The DOI matches its Crossref record; 54 of the 54 references it cites were found in a registry or an index.
Racial/Ethnic and Gender Disparities in Health Care Use and Access
Open accessAbstract
Objective: To document racial/ethnic and gender differences in health service use and access after the Affordable Care Act went into effect. Data Source: Secondary data from the 2006–2014 National Health Interview Survey. Study Design: Linear probability models were used to estimate changes in health service use and access (i.e., unmet medical need) in two separate analyses using data from 2006 to 2014 and 2012 to 2014. Data Extraction: Adult respondents aged 18 years and older ( N = 257,560). Principal Findings: Results from the 2006–2014 and 2012–2014 analyses show differential patterns in health service use and access by race/ethnicity and gender. Non‐Hispanic whites had the greatest gains in health service use and access across both analyses. While there was significant progress among Hispanic respondents from 2012 to 2014, no significant changes were found pre–post‐health care reform, suggesting access may have worsened before improving for this group. Asian men had the largest increase in office visits between 2006 and 2014, and although not statistically significant, the increase continued 2012–2014. Black women and men fared the worst with respect to changes in health care access. Conclusions: Ongoing research is needed to track patterns of health service use and access, especially among vulnerable racial/ethnic and gender groups, to determine whether existing efforts under health care reform reduce long‐standing disparities.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“reflecting the tendency for White females to attend mental health services more often than their male/non-White counterparts, and their greater likelihood of participating in research studies [46, 47].”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
KESSLER, R. C., ANDREWS, G., COLPE, L. J., HIRIPI, E., MROCZEK, D. K., NORMAND, S.-L. T., WALTERS, E. E., & ZASLAVSKY, A. M. (2002) · Psychological Medicine · doi:10.1017/s0033291702006074 · Cited by 10,327
Revisiting the Behavioral Model and Access to Medical Care: Does it Matter?
Andersen, R. M. (1995) · Journal of Health and Social Behavior · doi:10.2307/2137284 · Cited by 9,831
Screening for serious mental illness in the general population
Kessler, R. C., Barker, P. R., Colpe, L. J., Epstein, J. F., Gfroerer, J. C., Hiripi, E., Howes, M. J., Normand, S.-L. T., Manderscheid, R. W., Walters, E. E., et al. (2003) · Archives of General Psychiatry · doi:10.1001/archpsyc.60.2.184 · Cited by 5,692
Socioeconomic Disparities In Health: Pathways And Policies
Adler, N. E., & Newman, K. (2002) · Health Affairs · doi:10.1377/hlthaff.21.2.60 · Cited by 2,102
Gender differences in the utilization of health care services.
Bertakis, K. D., Azari, R. S., Helms, L., Callahan, E. J., & Robbins, J. A. (2000) · PubMed · Cited by 1,464
Differences in the use of procedures between women and men hospitalized for coronary heart disease
Ayanian, J. Z., & Epstein, A. M. (1991) · New England Journal of Medicine · doi:10.1056/nejm199107253250401 · Cited by 1,188
The quality of care for depressive and anxiety disorders in the United States
