A single question may be useful for detecting patients with inadequate health literacy in a VA population.

Summary The objective of this study was to critically review the empirical evidence from all relevant disciplines regarding obesity stigma in order to (i) determine the implications of obesity stigma for healthcare providers and their patients with obesity and (ii) identify strategies to improve care for patients with obesity. We conducted a search of Medline and PsychInfo for all peer-reviewed papers presenting original empirical data relevant to stigma, bias, discrimination, prejudice and medical care. We then performed a narrative review of the existing empirical evidence regarding the impact of obesity stigma and weight bias for healthcare quality and outcomes. Many healthcare providers hold strong negative attitudes and stereotypes about people with obesity. There is considerable evidence that such attitudes influence person-perceptions, judgment, interpersonal behaviour and decision-making. These attitudes may impact the care they provide. Experiences of or expectations for poor treatment may cause stress and avoidance of care, mistrust of doctors and poor adherence among patients with obesity. Stigma can reduce the quality of care for patients with obesity despite the best intentions of healthcare providers to provide high-quality care. There are several potential intervention strategies that may reduce the impact of obesity stigma on quality of care.

A great deal of clinical cancer care is delivered in the home by informal caregivers (e.g. family, friends), who are often untrained. Caregivers' context varies widely, with many providing care despite low levels of resources and high levels of additional demands. Background Changes in health care have shifted much cancer care to the home, with limited data to inform this transition. We studied the characteristics, care tasks, and needs of informal caregivers of cancer patients. Methods Caregivers of seven geographically and institutionally defined cohorts of newly diagnosed colorectal and lung cancer patients completed self-administered questionnaires (n = 677). We combined this information with patient survey and chart abstraction data and focused on caregivers who reported providing, unpaid, at least 50% of the patient's informal cancer care. Results Over half of caregivers (55%) cared for a patient with metastatic disease, severe comorbidity, or undergoing current treatment. Besides assisting with activities of daily living, caregivers provided cancer-specific care such as watching for treatment side effects (68%), helping manage pain, nausea or fatigue (47%), administering medicine (34%), deciding whether to call a doctor (30%), deciding whether medicine was needed (29%), and changing bandages (19%). However, half of caregivers reported not getting training perceived as necessary. In addition, 49% of caregivers worked for pay, 21% reported poor or fair health, and 21% provided unpaid care for other individuals. One in four reported low confidence in the quality of the care they provided. Conclusions Much assistance for cancer patients is delivered in the home by informal caregivers, often without desired training, with a significant minority having limited resources and high additional demands. Future research should explore the potentially high yield of addressing caregiver needs in improving quality of cancer care and both survivors' and caregivers' outcomes.

Over the past two decades, thousands of studies have demonstrated that Blacks receive lower quality medical care than Whites, independent of disease status, setting, insurance, and other clinically relevant factors. Despite this, there has been little progress towards eradicating these inequities. Almost a decade ago we proposed a conceptual model identifying mechanisms through which clinicians’ behavior, cognition, and decision making might be influenced by implicit racial biases and explicit racial stereotypes, and thereby contribute to racial inequities in care. Empirical evidence has supported many of these hypothesized mechanisms, demonstrating that White medical care clinicians: (1) hold negative implicit racial biases and explicit racial stereotypes, (2) have implicit racial biases that persist independently of and in contrast to their explicit (conscious) racial attitudes, and (3) can be influenced by racial bias in their clinical decision making and behavior during encounters with Black patients. This paper applies evidence from several disciplines to further specify our original model and elaborate on the ways racism can interact with cognitive biases to affect clinicians’ behavior and decisions and in turn, patient behavior and decisions. We then highlight avenues for intervention and make specific recommendations to medical care and grant-making organizations.

The success of vaccination programs is contingent upon irrefutable scientific safety data combined with high rates of public acceptance and population coverage. Vaccine hesitancy, characterized by lack of confidence in vaccination and/or complacency about vaccination that may lead to delay or refusal to vaccinate despite the availability of services, threatens to undermine the success of COVID-19 vaccination programs. The rapid pace of vaccine development, misinformation in popular and social media, the polarized sociopolitical environment, and the inherent complexities of large-scale vaccination efforts may undermine vaccination confidence and increase complacency about COVID-19 vaccination. While the experience of recent lethal surges of COVID-19 infections have underscored the value of COVID-19 vaccines, ensuring population uptake of COVID-19 vaccination will require application of multi-level, evidence-based strategies to influence behavior change and address vaccine hesitancy. Recent survey research evaluating public attitudes in the U.S. toward the COVID-19 vaccine reveals substantial vaccine hesitancy. Building upon efforts at the policy and community level to ensure population access to COVID-19 vaccination, a strong healthcare system response is critical to address vaccine hesitancy. Drawing on the evidence base in social, behavioral, communication, and implementation science, we review, summarize and encourage use of interpersonal, individual-level, and organizational interventions within clinical organizations to address this critical gap and improve population adoption of COVID-19 vaccination.

In this study we consider both a gender model, a model that focuses on the stress associated with social roles and conditions in the home environment, and a job model, which addresses the stressful characteristics of the work environment, to investigate patterns of women's and men's psychological morbidity

Our findings point to the importance of research and intervention strategies addressing the ways in which providers' beliefs about patients mediate disparities in treatment. In addition, they highlight the need for discourse and consensus development on the role of social factors in clinical decisionmaking.

Background We measured the prevalence of stigma, self-blame, and perceived blame from others for their illness among men with colorectal cancer (CRC) and examined whether these factors were associated with depressive symptoms, independent of clinical and sociodemographic factors. Methods Self-administered questionnaires were returned in the fall of 2009 by 1109 eligible male US veterans who were diagnosed with CRC at any Veterans Affairs facility in 2008. Questionnaires assessed stigma, feelings of blame, and depressive symptoms as well as other facets of health, cancer characteristics, and quality and type of medical care. We report the prevalence of cancer stigma, self-blame, and perceived blame from others. We used multivariate linear regression to assess the association between these factors and a measure of depressive symptoms. Covariates included several measures of overall health, cancer progression, symptom severity, and sociodemographic factors. Results Thirty one percent of respondents endorsed at least one item in a measure of cancer stigma and 25% reported feeling that it was at least ‘a little true’ that they were to blame for their illness. All three independent variables were associated with depressive symptoms in bivariate models; cancer stigma and self-blame were significantly associated with depressive symptoms in the multivariate model. Conclusions Cancer stigma and self-blame are problems for a significant minority of men with CRC and are independent predictors of depressive symptoms. They may represent an important source of stress in men with CRC.