Importance of Patient Health Insurance Coverage and Out-of-Pocket Costs for Genomic Testing in Oncologists' Treatment Decisions.

PURPOSE: Use of genomic testing, especially multimarker panels, is increasing in the United States. Not all tests and related treatments are covered by health insurance, which can result in substantial patient out-of-pocket (OOP) costs. Little is known about oncologists' treatment decisions with respect to patient insurance coverage and OOP costs for genomic testing. METHODS: We identified 1,049 oncologists who used multimarker tumor panels from the 2017 National Survey of Precision Medicine in Cancer Treatment. Separate multivariable ordinal logistic regressions examined associations of oncologist-, practice-, and area-level characteristics and oncologists' ratings of importance (very, somewhat, or a little/not important) of insurance coverage and OOP costs for genomic testing in treatment decisions, adjusting for oncologist years of experience, sex, race and ethnicity, specialty, use of next-generation sequencing (NGS) tests, region, tumor boards, patient insurance mix, and area-level socioeconomic characteristics. RESULTS: Among oncologists, 47.3%, 32.7%, and 20.0% reported that patient insurance coverage for genomic testing was very, somewhat, or a little/not important, respectively, in treatment decisions. In addition, 56.9%, 28.0%, and 15.2% reported that OOP costs for testing were very, somewhat, or a little/not important, respectively. In adjusted analyses, oncologists who used NGS tests were more likely to report patient insurance and OOP costs as important (odds ratio [OR], 2.00 [95% CI, 1.16 to 3.45] and OR, 2.12 [95% CI, 1.22 to 3.68], respectively) in treatment decisions compared with oncologists who did not use these tests, as were oncologists who treated solid tumors, rather than only hematological cancers. More years of experience and higher percentages of Medicaid or self-paid/uninsured patients in the practice were associated with reporting insurance coverage (OR, 1.43 [95% CI, 1.09 to 1.89]) and OOP costs (OR, 1.51 [95% CI, 1.13 to 2.01]) as important. Oncologists in practices with molecular tumor boards for genomic tests were less likely to report coverage (OR, 0.63 [95% CI, 0.47 to 0.85]) and OOP costs (OR, 0.72 [95% CI, 0.53 to 0.97]) as important than their counterparts in practices without these tumor boards. CONCLUSION: Most oncologists rate patient health insurance and OOP costs for genomic tests as important considerations in subsequent treatment recommendations. Modifiable factors associated with these ratings can inform interventions to support patient-physician decision making about care.

Opioids and Chronic Pain: Impact of the NIH Pathways to Prevention Evidence-Based Workshop Program.

The National Institutes of Health (NIH) Office of Disease Prevention (ODP) sponsors Pathways to Prevention (P2P), an evidence-based scientific workshop program that helps advance prevention research. Each P2P workshop is presided over by an independent expert panel and informed by a systematic evidence review, scientific presentations, and public input. Post-workshop activities include collaborating with federal agency partners to develop an action plan for addressing key research gaps. Primary outcomes of P2P workshops include developing a research agenda and creating or enhancing initiatives to implement the agenda. In 2014, ODP partnered with the NIH Pain Consortium and two NIH institutes to convene "The Role of Opioids in the Treatment of Chronic Pain." This workshop assessed the state-of-the-science on the long-term effectiveness, safety, and harms of opioid use for managing chronic pain. In 2021, ODP initiated an assessment of the outcomes and impact of the Opioids P2P workshop. We applied an evaluation framework and a mixed methods approach encompassing web analytics, bibliometric assessment, grant portfolio analysis, policy assessment, and key informant interviews. Our data showed that the workshop attracted a broad audience, and its published reports had high impact. The workshop also helped inform over 100 new research projects through grants funded by three federal agencies, as well as national legislation and practice guidelines from influential organizations. In sum, the Opioids P2P workshop and follow-up activities have identified gaps in scientific knowledge, informed clinical practice, and catalyzed change on a national level for addressing the prescription opioid crisis.

Investment in Prevention Health Care Delivery Research by the National Institutes of Health.

