Understanding mechanisms of racial disparities in breast cancer: an assessment of screening and regular care in the Carolina Breast Cancer Study.

PURPOSE: Screening history influences stage at detection, but regular preventive care may also influence breast tumor diagnostic characteristics. Few studies have evaluated healthcare utilization (both screening and primary care) in racially diverse screening-eligible populations. METHODS: This analysis included 2,058 women age 45-74 (49% Black) from the Carolina Breast Cancer Study, a population-based cohort of women diagnosed with invasive breast cancer between 2008 and 2013. Screening history (threshold 0.5 mammograms per year) and pre-diagnostic healthcare utilization (i.e. regular care, based on responses to "During the past ten years, who did you usually see when you were sick or needed advice about your health?") were assessed as binary exposures. The relationship between healthcare utilization and tumor characteristics were evaluated overall and race-stratified. RESULTS: Among those lacking screening, Black participants had larger tumors (5 + cm) (frequency 19.6% vs 11.5%, relative frequency difference (RFD) = 8.1%, 95% CI 2.8-13.5), but race differences were attenuated among screening-adherent participants (10.2% vs 7.0%, RFD = 3.2%, 0.2-6.2). Similar trends were observed for tumor stage and mode of detection (mammogram vs lump). Among all participants, those lacking both screening and regular care had larger tumors (21% vs 8%, RR = 2.51, 1.76-3.56) and advanced (3B +) stage (19% vs 6%, RR = 3.15, 2.15-4.63) compared to the referent category (screening-adherent and regular care). Under-use of regular care and screening was more prevalent in socioeconomically disadvantaged areas of North Carolina. CONCLUSIONS: Access to regular care is an important safeguard for earlier detection. Our data suggest that health equity interventions should prioritize both primary care and screening.

Uptake of Lung Cancer Screening CT After a Provider Order for Screening in the PROSPR-Lung Consortium.

BACKGROUND: Uptake of lung cancer screening (LCS) has been slow with less than 20% of eligible people who currently or formerly smoked reported to have undergone a screening CT. OBJECTIVE: To determine individual-, health system-, and neighborhood-level factors associated with LCS uptake after a provider order for screening. DESIGN AND SUBJECTS: We conducted an observational cohort study of screening-eligible patients within the Population-based Research to Optimize the Screening Process (PROSPR)-Lung Consortium who received a radiology referral/order for a baseline low-dose screening CT (LDCT) from a healthcare provider between January 1, 2015, and June 30, 2019. MAIN MEASURES: The primary outcome is screening uptake, defined as LCS-LDCT completion within 90 days of the screening order date. KEY RESULTS: During the study period, 18,294 patients received their first order for LCS-LDCT. Orders more than doubled from the beginning to the end of the study period. Overall, 60% of patients completed screening after receiving their first LCS-LDCT order. Across health systems, uptake varied from 41 to 87%. In both univariate and multivariable analyses, older age, male sex, former smoking status, COPD, and receiving care in a centralized LCS program were positively associated with completing LCS-LDCT. Unknown insurance status, other or unknown race, and lower neighborhood socioeconomic status, as measured by the Yost Index, were negatively associated with screening uptake. CONCLUSIONS: Overall, 40% of patients referred for LCS did not complete a LDCT within 90 days, highlighting a substantial gap in the lung screening care pathway, particularly in decentralized screening programs.

Self-Collection for Primary HPV Testing: Perspectives on Implementation From Federally Qualified Health Centers.

