Examining Wage Disparities by Race and Ethnicity of Health Care Workers.
Ontology highlight
ABSTRACT: Background
Prior studies demonstrated that wage disparities exist across race and ethnicity within selected health care occupations. Wage disparities may negatively affect the industry's ability to recruit and retain a diverse workforce throughout the career ladder.Objective
To determine whether wage disparities by race and ethnicity persist across health care occupations and whether disparities vary across the skill spectrum.Research design
Retrospective analysis of 2011-2018 data from the Current Population Survey using Blinder-Oaxaca decomposition regression methods to identify sources of variation in wage disparities. Separate models were run for 9 health care occupations.Subjects
Employed individuals 18 and older working in health care occupations, categorized by race/ethnicity.Measures
Annual wages were predicted as a function of race/ethnicity, age, sex, marital status, having a child under 5 in the household, living in a metro area, highest education attained, and usual hours worked.Results
Non-Hispanics consistently made more than Hispanic licensed practical/vocational nurses (LPNs/LVNs), aides/assistants, technicians, and community-based workers. Asian/Pacific Islanders consistently made more than Black, American Indian/Alaska Native, and Multiracial individuals across occupations except physicians, advanced practitioners, or therapists. Asian/Pacific Islanders only made significantly less when compared with White physicians, but more than White advanced practitioners, registered nurses, LPNs/LVNs, and aides/assistants. Based on observed attributes, Black registered nurses, LPNs/LVNs, and aides/assistants were predicted to make more than their White peers, but unexplained variation negated these gains.Conclusions
Many wage gaps remained unexplained based on measured factors warranting further study. Addressing wage disparities is critical to advance in careers and reduce job turnover.
SUBMITTER: Frogner BK
PROVIDER: S-EPMC8428860 | biostudies-literature |
REPOSITORIES: biostudies-literature
Similar Datasets
Project description:BackgroundThe minimum wage creates both winners (through wage increases) and-potentially-losers (through job losses). Research on the health effects of minimum wage policies has been sparse, particularly across gender and among racial/ethnic minorities. We test the impact of minimum wage increases on health outcomes, health behaviors and access to healthcare across gender and race/ethnicity.MethodsUsing 1993-2014 data from the Behavioral Risk Factor Surveillance System, variables for access to healthcare (insurance coverage, missed care due to cost), health behavior (exercise, fruit, vegetable and alcohol consumption) and health outcomes (self-reported fair/poor health, hypertension, poor physical health days, poor mental health days, unhealthy days) were regressed on the product of the ratio of the 1-year lagged minimum wage to the state median wage and the national median wage, using Linear Probability Models and Poisson Regression Models for dichotomous and count outcomes, respectively. Regressions (total population, gender-stratified, race/ethnicity stratified (white, black, Latino), gender/race/ethnicity stratified and total population with interaction terms for race/ethnicity/gender) controlled for state-level ecologic variables, individual-level demographics and fixed-effects (state and year). Results were adjusted for complex survey design and Bonferroni corrections were applied to p-values such that the level of statistical significance for a given outcome category was 0.05 divided by the number of outcomes in that category.ResultsMinimum wage increases were positively associated with access to care among white men, black women and Latino women but negatively associated with access to care among white women and black men. With respect to dietary quality, minimum wage increases were associated with improvements, mixed results and negative impacts among white, Latino and black men, respectively. With respect to health outcomes, minimum wage increases were associated with positive, negative and mixed impacts among white women, white men and Latino men, respectively.ConclusionsWhile there is enthusiasm for minimum wage increases in the public health community, such increases may have to be paired with deliberate strategies to protect workers that might be vulnerable to economic dislocation. Such strategies may include more robust unemployment insurance or increased access to job training for displaced workers.
| S-EPMC6686560 | biostudies-literature
Project description:Despite remarkable educational gains of minorities, ethnoracial wage inequality persists and has even expanded among highly educated workers. Conventional explanations for this inequality are primarily derived from comparing workers across different educational levels and are less salient for understanding inequalities within the highly educated workforce. This study examines a previously overlooked source of ethnoracial inequality among highly educated workers: vertical mismatch between workers' educational level and the education requirements for their occupation. Using a longitudinal sample of college graduates from the Survey of Income and Program Participation, we find that vertical mismatch accounts for a large part of racial/ethnic and nativity wage inequality. Specifically, highly educated minorities (especially blacks and Hispanics) and immigrants (especially those holding a foreign degree) are disproportionately channeled into mismatched jobs and subsequently consigned to such positions. Also, highly educated Hispanics and Asians, as well as foreign-educated immigrants, face greater wage penalties of vertical mismatch. The findings offer new insights into a key source of ethnoracial and nativity stratification.