Young, A. S., Klap, R., Sherbourne, C. D., & Wells, K. B. (2001) · Archives of General Psychiatry · doi:10.1001/archpsyc.58.1.55 · Cited by 1,061
Disparities in Health Care by Race, Ethnicity, and Language Among the Insured
Fiscella, K. A., Franks, P. J., Doescher, M. P., & Saver, B. G. (2002) · Medical Care · doi:10.1097/00005650-200201000-00007 · Cited by 917
Alegria, M. M., CANINO, G. J., Ríos, R. E., Vera, M., Calderón, J., Rusch, D. B., & Ortega, A. N. (2002) · Psychiatric Services · doi:10.1176/appi.ps.53.12.1547 · Cited by 799
Ethnic Disparities in Unmet Need for Alcoholism, Drug Abuse, and Mental Health Care
Wells, K., Klap, R., Koike, A., & Sherbourne, C. (2001) · American Journal of Psychiatry · doi:10.1176/appi.ajp.158.12.2027 · Cited by 773
Flagged first, then by citations
Research works printed but not linked: 5
- Centers for Disease Control and Prevention, 2015, Data File Documentation, National Health Interview Survey, 2006–2014
- NIAAA, 2005, National Institute on Alcohol Abuse and Alcoholism. Helping Patients Who Drink Too Much: A Clinician's Guide. NIH Pub No. 05‐3769
- Office of Disease Prevention and Health Promotion, 2010, Health People 2020
- Salganicoff A., 2014, Women and Health Care in the Early Years of the Affordable Care Act
- Schoenborn C., 2002, Alcohol Use Among Adults: United States, 1997–98. Advanced Data: National Center for Health Statistics
Cited by
Sorted by citations
Mahajan, S., Caraballo, C., Lu, Y., Valero-Elizondo, J., Massey, D., Annapureddy, A. R., Roy, B., Riley, C., Murugiah, K., Onuma, O., et al. (2021) · JAMA · doi:10.1001/jama.2021.9907 · Cited by 368
Coombs, N. C., Meriwether, W. E., Caringi, J., & Newcomer, S. R. (2021) · SSM - Population Health · doi:10.1016/j.ssmph.2021.100847 · Cited by 333
Ruprecht, M. M., Wang, X., Johnson, A. K., Xu, J., Felt, D., Ihenacho, S., Stonehouse, P., Curry, C. W., DeBroux, C., Costa, D., et al. (2020) · Journal of Urban Health · doi:10.1007/s11524-020-00497-9 · Cited by 192
Sex Differences in Differentiated Thyroid Cancer
Shobab, L. A., Burman, K. D., & Wartofsky, L. (2021) · Thyroid · doi:10.1089/thy.2021.0361 · Cited by 158
Ojikutu, B. O., Bogart, L. M., Higgins-Biddle, M., Dale, S. K., Allen, W., Dominique, T., & Mayer, K. H. (2018) · AIDS and Behavior · doi:10.1007/s10461-018-2067-8 · Cited by 145
Postpartum Visit Attendance in the United States: A Systematic Review
Attanasio, L. B., Ranchoff, B. L., Cooper, M. I., & Geissler, K. H. (2022) · Women's Health Issues · doi:10.1016/j.whi.2022.02.002 · Cited by 127
Matcham, F., Leightley, D., Siddi, S., Lamers, F., White, K. M., Annas, P., de Girolamo, G., Difrancesco, S., Haro, J. M., Horsfall, M., et al. (2022) · BMC Psychiatry · doi:10.1186/s12888-022-03753-1 · Cited by 110
“Sociodemographic characteristics The RADAR-MDD cohort has a higher proportion of White and female individuals than would typically be seen in the general population or depressed population [45] reflecting the tendency for White females to attend mental health services more often than their male/non-White counterparts,…”
Racial/Ethnic Differential Effects of Medicaid Expansion on Health Care Access
Yue, D., Rasmussen, P. W., & Ponce, N. A. (2018) · Health Services Research · doi:10.1111/1475-6773.12834 · Cited by 108
