Age at diagnosis and social risks among Black cancer survivors: Results from the Detroit Research on Cancer Survivors cohort.

BACKGROUND: Social risks are common among cancer survivors who have the fewest financial resources; however, little is known about how prevalence differs by age at diagnosis, despite younger survivors' relatively low incomes and wealth. METHODS: The authors used data from 3703 participants in the Detroit Research on Cancer Survivors (ROCS) cohort of Black cancer survivors. Participants self-reported several forms of social risks, including food insecurity, housing instability, utility shut-offs, not getting care because of cost or lack of transportation, and feeling unsafe in their home neighborhood. Modified Poisson models were used to estimate prevalence ratios and 95% confidence intervals (CIs) of social risks by age at diagnosis, controlling for demographic, socioeconomic, and cancer-related factors. RESULTS: Overall, 35% of participants reported at least one social risk, and 17% reported two or more risks. Social risk prevalence was highest among young adults aged 20-39 years (47%) followed by those aged 40-54 years (43%), 55-64 years (38%), and 65 years and older (24%; p for trend < .001). Compared with survivors who were aged 65 years and older at diagnosis, adjusted prevalence ratios for any social risk were 1.75 (95% CI, 1.42-2.16) for survivors aged 20-39 years, 1.76 (95% CI, 1.52-2.03) for survivors aged 40-54 years, and 1.41 (95% CI, 1.23-1.60) for survivors aged 55-64 years at diagnosis. Similar associations were observed for individual social risks and experiencing two or more risks. CONCLUSIONS: In this population of Black cancer survivors, social risks were inversely associated with age at diagnosis. Diagnosis in young adulthood and middle age should be considered a risk factor for social risks and should be prioritized in work to reduce the financial effects of cancer on financially vulnerable cancer survivors.

The Association of Frailty and Neighborhood Disadvantage with Emergency Department Visits and Hospitalizations in Older Adults.

BACKGROUND: Risk stratification and population management strategies are critical for providing effective and equitable care for the growing population of older adults in the USA. Both frailty and neighborhood disadvantage are constructs that independently identify populations with higher healthcare utilization and risk of adverse outcomes. OBJECTIVE: To examine the joint association of these factors on acute healthcare utilization using two pragmatic measures based on structured data available in the electronic health record (EHR). DESIGN: In this retrospective observational study, we used EHR data to identify patients aged ≥ 65 years at Atrium Health Wake Forest Baptist on January 1, 2019, who were attributed to affiliated Accountable Care Organizations. Frailty was categorized through an EHR-derived electronic Frailty Index (eFI), while neighborhood disadvantage was quantified through linkage to the area deprivation index (ADI). We used a recurrent time-to-event model within a Cox proportional hazards framework to examine the joint association of eFI and ADI categories with healthcare utilization comprising emergency visits, observation stays, and inpatient hospitalizations over one year of follow-up. KEY RESULTS: We identified a cohort of 47,566 older adults (median age = 73, 60% female, 12% Black). There was an interaction between frailty and area disadvantage (P = 0.023). Each factor was associated with utilization across categories of the other. The magnitude of frailty's association was larger than living in a disadvantaged area. The highest-risk group comprised frail adults living in areas of high disadvantage (HR 3.23, 95% CI 2.99-3.49; P < 0.001). We observed additive effects between frailty and living in areas of mid- (RERI 0.29; 95% CI 0.13-0.45; P < 0.001) and high (RERI 0.62, 95% CI 0.41-0.83; P < 0.001) neighborhood disadvantage. CONCLUSIONS: Considering both frailty and neighborhood disadvantage may assist healthcare organizations in effectively risk-stratifying vulnerable older adults and informing population management strategies. These constructs can be readily assessed at-scale using routinely collected structured EHR data.

North Carolina's Medicaid Transformation: the Early Enrollee Experience.