INTRODUCTION: Primary testing for high-risk human papillomavirus (HPV) by self-collection could result in higher rates of cervical cancer screening. Federally qualified health centers (FQHCs) in the US serve a large proportion of women who have low income and no health insurance and are medically underserved - risk factors for being insufficiently screened for cervical cancer. Although the implementation of self-collection for HPV testing is not yet widespread, health care entities need to prepare for its eventual approval by the US Food and Drug Administration. We conducted focus groups and interviews among clinical and administrative staff and leadership to gather data on key logistical concerns that must be addressed before implementing self-collection for HPV testing in FQHCs. METHODS: We identified focus group and interview participants from 6 FQHCs in North Carolina. We conducted focus groups with clinical and administrative staff (N = 45) and semistructured interviews with chief executive officers, senior-level administrators, chief medical officers, and clinical data managers (N = 24). Transcripts were coded by using codebooks derived from research questions and notes taken during data collection. Themes emerged on implementation of self-collection for HPV testing. We applied the constructs from the Consolidated Framework for Implementation Research (CFIR) to themes to identify domains of potential barriers and facilitators to implementation. RESULTS: Clinical personnel reported that offering self-collection for HPV testing is acceptable and feasible and can increase cervical cancer screening rates. Uncertainties emerged about accuracy of results, workflow disruptions, financial implications, and effects on clinic quality measures. CONCLUSION: Implementing self-collection for HPV testing was considered feasible and acceptable by participants. However, important health service delivery considerations, including financial implications, must be addressed before integrating self-collection for HPV testing into the standard of care.

Primary Care Physician Perspectives on Recommending E-cigarettes to Smokers: a Best-Worst Discrete Choice Experiment.

BACKGROUND: Recent clinical trials suggest that e-cigarettes may be more effective for smoking cessation than traditional cessation aids, yet primary care physician (PCP) practices regarding e-cigarette recommendations for smokers have not been studied in-depth. OBJECTIVE: To identify factors influencing PCP recommendation of e-cigarettes for smoking cessation. DESIGN: Discrete choice experiment and survey. PARTICIPANTS: Florida PCPs. MEASURES: The survey included a discrete choice experiment in which PCPs indicated whether they would recommend e-cigarettes for each of 8 hypothetical patient profiles with the following contrasting characteristics: e-cigarette use, interest in approved cessation methods, smoking intensity, prior experience with approved cessation medications, quit intention, age, and comorbidity. Responses were summarized using descriptive statistics and standardized scores (SS). KEY RESULTS: The sample (n = 216) was predominately male (76%), white (66%), and non-Hispanic (78%), and most respondents had held their medical degree for 20+ years (77%). The response rate was 28.7%. Most PCPs thought e-cigarettes were at least somewhat effective for smoking cessation (66%) and lowering disease risk (65%); 31% perceived e-cigarettes to be equally/more effective than traditional cessation aids. PCPs were split regarding whether e-cigarettes were less (50%) or equally harmful (38%) as cigarettes. Yet, few were very confident in their ability to counsel patients on e-cigarettes risks (27%) or benefits (15%). PCPs recommended e-cigarettes in 27% of patient profiles they evaluated. The most important factors influencing the decision to recommend or not recommend e-cigarette were patients' prior use of nicotine replacement therapy with (SS = 0.22, 95% CI = 0.17-0.27) and without use of other medications for cessation (SS = 0.18, 95% CI = 0.13-0.23), and being middle age (50 years old) with chronic obstructive pulmonary disease (SS = 0.16, 95% CI = 0.10-0.23). CONCLUSIONS: Considering the increased patient use of e-cigarettes and increasing use for cessation, this study highlights the need for guidelines and education to aid PCPs' counseling of patients about e-cigarette use.

Cancer screening in the U.S. through the COVID-19 pandemic, recovery, and beyond.

COVID-19 has proved enormously disruptive to the provision of cancer screening, which does not just represent an initial test but an entire process, including risk detection, diagnostic follow-up, and treatment. Successful delivery of services at all points in the process has been negatively affected by the pandemic. There is a void in empirical high-quality evidence to support a specific strategy for administering cancer screening during a pandemic and its resolution phase, but several pragmatic considerations can help guide prioritization efforts. Targeting guideline-eligible people who have never been screened, or those who are significantly out of date with screening, has the potential to maximize benefits now and into the future. Disruptions to care due to the pandemic could represent an unparalleled opportunity to reassess early detection programs towards an explicit, thoughtful, and just prioritization of populations historically experiencing cancer disparities. By focusing screening services on populations that have the most to gain, and by careful and deliberate planning for the period following the pandemic, we can positively affect cancer outcomes for all.

