Accuracy of self-perceived risk for common conditions.

BACKGROUND: Accurate awareness of common disease risk is necessary to promote healthy lifestyles and to prevent unnecessary anxiety and evaluation. Our objective is to identify characteristics of patients who do not accurately perceive their risk of developing coronary heart disease (CHD), diabetes (DM), breast cancer (BC) and colorectal cancer (CRC). METHODS: Using personalized disease risk reports and risk perception surveys, subjects (n = 4703) were classified as high or low/average risk and high or low/average perceived risk for each condition. Models were used to examine factors associated with risk under-estimation by high risk patients and risk over-estimation by low/average risk patients. RESULTS: Patients at high risk for DM, BC and CRC often (60%-75% of the time) under-estimated their risk, while low/average risk patients overestimated their risk 13%-40% of the time. For CHD, under-estimation by high risk individuals approximated over-estimation by low/average individuals. Compared to normal weight patients at high risk for cancer, obese patients were more likely to under-estimate their risk for BC (OR 3.1, CI 1.9-5.0) and CRC (2.6, 1.5-4.5) as were overweight patients. Overweight and obese patients at low/average risk of DM or CHD were more likely than normal weight patients to over-estimate their risk. Low/average risk women were more likely than men to over-estimate their risk of DM (1.3, 1.1-1.5) and CHD (1.8, 1.5-2.1). CONCLUSIONS: Our data show that body mass index is the factor most consistently associated with incorrect risk perceptions for several common conditions.

Assessing Inaccuracies in Automated Information Extraction of Breast Imaging Findings.

We previously identified breast imaging findings from radiology reports using an expert-based information extraction algorithm as part of the National Cancer Institute's Population-based Research Optimizing Screening through Personalized Regimens (PROSPR) initiative. We validate this algorithm and assess inaccuracies in a different institutional setting. Mammography, ultrasound (US), and breast magnetic resonance imaging (MRI) reports of patients at an academic health system between 4/2013 and 6/2013 were included for analysis. Accuracy of automatically extracting imaging findings using an algorithm developed at a different institution compared to manual gold standard review is reported. Extraction errors are further categorized based on manual review. Precision and recall for extracting BI-RADS categories remain between 0.9 and 1.0, except for MRI (0.7). F measures for extracting other findings are 0.9 for non-mass enhancement (in MRI) and 0.8-0.9 for cysts (in MRI and US). Extracting breast imaging findings resulted in lowest accuracy for findings of calcification (range 0.4-0.6 in mammography) and asymmetric density (0.5-0.7 in mammography). Majority of errors for extracting imaging findings were due to qualifier-based errors, descriptors which indicate absence of findings, missed by automated extraction (e.g., "benign" calcifications). Our information extraction algorithm provides an effective approach to extracting some breast imaging findings for populating a breast screening registry. However, errors in information extraction when utilizing methods in new settings demonstrate that further work is necessary to extract information content from unstructured multi-institutional radiology reports.

A Cluster Randomized Trial of a Personalized Multi-Condition Risk Assessment in Primary Care.

INTRODUCTION: Personal risk for multiple conditions should be assessed in primary care. This study evaluated whether collection of risk factors to generate electronic health record (EHR)-linked health risk appraisal (HRA) for coronary heart disease, diabetes, breast cancer, and colorectal cancer was associated with improved patient-provider communication, risk assessment, and plans for breast cancer screening. METHODS: This pragmatic trial recruited adults with upcoming visits to 11 primary care practices during 2013-2014 (N=3,703). Pre-visit, intervention patients completed a risk factor and perception assessment and received an HRA; coded risk factor data were sent to the EHR. Post-visit, intervention patients reported risk perception. Pre-visit, control patients only completed the risk perception assessment; post-visit they also completed the risk factor assessment and received the HRA. No data were sent to the EHR for controls. Accuracy/improvement of self-perceived risk was assessed by comparing self-perceived to calculated risk. RESULTS: The intervention was associated with improvement of patient-provider communication of changes to improve health (78.5% vs 74.1%, AOR=1.67, 99% CI=1.07, 2.60). There was a similar trend for discussion of risk (54.1% vs 45.5%, AOR=1.34, 95% CI=0.97, 1.85). The intervention was associated with greater improvement in accuracy of self-perceived risk for diabetes (16.0% vs 12.6%, p=0.006) and colorectal cancer (27.9% vs 17.2%, p<0.001) with a similar trend for coronary heart disease and breast cancer. There were no changes in plans for breast cancer screening. CONCLUSIONS: Patient-reported risk factors and EHR-linked multi-condition HRAs in primary care can modestly improve communication and promote accuracy of self-perceived risk.

