Breast cancer: factors associated with stage at diagnosis in black and white women. Black/White Cancer Survival Study Group.

BACKGROUND: Numerous studies have reported differences in cancer staging at diagnosis and in survival between Black and White patients with breast cancer. Utilizing data obtained from the National Cancer Institute's (NCI's) Black/White Cancer Survival Study for the period 1985-1986, a new study is presented here that systematically examines multiple explanatory factors (e.g., lack of mammograms) associated with these cancer-staging differences. PURPOSE: We evaluated within a single study the relationship of selected demographic, lifestyle, antecedent medical experiences, and health care access factors to cancer staging at diagnosis in Black and White breast cancer patients. METHODS: Data utilized in this population-based cohort study of 1222 eligible women (649 Black and 573 White) newly diagnosed for the period 1985-1986 with histologically confirmed primary breast cancer were obtained from the NCI's Black/White Cancer Survival Study. Sources of data included abstracts of hospital medical records, central review of histology slides by a study consultant pathologist, and patient interviews obtained from three metropolitan areas: Atlanta, New Orleans, and San Francisco-Oakland. Within each area, 70% of all Black incident cases were randomly selected, and a sample of White cases, frequency matched by age groups (20-49 years, 50-64 years, and 65-79 years), was selected for comparison. Stage of breast cancer at diagnosis was classified according to the international tumor-lymph node-metastases (TNM) system. Statistical models utilized in this study included the log-linear and polychotomous logistic regression with multiple predictor variables. RESULTS: Factors associated with cancer staging were differentially expressed in Blacks and Whites. Indicators of access to health care, a lack of mammograms, and an increased body mass index significantly (P < .02) contributed to stage differences in Blacks, whereas income was marginally associated (P = .06) with stage for Whites only. Nuclear grade, having a breast examination by a physician, and a history of patient delay explained approximately 50% of the excess risk for stage III-IV cancer versus stage I-IIN0 cancer among Blacks compared with Whites (odds ratio reduction from 2.19 to 1.68). CONCLUSION: These findings suggest that no single factor or group of factors can explain more than half of the race-stage differences noted in this study with respect to Black and White breast cancer patients.

The relationship between social ties and survival among black and white breast cancer patients. National Cancer Institute Black/White Cancer Survival Study Group.

The relationship between social ties, stage of disease, and survival was analyzed in a population-based sample of 525 black and 486 white women with newly diagnosed breast cancer. There were significant differences between the two race groups in reported social ties. Using logistic regression to adjust for the effects of age, race, study area, education, and the presence of symptoms, there was little or no evidence for an association between individual network measures of social ties and stage of disease. However, a summary measure of social networks was found to be associated modestly with late stage disease, attributable in part to significantly more advanced disease among black, but not white, women reporting few friends and relatives [relative risk (RR) = 1.8; 95% confidence interval (CI) = 1.1-3.0]. With adjustments for differences in stage of disease and other covariates, and with the use of Cox proportional hazards modeling to estimate hazard ratios, the absence of close ties and perceived sources of emotional support were associated significantly with an increased breast cancer death rate. White women in the lowest quartile of reported close friends and relatives had twice the breast cancer death rate of white women in the highest quartile (RR = 2.1; 95% CI = 1.1-4.4). Notably, both black and white women reporting few sources of emotional support had a higher death rate from their disease during the 5-year period of follow-up (RR = 1.8; 95% CI = 1.3-2.5).(ABSTRACT TRUNCATED AT 250 WORDS)

Further psychometric evaluations of a class-ranking model as a predictor of graduates' clinical competence in the first year of residency.

PURPOSE: To investigate further the psychometrics of a class-ranking model in which a weight of one-third was assigned to performance measures in basic sciences and a weight of two-thirds to ratings on six core clerkships. METHOD: The first part of the study involved 215 graduates of Jefferson Medical College who--based on the ranking model--had been in the top and bottom quarters of the classes of 1991 and 1992. Six faculty, who did not know the graduates' ranks but were familiar with their performances and characteristics, were asked to judge the graduates' potential to become competent physicians. The graduates' ranks according to the model were then compared with the ratings they received from the faculty. The second part of the study investigated whether there was a linear relationship between class ranks and ratings of postgraduate competence, by using directors' ratings of the data-gathering skills of 598 graduates (1986-1990) at the end of their first year of residency. RESULTS: A concordance rate of 85% was obtained between the graduates' ranks and the ratings they received from the medical school faculty, which supports the criterion-related validity of the ranking model. In addition, class ranks were linearly related to ratings of postgraduate competence. However, women and graduates who had been low achievers in medical school were less likely to have given permission for collecting postgraduate ratings, which led to range restriction and a possible underestimation of the validity of the model. CONCLUSION: The psychometric evidence supports the class-ranking model, but other schools should exercise caution in employing the model until they accumulate evidence from data obtained from their own students.

