HCPLive | The American Journal of Managed Care | Pharmacy Times | OTCGuide.net | Politics | ONCLive | Medgadget | EchoJournal
KevinMD | Medical Smartphones | Medicine and Technology | Mobile Health Computing | Non-Clinical Medical Jobs, Careers, and Opportunities

Search Filter:
 
 
 
 
                               
10: SP045-SP05     September 2004    Number 1 SP
 
Distributive Justice in American Healthcare: Institutions, Power, and the Equitable Care of Patients
Robert W. Putsch, MD; and Linda Pololi, MD
Published Online: August 31, 2004 - 11:00:00 PM (CDT)
 

The authors argue that the American healthcare system has developed in a fashion that permits and may support ongoing, widespread inequities based on poverty, race, gender, and ethnicity. Institutional structures also contribute to this problem. Analysis is based on (1) discussions of a group of experts convened by the Office of Minority Health, US Department of Health and Human Services at a conference to address healthcare disparities; and (2) review of documentation and scientific literature focused on health, health-related news, language, healthcare financing, and the law. Institutional factors contributing to inequity include the cost and financing of American healthcare, healthcare insurance principles such as mutual aid versus actuarial fairness, and institutional power. Additional causes for inequity are bias in decision making by healthcare practitioners, clinical training environments linked to abuse of patients and coworkers, healthcare provider ethnicity, and politics. Recommendations include establishment of core attributes of trust, relationship and advocacy in health systems; universal healthcare; and insurance systems based on mutual aid. In addition, monitoring of equity in health services and the development of a set of ethical principles to guide systems change and rule setting would provide a foundation for distributive justice in healthcare. Additionally, training centers should model the behaviors they seek to foster and be accountable to the communities they serve.

(Am J Manag Care. 2004;10:SP45-SP53)

Take my state, Colorado. Almost every hospital has an ethics committee, but no one asks ethical questions about the entire system. Over 50% of our hospital beds are empty, we have 21 hospitals doing open-heart surgery, and 3 doing transplants (3 times what is needed). We have (for 3.5 million people) more MRI machines than Canada, and far too many specialists. This, in a state in which 450 000 citizens are uninsured and another 400 000 underinsured. We have large excess capacity in neonatology, yet 21% of our women give birth without adequate prenatal care. Excess capacity sits cheek by jowl with great need.
Richard Lamm, 19941

In February 2000, the Office of Minority Health (OMH) of the US Department of Health and Human Services convened a meeting entitled "Conference on Diversity and Communication in Health Care: Addressing Race/Ethnicity, Language, and Social Class in Health Care Disparities." The Office of Minority Health was responding, in part, to public and professional reactions to a paper by Schulman et al.2,3 Schulman et al reported evidence of race and gender bias on the part of participants in a study of decision making by physicians trained in internal medicine and family practice. This article builds on the discussion of a group of experts convened at the conference to explore institutional aspects of the problem.

If provider bias plays a role in healthcare disparities, do healthcare systems independently contribute to inequities in care, and if so, how? By analyzing the performance and organization of selected parts of the healthcare system, we hope to address these questions. This paper's premise is that the institutional structures supporting the American healthcare system have developed in a fashion that permits, and may in fact support, ongoing, widespread inequities based on poverty, race, gender, and ethnicity.

Inequities in Healthcare

Race prejudice is a shadow over all of us, and the shadow is darkest over those who feel it least….
Pearl Buck, 19414

Since the OMH meeting on disparities, racial and ethnic inequities in US healthcare have been documented, notably by William Byrd and Linda Clayton, who published a 2-volume medical history of African Americans in the United States5; the Institute of Medicine, which published a major report titled Unequal Treatment6; and the Urban Indian Health Institute, which reported on health disparities.7 These works complement earlier important studies: a 2-volume report by The US Commission on Civil Rights,8 the Morehouse Medical Treatment and Effectiveness Center's summary of 180 reports published between 1985 and 1999,9 and David Barton Smith's Healthcare Divided.10

Kahn et al, looking at the frequency of services provided to Medicare patients (eg, X-rays, common diagnostic tests, referrals, and intensive-care-unit stays), documented the lower allocation of diagnostic and therapeutic resources to the poor and to African Americans.11 The work reaffirmed findings of earlier authors.12 Healthcare delivery disparities are documented for diverse conditions, including asthma,13-15 infant mortality,16-18 infectious diseases,19 depression,20 and long-term care.10,21 There are reported differences in total hip and knee replacement,22 renal transplantation,23-25 and bone marrow transplantation.26 African Americans receive lower levels of high-technology testing during cardiac care27-30 and subsequently undergo fewer cardiac bypass or other revascularization procedures.31-33

A review of these papers reveals a variety of hypotheses for the disparities they document: from poverty, lack of access, provider bias, biological differences such as HLA typing, donor availability, and community needs, to patient preferences, unspecified cultural differences, lack of trust, levels of education, and so on. With limited exceptions suggesting provider bias on the one hand,33 and patient preferences on the other,34 the methodologies used in these studies do not allow the authors to explore provider-patient relations in a fashion that would provide clear answers. If racism is involved, it is unlikely to be overt or even conscious.35

Researchers have controlled for sex, age, severity of disease, insurance status, access issues, poverty, and comorbidities. Studies done by the Veterans Administration30,36 and in Canada37 have been sited in an attempt to minimize the effects of differential access and insurance. Most striking is the consistency with which disparities related to race, access, and poverty have been documented. Care is needed in future research,38-42 and studies must better account for "the social, economic, and political forces that constrain the lives of those studied."38

Although the patient's voice generally is missing from work done to date, there are exceptions. Recent studies suggest African American patients were more likely to refuse cardiac surgery,36 carotid angiography and carotid endarterectomy,43 and knee replacement.34 These findings suggest that future research needs to include both provider and patient views and to incorporate a broader range of related issues. Lack of trust and perceived racism may be among the issues playing a role in healthcare inequities.44

Institutional Factors Contributing to Healthcare Inequities

The most basic and irrefutable lesson of the story of healthcare's civil rights struggle is that the problem is much more institutional than individual.
D. B. Smith, 200010

Financing and power are core sources of exclusionary institutional practices in healthcare. This section will deal with 4 selected aspects of exclusionary healthcare practices: comparative costs, health insurance, financing/risk reduction, and the relationship between power and rule setting.

THE COST OF AMERICAN HEALTHCARE. WHAT'S THE RETURN? WHO'S PAYING?