Medical home transformation and breast cancer screening.

OBJECTIVES: The patient-centered medical home (PCMH) continues to gain momentum as a primary care delivery system. We evaluated whether medical home transformation of primary care practices is associated with the use of breast cancer screening, a broadly endorsed preventive service. STUDY DESIGN: Retrospective cohort study evaluating 12 Brigham and Women's Hospital (BWH)-affiliated primary care clinics in greater Boston, Massachusetts. METHODS: Practice transformation was measured quarterly using a continuous PCMH transformation score (range = 0-100) modeled after National Committee for Quality Assurance recognition requirements. We included women aged 50 to 74 years who had at least 1 primary care visit at a participating clinic between April 2012 and December 2013 (n = 20,349)-a period of medical home transformation. The main measures included: a) whether screening was up-to-date at the time of the visit (mammography completion within 24 months prior to the visit); and b) if screening was overdue at the visit (ie, it had been more than 24 months since the last mammogram), and whether timely screening was completed within 3 months after the visit. RESULTS: In adjusted analyses, PCMH transformation scores were negatively associated with up-to-date screening status (odds ratio [OR] for a 20-point change, 0.93; 95% confidence interval [CI], 0.89-0.96) and with timely screening of women who were overdue (OR, 0.94; 95% CI, 0.87-1.02). CONCLUSIONS: Preventative care, such as breast cancer screening, may not improve in early PCMH implementation.

Inadequate Systems to Support Breast and Cervical Cancer Screening in Primary Care Practice.

BACKGROUND: Despite substantial resources devoted to cancer screening nationally, the availability of clinical practice-based systems to support screening guidelines is not known. OBJECTIVE: To characterize the prevalence and correlates of practice-based systems to support breast and cervical cancer screening, with a focus on the patient-centered medical home (PCMH). DESIGN: Web and mail survey of primary care providers conducted in 2014. The survey assessed provider (gender, training) and facility (size, specialty training, physician report of National Committee for Quality Assurance (NCQA) PCMH recognition, and practice affiliation) characteristics. A hierarchical multivariate analysis clustered by clinical practice was conducted to evaluate characteristics associated with the adoption of practice-based systems and technology to support guideline-adherent screening. PARTICIPANTS: Primary care physicians in family medicine, general internal medicine, and obstetrics and gynecology, and nurse practitioners or physician assistants from four clinical care networks affiliated with PROSPR (Population-based Research Optimizing Screening through Personalized Regimens) consortium research centers. MAIN MEASURES: The prevalence of routine breast cancer risk assessment, electronic health record (EHR) decision support, comparative performance reports, and panel reports of patients due for routine screening and follow-up. KEY RESULTS: There were 385 participants (57.6 % of eligible). Forty-seven percent (47.0 %) of providers reported NCQA recognition as a PCMH. Less than half reported EHR decision support for breast (48.8 %) or cervical cancer (46.2 %) screening. A minority received comparative performance reports for breast (26.2 %) or cervical (19.7 %) cancer screening, automated reports of patients overdue for breast (18.7 %) or cervical (16.4 %) cancer screening, or follow-up of abnormal breast (18.1 %) or cervical (17.6 %) cancer screening tests. In multivariate analysis, reported NCQA recognition as a PCMH was associated with greater use of comparative performance reports of guideline-adherent breast (OR 3.23, 95 % CI 1.58-6.61) or cervical (OR 2.56, 95 % CI 1.32-4.96) cancer screening and automated reports of patients overdue for breast (OR 2.19, 95 % CI 1.15-41.7) or cervical (OR. 2.56, 95 % CI 1.26-5.26) cancer screening. CONCLUSIONS: Providers lack systems to support breast and cervical cancer screening. Practice transformation toward a PCMH may support the adoption of systems to achieve guideline-adherent cancer screening in primary care settings.