INTRODUCTION: On July 1, 2021, North Carolina's Medicaid Transformation mandatorily switched 1.6 million Medicaid beneficiaries from fee-for-service to managed care plans. We examined the early enrollee experience in terms of engagement in plan selection, provider continuity, use of primary care visits, and assistance with social needs. METHODS: Using electronic health records (EHR) covering pre- and post-transition periods (1/1/2019-5/31/2022) from the largest provider network in western North Carolina, we identified all children and adults under age 65 with continuous Medicaid or private coverage. We conducted primary surveys of a random sample of Medicaid-covered enrollees and obtained self-reported rates of engagement in plan selection, continuity of provider access, and receipt of social need assistance. We used comparative interrupted time series models to estimate the relative change in primary care visits associated with the transition. RESULTS: Our EHR-based study cohorts included 4859 Medicaid and 5137 privately insured enrollees, with 398 Medicaid enrollees in the primary surveys. We found that 77.3% of survey participants reported that the managed care plan they were on was not chosen but automatically assigned to them, 13.1% reported insufficient information about the transition, and 19.2% reported lacking assistance with plan choice. We found that 5.9% were assigned to a different primary care provider. Over 29% reported not receiving any additional social need assistance. The transition was associated with a 7.1% reduction (95% CI, -11.5 to -2.7%) in the volume of primary care visits among Medicaid enrollees relative to privately insured enrollees. CONCLUSIONS: Medicaid enrollees in North Carolina may have had limited awareness and engagement in the transition process and experienced a reduction in primary care visits. As the state's transition process gains a foothold, future policy needs to improve enrollee engagement and develop evidence on healthcare utilization and patient outcomes.

Evaluation of "Care Plus," A Multidisciplinary Program to Improve Population Health for Patients With High Utilization.

With rising health care costs, health systems have adopted alternative care models targeting high-need, high-cost patients to improve chronic disease management and population health. Intensive primary care teams may reduce health care utilization by tackling medical and psychosocial needs specific to this patient population. This study presents health care utilization trends from a high-intensity primary care program that employs a multidisciplinary team (including clinicians, psychologists, pharmacists, chaplaincy, and community health workers) and community partnerships. Using descriptive statistics and Poisson rates of differences, this study evaluates patient and utilization characteristics of those enrolled (n = 341) versus declined (n = 54) program participation from 2013 to 2020. Both enrolled and declined patients experienced significant reduction in emergency department and inpatient utilization, but differences between enrolled and declined patients were not statistically significant. Programs aimed at decreasing health care utilization for high-need, high-cost, medically complex patients may be best supported by interventions that simultaneously address social and behavioral health needs.

Perceptions of North Carolina's Medicaid Transformation: A Qualitative Study.

BACKGROUND: In 2021, North Carolina switched 1.6 million beneficiaries from a fee-for-service Medicaid model to a managed care system. The state prepared beneficiaries with logistical planning and a communications plan. However, the rollout occurred during the COVID-19 pandemic, creating significant challenges. Little is known about how Medicaid Transformation impacted the experience of Medicaid enrollees. METHODS: We conducted four focus groups (N = 22) with Medicaid beneficiaries from January to March 2022 to gain insight into their experience with Medicaid Transformation. A convenience sample was recruited. Focus groups were recorded, transcribed verbatim, and verified. A codebook was developed using inductive and deductive codes. Two study team members independently coded the transcripts; discrepancies were resolved among the research team. Themes were derived by their prevalence and salience within the data. RESULTS: We identified four major themes: 1) Participants expressed confusion about the signup process; 2) Participants had a limited understanding of their new plans; 3) Participants expressed difficulty accessing services through their plans; and 4) Participants primarily noted negative changes to their care. These findings suggest that Medicaid enrollees felt unsupported during the enrollment process and had difficulty accessing assistance to gain a better understanding of their plans and new services. LIMITATIONS: Participants were recruited from a single institution in the Southeastern United States; results may not be transferable to other institutions. Participants were likely not representative of all Medicaid Transformation beneficiaries; only English-speaking participants were included. CONCLUSION: As the transition process continues, the North Carolina Medicaid program can benefit from integrating recommendations identified by member input to guide strategies for addressing whole-person care.

Social Risk Factors Influence Pediatric Emergency Department Utilization and Hospitalizations.