| S-EPMC8502953 | biostudies-literature
Project description:ImportanceAccess to COVID-19 testing is critical to reducing transmission and supporting early treatment decisions; when made accessible, the timeliness of testing may also be an important metric in mitigating community spread of the infection. While disparities in transmission and outcomes of COVID-19 have been well documented, the extent of timeliness of testing and the association with demographic factors is unclear.ObjectivesTo evaluate demographic factors associated with delayed COVID-19 testing among health care personnel (HCP) during the COVID-19 pandemic.Design, setting, and participantsThis cross-sectional study used data from the Preventing Emerging Infections Through Vaccine Effectiveness Testing study, a multicenter, test-negative, case-control vaccine effectiveness study that enrolled HCP who had COVID-19 symptoms and testing between December 2020 and April 2022. Data analysis was conducted from March 2022 to Junne 2023.ExposureDisplaying COVID-19-like symptoms and polymerase chain reaction testing occurring from the first day symptoms occurred up to 14 days after symptoms occurred.Main outcomes and measuresVariables of interest included patient demographics (sex, age, and clinical comorbidities) and COVID-19 characteristics (vaccination status and COVID-19 wave). The primary outcome was time from symptom onset to COVID-19 testing, which was defined as early testing (≤2 days) or delayed testing (≥3 days). Associations of demographic characteristics with delayed testing were measured while adjusting for clinical comorbidities, COVID-19 characteristics, and test site using multivariable modeling to estimate relative risks and 95% CIs.ResultsA total of 5551 HCP (4859 female [82.9%]; 1954 aged 25-34 years [35.2%]; 4233 non-Hispanic White [76.3%], 370 non-Hispanic Black [6.7%], and 324 non-Hispanic Asian [5.8%]) were included in the final analysis. Overall, 2060 participants (37.1%) reported delayed testing and 3491 (62.9%) reported early testing. Compared with non-Hispanic White HCP, delayed testing was higher among non-Hispanic Black HCP (adjusted risk ratio, 1.18; 95%CI, 1.10-1.27) and for non-Hispanic HCP of other races (adjusted risk ratio, 1.17; 95% CI, 1.03-1.33). Sex and age were not associated with delayed testing. Compared with clinical HCP with graduate degrees, all other professional and educational groups had significantly delayed testing.Conclusions and relevanceIn this cross-sectional study of HCP, compared with non-Hispanic White HCP and clinical HCP with graduate degrees, non-Hispanic Black HCP, non-Hispanic HCP of other races, and HCP all other professional and education backgrounds were more likely to have delayed COVID-19 testing. These findings suggest that time to testing may serve as a valuable metric in evaluating sociodemographic disparities in the response to COVID-19 and future health mitigation strategies.
| S-EPMC11007575 | biostudies-literature
Project description:BackgroundDementia is often underdiagnosed and this problem is more common among some ethnoracial groups.ObjectiveThe objective of this study was to examine racial and ethnic disparities in the timeliness of receiving a clinical diagnosis of dementia.Research designThis was a prospective cohort study.SubjectsA total of 3966 participants age 70 years and above with probable dementia in the Health and Retirement Study, linked with their Medicare and Medicaid claims.MeasuresWe performed logistic regression to compare the likelihood of having a missed or delayed dementia diagnosis in claims by race/ethnicity. We analyzed dementia severity, measured by cognition and daily function, at the time of a dementia diagnosis documented in claims, and estimated average dementia diagnosis delay, by race/ethnicity.ResultsA higher proportion of non-Hispanic Blacks and Hispanics had a missed/delayed clinical dementia diagnosis compared with non-Hispanic Whites (46% and 54% vs. 41%, P<0.001). Fully adjusted logistic regression results suggested more frequent missed/delayed dementia diagnoses among non-Hispanic Blacks (odds ratio=1.12; 95% confidence interval: 0.91-1.38) and Hispanics (odds ratio=1.58; 95% confidence interval: 1.20-2.07). Non-Hispanic Blacks and Hispanics had a poorer cognitive function and more functional limitations than non-Hispanic Whites around the time of receiving a claims-based dementia diagnosis. The estimated mean diagnosis delay was 34.6 months for non-Hispanic Blacks and 43.8 months for Hispanics, compared with 31.2 months for non-Hispanic Whites.ConclusionsNon-Hispanic Blacks and Hispanics may experience a missed or delayed diagnosis of dementia more often and have longer diagnosis delays. When diagnosed, non-Hispanic Blacks and Hispanics may have more advanced dementia. Public health efforts should prioritize racial and ethnic underrepresented communities when promoting early diagnosis of dementia.