Provider Attitudes and Screening Practices Following Changes in Breast and Cervical Cancer Screening Guidelines.

BACKGROUND: Changes to national guidelines for breast and cervical cancer screening have created confusion and controversy for women and their primary care providers. OBJECTIVE: To characterize women's primary health care provider attitudes towards screening and changes in practice in response to recent revisions in guidelines for breast and cervical cancer screening. DESIGN, SETTING, PARTICIPANTS: In 2014, we distributed a confidential web and mail survey to 668 women's health care providers affiliated with the four clinical care networks participating in the three PROSPR (Population-based Research Optimizing Screening through Personalized Regimens) consortium breast cancer research centers (385 respondents; response rate 57.6 %). MAIN MEASURES: We assessed self-reported attitudes toward breast and cervical cancer screening, as well as practice changes in response to the most recent revisions of the U.S. Preventive Services Task Force (USPSTF) recommendations. KEY RESULTS: The majority of providers believed that mammography screening was effective for reducing cancer mortality among women ages 40-74 years, and that Papanicolaou (Pap) testing was very effective for women ages 21-64 years. While the USPSTF breast and cervical cancer screening recommendations were widely perceived by the respondents as influential, 75.7 and 41.2 % of providers (for mammography and cervical cancer screening, respectively) reported screening practices in excess of those recommended by USPSTF. Provider-reported barriers to concordance with guideline recommendations included: patient concerns (74 and 36 % for breast and cervical, respectively), provider disagreement with the recommendations (50 and 14 %), health system measurement of a provider's screening practices that use conflicting measurement criteria (40 and 21 %), concern about malpractice risk (33 and 11 %), and lack of time to discuss the benefits and harms with their patients (17 and 8 %). CONCLUSIONS: Primary care providers do not consistently follow recent USPSTF breast and cervical cancer screening recommendations, despite noting that these guidelines are influential.

Evaluation of an Automated Information Extraction Tool for Imaging Data Elements to Populate a Breast Cancer Screening Registry.

Breast cancer screening is central to early breast cancer detection. Identifying and monitoring process measures for screening is a focus of the National Cancer Institute's Population-based Research Optimizing Screening through Personalized Regimens (PROSPR) initiative, which requires participating centers to report structured data across the cancer screening continuum. We evaluate the accuracy of automated information extraction of imaging findings from radiology reports, which are available as unstructured text. We present prevalence estimates of imaging findings for breast imaging received by women who obtained care in a primary care network participating in PROSPR (n = 139,953 radiology reports) and compared automatically extracted data elements to a "gold standard" based on manual review for a validation sample of 941 randomly selected radiology reports, including mammograms, digital breast tomosynthesis, ultrasound, and magnetic resonance imaging (MRI). The prevalence of imaging findings vary by data element and modality (e.g., suspicious calcification noted in 2.6% of screening mammograms, 12.1% of diagnostic mammograms, and 9.4% of tomosynthesis exams). In the validation sample, the accuracy of identifying imaging findings, including suspicious calcifications, masses, and architectural distortion (on mammogram and tomosynthesis); masses, cysts, non-mass enhancement, and enhancing foci (on MRI); and masses and cysts (on ultrasound), range from 0.8 to1.0 for recall, precision, and F-measure. Information extraction tools can be used for accurate documentation of imaging findings as structured data elements from text reports for a variety of breast imaging modalities. These data can be used to populate screening registries to help elucidate more effective breast cancer screening processes.

Proactive tobacco cessation outreach to smokers of low socioeconomic status: a randomized clinical trial.

