| Literature DB >> 33876506 |
Abstract
OBJECTIVES: To explore factors associated with the impact of COVID-19 on the Latinx population, a Scoping Review of literature was undertaken.Entities:
Keywords: COVID-19; Hispanic; Latinx; health disparities
Mesh:
Year: 2021 PMID: 33876506 PMCID: PMC8251024 DOI: 10.1111/phn.12912
Source DB: PubMed Journal: Public Health Nurs ISSN: 0737-1209 Impact factor: 1.770
FIGURE 1PRISMA ScR flow of literature search results (Moher et al., 2009)
Keywords and terms for systematic scoping literature review conducted November 2020
| Terms/MeSH terms | Number Returned | Number selected for review |
|---|---|---|
| PubMed Searches | ||
| Hispanic Americans AND COVID | 111 | 60 |
| Hispanic Americans AND Communicable Disease | 61 | 8 |
| Hispanic Americans AND Infectious Disease | 71 | 5 |
| Hispanic Americans AND COVID AND HIV | 8 | 0 |
| Latinx AND COVID | 53 | 0 |
| Latinx AND Communicable Disease | 21 | 0 |
| Latinx AND Infectious Disease | 34 | 0 |
| Latinx AND COVID AND HIV | 9 | 0 |
| CINAHL Search | ||
| Hispanic Americans AND COVID AND English AND Academic Journals | 36 | 5 |
| APA PsycInfo Search | ||
| Hispanic Americans AND COVID | 0 | 0 |
None selected related to all potential manuscripts identified during prior searches.
Literature review table
| Author/Date Title | Purpose | Sample/Study Description | Methods/Design | Limitations | Results |
|---|---|---|---|---|---|
| Carethers ( | Identify reasons and risk factors for disparities in morbidity and mortality from COVID19 | Review of existing literature at the time of authorship directed at the exploration of issues that might explain the distribution of COVID‐19 infection in the United States and risk of serious illness from COVID‐19. | Review | Date of review as publications and information is rapidly evolving. |
4 major risk factors: Age, comorbidities, male gender, race/ethnicity Increased risk: greengrocery deserts, Medicaid as health insurance, medical disability, SES, education level, race, "essential workers", size of home, # in household, multigenerational households, public transportation. No identified genetic, ABO, or immunologic predisposition. |
| Cates et al. ( | Compare the risk of death from all causes in hospitalized patients with COVID19 versus Influenza. |
VHA and Corporate Data Warehouse 3,948 hospitalized patients with COVID‐19 5,453 hospitalized patients with influenza Data collected: age, sex, race/ethnicity, ICD10 diagnosis codes, hospital admission, discharge dates, problem list records from at least 14 days prior to specimen collection date, ICU care admission, and death date if applicable. | Retrospective EHR Records Review | ICD Codes may lack sensitivity and misclassify chronic as acute, obesity was based on ICD‐10 codes and not BMI, clinician ordered testing could potentially underestimate complications, small sample size of “non‐Hispanic other” race, influenza vaccinations, and treatment for COVID‐19 were not examined, generalizability may be limited by circulating influenza strain. |
33 acute complications identified. Hospitalized patients with COVID19: > 5 times higher risk of in‐hospital death and increased risk for 17 respiratory and non‐respiratory complications than did hospitalized patients with influenza. Risks of sepsis and respiratory, neurologic, and renal complications of COVID‐19: higher among Hispanic/Latinx patients than among NHW patients. |
| Chamie et al. ( | Identify transmission rate and risk factors for transmission |
Conducted over 4 days in a largely Latinx census tract (022,901) in San Francisco Convenience sample of 3,953 persons with tests performed (out of 5,174 possible residents) 40% Latinx; 41% white; 9% Asian/Pacific Islander; 2% Black |
Community‐Based Assessment Cross‐Sectional Design | PCR and antibody testing sensitivity and reliability, selection bias is possible, self‐reported symptoms, and survey responses. |
40% Latinx; 41% white; 9% Asian/Pacific Islander; 2% Black Overall 2.1% of the total sample were PCR positive ‐ 95% of the positive results were Latinx. Risk factors for recent infections: Latinx ethnicity, inability to shelter in place and maintain income, frontline service work, unemployment, household income <$50,000/year. Five SARS‐CoV‐2 phylogenetic lineages were detected. |
| Figueroa et al. ( | To determine the demographic, economic, and occupational factors contributed to disparities in COVID‐19 incidence rates | 351 Massachusetts cities and towns from January 1‐May 6, 2020. | Cross‐sectional study | Discrepancies in how race/ethnicity, occupation, COVID‐19 cases, death rates are recorded in datasets. Done in a single state. Underlying comorbidities not explored. |
10 percentage point increase in Hispanic/Latinx population was associated with an increase of 258.2 cases per 100,000 population. Independent predictors of higher COVID‐19 rates: proportion of foreign‐born non‐citizens living in a community, mean household size, and prevalence of food service workers in the population. |
| Galanis et al. ( | Determine seroprevalence of SARS‐CoV‐2 in HCWs and determine factors associated with seropositivity | 49 studies which included 127,480 healthcare workers (HCWs) |