Postbaccalaureate preparation and performance in medical school.

The question whether postbaccalaureate preparation before matriculation in medical school contributes to medical students' performance was addressed by this study. A total of 610 (91%) of the students who entered Jefferson Medical College between 1985 and 1987 were the study sample. Fifty-eight of these students had taken nondegree undergraduate premedical courses and 15 had taken nondegree graduate courses. Fourteen students held graduate degrees and 60 students had some combination of the aforementioned types of postbaccalaureate preparations. The other 463 students had not taken postbaccalaureate courses. Grades received in medical school courses such as anatomy, biochemistry, mechanisms of disease, physiology, microbiology, pathology, and pharmacology, as well as total scores on Part I of the National Board of Medical Examiners examination were selected as performance variables. Statistical analyses showed that the students who had taken nondegree postbaccalaureate courses had lower undergraduate grade-point averages than those without such courses and received lower grades on some measures of performance in medical school. The students with such additional academic backgrounds were also older than the average medical student. When adjustments were made for undergraduate grade-point averages by applying analysis of covariance, the observed differences that favored the group without postbaccalaureate preparation either became nonsignificant or favored those with such preparation. The differences favoring those without postbaccalaureate preparation could be accounted for mostly by these students' higher undergraduate grade-point averages and younger ages. Implications for admission decisions with regard to the changing applicant pool are discussed.

Recognition of emotional distress in physically healthy primary care patients who perceive poor physical health.

This study examines the recognition and treatment of emotional distress in physically healthy primary care patients who perceive themselves to be in fair or poor physical health. Patients (N = 892) from three private primary care practices completed a mental health screening form prior to their medical visit which included an overall assessment of their physical health (1 = excellent, 2 = good, 3 = fair, 4 = poor). Following the visit, their physicians completed a questionnaire that included the same physical health assessment item. The study group, physically healthy patients who perceive poor physical health (HPPPH), included those patients who rated their physical health as 2 or 3 points more impaired than it was rated by their physician. HPPPH (N = 39) were significantly more likely than other patients (N = 853) to report a prior psychiatric hospitalization (p < 0.05), marital difficulties (p < 0.01), recent missed work due to a mental health problem (p < 0.001), and a range of anxiety, depressive, and psychosomatic symptoms. However, HPPPH were also significantly more likely than other patients to receive excellent emotional health ratings (p < 0.001) from their physicians and were less likely to receive mental health treatment (p < 0.05). Detection of emotional distress may be particularly difficult in physically healthy patients who have low physical health perceptions. Identification of pessimistic physical health perceptions may serve as an indicator for underlying emotional distress.

A diagnostic aid for detecting (DSM-IV) mental disorders in primary care.

This study was designed to develop and validate a new computerized version of the Symptom Driven Diagnostic System for Primary Care (SDDS-PC) and examine its feasibility in primary care practice. One thousand and one patients (ages 18-70) coming for routine care to Kaiser-Permanente were screened on a self-administered symptom scale for major depression, alcohol and drug dependence, generalized anxiety, panic and obsessive compulsive disorders, and suicidal behavior. The screen was followed up by a brief diagnostic interview, administered by a nurse, which yielded a one-page summary of positive symptoms and a provisional computer-generated diagnosis for the physician. The physician reviewed the summary results and made a diagnosis. The nurse and physician were blind to the screen results. Patients were reinterviewed within 96 hours by a mental health professional (MHP) blind to previous results. The nurses' interviews ranged between 1.5 and 3.5 minutes for a screened positive diagnosis. Agreement between the nurse and physician diagnoses was excellent to moderate. Disagreement was usually in the direction of the physician ruling out major mental disorders in favor of subsyndromal or medical explanations. Only rarely did physicians diagnose disorders not detected by the nurse interview. Agreement between physician and MHP was moderate. Physicians using the SDDS-PC seldom made diagnoses that were not confirmed by the independent assessment of the MHP. The SDDS-PC may facilitate recognition of psychiatric disorders and minimize the physician's time in information gathering.

Psychological management by family physicians.

