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Complementary and alternative medicine (CAM) as a topic of research and as an approach within the health care delivery system has become increasingly accepted. Aided by the holistic movement, and after a century and a half of striving for legitimacy, CAM is also increasingly becoming more accepted by mainstream medicine. This chapter reviews the social sources of disparities in use of CAM, with a greater focus on English-speaking countries, and especially the US. This chapter will briefly highlight the basic underlying principles of CAM as linked to its history and discuss types of CAM. The major focus of this chapter will be a review of the literature on social factors and use of CAM, looking at such factors as age, gender, socioeconomic status, race/ethnicity and immigration status, and health status. As part of this, we will also discuss the integration of CAM and conventional care. In conclusion, future directions for social science research in CAM will be discussed, specifically elaborating on the importance of the social sciences linking CAM with other growing interests in health and wellness.

The purpose of this chapter is to examine geographic variations in utilization and need for mental health services. Data for this study were obtained from the 2002 National Survey of American Families. The total sample size was 23,327 adults of aged 18 years and older. Both logistic and linear regression were used to test the possibility of geographical variations. Disparities were found among the 13 U.S. states examined in this study. Results also showed that the percentage of African Americans, state mental health budgets, and mean length of stay in psychiatric hospitals in the state are important predictors of variations in mental health utilization and need variables. These findings suggest that although individual sociodemographic characteristics are important in examining mental health utilization, state characteristics (especially percentage of African Americans, state mental health laws, and mean length of stay in psychiatric hospitals) are also important predictors of variation in utilization of mental health services.

This chapter examines birth outcomes of patients enrolled in Familias Sanas (Healthy Families), an educational intervention designed to reduce health disadvantages of low-income, immigrant Latina mothers by providing social support during and after pregnancy.

Using a randomized control-group design, the project recruited 440 pregnant Latina women, 88% of whom were first generation. Birth outcomes were collected through medical charts and analyzed using regression analysis to evaluate if there were any differences between patients enrolled in Familias Sanas compared to those patients who followed a typical prenatal course.

Control and intervention groups were found to be similar with regard to demographic characteristics. In addition, we did not observe a decrease in rate of a number of common pregnancy-related complications. Likewise, rates of operative delivery were similar between the two groups as were fetal weight at delivery and use of regional anesthesia at delivery.

The lack of improvements in birth outcomes for this study was perhaps because this social support intervention was not significant enough to override long-standing stressors such as socioeconomic status, poor nutrition, genetics, and other environmental stressors.

This study was set in an inner-city, urban hospital with a large percentage of patients being of Hispanic descent. The study itself is a randomized controlled clinical trial, and data were collected directly from electronic medical records by physicians.

Since the development of the COVID-19 vaccinations, questions surrounding race have been prominent in the literature on vaccine uptake. Early in the vaccine rollout, public health officials were concerned with the relatively lower rates of uptake among certain racial/ethnic minority groups. We suggest that this may also be patterned by racial/ethnic residential segregation, which previous work has demonstrated to be an important factor for both health and access to health care.

In this study, we examine county-level vaccination rates, racial/ethnic composition, and residential segregation across the U.S. We compile data from several sources, including the American Community Survey (ACS) and Centers for Disease Control (CDC) measured at the county level.

We find that just looking at the associations between racial/ethnic composition and vaccination rates, both percent Black and percent White are significant and negative, meaning that higher percentages of these groups in a county are associated with lower vaccination rates, whereas the opposite is the case for percent Latino. When we factor in segregation, as measured by the index of dissimilarity, the patterns change somewhat. Dissimilarity itself was not significant in the models across all groups, but when interacted with race/ethnic composition, it moderates the association. For both percent Black and percent White, the interaction with the Black-White dissimilarity index is significant and negative, meaning that it deepens the negative association between composition and the vaccination rate.

The analysis is only limited to county-level measures of racial/ethnic composition and vaccination rates, so we are unable to see at the individual-level who is getting vaccinated.

We find that segregation moderates the association between racial/ethnic composition and vaccination rates, suggesting that local race relations in a county helps contextualize the compositional effects of race/ethnicity.

This study compared different types of full-time caregiver (e.g., children, older adults, COVID-19 patients) and subgroups (e.g., disability, race/ethnicity, sexual orientation) in the United States during the COVID-19 pandemic for potentially meaningful distinctions.

Data from the 9,854 full-time caregivers identified in Phase 3.2 (July 21–October 11, 2021) of the US Census Household Pulse Survey (HPS) were analyzed in this study using multinomial logistic regression to examine relationships between caregiver types, marginalized subgroups, generation, and vaccination status.

The prevalence of caregiving was low, but the type of full-time caregiving performed varied by demographic group (i.e., disability, race/ethnicity, sexual orientation, gender, generation, and vaccination status). The relative risk of being a COVID-19 caregiver remained significant for being a member of each of the marginalized groups examined after all adjustments.

To date, the HPS has not been analyzed to predict the type of full-time informal caregiving performed during the COVID-19 pandemic or their characteristics. Research limitations of this analysis include the cross-sectional, experimental dataset employed, as well as some variable measurement issues.

Prior informal caregiver research has often focused on the experiences of those caring for older adults or children with special healthcare needs. It may be instructive to learn whether and how informal caregivers excluded from paid employment during infectious disease outbreaks vary in meaningful ways from those engaged in other full-time caregiving. Because COVID-19 magnified equity concerns, examining demographic differences may also facilitate customization of pathways to post-caregiving workforce integration.

Researcher Highlight: Dr. Carter G. Woodson (1875–1950)