The Effects of Personalizing Colorectal Cancer Risk Communication on Risk Perceptions and Health Behavior Intentions: a Randomized Trial of Average-Risk Adults.

Risk assessment tools may help individuals gauge cancer risk and motivate lifestyle and screening behavior changes. Despite the evermore common availability of such tools, little is known about their potential utility in average-risk population approaches to cancer prevention. We evaluated the effects of providing personalized (vs. generic) information concerning colorectal cancer (CRC) risk factors on average-risk individuals' risk perceptions and intentions to engage in three risk-reducing behaviors: CRC screening, diet, and physical activity. Further, we explored whether the receipt of CRC-specific risk assessment feedback influenced individuals' breast cancer risk perceptions and mammography intentions. Using an online survey, N = 419 survey respondents aged 50-75 with no personal or family history of CRC were randomized to receive an average estimate of CRC lifetime risk and risk factor information that was either personalized (treatment) or invariant/non-personalized (control). Respondent risk perceptions and behavioral intentions were ascertained before and after risk assessment administration. No differences were observed in risk perceptions or behavioral intentions by study arm. However, regardless of study arm, CRC screening intentions significantly increased after risk assessment feedback was provided. This occurred despite a significant reduction in risk perceptions. Results support the role simple cancer risk assessment information could play in promoting screening behaviors while improving the accuracy of cancer risk perceptions. Providing cancer risk assessment information may decrease individuals' perceptions of cancer risk to more realistic levels while simultaneously facilitating screening intentions among an average-risk population, regardless of whether provided risk information is personalized.

Medical Care Costs Associated With Cancer in Integrated Delivery Systems.

Background: The high economic burden of cancer is projected to continue growing. Cost-of-care estimates are key inputs for comparative effectiveness and economic analyses that aim to inform policies associated with cancer care. Existing estimates are based largely on SEER-Medicare data in the elderly, leaving a knowledge gap regarding costs for patients aged <65 years. Methods: We estimated total and net medical care costs using data on individuals diagnosed with breast, colorectal, lung, or prostate cancer (n=45,522) and noncancer controls (n=314,887) enrolled in 1 of 4 participating health plans. Net costs were defined as the difference in mean total costs between patients with cancer and controls. The phase-of-care approach and Kaplan-Meier Sample Average method were used to estimate mean total and net 1- and 5-year costs (in 2015 US dollars) by cancer site, stage at diagnosis, and age group (<65 and ≥65 years). Results: Total and net costs were consistently highest for lung cancer and lowest for prostate cancer. Net costs were higher across all cancer sites for patients aged <65 years than those aged ≥65 years. Medical care costs for all cancers increased with advanced stage at diagnosis. Conclusions: This study improves understanding of medical care costs for the 4 most common invasive cancers in the United States. Higher costs among patients aged <65 years highlight limitations of relying on SEER-Medicare data alone to understand the national burden of cancer, whereas higher costs for patients with advanced-stage cancer underscore the importance of early detection to curtail high long-term costs. These cost estimates can be used in the development and evaluation of interventions and policies across the cancer care continuum.

Statistical Power in Two-Level Hierarchical Linear Models with Arbitrary Number of Factor Levels.

As the US health care system undergoes unprecedented changes, the need for adequately powered studies to understand the multiple levels of main and interaction factors that influence patient and other care outcomes in hierarchical settings has taken center stage. We consider two-level models where n lower-level units are nested within each of J higher-level clusters (e.g. patients within practices and practices within networks) and where two factors may have arbitrary a and b factor levels, respectively. Both factors may represent a × b treatment combinations, or one of them may be a pretreatment covariate. Consideration of both factors at the same higher or lower hierarchical level, or one factor per hierarchical level yields a cluster (C), multisite (M) or split-plot randomized design (S). We express statistical power to detect main, interaction, or any treatment effects as a function of sample sizes (n, J), a and b factor levels, intraclass correlation ρ and effect sizes δ given each design d ∈ {C, M, S}. The power function given a, b, ρ, δ and d determines adequate sample sizes to achieve a minimum power requirement. Next, we compare the impact of the designs on power to facilitate selection of optimal design and sample sizes in a way that minimizes the total cost given budget and logistic constraints. Our approach enables accurate and conservative power computation with a priori knowledge of only three effect size differences regardless of how large a × b is, simplifying previously available computation methods for health services and other researches.

