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DeAngelis RT. Racial Capitalism and Black-White Health Inequities in the United States: The Case of the 2008 Financial Crisis. JOURNAL OF HEALTH AND SOCIAL BEHAVIOR 2024:221465241260103. [PMID: 39077803 DOI: 10.1177/00221465241260103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/31/2024]
Abstract
Scholars cite racist political-economic systems as drivers of health inequities in the United States (i.e., racial capitalism). But how does racial capitalism generate health inequities? I address this open question within the historical context of predatory lending during the 2008 financial crisis. Relevant hypotheses are tested with multiple waves of data from Black and White participants of the National Longitudinal Study of Adolescent to Adult Health (N = 8,877). Across socioeconomic strata, I find that Black participants report higher rates of foreclosure, eviction, repossession, delinquent bills, lost income, and new debts in the wake of the financial crisis. Using structural equation and quasi-experimental models, I then show that Black participants also self-report rapid health declines and increases in prescription drug abuse throughout this period, much of which is explained by chronic financial stress. I conclude that racial capitalism can generate health inequities by ensnaring Black Americans in a toxic web of financial exploitation and stress proliferation.
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Marme G, Kuzma J, Zimmerman PA, Harris N, Rutherford S. Investigating socio-ecological factors influencing implementation of tuberculosis infection prevention and control in rural Papua New Guinea. J Public Health (Oxf) 2024; 46:267-276. [PMID: 38326281 DOI: 10.1093/pubmed/fdae018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2023] [Revised: 12/04/2023] [Accepted: 01/17/2024] [Indexed: 02/09/2024] Open
Abstract
BACKGROUND Tuberculosis (TB) is a highly transmissible infectious disease killing millions of people yearly, particularly in low-income countries. TB is most likely to be transmitted in healthcare settings with poor infection control practices. Implementing TB infection prevention and control (TB-IPC) is pivotal to preventing TB transmission in healthcare settings. This study investigated diverse stakeholders' perspectives relating to barriers and strategies for TB-IPC in rural hospitals in Papua New Guinea. METHODS Multiple qualitative case studies were conducted with 32 key stakeholders with experience in TB services. Data collection drew on three primary sources to triangulate data: semi-structured interviews, document reviews and field notes. The data were analyzed using hybrid deductive-inductive thematic analysis. RESULTS Our results reveal that key stakeholders perceive multiple interdependent factors that affect TB-IPC practice. The key emerging themes include strategic planning for and prioritizing TB-IPC guidelines; governance, leadership and accountability at the provincial level; community attitudes towards TB control; institutional capacity to deliver TB care, healthcare workers' safety, and long-term partnership and integration of TB-IPC programmes into the broad IPC programme. CONCLUSIONS The evidence suggests that a multi-perspective approach is crucial for TB-IPC guidelines in healthcare institutions. Interventions focusing on addressing health systems strengthening may improve the implementation of TB-IPC guidelines.
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Affiliation(s)
- Gigil Marme
- School of Medicine & Dentistry (Public Health), Griffith University, Gold Coast, QLD 4215, Australia
| | - Jerzy Kuzma
- Department of Medicine, Divine Word University, Madang Province 511, Papua New Guinea
| | - Peta-Anne Zimmerman
- Graduate Infection Prevention and Control Program, School of Nursing and Midwifery, Griffith University, Gold Coast, QLD 4215, Australia
| | - Neil Harris
- Higher Degree Research, Health Group, School of Medicine and Dentistry (Public Health), Griffith University, Gold Coast, QLD 4215, Australia
| | - Shannon Rutherford
- School of Medicine & Dentistry (Public Health), Griffith University, Gold Coast, QLD 4215, Australia
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Riley T, Enquobahrie DA, Callegari LS, Hajat A. Structural gendered racism and preterm birth inequities in the United States. Soc Sci Med 2024; 348:116793. [PMID: 38547809 DOI: 10.1016/j.socscimed.2024.116793] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2023] [Revised: 03/12/2024] [Accepted: 03/13/2024] [Indexed: 04/29/2024]
Abstract
Structural gendered racism - the "totality of interconnectedness between structural racism and sexism" - is conceptualized as a fundamental cause of the persistent preterm birth inequities experienced by Black and Indigenous people in the United States. Our objective was to develop a state-level latent class measure of structural gendered racism and examine its association with preterm birth among all singleton live births in the US in 2019. Using previously-validated inequity indicators between White men and Black women across 9 domains (education, employment, poverty, homeownership, health insurance, segregation, voting, political representation, incarceration), we conducted a latent profile analysis to identify a latent categorical variable with k number of classes that have similar values on the observed continuous input variables. Racialized group-stratified multilevel modified Poisson regression models with robust variance and random effects for state assessed the association between state-level classes and preterm birth. We found four distinct latent classes that were all characterized by higher levels of disadvantage for Black women and advantages for White men, but the magnitude of that difference varied by latent class. We found preterm birth risk among Black birthing people was higher across all state-level latent classes compared to White birthing people, and there was some variation of preterm birth risk across classes among Black but not White birthing people. These findings further emphasize the importance of understanding and interrogating the whole system and the need for multifaceted policy solutions.