Canadians, Australians and Western Europeans spend about half what we do on healthcare, enjoy universal coverage, and are healthier.
S. Woolhandler and D. Himmelstein, 200245

Per capita, the United States has the most expensive healthcare system in the world. In 2000, the US spent $4631 per capita or 13% of its gross domestic product (GDP) on health. Physicians in the United States are paid higher wages than their counterparts internationally, and the average hospital cost of $1128 per day ranks highest (by wide margins) among the 29 member nations of the Organization for Economic Cooperation and Development (OECD). Denmark is second at $632 per day, and Canada ranks third at $489.46 Researchers estimate that "Americans paid 40 percent more per capita than Germans did but received 15% fewer real healthcare resources."47 Estimates place health expenditures at 15.5% of America's GDP in 2004 and 18.4% in 2013.48 In addition, "much of the energy and capital spent in the development of new healthcare products and services have been targeted at the high end—at sustaining technologies that enable the most skilled practitioners to solve problems that could not be solved before."49

Comparative international rankings place the United States in the lower one half of health outcomes measures. For example, the high US infant mortality rate is 6th from the bottom of the 29 OECD countries with only Turkey, Mexico, Poland, Hungary, and Korea having higher infant mortality rates in 1996.50 The United States had the highest diabetes mortality,51 and ranked 12th (second from the bottom) of 13 countries for 16 available health indicators.52 More than 43 million Americans lack health coverage; and of the 29 OECD countries, only the United States, Mexico, and Turkey lack universal health coverage.50

For years, Americans have equated healthcare coverage with employee benefits. Estimates of health insurance coverage have not distinguished between coverage provided by federal and state agencies and that provided by the private sector. Broad references to "private" coverage thus masked a large portion of publicly funded healthcare. Current estimates of healthcare financing are that tax dollars support 59.8% of American healthcare. This figure includes persons who rely on tax-funded government insurance such as Medicare, Medicaid, former or current military coverage, Indian Health Service, and tax-funded coverage for government employees such as FBI workers.45 In a second recent study, private-sector workers whose employers arranged their insurance accounted for only 43% of the total.53

HEALTHCARE INSURANCE AND POLITICS

There are some questions that historians return to so often that they become classics in the field. . . . No inquiry better qualifies for this designation than the question of why the United States has never enacted a national health insurance program.
D. J. Rothman, 199354

The primary source of rationing and inequities in American healthcare is the political system. To date, Congress has resisted enactment of universal healthcare coverage and has instead relied on a patchwork of "safety nets," many of which are imperiled. Since being established in 1967, Community and Migrant Health Centers have served as a primary care safety net for medically vulnerable populations.55 A more recent safety net program is the State Children's Health Insurance Program (SCHIP) established by the 1997 Balanced Budget Act. Cited for successful enrollment of previously uninsured minority children,56 studies of SCHIP document the need to "initiate programmatic efforts to ensure that the disparities children experience before enrollment are not perpetuated."57

Writing in 1996, Krieger commented that "Congress is awash with legislation intended to cut back, if not end, many programs that have improved public health and reduced social disparities in health, such as Aid to Families and Dependent Children (AFDC), Head Start, Medicaid and Medicare, unemployment benefits, regulatory powers of the Environmental Protection Agency and the Occupational Safety and Health Administration. Much of the rhetoric around these political changes is couched in racially coded language that suggests the working poor and unemployed are solely responsible for their plight."58 True to Krieger's observations, new economic downturns and state budgetary changes have led to threats to both Medicaid and SCHIP coverage for children.59,60

A 1999 study showed that "the proportion of Americans without insurance increased from 14.2% in 1995 . . . to 16.1% in 1997 [when] 43.4 million (16.1%) were uninsured."61 In addition, "71.5 million [26.6%] lacked insurance for at least part of the year . . . 24% of those with incomes less than $25 000 had no coverage [and] despite Medicaid 11.2 million persons with incomes below the poverty line or 31.6% of the poor had no health insurance in 1997. Today the vast majority of uninsured persons are employed."61 In 10 jurisdictions, more than 33% of children went without insurance for some period "between 1995 through 1996, led by Texas (46%), New Mexico and Louisiana (43%), Arkansas (42%) and Mississippi (41%)."61 More than one third of the population, or 84.8 million, were uninsured for at least 1 month between 1996 and 1999.62

"Medical care has always been rationed, primarily through ability to pay and by doctors working within fixed budgets."63 One hope and promise of managed care was that if insurers exercised the necessary controls on medical expenditures for the insured, funds would be freed up to insure more of the uninsured; unfortunately, this hope was not realized.64 In managed care, rules and incentives for physicians often limit patients' choice without these restrictions being apparent.65

HEALTHCARE FINANCING: MUTUAL AID VERSUS ACTUARIAL FAIRNESS

In the current system, the most profitable plans are those that avoid caring for sick patients. Those that care for many sick patients and do a good job are penalized. Managed care plans are adept at . . . enrolling a disproportionate number of healthy persons and . . . reducing the contingent of sick patients.
J. Kassirer and M. Angell, 199966

The concepts of mutual aid and actuarial fairness have shaped the development of health insurance. Distributive justice in mutual aid assumes shared responsibility for risk across a broad community of participants. The logic of mutual aid supports governmental social insurance programs as well as insurance programs offered to large collectives of employees in which the insurer agrees to cover a community of workers. Historically, between 1934 and 1945 the Blue Cross plans used community ratings and "charged the same premiums to all employee groups in a geographic area or industry, thus pooling the risks of illness broadly in a region."67

Actuarial fairness now dominates private health insurance systems in the United States. Broadly shared or communal risk has been shifted to the public sector. "The entry of commercial insurers into the healthcare business in the 1960's and 1970's produced a shift away from community rating [mutual aid or assistance]"68 and toward pricing based on actuarial or experience-based rating in which insurance companies work to lower costs (termed losses) by selectively insuring lower-risk populations.

Consider a 1989 health insurance ad picturing a young man and woman playing basketball one-on-one. The caption ran: "Why should men and women pay different rates for their health and life insurance?" Following a brief explanation of actuarial fairness, the ad continues: "That's why insurers have to group people with similar risks when they calculate premiums. If they didn't, people with low risks would end up subsidizing people with high risks. And that wouldn't be fair [emphasis added]."67

Advertisement campaigns such as that one are designed to persuade Americans that they should not be responsible for the poor and the unfortunate54 and to "feel morally comfortable about refusing to help others."67 The ads reflect the power and interests of the health insurance industry. Among the stakeholders in the system's evolution are the unions, which at one time "preferred to obtain healthcare benefits . . . through contract negotiation . . . even if that meant that nonunion members would go without benefits."54 The divisive nature of the system that has evolved is clear. For example, on February 17, 1993, a state insurance commissioner argued for the use of HIV testing as a prerequisite to health insurance before the Advisory Panel to the Office of Technology Assessment: "We encourage insurers to test where appropriate because we don't want insurance companies to issue policies to people who are sick, likely to be sick or die."67 The ethical principles of community-based mutual assistance and shared risk are anathema to a powerful, bottom-line–oriented healthcare insurance industry.