The Economic Burden of Disease in France From the National Health Insurance Perspective
Rachas, A., Gastaldi‐Ménager, C., Denis, P., Barthélemy, P., Constantinou, P., Drouin, J., Lastier, D., Lesuffleur, T., Mette, C., Nicolas, M., et al. (2022) · Medical Care · doi:10.1097/mlr.0000000000001745 · Cited by 120
Jones, J. S., Sullivan, P. S., Sanchez, T., Guest, J. L., Hall, E. W., Luisi, N., Zlotorzynska, M., Wilde, G., Bradley, H. M., & Siegler, A. J. (2020) · Journal of Medical Internet Research · doi:10.2196/20001 · Cited by 100
Daher, M., Al Rifai, M., Kherallah, R. Y., Rodriguez, F., Mahtta, D., Michos, E. D., Khan, S. U., Petersen, L. A., & Virani, S. S. (2021) · Preventive Medicine · doi:10.1016/j.ypmed.2021.106779 · Cited by 89
Choi, J. G., Winn, A. N., Skandari, M. R., Franco, M. I., Staab, E. M., Alexander, J., Wan, W., Zhu, M., Huang, E. S., Philipson, L., et al. (2022) · Annals of Internal Medicine · doi:10.7326/m21-2941 · Cited by 87
The Sociodemographic Biases in Machine Learning Algorithms: A Biomedical Informatics Perspective
Franklin, G., Stephens, R., Piracha, M., Tiosano, S., Lehouillier, F., Koppel, R., & Elkin, P. (2024) · Life · doi:10.3390/life14060652 · Cited by 76
Khanijahani, A. (2020) · Ethnicity and Health · doi:10.1080/13557858.2020.1853067 · Cited by 77
Ku, L., & Vichare, A. (2023) · Journal of General Internal Medicine · doi:10.1007/s11606-022-07695-y · Cited by 71
Khanijahani, A., & Tomassoni, L. (2021) · Journal of Racial and Ethnic Health Disparities · doi:10.1007/s40615-021-00965-1 · Cited by 70
Nuako, A. A., Liu, J., Pham, G., Smock, N., James, A. S., Baker, T. B., Bierut, L. J., Colditz, G. A., & Chen, L. (2022) · PLoS ONE · doi:10.1371/journal.pone.0263718 · Cited by 73
Tolisano, A. M., Schauwecker, N., Baumgart, B., Whitson, J., Kutz, J. W., Isaacson, B. B., & Hunter, J. B. (2019) · Annals of Otology Rhinology & Laryngology · doi:10.1177/0003489419888232 · Cited by 68
An Epidemiologic Analysis of Melanoma Overdiagnosis in the United States, 1975–2017
Kurtansky, N. R., Dusza, S. W., Halpern, A. C., Hartman, R. I., Geller, A. C., Marghoob, A. A., Rotemberg, V. M., & Marchetti, M. A. (2022) · Journal of Investigative Dermatology · doi:10.1016/j.jid.2021.12.003 · Cited by 65
Women’s Coverage, Utilization, Affordability, And Health After The ACA: A Review Of The Literature
Lee, L. K., Chien, A. T., Stewart, A. M., Truschel, L. L., Hoffmann, J. A., Portillo, E. N., Pace, L. E., Clapp, M. A., & Galbraith, A. A. (2020) · Health Affairs · doi:10.1377/hlthaff.2019.01361 · Cited by 66
Heun‐Johnson, H., Menchine, M. D., Axeen, S., Lung, K. I., Claudius, I. A., Wright, T. C., & Seabury, S. A. (2020) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2020.3995 · Cited by 64
Health Disparities in Dementia
Balls‐Berry, J. E., & Babulal, G. M. (2022) · CONTINUUM Lifelong Learning in Neurology · doi:10.1212/con.0000000000001088 · Cited by 63
Geller, A. I., Lovegrove, M. C., Shehab, N., Hicks, L. A., Sapiano, M. R. P., & Budnitz, D. S. (2018) · Journal of General Internal Medicine · doi:10.1007/s11606-018-4430-x · Cited by 63
Wang, R. F., Trinidad, J. C., Lawrence, J., Pootrakul, L., Forrest, L. A., Goist, K., Levine, E. J., Nair, S., Rizer, M. K., Thomas, A. M. C., et al. (2019) · Journal of the American Academy of Dermatology · doi:10.1016/j.jaad.2019.10.053 · Cited by 62