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Affiliation(s)
- Taylor Riley
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA.
| | - Daniel A Enquobahrie
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA; Department of Health Systems and Population Health, School of Public Health, University of Washington, Seattle, WA, USA
| | - Lisa S Callegari
- Department of Obstetrics and Gynecology, School of Medicine, University of Washington, Seattle, WA, USA; Department of Health Systems and Population Health, School of Public Health, University of Washington, Seattle, WA, USA; Health Systems Research, Department of Veterans Affairs Puget Sound Health Care System, Seattle, WA, USA
| | - Anjum Hajat
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA
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DuMont K. Commentary for Special Issue on Advancing Health Equity Among Black Communities: Implications for Research Funders (and Researchers). PREVENTION SCIENCE : THE OFFICIAL JOURNAL OF THE SOCIETY FOR PREVENTION RESEARCH 2024; 25:119-125. [PMID: 38190044 PMCID: PMC11196317 DOI: 10.1007/s11121-023-01636-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/28/2023] [Indexed: 01/09/2024]
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Trentham-Dietz A, Corley DA, Del Vecchio NJ, Greenlee RT, Haas JS, Hubbard RA, Hughes AE, Kim JJ, Kobrin S, Li CI, Meza R, Neslund-Dudas CM, Tiro JA. Data gaps and opportunities for modeling cancer health equity. J Natl Cancer Inst Monogr 2023; 2023:246-254. [PMID: 37947335 PMCID: PMC11009506 DOI: 10.1093/jncimonographs/lgad025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2023] [Revised: 07/12/2023] [Accepted: 08/15/2023] [Indexed: 11/12/2023] Open
Abstract
Population models of cancer reflect the overall US population by drawing on numerous existing data resources for parameter inputs and calibration targets. Models require data inputs that are appropriately representative, collected in a harmonized manner, have minimal missing or inaccurate values, and reflect adequate sample sizes. Data resource priorities for population modeling to support cancer health equity include increasing the availability of data that 1) arise from uninsured and underinsured individuals and those traditionally not included in health-care delivery studies, 2) reflect relevant exposures for groups historically and intentionally excluded across the full cancer control continuum, 3) disaggregate categories (race, ethnicity, socioeconomic status, gender, sexual orientation, etc.) and their intersections that conceal important variation in health outcomes, 4) identify specific populations of interest in clinical databases whose health outcomes have been understudied, 5) enhance health records through expanded data elements and linkage with other data types (eg, patient surveys, provider and/or facility level information, neighborhood data), 6) decrease missing and misclassified data from historically underrecognized populations, and 7) capture potential measures or effects of systemic racism and corresponding intervenable targets for change.
