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Blaser C, Gautier L, Brousseau É, Auger N, Frohlich KL. Inequality in COVID-19 mortality in Quebec associated with neighbourhood-level vulnerability domains. CANADIAN JOURNAL OF PUBLIC HEALTH = REVUE CANADIENNE DE SANTE PUBLIQUE 2024; 115:53-66. [PMID: 38100050 PMCID: PMC10868572 DOI: 10.17269/s41997-023-00829-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Accepted: 10/24/2023] [Indexed: 02/09/2024]
Abstract
OBJECTIVES We measured disparities in COVID-19 mortality associated with increasing vulnerability to severe outcomes of infectious disease at the neighbourhood level to identify domains for prioritization of public interventions. METHODS In this retrospective ecological study, we calculated COVID-19 mortality rate ratios (RR) comparing neighbourhoods with the greatest vulnerability relative to lowest vulnerability using the five domains from the COVID-19 vulnerability index for Quebec using hospital data from the first year of the pandemic and vulnerability levels from 13,182 neighbourhoods. We estimated the attributable fraction to assess disparities in COVID-19 mortality associated with vulnerability. Domains covered biological susceptibility, sociocultural characteristics, socioeconomic characteristics, and indoor and outdoor risk factors for exposure to SARS-CoV-2. RESULTS Vulnerable neighbourhoods accounted for 60.7% of COVID-19 deaths between March 2020 and February 2021. Neighbourhoods with biological susceptibility accounted for 46.1% and indoor exposure for 44.6% of deaths. Neighbourhoods with socioeconomic vulnerability experienced 23.5%, outdoor exposure 14.6%, and sociocultural vulnerability 9.0% of deaths. Neighbourhoods with high relative vulnerability had 4.66 times greater risk of COVID-19 mortality compared with those with low vulnerability (95%CI 3.82-5.67). High vulnerability in the biological (RR 3.33; 95%CI 2.71-4.09), sociocultural (RR 1.50; 95%CI 1.27-1.77), socioeconomic (RR 2.08; 95%CI 1.75-2.48), and indoor (RR 3.21; 95%CI 2.74-3.76) exposure domains were associated with elevated risks of mortality compared with the least vulnerable neighbourhoods. Outdoor exposure was unassociated with mortality (RR 1.17; 95%CI 0.96-2.43). CONCLUSION Public intervention to protect vulnerable populations should be adapted to focus on domains most associated with COVID-19 mortality to ensure addressing local needs.
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Affiliation(s)
- Christine Blaser
- Department of Social and Preventive Medicine, School of Public Health, University of Montreal, Montréal, QC, Canada.
| | - Lara Gautier
- Department of Management, Evaluation and Health Policy, School of Public Health, University of Montreal, Montréal, QC, Canada
- Centre de recherche en santé publique (CReSP), Université de Montréal et CIUSSS du Centre-Sud-de-l'Île-de-Montréal, Montréal, QC, Canada
| | - Émilie Brousseau
- University of Montreal Hospital Research Centre, Montréal, QC, Canada
| | - Nathalie Auger
- Department of Social and Preventive Medicine, School of Public Health, University of Montreal, Montréal, QC, Canada
- University of Montreal Hospital Research Centre, Montréal, QC, Canada
- Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montréal, QC, Canada
| | - Katherine L Frohlich
- Department of Social and Preventive Medicine, School of Public Health, University of Montreal, Montréal, QC, Canada
- Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montréal, QC, Canada
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Brooks Carthon M, Muir J, Iroegbu C, Langston C, Amenyedor K, Nikpour J, Lasater KB, McHugh M, Kutney-Lee A. COVID-19 Mortality Disparities Among Socially Vulnerable Medicare Beneficiaries Associated With the Quality of Nurse Work Environments in U.S. Hospitals. INQUIRY : A JOURNAL OF MEDICAL CARE ORGANIZATION, PROVISION AND FINANCING 2024; 61:469580241284959. [PMID: 39323090 PMCID: PMC11430195 DOI: 10.1177/00469580241284959] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/27/2024]
Abstract
COVID-19 mortality disparities for socially vulnerable patients, including individuals facing higher levels of poverty, housing insecurity, and limited transportation, have been linked to the quality of hospitals where they received care. Few studies have examined the specific aspects of hospitals, such as nursing care quality, that may underlie disparate outcomes. Recent studies suggest that nursing resources in the pre-pandemic period were associated with mortality during the COVID-19 public health emergency. In this study, we examined the association between social vulnerability, the nurse work environment, and inpatient mortality among Medicare beneficiaries hospitalized with COVID-19. A cross-sectional analysis was conducted of linked survey data collected from nurses working in New York and Illinois, Medicare claims, American Hospital Association Annual Survey data, and the Social Vulnerability Index (SVI). Higher mortality rates were observed among patients in the highest quartile of social vulnerability compared to the lowest (6870 [25.8%] vs 5019 [19.1%]; P < .001). Using multivariable regression modeling, a statistically significant interaction was found between the highest SVI quartile and the nurse work environment (OR, 0.86; 95% CI, 0.76-0.98; P < .05), implying that the effect of a higher quality nurse work environment on mortality was decidedly greater for patients in the highest quartile (odds ratio = 0.86 × 0.94 = 0.80) compared to patients in the lowest quartile (OR, 0.94). Post-hoc analyses demonstrated that hundreds of COVID-19 related deaths among the most socially vulnerable patients may have been avoided if all hospitals had a high-quality nurse work environment. Strengthening the quality of nurse work environments may help to reduce health disparities and should be considered in public health emergency planning, specifically in hospitals serving socially vulnerable communities.
