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Introduction: Pharmacological strategies are often central to chronic pain management; however, pain treatment among non-Hispanic Black men may differ because of their disease profiles and healthcare interactions. However, less is known about pain medication prescribing and patients' satisfaction with pain treatment and management among non-Hispanic Black men with self-reported chronic pain., Purpose: This study assessed factors associated with non-Hispanic Black men being prescribed/recommended narcotics/opioids for chronic pain and their satisfaction with pain treatment/management., Methods: Data were analyzed from 286 non-Hispanic Black men with chronic pain who completed an internet-delivered questionnaire. Participants were recruited nationwide using a Qualtrics web-based panel. Logistic regression was used to identify factors associated with being prescribed/recommended narcotics/opioids for pain management treatment. Then, ordinary least squares regression was used to identify factors associated with their satisfaction level with the pain treatment/management received., Results: On average, participants were 56.2 years old and 48.3% were prescribed/recommended narcotics/opioids for chronic pain. Men with more chronic conditions (Odds Ratio [OR] = 0.57, P = 0.043) and depression/anxiety disorders (OR = 0.53, P = 0.029) were less likely to be prescribed/recommended narcotics/opioids. Men who were more educated (OR = 2.09, P = 0.044), reported more frequent chronic pain (OR = 1.28, P = 0.007), and were allowed to participate more in decisions about their pain treatment/management (OR = 1.11, P = 0.029) were more likely to be prescribed/recommended narcotics/opioids. On average, men with more frequent chronic pain (B = -0.25, P = 0.015) and pain problems (B = -0.16, P = 0.009) were less satisfied with their pain treatment/management. Men who were allowed to participate more in decisions about their pain treatment/management reported higher satisfaction with their pain treatment/management (B = 0.55, P < 0.001)., Conclusion: Playing an active role in pain management can improve non-Hispanic Black men's satisfaction with pain treatment/management. This study illustrates the importance of patient-centered approaches and inclusive patient-provider interactions to improve chronic pain management., Competing Interests: The authors have no conflicts of interest to disclose., (© 2024 Oloruntoba et al.)

Introduction: Tobacco use disparities persist among U.S. adults who are male, racially/ethnically diverse, and have chronic conditions. This study assessed current tobacco use patterns associated with past year healthcare utilization among non-Hispanic Black and Hispanic men ≥40 years old with ≥1 chronic condition., Methods: Data were collected from a sample of 1,904 non-Hispanic Black and Hispanic men from across the U.S. using an internet-delivered survey. Participants were categorized into four tobacco use groups: nontobacco users, exclusive cigarette smokers, dualtobacco users (cigarettes + one other tobacco product), and polytobacco users (cigarettes + ≥2 other tobacco products). Logistic regression analyses were conducted to assess current tobacco use patterns with past year primary care visits, emergency department (ED) visits, and overnight hospital stays. Adjusted models included participants' age, race/ethnicity, education level, marital status, health insurance coverage, body mass index, and number of chronic conditions., Results: Relative to nontobacco users, exclusive cigarette smokers were at decreased odds of having a past year primary care visit (adjusted odds ratio [AOR] = 0.68, 95% confidence interval [CI] = 0.47-0.99). Exclusive cigarette smokers (AOR = 1.66, 95%CI = 1.25-2.19), dualtobacco users (AOR = 1.75, 95%CI = 1.23-2.50), and polytobacco users (AOR = 4.10, 95%CI = 2.46-6.84) were at increased odds of having a past year ED visit compared to nontobacco users. Additionally, polytobacco users were at increased odds of having a past year overnight hospital stay (AOR = 2.72, 95%CI = 1.73-4.29) compared to nontobacco users., Conclusions: Findings suggest current tobacco use patterns are uniquely associated with past year healthcare utilization among non-Hispanic Black and Hispanic men, while taking into consideration important factors including complex disease profiles., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 Elsevier Ltd. All rights reserved.)

Research Objective: This study investigates the impact of misreporting by Medicaid recipients on estimates of the uninsured in Louisiana, and is based on similar work by Call et al. in Minnesota and Klerman, Ringel, and Roth in California. With its unique charity hospital system, culture, and high poverty, Louisiana provides an interesting and unique context for examining Medicaid underreporting., Study Design: Results are based on a random sample of 2,985 Medicaid households. Respondents received a standard questionnaire to identify health insurance status, and individual records were matched to Medicaid enrollment data to identify misreporting., Data Sources: Data were collected by the Public Policy Research Lab at Louisiana State University using computer-assisted telephone interviewing. Using Medicaid enrollment data to obtain contact information, the Louisiana Health Insurance Survey was administered to 2,985 households containing Medicaid recipients. Matching responses on individuals from these households to Medicaid enrollment data yielded responses for 3,199 individuals., Conclusions: Results suggest relatively high rates of underreporting among Medicaid recipients in Louisiana for both children and adults. Given the very high proportion of Medicaid recipients in the population, this may translate up to a 3 percent bias in estimates of uninsured populations., Implications: Medicaid bias may be particularly pronounced in areas with high Medicaid enrollments. Misreporting rates and thus the bias in estimates of the uninsured may differ across areas of the United States with important consequences for Medicaid funding.