Karen E. Lutfey

Fundamental Causality: Challenges of an Animating Concept for Medical Sociology

Arguably, the most important problem at the intersection of sociology and epidemiology is how to understand the pervasive positive relationship between various indicators of social position (hereafter, socioeconomic status or SES) and health. The lower status people are, the sooner they die, and the worse health they have while alive. Negative associations between SES and health overall have been found in almost every place and time for which data permit adequate study, implying that the generalization has held even as the prevalence of particular causes of ill-health and death have varied (see reviews in Marmot 2004; Link and Phelan 1995; Deaton 2002; House et al. 1990). In addition, data suggest that the negative association between at least some indicators of SES and some indicators of health may be increasing in some populations, including the United States (Duncan 1996; Lauderdale 2001; Preston and Elo 1995; Steenland et al. 2004; Krieger et al. 2008). Meara et al. (2008) found that while life expectancy had increased 1.6 years between 1990 and 2000 among those who had attended college, it had not increased at all over this same period among those who had not. While various caveats can be raised, none should detract from appreciating that socioeconomic disparities in health in studied populations overwhelmingly are pervasive and profound.

Examining Critical Health Policy Issues within and beyond the Clinical Encounter Patient–Provider Relationships and Help-seeking Behaviors

Among notable issues in health care policy and practice over the past 50 years have been those centered on the changing dynamics in clinical encounters, predominantly the relationship between physicians and patients and access to health care. Patient roles have become more active, diverse, long-term, and risk-based, while patient—provider relationships are multifaceted, less paternalistic, and more pivotal to health outcomes. Extensive literatures on help-seeking show how much social influences affect both undertreatment and inappropriate high utilization of health care. The challenge in trying to contain the growth of health care costs is two-fold: developing better ways of defining need for care and promoting better access for those who could benefit most from health care. Both of these strategies need to be considered in the context of addressing racial, ethnic, socioeconomic, and health status disparities. Rebuilding the primary care sector as a sociologically informed strategy and a key component of health care reform may optimize both health care delivery and patient outcomes.

Using Focus Groups to Improve the Validity of Cross-National Survey Research: A Study of Physician Decision Making

In this article, the authors demonstrate how qualitative methods can form a foundation for quantitative research by improving instrument validity, informing the data collection process, and improving cost-effectiveness in a study of physician decision making. To test terminology, applicability, and comprehension of a quantitative questionnaire for doctors in the United States and United Kingdom, each countrys researchers conducted physician focus groups with questions organized around the experiment, including (a) validity of video vignettes of actor “patients,” (b) population accessibility, (c) level of remuneration, (d) appropriate endorsement figure, and (e) question comprehension. Focus group data collected during instrument development and fieldwork planning streamlined processes and achieved cost efficiencies and effectiveness for the overall study. Beyond simply adding a post hoc qualitative component to an already free-standing quantitative methodology, focus groups were used in the study formulation, where the qualitative methodology was integrated into the process of developing a valid survey instrument.

Prevalence and overlap of childhood and adult physical, sexual, and emotional abuse: a descriptive analysis of results from the Boston Area Community Health (BACH) survey.

Abuse is associated with a wide variety of health problems, yet comprehensive population-based data are scant. Existing literature focuses on a single type of abuse, population, or lifestage. Using a racially/ethnically diverse community-based sample, we document the prevalence of physical, emotional, and sexual abuse by lifestage and gender; assess variation in abuse by sociodemographics; establish overlap of abuses; and examine childhood abuse relationships with abuse in adulthood. Prevalence of abuse ranges from 15% to 27%; women report more adulthood emotional abuse and lifetime sexual abuse than men; reports of abuse can vary by race/ethnicity and poverty status, particularly in women; there is overlap between types of abuse; and a history of childhood abuse is associated with a greater risk of abuse as an adult.

Physician cognitive processing as a source of diagnostic and treatment disparities in coronary heart disease: results of a factorial priming experiment.

Literature on health disparities documents variations in clinical decision-making across patient characteristics, physician attributes, and among health care systems. Using data from a vignette-based factorial experiment of 256 primary care providers, we examine the cognitive basis of disparities in the diagnosis and treatment of coronary heart disease (CHD). We explore whether previously observed disparities are due to physicians (1) not fully considering CHD for certain patients or (2) considering CHD but then discounting it. Half of the physicians in the experiment were primed with explicit directions to consider a CHD diagnosis, and half were not. Relative to their unprimed counterparts, primed physicians were more likely to order CHD-related tests and prescriptions. However, the main effects for patient gender and age remained, suggesting that physicians treated these demographic variables as diagnostic features indicating lower risk of CHD for these patients. This finding suggests that physician appeals to perceived base rates have the potential to contribute to the further reification of socially constructed health statistics.

What happens along the diagnostic pathway to CHD treatment? Qualitative results concerning cognitive processes.

Extensive research on health disparities documents persistent differential diagnosis and treatment of many conditions according to patient characteristics, physician attributes, and healthcare systems. Less is known about how physicians arrive at their decisions. We use qualitative data from a vignette-based factorial experiment to examine how physicians reason through and account for their clinical decisions, and how variations arise despite the presentation of identical symptoms of coronary heart disease (CHD). We find that physicians show evidence of cognitive biases but also actively interpret social characteristics they deem relevant to medical treatment. In an uncertain clinical context, these diagnostic pathways expose key junctures wherein physicians are detoured to alternative diagnoses, their certainty of CHD lowered, and scientific logic makes it difficult to return to a CHD diagnosis - thereby providing a fuller picture of why some cases are counted as CHD while others are not. These results have important implications insofar as diagnostic decisions like these contribute to the compilation of epidemiologic base rates, and are therefore used as part of Bayesian decision making to determine the probability of CHD in subsequent patients. This work resonates with social constructivist concerns regarding the ways disease categories are established and maintained, and potential sources of bias in official rates detected.