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Affiliation(s)
| | - Jane Muir
- University of Pennsylvania School of Nursing, Philadelphia, PA, USA
| | - Christin Iroegbu
- University of Pennsylvania School of Nursing, Philadelphia, PA, USA
| | | | - Kelvin Amenyedor
- University of Pennsylvania School of Nursing, Philadelphia, PA, USA
| | | | - Karen B Lasater
- University of Pennsylvania School of Nursing, Philadelphia, PA, USA
| | - Matthew McHugh
- University of Pennsylvania School of Nursing, Philadelphia, PA, USA
| | - Ann Kutney-Lee
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA
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Allgood KL, Whittington B, Xie Y, Hirschtick JL, Ro A, Orellana RC, Fleischer NL. Social vulnerability and new mobility disability among adults with polymerase chain reaction (PCR)-confirmed SARS-CoV-2: Michigan COVID-19 Recovery Surveillance Study. Prev Med 2023; 177:107719. [PMID: 37788721 DOI: 10.1016/j.ypmed.2023.107719] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Revised: 09/22/2023] [Accepted: 09/29/2023] [Indexed: 10/05/2023]
Abstract
OBJECTIVE Understanding the relationship between social factors and persistent COVID-19 health outcomes, such as onset of a disability after a SARS-CoV-2 (the virus that causes COVID-19) infection, is an increasingly important public health issue. The purpose of this paper is to examine associations between social vulnerability and new onset of a mobility disability post-COVID-19 diagnosis. METHODS We used data from the Michigan COVID-19 Recovery Surveillance Study, a population-based probability survey of adults with PCR-confirmed SARS-CoV-2 infection in Michigan between January 2020-May 2022 (n = 4295). We used the Minority Health Social Vulnerability Index (MHSVI), with high county-level social vulnerability defined at or above the 75th percentile. Mobility disability was defined as new difficulty walking or climbing stairs. We regressed mobility disability on the overall MHSVI, as well as sub-themes of the index (socioeconomic status, household composition/disability, minority and language, housing type, healthcare access, and medical vulnerability), using multivariable logistic regression, adjusting for age, race, sex, education, employment, and income. RESULTS Living in a county with high (vs. low) social vulnerability was associated with 1.38 times higher odds (95% confidence interval [CI]:1.18-1.61) of reporting a new mobility disability after a COVID-19 diagnosis after adjustment. Similar results were observed for the socioeconomic status and household composition/disability sub-themes. In contrast, residents of highly racially diverse counties had lower odds (odds ratio 0.74, 95% CI: 0.61, 0.89) of reporting a new mobility disability compared to low diversity counties. CONCLUSIONS Mitigating the effects of social vulnerabilities requires additional resources and attention to support affected individuals.
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Affiliation(s)
- Kristi L Allgood
- University of Michigan School of Public Health, Department of Epidemiology, Center for Social Epidemiology and Population Health. 1415 Washington Heights, 2649A, SPH Tower, Ann Arbor, MI 48109, USA; Texas A&M University School of Public Health, Department of Epidemiology & Biostatistics, USA.