INSTITUTIONAL POWER AND RULE SETTING

Should the child of a poor American family have the same chance of avoiding preventable illness or being cured from a given illness as does the child of a rich American family?
U. E. Reinhardt, 199769

Cross helps us define the relationship between power and oppression.70 He makes a clear distinction: crossing the line from class-based or ethnically based bias, prejudice, and ethnocentrism to institutional oppression or racism requires the presence of power. Cross's work provides a useful reminder about potential risks and outcomes of the day-to-day work of rule setting in institutional process. Examined in this light, the rule-setting underpinnings of insurance systems appear to be based on fundamentally exclusionary principles: "The underwriting criteria that insurers have found so necessary to preserve their fiscal soundness and actuarial fairness dovetail precisely with those identities that have formed our major social cleavages: race, ethnicity, class, and more recently sexual orientation and disability."67

Relationships between HMOs, ethnic bias, clinic and hospital relocations, and minority physicians are discussed at length in the September 1999 report of the US Commission on Civil Rights.8(vol I) Facility relocation to the suburbs is an example of institutional choice. This strategy can place health plans in a position where they can avoid dealing with the poor as well as with providers that traditionally have served minority populations.71 These strategies are often supported by the rhetoric of sound business practice and marketing. Evidence for exclusionary practices led to an editorial conclusion in The New England Journal of Medicine that "managed competition and capitated payment systems may increase discriminatory [outcomes]."35

Bias in Decision Making by Healthcare Practitioners

We may recognize that the judgments we make are based on a person's race, sexual preference, age, disability, or other characteristic, but we do not acknowledge the invalidity of these prejudgements. We treat our biases as truth.
Calman, 200072

Bias in clinical decision making is well described.2,73-75 Gentilello et al described nurses and physicians in trauma centers making biased clinical decisions based on sex, age, income, appearance, and insurance status: "Patients suspected of alcohol intoxication [who, in fact, had negative blood tests] . . . were either young, male, perceived as disheveled, uninsured or had low income."76 Additionally, ethnic bias has played a role in case presentations by residents and interns at academic training centers.77,78

The work of Todd et al73-75 documenting biased decision making parallels similar findings of undermedication of minority patients who have cancer79 or depression80 and most recently, of evidence that pharmacies in minority neighborhoods do not stock medications necessary to treat patients with cancer-related pain.81 Although Schulman's work2 attracted national attention, being reported on "Nightline" and in multiple newspapers,3 little or no media attention has been paid to evidence of disparities in nursing home care,10,21 infant mortality,82-84 and avoidable hospitalizations,85 as well as a long list of other important disparities in healthcare. Documented disparities in physician recommendations for cardiac surgery in 1999 left the causes for disparate decision making unexplained. One study that examined whether physician recommendations (1997-1999) for cardiac revascularization varied according to patient race found that African Americans were less likely to be recommended for revascularization in a public hospital.86

Clinical Training Environments Linked to Bias and Abuse of Patients and Coworkers

I was annoyed beyond my capacity to remain civil. I was waiting at 6:30 PM for the on-call intern to show up and relieve me and I had plans for the evening . . . when he finally arrived he wanted the most excruciatingly detailed sign-out conceivable. Finally, I nearly shouted at him, "Look you're just here for the night! I'm not telling you anything more about these patients' 'social problems.'"
Resident in training, quoted by
D. A. Christakis and C. Feudtner, 199787

Silver first suggested that students might be abused during training in 1982.88 The 1984 report by Silver and Rosenberg included a survey of medical school deans, who almost uniformly denied that a problem existed and attributed the problem to "stress:"89 "There has never been any evidence of abuse [at our school] . . . you have my sympathy if the situation at Colorado is otherwise."89 Since 1984, more than 30 articles about student mistreatment and abuse have been published. By the mid-1990s, the articles began to deal with solutions.90-93 The report by Kassebaum and Cutler94 for the Association of American Medical Colleges (AAMC) Liaison Committee on Medical Education was a long step away from the initial denial reported by Silver. Evidence that the abuse is passed on to patients has been documented. A Canadian study found that "a significant relation was shown between male students who reported experiencing abuse during medical training and mistreating patients."95

The report for the AAMC documented that Native American/Alaska Native and African American women have the highest reported incidences of public belittlement and humiliation and that African American women report the highest incidence of perceived racial harassment.94 These findings provide a clear underpinning for earlier reports about medical students' experience of racist attitudes, remarks, and behaviors during training,96,97 as well as a medical school faculty member who describes experiencing racial and gender prejudice in faculty interactions.98

Of 164 nurses participating in a California study, 64% reported experiencing some form of verbal abuse by physicians at least once every 2 or 3 months. Thirty percent of female nurses in the study reported sexual harassment by physicians at least once every 2 to 3 months (sexual propositions [20%], sexual insults [16%], or suggestive touching [13%]).99 Similar findings are reported in healthcare training institutions.100 These studies illustrate the dysfunctional use of power at the level of institutional, professional, and cross-gender relationships.

Examining the slang used by the subculture of medicine, George and Dundes published "The Gomer" in 1978.101 The title arose from their observation that student and house officer teams in a Veterans hospital had developed a "gomer" score sheet (gomer is an acronym for get out of my emergency room). Coombs et al later concluded: "medical slang eases the way for young men and women who are trying to meet the demanding expectations of a formal training system designed to change them from laymen to physicians . . . slang is shared by a beleaguered circle of insiders who are confronted daily with overwhelming evidence of their own limitations and inadequacies."102 Slang expressions about patients who have low social status, few economic resources, or low intelligence, or who are otherwise viewed as undesirable offer an insight into the functions of power and stress as well as the links between biased, elitist, and racist attitudes. The common theme is disrespect for individuals.