BACKGROUND: Research assessing the delivery of preventive health care has considerable potential for improving health outcomes and reducing health care costs for the United States population. OBJECTIVE: To characterize the prevention health care delivery research grant portfolio supported by the National Institutes of Health (NIH). MATERIALS AND METHODS: A random sample of 14,523 NIH research projects funded during 2012-2019 was selected and coded for various study topics using a structured taxonomy. We analyzed the subset of prevention research projects, for which health care delivery was identified as an independent or dependent variable, including study characteristics and funding trends. RESULTS: Overall, 11.2% of NIH-funded prevention research projects were relevant to health care delivery. Of these projects, 68.6% assessed access to care, 53.4% examined quality, and 27.1% assessed costs. Over the study period, the percentage of funded prevention research projects involving health care delivery increased from 10.9%-15.1%. Over half of the projects assessed research related to the prevention of a new health condition, identification of risk factors, or health promotion (55.5%), whereas < half addressed prevention of disease progression/recurrence (40.4%), screening for early disease (20.2%), or screening for risk factors (1.4%). human immunodeficiency virus/acquired immune deficiency syndrome, cancer, and substance use were the most prevalent health topics studied, whereas other topics-such as lung diseases and Alzheimer disease-were less frequently studied. CONCLUSIONS: Health care delivery research comprises a modest portion of the NIH prevention research portfolio and is mostly focused on access and quality of care; cost-related analyses are less prevalent.human immunodeficiency virus/acquired immune deficiency syndrome, cancer, and substance use are frequently studied health topics in this portfolio.

Emerging approaches to multiple chronic condition assessment.

Older adults experience a higher prevalence of multiple chronic conditions (MCCs). Establishing the presence and pattern of MCCs in individuals or populations is important for healthcare delivery, research, and policy. This report describes four emerging approaches and discusses their potential applications for enhancing assessment, treatment, and policy for the aging population. The National Institutes of Health convened a 2-day panel workshop of experts in 2018. Four emerging models were identified by the panel, including classification and regression tree (CART), qualifying comorbidity sets (QCS), the multimorbidity index (MMI), and the application of omics to network medicine. Future research into models of multiple chronic condition assessment may improve understanding of the epidemiology, diagnosis, and treatment of older persons.

Characteristics of Scientific Evidence Informing Changed U.S. Preventive Services Task Force Insufficient Evidence Statements.

INTRODUCTION: The U.S. Preventive Services Task Force (USPSTF) issues "Insufficient Evidence" (I) statements when scientific evidence is inadequate for making recommendations about clinical preventive services. Insufficient Evidence statements may be changed to definitive recommendations if new research closes evidence gaps. This study examines the characteristics of evidence that informed changes from I statements to definitive recommendations, including NIH's role as a funder. METHODS: A total of 11 USPSTF Insufficient Evidence statements that were changed between 2010 and 2019 were assessed. Study designs, bibliometric influence, and funding sources for scientific articles cited in USPSTF evidence reviews were characterized for each I statement. Data were analyzed in 2019-2020. RESULTS: Most I statements (82%) changed to a B grade; an average of 8.4 years elapsed between issuing the I statement and releasing the definitive recommendation. An average of 63 (range=19-253) articles were included in each USPSTF evidence review. NIH support was cited in 28.8% of articles, on average. The proportion of NIH-funded articles reporting RCT designs was similar to that of non-NIH-funded articles (64.5% vs 59.5%). A higher proportion of NIH-funded articles were rated good quality for study design (39.0%) than the proportion of non-NIH-funded articles (24.4%). Bibliometric influence measured by relative citation ratios was higher for NIH-funded (mean=14.78) than for non-NIH-funded (mean=5.07) articles. CONCLUSIONS: Study designs and funding supports varied widely across topics, but overall, NIH was the largest single funder of evidence informing 11 changed USPSTF I statements. Enhanced efforts by NIH and other stakeholders to address I statement evidence gaps are needed.

Measuring Multimorbidity: Selecting the Right Instrument for the Purpose and the Data Source.