Systematic Review Meta‐analysis | 14 of 49 studies were published as pre‐prints, heterogeneity between results was very high, seroprevalence in the studies could be impacted by the type of testing completed, factors associated with seroprevalence required a qualitative approach to assess factors. |
Antibodies among HCWs overall were considered high at 8.7%. Seroprevalence higher in North American studies (12.7%), versus studies in Europe (8.5%), Africa (8.2%), and Asia (4%). Factors associated with seropositivity: male gender, race (Black, Asian, Hispanic), work in a COVID‐19 unit, patient‐related work, frontline HCWs, health care assistant role, PPE shortage, self‐reported previous SARS‐CoV‐2 infection, previous positive PCR test, household contact with suspected or confirmed COVID‐19 patient. |
| Holtgrave et al. ( | To determine the most impactful area for intervention to decrease disparities for NHW, AA/Black non‐Hispanic, and Hispanic/Latinx adults in NY state. |
Hospitalized NY COVID‐19 patients, NY State COVID‐19 hospitalization and death record archives Described each continuum using overall percentages, fatality rates, and relative changes between stages, with comparisons between race and ethnicity using risk ratios |
Retrospective Cohort Study Creation of an Outcomes Continuum utilizing data from: CDC, NY State Dept of Health, NYC Depart of Health | Race/ethnicity categorizations are limited in some datasets. Continuum developed in a single state, at one point in time, with available data. Findings are not age‐adjusted. Pandemic is rapidly evolving. |
COVID‐19 fatality rates estimated per population: 0.03% white, 0.18% AA/Black, 0.12% Hispanic/Latinx. Community variance between: NHW and Hispanic/Latinx 3.48 fold disparity difference in infection experience. |
| Izzy et al. ( |
To determine the factors associated with a disparity in COVID‐19 |
5,190 COVID‐19 positive patients evaluated at 12 hospitals within Mass General Brigham Hospital System Hospitalized patients: 29% Required ICU: 33% Deceased: 4.3% Race of COVID‐19 positive patients: NHW 2,404 (46%) Latinx 1,309 (25%) AA/Black 719 (14%) Asian 177 (3%) | Retrospective EHR Review | From a single health system, may underrepresent non‐hospitalized COVID‐19 positive patients. |
Hospitalized patients (1,489% –28.6%) were likely to be male 56% (versus. female 42%); Older (median 62 versus. 47 not hospt); Obese; More CV and pulmonary risk factors. Most common were HTN, hyperlipidemia, DM, COPD. Mortality higher in hospitalized than non‐hospitalized Race: 2,404 (46%) NHW, 1,309 (25%) Latinx, 719 (14%) AA/Black,177 Asian Latinx were more likely to be admitted, were hospitalized younger, disproportionally required ICU admission compared to NHW patients. SES correlated to hospitalization rates. Disparity is multifactorial (less healthcare insurance, access, presenting later in dz, higher comorbidity, lower SES.) |
| Macias Gil et al. ( | Describe the emerging disproportionate impact of COVID‐19 on the Hispanic/Latinx community in the United States. |
Identify potential antecedents. Consider strategies to address the disparate impact of COVID‐19 on this population. | Review | Completed early in the U.S. pandemic (May, 2020). |
19.8% of Hispanics uninsured as of 2018 compared to 5.4% of NHW. Lowest rates of medical health insurance coverage of all racial/ethnic groups in the United States. Issues identified: Immigration status – mistrust of health and social institutions, language barriers, work conditions, financial burden, living conditions. |
| Mahajan et al. ( | Describe seroprevalence of SARS‐CoV‐2 IgG antibodies in a representative sample of CT residents to determine the need for continued adherence to risk mitigation strategies. |
567 respondents/ participants, Connecticut residents, Intentional oversampling of Hispanic and Black residents related to weighted seroprevalence concerns. | Representative Sample Study | Single state utilized, early in the pandemic, seroprevalence could be impacted by the type of testing completed |
567 respondents; 53% women; 75% NHW; 23 positive for SARS‐CoV‐2‐specific antibodies resulted in seroprevalence of 4.0% (90% confidence interval). The vast majority of CT residents lack SARS‐CoV‐2 antibodies. Weighted seroprevalence for oversampled non‐Hispanic Black 6.4% (90% CI0.9–11–9) and Hispanic 19.9% (90% CI 13.2–26.6). Majority of participants reported the following risk mitigation strategies: 73% avoided public places, 75% avoided gatherings of families and friends, 97% wore a facemask at least part of the time. |
| Meyerowitz et al. ( | To evaluate risk factors, clinical manifestations, and outcomes in a large cohort of PLWH with COVID‐19. |
Systematically identified all persons living with HIV (PLWH) who were diagnosed with COVID‐19 at a large hospital system from March 3‐April 26, 2020. Sample: 47 PLWH ‐ 36 PLWH with confirmed COVID‐19 and 11 with probable COVID‐19 |
Retrospective EHR Review Analyzed demographics, medical comorbidities, clinical presentation, illness course after COVID‐19 diagnosis | From a single health system in one state, seroprevalence could be impacted by testing limitations. |