IMPORTANCE: Widening socioeconomic disparities in mortality in the United States are largely explained by slower declines in tobacco use among smokers of low socioeconomic status (SES) than among those of higher SES, which points to the need for targeted tobacco cessation interventions. Documentation of smoking status in electronic health records (EHRs) provides the tools for health systems to proactively offer tobacco treatment to socioeconomically disadvantaged smokers. OBJECTIVE: To evaluate a proactive tobacco cessation strategy that addresses sociocontextual mediators of tobacco use for low-SES smokers. DESIGN, SETTING, AND PARTICIPANTS: This prospective, randomized clinical trial included low-SES adult smokers who described their race and/or ethnicity as black, Hispanic, or white and received primary care at 1 of 13 practices in the greater Boston area (intervention group, n = 399; control group, n = 308). INTERVENTIONS: We analyzed EHRs to identify potentially eligible participants and then used interactive voice response (IVR) techniques to reach out to them. Consenting patients were randomized to either receive usual care from their own health care team or enter an intervention program that included (1) telephone-based motivational counseling, (2) free nicotine replacement therapy (NRT) for 6 weeks, (3) access to community-based referrals to address sociocontextual mediators of tobacco use, and (4) integration of all these components into their normal health care through the EHR system. MAIN OUTCOMES AND MEASURES: Self-reported past-7-day tobacco abstinence 9 months after randomization ("quitting"), assessed by automated caller or blinded study staff. RESULTS: The intervention group had a higher quit rate than the usual care group (17.8% vs 8.1%; odds ratio, 2.5; 95% CI, 1.5-4.0; number needed to treat, 10). We examined whether use of intervention components was associated with quitting among individuals in the intervention group: individuals who participated in the telephone counseling were more likely to quit than those who did not (21.2% vs 10.4%; P < .001). There was no difference in quitting by use of NRT. Quitting did not differ by a request for a community referral, but individuals who used their referral were more likely to quit than those who did not (43.6% vs 15.3%; P < .001). CONCLUSIONS AND RELEVANCE: Proactive, IVR-facilitated outreach enables engagement with low-SES smokers. Providing counseling, NRT, and access to community-based resources to address sociocontextual mediators among smokers reached in this setting is effective. TRIAL REGISTRATION: clinicaltrials.gov Identifier: NCT01156610.

Use of practice-based research network data to measure neighborhood smoking prevalence.

INTRODUCTION: Practice-Based Research Networks (PBRNs) and health systems may provide timely, reliable data to guide the development and distribution of public health resources to promote healthy behaviors, such as quitting smoking. The objective of this study was to determine if PBRN data could be used to make neighborhood-level estimates of smoking prevalence. METHODS: We estimated the smoking prevalence in 32 greater Boston neighborhoods (population = 877,943 adults) by using the electronic health record data of adults who in 2009 visited one of 26 Partners Primary Care PBRN practices (n = 77,529). We compared PBRN-derived estimates to population-based estimates derived from 1999-2009 Behavioral Risk Factor Surveillance System (BRFSS) data (n = 20,475). RESULTS: The PBRN estimates of neighborhood smoking status ranged from 5% to 22% and averaged 11%. The 2009 neighborhood-level smoking prevalence estimates derived from the BRFSS ranged from 5% to 26% and averaged 13%. The difference in smoking prevalence between the PBRN and the BRFSS averaged -2 percentage points (standard deviation, 3 percentage points). CONCLUSION: Health behavior data collected during routine clinical care by PBRNs and health systems could supplement or be an alternative to using traditional sources of public health data.

Comparing electronic health record portals to obtain patient-entered family health history in primary care.

BACKGROUND: There is growing interest in developing systems to overcome barriers for acquiring and interpreting family health histories in primary care. OBJECTIVE: To examine the capacity of three different electronic portals to collect family history from patients and deposit valid data in an electronic health record (EHR). DESIGN: Pilot trial. PARTICIPANTS, INTERVENTION: Patients were enrolled from four primary care practices and were asked to collect family health history before a physical exam using either telephone-based interactive voice response (IVR) technology, a secure Internet portal, or a waiting room laptop computer, with portal assigned by practice. Intervention practices were compared to a "usual care" practice, where there was no standard workflow to document family history (663 participants in the three intervention arms were compared to 296 participants from the control practice). MAIN MEASURES: New documentation of any family history in a coded EHR field within 30 days of the visit. Secondary outcomes included participation rates and validity. KEY RESULTS: Demographics varied by clinic. Documentation of new family history data was significantly higher, but modest, in each of the three intervention clinics (7.5 % for IVR clinic, 20.3 % for laptop clinic, and 23.1 % for patient portal clinic) versus the control clinic (1.7 %). Patient-entered data on common conditions in first degree relatives was confirmed as valid by a genetic counselor for the majority of cases (ranging from 64 to 82 % in the different arms). CONCLUSIONS: Within primary care practices, valid patient entered family health history data can be obtained electronically at higher rates than a standard of care that depends on provider-entered data. Further research is needed to determine how best to match different portals to individual patient preference, how the tools can best be integrated with provider workflow, and to assess how they impact the use of screening and prevention.

