Socioeconomic and Demographic Risk Factors for SARS-CoV-2 Seropositivity Among Healthcare Workers in a UK Hospital: A Prospective Cohort Study.

BACKGROUND: To protect healthcare workers (HCWs) from the consequences of disease due to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), it is necessary to understand the risk factors that drive exposure and infection within hospitals. Insufficient consideration of key socioeconomic variables is a limitation of existing studies that can lead to bias and residual confounding of proposed risk factors for infection. METHODS: The Co-STARs study prospectively enrolled 3679 HCWs between April 2020 and September 2020. We used multivariate logistic regression to comprehensively characterize the demographic, occupational, socioeconomic, and environmental risk factors for SARS-CoV-2 seropositivity. RESULTS: After adjusting for key confounders, relative household overcrowding (odds ratio [OR], 1.4 [95% confidence interval {CI}, 1.1-1.9]; P = .006), Black, Black British, Caribbean, or African ethnicity (OR, 1.7 [95% CI, 1.2-2.3]; P = .003), increasing age (ages 50-60 years: OR, 1.8 [95% CI, 1.3-2.4]; P < .001), lack of access to sick pay (OR, 1.8 [95% CI, 1.3-2.4]; P < .001). CONCLUSIONS: Socioeconomic and demographic factors outside the hospital were the main drivers of infection and exposure to SARS-CoV-2 during the first wave of the pandemic in an urban pediatric referral hospital. Overcrowding and out-of-hospital SARS-CoV-2 contact are less amenable to intervention. However, lack of access to sick pay among externally contracted staff is more easily rectifiable. Our findings suggest that providing easier access to sick pay would lead to a decrease in SARS-CoV-2 transmission and potentially that of other infectious diseases in hospital settings. CLINICAL TRIALS REGISTRATION: NCT04380896.

Socioeconomic inequalities in primary-care and specialist physician visits: a systematic review.

BACKGROUND: Utilization of primary-care and specialist physicians seems to be associated differently with socioeconomic status (SES). This review aims to summarize and compare the evidence on socioeconomic inequalities in consulting primary-care or specialist physicians in the general adult population in high-income countries. METHODS: We carried out a systematic search across the most relevant databases (Web of Science, Medline) and included all studies, published since 2004, reporting associations between SES and utilization of primary-care and/or specialist physicians. In total, 57 studies fulfilled the eligibility criteria. RESULTS: Many studies found socioeconomic inequalities in physician utilization, but inequalities were more pronounced in visiting specialists than primary-care physicians. The results of the studies varied strongly according to the operationalization of utilization, namely whether a physician was visited (probability) or how often a physician was visited (frequency). For probabilities of visiting primary-care physicians predominantly no association with SES was found, but frequencies of visits were higher in the most disadvantaged. The most disadvantaged often had lower probabilities of visiting specialists, but in many studies no link was found between the number of visits and SES. CONCLUSION: This systematic review emphasizes that inequalities to the detriment of the most deprived is primarily a problem in the probability of visiting specialist physicians. Healthcare policy should focus first off on effective access to specialist physicians in order to tackle inequalities in healthcare. PROSPERO REGISTRATION NUMBER: CRD42019123222 .

General practitioners in German metropolitan areas - distribution patterns and their relationship with area level measures of the socioeconomic status.

BACKGROUND: Geographical variation of the general practitioner (GP) workforce is known between rural and urban areas. However, data about the variation between and within urban areas are lacking. METHOD: We analyzed distribution patterns of GP full time equivalents (FTE) in German cities with a population size of more than 500,000. We correlated their distribution with area measures of social deprivation in order to analyze preferences within neighborhood characteristics. For this purpose, we developed two area measures of deprivation: Geodemographic Index (GDI) and Cultureeconomic Index (CEI). RESULTS: In total n = 9034.75 FTE were included in n = 14 cities with n = 171 districts. FTE were distributed equally on inter-city level (mean: 6.49; range: 5.12-7.20; SD: 0.51). However, on intra-city level, GP distribution was skewed (mean: 6.54; range: 1.80-43.98; SD: 3.62). Distribution patterns of FTE per 10^4 residents were significantly correlated with GDI (r = -0.49; p < 0.001) and CEI (r = -0.22; p = 0.005). Therefore, location choices of GPs were mainly positively correlated with 1) central location (r = -0.50; p < 0.001), 2) small household size of population (r = -0.50; p < 0.001) and 3) population density (r = 0.35; p < 0.001). CONCLUSION: Intra-city distribution of GPs was skewed, which could affect the equality of access for the urban population. Furthermore, health services planners should be aware of GP location preferences. This could be helpful to better understand and plan delivery of health services. Within this process the presented Geodemographic Index (GDI) could be of use.