Is some bias acquired during training? Does exposure to healthcare process magnify preexisting forms of bias and prejudice? The answer to these questions may be emerging. Referencing earlier "studies103 [that] have documented race- and sex-based differences, including race-discordant perceptions of patients," Rathore et al have produced evidence suggesting that bias is present in the earliest years of clinical training.104 They studied the response of first- and second-year medical students to videos in which professional actors played out the role of an African American woman and a white man with symptoms of angina. The students rated the quality of life of these patients quite differently, although the differences were less when white female students did the analysis.104 Programs in medical education have begun to address these issues,105-109 even framing a patient-centered approach in the context of cultural humility as opposed to cultural competence.110

Provider Ethnicity, the Safety Net, and the Imperiled Preparation Pipeline

In 1970 . . . the AAMC designated blacks, Mexican Americans, Mainland Puerto Ricans and American Indians as underrepresented in medicine . . . regrettably this problem persists.
H. W. Nickens, T. P. Ready, and
R. G. Petersdorf, 1994111

Access for vulnerable populations is problematic and has been positively impacted by the presence of minority practitioners.112,113 Minority and women physicians are much more likely to serve poor, minority, or Medicaid patients. At the same time, "communities with high proportions of black and Hispanic residents were 4 times as likely as others to have a shortage of physicians, regardless of community income."114 Minority physicians are most likely to practice in communities with high proportions of minority patients: "Black physicians practice in areas where the percentage of black residents was nearly 5 times as high, on average, as in areas where other physicians practiced."114

In the late 1960s, AAMC initiated a successful effort to increase the participation of minorities and women in healthcare. In 1964 "93% of medical students were men and 97% were non-Hispanic whites. [By 1994] 40% were women and 31% belonged to racial or minority ethnic groups."111 However, this effort plateaued in the 1980s. In 1993, the Council of Graduate Medical Education, authorized by Congress in 1986 to provide ongoing assessments of the physician supply, supported AAMC by recommending that the "number of entering minority medical students should be doubled from 1500 to 3000 by the year 2000."115 The council's perspective on the mission of medical schools and residency training institutions focused on "graduating generalists and minorities and the number who choose to practice in underserved communities."115

The focus and direction of efforts to produce more minority practitioners now are threatened by dismantling affirmative action. Early anti–affirmative-action efforts were undertaken in California, Texas, Louisiana, and Mississippi. In 1998, Carlisle et al estimated that the United States needs "roughly twice as many Hispanic and African American and 3 times as many Native American physicians as it now has."116 Nonetheless, affirmative action has been under assault, as exemplified by actions in Florida117 and Washington State.118 Many believe that dismantling affirmative action will result in serious problems with access to care over the ensuing years.119-121 In the face of the Supreme Court upholding affirmative action in the University of Michigan's admissions policies,122 there is concern about the lack of subsequent federal action.123

Minority physicians' lack of access to participation as health plan providers impedes the delivery of care to minority communities. In 1995, an extensive note in the Harvard Law Review predicted that "if a relatively unregulated change [in HMO development] occurs, many minority physicians and physicians who serve the poor and minority communities may be squeezed out."124 Listing economic credentialing and practice profiling among the tactics that allow plans to limit "risk," the note in the Harvard Law Review pointed to "the perverse incentives of many HMOs to exclude providers with less healthy patients."124 In 2000, members of the National Medical Association charged that managed care plans systematically excluded black physicians from physician panels nationwide.125 These unsubstantiated charges warrant further inquiry.

Data, Research, and Monitoring Equity in Health Services

We have the language to name and methods to measure how inequality and social justice affect health . . . to generate knowledge that public health and medical practitioners, policy makers, activists, and others need to guide fruitful action to improve the public's health.
N. Krieger, 199658

Smith pointed out that "eliminating the collection of data by race would, for all practical purposes, negate all affirmative action programs, the Civil Rights Act, the Voting Rights Act, the Fair Housing Act, and other related legislation."10 In Madison v. Shalala (1996),126 healthcare advocacy groups argued that "HHS regulations require that HHS collect patient- and provider-specific data from recipients as part of its title VI enforcement efforts. At issue was the Healthcare Financing Administration (HCFA) billing form, HCFA-1450, used to collect information on each transaction between a Medicare or Medicaid patient and a healthcare provider."8(vol II) Form HCFA-1450 lacked race or ethnicity data.

The National Hospital Discharge Survey has found that hospitals in their sample not reporting race were overwhelmingly white.10 Similar problems exist in the collection of data regarding language needs of patients with limited English proficiency (LEP). In 1996, only 1 of 8 healthcare institutions surveyed in the Seattle area had a centralized system to flag language needs.127 Lack of data figured prominently in a major report on linguistic access to healthcare by the National Health Law Program. This program recommended improved data collection "on the language and health needs of LEP patients" as well as changes in Health Employer Data and Information Set 3.0 data regarding language accessibility. The report includes "Nine Principles of Contracting with [Managed Care Organizations],"128 which help state and local agencies review arrangements with insurers who have underwritten healthcare of LEP populations.

What becomes clear in a review of the extraordinarily extensive documentation of disparities in healthcare is that much of the material has been biomedically focused. In contrast, the work of Lurie et al illustrates the use of traditional health services research methods to study the serious impact of changes in public policy, political, and economic decision making on health o

Author Information

From the University of Washington School of Medicine and the Cross Cultural Health Care Program, Seattle, Wash (RWP); and the Women's Studies Research Center, Brandeis University, Waltham, Mass (LP).

Prepared for the Conference on Diversity and Communication in Health Care: Addressing Race/Ethnicity, Language, and Social Class in Health Care Disparities; Washington DC; February 17-18, 2000. This study was sponsored by the Office of Minority Health, US Department of Health and Human Services.

Address correspondence to: Robert W. Putsch, MD, Cross Cultural Health Care Program, 270 South Hanford St, Suite 100, Seattle, WA 98134. E-mail: bobp@xculture.org.




References

1. Lamm RD. The ethics of excess. Hastings Center Rep. 1994;24:14.

2. Schulman KA, Berlin JA, Harless W, et al. The effect of race and sex on physicians' recommendations for cardiac catheterization. N Engl J Med. 1999;340:618-626.

3. Schwartz LM, Woloshin S, Welch HG. Misunderstandings about the effects of race and sex on physicians' referrals for cardiac catheterization. N Engl J Med. 1999;341:279-283.

4. Pearl Buck, 1941. Quoted in Calman NS. Out of the shadows: a white inner-city doctor wrestles with racial prejudice. Health Aff. 2000;19(1):170-174.

5. Byrd WM, Clayton LA. A Medical History of African Americans and the Problem of Race, Beginnings to 1900 and Race, Medicine and Health Care in the United States, 1900-2000. New York: Routledge; 2000. An American Health Dilemma; vols I and II.

