IMPORTANCEThe COVID-19 pandemic has had disproportionate effects on racial and ethnic minority communities, where preexisting clinical and social conditions amplify health and social disparities. Many of these communities report lower vaccine confidence and lower receipt of the COVID-19 vaccine. Understanding factors that influence the multifaceted decision-making process for vaccine uptake is critical for narrowing COVID-19-related disparities.OBJECTIVE To examine factors that members of multiethnic communities at high risk for COVID-19 infection and morbidity report as contributing to vaccine decision-making. DESIGN, SETTING, AND PARTICIPANTSThis qualitative study used community-engaged methods to conduct virtual focus groups from November 16, 2020, to January 28, 2021, with Los Angeles County residents. Potential participants were recruited through email, video, and telephone outreach to community partner networks. Focus groups were stratified by self-identified race and ethnicity as well as age. Transcripts were analyzed using reflexive thematic analysis. MAIN OUTCOMES AND MEASURESThemes were categorized by contextual, individual, and vaccine-specific influences using the World Health Organization's Vaccine Hesitancy Matrix categories.RESULTS A total of 13 focus groups were conducted with 70 participants (50 [71.4%] female) who self-identified as American Indian (n = 17 [24.3%]), Black/African American (n = 17 [24.3%]), Filipino/ Filipina (n = 11 [15.7%]), Latino/Latina (n = 15 [21.4%]), or Pacific Islander (n = 10 [14.3%]). A total of 39 participants (55.7%) were residents from high-poverty zip codes, and 34 (48.6%) were essential workers. The resulting themes included policy implications for equitable vaccine distribution: contextual influences (unclear and unreliable information, concern for inequitable access or differential treatment, references to mistrust from unethical research studies, accessibility and accommodation barriers, eligibility uncertainty, and fears of politicization or pharmaceutical industry influence); social and group influences (inadequate exposure to trusted messengers or information, altruistic motivations, medical mistrust, and desire for autonomy); and vaccination-specific influences (need for vaccine evidence by subpopulation, misconceptions on vaccine development, allocation ambiguity, vaccination safety preferences, the importance of perceiving vaccine equity, burden of vaccine scheduling, cost uncertainty, and desire for practitioner recommendation). CONCLUSIONS AND RELEVANCEIn this qualitative study, participants reported a number of factors that affected their vaccine decision-making, including concern for inequitable vaccine access.Participants endorsed policy recommendations and strategies to promote vaccine confidence. These results suggest that support of informed deliberation and attainment of vaccine equity will require (continued) Key Points Question What factors do members of multiethnic communities at high risk for COVID-19 infection and morbidity in Los Angeles Co...
Psychiatric comorbidities are strongly associated with long-term HRQoL in childhood-onset epilepsy, which suggests that comprehensive epilepsy care must include screening and treatment for these conditions, even if seizures remit.
Objectives Self-versus proxy- perspectives may produce different results that are important for clinical decision-making and for assessing outcomes in research studies. We examined differences in child versus parent-report of the child's health-related quality of life (HRQOL) in a large prospective, community-based study of newly diagnosed childhood epilepsy that included children with epilepsy (case) and sibling controls. Methods HRQOL was assessed 8–9 years after initial diagnosis of epilepsy in a subset of 143 case-control matched pairs using the Child Health Questionnaire (CHQ), a generic HRQOL measure with child (CHQ-CF87) and parent (CHQ-PF50) versions. Results There were no significant differences between self-reported case and sibling control HRQOL scores on 9 of 11 scales or 2 global-items. However, parent ratings were significantly better (higher HRQOL) for sibling controls compared to epilepsy cases on 10 of 12 scales, global behavior and general health items, and the physical and psychosocial summary scores (p≤0.05). Parent-child agreement was low for cases and controls (kappa 0.27–0.33) for three single-item questions with the same wording on parent and child versions. Parent ratings of the case’s HRQOL were often significantly associated with 5-year remission status and current anti-epileptic drug use, but the case’s self-reported HRQOL scores were not. In contrast, current pharmacoresistance was often associated with the child and parent ratings of the child’s HRQOL. Conclusion Children with epilepsy report HRQOL that is comparable to that of sibling controls while parents rate children with epilepsy as having lower HRQOL than sibling controls. Measuring outcomes in studies of this population should incorporate both perspectives.