The Decision to Intensify Therapy in Patients with Type 2 Diabetes: Results from an Experiment Using a Clinical Case Vignette

Purpose: Lack of medication intensification is a widely recognized but poorly understood barrier to effective diabetes care. We used a video case vignette to assess whether patient or physician demographic variables influence the decision to intensify therapy. Methods: One hundred ninety-two US primary care physicians each viewed one case vignette of an actor portraying a patient who had type 2 diabetes and borderline indications for medication intensification. Case vignettes were clinically identical and differed only by patient age (35 or 65 years old); sex; race/ethnicity (white, Hispanic, or black); and socioeconomic status (occupation of lawyer or janitor). After viewing the vignette and indicating their management plans, physicians were also asked to discuss the challenges related to managing such a patient. Results: Just over half (53%) of physicians indicated that they would recommend a medication prescription for the vignette patient. Demographic characteristics (of the patient, physician, or practice) did not significantly influence this decision (P > .1 for all comparisons). Compared with physicians who did not recommend a diabetic-related prescription, physicians recommending therapy more often identified patient medication costs (74% vs 43% of physicians who would not increase therapy); medication adherence (63% vs 49%); and subsequent complications (34% vs 22%) as important clinical issues in managing diabetes. Physicians not intensifying therapy more often indicated that they needed more clinical information (16% vs 9%). Conclusions: Using an experimental design we found that differences in the decision to intensify therapy were not significantly explained by patient, physician, or practice demographic variables. Physicians who intensified therapy were more likely to consider issues such as medication costs, patient adherence, and downstream complications.

Gendered Uncertainty and Variation in Physicians’ Decisions for Coronary Heart Disease The Double-Edged Sword of “Atypical Symptoms”

Nonmedical factors and diagnostic certainty contribute to variation in clinical decision making, but the process by which this occurs remains unclear. We examine how physicians’ interpretations of patient sex-gender affect diagnostic certainty and, in turn, decision making for coronary heart disease. Data are from a factorial experiment of 256 physicians who viewed 1 of 16 video vignettes with different patient-actors presenting the same symptoms of coronary heart disease. Physician participants completed a structured interview and provided a narrative about their decision-making processes. Quantitative analysis showed that diagnostic uncertainty reduces the likelihood that physicians will order tests and medications appropriate for an urgent cardiac condition in particular. Qualitative analysis revealed that a subset of physicians applied knowledge that women have “atypical symptoms” as a generalization, which engendered uncertainty for some. Findings are discussed in relation to social-psychological processes that underlie clinical decision making and the social framing of medical knowledge.

What do physicians gain (and lose) with experience? Qualitative results from a cross-national study of diabetes.

An empirical puzzle has emerged over the last several decades of research on variation in clinical decision making involving mixed effects of physician experience. There is some evidence that physicians with greater experience may provide poorer quality care than their less experienced counterparts, as captured by various quality assurance measures. Physician experience is traditionally narrowly defined as years in practice or age, and there is a need for investigation into precisely what happens to physicians as they gain experience, including the reasoning and clinical skills acquired over time and the ways in which physicians consciously implement those skills into their work. In this study, we are concerned with 1) how physicians conceptualize and describe the meaning of their clinical experience, and 2) how they use their experience in clinical practice. To address these questions, we analyzed qualitative data drawn from in-depth interviews with physicians from the United States, United Kingdom, and Germany as a part of a larger factorial experiment of medical decision making for diabetes. Our results show that common measures of physician experience do not fully capture the skills physicians acquire over time or how they implement those skills in their clinical work. We found that what physicians actually gain over time is complex social, behavioral and intuitive wisdom as well as the ability to compare the present day patient against similar past patients. These active cognitive reasoning processes are essential components of a forward-looking research agenda in the area of physician experience and decision making. Guideline-based outcome measures, accompanied by underdeveloped age- and years-based definitions of experience, may prematurely conclude that more experienced physicians are providing deficient care while overlooking the ways in which they are providing more and better care than their less experienced counterparts.

Diagnostic Certainty as a Source of Medical Practice Variation in Coronary Heart Disease: Results from a Cross-National Experiment of Clinical Decision Making

The authors examined physician diagnostic certainty as one reason for cross-national medical practice variation. Data are from a factorial experiment conducted in the United States, the United Kingdom, and Germany, estimating 384 generalist physicians’ diagnostic and treatment decisions for videotaped vignettes of actor patients depicting a presentation consistent with coronary heart disease (CHD). Despite identical vignette presentations, the authors observed significant differences across health care systems, with US physicians being the most certain and German physicians the least certain (P < 0.0001). Physicians were least certain of a CHD diagnoses when patients were younger and female (P < 0.0086), and there was additional variation by health care system (as represented by country) depending on patient age (P < 0.0100) and race (P < 0.0021). Certainty was positively correlated with several clinical actions, including test ordering, prescriptions, referrals to specialists, and time to follow-up.