6. Smedley BD, Stith AY, Nelson AR, eds. Unequal Treatment: Confronting Racial and Ethnic Disparities in Health Care. Committee on Understanding and Eliminating Racial and Ethnic Disparities in Health Care, Board on Health Sciences Policy, Institute of Medicine. Washington, DC: National Academies Press; 2002.

7. Urban Indian Health Institute. The Health Status of Urban American Indians and Alaska Natives: A Population-Based Study. Seattle, Wash: Urban Indian Health Institute; April 2004.

8. United States Commission on Civil Rights. The Role of Governmental and Private Health Care Programs and Initiatives and The Role of Federal Civil Rights Enforcement Efforts. Washington, DC: US Government Printing Office; September 1999. The Health Care Challenge: Acknowledging Disparity, Confronting Discrimination, and Ensuring Equality; vols I and II.

9. Mayberry RM, Mili F, Vaid IGM, et al. Racial and Ethnic Differences in Access to Medical Care. A Synthesis of the Literature. Morehouse Medical Treatment and Effectiveness Center (MMEDTEC). Menlo Park, Calif: The Henry J Kaiser Foundation; October 1999.

10. Smith DB. Health Care Divided: Race and Healing a Nation. Ann Arbor, Mich: The University of Michigan Press, 1999.

11. Kahn KL, Pearson ML, Harrison ER, et al. Health care for black and poor hospitalized Medicare patients. JAMA. 1994;271:1169-1174.

12. Yergan J, Flood AB, LoGerfo JP, Diehr P. Relationship between patient race and intensity of hospital services. Med Care. 1987;25:592-603.

13. Zoratti EM, Havsted S, Rodriguez J, et al. Health service use by African Americans and Caucasians with asthma in a managed care setting. Am J Respir Crit Care Med. 1998;158:371-377.

14. Krishnan JA, Diette GB, Skinner EA, Clark BD, Steinwachs D, Wu AW. Race and sex differences in consistency of care with national asthma guidelines in managed care organizations. Arch Intern Med. 2001;161:1660-1668.

15. Lieu TA, Lozano P, Finkelstein JA, et al. Racial/ethnic variation in asthma status and management practices among children in managed Medicaid. Pediatrics. 2002;109:857-865.

16. Iyasu S, Tomashek K. Infant mortality and low birth weight among black and white infants—United States, 1980-2000. MMWR. 2002;51:589-592.

17. Bertrand D. Black-white infant mortality disparity persists. J Natl Med Assoc. 2002;94:422-423.

18. Smyser M, Forquera RA. The Health Status of American Indians and Alaska Natives Living in King County. Seattle/King County Department of Public Health. Seattle, Wash: Seattle Indian Health Board; 2001.

19. Sumaya CV. Major infectious diseases causing excess morbidity in the Hispanic population. Arch Intern Med. 1991;151:1513-1520.

20. Brown DR, Ahmed F, Gary LE, et al. Major depression in a community sample of African Americans. Am J Psychiatry. 1995;152:373-378.

21. Falcone D, Broyles R. Access to long term care: race as a barrier. J Health Polit Policy Law. 1994;19:583-595.

22. Wilson MG, May DS, Kelly JJ. Racial differences in the use of total knee arthroplasty for osteoarthritis among older Americans. Ethn Dis. 1994;4:57-67.

23. Kjellstrand C. Age, sex and race inequality in renal transplantation. Arch Intern Med. 1988;148:1305-1309.

24. Soucie JM, Neylan JF, McClellan W. Race and sex differences in the identification of candidates for renal transplantation. Am J Kidney Dis. 1992;19:414-419.

25. Gaston RS, Ayres I, Dooley LG, Diethelm AG. Racial equity in renal transplantation. The disparate impact of HLA-based allocation. JAMA. 1993;270:1352-1356.

26. Mitchell JM, Meehan K, Kong J, Schulman KA. Access to bone marrow transplantation for leukemia and lymphoma: the role of sociodemographic factors. J Clin Oncol. 1997;15:2644-2651.

27. Wennecker MB, Epstein AM. Racial inequities in the use of procedures for patients with ischemic heart disease in Massachusetts. JAMA. 1989;261:253-257.

28. Hannan EL, Kilburn J, O'Donnell JF, Lukack G, Shields EP. Interracial access to selected cardiac procedures for patients hospitalized with coronary artery disease in New York State. Med Care. 1991;29:430-441.

29. Giles WH, Anda RF, Casper MI, Escobedo LG, Taylor HA. Race and sex differences in rates of invasive cardiac procedures in US hospitals: data from the National Hospital Discharge Survey. Arch Intern Med. 1995;155:318-324.

30. Peterson ED, Wright SM, Daley J, Thibault GE. Racial variation in cardiac procedure use and survival following acute myocardial infarction in the Department of Veterans Affairs. JAMA. 1994;271:1175-1180.

31. Goldberg KC, Hartz AJ, Jacobsen SJ, Krakauer H, Rimm AA. Racial and community factors influencing coronary bypass graft surgery rates for all 1986 Medicare patients. JAMA. 1992;267:1473-1477.

32. Peterson ED, Shaw LK, DeLong ER, et al. Racial variation in the use of coronary-revascularization procedures. Are the differences real? Do they matter? N Engl J Med. 1997;336:480-486.

33. Hannan EL, von Ryn M, Burke J, et al. Access to coronary artery bypass surgery by race/ethnicity and gender among patients who are appropriate for surgery. Med Care. 1999;37:68-77.

34. Ibrahim SA, Siminoff LA, Burant CJ, Kwoh CK. Differences in expectations of outcome mediate African American/white patient differences in "willingness" to consider joint replacement. Arthritis Rheum. 2002;46:2429-2435.

35. Geiger HJ. Race and health care–an American dilemma [editorial]. N Engl J Med. 1996;335:815-816.

36. Sedlis SP, Fisher VJ, Tice D, Esposito R, Madmon L, Steinberg EH. Racial differences in the performance of invasive cardiac procedures in a Department of Veterans Affairs medical center. J Clin Epidemiol. 1997;50:899-901.

37. Woloshin S, Schwartz LM, Katz SJ, Welch HG. Is language a barrier to the use of preventive services? J Gen Intern Med. 1997;12:472-477.

38. Williams DR. The concept of race in health services research: 1966 to 1990. Health Serv Res. 1994;29:261-274.

39. LaVeist TA. Beyond dummy variables and sample selection: what health services researchers ought to know about race as a variable. Health Serv Res. 1994;29:1-16.

