improved in the future.
These knowledge assessment studies come with a few limitations. First, the majority of the studies had small sample sizes or a low number of respondents [1, 14, 19,20,21]. This issue challenges the statistical power and the possibility to generalize the findings. Some studies used self-reported measurements of referral rates, confidence, and knowledge level that make the reliability of the data less credible [18, 20, 21]. Two studies used specialty groups as an independent variable to test for meaningful association [12, 15, 17]. However, the numbers of specialty subgroups participants were not adequate to make any statistically significant comparisons. There are also other issues with response bias  and representative nature of the sample . Hence, for future research examining the genomic knowledge among physicians, researchers should pay special attention to the sample size of the population. This is a challenge, since physicians are an elite population that can be reluctant to participate in surveys due to demanding schedules, scarce availability, and high credibility. Researchers should devise strategic plans on how to recruit an adequate number of participants, and how to facilitate an effective process for those participants to volunteer their time. Findings from knowledge test measurements are more reliable than self-reported measurements. However, physicians are a hard-to-reach population. Hence, a survey-based knowledge test could be a demanding request making recruitment very difficult. A work around for measuring referral rates of genomic services could be to check the referral records at the general practices or clinics of physicians.
Educational interventions to provide genomics training for oncology care
One clear signal from our study is a persistent need for educational interventions to improve genomics knowledge for oncology care. We assessed the outcomes of these interventions in order to pinpoint the most effective strategies to advance the knowledge translation of genomics into oncology practice. The majority of the interventions aimed to improve the principles knowledge of oncogenomics in order to increase the referral rates of genomic services. Hence, in order to evaluate the effectiveness of educational interventions, the researchers evaluated the changes in genomic knowledge or confidence and/or the referral rates. In some studies, researchers also assessed the satisfaction scores among the participants with the interventions. Six of nine studies reported increases in genomic confidence and knowledge of physicians after the interventions [22,23,24, 26,27,28]. However, the majority of these studies had low numbers of participants or small sample size. Hence, the effectiveness of these interventions is not statistically significant. Knowledge of genomic topics tended to be subject-specific or designed by different professional medical societies. In some studies, the long-term follow-up effect of the interventions proved to be un-sustained. In addition, some studies used self-reported knowledge or confidence gains, which results in less credibility and reliability of the findings. Three randomized controlled trials studies from the same group of authors reported to find the satisfaction level of their educational interventions to be highly scored [25, 27, 28]. Yet, the sample size of the questionnaires on the satisfaction scores was not adequate to make any statistically significant claim.
Improved genomic confidence or knowledge could potentially lead to higher use of genomic sequencing technologies. Practitioners referral rates of genomic services was reported to improve in four of the nine studies [22, 23, 25, 29]. Yet, some of these studies used self-reported referral rates. This resulted in a mismatch with the actual referral records at clinical genetics centres. Furthermore, higher referral rates do not necessarily mean more accurate or appropriate referrals. Only one study tested the increases in referral rates and the accuracy of the referrals . In order to examine the effects of educational interventions on the how-to knowledge of physicians, researchers should examine the changes of referral rates of the clinics, not of self-reported measurement, and the accuracy of those referrals. Another strategy to assess the effectiveness of the intervention is the applicability of the educational materials in physicians’ daily practice [22, 23, 25, 27, 28]. However, these applicability findings are self-reported measurements. Only one study had empirical data of website visitor analytics to demonstrate that the number of participants visiting the supported genetics website increased . It is challenging to capture the applicability of educational materials in daily practice as the nature of genomics is still full of uncertainty. Through this review, we recognize that many programs have been developed to improve genomic literacy among physicians in cancer care, most of which tailored their interventions with identified competencies and prioritized areas of improvement. Each intervention has its own successes and limitations. From the limitations of all these interventions, we identify an important area of research to study the adoption of genomics in cancer care. We suggest that applying genomics into clinical treatment decisions may require more than just educational guidelines.