BACKGROUND: Adults have a higher prevalence of multimorbidity-or having multiple chronic health conditions-than having a single condition in isolation. Researchers, health care providers, and health policymakers find it challenging to decide upon the most appropriate assessment tool from the many available multimorbidity measures. OBJECTIVE: The objective of this study was to describe a broad range of instruments and data sources available to assess multimorbidity and offer guidance about selecting appropriate measures. DESIGN: Instruments were reviewed and guidance developed during a special expert workshop sponsored by the National Institutes of Health on September 25-26, 2018. RESULTS: Workshop participants identified 4 common purposes for multimorbidity measurement as well as the advantages and disadvantages of 5 major data sources: medical records/clinical assessments, administrative claims, public health surveys, patient reports, and electronic health records. Participants surveyed 15 instruments and 2 public health data systems and described characteristics of the measures, validity, and other features that inform tool selection. Guidance on instrument selection includes recommendations to match the purpose of multimorbidity measurement to the measurement approach and instrument, review available data sources, and consider contextual and other related constructs to enhance the overall measurement of multimorbidity. CONCLUSIONS: The accuracy of multimorbidity measurement can be enhanced with appropriate measurement selection, combining data sources and special considerations for fully capturing multimorbidity burden in underrepresented racial/ethnic populations, children, individuals with multiple Adverse Childhood Events and older adults experiencing functional limitations, and other geriatric syndromes. The increased availability of comprehensive electronic health record systems offers new opportunities not available through other data sources.

National Institutes of Health Advancing Multimorbidity Research.

BACKGROUND: Multimorbidity, the co-occurrence of 2 or more chronic diseases, is more common than having a single chronic disease, especially among persons age 65 years and older. The routine measurement of multimorbidity can facilitate a better understanding of potential causes and interactions and promote more effective treatment and improved outcomes. OBJECTIVES: To present a multimorbidity research framework and identify gaps in the research literature related to multimorbidity. DESIGN: In preparation for an expert panel workshop convened in September 2018, planning committee members reviewed the literature and developed a guiding framework that informed the selection of topics and speakers. RESULTS: The framework, grounded in a patient-centered approach, incorporates the concept of concordant and discordant comorbidity, and includes potential causes, interactions, and outcomes. This work informed workshop presentations and discussion related to identifying and selecting the best available multimorbidity instruments and determining future research needs. CONCLUSIONS: Multimorbidity research can be advanced by addressing gaps in study design and target populations, and by increasing attention to universal outcome measurement.

Oncologists' perceptions of the usefulness of cancer survivorship care plan components.

PURPOSE: The Institute of Medicine recommends that cancer patients receive survivorship care plans (SCP) summarizing information important to the individual's long-term care. The various components of SCPs have varying levels of evidence supporting their impact. We surveyed medical oncologists to better understand how they perceived the relative value of different SCP components. METHODS: Medical oncologists caring for patients in diverse US practice settings were surveyed (357 respondents; participation rate 52.9%) about their perceptions of the usefulness of various components of SCPs to both patients and primary care physicians (PCPs). RESULTS: Oncologists perceived treatment summaries as "very useful" for PCPs but were less likely to perceive them as "very useful" for patients (55% vs. 40%, p < 0.001). Information about the psychological effects of cancer (41% vs. 29%; p < 0.001) and healthy behaviors (67% vs. 41%; p < 0.001) were considered more useful to patients than to PCPs. From 3 to 20% of oncologists believed that any given component of the SCP was not useful to either PCPs or patients. Oncologists who perceived SCPs to be more useful tended to be female or to practice in settings with a fully implemented electronic health record. CONCLUSIONS: Oncologists do not perceive all components of SCPs to be equally useful to both patients and PCPs. To be successfully implemented, the SCP should be efficiently tailored to the unique needs and knowledge of patients and their PCPs. A minority of oncologists appear to be late adopters, suggesting that some resistance to the adoption of SCPs remains.

Sources of Support for Studies That Inform Recommendations of the Community Preventive Services Task Force.

