Early Initiation of Colorectal Cancer Screening in Individuals with Affected First-degree Relatives

BACKGROUND: Several guidelines recommend initiating colorectal cancer screening at age 40 for individuals with affected first-degree relatives, yet little evidence exists describing how often these individuals receive screening procedures. OBJECTIVES: To determine the proportion of individuals in whom early initiation of colorectal cancer screening might be indicated and whether screening disparities exist. DESIGN: Population-based Supplemental Cancer Control Module to the 2000 National Health Interview Survey. PARTICIPANTS: Respondents, 5,564, aged 40 to 49 years were included within the analysis. MEASUREMENTS: Patient self-report of sigmoidoscopy, colonoscopy, or fecal occult blood test. RESULTS: Overall, 279 respondents (5.4%: 95% C.I., 4.7, 6.2) reported having a first-degree relative affected with colorectal cancer. For individuals with a positive family history, 67 whites (27.9%: 95% C.I., 21.1, 34.5) and 3 African American (9.3%: 95% C.I., 1.7, 37.9) had undergone an endoscopic procedure within the previous 10 years (P-value = .03). After adjusting for age, family history, gender, educational level, insurance status, and usual source of care, whites were more likely to be current with early initiation endoscopic screening recommendations than African Americans (OR = 1.38: 95% C.I., 1.01, 1.87). Having an affected first-degree relative with colorectal cancer appeared to have a stronger impact on endoscopic screening for whites (OR = 3.21: 95% C.I., 2.31, 4.46) than for African Americans (OR = 1.05: 95% C.I., 0.15, 7.21). CONCLUSIONS: White participants with a family history are more likely to have endoscopic procedures beginning before age 50 than African Americans

Faculty Self-reported Experience with Racial and Ethnic Discrimination in Academic Medicine

BACKGROUND: Despite the need to recruit and retain minority faculty in academic medicine, little is known about the experiences of minority faculty, in particular their self-reported experience of racial and ethnic discrimination at their institutions. OBJECTIVE: To determine the frequency of self-reported experience of racial/ethnic discrimination among faculty of U.S. medical schools, as well as associations with outcomes, such as career satisfaction, academic rank, and number of peer-reviewed publications. DESIGN: A 177-item self-administered mailed survey of U.S. medical school faculty. SETTING: Twenty-four randomly selected medical schools in the contiguous United States. PARTICIPANTS: A random sample of 1,979 full-time faculty, stratified by medical school, specialty, graduation cohort, and gender. MEASUREMENTS: Frequency of self-reported experiences of racial/ethnic bias and discrimination. RESULTS: The response rate was 60%. Of 1,833 faculty eligible, 82% were non-Hispanic white, 10% underrepresented minority (URM), and 8% nonunderrepresented minority (NURM). URM and NURM faculty were substantially more likely than majority faculty to perceive racial/ethnic bias in their academic environment (odds ratio [OR], 5.4; P < .01 and OR, 2.6; P < .01, respectively). Nearly half (48%) of URM and 26% of NURM reported experiencing racial/ethnic discrimination by a superior or colleague. Faculty with such reported experiences had lower career satisfaction scores than other faculty (P < .01). However, they received comparable salaries, published comparable numbers of papers, and were similarly likely to have attained senior rank (full or associate professor). CONCLUSIONS: Many minority faculty report experiencing racial/ethnic bias in academic medicine and have lower career satisfaction than other faculty. Despite this, minority faculty who reported experiencing racial/ethnic discrimination achieved academic productivity similar to that of other faculty

Extracting timing and status descriptors for colonoscopy testing from electronic medical records

Colorectal cancer (CRC) screening rates are low despite confirmed benefits. The authors investigated the use of natural language processing (NLP) to identify previous colonoscopy screening in electronic records from a random sample of 200 patients at least 50 years old. The authors developed algorithms to recognize temporal expressions and ‘status indicators’, such as ‘patient refused’, or ‘test scheduled’. The new methods were added to the existing KnowledgeMap concept identifier system, and the resulting system was used to parse electronic medical records (EMR) to detect completed colonoscopies. Using as the ‘gold standard’ expert physicians' manual review of EMR notes, the system identified timing references with a recall of 0.91 and precision of 0.95, colonoscopy status indicators with a recall of 0.82 and precision of 0.95, and references to actually completed colonoscopies with recall of 0.93 and precision of 0.95. The system was superior to using colonoscopy billing codes alone. Health services researchers and clinicians may find NLP a useful adjunct to traditional methods to detect CRC screening status. Further investigations must validate extension of NLP approaches for other types of CRC screening applications