Discrimination and Subsequent Mental Health, Substance Use, and Well-being in Young Adults
Lei, Y. Y., Shah, V. V., Biely, C., JACKSON, N. J., Dudovitz, R., Barnert, E. S., Hotez, E., Guerrero, A. D., Bui, A. L., Sastry, N., et al. (2021) · PEDIATRICS · doi:10.1542/peds.2021-051378 · Cited by 59
Fisher, C. B., Tao, X., & Yip, T. (2022) · Cultural Diversity & Ethnic Minority Psychology · doi:10.1037/cdp0000539 · Cited by 64
Yelton, B., Friedman, D. B., Noblet, S. B., Lohman, M. C., Arent, M. A., Macauda, M. M., Sakhuja, M., & Leith, K. H. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19031498 · Cited by 54
Tadiri, C. P., Gisinger, T., Kautzky‐Willer, A., Kublickiene, K. R., Herrero, M. T., Norris, C. M., Raparelli, V., & Pilote, L. (2021) · BMC Public Health · doi:10.1186/s12889-021-11531-z · Cited by 50
A Gender Hypothesis of sex disparities in adverse drug events
Lee, K. M. N., Rushovich, T., Gompers, A. D., Boulicault, M., Worthington, S., Lockhart, J. W., & Richardson, S. S. (2023) · Social Science & Medicine · doi:10.1016/j.socscimed.2023.116385 · Cited by 50
Greaney, M. L., Cohen, S. A., Xu, F., Ward‐Ritacco, C. L., & Riebe, D. A. (2020) · BMJ Open · doi:10.1136/bmjopen-2020-039295 · Cited by 47
Walter, L. A., Schoenfeld, E. M., Smith, C. H., Shufflebarger, E., Khoury, C., Baldwin, K., Hess, J., Heimann, M., Crosby, C., Sontheimer, S. Y., et al. (2021) · Academic Emergency Medicine · doi:10.1111/acem.14201 · Cited by 52
Reeves, T. J., Mathis, T. J., Bauer, H. E., Hudson, M. M., Robison, L. L., Wang, Z., Baker, J. N., & Huang, I. (2021) · Frontiers in Public Health · doi:10.3389/fpubh.2021.741334 · Cited by 46
Jester, D. J., Kohn, J. N., Tibiriçá, L., Thomas, M. L., Brown, L., Murphy, J. D., & Jeste, D. V. (2023) · American Journal of Psychiatry · doi:10.1176/appi.ajp.20220158 · Cited by 48
Demographic and social determinants of cognitive dysfunction following hospitalization for COVID-19
Valdes, E., Fuchs, B., Morrison, C., Charvet, L., Lewis, A., Thawani, S., Balcer, L. J., Galetta, S. L., Wısnıewskı, T., & Frontera, J. A. (2022) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2022.120146 · Cited by 48
Bauer, A. G., Berkley‐Patton, J., Thompson, C. B., & Christensen, K. (2018) · PubMed · Cited by 44
Wand, H., Kalia, S. S., Helm, B. M., Suckiel, S. A., Brockman, D., Vriesen, N., Goudar, R. K., Austin, J., & Yanes, T. (2023) · Journal of Genetic Counseling · doi:10.1002/jgc4.1668 · Cited by 45
Racial Differences in the Prevalence of Autism Spectrum Disorder: A Systematic Review
Gallin, Z., Kolevzon, A. M., Reichenberg, A., Hankerson, S. H., & Kolevzon, A. L. (2024) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-024-06403-5 · Cited by 49
The impact of race and socioeconomic factors on paediatric diabetes
Catherine, J., Russell, M. V., & Hindmarsh, P. C. (2021) · EClinicalMedicine · doi:10.1016/j.eclinm.2021.101186 · Cited by 38
Flores, M. W., Sharp, A., Lu, F. Q., & Cook, B. L. (2023) · Journal of Racial and Ethnic Health Disparities · doi:10.1007/s40615-023-01555-z · Cited by 38
Artificial Intelligence in a Structurally Unjust Society
Lin, T.-A., & Chen, P.-H. C. (2022) · Feminist Philosophy Quarterly · doi:10.5206/fpq/2022.3/4.14191 · Cited by 44
Ponce, S. A., Wilkerson, M. J., Le, R., Nápoles, A. M., & Strassle, P. D. (2023) · BMC Public Health · doi:10.1186/s12889-023-16746-w · Cited by 36