OBJECTIVES: The Community Preventive Services Task Force (CPSTF) makes evidence-based recommendations about preventive services, programs, and policies in community settings to improve public health. CPSTF recommendations are based on systematic evidence reviews. This study examined the sponsors (ie, sources of financial, material, or intellectual support) for publications included in systematic reviews used by the CPSTF to make recommendations during a 9-year period. METHODS: We examined systematic evidence reviews (effectiveness reviews and economic reviews) for CPSTF findings issued from January 1, 2010, through December 31, 2018. We assessed study publications used in these reviews for sources of support; we classified sources as government, nonprofit, industry, or no identified support. We also identified country of origin for each sponsor and the most frequently mentioned sponsors. RESULTS: The CPSTF issued findings based on 144 systematic reviews (106 effectiveness reviews and 38 economic reviews). These reviews included 3846 publications: 3363 publications in effectiveness reviews and 483 publications in economic reviews. Government agencies supported 57.1% (n = 1919) of publications in effectiveness reviews and 59.2% (n = 286) in economic reviews. More than 1500 study sponsors from 36 countries provided support. The National Institutes of Health was the leading sponsor for effectiveness reviews (21.3%; 718 of 3363) and economic reviews (16.2%; 78 of 480), followed by the Centers for Disease Control and Prevention (7.0%; 234 of 3363 effectiveness reviews and 14.8%; 71 of 480 economic reviews). CONCLUSIONS: The evidence base used by the CPSTF was supported by an array of sponsors, with government agencies providing the most support. Study findings highlight the need for sponsorship transparency and the role of government as a leading supporter of studies that underpin CPSTF recommendations for improving public health.

Oncologist Confidence in Genomic Testing and Implications for Using Multimarker Tumor Panel Tests in Practice.

PURPOSE: The evolution of precision oncology increasingly requires oncologists to incorporate genomic testing into practice. Yet, providers' confidence with genomic testing is poorly documented. This article describes medical oncologists' confidence with genomic testing and the association between genomic confidence and test use. METHODS: We used data from the 2017 National Survey of Precision Medicine in Cancer Treatment to characterize oncologists' confidence with genomic testing. Genomic confidence was examined separately by type of test user: next-generation sequencing (NGS) only, gene expression (GE) only, both NGS and GE, or nonuser. Predictors of genomic confidence were examined with multinomial logistic regression. The association between genomic confidence and test use was examined with multivariable linear regression. RESULTS: More than 75% of genomic test users were either moderately or very confident about using results from multimarker tumor panel tests to guide patient care. Confidence with using multimarker tumor panel tests was highest among both NGS and GE test users, with 60.1% very confident in using test results, and lowest among NGS-only test users, with 38.2% very confident in using test results. Oncologists were most confident in using single-gene tests and least confident in using whole-genome or -exome sequencing to guide patient care. Genomic confidence was positively associated with self-reported test use. In adjusted models, training in genomics, larger patient volume, and treating patients with solid tumors predicted higher genomic confidence. Onsite pathology services and receipt of electronic medical record alerts for genomic testing predicted lower genomic confidence. CONCLUSION: Oncologists' confidence varies by testing platform, patient volume, genomic training, and practice infrastructure. Research is needed to identify modifiable factors that can be targeted to enhance provider confidence with genomic testing.

Accuracy of Self-reported Colonic Polyps: Results from the Prostate, Lung, Colorectal, and Ovarian Screening Trial Study of Colonoscopy Utilization.

BACKGROUND: Colonoscopy follow-up recommendations depend on the presence or absence of polyps, and if found, their number, size, and histology. Patients may be responsible for conveying results between primary and specialty care or providing medical information to family members; thus, accurate reporting is critical. This analysis assessed the accuracy of self-reported colonoscopy findings. METHODS: 3,986 participants from the Study of Colonoscopy Utilization, an ancillary study nested within the Prostate, Lung, Colorectal, and Ovarian Screening Trial, were included. Self-reports of polyp and adenoma were compared to medical records, and measures of sensitivity and specificity were calculated. Correlates of accurate self-report of polyp were assessed using logistic regression and weighted to account for study sampling. RESULTS: The sensitivity and specificity of self-reported polyp findings were 88% and 85%, respectively, and for adenoma 11% and 99%, respectively. Among participants with a polyp, older age was associated with lower likelihood while polyp severity and non-white race were associated with increased likelihood of accurate recall. Among participants without a polyp, having multiple colonoscopies was associated with lower likelihood while family history of colorectal cancer was associated with increased likelihood of accurate recall. Among both groups, longer time since colonoscopy was associated with lower likelihood of accurate recall. CONCLUSIONS: Participants recalled with reasonable accuracy whether they had a prior polyp; however, recall of histology, specifically adenoma, was much less accurate. IMPACT: Identification of strategies to increase accurate self-report of colonic polyps are needed, particularly for patient-provider communications and patient reporting of results to family members.

