Kim Peterson1, Johanna Anderson1, Erin Boundy1, Lauren Ferguson1, Ellen McCleery1, Kallie Waldrip1. 1. Kim Peterson, Johanna Anderson, Erin Boundy, Lauren Ferguson, Ellen McCleery, Kallie Waldrip, are with the Department of Veterans Affairs, VA Portland Health Care System, Evidence-Based Synthesis Program Coordinating Center, Portland, OR.
Abstract
BACKGROUND: Continued racial/ethnic health disparities were recently described as "the most serious and shameful health care issue of our time." Although the 2014 US Affordable Care Act-mandated national insurance coverage expansion has led to significant improvements in health care coverage and access, its effects on life expectancy are not yet known. The Veterans Health Administration (VHA), the largest US integrated health care system, has a sustained commitment to health equity that addresses all 3 stages of health disparities research: detection, understanding determinants, and reduction or elimination. Despite this, racial disparities still exist in the VHA across a wide range of clinical areas and service types. OBJECTIVES: To inform the health equity research agenda, we synthesized evidence on racial/ethnic mortality disparities in the VHA. SEARCH METHODS: Our research librarian searched MEDLINE and Cochrane Central Registry of Controlled Trials from October 2006 through February 2017 using terms for racial groups and disparities. SELECTION CRITERIA: We included studies if they compared mortality between any racial/ethnic minority and nonminority veteran groups or between different minority groups in the VHA (PROSPERO# CRD42015015974). We made study selection decisions on the basis of prespecified eligibility criteria. They were first made by 1 reviewer and checked by a second and disagreements were resolved by consensus (sequential review). DATA COLLECTION AND ANALYSIS: Two reviewers sequentially abstracted data on prespecified population, outcome, setting, and study design characteristics. Two reviewers sequentially graded the strength of evidence using prespecified criteria on the basis of 5 key domains: study limitations (study design and internal validity), consistency, directness, precision of the evidence, and reporting biases. We synthesized the evidence qualitatively by grouping studies first by racial/ethnic minority group and then by clinical area. For areas with multiple studies in the same population and outcome, we pooled their reported hazard ratios (HRs) using random effects models (StatsDirect version 2.8.0; StatsDirect Ltd., Altrincham, England). We created an evidence map using a bubble plot format to represent the evidence base in 5 dimensions: odds ratio or HR of mortality for racial/ethnic minority group versus Whites, clinical area, strength of evidence, statistical significance, and racial group. MAIN RESULTS: From 2840 citations, we included 25 studies. Studies were large (n ≥ 10 000) and involved nationally representative cohorts, and the majority were of fair quality. Most studies compared mortality between Black and White veterans and found similar or lower mortality for Black veterans. However, we found modest mortality disparities (HR or OR = 1.07, 1.52) for Black veterans with stage 4 chronic kidney disease, colon cancer, diabetes, HIV, rectal cancer, or stroke; for American Indian and Alaska Native veterans undergoing noncardiac major surgery; and for Hispanic veterans with HIV or traumatic brain injury (most low strength). AUTHOR'S CONCLUSIONS: Although the VHA's equal access health care system has reduced many racial/ethnic mortality disparities present in the private sector, our review identified mortality disparities that have persisted mainly for Black veterans in several clinical areas. However, because most mortality disparities were supported by single studies with imprecise findings, we could not draw strong conclusions about this evidence. More disparities research is needed for American Indian and Alaska Native, Asian, and Hispanic veterans overall and for more of the largest life expectancy gaps. Public Health Implications. Because of the relatively high prevalence of diabetes in Black veterans, further research to better understand and reduce this mortality disparity may be prioritized as having the greatest potential impact. However, other mortality disparities affect thousands of veterans and cannot be ignored.
BACKGROUND: Continued racial/ethnic health disparities were recently described as "the most serious and shameful health care issue of our time." Although the 2014 US Affordable Care Act-mandated national insurance coverage expansion has led to significant improvements in health care coverage and access, its effects on life expectancy are not yet known. The Veterans Health Administration (VHA), the largest US integrated health care system, has a sustained commitment to health equity that addresses all 3 stages of health disparities research: detection, understanding determinants, and reduction or elimination. Despite this, racial disparities still exist in the VHA across a wide range of clinical areas and service types. OBJECTIVES: To inform the health equity research agenda, we synthesized evidence on racial/ethnic mortality disparities in the VHA. SEARCH METHODS: Our research librarian searched MEDLINE and Cochrane Central Registry of Controlled Trials from October 2006 through February 2017 using terms for racial groups and disparities. SELECTION CRITERIA: We included studies if they compared mortality between any racial/ethnic minority and nonminority veteran groups or between different minority groups in the VHA (PROSPERO# CRD42015015974). We made study selection decisions on the basis of prespecified eligibility criteria. They were first made by 1 reviewer and checked by a second and disagreements were resolved by consensus (sequential review). DATA COLLECTION AND ANALYSIS: Two reviewers sequentially abstracted data on prespecified population, outcome, setting, and study design characteristics. Two reviewers sequentially graded the strength of evidence using prespecified criteria on the basis of 5 key domains: study limitations (study design and internal validity), consistency, directness, precision of the evidence, and reporting biases. We synthesized the evidence qualitatively by grouping studies first by racial/ethnic minority group and then by clinical area. For areas with multiple studies in the same population and outcome, we pooled their reported hazard ratios (HRs) using random effects models (StatsDirect version 2.8.0; StatsDirect Ltd., Altrincham, England). We created an evidence map using a bubble plot format to represent the evidence base in 5 dimensions: odds ratio or HR of mortality for racial/ethnic minority group versus Whites, clinical area, strength of evidence, statistical significance, and racial group. MAIN RESULTS: From 2840 citations, we included 25 studies. Studies were large (n ≥ 10 000) and involved nationally representative cohorts, and the majority were of fair quality. Most studies compared mortality between Black and White veterans and found similar or lower mortality for Black veterans. However, we found modest mortality disparities (HR or OR = 1.07, 1.52) for Black veterans with stage 4 chronic kidney disease, colon cancer, diabetes, HIV, rectal cancer, or stroke; for American Indian and Alaska Native veterans undergoing noncardiac major surgery; and for Hispanic veterans with HIV or traumatic brain injury (most low strength). AUTHOR'S CONCLUSIONS: Although the VHA's equal access health care system has reduced many racial/ethnic mortality disparities present in the private sector, our review identified mortality disparities that have persisted mainly for Black veterans in several clinical areas. However, because most mortality disparities were supported by single studies with imprecise findings, we could not draw strong conclusions about this evidence. More disparities research is needed for American Indian and Alaska Native, Asian, and Hispanic veterans overall and for more of the largest life expectancy gaps. Public Health Implications. Because of the relatively high prevalence of diabetes in Black veterans, further research to better understand and reduce this mortality disparity may be prioritized as having the greatest potential impact. However, other mortality disparities affect thousands of veterans and cannot be ignored.
