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. Author manuscript; available in PMC: 2010 Jul 1.
Published in final edited form as: Hepatology. 2009 Jul;50(1):309–313. doi: 10.1002/hep.22942

Health Disparities in Liver Disease

Time to Take Notice and Take Action

Jennifer Guy 1,2,3,4, Hal F Yee Jr 1,2,3,4
PMCID: PMC2705477  NIHMSID: NIHMS116152  PMID: 19554619

Health disparities between various groups in the United States have received increasing attention over the past decade, and solving this problem has become a major public health priority. The Federally-sponsored Healthy People 2010, our nation’s health promotion and disease prevention initiative, calls to “eliminate health disparities, including differences that occur by gender, race or ethnicity, education or income, disability, geographic location, or sexual orientation” (1). These health disparity populations constitute a large proportion of patients with liver disease (2, 3), and evidence suggests that these populations are disproportionately affected by several common hepatic disorders that include viral hepatitis (4-7), non-alcoholic fatty liver disease (8, 9), and hepatocellular carcinoma (10-13). Health disparities, therefore, have special relevance to the field of hepatology. This policy statement aims to inform the hepatology community about the importance of health disparities in our field, provide a framework for approaching health disparities in research and clinical practice, and recommend ways the AASLD and its membership can work toward the reduction and elimination of health disparities in patients with liver disease.

The importance of health disparities to liver health

As acknowledged in Healthy People 2010, health disparities have become one of the nation’s most pressing public health concerns. The Institute of Medicine’s groundbreaking report “Unequal Treatment”, that described significant disparities in health between various groups in the United States, was a call to action in the medical community (14). Commitment to improving health disparities is shared by many organizations including the Centers for Disease Control and Prevention (15), the Department of Health and Human Services (16), many academic and community medical centers, as well as professional, political, philanthropic, and patient organizations. Furthermore, numerous health care systems and payers, including Centers for Medicare and Medicaid Services and private insurers, are placing increasing emphasis on quality care initiatives, including the promotion of health equity. In December 2008, the National Institutes of Health (NIH), which shapes our nation’s research agenda and scientific funding priorities, convened a Health Summit The Science of Eliminating Health Disparities to address the best ways to integrate “science, policy, and practice” to solve this growing problem (17). Taken together, these examples underscore the mounting professional, political, payer and public support of programs to reduce health disparities.

Multiple definitions of health disparities exist in the literature and in practice (18, 19). Broadly defined health disparities are “clinically and statistically significant differences in health outcomes or health care use between socially distinct vulnerable and less vulnerable populations” (20). A more specific definition is provided in the Minority Health and Health Disparities Research and Education Act of 2000 (21):

“[a] population is a health disparity population if there is a significant disparity in the overall rate of disease incidence, prevalence, morbidity, mortality or survival rate in the population as compared to the health status of the general population.”

In order to optimize our understanding of health disparities, we must be mindful that there are many determinants of health beyond access to and provision of health care. Studies suggest that the provision of health care accounts for only a small proportion of an individual’s overall health state (22, 23). Genetics, the external and social environment, socioeconomic status, education and literacy, cultural norms, and personal behavior all contribute powerfully to an individual’s health (22). Thus, health disparities can occur due to differences between groups in any of the aforementioned determinants. The World Health Organization Commission on Social Determinants of Health recently issued a report describing the important role social and environmental factors have in shaping health inequity worldwide (24). Moreover, an in-depth assessment of the non-medical contributors to health status in the United States is currently being undertaken by the Commission to Build a Healthier America sponsored by the Robert Wood Johnson Foundation (25). Hence, public policy as it relates to non-medical determinants of health can strongly influence the propagation or elimination of health disparities.

Health disparity populations traditionally derive from groups that have been disadvantaged or underserved, and are often referred to as “vulnerable populations” (26). The Healthy People 2010 agenda is inclusive of many such patient groups, including those that differ by gender, race, ethnicity, sexual preference, geography, or socioeconomic status. Patients who are uninsured or underinsured, and thus lack adequate access to health care (27), represent a growing vulnerable patient population. The AASLD’s mission statement recognizes the importance of socioeconomic influences on health outcomes by ensuring “the provision of liver health care to all Americans, regardless of ability to pay” (28). However, as discussed above, health disparities will persist even with equalization of access to health care. This further highlights that there are multiple causes of health disparities other than medical care, including genetic, behavioral, cultural, environmental, and social determinants.

