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Many low-income adults who smoke also have unmet social needs, such as food insecurity, which can serve as a barrier to smoking cessation. We developed a novel intervention to jointly address smoking cessation and food insecurity and assessed its feasibility, acceptability, and preliminary outcomes. We enrolled participants who screened for food insecurity, reported smoking daily, and were ready to quit. All participants received 3 months of resources navigation from a community health worker through monthly telephone calls for referrals and check-ins for smoking cessation and food access resources. Participants randomized to the intervention group received an economic intervention equivalent to the cost of 1 week of groceries/month for 3 months. We randomized 55 participants who were smoking on average 13 cigarettes/day. The trial was feasible and acceptable based on 3-month retention rates (80%) and end-of-study qualitative feedback (91% would recommend the study to others). At 3 months, participants in the intervention versus control group reported a longer length of abstinence from smoking and had a higher proportion of serious quit attempts. Results from this pilot study suggest the importance of attending to social needs, particularly food insecurity, as a strategy to promote smoking cessation among low-income adults who smoke. [ABSTRACT FROM AUTHOR]

Introduction/Objectives: Many health systems screen patients for social determinants of health and refer patients with social needs to community organizations for assistance. Understanding how social determinants cluster together may help guide assistance programs. Methods: This study examined patients screened by The MetroHealth System in Cleveland, Ohio for 9 social determinants, including food insecurity, financial strain, transportation limitations, inability to pay for housing or utilities, intimate partner violence, social isolation, infrequent physical activity, daily stress, and lack of internet access. Clustering analyses were performed to determine which combination of social determinants occurred together more often than would be expected if each determinant were independent of each other. Results: Among 23 161 screened patients, there were 19 dyads, 13 triads, and one tetrad of social determinants that clustered together. The most prevalent triad of food insecurity, social isolation, and inability to pay for housing or utilities occurred among 1095 patients but would be expected to occur among 284 patients, for an observed/expected ratio of 3.85 (95% confidence interval 3.64-4.07). In multivariate analyses, younger, Black, and lower income patients were 2 to 3 times more likely to have this triad compared to older, White, and wealthier patients. Conclusions: Social determinants of health frequently cluster together, and such clustering is associated with patient demographic characteristics. Further work is needed to determine how social determinant clusters impact health and cost outcomes and to develop programs that can address multiple co-existing social needs. [ABSTRACT FROM AUTHOR]

Introduction/Objectives: Many health systems screen patients for social determinants of health and refer patients with social needs to community service organizations for assistance. However, little is known about social determinants of health among health system employees. We sought to examine the prevalence of social determinants among employees of The MetroHealth System, a large safety-net health system in Cleveland, Ohio. Methods: We invited participants in an employee wellness program to answer the same screening questions that patients answer about 9 social determinants of health, including food insecurity, financial strain, transportation difficulty, inability to pay for housing or utilities, intimate partner violence, social isolation, infrequent physical activity, daily stress, and lack of internet access. We then determined the percentage of employees who met pre-defined criteria for being at risk for each social determinant. We also examined how these percentages varied across employee job categories. Results: Of 4191 full-time employees, 1932 (46%) completed the survey. The percentage of employees at risk for each social determinant were: food insecurity (11%), financial strain (12%), transportation difficulty (4%), inability to pay for housing or utilities (10%), intimate partner violence (4%), social isolation (48%), infrequent physical activity (10%), daily stress (58%), and lack of internet access (3%). Being at risk for specific social determinants was more common among support staff compared to staff physicians and nurses. For example, the survey participants included 436 administrative support staff, a job category that includes secretaries and patient service representatives. Among this group, 20% reported food insecurity, 20% financial strain, and 17% inability to pay for housing or utilities. Conclusions: Social determinants of health are common among health system employees, especially among workers in lower paid job categories. Health systems should routinely screen employees for social determinants and adjust salaries, benefits, and assistance programs to address their social needs. [ABSTRACT FROM AUTHOR]

Introduction/Objectives: Many health systems screen patients for social determinants of health and refer patients with social needs to community service organizations for assistance. We developed a framework based on sequential steps to evaluate this process. Methods: We reviewed efforts by The MetroHealth System in Cleveland, Ohio and identified 6 sequential steps: patient screened, has social needs, consents to referral to a service organization, referral placed, referral accepted, and referral outcome. Referral outcomes were categorized as resolved (organization provided requested service or patient self-resolved problem), or unresolved (patient unable to be contacted or declined assistance). We then determined the numbers of patients with food insecurity who completed each step, how completion differed by patient characteristics and service organization, and reasons for failure to complete specific steps. Results: We used the framework to evaluate screening and assistance steps among 5741 patients who attended a COVID-19 vaccine clinic from February 15-March 31, 2021 and were followed through April 30, 2021. The percentage of patients who completed each step ranged from 17-98%. Step completion differed by patient age, patient race, and clinic. Of 360 referrals accepted by community organizations, 98 (27%) were resolved. The most common reasons for unresolved referrals were inability of service organization to contact patients (151), no reason stated (71), and patients declined service (30). Conclusions: A framework based on sequential steps may be used to evaluate social determinants of health screening and assistance programs. Further work is needed to address reasons for failure to complete steps, to include patient perspectives, and to determine long-term outcomes. [ABSTRACT FROM AUTHOR]