The contribution of body mass index to appraisal delay in colorectal cancer diagnosis: a structural equation modelling study.

BACKGROUND: Appraisal delay (AD) refers to the time interval between onset of symptoms and the date a patient first seeks healthcare. Because studies have shown that individuals who are overweight or obese may delay or avoid seeking healthcare due to stigma, this study aims to investigate the role that weight plays in AD among symptomatic individuals subsequently diagnosed with colorectal cancer (CRC). METHODS: Structural equation modelling tested the relationship between AD, body mass index (BMI), financial barriers, cognitive barriers, and reported symptoms among 179 newly diagnosed CRC patients in two U.S. healthcare systems. RESULTS: BMI was directly and significantly related to AD (ß=0.10; P=0.044) and to cognitive barriers (ß=0.24; P=0.005). Cognitive barriers were direct and significant predictors of increased AD (ß=0.32; P=0.000). Symptom experience and financial barriers were mediated through cognitive barriers. CONCLUSIONS: Model results support the hypothesis that increased BMI is significantly and directly associated with increased AD and key cognitive barriers relevant to care-seeking behaviour.

Harnessing Information Technology to Inform Patients Facing Routine Decisions: Cancer Screening as a Test Case.

PURPOSE: Technology could transform routine decision making by anticipating patients' information needs, assessing where patients are with decisions and preferences, personalizing educational experiences, facilitating patient-clinician information exchange, and supporting follow-up. This study evaluated whether patients and clinicians will use such a decision module and its impact on care, using 3 cancer screening decisions as test cases. METHODS: Twelve practices with 55,453 patients using a patient portal participated in this prospective observational cohort study. Participation was open to patients who might face a cancer screening decision: women aged 40 to 49 who had not had a mammogram in 2 years, men aged 55 to 69 who had not had a prostate-specific antigen test in 2 years, and adults aged 50 to 74 overdue for colorectal cancer screening. Data sources included module responses, electronic health record data, and a postencounter survey. RESULTS: In 1 year, one-fifth of the portal users (11,458 patients) faced a potential cancer screening decision. Among these patients, 20.6% started and 7.9% completed the decision module. Fully 47.2% of module completers shared responses with their clinician. After their next office visit, 57.8% of those surveyed thought their clinician had seen their responses, and many reported the module made their appointment more productive (40.7%), helped engage them in the decision (47.7%), broadened their knowledge (48.1%), and improved communication (37.5%). CONCLUSIONS: Many patients face decisions that can be anticipated and proactively facilitated through technology. Although use of technology has the potential to make visits more efficient and effective, cultural, workflow, and technical changes are needed before it could be widely disseminated.

Understanding the influences and impact of patient-clinician communication in cancer care.

BACKGROUND: Patient-clinician communication is thought to be central to care outcomes, but when and how communication affects patient outcomes is not well understood. OBJECTIVE: We propose a conceptual model and classification framework upon which the empirical evidence base for the impact of patient-clinician communication can be summarized and further built. DESIGN: We use the proposed model and framework to summarize findings from two recent systematic reviews, one evaluating the use of shared decision making (SDM) on cancer care outcomes and the other evaluating the role of physician recommendation in cancer screening use. KEY RESULTS: Using this approach, we identified clusters of studies with positive findings, including those relying on the measurement of SDM from the patients' perspective and affective-cognitive outcomes, particularly in the context of surgical treatment decision making. We also identify important gaps in the literature, including the role of SDM in post-surgical treatment and end-of-life care decisions, and those specifying particular physician communication strategies when recommending cancer screening. CONCLUSIONS: Transparent linkages between key conceptual domains and the influence of methodological approaches on observed patient outcomes are needed to advance our understanding of how and when patient-clinician communication influences patient outcomes. The proposed conceptual model and classification framework can be used to facilitate the translation of empirical evidence into practice and to identify critical gaps in knowledge regarding how and when patient-clinician communication impacts care outcomes in the context of cancer and health care more broadly.