Lu, V. M., Shah, A. H., Eichberg, D. G., Quiñones‐Hinojosa, A., Esquenazi, Y., Komotar, R. J., & Ivan, M. E. (2020) · Journal of Neuro-Oncology · doi:10.1007/s11060-020-03480-1 · Cited by 36
Bruce, D., Grove, T. J., Foster, E., & Shattell, M. M. (2020) · Journal of Women s Health · doi:10.1089/jwh.2020.8437 · Cited by 36
Su, Z., Cheshmehzangi, A., Bentley, B. L., McDonnell, D., Šegalo, S., Aḥmad, J., Chen, H., Terjesen, L. A., Lopez, E., Wagers, S. M., et al. (2022) · Systematic Reviews · doi:10.1186/s13643-022-02150-9 · Cited by 35
Ma, A. C., Sanchez, A., & Ma, M. (2021) · International Journal of Health Economics and Management · doi:10.1007/s10754-021-09311-8 · Cited by 35
Explaining the gender gap in health services use among Ghanaian community-dwelling older cohorts
Gyasi, R. M., Phillips, D. R., & David, R. (2019) · Women & Health · doi:10.1080/03630242.2019.1587666 · Cited by 34
Social Determinants of Health Data Availability for Patients with Eye Conditions
Lee, T. C., Saseendrakumar, B. R., Nayak, M., Chan, A., McDermott, J. J., IV, Shahrvini, B., Ye, G. Y., Sitapati, A. M., Nebeker, C., & Baxter, S. L. (2022) · Ophthalmology Science · doi:10.1016/j.xops.2022.100151 · Cited by 32
Multimorbidity patterns across race/ethnicity as stratified by age and obesity
Alshakhs, M., Jackson, B. M., Ikponmwosa, D., Reynolds, R. B., & Madlock‐Brown, C. (2022) · Scientific Reports · doi:10.1038/s41598-022-13733-w · Cited by 36
Evaluation of Mental Health Mobile Applications
Agarwal, S., Jalan, M., Wilcox, H. C., Sharma, R., Hill, R., Pantalone, E., Thrul, J., Rainey, J. C., & Robinson, K. A. (2022) · doi:10.23970/ahrqepctb41 · Cited by 33
Mental Health Emergency Hotlines in the United States: A Scoping Review (2012–2021)
Matthews, S., Cantor, J., Holliday, S. B., Eberhart, N. K., Breslau, J. A., Bialas, A., & McBain, R. K. (2022) · Psychiatric Services · doi:10.1176/appi.ps.20220128 · Cited by 32
Disability doesn’t discriminate: health inequities at the intersection of race and disability
Holliman, B. D., Stransky, M. L., Dieujuste, N., & Morris, M. A. (2023) · Frontiers in Rehabilitation Sciences · doi:10.3389/fresc.2023.1075775 · Cited by 31
Nephew, L. D., Wang, Y., Mohamed, K., Nichols, D., Rawl, S. M., Orman, E. S., Desai, A. P., Patidar, K. R., Ghabril, M., Chalasani, N., et al. (2022) · Journal of Viral Hepatitis · doi:10.1111/jvh.13661 · Cited by 31
Boutrous, M. L., Tian, Y., Brown, D. L., Freeman, C. A., & Smeds, M. R. (2021) · Annals of Vascular Surgery · doi:10.1016/j.avsg.2021.03.037 · Cited by 32
Khatib, R., Glowacki, N., Lauffenburger, J. C., & Siddiqi, A. (2021) · American Journal of Hypertension · doi:10.1093/ajh/hpab053 · Cited by 30
Park, S., Stimpson, J. P., Pintor, J. K., Roby, D. H., McKenna, R. M., Chen, J., & Ortega, A. N. (2019) · Medical Care · doi:10.1097/mlr.0000000000001202 · Cited by 30
Misa, N. Y., Pérez, B., Basham, K., Fisher-Hobson, E., Butler, B., King, K., White, D. A. E., & Anderson, E. S. (2020) · The American Journal of Emergency Medicine · doi:10.1016/j.ajem.2020.09.053 · Cited by 29
Wang, F., Shu, X., Pal, T., Berlin, J., Nguyen, S. M., Zheng, W., Bailey, C. E., & Shu, X. (2022) · Cancers · doi:10.3390/cancers14143390 · Cited by 29