Surveillance after resection for colorectal cancer.

BACKGROUND: Professional societies recommend posttreatment surveillance for colorectal cancer (CRC) survivors. This study describes the use of surveillance over time, with a particular focus on racial/ethnic disparities, and also examines the role of area characteristics, such as capacity for CRC screening, on surveillance. METHODS: Surveillance, Epidemiology, and End Results (SEER)-Medicare data were used to identify individuals aged 66 to 85 years who were diagnosed with CRC from 1993 to 2005 and treated with surgery. The study examined factors associated with subsequent receipt of a colonoscopy, carcinoembryonic antigen (CEA) testing, primary care (PC) visits, and a composite measure of overall surveillance. RESULTS: Of eligible subjects, 61.0% had a colonoscopy, 68.0% had CEA testing, 77.1% had PC visits, and 43.0% received overall surveillance. After adjustment, blacks were less likely than whites to undergo colonoscopy (odds ratio [OR] 0.76, 95% confidence interval [CI] = 0.69-0.83) and to receive CEA testing and overall surveillance, whereas white/Hispanic rates did not differ. Rates for all outcomes increased from 1993 to 2005, but black/white disparities remained. Individuals in areas with greatest capacity for CRC screening were more likely (OR = 1.09, 95% CI = 1.02-1.18) to receive colonoscopy, and those in areas with the greatest percentage of blacks were less likely (OR = 0.89, 95% CI = 0.83-0.95) to receive colonoscopy. Those living in areas with shortage of PC were less likely to receive PC visits (OR = 0.55, 95% CI = 0.48-0.64) and overall surveillance (OR = 0.83, 95% CI = 0.71-0.98). CONCLUSIONS: Many CRC survivors do not get recommended surveillance, and black/white disparities in rates of surveillance have not improved. Characteristics of the area where an individual lives contribute to the use of surveillance.

Active pharmacovigilance and healthcare utilization.

OBJECTIVES: While active surveillance for adverse drug events using electronic medical records (EMRs) and claims data is expanding, these data do not fully capture patient experiences with medication-related symptoms. Our objective was to describe adherence and outcomes associated with an automated pharmacovigilance call. STUDY DESIGN/METHODS: Prospective cohort of patients receiving a prescription for a target medication at a participating primary care clinic were eligible for an automated phone pharmacovigilance call. Outcomes, compared for participants who completed (n = 1184) versus did not complete the call (n = 407), included EMR documentation during the 6 months following the call that the patient had: stopped the medication, used acute care services or died, or received a specialty or primary care visit. RESULTS: Compared with those who agreed to participate but did not complete the pharmacovigilance call, subjects who completed the call had greater rates of EMR-documented medication cessation (3.9% vs 1.0%, adjusted P value = .007), and use of primary or specialty care (32.8% vs 18.7%, P value <.0001), but similar use of acute care services or death (12.2% vs 9.8%, P = .38). Of participants, 50.2% reported >1 symptom; of these, 22.0% thought the symptom was medication-related. In contrast to the low rates of EMR-documented medication cessation, 21.2% of participants said that they were no longer taking the medication; 69% said that their doctor did not know that they had stopped. CONCLUSIONS: Automated phone pharmacovigilance provides important information about adherence, and was associated with greater EMR-documented medication cessation and planned service use.

Use of annual mammography among older women with ductal carcinoma in situ.