As physicians have very limited availability due to heavy workload and time constraints, short-term or long-term interventions could be too cumbersome for practitioners. Increases in genomic knowledge could be a result of long-term exposure to genomic information. Some health educators [34, 35] proposed that ‘just in time’ educational materials or point-of-care resources readily to access by physicians could be an effective way to improve genomic knowledge and assist physicians in using genomics in their daily practice. As genomic research continues to expand exponentially, it is also difficult for educational interventions to keep up with its knowledge expansion. Drawing upon Kirkpatrick’s model , the most optimal educational outcome is changes in organizational structures. Our findings also show that increases in genomic knowledge are only one of the determinants for its adoption. Other factors including geography, easy access to genomic testing, patient interests or requests, availability of professional guidelines for genomic testing, and evidence on clinical utility of genomic information are significant indicators for adopting genomics into oncology practice. More evidence-based support from professional medical societies, increased public awareness, and access to genomic testing is necessary organizational changes for the adoption of genomic services in oncology care.
None of the educational intervention studies examined the organizational change and health gain associated with the intervention. Chow-White et al.  argued that adopting genomics into oncology care will result in organizational changes in medical practices. The authors observed an ongoing interdisciplinary collaboration between physicians, bioinformaticians, and genome scientists in a clinical cancer genomics trial. Oncologists are still the medical stakeholders that have the medical authority to render treatment decisions for patients. However, oncologists increasingly rely on the expertise of genome data scientists to analyze and interpret the results of genomic information. Therefore, as genomics diffuses into oncology care, it will establish a new regime of clinical systems converging genetics, molecular chemistry, biology engineering, and computational biology. As such, clinical genomics for cancer management will create a new style of oncology practices, bringing together an interdisciplinary set of medical stakeholders. This organizational change in oncology practice is worthwhile to investigate for future research.
We find the oncogenomic knowledge of physicians across the three types is limited. However, knowledge levels vary by provider specialty, location and years of practice, and types of genomic services. Future research could use Rogers’ knowledge framework to produce a more nuanced analysis of genomic knowledge among practitioners. It is important to understand how genomic information is processed (principles knowledge) and how it influences the treatment decisions of physicians (how-to knowledge). Educational interventions for oncogenomics in this review have shown many limitations in terms of their sustained effects on improving genomic knowledge of physicians and leading to better use of genomic services. There is a dearth of high quality educational interventions that can inform all of the highest outcome level in the Kirkpatrick framework. Future research in educational interventions Future research should attend to improving applications of genomic services in clinical practices along with organizational change engendered by genomics in oncology practice. The limitation of our review is that we did not perform a statistical synthesis of the results due to the small sample and the inconsistency of study design of our reviewed studies. The strength of this study lies in the systematic organization and analysis of the findings of these 21 significant studies into important themes reflecting the three types of knowledge, and the educational interventions related to the adoption of genomic technologies in oncology practice. As genomic science increasingly becomes parts of oncology care, it is critical for genomic literacy to be adopted and increased among practitioners.
Activated Protein C Gene
American Society of Clinical Oncologists
- BRCA 1/2:
Breast Cancer Type 1/2 Genes
Cancer Genetics Education Program. CPD: Continuing Professional Development
Cumulative Index to Nursing and Allied Health Literature
Education Resource Information Center
Genetic Cancer Risk Assessment
online Continuing Professional Development
Human Genome Project
Preferred Reporting Items for Systematic review and Meta-Analysis Protocols
U.S. Preventive Task Force
Chow-White P, Ha D, Laskin J. Knowledge, attitudes, and values among physicians working with clinical genomics: a survey of medical oncologists. Hum Resour Health. 2017;15(1):42.
Nelson NC, Keating P, Cambrosio A, Aguilar-Mahecha A, Basik M. Testing devices or experimental systems? Cancer clinical trials take the genomic turn. Soc Sci Med. 2014;111:74–83.
Berg JS, Khoury MJ, Evans JP. Deploying whole genome sequencing in clinical practice and public health: meeting the challenge one bin at a time. Genet Med. 2011;13(6):499–504.