Yu, X., & Ren, X. (2023) · BMC Public Health · doi:10.1186/s12889-023-15885-4 · Cited by 28
Disparities in the prevalence of self-reported dysphagia and treatment among U.S. adults
Zheng, M., Zhou, S., Hur, K., Chambers, T. N., O'Dell, K. D., & Johns, M. M. E. (2022) · American Journal of Otolaryngology · doi:10.1016/j.amjoto.2022.103774 · Cited by 28
Prevalence ofTrichomonas vaginalisInfection Among US Males, 2013–2016
Daugherty, M. R., Glynn, K., & Byler, T. K. (2018) · Clinical Infectious Diseases · doi:10.1093/cid/ciy499 · Cited by 27
Fox, D. J., & Hanes, D. A. (2022) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2022.10.001 · Cited by 31
Broffman, L., Harrison, S. J., Zhao, M. Y., Goldman, A., Patnaik, I., & ZHOU, M. S. (2022) · Telemedicine Journal and e-Health · doi:10.1089/tmj.2022.0058 · Cited by 25
Schorpp, K., Volpe, V. V., & Neukrug, H. (2021) · American Journal of Public Health · doi:10.2105/ajph.2021.306455 · Cited by 29
Racial and Sex Disparities in Trauma Outcomes Based on Geographical Region
Duong, W. Q., Grigorian, A., Farzaneh, C. A., Nahmias, J. T., Chin, T. L., Schubl, S. D., Dolich, M. O., & Lekawa, M. E. (2020) · The American Surgeon · doi:10.1177/0003134820960063 · Cited by 23
Ethnicity and acute hospital admissions: Multi-center analysis of routine hospital data
Wan, Y. I., Robbins, A. J., Apea, V., Orkin, C. M., Pearse, R. M., Puthucheary, Z., & Prowle, J. R. (2021) · EClinicalMedicine · doi:10.1016/j.eclinm.2021.101077 · Cited by 23
Suicidal ideation during COVID-19: The contribution of unique and cumulative stressors
Rudenstine, S., Schulder, T., Bhatt, K. J., McNeal, K., Ettman, C. K., & Galea, S. (2022) · Psychiatry Research · doi:10.1016/j.psychres.2022.114475 · Cited by 23
Bishay, A. E., Hughes, N., Zargari, M., Paulo, D. L., Bishay, S., Lyons, A. T., Morkos, M. N., Ball, T., Englot, D. J., & Bick, S. K. B. (2024) · Stereotactic and Functional Neurosurgery · doi:10.1159/000538748 · Cited by 23
Lenz, A. S., & Li, C. (2021) · Measurement and Evaluation in Counseling and Development · doi:10.1080/07481756.2021.1906157 · Cited by 24
Upfill-Brown, A., Paisner, N. D., & Sassoon, A. A. (2022) · Archives of Orthopaedic and Trauma Surgery · doi:10.1007/s00402-022-04485-3 · Cited by 22
Hur, Y. Y., Jin, F., Li, X., Cheng, Y. M., & Hu, Y. J. (2022) · Information Systems Research · doi:10.1287/isre.2022.1189 · Cited by 22
Goicoechea, S., Walsh, M., Soult, M. C., Halandras, P. M., Bechara, C. F., Aulivola, B., & Crisostomo, P. R. (2021) · Journal of Vascular Surgery · doi:10.1016/j.jvs.2021.10.034 · Cited by 21
Yue, D., Pourat, N., Essien, E. A., Chen, X., Zhou, W., & O’Masta, B. (2022) · Health Services Research · doi:10.1111/1475-6773.14009 · Cited by 21
Difficulties in accessing health services among the elderly in the city of São Paulo-Brazil
Oliveira, E. C. T., Louvison, M. C. P., Teixeira, D. S. D. C., de Menezes, T. N., Rosa, T. E. D. C., & Duarte, Y. A. D. O. (2022) · PLoS ONE · doi:10.1371/journal.pone.0268519 · Cited by 21
Zvolensky, M. J., Rogers, A. H., Mayorga, N. A., Shepherd, J. M., Bakhshaie, J., Garza, M., Viana, A. G., Ochoa-Perez, M., Lemaire, C., Ruiz, A., et al. (2022) · Transcultural Psychiatry · doi:10.1177/13634615211038159 · Cited by 22
“5%) report any physician office visit within a given year (Manuel, 2018).”