Health disparities have been described for diverse liver diseases (2, 3), including viral hepatitis (4-7), nonalcoholic liver disease (8, 9), and hepatocellular carcinoma (10-13), which together account for the greatest burden of liver disease facing hepatologists today (29). Indeed, a recent review article in this journal by Nguyen and Thuluvath provides a comprehensive overview of racial and ethnic disparities in liver disease (2). Disparities due to socioeconomic status -- regardless of race and ethnicity -- have also been demonstrated for important hepatic risk factors such as injection drug use (30), obesity and diabetes (31). Our goal in this article is not to provide an extensive overview of health disparities in liver disease; but rather we hope to emphasize the substantial impact of health disparities on the field of hepatology and highlight their special importance to our organization.

Promotion of an integrated and multidisciplinary approach to addressing health disparities

Partnership between researchers, clinicians, public health workers, payers, policymakers, philanthropic organizations, and patients is imperative to achieve a thorough understanding of when and why disparities exist, and to develop and implement programs to reduce health disparities. The NIH roadmap espoused by Elias Zerhouni, former NIH Director, focuses on three research funding initiatives to improve the nation’s health: 1) new pathways to discovery, 2) research teams of the future, and 3) reengineering the clinical research enterprise (32). The NIH roadmap emphasizes pre-translation or fundamental scientific research (which we will term T0 research), upon which diagnoses, treatments, and prevention can be based; phase 1 translation (T1) research, which transfers fundamental scientific knowledge to health applications; and phase 2 translation (T2) research, which determines the value of health applications to establish evidence-based guidelines. This approach to improving health by concentrating on T0, T1, and T2 research is echoed in the National Institute of Diabetes and Digestive and Kidney Diseases’ Action Plan for Liver Disease Research (33).

However, to address health disparities, T0, T1, and T2 research pathways are necessary but not sufficient. Improvements in health, and therefore reductions in health disparities, will require extension of the NIH roadmap to include T3 and T4 translation pathways (Table 1). Phase 3 translation (T3) research studies delivery, dissemination, and diffusion of evidence-based guidelines into health practice (34), and phase 4 translation (T4) research assesses health outcomes of T1 and T2 health applications in actual practice (35). Bench to bedside research (i.e., T0, T1, and T2) allows for understanding the underlying biologic and genetic differences between groups and for developing targeted therapeutics and novel diagnostics. In parallel, bedside to community research (i.e., T3) is necessary to move proven health interventions to clinical practice. Finally, to address the problem of health disparities it will also be necessary to determine the effectiveness of diagnostics and treatments in ‘real world’ clinical settings, and to evaluate how interactions between the patient, provider, and healthcare system affect health outcomes (i.e., T4).

Table 1.

Bench-to-Bedside Research Pathways

Pre-translation (T0) research elucidate pathogenesis and pathophysiology of disease
Phase 1 translation (T1) research seeks to move a basic discovery into a candidate health application
Phase 2 translation (T2) research assesses the value of T1 application for health practice leading to the development of evidence-based guidelines
Phase 3 translation (T3) research attempts to move evidence-based guidelines into health practice, through delivery, dissemination, and diffusion research
Phase 4 translation (T4) research seeks to evaluate the “real world” health outcomes of T1 and T2 applications in practice

Modified from Zerhouni (31), Westfall (33), and Khoury (34).

The importance of this continuum of translation research is mirrored in several proposed models for approaching health disparities in research and clinical practice (16, 20, 26). Since health disparities result from a complex interplay of medical and non-medical factors, these models recognize that an integrated, interdisciplinary approach is required. A useful framework adapted from Kilbourne and colleagues is presented in Table 2 (20). The key steps in this approach include: 1) measuring and identifying health disparities, 2) investigating and understanding the causes of disparities, and 3) developing, implementing, and evaluating interventions aimed at reducing disparities. In the past, health disparities research has largely focused on documenting that disparities exist; however, emphasis must be placed in the future on understanding the causes of disparities and implementing programs aimed at their reduction.

Table 2.

