Health Care Advocacy: The Relationships between Age, Chronicity, Comorbidity, and Perceived Need for Assistance

Background and Purpose: The U.S. population is living longer; therefore, a relatively large proportion of the population is likely to experience chronic illnesses within their lifetime. An experimental study was conducted to examine factors influencing the likelihood of hiring a Health Care Advocate (HCA). Methods: Survey data were collected from a randomly selected community sample of participants (N = 470) over the age of 18 who were provided with a description of an HCA and a written vignette describing a medical scenario. Participants read one of eight vignettes in which they were asked to imagine they were in a car accident and required medical care. Age, injury (chronic vs. acute), and presence of comorbid chronic condition were manipulated. Results: A significant interaction indicated that when there was no pre-existing chronic health condition, sustaining a chronic injury increased the likelihood of hiring an HCA. In addition, younger adults with comorbid conditions were perceived as having greater need for an HCA than younger adults without comorbid conditions. Older adults were perceived as benefiting from HCAs regardless of comorbid conditions. Conclusion: This study demonstrates the need for patient-centered support for older adults following an injury, and for younger adults when a pre-existing chronic condition exists. Efforts should be made to target services to these populations of interest

Effects of Age, Mental Health, and Comorbidity on the Perceived Likelihood of Hiring a Healthcare Advocate

Background and Purpose: The projected increase in chronically ill older adults may overburden the healthcare system and compromise the receipt of quality and coordinated health care services. Healthcare advocates (HCAs) may help to alleviate the burden associated with seeking and receiving appropriate health care. We examined whether having dementia or depression, along with hypertension and arthritis, or having no comorbid medical conditions, and being an older adult, affected the perceived likelihood of hiring an HCA to navigate the health care system. Method: Participants (N = 1,134), age 18 or older, read a vignette and imagined themselves as an older adult with either a mood or cognitive disorder, and comorbid medical conditions or as otherwise being physically healthy. They were then asked to complete a questionnaire assessing their perceived likelihood of hiring an HCA. Results: Participants who imagined themselves as having dementia reported a greater likelihood of hiring an HCA than participants who imagined themselves as having depression (p < .001). Conclusion: It is imperative that health care professionals attend to the growing and ongoing needs of older adults living with chronic conditions, and HCAs could play an important role in meeting those needs

Assessing the Structure of the Ways of Coping Questionnaire in Fibromyalgia Patients Using Common Factor Analytic Approaches

The Ways of Coping Questionnaire (WCQ) is a widely used measure of coping processes. Despite its use in a variety of populations, there has been concern about the stability and structure of the WCQ across different populations. This study examines the factor structure of the WCQ in a large sample of individuals diagnosed with fibromyalgia. The participants were 501 adults (478 women) who were part of a larger intervention study. Participants completed the WCQ at their 6-month assessment. Foundational factoring approaches were performed on the data (i.e., maximum likelihood factoring [MLF], iterative principal factoring [IPF], principal axis factoring (PAF), and principal components factoring [PCF]) with oblique oblimin rotation. Various criteria were evaluated to determine the number of factors to be extracted, including Kaiser’s rule, Scree plot visual analysis, 5 and 10% unique variance explained, 70 and 80% communal variance explained, and Horn’s parallel analysis (PA). It was concluded that the 4-factor PAF solution was the preferable solution, based on PA extraction and the fact that this solution minimizes nonvocality and multivocality. The present study highlights the need for more research focused on defining the limits of the WCQ and the degree to which population-specific and context-specific subscale adjustments are needed

Mapping the human genetic architecture of COVID-19

The genetic make-up of an individual contributes to the susceptibility and response to viral infection. Although environmental, clinical and social factors have a role in the chance of exposure to SARS-CoV-2 and the severity of COVID-191,2, host genetics may also be important. Identifying host-specific genetic factors may reveal biological mechanisms of therapeutic relevance and clarify causal relationships of modifiable environmental risk factors for SARS-CoV-2 infection and outcomes. We formed a global network of researchers to investigate the role of human genetics in SARS-CoV-2 infection and COVID-19 severity. Here we describe the results of three genome-wide association meta-analyses that consist of up to 49,562 patients with COVID-19 from 46 studies across 19 countries. We report 13 genome-wide significant loci that are associated with SARS-CoV-2 infection or severe manifestations of COVID-19. Several of these loci correspond to previously documented associations to lung or autoimmune and inflammatory diseases3–7. They also represent potentially actionable mechanisms in response to infection. Mendelian randomization analyses support a causal role for smoking and body-mass index for severe COVID-19 although not for type II diabetes. The identification of novel host genetic factors associated with COVID-19 was made possible by the community of human genetics researchers coming together to prioritize the sharing of data, results, resources and analytical frameworks. This working model of international collaboration underscores what is possible for future genetic discoveries in emerging pandemics, or indeed for any complex human disease

Detailed stratified GWAS analysis for severe COVID-19 in four European populations

Given the highly variable clinical phenotype of Coronavirus disease 2019 (COVID-19), a deeper analysis of the host genetic contribution to severe COVID-19 is important to improve our understanding of underlying disease mechanisms. Here, we describe an extended GWAS meta-analysis of a well-characterized cohort of 3255 COVID-19 patients with respiratory failure and 12 488 population controls from Italy, Spain, Norway and Germany/Austria, including stratified analyses based on age, sex and disease severity, as well as targeted analyses of chromosome Y haplotypes, the human leukocyte antigen (HLA) region and the SARS-CoV-2 peptidome. By inversion imputation, we traced a reported association at 17q21.31 to a ~ 0.9-Mb inversion polymorphism that creates two highly differentiated haplotypes and characterized the potential effects of the inversion in detail. Our data, together with the 5th release of summary statistics from the COVID-19 Host Genetics Initiative including non-Caucasian individuals, also identified a new locus at 19q13.33, including NAPSA, a gene which is expressed primarily in alveolar cells responsible for gas exchange in the lung

Mapping the human genetic architecture of COVID-19

The genetic make-up of an individual contributes to the susceptibility and response to viral infection. Although environmental, clinical and social factors have a role in the chance of exposure to SARS-CoV-2 and the severity of COVID-191,2, host genetics may also be important. Identifying host-specific genetic factors may reveal biological mechanisms of therapeutic relevance and clarify causal relationships of modifiable environmental risk factors for SARS-CoV-2 infection and outcomes. We formed a global network of researchers to investigate the role of human genetics in SARS-CoV-2 infection and COVID-19 severity. Here we describe the results of three genome-wide association meta-analyses that consist of up to 49,562 patients with COVID-19 from 46 studies across 19 countries. We report 13 genome-wide significant loci that are associated with SARS-CoV-2 infection or severe manifestations of COVID-19. Several of these loci correspond to previously documented associations to lung or autoimmune and inflammatory diseases3,4,5,6,7. They also represent potentially actionable mechanisms in response to infection. Mendelian randomization analyses support a causal role for smoking and body-mass index for severe COVID-19 although not for type II diabetes. The identification of novel host genetic factors associated with COVID-19 was made possible by the community of human genetics researchers coming together to prioritize the sharing of data, results, resources and analytical frameworks. This working model of international collaboration underscores what is possible for future genetic discoveries in emerging pandemics, or indeed for any complex human disease