Authors: Linda G Jones; Mo-Kyung Sin; Fadi G Hage; Raya E Kheirbek; Charity J Morgan; Michael R Zile; Wen-Chih Wu; Prakash Deedwania; Gregg C Fonarow; Wilbert S Aronow; Sumanth D Prabhu; Ross D Fletcher; Ali Ahmed; Richard M Allman Journal: Circ Heart Fail Date: 2014-12-05 Impact factor: 8.790
Authors: Keith C Norris; George A Mensah; L Ebony Boulware; Jun L Lu; Jennie Z Ma; Elani Streja; Miklos Z Molnar; Kamyar Kalantar-Zadeh; Csaba P Kovesdy Journal: Ethn Dis Date: 2016-07-21 Impact factor: 1.847
Authors: Apar Kishor Ganti; Shanmuga P Subbiah; Anne Kessinger; Wilson I Gonsalves; Peter T Silberstein; Fausto R Loberiza Journal: Clin Lung Cancer Date: 2013-11-14 Impact factor: 4.785
Authors: Andy I Choi; Rudolph A Rodriguez; Peter Bacchetti; Daniel Bertenthal; German T Hernandez; Ann M O'Hare Journal: Am J Med Date: 2009-07 Impact factor: 4.965
Authors: Peter Kokkinos; Jonathan Myers; Eric Nylen; Demosthenes B Panagiotakos; Athanasios Manolis; Andreas Pittaras; Marc R Blackman; Roshney Jacob-Issac; Charles Faselis; Joshua Abella; Steven Singh Journal: Diabetes Care Date: 2009-02-05 Impact factor: 17.152
Authors: Lauren E Walker; Eduard Poltavskiy; Jud C Janak; Carl A Beyer; Ian J Stewart; Jeffrey T Howard Journal: Ethn Dis Date: 2019-07-18 Impact factor: 1.847
Authors: John M Clements; Brady T West; Zachary Yaker; Breanna Lauinger; Deven McCullers; James Haubert; Mohammad Ali Tahboub; Gregory J Everett Journal: Diabetes Res Clin Pract Date: 2019-12-15 Impact factor: 5.602
Authors: Charles Muiruri; Chris T Longenecker; Eric G Meissner; Nwora Lance Okeke; April C Pettit; Kevin Thomas; Eric Velazquez; Gerald S Bloomfield Journal: Prog Cardiovasc Dis Date: 2020-02-11 Impact factor: 8.194
Authors: Jonathan Pastrana Del Valle; Nathanael R Fillmore; George Molina; Mark Fairweather; Jiping Wang; Thomas E Clancy; Stanley W Ashley; Richard D Urman; Edward E Whang; Jason S Gold Journal: Ann Surg Oncol Date: 2022-01-10 Impact factor: 5.344
Authors: Gabriella C Silva; Lan Jiang; Roee Gutman; Wen-Chih Wu; Vincent Mor; Michael J Fine; Nancy R Kressin; Amal N Trivedi Journal: Med Care Date: 2021-12-01 Impact factor: 2.983
Authors: J Daniel Kelly; Dawn M Bravata; Stephen Bent; Charlie M Wray; Samuel J Leonard; W John Boscardin; Laura J Myers; Salomeh Keyhani Journal: JAMA Netw Open Date: 2021-06-01
Authors: Daniel J Becker; Kyung M Lee; Steve Y Lee; Kristine E Lynch; Danil V Makarov; Scott E Sherman; Christy D Morrissey; Michael J Kelley; Julie A Lynch Journal: JCO Precis Oncol Date: 2021-04-13
Authors: Michelle S Wong; Taona P Haderlein; Anita H Yuan; Ernest Moy; Kenneth T Jones; Donna L Washington Journal: Int J Environ Res Public Health Date: 2021-05-01 Impact factor: 3.390