BackgroundRacial and Gender Disparities in Diagnosis of Malingering in Clinical Settings
Udoetuk, S. C., Dongarwar, D., & Salihu, H. M. (2020) · Journal of Racial and Ethnic Health Disparities · doi:10.1007/s40615-020-00734-6 · Cited by 20
Mukherjee, V., Toth, A. T., FENIANOS, M., Martell, S., Karpel, H. C., Postelnicu, R., Bhatt, A., Deshwal, H., Kreiger-Benson, E., Brill, K., et al. (2020) · Critical Care Explorations · doi:10.1097/cce.0000000000000188 · Cited by 20
Zhou, W.-L., & Yue, Y.-Y. (2022) · International Journal of Public Health · doi:10.3389/ijph.2022.1605021 · Cited by 20
Vargas, J. H., & Peet, J. Z. (2024) · Journal of Social Issues · doi:10.1111/josi.12604 · Cited by 20
Sex Differences Among Participants in the Latin American Stroke Registry
Araúz, A., Serrano, F., Ameriso, S. F., Lereis, V. P., Flores, A., Bayona, H., Fernández-Morales, H., Castillo, A., Ecos, R., Vazquez, J. C., et al. (2020) · Journal of the American Heart Association · doi:10.1161/jaha.119.013903 · Cited by 20
Algorithmic gender bias: investigating perceptions of discrimination in automated decision-making
Kim, S., Oh, P., & Lee, J. (2024) · Behaviour and Information Technology · doi:10.1080/0144929x.2024.2306484 · Cited by 23
Murray, R., Cruz‐Cano, R., Nasko, D. J., Blythe, D., Ryan, P., Boyle, M. M., Wilson, S., & Sapkota, A. R. (2020) · Environmental Research · doi:10.1016/j.envres.2020.109773 · Cited by 19
Overcoming barriers and enhancing facilitators to COVID-19 vaccination in the Hispanic community
Moore, R. A., Rojo, M. O., Purvis, R. S., Marin, L. P., Yáñez, J., Reece, S., Wells, C., Vaughn, B., & McElfish, P. A. (2022) · BMC Public Health · doi:10.1186/s12889-022-14825-y · Cited by 21
Insurance coverage change and survivorship care among young adult survivors of childhood cancer
Mobley, E. M., Kim, S. E., Cousineau, M. R., Tsui, J., Miller, K. A., Tobin, J. L., Freyer, D. R., & Milam, J. E. (2021) · Health Services Research · doi:10.1111/1475-6773.13868 · Cited by 18
Lee, Y., Woods, C., Shelley, M., Arndt, S. V., Liu, C., & Chang, Y. (2023) · International Journal of Mental Health and Addiction · doi:10.1007/s11469-023-01084-0 · Cited by 18
Black and hispanic patients with movement disorders less likely to undergo deep brain stimulation
Dorritie, A., Faysel, M. A., Gruessner, A. C., & Robakis, D. (2023) · Parkinsonism & Related Disorders · doi:10.1016/j.parkreldis.2023.105811 · Cited by 18
Joseph, J. J., Williams, A., Azap, R. A., Zhao, S., Brock, G. N., Kline, D., Odei, J. B., Foraker, R. E., Sims, M., Brewer, L. C., et al. (2023) · Journal of the American Heart Association · doi:10.1161/jaha.123.030695 · Cited by 18
Ayares, G., Díaz, L. A., Fuentes–López, E., Idalsoaga, F. J., Cotter, T. G., Dunn, W., Simonetto, D. A., Shah, V. H., Kamath, P. S., Lazarus, J. V., et al. (2024) · Liver International · doi:10.1111/liv.16023 · Cited by 18
Cyprich, J., Pangal, D. J., Rutkowski, M. J., Donoho, D. A., Shiroishi, M. S., Liu, C. J., Carmichael, J. D., & Zada, G. (2020) · Journal of neurosurgery · doi:10.3171/2019.12.jns192506 · Cited by 18
“Democratizing AI” and the Concern of Algorithmic Injustice
Lin, T.-A. (2024) · Philosophy & Technology · doi:10.1007/s13347-024-00792-2 · Cited by 22
Panisch, L. S., Baiden, P., Findley, E., Jahan, N., & LaBrenz, C. A. (2021) · Journal of Asthma · doi:10.1080/02770903.2021.1910296 · Cited by 17
Chan, K. S., Gaskin, D. J., McCleary, R. R., & Thorpe, R. J. (2019) · Journal of Health Care for the Poor and Underserved · doi:10.1353/hpu.2019.0069 · Cited by 17
