A Theory of Health Disparities and Medical Technology

Abstract Better-educated people are healthier, although the sources of this relationship remain unclear. Starting with basic principles of consumer theory, we develop a model of how health disparities are determined that does not depend on the precise causal mechanism. Improvements in the productivity of health care disproportionately benefit the heaviest health care users. Since richer patients tend to use the most health care, this suggests that new technologies—by making more diseases treatable, reducing the price of health care, or improving health care productivity—could widen socioeconomic disparities in health. An exception to this rule, however, is a simplifying technology, which can contract health disparities, since richer patients are more likely to invest effort in adhering to complex treatment regimens. We present a few empirical case studies to help illustrate the theoretical results. First, we show that a complicated treatment regimen (antiretroviral therapy for HIV) benefited well-educated patients disproportionately. In contrast, simplifying drugs for hypertension coincided with a contraction in cardiovascular disparities not seen in other diseases. Finally, nationally representative data suggest that there are wider disparities by education among the chronically ill populations—precisely the population one would expect to be the heaviest health care users.

[1]  Philip M. Hauser,et al.  Differential Mortality in the United States: A Study in Socioeconomic Epidemiology. , 1974 .

[2]  T. Waidmann,et al.  Race, socioeconomic status, and health: accounting for race differences in health. , 1997, The journals of gerontology. Series B, Psychological sciences and social sciences.

[3]  A. Stewart,et al.  Preventable hospitalizations and access to health care. , 1995, JAMA.

[4]  S. L. Murphy Deaths: final data for 1998. , 2000, National vital statistics reports : from the Centers for Disease Control and Prevention, National Center for Health Statistics, National Vital Statistics System.

[5]  S. Preston,et al.  Socioeconomic differences in adult mortality and health status. , 1994 .

[6]  J. Muurinen,et al.  Demand for health: a generalised Grossman model. , 1982, Journal of health economics.

[7]  D. McCaffrey,et al.  National probability samples in studies of low-prevalence diseases. Part II: Designing and implementing the HIV cost and services utilization study sample. , 1999, Health services research.

[8]  Detection The sixth report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure (JNC VI) , 1997 .

[9]  P Whelton,et al.  Trends in the prevalence, awareness, treatment, and control of hypertension in the adult US population. Data from the health examination surveys, 1960 to 1991. , 1995, Hypertension.

[10]  Casey B. Mulligan,et al.  The Endogenous Determination of Time Preference , 1997 .

[11]  A. Lleras-Muney The Relationship Between Education and Adult Mortality in the U. S , 2001 .

[12]  Joseph P. Newhouse,et al.  Are Medical Prices Declining? Evidence from Heart Attack Treatments , 1998 .

[13]  Selma J. Mushkin,et al.  Health as an Investment , 1962, Journal of Political Economy.

[14]  R. Weinshilboum,et al.  The sixth report of the Joint National Committee on prevention, detection, evaluation, and treatment of high blood pressure. , 1997, Archives of internal medicine.

[15]  Victor R. Fuchs,et al.  Economic Aspects of Health , 1983 .

[16]  A. Lleras-Muney,et al.  Health Inequality, Education and Medical Innovation , 2003 .

[17]  D Acheson,et al.  Independent inquiry into inequalities in health , 2005 .

[18]  James P. Smith,et al.  Healthy bodies and thick wallets: the dual relation between health and economic status. , 1999, The journal of economic perspectives : a journal of the American Economic Association.

[19]  C. Ai,et al.  Interaction terms in logit and probit models , 2003 .

[20]  A. Case,et al.  Broken Down by Work and Sex: How Our Health Declines , 2003 .

[21]  M. Berger,et al.  Schooling, Self-Selection, and Health , 1989 .

[22]  D. Kenkel,et al.  Health Behavior, Health Knowledge, and Schooling , 1991, Journal of Political Economy.

[23]  Finis Welch,et al.  Education in Production , 1970, Journal of Political Economy.

[24]  J. Currie,et al.  Socioeconomic Status and Child Health: Why Is the Relationship Stronger for Older Children? , 2003, The American economic review.

[25]  J. Bhattacharya,et al.  Does Medicare benefit the poor , 2006 .

[26]  S. Preston,et al.  Demography of Aging , 1994 .

[27]  M. Grossman On the Concept of Health Capital and the Demand for Health , 1972, Journal of Political Economy.

[28]  M. Marmot Multilevel approaches to understanding social determinants , 2000 .

[29]  J. Feldman,et al.  National trends in educational differentials in mortality. , 1989, American journal of epidemiology.

[30]  W. Hadden,et al.  The increasing disparity in mortality between socioeconomic groups in the United States, 1960 and 1986. , 1993, The New England journal of medicine.

[31]  S. Majumdar Beta-blockers for the Treatment of Hypertension in Patients with Diabetes: Exploring the Contraindication Myth , 1999, Cardiovascular Drugs and Therapy.

[32]  D. Andrulis,et al.  Access to Care Is the Centerpiece in the Elimination of Socioeconomic Disparities in Health , 1998, Annals of Internal Medicine.

[33]  L. Moulton,et al.  HIV viral load and CD4+ lymphocyte counts in subjects coinfected with HTLV-I and HIV-1. , 1997, Journal of acquired immune deficiency syndromes and human retrovirology : official publication of the International Retrovirology Association.

[34]  James P. Smith,et al.  Can patient self-management help explain the SES health gradient? , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[35]  Effects of treatment on morbidity in hypertension. II. Results in patients with diastolic blood pressure averaging 90 through 114 mm Hg. , 1970, JAMA.

[36]  Robert S. Huckman,et al.  Technological Development and Medical Productivity: The Diffusion of Angioplasty in New York State , 2002, Journal of health economics.

[37]  Daniel W. Jones,et al.  The Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure: the JNC 7 report. , 2003, JAMA.