Medication Adherence Does Not Explain Black-White Differences in Cardiometabolic Risk Factor Control among Insured Patients with Diabetes.

BACKGROUND: Among patients with diabetes, racial differences in cardiometabolic risk factor control are common. The extent to which differences in medication adherence contribute to such disparities is not known. We examined whether medication adherence, controlling for treatment intensification, could explain differences in risk factor control between black and white patients with diabetes. METHODS: We identified three cohorts of black and white patients treated with oral medications and who had poor risk factor control at baseline (2009): those with glycated hemoglobin (HbA1c) >8 % (n = 37,873), low-density lipoprotein cholesterol (LDL-C) >100 mg/dl (n = 27,954), and systolic blood pressure (SBP) >130 mm Hg (n = 63,641). Subjects included insured adults with diabetes who were receiving care in one of nine U.S. integrated health systems comprising the SUrveillance, PREvention, and ManagEment of Diabetes Mellitus (SUPREME-DM) consortium. Baseline and follow-up risk factor control, sociodemographic, and clinical characteristics were obtained from electronic health records. Pharmacy-dispensing data were used to estimate medication adherence (i.e., medication refill adherence [MRA]) and treatment intensification (i.e., dose increase or addition of new medication class) between baseline and follow-up. County-level income and educational attainment were estimated via geocoding. Logistic regression models were used to test the association between race and follow-up risk factor control. Models were specified with and without medication adherence to evaluate its role as a mediator. RESULTS: We observed poorer medication adherence among black patients than white patients (p < 0.01): 50.6 % of blacks versus 39.7 % of whites were not highly adherent (i.e., MRA <80 %) to HbA1c oral medication(s); 58.4 % of blacks and 46.7 % of whites were not highly adherent to lipid medication(s); and 33.4 % of blacks and 23.7 % of whites were not highly adherent to BP medication(s). Across all cardiometabolic risk factors, blacks were significantly less likely to achieve control (p < 0.01): 41.5 % of blacks and 45.8 % of whites achieved HbA1c <8 %; 52.6 % of blacks and 60.8 % of whites achieved LDL-C <100; and 45.7 % of blacks and 53.6 % of whites achieved SBP <130. Adjusting for medication adherence/treatment intensification did not alter these patterns or model fit statistics. CONCLUSIONS: Medication adherence failed to explain observed racial differences in the achievement of HbA1c, LDL-C, and SBP control among insured patients with diabetes.

Trends in diabetes incidence among 7 million insured adults, 2006-2011: the SUPREME-DM project.

An observational cohort analysis was conducted within the Surveillance, Prevention, and Management of Diabetes Mellitus (SUPREME-DM) DataLink, a consortium of 11 integrated health-care delivery systems with electronic health records in 10 US states. Among nearly 7 million adults aged 20 years or older, we estimated annual diabetes incidence per 1,000 persons overall and by age, sex, race/ethnicity, and body mass index. We identified 289,050 incident cases of diabetes. Age- and sex-adjusted population incidence was stable between 2006 and 2010, ranging from 10.3 per 1,000 adults (95% confidence interval (CI): 9.8, 10.7) to 11.3 per 1,000 adults (95% CI: 11.0, 11.7). Adjusted incidence was significantly higher in 2011 (11.5, 95% CI: 10.9, 12.0) than in the 2 years with the lowest incidence. A similar pattern was observed in most prespecified subgroups, but only the differences for persons who were not white were significant. In 2006, 56% of incident cases had a glycated hemoglobin (hemoglobin A1c) test as one of the pair of events identifying diabetes. By 2011, that number was 74%. In conclusion, overall diabetes incidence in this population did not significantly increase between 2006 and 2010, but increases in hemoglobin A1c testing may have contributed to rising diabetes incidence among nonwhites in 2011.