BACKGROUND: As ductal carcinoma in situ (DCIS) is a risk factor for invasive breast cancer, ongoing annual mammography is important for cancer control, yet little is known about racial/ethnic and other disparities in use among older women with DCIS. METHODS: SEER-Medicare data was used to identify women age 65-85 years, diagnosed with DCIS from 1992 to 2005 and treated with surgery, but not bilateral mastectomy. We examined factors associated with receipt of an initial mammogram within 1 year of treatment and subsequent annual mammograms for 3 and 5 years. We examined whether follow-up care, by a primary care physician or cancer specialist, or neighborhood characteristics mediated disparities in mammography use. RESULTS: Overall, 91.3% of women had an initial mammogram. After adjustment, blacks and Hispanics were less likely than whites to receive an initial mammogram (odds ratio (OR) 0.74, 95% confidence interval (CI) 0.55-0.99 and OR 0.65, CI 0.46-0.93, respectively, as were women of lower socioeconomic status (SES), women who had a mastectomy or breast conserving surgery without radiation therapy, and women who did not have a physician visit. Overall rates of annual mammography decreased over time. Disparities by SES, initial treatment type, and physician visit did not diminish over time. Physician visits had a modest effect on reducing initial racial/ethnic disparities. CONCLUSIONS: Annual mammography among women age 65 to 85 with DCIS declines as women get further from diagnosis. Interventions should focus on reducing disparities in the use of initial surveillance mammography, and increasing surveillance over time.

Clinician characteristics and use of novel electronic health record functionality in primary care.

BACKGROUND: Conventional wisdom holds that older, busier clinicians who see complex patients are less likely to adopt and use novel electronic health record (EHR) functionality. METHODS: To compare the characteristics of clinicians who did and did not use novel EHR functionality, we conducted a retrospective analysis of the intervention arm of a randomized trial of new EHR-based tobacco treatment functionality. RESULTS: The novel functionality was used by 103 of 207 (50%) clinicians. Staff physicians were more likely than trainees to use the functionality (64% vs 37%; p<0.001). Clinicians who graduated more than 10 years previously were more likely to use the functionality than those who graduated less than 10 years previously (64% vs 42%; p<0.01). Clinicians with higher patient volumes were more likely to use the functionality (lowest quartile of number of patient visits, 25%; 2nd quartile, 38%; 3rd quartile, 65%; highest quartile, 71%; p<0.001). Clinicians who saw patients with more documented problems were more likely to use the functionality (lowest tertile of documented patient problems, 38%; 2nd tertile, 58%; highest tertile, 54%; p=0.04). In multivariable modeling, independent predictors of use were the number of patient visits (OR 1.2 per 100 additional patients; 95% CI 1.1 to 1.4) and number of documented problems (OR 2.9 per average additional problem; 95% CI 1.4 to 6.1). CONCLUSIONS: Contrary to conventional wisdom, clinically busier physicians seeing patients with more documented problems were more likely to use novel EHR functionality.

Association of area sociodemographic characteristics and capacity for treatment with disparities in colorectal cancer care and mortality.

BACKGROUND: Disparities in treatment and mortality for colorectal cancer (CRC) may reflect differences in access to specialized care or other characteristics of the area where an individual lives. METHODS: Surveillance, Epidemiology and End Results Program-Medicare data for seniors diagnosed with CRC were linked to area measures of the sociodemographic characteristics and the capacity of surgeons, medical oncologists, and radiation oncologists. Outcomes included receipt of stage-appropriate CRC care and mortality. RESULTS: After adjustment, blacks and Hispanics were less likely than whites to undergo surgery (odds ratio [OR] 0.57, 95% confidence interval (CI) 0.52-0.63 and OR 0.82, 95% CI 0.70-0.95, respectively). Individuals who lived in areas with the highest tertile of surgeon capacity were more likely to undergo resection than those in the lowest, and use of surgery declined as the percentage of blacks in the area increased. Adjustment for the area measures resulted in a modest decline in disparities in care relative to whites (5.3% for black). Blacks also experienced greater all-cause and cancer-specific mortality than whites. Further adjustment for area sociodemographics and surgeon capacity reduced the disparity in mortality between blacks and whites. Although there was a similar black/white disparity in the use of adjuvant chemotherapy, the disparity remained after adjustment for area characteristics, although use of chemotherapy was greater in areas with the greatest capacity of medical oncologists. CONCLUSIONS: Sociodemographic characteristics and measures of the availability of specialized cancer providers in the area in which an individual resides modestly mediated disparities in the receipt of CRC care and mortality, suggesting that other factors may also be important.