Systematic Approach to Health Disparities Research

Steps Goals Research Pathways
Measurement of disparity Document differences in incidence, prevalence, natural history, and outcomes Epidemiologic and patient centered research
Identification of causes of disparity Determine social, environmental, biologic, cultural, and behavioral contributors Basic science, clinical, health services, and qualitative research
Implementation of programs to reduce disparity Develop interventions in academic and community hospitals, health centers, physicians offices, communities, public health and public policy venues Clinical trials and health services research
Evaluation Debrief on intervention effectiveness Health services and qualitative research

Adapted from Kilbourne et al (19)

Case study in health disparities research: hepatitis B virus control in Alaska Natives

Hepatitis B virus is a major public health concern worldwide, and the disease is concentrated in several high risk groups in the United States, including foreign born immigrants and Alaska Natives (4-6, 36). The remarkable success over the past four decades of the hepatitis B virus control program in Alaska serves as a superlative example of the effectiveness of a multidisciplinary approach to addressing health disparities.

Although the symptoms, signs, and complications of hepatitis B virus had been well-recognized for hundreds of years, it was only after fundamental scientific advances in T0 research -- including blood protein analysis, immunology, and virology -- that efforts to manage hepatitis B virus could begin (37). These pre-translation research discoveries permitted the development of key clinical applications. The identification and characterization of the Australia antigen (38), now known as the hepatitis B surface antigen (HBsAg), permitted creation of the first diagnostic test for hepatitis B virus (39-41). With improved understanding of immunological responses and the pathobiology of hepatitis B virus, T1 research advances were made including the creation and application of a successful vaccine (42). Elucidation of hepatitis B virology allowed development of effective treatments that include interferon and several nucleotide and nucleoside analogs (43). Clinical trials with these medications and the development of clinical guidelines to treat hepatitis B virus are excellent examples of T2 applications in this field (44, 45). As illustrated here in the advances realized in the diagnosis, prevention, and treatment of hepatitis B virus, T0, T1, and T2 research play an important role in improving health care and provide an essential foundation for T3 and T4 research pathways.

These scientific discoveries allowed epidemiologists and clinicians to begin to measure the burden of hepatitis B virus in diverse populations in the United States that included Alaska Natives. Although this population is in fact racially diverse, from a functional standpoint they represent a distinct health disparity population based on socioeconomic, environmental and geographic factors (46). Epidemiologic surveys, done by applying the newly available HBsAg radioimmunoassay, demonstrated that a disparity existed in Alaska Natives in the incidence and prevalence of hepatitis B virus and its complications, as compared to Caucasians in the United States or to other non-Alaska Native American populations (47, 48). Researchers also documented an increased incidence of hepatocellular carcinoma (HCC) with a higher mortality rate among Alaska Natives when compared to the overall population (49, 50). The measurement of these differences in incidence, prevalence, and outcomes brought about efforts to identify the causes of the disparities and to develop programs aimed at their reduction.

Identification of the causes underlying the increased disease burden in Alaska Natives included elucidation of differences in viral transmission as compared to other populations. Studies in Alaska Natives showed that child-child transmission was a major form of infectivity in Alaska as compared to other parts of the world where vertical transmission dominated (36, 51). Knowledge of the unique infection patterns and geographic distribution of hepatitis B in different Alaskan communities helped officials design and implement a comprehensive vaccination program in the early 1980s to control transmission of hepatitis B virus (51). Extensive effort and partnership between health workers, researchers, and the community was required to make this program a success. Studies have shown that the prevalence of hepatitis B virus in Alaska Natives born after program implementation dropped to nearly zero (52, 53). Another aspect of this comprehensive program included population-based surveillance for HCC in chronically infected individuals using serial alpha fetal protein (AFP) measurements (54). This program has resulted in increased survival from HCC over a 16 year follow-up period as compared to a historical cohort (55). The promising results shown here in reducing disparities through T3 and T4 based studies and interventions underscore the importance of identifying the factors contributing to observed differences and implementing programs that address population specific trends and needs.