40. Senior PA, Bhopal R. Ethnicity as a variable in epidemiological research. BMJ. 1994;309:327-330.

41. Nickens HW. The role of race/ethnicity and social class in minority health status. Health Serv Res. 1995;30:151-162.

42. Schulman KA, Rubenstein E, Chesley FD, Eisenberg J. The roles of race and socioeconomic factors in health care services research. Health Serv Res. 1995;30:179-195.

43. Oddone EZ, Horner RD, Monger ME, Matchar DB. Racial variations in the rates of carotid angiography and endarterectomy in patients with stroke and transient ischemic attack. Arch Intern Med. 1993;153:2781-2786.

44. Hobson WD. Racial Discrimination in Health Care Interview Project. A Special Report. Prepared by the Cross Cultural Health Care Program under a contract from the Seattle/King County Department of Public Health. January 2001. Available at: http://www.metrokc.gov/health/reports/discriminationinterviews.pdf. Accessed December 20, 2003.

45. Woolhandler S, Himmelstein D. Paying for national health insurance—and not getting it. Health Aff (Millwood). 2002;21(4):88-98.

46. Anderson GF, Reinhardt UE, Hussey PS, Petrosyan V. It's the prices, stupid: why the United States is so different from other countries. Health Aff (Millwood). 2003;22(3):89-105.

47. McKinsey Global Institute, Health Care Productivity, Los Angeles, Calif: McKinsey and Co: 1996. Cited in: Anderson GF, Reinhardt UE, Hussey PS, Petrosyan V. It's the prices, stupid: why the United States is so different from other countries. Health Aff. 2003;22(3):89-105.

48. Heffler S, Smith S, Keehan S, Clemens MK, Zezza M, Truffer M. Health spending projections through 2013 [Web exclusive]. Health Aff. 2004;W4-79-93. Available at: http://content.healthaffairs.org/cgi/content/full/hlthaff.w4.79v1/DC1. Accessed August 10, 2004.

49. Christensen CM, Bohmer R, Knagy J. Will disruptive innovations cure health care? Harvard Business Review. September-October, 2000:103-111.

50. Anderson GF, Poullier JP. Health spending, access, and outcomes: trends in industrialized countries. Health Aff (Millwood). 1999;18(3):178-192.

51. Anderson GF, Petrosyan V, Hussey PS. Multinational Comparison of Health Systems, 2002. Commonwealth Foundation Chartbook #582: The Commonwealth Foundation; October 1, 2002. Available at: http://www.cmwf.org/programs/pub_highlight.asp?id=877&pubid=582&CategoryID=5. Accessed August 3, 2004.

52. Starfield B. Is US health really the best in the world? JAMA. 2000;284:483-485.

53. Carrasquillo O, Himmelstein DU, Woolhandler S, Bor DH. A reappraisal of private employers' role in providing health insurance. N Engl J Med. 1999;340:109-114.

54. Rothman DJ. A century of failure: health care reform in the America. J Health Polit Policy Law. 1993;18:271-286.

55. Shi L, Starfield B, Xu J, Politzer R. Primary care quality: community health center and health maintenance organization. South Med J. 2003;96:787-795.

56. Brach C, Lewit EM, VanLandeghem K, et al. Who's enrolled in the State Children's Health Insurance Program (SCHIP)? An overview of findings from the Child Health Insurance Research Initiative (CHIRI). Pediatrics. 2003;112(6 pt 2):e499.

57. Shone LP, Dick AW, Brach C, et al. The role of race and ethnicity in the State Children's Health Insurance Program (SCHIP) in four states: are there baseline disparities and what do they mean for SCHIP? Pediatrics. 2003;112(6 pt 2):e521.

58. Krieger N. Inequality, diversity, and health: thoughts on "race/ethnicity" and "gender." J Am Med Womens Assoc.1996;51:133-136.

59. Ku L, Broaddus M. Funding health coverage for low-income children in Washington (Center on Budget and Policy Priorities, November 10, 2003). Available at: http://www.cbpp.org/11-10-03health.htm. Accessed December 20, 2003.

60. Ku L, Nimalendran S. Losing out: states are cutting 1.2 to 1.6 million low-income people from Medicaid, SCHIP and other state health insurance programs. Center on Budget and Policy Priorities. December 22, 2003. Available at: http://www.cbpp.org/12-22-03health.pdf. Accessed January 3, 2004.

61. Kuttner R. The American health care system: health insurance coverage. N Engl J Med. 1999;340:163-168.

62. Short PF, Graefe DR. Battery powered health insurance? Stability in coverage of the uninsured. Health Aff (Millwood). 2003;22(6):244-255.

63. Mechanic D. Dilemmas in rationing health care services: the case for implicit rationing. BMJ. 1995;310:1655-1669.

64. Stone D. Managed care and the second great transformation. J Health Polit Policy Law. 1999;24:1213-1218.

65. Rodwin MA. Conflicts in managed care. N Engl J Med. 1995;332:604-607.

66. Kassirer J, Angell M. Risk adjustment or risk avoidance? N Engl J Med. 1998;339:1925-1926.

67. Stone D. The struggle for the soul of health insurance. J Health Polit Policy Law. 1993;18:287-317.

68. Kuttner R. The risk-adjustment debate. N Engl J Med. 1998;339:1952-1956.

69. Reinhardt UE. Wanted: a clearly articulated social ethic for American health care. JAMA. 1997;278:1446-1447.

70. Cross TL. Training Guide for Developing Cultural Competence. Washington, DC: People of Color Leadership Institute; 1995.

71. Rosenbaum S, Serrano R, Magar M, Stern G. Civil rights in a changing health care system. Health Aff (Millwood). 1997;16(1):90-105.

72. Calman NS. Out of the shadow: a white inner-city doctor wrestles with racial prejudice. Health Aff (Millwood). 2000;19(1):170-174.

73. Todd KH, Samaroo N, Hoffman JR. Ethnicity as a risk factor for inadequate emergency room department analgesia. JAMA. 1993;269:1537-1539.

74. Todd KH, Lee T, Hoffman JR. The effect of ethnicity on physician estimates on pain severity in patients with isolated extremity trauma. JAMA. 1994;271:925-928.

75. Todd KH, Deaton C, D'Amamo AP, Goe L. Ethnicity and analgesic practice. Ann Emerg Med. 2000;35:11-16.

76. Gentilello LM, Villaveces A, Reis RR, et al. Detection of acute alcohol intoxication and chronic alcohol dependence by trauma center staff. J Trauma. 1999;47:1131-1139.

