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Social conditions like socioeconomic status (SES) are critical sources of health disparities. In pharmacoepidemiology research, our ability to measure SES in retrospective, real world clinical data remains challenged by a lack of patient-reported data. Some broadly accepted concepts can be measured at the individual level, such as income, poverty, and education. Community-level measures such as the Centers for Disease Control and Prevention's Social Vulnerability Index (SVI) also exist. After reflecting on these existing measures and discussing the challenges for leveraging them with real world data, we offer three recommendations that we believe could improve the ability of pharmacoepidemiologists to better measure and interrogate the effect of SES in their own research. These recommendations include a greater collection of patient-reported metrics, reduced reliance on ZIP Codes and ZIP Code Tabulation Areas for creating community-level measures of deprivation, and the inclusion of GIS and demography specialists within pharmacoepidemiology teams., (© The Author(s) 2024. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Background: Health literacy (HL) has been defined as the ability of individuals to access, understand, and utilise basic health information. HL is crucial to patient engagement in treatment through supporting patient autonomy, informed consent and collaborative care. In people with physical disorders, poor HL is associated with poor health outcomes, but less is known about HL in people with severe mental illness. This study aimed to assess HL and investigate the associations between education, cognitive function, general literacy, and HL in participants with schizophrenia attending community mental health clinics., Method: Fifty-two outpatients with schizophrenia attending a public community mental health clinic in Adelaide, Australia completed the Test of Functional Health Literacy in Adults-Short Form (S-TOFHLA) along with tests of cognition, aural and reading literacy and numeracy including Digit Symbol Coding (DSC), verbal fluency, the Wechsler Adult Intelligence Scale (WAIS-IV), Woodcock-Johnson III (Part 4 and 9) and the Lipkus numeracy scale. Sixty-one percent of participants were male. Participants had a mean age of 41.2 (SD 9.9) years and a mean of 11.02 (SD 1.5) years of education., Results: The majority of participants had very poor aural and verbal literacy and poorer literacy correlated with fewer years of education. On the S-TOFHLA, 81% of participants had adequate HL; 6% were marginal and 13% were inadequate. There was a positive correlation between education and HL, with those with more years of education scoring higher for HL. There was also a significant association between better HL and better working memory and attention., Conclusions: Consistent with previous research in schizophrenia, our participants had reduced educational attainment, aural and reading literacy and cognitive function compared to population norms. However, HL was better than expected given that previous research has found that people with psychiatric disorders tend to have lower HL, compared to the general population. This may reflect effective case management of our participants whilst attending the community clinics and supports ongoing research and intervention regarding HL in people living with mental illness., (© 2022. The Author(s).)

Selecting the appropriate statistical tests for data analysis is a critical skill for the infection preventionist (IP), both for analyzing their own data as well as evaluating the scientific literature methodology. Obtaining results from data analyses has never been easier thanks to computational improvements, but the interpretation of results relies on a keen awareness that the approach was sound. The purpose of this primer is to introduce the infection preventionist to the ideas behind hypothesis testing with a focus on statistical test selection., (Copyright © 2021 Association for Professionals in Infection Control and Epidemiology, Inc. Published by Elsevier Inc. All rights reserved.)

Objective: To investigate the associations of state gubernatorial party control and 2016 county-level presidential election preference on COVID-19 case and death rates in the United States., Study Design: This was a secondary analysis of publicly available data., Methods: Data including county-level COVID-19 case and death counts through February 9, 2021, 2020 gubernatorial data, and county-level US Census Bureau data, Broadstreet area deprivation index, and 2016 presidential voting tallies were included. Negative binomial regression estimated the adjusted impact of each variable on COVID-19 case and death rates., Results: A total of 3102 counties in the 48 continental United States plus Washington DC were included. County-level case and death rates were higher (12% and 22%, respectively) in Republican vs Democrat controlled states. Case and death rates were higher in counties voting Republican vs Democrat in 2016 and were modified by counties with median ages ≥ 50 years (54% increase in case rate and 91% increase in death rate)., Conclusions: These data further support the need for prevention efforts to focus on public health while extricating guidance and prevention from political agendas., (Copyright © 2021 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved.)

Literacy is an important predictor of health care utilization and outcomes. We examine literacy among people seeking care in a state funded mental health clinic (Site 1) and a safety-net hospital clinic (Site 2). Limited literacy was defined as literacy at or below the 8th grade level. At Site 1, 53% of participants had limited reading literacy and 78% had limited aural literacy. At Site 2, 72% had limited reading and 90% had limited aural literacy. Regression analyses examined associations among limited literacy and psychiatric, neurocognitive and sociodemographic characteristics. Few associations among psychiatric and neurocognitive factors, and literacy were found. At Site 2, black and "other" race participants had higher odds for limited literacy compared to white participants suggesting that limited literacy may be an under-examined mechanism in understanding racial disparities in mental health. Work is needed to understand the relationships among literacy, mental health and mental health care.

Emergency medical technicians and paramedics form the backbone of the United States' Emergency Medical Service (EMS) system. Despite the frequent involvement of EMS with people with mental health and substance abuse problems, the nature and content of this work, as well as how EMS providers think about this work, have not been fully explored. Using data obtained through observations and interviews with providers at an urban American EMS agency, this paper provides an analysis of the ways in which EMS providers interact with people with mental illness and substance abuse problems, as well as providers' experiences with the mental health care system. Results demonstrate that EMS providers share common beliefs and frustrations about "psych calls" and the types of calls that involve people with behavioral health problems. In addition, providers described their understandings of the ways in which people with mental health and substance use problems "abuse the system" and the consequences of this abuse. Finally, EMS providers discuss the system-level factors that impact their work and specific barriers and challenges to care. These results suggest that additional work is needed to expand our understanding of the role of EMS providers in the care of people with behavioral health problems and that mental health practitioners and policy makers should include consideration of the important role of EMS and prehospital care in providing community-based supports for people with behavioral health needs. (PsycINFO Database Record, ((c) 2015 APA, all rights reserved).)

The authors recently began a research study, funded by the National Institute of Mental Health, aimed at increasing the understanding of the ways in which limited literacy affects the lives of people with serious mental illness. In preparing for the study, the authors reviewed many health literacy screens and assessments for their appropriateness in public urban mental health settings. The Rapid Estimate of Adult Literacy in Medicine and the Test of Functional Health Literacy in Adults, perhaps the most frequently used assessments of health literacy, involve assessments that include lists of words that the test-taker must choose from or read. Each of these instruments includes language that is potentially triggering for trauma survivors, particularly those with posttraumatic stress disorder (PTSD). The research participants for the current project are consumers of mental health services, and thus, the authors believe it is essential to remove the problematic language, given that the likelihood of a diagnosis of PTSD and/or a history of abuse is higher than average among this population. However, the authors argue that this issue applies to anyone who administers these instruments, because sexual assault and abuse, as well as PTSD diagnoses, are certainly not confined to those who seek mental health services. The authors' aim is not only to call attention to the use of triggering language in existing literacy and health-related assessments and research instruments, but also to advocate that others take similar steps toward embracing more sensitive language by removing or replacing words that may cause unnecessary stress, anxiety, or pain to those who are at increased risk of retraumatization.