Factors Associated With Oncologist Discussions of the Costs of Genomic Testing and Related Treatments.

BACKGROUND: Use of genomic testing is increasing in the United States. Testing can be expensive, and not all tests and related treatments are covered by health insurance. Little is known about how often oncologists discuss costs of testing and treatment or about the factors associated with those discussions. METHODS: We identified 1220 oncologists who reported discussing genomic testing with their cancer patients from the 2017 National Survey of Precision Medicine in Cancer Treatment. Multivariable polytomous logistic regression analyses were used to assess associations between oncologist and practice characteristics and the frequency of cost discussions. All statistical tests were two-sided. RESULTS: Among oncologists who discussed genomic testing with patients, 50.0% reported often discussing the likely costs of testing and related treatments, 26.3% reported sometimes discussing costs, and 23.7% reported never or rarely discussing costs. In adjusted analyses, oncologists with training in genomic testing or working in practices with electronic medical record alerts for genomic tests were more likely to have cost discussions sometimes (odds ratio [OR] = 2.09, 95% confidence interval [CI] = 1.19 to 3.69) or often (OR = 2.22, 95% CI = 1.30 to 3.79), respectively, compared to rarely or never. Other factors statistically significantly associated with more frequent cost discussions included treating solid tumors (rather than only hematological cancers), using next-generation sequencing gene panel tests, having higher patient volume, and working in practices with higher percentages of patients insured by Medicaid, or self-paid or uninsured. CONCLUSIONS: Interventions targeting modifiable oncologist and practice factors, such as training in genomic testing and use of electronic medical record alerts, may help improve cost discussions about genomic testing and related treatments.

Time to Follow-up After Colorectal Cancer Screening by Health Insurance Type.

INTRODUCTION: The purpose of this study was to test the hypothesis that patients with Medicaid insurance or Medicaid-like coverage would have longer times to follow-up and be less likely to complete colonoscopy compared with patients with commercial insurance within the same healthcare systems. METHODS: A total of 35,009 patients aged 50-64years with a positive fecal immunochemical test were evaluated in Northern and Southern California Kaiser Permanente systems and in a North Texas safety-net system between 2011 and 2012. Kaplan-Meier estimation was used between 2016 and 2017 to calculate the probability of having follow-up colonoscopy by coverage type. Among Kaiser Permanente patients, Cox regression was used to estimate hazard ratios and 95% CIs for the association between coverage type and receipt of follow-up, adjusting for sociodemographics and health status. RESULTS: Even within the same integrated system with organized follow-up, patients with Medicaid were 24% less likely to complete follow-up as those with commercial insurance. Percentage receiving colonoscopy within 3 months after a positive fecal immunochemical test was 74.6% for commercial insurance, 63.10% for Medicaid only, and 37.5% for patients served by the integrated safety-net system. CONCLUSIONS: This study found that patients with Medicaid were less likely than those with commercial insurance to complete follow-up colonoscopy after a positive fecal immunochemical test and had longer average times to follow-up. With the future of coverage mechanisms uncertain, it is important and timely to assess influences of health insurance coverage on likelihood of follow-up colonoscopy and identify potential disparities in screening completion.

Lung Cancer Screening Inconsistent With U.S. Preventive Services Task Force Recommendations.