77. Finucane TE, Carrese JA. Racial bias in presentation of cases. J Gen Intern Med. 1990;5:120-121.

78. Caldwell SH, Popenoe R. Perceptions and misperceptions of skin color. Ann Intern Med. 1995;122:614-617.

79. Cleeland CS, Gonin R, Baez L, et al. Pain and treatment of pain in minority patients with cancer. The Eastern Cooperative Oncology Group Minority Outpatient Study. Ann Intern Med. 1997;127:813-816.

80. Sclar DA, Robison LM, Skaer TL, Galin RS. Ethnicity and the prescribing of antidepressant pharmacotherapy: 1992-1995. Har Rev Psychiatry. 1999;7:29-36.

81. Morrison RS, Wallenstein S, Natale DK, et al. "We don't carry that"—failure of neighborhood pharmacies in predominantly nonwhite neighborhoods to stock opioid analgesics. N Engl J Med. 2000;342:1023-1026.

82. Collins KS, Hall A, Neuhaus C. US Minority Health: A Chartbook. New York, NY: The Commonwealth Fund; May 1999.

83. Baldwin LM, Grossman DC, Casey S, et al. Perinatal and infant health among rural and urban American Indians/Alaska Natives. Am J Public Health. 2002;92:1491-1497.

84. Sims M, Rainge Y. Urban poverty and infant-health disparities among African Americans and whites in Milwaukee. J Natl Med Assoc. 2002;94:472-479.

85. Weissman JS, Gatsonis C, Epstein AM. Rates of avoidable hospitalization by insurance status in Massachusetts and Maryland. JAMA. 1992;268:2388-2394.

86. Ibrahim SA, Whittle J, Bean-Mayberry B, Kelley ME, Good C, Conigliaro J. Racial/ethnic variations in physician recommendations for cardiac revascularization. Am J Public Health. 2003;93:1689-1693.

87. Christakis DA, Feudtner C. Temporary matters: the ethical consequences of transient social relationships in medical training. JAMA. 1997;278:739-743.

88. Silver HK. Medical students and medical schools. JAMA. 1982;247:309-310.

89. Rosenberg DA, Silver HK. Medical student abuse an unnecessary and preventable cause of stress. JAMA. 1984;251:739-742.

90. Johnston MAC. A model program to address insensitive behaviors toward medical students. Acad Med. 1992;67:236-237.

91. Christakis DA, Feudtner C. Ethics in a sort white coat: the ethical dilemmas that medical students confront. Acad Med. 1993;68:249-254.

92. Lytle GH, Holmes JE, Olsen MC. Usefulness of seminars on medical-student abuse [letter]. Acad Med. 1993;68:673.

93. Lytle GH. Medical student abuse: a review of the literature and experience on one campus. J Okla St Med Assoc. 1993;86:613-615.

94. Kassebaum DG, Cutler ER. On the culture of student abuse in medical school. Acad Med. 1998;73:1149-1158.

95. Moscarello R, Margittai KJ, Rossi M. Differences in abuse reported by female and male Canadian medical students. Can Med Assoc J. 1994;150:357-363.

96. Nakao A. Grad charges med school with racial prejudice. San Francisco Sunday Examiner and Chronicle. June 1, 1980

97. Nakao A. Bringing culture into medicine: Oakland pediatrician has worked tirelessly to help physicians gain social awareness. San Francisco Examiner. April 16, 2000.

98. Gamble VN. Subcutaneous scars: a black physician shares what it feels like to be on the receiving end of racial prejudice, despite a successful career. Health Aff. 2000;19(1):164-169.

99. Diaz AL, McMillin JD. A definition and description of nurse abuse. West J Nurs Res. 1991;13:97-109.

100. Eckenfels EJ, Daugherty SR, Baldwin DC. A socio-cultural framework for explaining perceptions of mistreatment and abuse in the professional socialization of future physicians. Ann Behav Sci Med Educ. 1997;4:11-18.

101. George V, Dundes A. The gomer: a figure of American hospital folk speech. J Am Folklore. 1978;91:568-581.

102. Coombs RH, Chopra S, Schenk DR, Yutan E. Medical slang and its functions. Soc Sci Med. 1993;36:987-998.

103. Gregory K, Wells KB, Leake B. Medical students' expectations for encounters with minority and nonminority patients. J Natl Med Assoc. 1987;79:403-408.

104. Rathore SS, Lenert LA, Weinfurt KP, et al. The effects of patient race and sex on medical students' ratings of quality of life. Am J Med. 2000;108:561-566.

105. Berlin EA, Fowkes WC. A teaching framework for cross-cultural health care: an application in family practice. West J Med. 1983;139:934-938.

106. Like R, Prasaad R, Rubel A. STFM core curriculum guidelines: recommended core curriculum guidelines on culturally sensitive and competent health care. Fam Med. 1996;28:291-297.

107. Loudon RF, Anderson PM, Gill PS, Greenfield SM. Educating medical students for work in culturally diverse societies. JAMA. 1999;282:875-880.

108. Carillo JE, Green AR, Betancourt JR. Cross-cultural primary care: a patient-based approach. Ann Intern Med. 1999;130:829-834.

109. Jacobs EA, Kohrman C, Lemon M, Vickers DL. Teaching physicians-in-training to address racial disparities in health: a hospital-community partnership. Public Health Rep. 2003;118:349-357.

110. Tervalon M, Murray-Garcia J. Cultural humility versus cultural competence: a critical distinction in defining physician training outcomes in multicultural education. J Health Care Poor Underserved. 1998;9:117-125.

111. Nickens HW, Ready TP, Petersdorf RG. Project 3000 by 2000: racial and ethnic diversity in U. S. medical schools. N Engl J Med. 1994;331:472-476.

112. Blendon J, Aiken L, Freeman H, Corey C. Access to medical care for black and white Americans. JAMA. 1989;261:278-281.

113. Canton JC, Miles EL, Baker LC, Barker DC. Physician service to the underserved: Implications for affirmative action in medical education. Inquiry. 1996;33:167-180.

114. Komaromy M, Grumbach K, Drake M, et al. The role of black and Hispanic physicians in providing care for underserved populations. N Engl J Med. 1996;334: 1305-1328.

115. Rivo ML, Satcher D. Improving health access to health care through physician workforce reform. JAMA. 1993;270:1074-1078.

116. Carlisle DM, Gardner JE, Liu H. The entry of underrepresented minority students into US medical schools: an evaluation of recent trends. Am J Public Health. 1998;88:1314-1318.