Sickness benefit cuts mainly affect blue-collar workers.

AIMS: To analyse the impact of sick-pay cuts on the use of sickness absence by employees of different socioeconomic groups. In 2009 cuts in sick pay were implemented in reaction to an economic crisis in Estonia. METHODS: Nationwide health survey data from the years 2004, 2006, 2008, and 2010 were used to evaluate sickness absence among blue-collar and white-collar workers. The dataset comprised 7,449 employees of 20-64 years of age. Difference in prevalence of absentees before and after the reform was assessed using the chi-squared test. Odds ratios (OR) for sickness absence were calculated in a multivariate logistic regression model. RESULTS: After the reform, the proportion of blue-collar workers who had been on sick leave decreased from 51% to 40% (p<0.001) and among white-collar employees from 45% to 41% (p=0.026). This reduction had a similar pattern in all the subgroups of blue-collar employees as stratified according to gender, age, self-rated health, and presence of chronic disease, especially among those with low incomes; in white-collar employees it reached statistical significance only in those with good self-rated health (p=0.033). In a multivariate model the odds of having lower sickness absence were highly significant only in blue-collar employees (OR 0.63; 95% confidence interval 0.51-0.77, p<0.001). CONCLUSIONS: The cuts in sickness benefits had a major impact on the use of sickness absence by blue-collar employees with low salaries. This indicates that lower income was a major factor hindering the use of sick leave as these employees are most vulnerable to the loss of income.

The Impact of Patient Race, Patient Socioeconomic Status, and Cognitive Load of Physician Residents and Fellows on Chronic Pain Care Decisions.

Social stereotypes are more likely to influence decision-making under conditions of high cognitive load (ie, mental workload), such as in medical settings. We examined how patient race, patient socioeconomic status (SES), physician cognitive load, and physician implicit beliefs about race and SES differences in pain tolerance impacted physicians' pain treatment decisions. Physician residents and fellows (N = 120) made treatment decisions for 12 computer-simulated patients with back pain that varied by race (Black/White) and SES (low/high). Half of the physicians were randomized to be interrupted during the decision task to make hypertension medication conversion calculations (high cognitive load group), while the other half completed the task without interruptions (low cognitive load group). Both groups were given equal time to make pain care decisions (2.5 minutes/patient). Results of multilevel ordinal logistic regression analyses indicated that physicians prescribed weaker analgesics to patients with high vs. low SES (odds ratio = .68, 95% confidence interval [.48, .97], P = .03). There was also a patient SES-by-cognitive load interaction (odds ratio = .56, 95% confidence interval [.31, 1.01], P = .05) that is theoretically and potentially practically meaningful but was not statistically significant at P < .05. These findings shed light on physician cognitive load as a clinically-relevant factor in the context of pain care quality and equity. PERSPECTIVE: These findings highlight the clinical relevance of physician cognitive load (eg, mental workload) when providing pain care for diverse patients. This line of work can support the development of interventions to manage physician cognitive load and its impact on pain care, which may ultimately help reduce pain disparities.

Disparity in hematological malignancies: From patients to health care professionals.

In the recent few decades, outcomes in patients diagnosed with hematological malignancies have been steadily improving. However, the improved prognosis does not distribute equally among patients from different backgrounds. Besides cancer biology, demographic and geographic disparities have been found to impact overall survival significantly. Specifically, patients from underrepresented minorities including Black and Hispanics, and those with uninsured status, having low socioeconomic status, or from rural areas have had worse outcomes historically, which is uniformly true across all major subtypes of hematological malignancies. Similar discrepancy is also seen in the health care professional field, where a gender gap and a disproportionally low representation of health care providers from underrepresented minorities have been long existing. Thus, a comprehensive strategy to mitigate disparity in the health care system is needed to achieve equity in health care.

Neighborhood socioeconomic status and mortality in the nurses' health study (NHS) and the nurses' health study II (NHSII).