Recommendations for action

Health disparities are a growing public health imperative and an important problem within the field of liver disease. As illustrated in the case of hepatitis B virus disparities in Alaska Natives, an integrated, multidisciplinary partnership between basic scientists, clinical and health services researchers, practitioners, public health workers, policy makers, payers, and patients is an effective approach to the complex challenge of identifying, understanding, and reducing health disparities in liver disease. The AASLD and its membership have the opportunity to take action to reduce health disparities and improve health for vulnerable patient populations with liver disease. With these goals in mind, the Public Policy Committee will:

  1. Work toward organizing a multidisciplinary program at the Liver Meeting® (e.g., focused study group, mini-symposium, or workshop) to establish priority areas in liver health disparities that should be targeted for future study and intervention.

  2. Support the AASLD’s development of funding for basic science, clinical, and health services research that specifically addresses health disparities in liver disease.

  3. Advocate for vulnerable patient populations to receive adequate private, local, and federal support for access to liver health care and enrollment in clinical trials.

  4. Encourage the education of hepatology trainees and practitioners about health disparities and how to provide culturally sensitive and language appropriate health care.

These recommendations mirror the goals and mission of the AASLD (56). Hence, we propose that these recommendations be considered for adoption by the AASLD for implementation through its member committees, including basic research, clinical research, NIH liaison, practice guidelines, public policy, scientific program, and training and clinical policy. Efforts to understand and eliminate health disparities in patients with liver disease are essential to achieve the AASLD’s vision, “to prevent and cure liver disease.”

Acknowledgments

Financial Support: This work was supported in part by the William and Mary Ann Rice Memorial Distinguished Professorship (HY), NIH Hepatology Training Grant T32DK060414 (JG), and a gift from the Technical Training Foundation.

List of Abbreviations

(AASLD)

American Association for the Study of Liver Disease

(NIH)

National Institute of Health

(T0)

pre-translation research

(T1)

phase 1 translation research

(T2)

phase 2 translation research

(T3)

phase 3 translation research

(T4)

phase 4 translation research

(HBsAg)

hepatitis B surface antigen

(HCC)

hepatocellular carcinoma

(AFP)