117. Peltier M. Racial preferences ended for Florida's colleges. Reuters. February 22, 2000.

118. CNN. Anti-affirmative action proposal approved in Washington State. November 3, 1998. Available at: http://www.cnn.com/ALLPOLITICS/stories/1998/11/03/election/ballots/affirmative.action. Accessed December 20, 2003.

119. Libby DL, Zhou Z, Kindig DA. Will minority physician supply meet U. S. needs? Projections for reaching racial parity of physicians to population. Health Aff (Millwood). 1997;16(4):205-214.

120. Geiger HJ. Ethnic cleansing in the groves of academe [editorial]. Am J Public Health. 1998;88:1299-1300.

121. Cohen JJ. Finishing the bridge to diversity. Acad Med. 1997;72:103-109.

122. Split ruling on affirmative action. National Public Radio. June 23, 2003.

123. Taylor WL. The Bush Administration v. Affirmative Action: Justice Department Drags Feet on Upholding Court Ruling. The Citizens Commission on Civil Rights. December 9, 2003. Available at: www.civilrights.org/issues/affirmative/details.cfm?id=17608. Accessed July 8, 2004.

124. The impact of managed care on doctors who serve poor and minority patients. Harvard Law Review. 1995;108:1625-1642.

125. Dr. Walter Shervington, past president of the National Medical Association. Quoted in: Race in Health Care. "Online NewsHour." January 25, 2000. Available at: www.pbs.org/newshour/bb/health/jan-june00/race_1-25.html. Accessed August 10, 2004.

126. Madison v Shalala. 80 F3d 1 121 (6th Cir) (1996).

127. SenGupta I. Interpreter Services Utilization in Eight Health Care Institutions in the State of Washington. Seattle, Wash: Cross Cultural Health Care Program; April 1996:9.

128. Perkins J, Simon H, Cheng F, Olson K, Vera Y. Ensuring Linguistic Access in Health Care Settings: Legal Rights and Responsibilities. National Health Law Program. Menlo Park, Calif: Henry J. Kaiser Foundation; January 1998:82-85.

129. Lurie N, Ward NB, Shapiro MF, Brook RH. Termination from Medi-Cal— does it affect health? N Engl J Med. 1984;311:480-484.

130. Lurie N, Ward NB, Shapiro MF, Gallego C, Vaghaiwalla R, Brook RH. Termination of Medi-Cal benefits. A follow-up study one year later. N Engl J Med. 1986;314:1266-1268.

131. Silverman EM, Skinner JS, Fisher ES. The association between for-profit hospital ownership and increased Medicare spending. N Engl J Med. 1999;341:420-426.

132. US Department of Health and Human Services, Office of Minority Health. National Standards for Culturally and Linguistically Appropriate Services in Health Care. Final Report. Washington, DC. March 2001. Available at: www.omhrc.gov/omh/programs/2pgprograms/finalreport.pdf. Accessed February 15, 2002.

133. Cohen E, Goode TD. Rationale for Cultural Competence in Primary Health Care. Policy Brief 1. Washington, DC: National Center for Cultural Competence, Georgetown University Child Development Center; Winter 1999. Available at: http://gucchd.georgetown.edu/nccc/nccc6.html/. Accessed July 8, 2004.

134. Goode T, Sockalingam S, Brown M, Jones W. Linguistic Competence in Primary Health Care Delivery Systems: Implications for Policy Makers. Policy Brief 2. Washington, DC: National Center for Cultural Competence, Georgetown University Child Development Center; Winter 2000. Available at: http://gucchd.georgetown.edu/nccc/ncccpolicy2.html. Accessed July 8, 2004.

135. Putsch R, SenGupta I, Sampson A, Tervalon M. Reflections on the CLAS Standards: Best Practices, Innovations and Horizons. Seattle, Wash: Cross Cultural Health Care Program; October 2003. Available at: http://www.xculture.org/research/downloads/CLAS.pdf. Accessed December 20, 2003.

136. Mechanic D, Schlesinger M. The impact of managed care on patients' trust in medical care and their physicians. JAMA. 1996;275:1693-1697.

137. Mechanic D. The functions and limitations of trust in the provision of medical care. J Health Polit Policy Law. 1998;23:661-686.

138. Bloche MG. Clinical loyalties and the social purposes of medicine. JAMA. 1999;281:268-274.

139. Weiss LJ, Blustein J. Faithful patients: the effect of long-term physician-patient relationships on the costs and use of health care by older Americans. Am J Public Health. 1996;86:1742-1747.

140. Hjortdahl P, Laerum E. Continuity of care in general practice: effect on patient satisfaction. BMJ. 1992;304:1287-1290.

141. Kibbe DC, Bentz E, McLaughlin CP. Continuous quality improvement for continuity of care. J Fam Pract. 1993;36:304-308.

142. Breslau N, Mortimer EA. Seeing the same doctor: determinants of satisfaction with specialty care for disabled children. Med Care. 1981;19:741-758.

143. Breslau N. Continuity reexamined: differential impact on satisfaction with medical care for disabled and normal children. Med Care. 1982;20:3447-3460.

144. Beeker MH, Drachman RH, Kirscht JP. A field experiment to evaluate various outcomes of continuity of physician care. Am J Public Health. 1974;64:1062-1070.

145. Wasson JH, Sauvigne AE, Mogielnicki RP, et al. Continuity of outpatient medical care in elderly men: a randomized trial. JAMA. 1984;252:2413-2417.

146. Freeman GK, Richards SC. Is personal continuity of care compatible with free choice of a doctor? Patient's views on seeing the same doctor. Br J Gen Pract. 1993;43:493-497.

147. Hjortdahl P, Borchgrevink CF. Continuity of care: influence of general practitioners' knowledge about their patients on use of resources in consultations. BMJ. 1991;303:1181-1184.

148. Hurley RE, Gage BJ, Freund DA. Roll-over effects in gatekeeper programs: cushioning the impact of restricted choice. Inquiry. 1991;21:375-384.

149. Dietrich AJ, Marton KI. Does continuous care from a physician make a difference? J Fam Pract. 1982;15:929-937.

150. Daumit GL, Hermann JA, Coresh J, Powe NR. Use of cardiovascular procedures among black persons and white persons: a 7-year nationwide study in patients with renal disease. Ann Intern Med. 1999;130:173-182.




 
   

Intellisphere, LLC l 666 Plainsboro Road, Building 300, Plainsboro, NJ 08536 l P 609-716-7777 l F 609-716-4747

Copyright ©MDNG 2006-2010
Intellisphere, LLC
All Rights Reserved