Massachusetts health reform and disparities in coverage, access and health status.

BACKGROUND: Massachusetts health reform has achieved near-universal insurance coverage, yet little is known about the effects of this legislation on disparities. OBJECTIVE: Since racial/ethnic minorities and low-income individuals are over-represented among the uninsured, we assessed the effects of health reform on disparities. DESIGN: Cross-sectional survey data from the Behavioral Risk Factor Surveillance Survey (BRFSS), 2006-2008. PARTICIPANTS: Adults from Massachusetts (n = 36,505) and other New England states (n = 63,263). MAIN MEASURES: Self-reported health coverage, inability to obtain care due to cost, access to a personal doctor, and health status. To control for trends unrelated to reform, we compared adults in Massachusetts to those in all other New England states using multivariate logistic regression models to calculate adjusted predicted probabilities. KEY RESULTS: Overall, the adjusted predicted probability of health coverage in Massachusetts rose from 94.7% in 2006 to 97.7% in 2008, whereas coverage in New England remained around 92% (p < 0.001 for difference-in-difference). While cost-related barriers were reduced in Massachusetts, there were no improvements in access to a personal doctor or health status. Although there were improvements in coverage and cost-related barriers for some disadvantaged groups relative to trends in New England, there was no narrowing of disparities in large part because of comparable or larger improvements among whites and the non-poor. CONCLUSIONS: Achieving equity in health and health care may require additional focused intervention beyond health reform.

Association of local capacity for endoscopy with individual use of colorectal cancer screening and stage at diagnosis.

BACKGROUND: Limited capacity for endoscopy in areas in which African Americans and Hispanics live may be a reason for persistent disparities in colorectal cancer (CRC) screening and stage at diagnosis. METHODS: The authors linked data from the National Health Interview Survey on the use of CRC screening and data from Surveillance, Epidemiology, and End Results-Medicare on CRC stage with measures of county capacity for colonoscopy and sigmoidoscopy (endoscopy) derived from Medicare claims. RESULTS: Hispanics lived in counties with less capacity for endoscopy than African Americans or whites (for National Health Interview Survey, an average of 1224, 1569, and 1628 procedures per 100,000 individuals aged > or = 50 years, respectively). Individual use of CRC screening increased modestly as county capacity increased. For example, as the number of endoscopies per 100,000 residents increased by 750, the odds of being screened increased by 4%. Disparities in screening were mitigated or diminished by adjustment for area endoscopy capacity, racial/ethnic composition, and socioeconomic status. Similarly, among individuals with CRC, those who lived in counties with less endoscopy capacity were marginally less likely to be diagnosed at an early stage. Adjustment for area characteristics diminished disparities in stage for Hispanics compared with whites but not African Americans. CONCLUSIONS: Increasing the use of CRC screening may require interventions to improve capacity for endoscopy in some areas. The characteristics of the area where an individual resides may in part mediate disparities in CRC screening use for both African Americans and Hispanics, and disparities in cancer stage for Hispanics.

Familial risk of cancer and knowledge and use of genetic testing.