Few studies have prospectively examined long-term associations between neighborhood socioeconomic status (nSES) and mortality risk, independent of demographic and lifestyle risk factors. Methods: We assessed associations between nSES and all-cause, nonaccidental mortality among women in the Nurses' Health Study (NHS) 1986-2014 (N = 101,701) and Nurses' Health Study II (NHSII) 1989-2015 (N = 101,230). Mortality was ascertained from the National Death Index (NHS: 19,228 deaths; NHSII: 1556 deaths). Time-varying nSES was determined for the Census tract of each residential address. We used principal component analysis (PCA) to identify nSES variable groups. Multivariable Cox proportional hazards models were conditioned on age and calendar period and included time-varying demographic, lifestyle, and individual SES factors. Results: For NHS, hazard ratios (HRs) comparing the fifth to first nSES quintiles ranged from 0.89 (95% confidence interval [CI] = 0.84, 0.94) for percent of households receiving interest/dividends, to 1.11 (95% CI = 1.06, 1.17) for percent of households receiving public assistance income. In NHSII, HRs ranged from 0.72 (95% CI: 0.58, 0.88) for the percent of households receiving interest/dividends, to 1.27 (95% CI: 1.07, 1.49) for the proportion of households headed by a single female. PCA revealed three constructs: education/income, poverty/wealth, and racial composition. The racial composition construct was associated with mortality (HRNHS: 1.03; 95% CI = 1.01, 1.04). Conclusion: In two cohorts with extensive follow-up, individual nSES variables and PCA component scores were associated with mortality. nSES is an important population-level predictor of mortality, even among a cohort of women with little individual-level variability in SES.

Effect of Primary Care Center Characteristics, Healthcare Worker Vaccination Status and Patient Economic Setting on Patient Influenza Vaccination Coverage Rates.

BACKGROUND: Reaching the public health organizations targets of influenza vaccination in at-risk patient groups remains a challenge worldwide. Recognizing the relationship between the healthcare system characteristics and the economic environment of the population with vaccination uptake can be of great importance to improve. METHODS: Several characteristics were correlated in this retrospective ecological study with data from 6.8 million citizens, 15,812 healthcare workers across 258 primary care health centers, and average income by area of the care center in Spain. RESULTS: No correlation between HCW vaccination status and patient vaccination was found. A weak negative significant correlation between the size of the population the care center covers and their vaccination status did exist (6 mo.-59 yr., r = 0.19, p = 0.002; 60-64 yr., r = 0.23, p < 0.001; ≥65 yr., r = 0.23, p ≥ 0.001). The primary care centers with fewer HCWs had better uptake in the at-risk groups in the age groups of 60-64 yr. (r = 0.20, p = 0.002) and ≥65 (r = 0.023, p ≥ 0.001). A negative correlation was found regarding workload in the 6 mo.-59 yr. age group (r = 0.18, p = 0.004), which showed the at-risk groups that lived in the most economically deprived areas were more likely to be vaccinated. CONCLUSIONS: This study reveals that the confounding variables that determine influenza vaccination in a population and in HCWs are complex. Future influenza campaigns should address these especially considering the possibility of combining influenza and SARS-CoV-2 vaccines each year.

The Matthew Effect: Prevalence of Doctor and Physician Parents among Ophthalmology Applicants.

Objective This article determines the prevalence of physician parents among ophthalmology residency applications. Design Retrospective, single-center cohort study. Subjects All applicants to the University of Kentucky Ophthalmology Residency between 2018 and 2023. Methods Residency applications were reviewed, with data collection including applicant gender, self-identified Under-Represented in Medicine (URiM) status, United States Medical Licensing Examination (USMLE) Step 1 score, USMLE Step 2 score, and whether the application identified a doctor or physician as a parent. Doctor was defined as a profession requiring a doctorate degree, and similarly, physician as a profession requiring a medical degree. Results A total of 2,057 applications were reviewed, representing 54% of all match participants during the study period. Fourteen percent (296) of applications indicated a parent was a doctor and 12% (253) a parent was a physician. There were no differences between gender, URiM, USMLE Step 1, and Step 2 scores between applicants indicating a doctor or physician as a parent and those that did not ( p all > 0.4 and Cohen's d all < 0.02). Of the type of doctors, 85% (253) were physicians, 6% (17) optometrists, 6% (17) Doctors of Philosophy, 3% (8) dentists, 1% (1) pharmacist, and 1% (1) veterinarian. Eighty-six percent (217) of applications with a physician parent provided the type of physician, with ophthalmologist the most common (93, 43%). Ninety-eight percent (249) of applications with a physician parent provided the gender of the parent, with father (168, 68%) more common than mother (42, 17%) or both parents (39, 16%). Conclusion Physician parents are substantially overrepresented in ophthalmology residency applicants. This raises concerns regarding diversity and inclusion efforts for recruitment in medicine.

