"Many people have no idea": a qualitative analysis of healthcare barriers among Yazidi refugees in the Midwestern United States.

BACKGROUND: The COVID-19 pandemic has shed new light on inequities in healthcare access faced by immigrant and refugee communities. To address ongoing disparities, there is an urgent need for ecological approaches to better understand the barriers that hinder and resources that facilitate access to healthcare. This study investigates barriers to healthcare system access faced by Yazidi refugees in the Midwestern United States. METHODS: Informed by the Interpretative Phenomenological Approach, three focus group meetings with a community advisory board were conducted between September 2019 and January 2020. The nine-member focus group included social workers, healthcare providers, and members of the Yazidi community. Meeting recordings were transcribed into English, coded for themes, and validated. RESULTS: We describe themes related to specific barriers to healthcare access; analyze the influence of relational dynamics in the focus group; explore experiential themes related to healthcare access in the Yazidi community, and finally interpret our findings through a social-ecological lens. CONCLUSION: Community agencies, healthcare organizations, policymakers, and other stakeholders must work together to develop strategies to reduce systemic barriers to equitable care. Community representation in priority-setting and decision-making is essential to ensure relevance, acceptability, and utilization of developed strategies.

Examining the Macrosystem Level of Influence on Community Health Worker Effectiveness in the State of Nebraska: A Qualitative Approach.

Community health workers (CHWs) serve as the linkage between community and providers and are stakeholders for bridging services to the public. However, integration of CHWs into health care organizations is often lacking. This study explored macrosystem level barriers faced by CHWs and their ability to do their jobs effectively. Using qualitative interviews from CHWs (n = 28) in Nebraska, we used an abductive approach to derive the following themes: (1) CHWs and client macrosystem barriers, (2) CHW workforce supports, and (3) macrosystem solutions for CHW workforce sustainability. Study results also found various macrosystem barriers affecting CHW workforces including immigration policies, insurance policies, funding sources, supervisor support, and obstacles for health seeking of clients. Moreover, through the lens of CHWs, results revealed the need to provide and advocate for solutions that prioritize the needs of CHWs as they continue to fill a crucial gap in community healthcare systems.

SARS-CoV-2 concentrations in a wastewater collection system indicated potential COVID-19 hotspots at the zip code level.

Wastewater based epidemiology (WBE) has been successfully applied for SARS-CoV-2 surveillance at the city and building levels. However, sampling at the city level does not provide sufficient spatial granularity to identify COVID-19 hotspots, while data from building-level sampling are too narrow in scope for broader public health application. The objective of this study was to examine the feasibility of using wastewater from wastewater collection systems (WCSs) to monitor COVID-19 hotspots at the zip code level. In this study, 24-h composite wastewater samples were collected from five manholes and two wastewater treatment plants (WWTPs) in the City of Lincoln, Nebraska. By comparing to the reported weekly COVID-19 case numbers, we identified different hotspots responsible for two COVID-19 surges during the study period. One zip code was the only sampling locations that was consistently tested positive during the first COVID-19 surge. In comparison, nearly all the zip codes tested exhibited virus concentration increases that overlapped with the second COVID-19 surge, suggesting broader spread of the virus at that time. These findings demonstrate the feasibility of using WBE to monitor COVID-19 at the zip code level. Highly localized disease surveillance methods can improve public health prevention and mitigation measures at the community level.

Comparison of Human Social Brain Activity During Eye-Contact With Another Human and a Humanoid Robot.

Robot design to simulate interpersonal social interaction is an active area of research with applications in therapy and companionship. Neural responses to eye-to-eye contact in humans have recently been employed to determine the neural systems that are active during social interactions. Whether eye-contact with a social robot engages the same neural system remains to be seen. Here, we employ a similar approach to compare human-human and human-robot social interactions. We assume that if human-human and human-robot eye-contact elicit similar neural activity in the human, then the perceptual and cognitive processing is also the same for human and robot. That is, the robot is processed similar to the human. However, if neural effects are different, then perceptual and cognitive processing is assumed to be different. In this study neural activity was compared for human-to-human and human-to-robot conditions using near infrared spectroscopy for neural imaging, and a robot (Maki) with eyes that blink and move right and left. Eye-contact was confirmed by eye-tracking for both conditions. Increased neural activity was observed in human social systems including the right temporal parietal junction and the dorsolateral prefrontal cortex during human-human eye contact but not human-robot eye-contact. This suggests that the type of human-robot eye-contact used here is not sufficient to engage the right temporoparietal junction in the human. This study establishes a foundation for future research into human-robot eye-contact to determine how elements of robot design and behavior impact human social processing within this type of interaction and may offer a method for capturing difficult to quantify components of human-robot interaction, such as social engagement.

Neighborhood Characteristics, Maternal Parenting, and Health and Development of Children from Socioeconomically Disadvantaged Families.

The present study examined the direct and indirect effects of neighborhood conditions on the health and development of children from socioeconomically disadvantaged families. Two waves of data were analyzed from the Fragile Families and Child Wellbeing study and its subsample of 3,656 mothers and their young children at ages 3 and 5. The results show that social cohesion was directly and indirectly associated with children's behavioral problems and health status. Social control was found to have an indirect effect on children's behavioral problems and cognitive development transmitted through maternal parenting quality and parenting stress. There were significant direct effects of neighborhood physical disorder on children's behavioral problems and cognitive development. In terms of effect size, mothers' parenting stress and parenting quality, economic hardship, education level, and health care coverage were also prominent factors in determining the health and development of children. Implications for interventions and future research are discussed.