85% of PLWH with confirmed COVID‐19 had comorbidity associated with severe disease, including obesity, CVD, HTN. 77% of PLWH with COVID‐19 were non‐Hispanic Black or Latinx, whereas only 40% of PLWH in the clinic were Black or Latinx. Nearly half of PLWH with COVID‐19 had exposure to congregate settings. |
| Mithal et al. ( | To evaluate characteristics and risks of infants as it relates to COVID‐19 infection. |
171 infants less than 90 days of age who had positive nasopharyngeal PCR testing for SARS‐CoV‐2 at a Children's Hospital in Chicago, IL, between April 11 and May 12, 2020. 18 Infants aged 10–88 days tested COVID‐19 positive (15 in ED and 3 outpatient). | Retrospective EHR Review | Single hospital system, early in the pandemic. |
171 infants tested, 18 infants aged 10–88 days tested positive (15 in ED and 3 outpatient). 78% of infants who tested positive were Latinx. 50% (9/18) were admitted to the inpatient, none required ICU. None required respiratory support. |
| Rentsch et al. ( | Evaluate the association between race/ethnicity and COVID‐19 testing/results |
5,834,543 persons receiving care through the VHA nationwide Total Tested: 254,595 COVID Positive: 16,317 Deaths: 1,057 | Retrospective EHR cohort study | Conducted in the VHA – patients generally older and male. Unable to explore social determinants by race/ethnicity due to EHR limitations. Conducted during the early timeframe of pandemic when testing was less readily available. |
Results: 254,595 tests; 16,317 tested positive; 1,057 deaths. No difference in mortality by ethnicity. Likelihood of testing: Black 60.0/1000 Hispanic/Latinx 52.7/1000 NHW 38.6/1000 Positive tests (odds ratio compared to NHW): Black1.93 Hispanic/Latinx 1.84 Increased positivity rates for Hispanic/Latinx were stable over region, time, and outbreak pattern. |
| Sachdev et al. ( | To determine if PLWH are more susceptible to and experience more severe disease/outcomes of COVID‐19. |
SF Department of Public Health (SFDPH) testing database and SFDPH HIV surveillance Sample: 4,252 COVID‐19 tests performed among PLWH | Retrospective review | Single city utilized and completed within the first six months of the pandemic. |
4.5% ( Mean age of those co‐infected with both HIV and COVID‐19 was 48 years (20–76); 38.9% NHW, 38.3% Latinx, 11.9% Black; 91.2% male. 54.6% of PLWH and COVID‐19 were housed, with the remainder marginally housed. Housing status significant factor for co‐infection. The rate of severe illness with COVID‐19 in PLWH was not increased. |
| Selden and Berdahl ( | To determine explanations for racial/ethnic disparities in COVID‐19 hospitalizations and mortality. | Pooled data from 2014–2017 yielding 100,064 persons year observations on adults aged 18 yrs and older. |
Review of Medical Expenditure Panel Survey (MEPS) Augmented with American Time Use Survey (2017–2018) to determine work behaviors/industries | Examined only community housed non‐institutionalized populations. Health risks were based upon self‐report. Employment data reflect occupation before COVID‐19. Did not address outcomes, overall hospital course of illness, overall quality of care. |
Disparities seen with COVID‐19 multifactorial: Income, education, health insurance, access to medical care, access to food, health status, job characteristics, living conditions. Risk for infection: Work exposure Household transmission Community contact Differences in Illness severity: Comorbidities Large racial/ethnic differences in employment and household composition that might contribute to infection. AA/Black more likely than NHW to work in healthcare, public safety, and public utility jobs. Hispanic more likely than NHW to work in food‐related jobs, and Black and Hispanic less likely to be able to work from home than NHW. |
| Tai et al. ( |
To explore the disparities seen in COVID‐19 through social determinants of health lens. | Creation of a model to assist with understanding disparities seen in COVID‐19: Social determinants of health, social injustice, environmental factors, host factors | Review and Theoretical Construct | Completed early in pandemic |
Poverty in United States prior to COVID 24% Native Americans 22% AA/Black 19% Latinx 9% whites COVID‐19 disparities through social determinants of health lens 33.8% of COVID in U.S. Latinx (18% of the population), 21.8% AA/Black (13% of the population) Contributing factors: Comorbidities (access to prevention, healthcare) Housing (Redlining, overcrowding) Mistrust of health institutions (delay in care) |
| Tirupathi et al. ( | To analyze racial disparities in COVID‐19 cases in the United States and discuss possible reasons behind the inequities. | Sample drawn from Dept of Health website, Publicly available data from NYC and 16 states, and case counts. | Cross‐sectional analysis records review | Race/ethnicity data limited for some datasets including death case counts. Datasets from 16 states and NYC. Data is from early in the pandemic. | Incidence rates were higher among Hispanic/Latinx disproportionately when compared to their representation in the total population. |