Making it work: How women negotiate labor market participation after the transition to motherhood.

The increasing participation of women in the labor market coexists with traditional gender roles and a social division of labor that reproduces the feminization of childcare and housework. Reconciling the contradictions between work and family life has become one of the greatest challenges of the contemporary female life course. In this article, I analyze the strategies through which women in Santiago de Chile negotiate their participation in the labor market after the transition to motherhood using qualitative data produced through 28 in-depth life story interviews. The findings confirm that married women from older age cohorts and middle socioeconomic status scale down paid work by working part-time, reducing their working hours, and finding more flexible and less demanding jobs that are closer to home. However, the findings also reveal that single women from younger age cohorts and lower socioeconomic status scale up on paid work by working full-time and finding jobs that are more demanding, involve longer workdays and provide better salaries and social benefits. These findings advance knowledge on the strategies through which women from different age cohorts and family and socioeconomic status negotiate paid work after becoming mothers and highlight the importance of taking a situated and intersectional approach to account for the particular ways in which women reconcile work and family life.

A wake-up call for social epidemiologists studying health inequalities: Response to Dijkstra & Horstman.

In their paper, published in this journal, Dijkstra & Horstman critically reflect on a selection of social epidemiological articles and examine how low socioeconomic status populations are constructed in these articles. They identify four components which they argue represent the "dominant thought style" of this literature: 1) proliferation, 2) generalization, 3) problematization and 4) individualization. We largely agree with their first two points, but strongly disagree with the other two, and explain why in our reply. All in all, we believe that their analysis is a wake-up call for social epidemiologists, rightly pointing to the risk that the relevance and moral origins of the use and study of categories, like 'low socioeconomic status', can easily become less visible, and therefore should be articulated and explained every time.

Determinants and disparities in access to paediatricians in Poland.

BACKGROUND: The purpose of this study was to identify the factors that determine the differences in the distribution and workload of paediatricians in Poland. This research, specific to conditions found within Poland, will help further advance knowledge in this area. Data were derived from the database of Statistics Poland. The level of convergence of the phenomenon studied was analysed. The paediatricians' accessibility index was ascertained and its spatial diversity examined. The level of correlation of patients treated per paediatrician was analysed in relation to indices of urbanisation, availability of paediatricians and disposable income. RESULTS: A moderate variation of patients treated per paediatrician was found and the conditional convergence of the investigated phenomenon observed. A close negative association between the number of patients treated and access to paediatricians (-0.686, p = 0.005) was revealed. CONCLUSIONS: The research suggests that socioeconomic factors may affect the uneven spatial distribution of the workload of paediatricians in Poland and cause differences between the provinces in the equal access to paediatricians. This research may thus provide implications for policy and practice as well as lead to a better understanding of the problem.

For the Commercially Insured, Equitable Health Benefits Begin With Equitable Health Insurance Design.

Equitable health benefit design is central to addressing the health inequities of individuals with commercial health insurance in the United States. To do so, employers and other plan sponsors must take action to identify and address unmet health and well-being priorities among racialized groups and low-income workers. These historically underrepresented subpopulations will also benefit from more equitable approaches to healthcare benefits design that recognize and meaningfully address access and affordability concerns. Targeted appropriately, these actions have the potential to foster greater employee engagement and productivity, leading to enhanced business performance.

Can Health Disparity Be Eliminated? The Role of Family Doctor Played in Shanghai, China.