INTRODUCTION: Prior studies suggest overuse of nonrecommended lung cancer screening tests in U.S. community practice and underuse of recommended tests. METHODS: Data from the 2010 and 2015 National Health Interview Surveys was analyzed from 2016 to 2018. Prevalence, populations, and number of chest computed tomography (CT) and chest x-ray tests were estimated for people who did and did not meet U.S. Preventive Services Task Force (USPSTF) criteria for lung cancer screening, among people aged ≥40 years without lung cancer. RESULTS: In 2015, among those who met USPSTF criteria, 4.4% (95% CI=3.0%, 6.6%), or 360,000 (95% CI=240,000, 535,000) people reported lung cancer screening with a chest CT; and 8.5% (95% CI=6.5%, 11.1%), or 689,000 (95% CI=526,000, 898,000) people reported a chest x ray. Among those who did not meet USPSTF criteria, 2.3% (95% CI=2.0%, 2.6%), or 3,259,000 (95% CI=2,850,000, 3,724,000) people reported a chest x ray; and 1.3% (95% CI=1.1%, 1.5%), or 1,806,000 (95% CI=1,495,000, 2,173,000) people reported a chest CT. The estimated population meeting USPSTF criteria for lung cancer screening in 2015 was 8,098,000 (95% CI=7,533,000, 8,702,000), which was smaller than the 9,620,000 people (95% CI=8,960,000, 10,325,000) in 2010. CONCLUSIONS: The number of adults inappropriately screened for lung cancer greatly exceeds the number screened according to USPSTF recommendations, the prevalence of appropriate lung cancer screening is low, and the population meeting USPSTF criteria is shrinking. To realize the potential benefits of screening, better processes to appropriately triage eligible individuals to screening, plus screening with a USPSTF-recommended test, would be beneficial.

Colorectal cancer screening in the United States: Trends from 2008 to 2015 and variation by health insurance coverage.

Regular colorectal cancer (CRC) screening is recommended for reducing CRC incidence and mortality. This paper provides an updated analysis of CRC screening in the United States (US) and examines CRC screening by several features of health insurance coverage. Recommendation-consistent CRC screening was calculated for adults aged 50-75 in 2008, 2010, 2013 and 2015 using data from the National Health Interview Survey. CRC screening prevalence in 2015 was described overall and by sociodemographic subgroups. CRC screening by health insurance coverage was further examined using multivariable logistic regression, stratified by age (50-64 years and 65-75 years) and adjusted for age, race/ethnicity, sex, education, income, time in US, and comorbid conditions. Recommendation-consistent screening increased from 51.6% in 2008 to 58.3% in 2010 (p < 0.001). Use plateaued from 2010 to 2013 but increased to 61.3% in 2015 (p < 0.001). In 2015, adults aged 50-64 years with traditional employer-sponsored private insurance were more likely to be screened (62.2%) than those with traditional private direct purchase plans (50.9%) and the uninsured (24.8%) (p < 0.01, respectively). After multivariable adjustment, differences between traditional employer-sponsored private insurance and the uninsured remained statistically significant. Adults aged 65-75 with Medicare and private insurance were more likely to be screened (76.3%) than those with Medicare, no supplemental insurance (68.8%) or Medicare and Medicaid (65.2%) (p < 0.001). After multivariable adjustment, the differences between Medicare and private insurance and Medicare no supplemental insurance remained statistically significant. CRC screening rates have increased over time, but certain segments of the population, especially the uninsured, continue to screen below recommended levels.

Use of Next-Generation Sequencing Tests to Guide Cancer Treatment: Results From a Nationally Representative Survey of Oncologists in the United States.

Purpose: There are no nationally representative data on oncologists' use of next-generation sequencing (NGS) testing in practice. The purpose of this study was to investigate how oncologists in the United States use NGS tests to evaluate patients with cancer and to inform treatment recommendations. Methods: The study used data from the National Survey of Precision Medicine in Cancer Treatment, which was mailed to a nationally representative sample of oncologists in 2017 (N = 1,281; cooperation rate = 38%). Weighted percentages were calculated to describe NGS test use. Multivariable modeling was conducted to assess the association of test use with oncologist practice characteristics. Results: Overall, 75.6% of oncologists reported using NGS tests to guide treatment decisions. Of these oncologists, 34.0% used them often to guide treatment decisions for patients with advanced refractory disease, 29.1% to determine eligibility for clinical trials, and 17.5% to decide on off-label use of Food and Drug Administration-approved drugs. NGS test results informed treatment recommendations often for 26.8%, sometimes for 52.4%, and never or rarely for 20.8% of oncologists. Oncologists younger than 50 years of age, holding a faculty appointment, having genomics training, seeing more than 50 unique patients per month, and having access to a molecular tumor board were more likely to use NGS tests. Conclusion: In 2017, most oncologists in the United States were using NGS tests to guide treatment decisions for their patients. More research is needed to establish the clinical usefulness of these tests, to develop evidence-based clinical guidelines for their use in practice, and to ensure that patients who can benefit from these new technologies receive appropriate testing and treatment.