BACKGROUND: This study examined interview data from the National Health and Nutrition Examination Survey from 2005 to 2016. AIM: To determine national trends in self-reported depressive symptoms. METHOD: Depressive symptoms were assessed using self-reported data on the nine-item Patient Health Questionnaire (PHQ-9), with a total score ≥10 and an individual item score of 2 or 3, indicating greater severity. RESULTS: A total of 31,191 individuals contributed PHQ-9 data from 2005 to 2016. The absolute proportion of individuals with total PHQ-9 score ≥10 increased from 6.2% to 8.1%. After adjustment for participant demographic characteristics and comorbid conditions, the odds ratio for high PHQ-9 score at the end versus the beginning of the study interval was 1.27 (95% confidence interval [CI: 1.07, 1.50]). Anhedonia, guilt/worthlessness, appetite, and hypoactivity/hyperactivity had the largest increases in individual item risk after adjusting for demographic and comorbid characteristics. CONCLUSIONS: There were sizeable increases in the prevalence of self-reported depressive symptoms in the United States over an 11-year period. Further work is needed to understand the reasons for and implications of this increase. However, the results suggest greater efforts should be made by health care providers to screen for depressive symptoms that may warrant further assessment, treatment, or referral to mental health services as needed. [ABSTRACT FROM AUTHOR]

Objective: The antidepressant medication fluoxetine at 90 mg dosed weekly is as effective and safe as standard formulation fluoxetine 20 mg dosed daily in patients with major depressive disorder. Weekly fluoxetine has not been well studied in hemodialysis patients, and doses beyond 90 mg/week have not been described in this population. This case series, derived from a larger study on depression in hemodialysis patients, describes the use of weekly fluoxetine at dosages beyond 90 mg/week. Method: Hemodialysis patients with depressive symptom severity scored ≥10 on the 9-item Patient Health Questionnaire and major depressive disorder confirmed with Mini International Neuropsychiatric Interview were initially prescribed daily fluoxetine for two weeks and then transitioned to weekly fluoxetine. Dosage titration was made at the discretion of the prescribing clinician. Fluoxetine was continued for a total of 12 weeks. Results: Four women, aged 24 to 65 years, on hemodialysis for 1 to 18 years, were started on weekly fluoxetine that was increased over several weeks up to 180 mg. Side effects included restlessness, dry mouth, sedation, and lightheadedness. Two patients ultimately had their weekly fluoxetine decreased back to 90 mg. However, all four continued weekly fluoxetine as part of poststudy aftercare and no longer met diagnostic criteria for major depressive disorder, current episode. Conclusions: Weekly fluoxetine at doses of 180 mg may be a reasonable treatment consideration for hemodialysis patients who have partial or insufficient antidepressant response. Side effects may limit tolerance of the 180 mg dose in some individuals. Future research should investigate longer term health outcomes of weekly fluoxetine in this population. [ABSTRACT FROM AUTHOR]

Fatigue is a prevalent symptom associated with decreased quality of life and increased mortality in individuals with end stage renal disease (ESRD), yet causes of fatigue in individuals with ESRD remain poorly understood. We examined gene expression of Neuronal PAS Domain Protein 2 (NPAS2) in relation to patient-reported fatigue in 122 individuals with ESRD. Independent samples t-tests were used to examine NPAS2 gene expression profiles of: non-fatigue versus fatigue. Multivariable regression analyses were used to examine the relationship between fatigue and numerous variables including depression. Participants were approximately 58 years old (+/- 13.2 years), 78% African American (n = 95), and 72% male (n = 88). The phenotype of fatigue was not significantly associated with gene expression of NPAS2 but was significantly associated with depression (p <.001). This study suggests that further research should examine the causal mechanism between depression and fatigue in order to identify genetic factors that could explain the high comorbidity of depression and fatigue. [ABSTRACT FROM AUTHOR]

Introduction: Organ donation and other altruistic behaviors may be influenced by multiple factors, such as demographic characteristics, religious beliefs, and social norms. Research Question: What is the role of genetic factors on altruism in identical and fraternal twin pairs? Design: Twins attending a twin festival (N = 296) completed an organ donation and altruistic behavior survey. Results: Concordance for stage of change for organ donation was 65% among identical twin pairs versus 33% among fraternal twin pairs (P =.004). Concordance was higher among identical versus fraternal twin pairs for several altruistic behaviors, including giving directions to a stranger (63% vs 24%, P <.001), giving money to a stranger (51% vs 29%, P =.048), donating goods to charity (46% vs 16%, P =.005), and offering a seat on the bus (46% vs 24%, P =.04). Discussion: We conclude that genetic factors may play a role in decisions about organ donation and other altruistic behaviors. [ABSTRACT FROM AUTHOR]