| S-EPMC8263486 | biostudies-literature
Project description:ImportanceRacial/ethnic disparities in health care use and clinical outcomes for behavioral health disorders, including psychosis, are well documented, but less is known about these disparities during the period leading up to first-episode psychosis (FEP).ObjectiveTo describe the racial/ethnic disparities in behavioral health care use and prescription drug use of children and young adults before the diagnosis of FEP.Design, setting, and participantsAn observational cohort study was conducted using medical and prescription drug claims from January 1, 2007, to September 30, 2015, obtained from Optum's deidentified Clinformatics Data Mart Database, a commercial claims database augmented with race/ethnicity and socioeconomic variables. Data analysis was performed from February 6, 2018, to October 10, 2020. First-episode psychosis was determined by the presence of psychosis diagnoses on claims for at least 1 hospitalization or 2 outpatient events, with a continuous enrollment requirement of at least 2 years before the first diagnosis. Participants included 3017 Black, Hispanic, or White patients who were continually enrolled in commercial insurance plans and received an FEP diagnosis between the ages of 10 and 21 years.Main outcomes and measuresRace/ethnicity was determined from a commercial claims database. Rates of inpatient admission, emergency department presentation, and outpatient visits (including psychotherapy), behavioral health disorder diagnoses, and antipsychotic/antidepressant prescription fills were determined for the year before FEP. Race/ethnicity was also obtained from Optum's claims database. With use of multivariable logistic regression, results were adjusted for covariates including estimated household income, age, sex, and geographic division in the US.ResultsOf the 3017 patients with FEP, 643 Black or Hispanic patients (343 [53.3%] Black, 300 [46.7%] Hispanic, 324 [50.4%] male, mean [SD] age, 17.2 [2.76] years) were less likely than 2374 White patients (1210 [51.0%] male, mean age, 17.0 [2.72] years) to receive comorbid behavioral health disorder diagnoses in the year before the diagnosis of FEP (410 [63.8%] vs 1806 [76.1%], χ2 = 39.3; P < .001). Except for emergency care, behavioral health care use rates were lower in Black and Hispanic patients vs White patients (424 [65.9%] vs 1868 [78.7%]; χ2 = 45.0; P < .001), particularly for outpatient visits with behavioral health care professionals (232 [36.1%] vs 1236 [52.1%]; χ2 = 51.7; P < .001). After adjustment for socioeconomic covariates, behavioral health care use rates (68.9% vs 79.2%; P < .001), outpatient visits with behavioral health professionals (37.7% vs 51.2%; P < .001), and other outcomes remained significantly lower for Black and Hispanic patients vs White patients.Conclusions and relevanceThe results of this study extend existing research findings of well-known racial/ethnic disparities in the population of patients who are diagnosed with FEP. These differences were apparent in young patients with continuous commercial health insurance and after controlling for household income. Providing equal access to preventive outpatient behavioral health care may increase opportunities for timely detection of psychotic symptoms and early intervention and improve differential outcomes after FEP.
| S-EPMC7758828 | biostudies-literature
Project description:Among the U.S. health care workforce, the COVID-19 pandemic appeared to greatly impact employment levels in 2020. However, no research has examined how the pandemic's impact on employment varied by racial/ethnic group or beyond the initial emergency year. Our study aimed to quantitatively evaluate workforce trends by race/ethnicity before, during, and after the COVID-19 pandemic. This study analyzed each March supplement of the Current Population Survey over a 5-year span (2018-2022). We restricted the sample to nurses, physician assistants, and other non-physician health care workers (HCW), per specific census occupation codes, and constructed an event-history study to test for differential effects from each year, as compared to 2019, on the proportion of employment between non-Hispanic White, non-Hispanic Black, Hispanic, non-Hispanic Native (American Indian, Alaska Native, Hawaiian Islander), and non-Hispanic Asian HCW. Results suggest that the pandemic's negative impact on the health care workforce disproportionately reduced employment for HCW self-identifying as Black or Indigenous. Rates for other groups increased 2-3 percentage points in 2020 but returned to prepandemic levels by 2022. However, for Black and Native HCW, the change was twice as large in 2021 and remained significantly higher in 2022 for Black HCW, providing more evidence that the burden of the COVID-19 pandemic disproportionately fell on people of color. Future research investigating how employment disruptions impacted the health care workforce and, potentially, health equity remains warranted.