Bombard Y. Translating personalized genomic medicine into clinical practice: evidence, values, and health policy. Genome. 2015;58(12):491–7.
Suther S, Goodson P. Barriers to the provision of genetic services by primary care physicians: a systematic review of the literature. Genet Med Off J Am Coll Med Genet. 2003;5(2):70–6.
Scheuner MT, Sieverding P, Shekelle PG. Delivery of genomic medicine for common chronic adult diseases: a systematic review. JAMA. 2008;299(11):1320–34.
Mikat-Stevens NA, Larson IA, Tarini BA. Primary-care providers’ perceived barriers to integration of genetics services: a systematic review of the literature. Genet Med. 2015;17(3):169–76.
Paneque M, Turchetti D, Jackson L, Lunt P, Houwink E, Skirton H. A systematic review of interventions to provide genetics education for primary care. BMC Fam Pract. 2016;17:89.
Hurle B, Citrin T, Jenkins JF, Kaphingst KA, Lamb N, Roseman JE, et al. What does it mean to be genomically literate?: National Human Genome Research Institute meeting report. Genet Med. 2013;15(8):658–63.
Rogers EM. Diffusion of Innovations. New York: Free Press; 2003.
Tacconelli E. Systematic reviews: CRD’s guidance for undertaking reviews in health care. Lancet Infect Dis. 2010;10(4):226.
Wideroff L, Vadaparampil ST, Greene MH, Taplin S, Olson L, Freedman AN. Hereditary breast/ovarian and colorectal cancer genetics knowledge in a national sample of US physicians. J Med Genet. 2005;42(10):749–55.
Bellcross CA, Kolor K, Goddard KAB, Coates RJ, Reyes M, Khoury MJ. Awareness and utilization of BRCA1/2 testing among U.S. primary care physicians. Am J Prev Med. 2011;40(1):61–6.
Dressler LG, Deal AM, Patel J. Cancer pharmacogenomics, adoption by oncologists and patient benefit. Pers Med. 2014;11(2):143–53.
Wideroff L, Freedman AN, Olson L, Klabunde CN, Davis W, Srinath KP, et al. Physician use of genetic testing for cancer susceptibility. Cancer Epidemiol Prev Biomark. 2003;12(4):295–303.
Gingras I, Sonnenblick A, de Azambuja E, Paesmans M, Delaloge S, Aftimos P, et al. The current use and attitudes towards tumor genome sequencing in breast cancer. Sci Rep. 2016;6:22517.
Marzuillo C, De Vito C, Boccia S, D’Addario M, D’Andrea E, Santini P, et al. Knowledge, attitudes and behavior of physicians regarding predictive genetic tests for breast and colorectal cancer. Prev Med. 2013;57(5):477–82.
Freedman AN., Wideroff L, Olson L, Davis W, Klabunde C, Srinath KP., et al. US physicians’ attitudes toward genetic testing for cancer susceptibility. Am J Med Genet A 2003;120A(1):63–71.
Koil CE, Everett JN, Hoechstetter L, Ricer RE, Huelsman KM. Differences in physician referral practices and attitudes regarding hereditary breast cancer by clinical practicenlocation. Genet Med. 2003;5(5):364–9.
Gray SW, Park ER, Najita J, Martins Y, Traeger L, Bair E, et al. Oncologists’ and cancer patients’ views on whole-exome sequencing and incidental findings: results from the CanSeq study. Genet Med Off J Am Coll Med Genet. 2016;18(10):1011–9.
Gray SW, Hicks-Courant K, Cronin A, Rollins BJ, Weeks JC. Physicians’ attitudes about multiplex tumor genomic testing. J Clin Oncol. 2014;32(13):1317–23.
Blazer KR, Grant M, Sand SR, MacDonald DJ, Uman GC, Weitzel JN. Effects of a cancer genetics education programme on clinician knowledge and practice. J Med Genet. 2004;41(7):518–22.