Medical Oncologists' Experiences in Using Genomic Testing for Lung and Colorectal Cancer Care.

PURPOSE: Genomic testing improves outcomes for many at-risk individuals and patients with cancer; however, little is known about how genomic testing for non-small-cell lung cancer (NSCLC) and colorectal cancer (CRC) is used in clinical practice. PATIENTS AND METHODS: In 2012 to 2013, we surveyed medical oncologists who care for patients in diverse practice and health care settings across the United States about their use of guideline- and non-guideline-endorsed genetic tests. Multivariable regression models identified factors that are associated with greater test use. RESULTS: Of oncologists, 337 completed the survey (participation rate, 53%). Oncologists reported higher use of guideline-endorsed tests (eg, KRAS for CRC; EGFR for NSCLC) than non-guideline-endorsed tests (eg, Onco typeDX Colon; ERCC1 for NSCLC). Many oncologists reported having no patients with CRC who had mismatch repair and/or microsatellite instability (24%) or germline Lynch syndrome (32%) testing, and no patients with NSCLC who had ALK testing (11%). Of oncologists, 32% reported that five or fewer patients had KRAS and EGFR testing for CRC and NSCLC, respectively. Oncologists, rather than pathologists or surgeons, ordered the vast majority of tests. In multivariable analyses, fewer patients in nonprofit integrated health care delivery systems underwent testing than did patients in hospital or office-based single-specialty group settings (all P < .05). High patient volume and patient requests (CRC only) were also associated with higher test use (all P < .05). CONCLUSION: Genomic test use for CRC and NSCLC varies by test and practice characteristics. Research in specific clinical contexts is needed to determine whether the observed variation reflects appropriate or inappropriate care. One potential way to reduce unwanted variation would be to offer widespread reflexive testing by pathology for guideline-endorsed predictive somatic tests.

Primary Care Providers' Beliefs and Recommendations and Use of Screening Mammography by their Patients.

BACKGROUND: Revised breast cancer screening guidelines have fueled debate about the effectiveness and frequency of screening mammography, encouraging discussion between women and their providers. OBJECTIVE: To examine whether primary care providers' (PCPs') beliefs about the effectiveness and frequency of screening mammography are associated with utilization by their patients. DESIGN: Cross-sectional survey data from PCPs (2014) from three primary care networks affiliated with the Population-based Research Optimizing Screening through Personalized Regimens (PROSPR) consortium, linked with data about their patients' mammography use (2011-2014). PARTICIPANTS: PCPs (n = 209) and their female patients age 40-89 years without breast cancer (n = 30,233). MAIN MEASURES: Outcomes included whether (1) women received a screening mammogram during a 2-year period; and (2) screened women had >1 mammogram during that period, reflecting annual screening. Principal independent variables were PCP beliefs about the effectiveness of mammography and their recommendations for screening frequency. KEY RESULTS: Overall 65.2% of women received >1 screening mammogram. For women 40-48 years, mammography use was modestly lower for those cared for by PCPs who believed that screening was ineffective compared with those who believed it was somewhat or very effective (59.1%, 62.3%, and 64.7%; p = 0.019 after controlling for patient characteristics). Of women with PCPs who reported they did not recommend screening before age 50, 48.1% were nonetheless screened. For women age 49-74 years, the vast majority were cared for by providers who believed that screening was effective. Provider recommendations were not associated with screening frequency. For women ≥75 years, those cared for by providers who were uncertain about effectiveness had higher screening use (50.7%) than those cared for by providers who believed it was somewhat effective (42.8%). Patients of providers who did not recommend screening were less likely to be screened than were those whose providers recommended annual screening, yet 37.1% of patients whose providers recommended against screening still received screening. CONCLUSIONS: PCP beliefs about mammography effectiveness and screening recommendations are only modestly associated with use, suggesting other likely influences on patient participation in mammography.