BACKGROUND: Identification of genetic risk factors for common diseases, including cancer, highlights the importance of familial risk assessment. Little is known about patterns of familial cancer risk in the general population, or whether this risk is associated with knowledge and use of genetic testing. OBJECTIVE: To examine the distribution of familial cancer risk and its associations with genetic testing in the United States. DESIGN: Cross-sectional analysis of the 2005 National Health Interview Survey (NHIS). PARTICIPANTS: 31,428 adults who completed the NHIS Cancer Control Supplement. MAIN MEASURES: Familial cancer risk was estimated based on the number of first-degree relatives with a breast and ovarian cancer syndrome (BRCA)- or a Lynch-associated cancer, age of onset (<50 or > or = 50 years), and personal history of any cancer. Outcomes included having heard of genetic testing, discussed genetic testing with a physician, been advised by a physician to have testing, and received genetic testing. KEY RESULTS: Most adults (84.5%) had no family history of BRCA- or Lynch syndrome-associated cancer; 12.9% had a single first-degree relative (5.3% with early onset); and 2.7% had > or = 2 first-degree relatives. Although 40.2% of adults had heard of genetic testing for cancer risk, only 5.6% of these individuals had discussed testing with a physician, and of these 36.9% were advised to be tested. Overall, only 1.4% of adults who had heard of genetic testing received a test. Familial risk was associated with higher rates of testing; 49.5% of participants in the highest risk group had heard of testing, of those 14.8% had discussed it with their physician, and 4.5% had received genetic testing. CONCLUSIONS: These nationally representative data provide estimates of the prevalence of familial cancer risk in the US and suggest that information about genetic testing is not reaching many at higher risk of inherited cancer.

An electronic health record-based intervention to improve tobacco treatment in primary care: a cluster-randomized controlled trial.

BACKGROUND: To improve the documentation and treatment of tobacco use in primary care, we developed and implemented a 3-part electronic health record enhancement: (1)smoking status icons, (2) tobacco treatment reminders, and (3) a Tobacco Smart Form that facilitated the ordering of medication and fax and e-mail counseling referrals. METHODS: We performed a cluster-randomized controlled trial of the enhancement in 26 primary care practices between December 19, 2006, and September 30, 2007. The primary outcome was the proportion of documented smokers who made contact with a smoking cessation counselor. Secondary outcomes included coded smoking status documentation and medication prescribing. RESULTS: During the 9-month study period, 132 630 patients made 315 962 visits to study practices. Coded documentation of smoking status increased from 37% of patients to 54% (+17%) in intervention practices and from 35% of patients to 46% (+11%) in control practices (P < .001 for the difference in differences). Among the 9589 patients who were documented smokers at the start of the study, more patients in the intervention practices were recorded as nonsmokers by the end of the study (5.3% vs 1.9% in control practices; P < .001). Among 12 207 documented smokers, more patients in the intervention practices made contact with a cessation counselor (3.9% vs 0.3% in control practices; P < .001). Smokers in the intervention practices were no more likely to be prescribed smoking cessation medication (2% vs 2% in control practices; P = .40). CONCLUSION: This electronic health record-based intervention improved smoking status documentation and increased counseling assistance to smokers but not the prescription of cessation medication.

Racial segregation and disparities in breast cancer care and mortality.

BACKGROUND: Questions have existed as to whether residential segregation is a mediator of racial/ethnic disparities in breast cancer care and breast cancer mortality, or has a differential effect by race/ethnicity. METHODS: Data from the Surveillance, Epidemiology, and End Results-Medicare database on white, black, and Hispanic women aged 66 to 85 years with breast cancer were examined for the receipt of adequate breast cancer care. RESULTS: Blacks were less likely than whites to receive adequate breast cancer care (odds ratio [OR], 0.78; 95% confidence interval [CI], 0.71-0.86). Individuals, both black and white, who lived in areas with greater black segregation were less likely to receive adequate breast cancer care (OR, 0.73; 95% CI, 0.64-0.82). Black segregation was a mediator of the black/white disparity in breast cancer care, explaining 8.9% of the difference. After adjustment, adequate care for Hispanics did not significantly differ from whites, but individuals, both Hispanic and white, who lived in areas with greater Hispanic segregation were less likely to receive adequate breast cancer care (OR, 0.73; 95% CI, 0.61-0.89). Although Blacks experienced greater breast cancer mortality than whites, black segregation did not substantially mediate the black-white disparity in survival, and was not significantly associated with mortality (hazards ratio, 1.03; 95% CI, 0.87-1.21). Breast cancer mortality did not differ between Hispanics and whites. CONCLUSIONS: Among seniors, segregation mediates some of the black-white disparity in breast cancer care, but not mortality. Individuals who live in more segregated areas are less likely to receive adequate breast cancer care.