| | - Blair Whittington
- University of Michigan School of Public Health, Department of Epidemiology, Center for Social Epidemiology and Population Health. 1415 Washington Heights, 2649A, SPH Tower, Ann Arbor, MI 48109, USA
| | - Yanmei Xie
- University of Michigan School of Public Health, Department of Epidemiology, Center for Social Epidemiology and Population Health. 1415 Washington Heights, 2649A, SPH Tower, Ann Arbor, MI 48109, USA
| | - Jana L Hirschtick
- University of Michigan School of Public Health, Department of Epidemiology, Center for Social Epidemiology and Population Health. 1415 Washington Heights, 2649A, SPH Tower, Ann Arbor, MI 48109, USA
| | - Annie Ro
- University of California - Irvine, Department of Health, Society, & Behavior. UCI Health Sciences Complex, 856 Health Sciences Quad, Suite 3600, Irvine, CA 92617, USA
| | - Robert C Orellana
- CDC Foundation, 600 Peachtree St NE #1000, Atlanta, GA 30308, USA; Bureau of Infectious Disease Prevention, Michigan Department of Health and Human Services, 333 S Grand Ave, P.O. Box 30195, Lansing, MI 48933, USA
| | - Nancy L Fleischer
- University of Michigan School of Public Health, Department of Epidemiology, Center for Social Epidemiology and Population Health. 1415 Washington Heights, 2649A, SPH Tower, Ann Arbor, MI 48109, USA
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Narayanasamy S, Veldman TH, Lee MJ, Glover WA, Tillekeratne LG, Neighbors CE, Harper B, Raghavan V, Kennedy SW, Carper M, Denny T, Tsalik EL, Reller ME, Kibbe WA, Corbie G, Cohen-Wolkowiez M, Woods CW, Petti CA. RADx-UP Testing Core: Access to COVID-19 Diagnostics in Community-Engaged Research with Underserved Populations. J Clin Microbiol 2023; 61:e0036723. [PMID: 37395655 PMCID: PMC10446854 DOI: 10.1128/jcm.00367-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/04/2023] Open
Abstract
Research on the COVID-19 pandemic revealed a disproportionate burden of COVID-19 infection and death among underserved populations and exposed low rates of SARS-CoV-2 testing in these communities. A landmark National Institutes of Health (NIH) funding initiative, the Rapid Acceleration of Diagnostics-Underserved Populations (RADx-UP) program, was developed to address the research gap in understanding the adoption of COVID-19 testing in underserved populations. This program is the single largest investment in health disparities and community-engaged research in the history of the NIH. The RADx-UP Testing Core (TC) provides community-based investigators with essential scientific expertise and guidance on COVID-19 diagnostics. This commentary describes the first 2 years of the TC's experience, highlighting the challenges faced and insights gained to safely and effectively deploy large-scale diagnostics for community-initiated research in underserved populations during a pandemic. The success of RADx-UP shows that community-based research to increase access and uptake of testing among underserved populations can be accomplished during a pandemic with tools, resources, and multidisciplinary expertise provided by a centralized testing-specific coordinating center. We developed adaptive tools to support individual testing strategies and frameworks for these diverse studies and ensured continuous monitoring of testing strategies and use of study data. In a rapidly evolving setting of tremendous uncertainty, the TC provided essential and real-time technical expertise to support safe, effective, and adaptive testing. The lessons learned go beyond this pandemic and can serve as a framework for rapid deployment of testing in response to future crises, especially when populations are affected inequitably.
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Affiliation(s)
- Shanti Narayanasamy
- Division of Infectious Diseases, Department of Medicine, Duke University, Durham, North Carolina, USA
- Hubert-Yeargan Center for Global Health, Duke University, Durham, North Carolina, USA
| | | | - Mark J. Lee
- Department of Pathology, School of Medicine, Duke University School of Medicine, Durham, North Carolina, USA
| | - William A. Glover
- North Carolina State Laboratory of Public Health, North Carolina Department of Health and Human Services, Raleigh, North Carolina, USA
| | - L. Gayani Tillekeratne
- Division of Infectious Diseases, Department of Medicine, Duke University, Durham, North Carolina, USA
| | - Coralei E. Neighbors
- Hubert-Yeargan Center for Global Health, Duke University, Durham, North Carolina, USA
| | - Barrie Harper
- Duke Clinical Research Institute, Duke University, Durham, North Carolina, USA
| | - Vidya Raghavan
- Duke Clinical Research Institute, Duke University, Durham, North Carolina, USA
| | - Scott W. Kennedy
- Duke Clinical Research Institute, Duke University, Durham, North Carolina, USA
| | - Miranda Carper
- Duke Human Vaccine Institute, Duke University, Durham, North Carolina, USA
| | - Thomas Denny
- Duke Human Vaccine Institute, Duke University, Durham, North Carolina, USA
