Patient assertiveness in ethnically diverse older women with breast cancer: Challenging stereotypes of the elderly

Patients' views of patient-physician interactions—particularly the perspectives of older, ethnically diverse women—are poorly understood. The older patient's attitude toward and understanding of the medical encounter, however, are essential to the design of strategies to improve patient-physician communication. To date, investigations have primarily emphasised the ways in which the therapeutic relationship is influenced by immutable patient characteristics. This qualitative study extends previous research findings by looking beyond the effect of ascribed categories (such as age, race, and gender) and focusing on aspects of patient behavior, specifically assertiveness. Focus groups were conducted with older African-, Chinese-, European-, and Hispanic American breast cancer patients from sites in the eastern and western United States. The study explores the potential of a form of patient activation for challenging stereotypes of the elderly and changing health care practitioners' behavior.     

Finite mixture models with concomitant information: assessing diagnostic criteria for diabetes

The World Health Organization (WHO) diagnostic criteria for diabetes mellitus were determined in part by evidence that in some populations the plasma glucose level 2 h after an oral glucose load is a mixture of two distinct distributions. We present a finite mixture model that allows the two component densities to be generalized linear models and the mixture probability to be a logistic regression model. The model allows us to estimate the prevalence of diabetes and sensitivity and specificity of the diagnostic criteria as a function of covariates and to estimate them in the absence of an external standard. Sensitivity is the probability that a test indicates disease conditionally on disease being present. Specificity is the probability that a test indicates no disease conditionally on no disease being present. We obtained maximum likelihood estimates via the EM algorithm and derived the standard errors from the information matrix and by the bootstrap. In the application to data from the diabetes in Egypt project a two-component mixture model fits well and the two components are interpreted as normal and diabetes. The means and variances are similar to results found in other populations. The minimum misclassification cutpoints decrease with age, are lower in urban areas and are higher in rural areas than the 200 mg dl^-1 cutpoint recommended by the WHO. These differences are modest and our results generally support the WHO criterion. Our methods allow the direct inclusion of concomitant data whereas past analyses were based on partitioning the data.     

GENDER, EARNINGS, AND THE ENGLISH SKILL ACQUISITION OF HISPANIC WORKERS IN THE UNITED STATES

Using the 1980 and 1990 Public Use Microdata Samples, we find that labor market outcomes associated with English proficiency vary with respect to gender. For example, a synthetic cohort analysis provides evidence of gender-related differences in Hispanic workers' English skill acquisition. Moreover, we observe that Hispanic women face a lower English deficiency earnings penalty that rises more sharply with education than the penalty obtained by their otherwise similar male peers. Finally, English fluency appears to serve as a stronger occupational sorting mechanism for women than men. ( JEL J3, J1)     

Organizational effectiveness. Primary care and the congruence model

The congruence model is a framework used to analyze organizational strengths and weaknesses and pinpoint specific areas for improving effectiveness. This article provides an overview of organizations as open systems, with examples in the primary care arena. It explains and applies the congruence model in the context of primary care issues and functions, including methods by which the model can be used to diagnose organizational problems and generate solutions. Changes needed in primary care due to the managed care environment, and areas of potential problems and sensitivities requiring organizational changes to meet market and regulatory demands now placed on PCOs are examined.     

Making the journey into the networked enterprise, Part 2

In the May issue of Physician Executive, the authors described the difficulties other industries have had with vertical integration and why so many corporations have abandoned it for other organizational structures. In this second part of the series, they explore the ways health care organizations can make the shift into integrated delivery systems, avoiding the trap of the hierarchical, vertically integrated monolithic structures that will become the dinosaurs of the future.     

Practicing managed care in the academic medical center

The purpose of this article is to outline the contrasts between the traditional AMC and an organization oriented toward the delivery of population-based managed care. Academic medical centers differ from one another considerably in the extent to which they serve as quaternary care community resources, the degree to which they emphasize primary care in training and care delivery, and the amount of research undertaken. Nor is there a single organizational structure for managed care; successful managed care is practices in IPAs, multispecialty groups, PHOs, and staff-model HMOs. Nonetheless, the contrasts outlined here between AMCs and managed care organizations (MCOs) are valid in most cases.     

The computerized patient record and confidentiality. The nabobs of negativism are wrong

The handwritten medical record has been the method of choice for documenting health care data since the last millennium. Given this successful tenure, it would be natural to greet any new information system that purports to be an advancement with skepticism. Moreover, physicians as a group are hardly progressive. Yet health care is taking a giant leap and is finally accepting computerization. The advantages and drawbacks of computerized information systems have long been thoroughly tested in such diverse industries as the military, banking, and the airlines. It is difficult to imagine any of these industries in their modern form without an advanced information system.