Varieties of Voice-Hearing: Psychics and the Psychosis Continuum.

Hearing voices that are not present is a prominent symptom of serious mental illness. However, these experiences may be common in the non-help-seeking population, leading some to propose the existence of a continuum of psychosis from health to disease. Thus far, research on this continuum has focused on what is impaired in help-seeking groups. Here we focus on protective factors in non-help-seeking voice-hearers. We introduce a new study population: clairaudient psychics who receive daily auditory messages. We conducted phenomenological interviews with these subjects, as well as with patients diagnosed with a psychotic disorder who hear voices, people with a diagnosis of a psychotic disorder who do not hear voices, and matched control subjects (without voices or a diagnosis). We found the hallucinatory experiences of psychic voice-hearers to be very similar to those of patients who were diagnosed. We employed techniques from forensic psychiatry to conclude that the psychics were not malingering. Critically, we found that this sample of non-help-seeking voice hearers were able to control the onset and offset of their voices, that they were less distressed by their voice-hearing experiences and that, the first time they admitted to voice-hearing, the reception by others was much more likely to be positive. Patients had much more negative voice-hearing experiences, were more likely to receive a negative reaction when sharing their voices with others for the first time, and this was subsequently more disruptive to their social relationships. We predict that this sub-population of healthy voice-hearers may have much to teach us about the neurobiology, cognitive psychology and ultimately the treatment of voices that are distressing.

Does telemedicine improve treatment outcomes for diabetes? A meta-analysis of results from 55 randomized controlled trials.

AIMS: To assess the overall effect of telemedicine on diabetes management and to identify features of telemedicine interventions that are associated with better diabetes management outcomes. METHODS: Hedges's g was estimated as the summary measure of mean difference in HbA1c between patients with diabetes who went through telemedicine care and those who went through conventional, non-telemedicine care using a random-effects model. Q statistics were calculated to assess if the effect of telemedicine on diabetes management differs by types of diabetes, age groups of patients, duration of intervention, and primary telemedicine approaches used. RESULTS: The analysis included 55 randomized controlled trials with a total of 9258 patients with diabetes, out of which 4607 were randomized to telemedicine groups and 4651 to conventional, non-telemedicine care groups. The results favored telemedicine over conventional care (Hedges's g=-0.48, p<0.001) in diabetes management. The beneficial effect of telemedicine were more pronounced among patients with type 2 diabetes (Hedges's g=-0.63, p<0.001) than among those with type 1 diabetes (Hedges's g=-0.27, p=0.027) (Q=4.25, p=0.04). CONCLUSIONS: Compared to conventional care, telemedicine is more effective in improving treatment outcomes for diabetes patients, especially for those with type 2 diabetes.

Disparities in Health Information Access: Results of a County-Wide Survey and Implications for Health Communication.

Health knowledge and behavior can be shaped by the extent to which individuals have access to reliable and understandable health information. Based on data from a population-based telephone survey of 1,503 respondents of ages 18 years and older living in Douglas County, Nebraska, in 2013, this study assesses disparities in health information access and their related covariates. The two most frequently reported sources of health information are the Internet and health professionals, followed by print media, peers, and broadcast media. Relative to non-Hispanic Whites, Blacks are more likely to report health professionals as their primary source of health information (odds ratio [OR] = 2.61, p < .001) and less likely to report peers (OR = 0.39, p < .05). A comparison between Whites and Hispanics suggests that Hispanics are less likely to get their health information through the Internet (OR = 0.51, p < .05) and more likely to get it from broadcast media (OR = 4.27, p < .01). Relative to their counterparts, participants with no health insurance had significantly higher odds of reporting no source of health information (OR = 3.46, p < .05). Having no source of health information was also associated with an annual income below $25,000 (OR = 2.78, p < .05 compared to middle income range) and being born outside of the United States (OR = 5.00, p < .05). Access to health information is lowest among society's most vulnerable population groups. Knowledge of the specific outlets through which people are likely to obtain health information can help health program planners utilize the communication channels that are most relevant to the people they intend to reach.

Does nutritional counseling in telemedicine improve treatment outcomes for diabetes? A systematic review and meta-analysis of results from 92 studies.

BACKGROUND: A growing number of studies and reviews have documented the impact of telemedicine on diabetes management. However, no meta-analysis has assessed whether including nutritional counseling as part of a telemedicine program has a significant impact on diabetes outcomes or what kind of nutritional counseling is most effective. METHODS: Original research articles examining the effect of telemedicine interventions on HbA1c levels in patients with Type 1 or Type 2 diabetes were included in this study. A literature search was performed and 92 studies were retained for analysis. We examined stratified results by differentiating interventions using no nutritional counseling from those that used nutritional counseling. We further compared between nutritional counseling administered via short message systems (SMS) such as email and text messages, and nutritional counseling administered via telephone or videoconference. RESULTS: Telemedicine programs that include a nutritional component show similar effect in diabetes management as those programs that do not. Furthermore, subgroup analysis reveals that nutritional intervention via SMS such as email and text messages is at least as equally effective in reducing HbA1c when compared to personal nutritional counseling with a practitioner over videoconference or telephone. CONCLUSION: The inclusion of nutritional counseling as part of a telemedicine program does not make a significant difference to diabetes outcomes. Incorporating nutritional counseling into telemedicine programs via SMS is at least as effective as counseling via telephone or videoconference.