Background: Globally, the elimination of health disparity is a significant policy target. Primary health care has been implemented as a strategy to achieve this target in China for almost 10 years. This study examined whether family doctor (FD) policy in Shanghai contributed to eliminating health disparity as expected. METHODS: System dynamics modeling was performed to construct and simulate a system of health disparity formation (business-as-usual (BAU) scenario, without any interventions), a system with FD intervention (FD scenario), and three other systems with supporting policies (Policy 1/Policy 2/Policy hybrid scenario) from 2013 to 2050. Health disparities were simulated in different scenarios, making it possible to compare the BAU results with those of FD intervention and with other policy interventions. FINDINGS: System dynamics models showed that the FD policy would play a positive role in reducing health disparities in the initial stage, and medical price control-rather than health management-was the dominant mechanism. However, in this model, the health gap was projected to expand again around 2039. The model examined the introduction of two intervention policies, with findings showing that the policy focused on socioeconomic status improvement would be more effective in reducing health disparities, suggesting that socioeconomic status is the fundamental cause of these disparities. CONCLUSIONS: The results indicate that health disparities could be optimized, but not eliminated, as long as differences in socioeconomic status persists.

Associations Between Physician Supply Levels and Amenable Mortality Rates: An Analysis of Taiwan Over Nearly 4 Decades.

Access to health care is an important determinant of health, but it remains unclear whether having more physicians reduces mortality. In this study, we used Taiwan's population-level National Death Certification Registry data to investigate whether a greater supply of physicians is associated with lower rates of amenable mortality, defined as deaths that can be delayed with appropriate and timely medical treatment. Our baseline regression analysis adjusting only for age and sex shows that an increase in the number of physicians per 1000 is associated with a reduction of 1.7 (P < .01) and 0.97 (P < .01) age-standardized deaths per 100 000 for men and women, respectively. However, in our full analyses that control for socioeconomic factors and Taiwan's health insurance expansion, we find that physician supply is no longer statistically associated with amenable mortality rates. Nevertheless, we found that greater physician supply levels are associated with a reduction in deaths from ischemic heart disease (-0.13 (P < .05) for men, and -0.066 (P < .05) for women). These findings suggest that overall, physician supply is not associated with amenable mortality rates after controlling for socioeconomic factors but may help reduce amenable mortality rates in specific causes of death.

Combined Effects of Race and Educational Attainment on Physician Visits Over 24 Years in a National Sample of Middle-Aged and Older Americans.

BACKGROUND: The literature on Minorities' Diminished Returns (MDRs) have shown worse than expected health of the members of racial and ethnic minority groups particularly Blacks. Theoretically, this effect can be in part due to weaker effects of educational attainment on preventive care and disease management in highly educated racial and ethnic minorities. OBJECTIVES: The current study explored the racial and ethnic differences in the effect of baseline educational attainment on % adherance to the routine physician visits among middle-aged and older adults in the US. METHODS: This is a prospective study with 24 years of follow up. The Health and Retirement Study (HRS: 1992-2016) included 10 880 middle-aged and older adults who were Hispanic, non-Hispanic, Black or White. The independent variable was educational attainment. The dependent variable was adherance to the routine physician visits (%). Age, gender, marital status, income, health behaviors (smoking and drinking) and health (depression, self-rated health, and chronic diseases) were the covariates. Race and ethnicity were the focal moderators. Linear regression was used for data analysis. RESULTS: Overall, higher educational attainment was associated with higher % of adherance to the routine physician visits over the course of follow-up, net of all confounders. Race showed a significant statistical interaction with educational attainment suggesting of a smaller effect of high education attainment on % adherance to the routine physician visits for Black than White middle-aged and older adults. A similar interaction could not be found for the comparison of Hispanic and non-Hispanic middle-aged and older adults. CONCLUSION: Educational attainment is associated with a larger increase in preventive and disease management doctor visits for White than Black middle-aged and older adults. This is a missed opportunity to improve the health of highly educated middle-aged and older adults. It is not race/ethnicity or class that shapes health behaviors but race/ethnicity and class that shape people's pro-health behaviors. At least some of the racial health disparities is not due to low SES but diminished returns of SES.

Depressed Women of Low Socioeconomic Status Have High Numbers of Physician Visits in the Year Before Pregnancy: Implications for Care.