Sexual health discussions with older adult patients during periodic health exams.

INTRODUCTION: Sexual health is an integral part of overall health across the lifespan. In order to address sexual health issues, such as sexually transmitted infections (STIs) and sexual functioning, the sexual history of adult patients should be incorporated as a routine part of the medical history throughout life. Physicians and health-care professionals cite many barriers to attending to and assessing the sexual health needs of older adult patients, underscoring the importance of additional research to improve sexual history taking among older patients. AIM: The purpose of this article is to explore the content and context of physician-patient sexual health discussions during periodic health exams (PHEs) with adults aged 50-80 years. METHODS: Patients completed a pre-visit telephone survey and attended a scheduled PHE with their permission to audio-record the exam. Transcribed audio recordings of 483 PHEs were analyzed according to the principles of qualitative content analysis. MAIN OUTCOME MEASURES: Frequency of sexual history taking components as observed in transcripts of PHEs. Physician characteristics were obtained from health system records and patient characteristics were obtained from the pre-visit survey. RESULTS: Analyses revealed that approximately one-half of the PHEs included some discussion about sexual health, with the majority of those conversations initiated by physicians. A two-level logistic regression model revealed that patient-physician gender concordance, race discordance, and increasing physician age were significantly associated with sexual health discussions. CONCLUSION: Interventions should focus on increasing physician self-efficacy for assessing sexual health in gender discordant and race/ethnicity concordant patient interactions. Interventions for older adults should increase education about sexual health and sexual risk behaviors, as well as empower individuals to seek information from their health-care providers.

Prescription medication burden in patients with newly diagnosed diabetes: a SUrveillance, PREvention, and ManagEment of Diabetes Mellitus (SUPREME-DM) study.

OBJECTIVE: To understand the burden of medication use for patients with newly diagnosed diabetes both before and after diabetes diagnosis and to identify subpopulations of patients with newly diagnosed diabetes who face a relatively high drug burden. DESIGN: Retrospective cohort study. SETTING: 11 integrated health systems in the United States. PARTICIPANTS: 196,654 insured adults 20 years of age or older newly diagnosed with type 1 or type 2 diabetes from January 2005 through December 2009. MAIN OUTCOME MEASURES: Number of unique therapeutic classes of drugs dispensed in the 12 months before and 12 months after diagnosis of diabetes in five categories: overall, antihypertensive agents, antihyperlipidemic agents, mental health agents, and antihyperglycemic agents (in the postdiagnosis period only). RESULTS: The mean number of drug classes used by newly diagnosed patients with diabetes is high before diagnosis (5.0) and increases significantly afterward (6.6). Of this increase, 81% is due to antihyperglycemic initiation and increased use of medications to control hypertension and lipid levels. Multivariate analyses showed that overall drug burden after diabetes diagnosis was higher in women, older, white, and obese patients, as well as among those with higher glycosylated hemoglobin concentrations and comorbidity levels (significant for all comparisons). The overall number of drug classes used by newly diagnosed patients with diabetes after diagnosis decreased slightly but significantly between 2005 and 2009. CONCLUSION: Patients newly diagnosed with diabetes face a substantially increased burden of medications used to control diabetes and other comorbidities. This study shows an increased focus on cardiovascular disease risk factor control after diagnosis of diabetes. However, total drug burden may be slightly decreasing over time.

Unpacking the relationship between shared decision-making and decisional quality, decision to screen, and screening completion in lung cancer screening.