Objective: Residence in a socioeconomically disadvantaged community is associated with mortality, but the mechanisms are not well understood. We examined whether socioeconomic features of the residential neighborhood contribute to poststroke mortality and whether neighborhood influences are mediated by traditional behavioral and biologic risk factors.Methods: We used data from the Cardiovascular Health Study, a multicenter, population-based, longitudinal study of adults $65 years. Residential neighborhood disadvantage was measured using neighborhood socioeconomic status (NSES), a composite of 6 census tract variables representing income, education, employment, and wealth. Multilevel Cox proportional hazard models were constructed to determine the association of NSES to mortality after an incident stroke, adjusted for sociodemographic characteristics, stroke type, and behavioral and biologic risk factors.Results: Among the 3,834 participants with no prior stroke at baseline, 806 had a stroke over a mean 11.5 years of follow-up, with 168 (20%) deaths 30 days after stroke and 276 (34%) deaths at 1 year. In models adjusted for demographic characteristics, stroke type, and behavioral and biologic risk factors, mortality hazard 1 year after stroke was significantly higher among residents of neighborhoods with the lowest NSES than those in the highest NSES neighborhoods (hazard ratio 1.77, 95% confidence interval 1.17-2.68).Conclusion: Living in a socioeconomically disadvantaged neighborhood is associated with higher mortality hazard at 1 year following an incident stroke. Further work is needed to understand the structural and social characteristics of neighborhoods that may contribute to mortality in the year after a stroke and the pathways through which these characteristics operate. Neurology â 2013;80:520-527 GLOSSARY CHS 5 Cardiovascular Health Study; CI 5 confidence interval; CVD 5 cardiovascular disease; DBP 5 diastolic blood pressure; HDL 5 high-density lipoprotein; HR 5 hazard ratio; IRB 5 institutional review board; NSES 5 neighborhood socioeconomic status; SBP 5 systolic blood pressure; SES 5 socioeconomic status; TC 5 total cholesterol.Stroke is a leading cause of death in the United States. Among adults ages 65 years and older, mortality at 1 year after an initial stroke is over 30%.1 An emerging literature suggests that place of residence may play an important role in stroke risk.2-8 Recent evidence suggests that the association between neighborhood socioeconomic status (SES) and incident stroke is mediated by biologic risk factors, such as control of blood pressure, blood sugars, and lipids. 4 Fewer studies have explored whether neighborhood factors influence poststroke mortality, 2,9,10 and although socioeconomic features of neighborhoods, such as area-level deprivation 2,10 and neighborhood social cohesion, 9 have been implicated in poststroke mortality, the mechanisms remain poorly understood. To examine the relationship between neighborhood SES (NSES) and mortality after stroke and whether t...
In general, dementia care quality has considerable room for improvement. Although greater comorbidity and dementia severity were associated with better quality, caregiver knowledge was the most consistent caregiver characteristic associated with better adherence. These findings offer opportunities for targeting low quality and suggest potential focused interventions.
Background and Purpose Neighborhood characteristics may influence the risk of stroke and contribute to socioeconomic disparities in stroke incidence. The objectives of this study were to examine the relationship between neighborhood socioeconomic status (NSES) and incident ischemic stroke and examine potential mediators of these associations. Methods We analyzed data from 3834 whites and 785 African Americans enrolled in the Cardiovascular Health Study, a multicenter, population-based, longitudinal study of adults ages ≥65 years from four U.S. counties. The primary outcome was adjudicated incident ischemic stroke. NSES was measured using a composite of six census tract variables. Race-stratified multilevel Cox proportional hazard models were constructed, adjusted for sociodemographic, behavioral, and biologic risk factors. Results Among whites, in models adjusted for sociodemographic characteristics, stroke hazard was significantly higher among residents of neighborhoods in the lowest compared to the highest NSES quartile (Hazard Ratio [HR] =1.32; 95% CI 1.01-1.72), with greater attenuation of the HR after adjustment for biologic risk factors (HR=1.16; 0.88-1.52) than for behavioral risk factors (HR=1.30; 0.99-1.70). Among African Americans, we found no significant associations between NSES and ischemic stroke. Conclusions Higher risk of incident ischemic stroke was observed in the most disadvantaged neighborhoods among whites, but not among African Americans. The relationship between NSES and stroke among whites appears to be mediated more strongly by biologic than behavioral risk factors.
National Institute of Neurological Disorders and Stroke and National Center for Advancing Translational Sciences of the National Institutes of Health.
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