Blazer KR, MacDonald DJ, Culver JO, Huizenga CR, Morgan RJ, Uman GC, et al. Personalized cancer genetics training for personalized medicine: improving community-based healthcare through a genetically literate workforce. Genet Med. 2011;13(9):832–40.
Hill JA, Lee SY, Njambi L, Corson TW, Dimaras H. Cancer genetics education in a low- to middle-income country: evaluation of an interactive workshop for clinicians in Kenya. PLoS One. 2015;10(6):e0129852.
Houwink EJF, Muijtjens AMM, van Teeffelen SR, Henneman L, Rethans JJ, Jacobi F, et al. Effect of comprehensive oncogenetics training interventions for general practitioners, evaluated at multiple performance levels. PLoS One. 2015;10(4):1-13
Bethea J, Qureshi N, Drury N, Guilbert P. The impact of genetic outreach education and support to primary care on practitioner’s confidence and competence in dealing with familial cancers. Community Genet. 2008;11(5):289–94.
Houwink EJF, Muijtjens AMM, van Teeffelen SR, Henneman L, Rethans JJ, van der Jagt LEJ, et al. Effectiveness of oncogenetics training on general practitioners’ consultation skills: a randomized controlled trial. Genet Med. 2014;16(1):45–52.
Houwink EJ, van Teeffelen SR, Muijtjens AM, Henneman L, Jacobi F, van Luijk SJ, et al. Sustained effects of online genetics education: a randomized controlled trial on oncogenetics. Eur J Hum Genet. 2014;22(3):310–6.
Westwood G, Pickering R, Latter S, Little P, Gerard K, Lucassen A, et al. A primary care specialist genetics service: a cluster-randomised factorial trial. Br J Gen Pr. 2012;62(596):e191–7.
Wilson BJ, Torrance N, Mollison J, Watson MS, Douglas A, Miedzybrodzka Z, et al. Cluster randomized trial of a multifaceted primary care decision-support intervention for inherited breast cancer risk. Fam Pract. 2006;23(5):537–44.
Kirkpatrick D. Evaluation of training. Training and development handbook. New York: McGraw-Hill; 1967.
Timmermans S, Tietbohl C, Skaperdas E. Narrating uncertainty: variants of uncertain significance (VUS) in clinical exome sequencing. BioSocieties. 2017;12(3):439-58.
Saul RA, Trotter T, Sease K, Tarini B. Survey of family history taking and genetic testing in pediatric practice. J Community Genet. 2017;8(2):109–15.
Trinidad SB, Fryer-Edwards K, Crest A, Kyler P, Lloyd-Puryear MA, Burke W. Educational needs in genetic medicine: primary care perspectives. Public Health Genomics. 2008;11(3):160–5.
PMC E. Improving genetics education in graduate and continuing health professional education: workshop summary [internet]. Washington (DC): National Academies Press (US); 2015. [cited 2017 Aug 12]. Available from: http://europepmc.org/abstract/med/25674655.
We acknowledge all team members in the GeNA lab (Rebecca Yoshizawa, Pippa Adams,
Stephan Struve, Alberto Lusoli, Lucas Wu, and Anita Charters) for their intellectual work and.
support throughout our research.
We also want to thank the reviewers for their careful and constructive reading of our paper.
There is no funding for this research.
Availability of data and materials
Our systematic review data can be found from five databases: Medline, CINAHL, Cochrane, ERIC, and PsychInfo.
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The Department of Research Ethics Review Board (DORE) at Simon Fraser University approved the study (Approval #2014 s0172).
There is no human participant involved as the subject of this study. Therefore, consent to participate is not applicable.
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Ha, V., Frizzo-Barker, J. & Chow-White, P. Adopting clinical genomics: a systematic review of genomic literacy among physicians in cancer care. BMC Med Genomics 11, 18 (2018). https://doi.org/10.1186/s12920-018-0337-y
- Genomic literacy
- Clinical genomics education
- Genomic services
- Primary care physicians
- Applied cancer genomics
- Health education
- Genomic technologies
- Genomic sciences