OBJECTIVES: Lung cancer screening is a complex and individualized decision. To understand how best to support patients in this decision, we must understand how shared decision-making is associated with both decisional and behavioral outcomes. METHODS: Observational cohort study combining patient survey data with electronic health record data of lung screening-eligible patients who recently engaged in a shared decision-making discussion about screening with a primary care clinician. RESULTS: Using multivariable analysis (n = 529), factors associated with higher lung cancer screening decisional quality include higher knowledge (OR = 1.33, p < .0001), lower perceived benefits (OR = 0.90, p = .0004), higher perceived barriers (OR = 1.07, p < .0001), higher self-efficacy (OR = 1.13, p < .0001), and higher levels of perceiving the discussion was shared (OR = 1.04, p < .0001). Factors associated with the patient's decision to screen include older age (OR = 1.12, p = .0050) and higher self-efficacy (OR = 1.11, p = .0407). Factors associated with screening completion included older age (OR = 1.05, p = .0050), higher knowledge (OR = 1.24, p = .0045), and higher self-efficacy (OR = 1.12, p = .0003). CONCLUSIONS: Shared decision-making in lung cancer screening is a dyadic process between patient and clinician. As we continue to strive for high-quality patient-centered care, patient decision quality may be enhanced by targeting key factors such as high-quality knowledge, self-efficacy, and fostering a shared discussion to support patient engagement in lung cancer screening decisions.

A streamlined approach to classifying and tailoring implementation strategies: recommendations to speed the translation of research to practice.

BACKGROUND: Implementation science emerged from the recognized need to speed the translation of effective interventions into practice. In the US, the science has evolved to place an ever-increasing focus on implementation strategies. The long list of implementation strategies, terminology used to name strategies, and time required to tailor strategies all may contribute to delays in translating evidence-based interventions (EBIs) into practice. To speed EBI translation, we propose a streamlined approach to classifying and tailoring implementation strategies. MAIN TEXT: A multidisciplinary team of eight scholars conducted an exercise to sort the Expert Recommendations for Implementing Change (ERIC) strategies into three classes: implementation processes (n = 25), capacity-building strategies (n = 20), and integration strategies (n = 28). Implementation processes comprise best practices that apply across EBIs and throughout the phases of implementation from exploration through sustainment (e.g., conduct local needs assessment). Capacity-building strategies target either general or EBI-specific knowledge and skills (e.g., conduct educational meetings). Integration strategies include "methods and techniques" that target barriers or facilitators to implementation of a specific EBI beyond those targeted by capacity building. Building on these three classes, the team collaboratively developed recommendations for a pragmatic, five-step approach that begins with the implementation processes and capacity-building strategies practice-settings are already using prior to tailoring integration strategies. A case study is provided to illustrate use of the five-step approach to tailor the strategies needed to implement a transitional care intervention in skilled nursing facilities. CONCLUSIONS: Our proposed approach streamlines the formative work required prior to implementing an EBI by building on practice partner preferences, expertise, and infrastructure while also making the most of prior research findings.

Associations With Virtual Visit Use Among Patients Receiving Radiation Therapy.