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Affiliation(s)
- Amy Trentham-Dietz
- Department of Population Health Sciences and Carbone Cancer Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Douglas A Corley
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Natalie J Del Vecchio
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | | | - Jennifer S Haas
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Rebecca A Hubbard
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Amy E Hughes
- Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Jane J Kim
- Department of Health Policy and Management, Center for Health Decision Science, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Sarah Kobrin
- Healthcare Delivery Research Program, Division of Cancer Control & Population Sciences, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Christopher I Li
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Rafael Meza
- Department of Integrative Oncology, British Columbia (BC) Cancer Research Institute, Vancouver, BC, Canada
| | | | - Jasmin A Tiro
- Department of Public Health Sciences, University of Chicago Biological Sciences Division, and University of Chicago Medicine Comprehensive Cancer Center, Chicago, IL, USA
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Lewis CL, Yan A, Williams MY, Apen LV, Crawford CL, Morse L, Valdez AM, Alexander GR, Grant E, Valderama-Wallace C, Beatty D. Health equity: A concept analysis. Nurs Outlook 2023; 71:102032. [PMID: 37683597 DOI: 10.1016/j.outlook.2023.102032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Revised: 07/28/2023] [Accepted: 08/09/2023] [Indexed: 09/10/2023]
Abstract
BACKGROUND Although health equity is critically important for healthcare delivery, there are inconsistencies in its definitions or lack of definitions. PURPOSE Develop a comprehensive understanding of health equity to guide nursing practice and healthcare policy. METHOD Walker and Avant's concept analysis method was used to establish defining attributes, antecedents, consequences, and empirical referents of health equity. FINDINGS Health equity defining attributes are grounded in ethical principles, the absence of unfair and avoidable differences, and fair and just opportunities to attain a person's full health potential. Health equity antecedents are categorized into environmental; financial or economic; law, politics, and policy; societal and structural; research; and digital and technology. DISCUSSION Health equity's antecedents are useful to distinguish health disparities from health outcomes resulting from individual preferences. To achieve health equity, organizations need to focus on addressing the antecedents.
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Affiliation(s)
- Chrystal L Lewis
- Department of Research and Health Equity, Stanford Health Care, Menlo Park, CA.
| | - Alice Yan
- Department of Research and Health Equity, Stanford Health Care, Menlo Park, CA
| | - Michelle Y Williams
- Department of Research and Health Equity, Stanford Health Care, Menlo Park, CA; Division of Primary Care and Population Health and Nursing Research Section, Department of Medicine, Stanford University School of Medicine, Palo Alto, CA
| | - Lynette V Apen
- Department of Research and Health Equity, Stanford Health Care, Menlo Park, CA
| | - Cecelia L Crawford
- Department of Research and Health Equity, Stanford Health Care, Menlo Park, CA
| | - Lisa Morse
- Department of Research and Health Equity, Stanford Health Care, Menlo Park, CA
| | - Anna M Valdez
- Department of Nursing, Sonoma State University, Rohnert Park, CA
| | - G Rumay Alexander
- School of Nursing, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | | | | | - Dale Beatty
- Executive Administration, Stanford Health Care, Palo Alto, CA
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LANTZ PAULAM, GOLDBERG DANIELS, GOLLUST SARAHE. The Perils of Medicalization for Population Health and Health Equity. Milbank Q 2023; 101:61-82. [PMID: 37096631 PMCID: PMC10126964 DOI: 10.1111/1468-0009.12619] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Revised: 09/12/2022] [Accepted: 01/06/2023] [Indexed: 04/26/2023] Open
Abstract
Policy Points Medicalization is a historical process by which personal, behavioral, and social issues are increasingly viewed through a biomedical lens and "diagnosed and treated" as individual pathologies and problems by medical authorities. Medicalization in the United States has led to a conflation of "health" and "health care" and a confusion between individual social needs versus the social, political, and economic determinants of health. The essential and important work of population health science, public health practice, and health policy writ large is being thwarted by a medicalized view of health and an overemphasis on personal health services and the health care delivery system as the major focal point for addressing societal health issues and health inequality. Increased recognition of the negative consequences of a medicalized view of health is essential, with a focus on education and training of clinicians and health care managers, journalists, and policymakers.
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Affiliation(s)
- PAULA M. LANTZ
- Ford School of Public Policy and School of Public HealthUniversity of Michigan
| | | | - SARAH E. GOLLUST
- School of Public HealthCenter for the Study of Political Psychologyand Hubbard School of Journalism and Mass CommunicationUniversity of Minnesota
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