alpha fetal protein

References

  • 1.United States Department of Health and Human Services . With Understanding and Improving Health and Objectives for Improving Health. 2 vols. 2nd ed. U.S. Government Printing Office; Washington, DC: Nov, 2000. Healthy People 2010. [Google Scholar]
  • 2.Nguyen GC, Thuluvath PJ. Racial disparity in liver disease: Biological, cultural, or socioeconomic factors. Hepatology. 2008;47:1058–1066. doi: 10.1002/hep.22223. [DOI] [PubMed] [Google Scholar]
  • 3.Flores YN, Yee HF, Jr., Leng M, Escarce JJ, Bastani R, Salmeron J, Morales LS. Risk factors for chronic liver disease in Blacks, Mexican Americans, and Whites in the United States: results from NHANES IV, 1999-2004. Am J Gastroenterol. 2008;103:2231–2238. doi: 10.1111/j.1572-0241.2008.02022.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Kim WR, Benson JT, Therneau TM, Torgerson HA, Yawn BP, Melton LJ. Changing epidemiology of hepatitis B in a U.S. community. Hepatology. 2004;39:811–816. doi: 10.1002/hep.20098. [DOI] [PubMed] [Google Scholar]
  • 5.Rawls RA, Vega KJ. Viral hepatitis in minority America. J Clin Gastroenterol. 2005;39:144–151. [PubMed] [Google Scholar]
  • 6.Steele C. Brooke, M-M L, Campoluci Richard, DeLuca Nickolas, Dean Hazel D. Health Disparities in HIV/AIDS, Viral Hepatitis, Sexually Transmitted Diseases, and Tuberculosis. Issues, Burdens, and Response, A Retrospective Review, 2000-2004. Department of Health and Human Services, Centers for Disease Control and Prevention; Atlanta, GA: 2007. [Google Scholar]
  • 7.Wise M, Bialek S, Finelli L, Bell BP, Sorvillo F. Changing trends in hepatitis C-related mortality in the United States, 1995-2004. Hepatology. 2008;47:1128–1135. doi: 10.1002/hep.22165. [DOI] [PubMed] [Google Scholar]
  • 8.Browning JD, Szczepaniak LS, Dobbins R, Nuremberg P, Horton JD, Cohen JC, Grundy SM, et al. Prevalence of hepatic steatosis in an urban population in the United States: impact of ethnicity. Hepatology. 2004;40:1387–1395. doi: 10.1002/hep.20466. [DOI] [PubMed] [Google Scholar]
  • 9.Weston SR, Leyden W, Murphy R, Bass NM, Bell BP, Manos MM, Terrault NA. Racial and ethnic distribution of nonalcoholic fatty liver in persons with newly diagnosed chronic liver disease. Hepatology. 2005;41:372–379. doi: 10.1002/hep.20554. [DOI] [PubMed] [Google Scholar]
  • 10.El-Serag HB, Mason AC. Rising incidence of hepatocellular carcinoma in the United States. N Engl J Med. 1999;340:745–750. doi: 10.1056/NEJM199903113401001. [DOI] [PubMed] [Google Scholar]
  • 11.Davila JA, El-Serag HB. Racial differences in survival of hepatocellular carcinoma in the United States: a population-based study. Clin Gastroenterol Hepatol. 2006;4:104–110. quiz 104-105. [PubMed] [Google Scholar]
  • 12.El-Serag HB, Lau M, Eschbach K, Davila J, Goodwin J. Epidemiology of hepatocellular carcinoma in Hispanics in the United States. Arch Intern Med. 2007;167:1983–1989. doi: 10.1001/archinte.167.18.1983. [DOI] [PubMed] [Google Scholar]
  • 13.Wong R, Corley DA. Racial and ethnic variations in hepatocellular carcinoma incidence within the United States. Am J Med. 2008;121:525–531. doi: 10.1016/j.amjmed.2008.03.005. [DOI] [PubMed] [Google Scholar]
  • 14.Smedley B, Stith AY, Nelson AR, editors. Unequal Treatment: Confronting Racial and Ethnic Disparities in Health Care. National Academy Press; Washington, DC: 2002. [PubMed] [Google Scholar]
  • 15.Centers for Disease Control. the Office of Minority Health and Health Disparities [Accessed January 22, 2009]; Available from http://www.cdc.gov/omhd/
  • 16.United States Department of Health and Human Services [Accessed January 22, 2009];A Strategic Framework for Improving Racial/Ethnic Minority Health and Eliminating Racial/Ethnic Health Disparities. Available from http://www.omhrc.gov/npa/images/78/PrintFramework.html.
  • 17.National Center on Minority Health [Accessed on January 22, 2009];Health Disparities NIH Summit The Science of Eliminating Health Disparities. Available from http://ncmhd.nih.gov/
  • 18.Braveman P. Health disparities and health equity: concepts and measurement. Annu Rev Public Health. 2006;27:167–194. doi: 10.1146/annurev.publhealth.27.021405.102103. [DOI] [PubMed] [Google Scholar]