BACKGROUND: There is a higher prevalence of depression in women of low socioeconomic status (SES) than other women. Further, previous depression is the best predictor of future depression. Therefore, due to the negative effects of maternal depression on the fetus and subsequent child, particularly in combination with low SES, depression is ideally treated before pregnancy. During the year before pregnancy and by SES, we aimed to assess the odds of a physician visit associated with maternal depression and the mean number of physician visits in women by depressive status. METHODS: We used population-based registry data of 243,933 women with 348,273 singleton live births in British Columbia from 1999 - 2009 and estimated family SES decile using tax-file data. Mixed effects logistic regression, adjusting for maternal age and parity, was used to calculate odds ratios and a two-sided, two-sample test was used to compare proportions. STATA 14 was used for analyses. RESULTS: Compared to women of middle SES (Decile-6), women of low SES (from Decile-1, Decile-2) had higher odds of more than 20 physician visits whether depressed (aOR = 1.46 (95% CI: (1.15, 1.86); aOR = 1.26 (95% CI: (0.98, 1.61)) or non-depressed (aOR = 1.26 (95% CI: (1.13, 1.41); aOR = 1.24 (95% CI: (1.11, 1.38)) during the year before pregnancy. During pre-pregnancy, depressed women had more than three times the mean number of physician visits than non-depressed women: (8.56 (8.38, 8.73) versus (2.59 (2.57, 2.61), P < 0.00005. CONCLUSIONS: Physicians have ample opportunities to assess women of child-bearing age for depression and to refer for appropriate treatment. It is particularly important that physicians pay extra attention to identify depression in those of lower SES who are likely to become pregnant. Further, identifying depression and providing appropriate referral for treatment in all women who are likely to become pregnant, are already pregnant or are caring for children is important. In such a way, the possible negative effects of prenatal and post-partum depression, along with the interactive effects of low SES on the child, might be reduced.

Do working conditions at older ages shape the health gradient?

This study examines whether working conditions at the end of workers' careers impact health and contribute to health disparities across occupations. A dynamic panel correlated random effects model is used in conjunction with a rich data set that combines information from the Health and Retirement Study (HRS), expert ratings of job demands from the Occupational Information Network (O*NET), and mid-career earnings records from the Social Security Administration's (SSA) Master Earnings File (MEF). Results reveal a strong relationship between positive aspects of the psychosocial work environment and improved self-reported health status, blood pressure, and cognitive function. However, there is little evidence to suggest that working conditions shape observed health disparities between occupations in the years leading up to retirement.

Design and methodology of the Geo-social Analysis of Physicians' settlement (GAP-Study) in Germany.

BACKGROUND: Unequally distributed disease burdens within populations are well-known and occur worldwide. They are depending on residents' social status and/or ethnic background. Country-specific health care systems - especially the coverage and distribution of health care providers - are both a potential cause as well as an important solution for health inequalities. METHODS: Registers are built of all accredited physicians and psychotherapists within the outpatient care system in German metropolises by utilizing the database of the Associations of Statutory Health Insurance Physicians. The physicians' practice neighborhood will be analyzed under socioeconomic and demographic perspectives. Therefore, official city districts' statistics will be assigned to the physicians and psychotherapists according to their practice location. Averages of neighborhood indicators will be calculated for each specialty. Moreover, advanced studies will inspect differences by physicians' gender or practice type. Geo-spatial analyses of the intra-city practices distribution will complete the settlement characteristics of physicians and psychotherapists within the outpatient care system in German metropolises. RESULTS: The project "Geo-social Analysis of Physicians' settlement" (GAP) is designed to elucidate gaps of physician coverage within the outpatient care system, dependent on neighborhood residents' social status or ethnics in German metropolises. CONCLUSION: The methodology of the GAP-Study enables the standardized investigation of physicians' settlement behavior in German metropolises and their inter-city comparisons. The identification of potential gaps within the physicians' coverage should facilitate the delineation of approaches for solving health care inequality problems.

The underemployment of American rural women: prevalence, trends and spatial inequality.

PIP: The growing numerical significance of women in the US nonmetropolitan labor force has not been matched by parallel efforts to document the changing quality of their employment. In this paper. Lichter uses the labor utilization framework of Clogg and Sullivan to examine the prevalence and spatial convergence of various forms of female underemployment during 1970-1985. Data from the March annual demographic files of the Current Population Survey reveal that underemployment has been a significant aspect of the employment experiences of nonmetropolitan women during this period. There has been little evidence of spatial or sex convergence in labor market outcomes. Roughly 1 of every 3 rural female workers today is a discouraged worker, jobless, employed part-time involuntarily, or working for poverty-level wages. Moreover, rural women continue to suffer substantially higher levels of economic underemployment than urban women and rural men. This study reinforces the view that rural women remain a seriously underutilized labor resource in the US.^ieng