Purpose: The objective of this study was to test for patient characteristics associated with virtual versus office visits among radiation oncology patients. Methods and Materials: Using the electronic health record, we extracted encounter data and corresponding patient information for the 6 months before and 6 months of COVID-19-enabled virtual visits (October 1, 2019, to March 22, 2020 vs March 23, 2020, to September 1, 2020) at a National Cancer Institute-Designated Cancer Center. Encounters during COVID-19 were categorized as in-person or virtual visits. We compared patient demographic variables including race, age, sex, marital status, preferred language, insurance status, and tumor type during the pre-COVID-19 period as a baseline versus during the COVID-19 period. Multivariable analyses examined associations between these variables and virtual visit use. Results: We analyzed 4974 total encounters (2287 before COVID-19 and 2687 during COVID-19) for 3960 unique patients. All (100%) pre-COVID-19 encounters were in-person. During COVID-19, 21% of encounters were via virtual visits. There were no differences identified in pre- versus during-COVID-19 patient characteristics. However, we found significant differences in patient characteristics for in-person versus virtual encounters during COVID-19. On multivariable analysis, virtual visit use was less common among patients who were Black versus White (odds ratio [OR], 0.75; 95% CI, 0.57-0.99; P = .044) and not married versus married (OR, 0.76; 95% CI, 0.59-0.98; P = .037). Patients with head and neck (OR, 0.63; 95% CI, 0.41-0.97; P = .034), breast (OR, 0.36; 95% CI, 0.21-0.62; P ≤ .001), gastrointestinal/abdominal (OR, 0.31; 95% CI, 0.15-0.63; P = .001), or hematologic malignancy (OR, 0.20; 95% CI, 0.04-0.95; P = .043) diagnoses were less likely to be scheduled for virtual visits relative to patients with genitourinary malignancy. No Spanish-speaking patients engaged in a virtual visit. We did not identify differences in the insurance status or sex of patients scheduled for virtual visits. Conclusions: We found significant differences in virtual visit use by patient sociodemographic and clinical characteristics. Further investigation into implications of differential virtual visit use including social and structural determinants and subsequent clinical outcomes is indicated.

Test performance metrics for breast, cervical, colon, and lung cancer screening: a systematic review.

BACKGROUND: Multiple quality metrics have been recommended to ensure consistent, high-quality execution of screening tests for breast, cervical, colorectal, and lung cancers. However, minimal data exist evaluating the evidence base supporting these recommendations and the consistency of definitions and concepts included within and between cancer types. METHODS: We performed a systematic review for each cancer type using MEDLINE, Embase, and the Cumulative Index to Nursing and Allied Health Literature (CINAHL) from 2010 to April 2020 to identify guidelines from screening programs or professional organizations containing quality metrics for tests used in breast, cervical, colorectal, and lung cancer screening. We abstracted metrics' definitions, target performance levels, and related supporting evidence for test completeness, adequacy (sufficient visualization or collection), accuracy, and safety. RESULTS: We identified 11 relevant guidelines with 20 suggested quality metrics for breast cancer, 5 guidelines with 9 metrics for cervical cancer, 13 guidelines with 18 metrics for colorectal cancer (CRC), and 3 guidelines with 7 metrics for lung cancer. These included 54 metrics related to adequacy (n = 6), test completeness (n = 3), accuracy (n = 33), and safety (n = 12). Target performance levels were defined for 30 metrics (56%). Ten (19%) were supported by evidence, all from breast and CRC, with no evidence cited to support metrics from cervical and lung cancer screening. CONCLUSIONS: Considerably more guideline-recommended test performance metrics exist for breast and CRC screening than cervical or lung cancer. The domains covered are inconsistent among cancers, and few targets are supported by evidence. Clearer evidence-based domains and targets are needed for test performance metrics. REGISTRATION: PROSPERO 2020 CRD42020179139.

Contraceptive insurance mandates and consistent contraceptive use among privately insured women.

INTRODUCTION: Half of the states in the United States mandate that health insurers cover contraceptives. Health care reform includes recommendations to extend these mandates nationally through the essential benefits package. This study evaluates the association of state-level insurance mandates and consistent contraceptive use among privately insured women aged 15-44. STUDY DESIGN: The National Survey of Family Growth (2006-2008) included 2276 privately insured women at risk for unintended pregnancy. Multilevel logistic regression models provided estimates of the association between state-level insurance coverage mandates and consistent contraceptive use. RESULTS: Among privately insured women, 18% reported a ≥1-month gap in contraceptive use. Compared with women living in states with no mandates, those in states with comprehensive mandates had increased odds of consistent contraceptive use among privately insured women [adjusted odds ratio (aOR), 1.64; 95% confidence interval (CI), 1.08-2.50], but not uninsured women (aOR, 0.77; 95% CI, 0.38-1.55). Partial mandates were not associated with consistent contraceptive use. DISCUSSION: Consistent contraceptive use among women with private insurance is higher in the states with mandates compared with those without mandates.