  • 19.Adler NE, Rehkopf DH. U.S. Disparities in health: descriptions, causes, and mechanisms. Annu Rev Public Health. 2008;29:235–252. doi: 10.1146/annurev.publhealth.29.020907.090852. [DOI] [PubMed] [Google Scholar]
  • 20.Kilbourne AM, Switzer G, Hyman K, Crowley-Matoka M, Fine MJ. Advancing health disparities research within the health care system: a conceptual framework. Am J Public Health. 2006;96:2113–2121. doi: 10.2105/AJPH.2005.077628. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.United States Public Law 106-525. 2000. [Google Scholar]
  • 22.McGinnis JM, Williams-Russo P, Knickman JR. The case for more active policy attention to health promotion. Health Aff (Millwood) 2002;21:78–93. doi: 10.1377/hlthaff.21.2.78. [DOI] [PubMed] [Google Scholar]
  • 23.Mokdad AH, Marks JS, Stroup DF, Gerberding JL. Actual causes of death in the United States, 2000. JAMA. 2004;291:1238–1245. doi: 10.1001/jama.291.10.1238. [DOI] [PubMed] [Google Scholar]
  • 24.World Health Organization Commission on Social Determinants of Health . World Health Organization Press; Geneva: 2008. [Google Scholar]
  • 25.Robert Wood Johnson Foundation Commission to Build a Healthier America [Accessed January 22, 2009]; Available from http://www.commissiononhealth.org.
  • 26.King TE, Wheeler, Margaret . Medical Management of Vulnerable and Underserved Patients: Principles, Practice, and Populations. McGraw-Hill Medical Publishing; New York, NY: 2006. [Google Scholar]
  • 27.Ayanian JZ, Weissman JS, Schneider EC, Ginsburg JA, Zaslavsky AM. Unmet health needs of uninsured adults in the United States. JAMA. 2000;284:2061–2069. doi: 10.1001/jama.284.16.2061. [DOI] [PubMed] [Google Scholar]
  • 28.American Association for the Study of Liver Disease Public Policy Agenda for 2008 [Accessed January 22, 2009]; Available from http://www.aasld.org/about/publicpolicy/Documents/Public%20Policy%20Documents/pp2008agenda.pdf.
  • 29.Rustgi VK, Davis GL, Herrine SK, McCullough AJ, Friedman SL, Gores GJ. Future trends in hepatology: challenges and opportunities. Hepatology. 2008;48:655–661. doi: 10.1002/hep.22451. [DOI] [PubMed] [Google Scholar]
  • 30.Armstrong GL. Injection drug users in the United States, 1979-2002: an aging population. Arch Intern Med. 2007;167:166–173. doi: 10.1001/archinte.167.2.166. [DOI] [PubMed] [Google Scholar]
  • 31.Mokdad AH, Bowman BA, Ford ES, Vinicor F, Marks JS, Koplan JP. The continuing epidemics of obesity and diabetes in the United States. JAMA. 2001;286:1195–1200. doi: 10.1001/jama.286.10.1195. [DOI] [PubMed] [Google Scholar]
  • 32.Zerhouni E. Medicine. The NIH Roadmap. Science. 2003;302:63–72. doi: 10.1126/science.1091867. [DOI] [PubMed] [Google Scholar]
  • 33.United States Department of Health and Human Services. National Institutes of Health . Action Plan for Liver Disease Research. Dec, 2004. NIH Publication No. 04-5491. [Google Scholar]
  • 34.Westfall JM, Mold J, Fagnan L. Practice-based research--“Blue Highways” on the NIH roadmap. JAMA. 2007;297:403–406. doi: 10.1001/jama.297.4.403. [DOI] [PubMed] [Google Scholar]
  • 35.Khoury MJ, Gwinn M, Yoon PW, Dowling N, Moore CA, Bradley L. The continuum of translation research in genomic medicine: how can we accelerate the appropriate integration of human genome discoveries into health care and disease prevention? Genet Med. 2007;9:665–674. doi: 10.1097/GIM.0b013e31815699d0. [DOI] [PubMed] [Google Scholar]
  • 36.McMahon BJ, Schoenberg S, Bulkow L, Wainwright RB, Fitzgerald MA, Parkinson AJ, Coker E, et al. Seroprevalence of hepatitis B viral markers in 52,000 Alaska Natives. Am J Epidemiol. 1993;138:544–549. doi: 10.1093/oxfordjournals.aje.a116888. [DOI] [PubMed] [Google Scholar]
  • 37.Ganem D, Prince AM. Hepatitis B virus infection--natural history and clinical consequences. N Engl J Med. 2004;350:1118–1129. doi: 10.1056/NEJMra031087. [DOI] [PubMed] [Google Scholar]
  • 38.Blumberg BS, Alter HJ, Visnich S. A “New” Antigen in Leukemia Sera. JAMA. 1965;191:541–546. doi: 10.1001/jama.1965.03080070025007. [DOI] [PubMed] [Google Scholar]