Lacson, J. C. A., Doyle, S. H., Rio, J. D., Forgas, S. M., Carvajal, R., González-Calderón, G., Feliciano, A. R., Kim, Y., Roetzheim, R. G., Sutton, S. K., et al. (2022) · Cancer Research Communications · doi:10.1158/2767-9764.crc-21-0114 · Cited by 17
Racial, Ethnic, and Gender Diversity in United States Ophthalmology Clinical Trials
Montazeri, F., Wang, M. C., Atkuru, A., Estrada, M. M., Liu, Y., & Emami-Naeini, P. (2023) · Ophthalmology Science · doi:10.1016/j.xops.2023.100402 · Cited by 16
Demographics Predict Stage III/IV Colorectal Cancer in Individuals Under Age 50
Fass, O. Z., Poels, K. E., Qian, Y., Zhong, J., & Liang, P. S. (2020) · Journal of Clinical Gastroenterology · doi:10.1097/mcg.0000000000001374 · Cited by 16
Health Disparities in Environmental and Occupational Lung Disease
Brigham, E. P., Allbright, K., & Harris, D. A. (2020) · Clinics in Chest Medicine · doi:10.1016/j.ccm.2020.08.009 · Cited by 17
Pereira, C., LaRoche, A., Arredondo, B. C., Pugh, E., Disbrow, E. A., Reekes, T. H., Brickell, E. E., Boettcher, A. C., & Sawyer, R. J. (2021) · The Clinical Neuropsychologist · doi:10.1080/13854046.2021.1951844 · Cited by 16
Impact of the COVID‐19 Pandemic on Diabetes‐Related Cardiovascular Mortality in the United States
Bashar, H., Kobo, O. M., Khunti, K. K., Sun, L. Y., Rutter, M. K., Chew, N., Curzen, N. P., & Mamas, M. A. (2023) · Journal of the American Heart Association · doi:10.1161/jaha.122.028896 · Cited by 15
Myers, K., Jaffe, T., Kanda, D. A., Pankratz, V. S., Tawfik, B., Wu, E., McClain, M. E., Mishra, S. I., Kano, M. A., Madhivanan, P., et al. (2022) · Frontiers in Oncology · doi:10.3389/fonc.2022.841951 · Cited by 15
Paisner, N. D., Upfill-Brown, A. M., Donnelly, P. C., De, A., & Sassoon, A. A. (2022) · The Journal of Arthroplasty · doi:10.1016/j.arth.2022.09.023 · Cited by 15
Chan, K. S., Parikh, M. A., Thorpe, R. J., & Gaskin, D. J. (2019) · Journal of Racial and Ethnic Health Disparities · doi:10.1007/s40615-019-00682-w · Cited by 15
Metadata
- Authors
- Manuel, J. I.
- Affiliations
- New York University (US)
- Corresponding author
- Manuel, Jennifer I.
- ORCID
- Manuel, Jennifer I.
- Venue
- Health Services Research
- Publisher
- Wiley
- Published
- 2017-05-08
- Volume
- 53
- Issue
- 3
- Pages
- 1407-1429
- ISSN
- 0017-9124 (ISSN-L)
- 1475-6773
- PMC
- PMC5980371
- OpenAlex
- W2614015444
- Cited by
- 378
- References
- 54
- Citations by year
- 2026: 17 · 2025: 45 · 2024: 55 · 2023: 70 · 2022: 83 · 2021: 53 · 2020: 35 · 2019: 14 · 2018: 6
- FWCI
- 27.02
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Health Services Research (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institute on Drug Abuse (K01DA035330)
- Topics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Healthcare Policy and Management
- Social Sciences › Health › Health disparities and outcomes
- Social Sciences › Health › Public Health and Social Inequalities
- Keywords
- racial and ethnic disparities, gender disparities, health care access, health care utilization, unmet medical needs, Affordable Care Act, health care reform, Hispanic Americans, African Americans, Asian Americans, office visits, vulnerable populations
- MeSH terms
- Adult, Black or African American, Ethnicity, Female, Health Services Accessibility, Health Services Research, Health Status, Hispanic or Latino, Humans, Male, Mental Health, Middle Aged, Patient Acceptance of Health Care, Sex Factors, Socioeconomic Factors, United States, Patient-Centered Care, White People, Racial Groups, Patient Protection and Affordable Care Act
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review