| S-EPMC10358973 | biostudies-literature
Project description:ImportanceHealth care disparities are well-documented among children based on race, ethnicity, and language for care. An agenda that outlines research priorities for disparities in pediatric emergency care (PEC) is lacking.ObjectiveTo investigate research priorities for disparities in PEC among medical personnel, researchers, and health care-affiliated community organizations.Design, setting, and participantsIn this survey study, a modified Delphi approach was used to investigate research priorities for disparities in PEC. An initial list of research priorities was developed by a group of experienced PEC investigators in 2021. Partners iteratively assessed the list through 2 rounds of electronic surveys using Likert-type responses in late 2021 and early 2022. Priorities were defined as achieving consensus if they received a score of highest priority or priority by at least 60% of respondents. Asynchronous engagement of participants via online web-conferencing platforms and email correspondence with electronic survey administration was used. Partners were individuals and groups involved in PEC. Participants represented interest groups, research and medical personnel organizations, health care partners, and laypersons with roles in community and family hospital advisory councils. Participants were largely from the US, with input from international PEC research networks.OutcomeConsensus agenda of research priorities to identify and address health care disparities in PEC.ResultsPEC investigators generated an initial list of 27 potential priorities. Surveys were completed by 38 of 47 partners (80.6%) and 30 of 38 partners (81.1%) in rounds 1 and 2, respectively. Among 30 respondents who completed both rounds, there were 7 family or community partners and 23 medical or research partners, including 4 international PEC research networks. A total of 12 research priorities achieved the predetermined consensus threshold: (1) systematic efforts to reduce disparities; (2) race, ethnicity, and language data collection and reporting; (3) recognizing and mitigating clinician implicit bias; (4) mental health disparities; (5) social determinants of health; (6) language and literacy; (7) acute pain-management disparities; (8) quality of care equity metrics; (9) shared decision-making; (10) patient experience; (11) triage and acuity score assignment; and (12) inclusive research participation.Conclusions and relevanceThese results suggest a research priority agenda that may be used as a guide for investigators, research networks, organizations, and funding agencies to engage in and support high-priority disparities research topics in PEC.
| S-EPMC10644218 | biostudies-literature
Project description:ObjectiveSexual and gender minority (SGM) adolescents report elevated risk for psychopathology. Identifying as a racial/ethnic minority and sexual minority (SM) or gender minority (GM) may lead to greater stress/discrimination and psychopathology. We examined nonsuicidal self-injury, suicide ideation, and suicide attempts (i.e., self-injurious thoughts and behaviors [SITBs]) and depressive symptoms across intersections of sexual orientation, gender, and race/ethnicity.MethodStudy participants consisted of a large (n = 2,948; 59% GM) sample of adolescents aged 14-18 who were recruited online to complete a cross-sectional survey. SGM status, race/ethnicity, and their interactions were used to predict depressive symptoms and SITBs. Associations among race/ethnicity and GM-specific psychosocial factors were assessed.ResultsSM (B = 3.75) and GM (B = 8.81) participants reported higher depressive symptoms and SITB histories (odds ratios [ORs] from 1.92 to 2.43 and 2.87 to 5.44, respectively). Asian participants were less likely to report nonsuicidal self-injury (OR = 0.45), and Latinx participants were more likely to report suicide attempts (OR = 1.50). Although omnibus tests of interactions were largely insignificant, exploratory analyses revealed fewer depressive symptoms (B = -8.40) and SITBs (ORs from -0.95 to -2.05) among Black SM participants and, at times, Black GM participants. This protective effect may relate to lower self-reported expectations of rejection due to gender.ConclusionsGM participants reported the highest risk for depressive symptoms and SITBs. Contrary to hypotheses, multiple minority identification was not associated with greater psychopathology. Future research, assessing specific sexual and gender identities across diverse samples, is needed to highlight how race affects psychopathology risk across these identities. (PsycInfo Database Record (c) 2020 APA, all rights reserved).