  • 39.Millman I, Zavatone V, Gerstley BJ, Blumberg BS. Australia antigen detected in the nuclei of liver cells of patients with viral hepatitis by the fluorescent antibody technic. Nature. 1969;222:181–184. doi: 10.1038/222181b0. [DOI] [PubMed] [Google Scholar]
  • 40.Millman I, London WT, Sutnick AI, Blumberg BS. Australia antigen-antibody complexes. Nature. 1970;226:83–84. doi: 10.1038/226083a0. [DOI] [PubMed] [Google Scholar]
  • 41.Blumberg BS, London WT, Sutnick AI. Practical applications of the Australia antigen test. Postgrad Med. 1971;50:70–76. doi: 10.1080/00325481.1971.11697697. [DOI] [PubMed] [Google Scholar]
  • 42.Blumberg BS, Millman I. US Patent Office No. 3636191. 1972 Inventors.
  • 43.Dienstag JL. Hepatitis B virus infection. N Engl J Med. 2008;359:1486–1500. doi: 10.1056/NEJMra0801644. [DOI] [PubMed] [Google Scholar]
  • 44.Lok AS, McMahon BJ. Chronic hepatitis B. Hepatology. 2007;45:507–539. doi: 10.1002/hep.21513. [DOI] [PubMed] [Google Scholar]
  • 45.Sorrell MF, Belongia EA, Costa J, Gareen IF, Grem JL, Inadomi JM, Kern ER, et al. National Institutes of Health Consensus Development Conference Statement: Management of Hepatitis B. Ann Intern Med. 2009;150:104–110. doi: 10.7326/0003-4819-150-2-200901200-00100. [DOI] [PubMed] [Google Scholar]
  • 46.United States Department of Health and Human Services Indian Health Service Fact Sheets [Accessed on January 22, 2009]; Available from http://info.ihs.gov/
  • 47.Barrett DH, Burks JM, McMahon B, Elliott S, Berquist KR, Bender TR, Maynard JE. Epidemiology of hepatitis B in two Alaska communities. Am J Epidemiol. 1977;105:118–122. doi: 10.1093/oxfordjournals.aje.a112362. [DOI] [PubMed] [Google Scholar]
  • 48.Schreeder MT, Bender TR, McMahon BJ, Moser MR, Murphy BL, Sheller MJ, Heyward WL, et al. Prevalence of hepatitis B in selected Alaskan Eskimo villages. Am J Epidemiol. 1983;118:543–549. doi: 10.1093/oxfordjournals.aje.a113659. [DOI] [PubMed] [Google Scholar]
  • 49.Heyward WL, Lanier AP, Bender TR, Hardison HH, Dohan PH, McMahon BJ, Francis DP. Primary hepatocellular carcinoma in Alaskan natives, 1969-1979. Int J Cancer. 1981;28:47–50. doi: 10.1002/ijc.2910280109. [DOI] [PubMed] [Google Scholar]
  • 50.McMahon BJ, Lanier AP, Wainwright RB, Kilkenny SJ. Hepatocellular carcinoma in Alaska Eskimos: epidemiology, clinical features, and early detection. Prog Liver Dis. 1990;9:643–655. [PubMed] [Google Scholar]
  • 51.McMahon BJ, Rhoades ER, Heyward WL, Tower E, Ritter D, Lanier AP, Wainwright RB, et al. A comprehensive programme to reduce the incidence of hepatitis B virus infection and its sequelae in Alaskan natives. Lancet. 1987;2:1134–1136. doi: 10.1016/s0140-6736(87)91557-1. [DOI] [PubMed] [Google Scholar]
  • 52.Wainwright RB, Bulkow LR, Parkinson AJ, Zanis C, McMahon BJ. Protection provided by hepatitis B vaccine in a Yupik Eskimo population--results of a 10-year study. J Infect Dis. 1997;175:674–677. doi: 10.1093/infdis/175.3.674. [DOI] [PubMed] [Google Scholar]
  • 53.Harpaz R, McMahon BJ, Margolis HS, Shapiro CN, Havron D, Carpenter G, Bulkow LR, et al. Elimination of new chronic hepatitis B virus infections: results of the Alaska immunization program. J Infect Dis. 2000;181:413–418. doi: 10.1086/315259. [DOI] [PubMed] [Google Scholar]
  • 54.Heyward WL, Lanier AP, McMahon BJ, Fitzgerald MA, Kilkenny S, Paprocki TR. Early detection of primary hepatocellular carcinoma. Screening for primary hepatocellular carcinoma among persons infected with hepatitis B virus. JAMA. 1985;254:3052–3054. [PubMed] [Google Scholar]
  • 55.McMahon BJ, Bulkow L, Harpster A, Snowball M, Lanier A, Sacco F, Dunaway E, et al. Screening for hepatocellular carcinoma in Alaska natives infected with chronic hepatitis B: a 16-year population-based study. Hepatology. 2000;32:842–846. doi: 10.1053/jhep.2000.17914. [DOI] [PubMed] [Google Scholar]
  • 56.American Association for the Study of Liver Disease Strategic Plan [Accessed January 22, 2009]; Available from http://www.aasld.org/about/Documents/StrategicPlan.pdf.

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