| | - Ephraim L. Tsalik
- Division of Infectious Diseases, Department of Medicine, Duke University, Durham, North Carolina, USA
| | - Megan E. Reller
- Division of Infectious Diseases, Department of Medicine, Duke University, Durham, North Carolina, USA
| | - Warren A. Kibbe
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, North Carolina, USA
- Duke Cancer Institute, Duke University School of Medicine, Durham, North Carolina, USA
| | - Giselle Corbie
- Center for Health Equity Research, University of North Carolina, Chapel Hill, North Carolina, USA
- Department of Social Medicine and Department of Medicine, University of North Carolina, Chapel Hill, North Carolina, USA
- Department of Internal Medicine, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Michael Cohen-Wolkowiez
- Duke Clinical Research Institute, Duke University, Durham, North Carolina, USA
- Department of Pediatrics, Duke University School of Medicine, Durham, North Carolina, USA
| | - Christopher W. Woods
- Division of Infectious Diseases, Department of Medicine, Duke University, Durham, North Carolina, USA
- Hubert-Yeargan Center for Global Health, Duke University, Durham, North Carolina, USA
| | - Cathy A. Petti
- Division of Infectious Diseases, Department of Medicine, Duke University, Durham, North Carolina, USA
- Healthspring Global Inc., Bradenton, Florida, USA
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Apolonio JS, da Silva Júnior RT, Cuzzuol BR, Araújo GRL, Marques HS, Barcelos IDS, Santos LKDS, Malheiro LH, Lima de Souza Gonçalves V, Freire de Melo F. Syndemic aspects between COVID-19 pandemic and social inequalities. World J Methodol 2022; 12:350-364. [PMID: 36186746 PMCID: PMC9516541 DOI: 10.5662/wjm.v12.i5.350] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/20/2022] [Revised: 06/22/2022] [Accepted: 07/25/2022] [Indexed: 02/08/2023] Open
Abstract
Although the coronavirus disease 2019 (COVID-19) pandemic has reached all over the world population, it has demonstrated a heterogeneous impact on different populations. The most vulnerable communities which coexist daily with the social inequalities like low access to hygiene and personal protection products, crowded residences, and higher levels of chronic diseases have a higher risk of contact and the spread of infection, beyond unfavorable clinical outcomes. The elevation of the risk of infection exposure can be related to gender due to the presence of a larger contingent of women in essential services, as well as frontline and cleaning professionals who regardless of gender have the greatest exposure to the virus. Such exposures can contribute to the development of fear of contaminating themselves or their family members associated also with the work stress, both of which are related to the emergence of mental disturbances in these populations. Furthermore, conditions of unsanitary living and low socioeconomic status, populations at war, pre-existing social barriers, and ethnicity have contributed to more impact of the pandemic both in the exposure to the virus and access to health services, COVID-19 management, and management of other pathologies. At the same time, factors such as the closing of non-essential services, the loss of jobs, and the increase in household spending aggravated the social vulnerabilities and impacted the family economy. Lastly, the COVID-19 pandemic contributed still more to the impact on women's health since it propitiated a favorable environment for increasing domestic violence rates, through the segregation of women from social life, and increasing the time of the victims with their aggressors.
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Affiliation(s)
- Jonathan Santos Apolonio
- Universidade Federal da Bahia, Instituto Multidisciplinar em Saúde, Vitória da Conquista 45029-094, Bahia, Brazil
| | | | - Beatriz Rocha Cuzzuol
- Universidade Federal da Bahia, Instituto Multidisciplinar em Saúde, Vitória da Conquista 45029-094, Bahia, Brazil
| | - Glauber Rocha Lima Araújo
- Universidade Federal da Bahia, Instituto Multidisciplinar em Saúde, Vitória da Conquista 45029-094, Bahia, Brazil
| | - Hanna Santos Marques
- Universidade Estadual do Sudoeste da Bahia, Campus Vitória da Conquista, Vitória da Conquista 45083-900, Bahia, Brazil
| | - Isadora de Souza Barcelos
- Universidade Federal da Bahia, Instituto Multidisciplinar em Saúde, Vitória da Conquista 45029-094, Bahia, Brazil
| | - Luana Kauany de Sá Santos
- Universidade Federal da Bahia, Instituto Multidisciplinar em Saúde, Vitória da Conquista 45029-094, Bahia, Brazil
| | - Luciano Hasimoto Malheiro
- Universidade Federal da Bahia, Instituto Multidisciplinar em Saúde, Vitória da Conquista 45029-094, Bahia, Brazil
| | | | - Fabrício Freire de Melo
- Universidade Federal da Bahia, Instituto Multidisciplinar em Saúde, Vitória da Conquista 45029-094, Bahia, Brazil
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