Migrant women's experiences of community-based doula support during labor and childbirth in Sweden. A mixed methods study.

OBJECTIVE: To describe migrant women's experiences of bilingual community-based doulas (CBD) contribution to care in relation to labor and birth. METHODS: Mixed methods study combining quantitative data from 82 women who received CBD-support within a randomized controlled trial and qualitative data from semi-structured interviews with a sub-sample of 12 women from the same study arm. Descriptive analyses were used for quantitative data and content analysis for the manifest and latent content of the qualitative data. Quantitative findings were categorized according to qualitative findings. RESULTS: The women expressed how CBDs played an essential role in the response to their basic emotional, informational, and physical support needs, when no other female family member was available. Three main categories emerged from the analysis of interviews: The doulas help women feel safe and calm - providing support before, during and after childbirth; The doulas' support role fills the void left by a deeply missed family, mother or sister; and The doulas assist women in achieving autonomy through communication support and advocacy. More than half of women reported feeling involved during labor and birth (56.8%), most valued CBD positively (such as being competent, calm, secure, considerate, respectful, encouraging, supportive) (40.8%-80.3%), that CBD had interpreted (75.6%), facilitated communication with the midwife (60,3%), comforted the woman (57.7%) and reduced anxiety (48,7%). Few reported negative CBD-characteristics (1.3-9.2%). Nevertheless, 61.7% of women felt frightened sometime during labor and birth, which made it even more important to them that the doula was there. Few women (21.8%) reported that the CBD had supported her partner but expressed so in the interviews. CONCLUSION: Through an essential contribution in responding to migrant women's basic emotional, informational, and physical needs, bilingual community-based doulas have the potential to improve migrant women's experience of care during labour and birth. However, more focus on the quality of CBD-support to partners seem necessary.

US Nationwide Multi-City Media Coverage of COVID-19 Responses: Community Structure Theory, Belief System, and a "Violated Way of Life".

Community structure analysis compared city characteristics and newspaper coverage of state/local government responses to COVID-19 in 25 major U.S. cities, sampling all 250+ word articles from 4/4/20 to 7/6/20. The resulting 588 articles were coded for "prominence" and "direction" (favorable/unfavorable/balanced-neutral coverage), then combined into each newspaper's composite "Media Vector" (range=0.3552 to -0.5197, or 0.8749). Twenty-one of 25 newspapers (84%) displayed unfavorable coverage of local COVID-19 responses. Pearson correlations and regression analysis confirmed a muscular "violated way of life" pattern, when a community perceives itself as threatened by a "biological threat or a threat to a cherished way of life." Political and belief system polarization (in particular percent Evangelical and percent voting Republican) were strongly associated with unfavorable coverage of local pandemic responses, compared to more favorable responses linked to percent voting Democratic or percent Catholic. Vulnerability (percent uninsured) was also linked to negative coverage. Conversely, two different measures of access to healthcare (percent municipal spending on health and welfare, and physicians/100,000) were significantly linked to favorable coverage of the same local government efforts. Community structure theory's grass roots "bottom up" expectations linking community demographics to variations in reporting on critical issues were robustly confirmed.

Social capital or vulnerability: Which has the stronger connection with selected U.S. health outcomes?

We tested associations between social capital or vulnerability and health outcome measures of adult obesity, adult diabetes, and life expectancy at the county level in the United States with data from 2015 to 2018. This ecological cross-sectional study utilized secondary data from four open access databases: The Geography of Social Capital (U.S. Congress, 2018), County Health Rankings (2018), CDC's Behavioral Risk Factor Surveillance System (BRFSS, 2018) and the Kaiser Family Foundation (KFF, 2015). Our dependent variables were adult obesity, adult diabetes, and life expectancy. We identified the highest and lowest states' prevalence for each of three health outcomes in each of the four U.S. regions-Northeast, South, Midwest, and West. Each dependent variable was assessed using a sample of 32 counties (N = 32). Data analysis consisted of bivariate and regression analysis. Our results showed that the most consistent measure of "vulnerability" linked significantly to all three health conditions studied was percent births to unmarried women (Obesity p < .001; Diabetes p = .049; Life Expectancy p = .019). The most consistent measure of "social capital" linked to all three health conditions was recreation establishments per 1,000 inhabitants (Obesity p = .006; Diabetes p = .005; Life Expectancy p = .018). We concluded that measures of vulnerability were strongly associated with obesity, diabetes, and life expectancy when compared with social capital indicators. However, measures of social capital consistently accounted for the second-greatest proportion of the variance. Social and community contexts should be constantly addressed by both public health governmental- and scholarly-research agendas in the United States.

Constructing and Communicating COVID-19 Stigma on Twitter: A Content Analysis of Tweets during the Early Stage of the COVID-19 Outbreak.

This study focuses on stigma communication about COVID-19 on Twitter in the early stage of the outbreak, given the lack of information and rapid global expansion of new cases during this period. Guided by the model of stigma communication, we examine four types of message content, namely mark, group labeling, responsibility, and peril, that are instrumental in forming stigma beliefs and sharing stigma messages. We also explore whether the presence of misinformation and conspiracy theories in COVID-19-related tweets is associated with the presence of COVID-19 stigma content. A total of 155,353 unique COVID-19-related tweets posted between December 31, 2019, and March 13, 2020, were identified, from which 7000 tweets were randomly selected for manual coding. Results showed that the peril of COVID-19 was mentioned the most often, followed by mark, responsibility, and group labeling content. Tweets with conspiracy theories were more likely to include group labeling and responsibility information, but less likely to mention COVID-19 peril. Public health agencies should be aware of the unintentional stigmatization of COVID-19 in public health messages and the urgency to engage and educate the public about the facts of COVID-19.