| S-EPMC7148198 | biostudies-literature
Project description:Purpose Telehealth may remain an integral part of cancer survivorship care after the SARS-CoV-2 pandemic. While telehealth may reduce travel/waiting times and costs for many patients, it may also create new barriers that could exacerbate care disparities in historically underserved populations, manifesting as differences in overall care participation, and in differential video versus phone use for telehealth. Methods We reviewed visits by cancer survivors between January and December 2020 at a designated cancer center in Minnesota. We used descriptive statistics, data visualization, and generalized estimating equation logistic regression models to compare visit modalities and trends over time by age, urban/rural status, and race/ethnicity. Results Among 159,301 visits, including 33,242 telehealth visits, older and rural-dwelling individuals were underrepresented in telehealth compared with in-person care. Non-Hispanic White individuals, those aged 18–69 years, and urban residents used video for > 50% of their telehealth visits. In contrast, those aged ≥ 70 years, rural residents, and most patient groups of color used video for only 33–43% of their telehealth visits. Video use increased with time for everyone, but relative differences in telehealth modalities persisted. Visits of Black/African American patients temporarily fell in spring/summer 2020. Conclusions Our findings underscore reduced uptake of telehealth, especially video, among potentially vulnerable patient populations. Future research should evaluate reasons for differential telehealth utilization and whether visit modality (in-person versus video versus phone) affects cancer outcomes. Implications for Cancer Survivors A long-term cancer care model with integrated telehealth elements needs to account for specific barriers for vulnerable populations. Supplementary Information The online version contains supplementary material available at 10.1007/s11764-021-01133-4.
| S-EPMC8605776 | biostudies-literature
Project description:ImportanceThe COVID-19 pandemic led to unprecedented disruptions in health care. Little is known about whether health care access and preventive health screenings among US adults have recovered to prepandemic levels, and how patterns varied by race and ethnicity.ObjectiveTo evaluate health care access and preventive health screenings among eligible US adults in 2021 and 2022 compared with prepandemic year 2019, overall and by race and ethnicity.Design, setting, and participantsThis cross-sectional study used data from US adults aged 18 years or older who participated in the National Health Interview Survey in 2021 and 2022. Survey weights provided by the National Health Interview Survey were used to generate nationally representative estimates. Data were analyzed from May 23 to November 13, 2023.Main outcomes and measuresMeasures of health care access included the proportion of adults with a usual place for care, those with a wellness visit, and those who delayed or did not receive medical care due to cost within the past year. Preventive health screening measures included eligible adults who received blood pressure, cholesterol, or blood glucose screening within the past year (2021), as well as colorectal, cervical, breast, and prostate cancer screenings based on US Preventive Services Task Force guidelines.ResultsThe unweighted study population included 89 130 US adults. The weighted population included 51.6% females; 16.8% Hispanic, 5.9% non-Hispanic Asian (hereafter, Asian), 11.8% non-Hispanic Black (hereafter, Black), 62.8% non-Hispanic White (hereafter, White) individuals; and 2.9% individuals of other races and ethnicities (including American Indian, Alaska Native, Native Hawaiian or other Pacific Islander, or multiracial). After adjusting for age and sex, having a usual place for health care did not differ among adults in 2021 or 2022 vs 2019 (adjusted rate ratio [ARR] for each year, 1.00; 95% CI, 0.99-1.01). However, fewer participants had wellness visits in 2022 compared with 2019 (ARR, 0.98; 95% CI, 0.97-0.99), with the most pronounced decline among Asian adults (ARR, 0.95; 95% CI, 0.92-0.98). In addition, adults were less likely to delay medical care (ARR, 0.79; 95% CI, 0.73-0.87) or to not receive care (ARR, 0.76; 95% CI, 0.69-0.83) due to cost in 2022 vs 2019. Preventive health screenings in 2021 remained below 2019 levels (blood pressure: ARR, 0.95 [95% CI, 0.94-0.96]; blood glucose: ARR, 0.95 [95% CI, 0.93-0.96]; and cholesterol: ARR, 0.93 [95% CI, 0.92-0.94]). Eligible adults were also significantly less likely to receive colorectal cancer screening (ARR, 0.88; 95% CI, 0.81-0.94), cervical cancer screening (ARR, 0.86; 95% CI, 0.83-0.89), breast cancer screening (ARR, 0.93; 95% CI, 0.90-0.97), and prostate cancer screening (ARR, 0.86 [0.78-0.94]) in 2021 vs 2019. Asian adults experienced the largest relative decreases across most preventive screenings, while Black and Hispanic adults experienced large declines in colorectal cancer screening (ARR, 0.78; 95% CI, 0.67-0.91) and breast cancer screening (ARR, 0.83; 95% CI, 0.75-0.91), respectively. Differences in preventive screening rates across years persisted after additional adjustment for socioeconomic factors (income, employment status, and insurance coverage).Conclusions and relevanceResults of this cohort study suggest that, in the US, wellness visits and preventive health screenings have not returned to prepandemic levels. These findings support the need for public health efforts to increase the use of preventive health screenings among eligible US adults.
| S-EPMC10837752 | biostudies-literature