BACKGROUND: It is frequently assumed that primary care physicians seldom provide psychological interventions to their patients with mental health problems. This study examines self-reports of psychological interventions by family physicians. METHODS: Primary care patients (N = 937) completed a mental health screening form immediately prior to their medical visit. Results were withheld from their seven respective physicians. Following the visit, the physicians were asked to classify the range of psychological interventions they used to manage their patients' emotional problems during the visit. A structured psychiatric diagnostic interview was subsequently administered to a subgroup of the patients (n = 388). RESULTS: At least one psychological intervention was provided to nearly one fourth (24.1%) of the patients. The interventions included listening to the patient's emotional problems (22.4%), providing advice (19.0%), discussing the patient's mental disorder diagnosis (11.4%), and providing individual counseling (8.4%) or family counseling (0.6%). Two thirds (66.7%) of the patients who reported that their emotional health was poor received at least one of these psychological interventions. In a multivariate model, the likelihood of receiving a psychological intervention was higher for patients who were separated or divorced; those between 45 and 59 years of age; those with less than a college education; those who received disability payments; those who reported poor emotional health; and those who had a positive screening result for panic disorder, major depressive disorder, or obsessive-compulsive disorder. CONCLUSIONS: Primary care physicians may be far more extensively involved in providing psychological interventions than is commonly assumed.

Medical student counseling: the Rush Medical College Adviser Program.

An adviser program has been instituted at Rush Medical College which utilizes specially selected and trained faculty members and provides comprehensive counseling with continuity of contact between adviser and student through the four years of medical school. In this paper, the authors describe the development of the program and the evaluations used to determine its efficacy. The authors conclude that the personal characteristics and time commitment of the advisers are of primary importance rather than their training discipline, that continuity of contact between student and adviser fosters the development of the most beneficial relationships, that advisers require special training during the entire time of their service as advisers, and that the program and the advisers require continual monitoring so that deficient performance and changing needs can be promptly identified.

Postbaccalaureate preparation and performance in medical school.

Medical students with some postbaccalaureate preparations were compared with those without such preparations. Before adjustment for undergraduate GPAs significant differences were observed in the favor of those without such preparations, but after adjustments for undergraduate GPAs, the previously obtained differences became either non-significant, or significant in the favor of those with postbaccalaurate preparations.

Prevalence of mental disorders in primary care. Implications for screening.

OBJECTIVES: To determine the prevalence of five mental disorders in primary care and to identify patient groups that have a relatively high prevalence of these disorders. DESIGN: Two-stage case identification design that involves administration of a 16-item screening instrument followed by an independent diagnostic assessment. SETTING: Three family practice offices in Rhode Island. SUBJECTS: A total of 937 primary care patients completed the brief screen, 388 of whom completed the independent diagnostic assessment. PREVALENCE ESTIMATION: A Bayesian procedure was used to estimate prevalence of mental disorder from screening and assessment results. Independent assessments were based on the Structured Clinical Interview for DSM-III-R administered by a mental health professional. RESULTS: The prevalence estimates were alcohol abuse or dependence, 3.2%; generalized anxiety disorder, 2.8%; major depressive disorder, 14.1%; obsessive-compulsive disorder, 2.2%; panic disorder, 6.2%; and any of the five disorders, 22.0%. The prevalence of any of the five disorders was higher in patients returning for follow-up visits (27.9%) than in those either presenting with a new illness (21.7%) or seeking a routine physical examination (11.8%). The combined prevalence was also higher in patients with a chronic medical problem (25.8%) than in those without (16.7%). CONCLUSIONS: Patients returning for follow-up care and, to a lesser extent, those with chronic medical problems appear to be at increased risk of having a mental disorder. The practice of selectively screening new patients for mental health problems is questioned. Screening efforts in primary care should include established patients and those with chronic medical illnesses as well as new patients.

Brief screens for mental disorders in primary care.

We evaluated a set of diagnostic screens for mental disorders in primary care. A self-administered screening questionnaire containing 26 items testing for multiple mental disorders was completed by 1,001 patients. Brief diagnostic modules, structured for psychiatric diagnoses, were subsequently administered to each patient by a research nurse. Operating characteristics of the screens were as follows: alcohol dependence (sensitivity [SE] 0.75; positive predictive value [PPV] 0.58; [kappa] 0.63), drug dependence (SE 0.50; PPV 0.50; kappa 0.50), generalized anxiety disorder (SE 0.74; PPV 0.44; kappa 0.44), major depressive disorder (SE 0.71; PPV 0.52; kappa 0.50), obsessive compulsive disorder (SE 0.71; PPV 0.15; kappa 0.21), and panic disorder (SE 0.71; PPV 0.43; kappa 0.48). Other chance-corrected measures of agreement are also reported, and criterion validity of the screens is examined. The results provide evidence that the screens discriminate between patients with symptomatology meeting established diagnostic criteria and those without. They detected previously unrecognized cases in this study and may prove to be valuable tools for psychiatric diagnosis in primary care.