OBJECTIVE: To characterize the association of children's social risk factors with total number of emergency department (ED) visits or hospitalization and time to first subsequent ED or hospitalization. STUDY DESIGN: This was a retrospective cohort study of patients seen at a general pediatric clinic between 2017 and 2021 with documented ≥1 social risk factors screened per visit. Negative binomial or Poisson regression modeled ED utilization and hospitalizations as functions of the total number of risk factors or each unique risk factor. Time-varying Cox models were used to evaluate differences between those who screened positive and those who screened negative, controlling for demographic and clinical covariates. RESULTS: Overall, 4674 patients (mean age, 6.6 years; 49% female; 64% Hispanic; 21% Black) were evaluated across a total of 20 927 visits. Children with risk factors had higher rates of attention-deficit hyperactivity disorder, failure to gain weight, asthma, and prematurity compared with children with no risk (all P < .01). Adjusted models show a positive association between increased total number of factors and ED utilization (incidence rate ratio [IRR], 1.18; 95% CI, 1.12-1.23) and hospitalizations (IRR, 1.36; 95% CI, 1.26-1.47). There were no associations between a positive screen and time to first ED visit (hazard ratio [HR], 0.95; 95% CI, 0.85-1.06; P = .36) or hospitalization (HR, 1.15; 95% CI, 0.84-1.59; P = .40). CONCLUSIONS: Social risk factors were associated with increased ED utilization and hospitalizations at the patient level but were not significantly associated with time to subsequent acute care use. Future research should evaluate the effect of focused interventions on health care utilization, such as those addressing food insecurity and transportation challenges.

Changes in Food Insecurity and Changes in Patient-Reported Outcomes: a Nationally Representative Cohort Study.

BACKGROUND: Cross-sectional studies have found that health-related quality of life and mental health are worse among food-insecure compared with food-secure individuals. However, how these outcomes change as food insecurity changes is unclear. OBJECTIVE: To evaluate how common patient-reported health-related quality of life and mental health scales change in response to changes in food security. DESIGN: Retrospective cohort study using data representative of the civilian, adult, non-institutionalized population of the USA. PARTICIPANTS: Food insecure adults who completed the 2016-2017 Medical Expenditure Panel Survey. MAIN MEASURES: Mental health, as measured by the mental component score of the Veterans Rand 12-Item Health Survey (VR-12) (primary outcome), along physical health (physical component score of the VR-12), self-rated health status, psychological distress (Kessler 6), depressive symptoms (PHQ2), and the SF-6D measure of health utility. We fit linear regression models adjusted for baseline outcome level, age, gender, race/ethnicity, education, health insurance, and family size followed by predictive margins to estimate the change in outcome associated with a 1-point improvement in food security. KEY RESULTS: A total of 1,390 food-insecure adults were included. A 1-point improvement in food security was associated with a 0.38 (95%CI 0.62 to 0.14)-point improvement in mental health, a 0.15 (95%CI 0.02 to 0.27)-point improvement in psychological distress, a 0.05 (95%CI 0.01 to 0.09)-point improvement in depressive symptoms, and a 0.003 (95%CI 0.000 to 0.007)-point improvement in health utility. Point estimates for physical health and self-rated health were in the direction of improvement, but were not statistically significant. CONCLUSIONS: Improvement in food insecurity was associated with improvement in several patient-reported outcomes. Further work should investigate whether similar changes are seen in food insecurity interventions, and the most useful scales for assessing changes in health-related quality of life and mental health in food insecurity interventions.

Supplemental Nutrition Assistance Program Participation and Health Care Use in Older Adults : A Cohort Study.

BACKGROUND: Older adults dually eligible for Medicare and Medicaid have particularly high food insecurity prevalence and health care use. OBJECTIVE: To determine whether participation in the Supplemental Nutrition Assistance Program (SNAP), which reduces food insecurity, is associated with lower health care use and cost for older adults dually eligible for Medicare and Medicaid. DESIGN: An incident user retrospective cohort study design was used. The association between participation in SNAP and health care use and cost using outcome regression was assessed and supplemented by entropy balancing, matching, and instrumental variable analyses. SETTING: North Carolina, September 2016 through July 2020. PARTICIPANTS: Older adults (aged ≥65 years) dually enrolled in Medicare and Medicaid but not initially enrolled in SNAP. MEASUREMENTS: Inpatient admissions (primary outcome), emergency department visits, long-term care admissions, and Medicaid expenditures. RESULTS: Of 115 868 persons included, 5093 (4.4%) enrolled in SNAP. Mean follow-up was approximately 22 months. In outcome regression analyses, SNAP enrollment was associated with fewer inpatient hospitalizations (-24.6 [95% CI, -40.6 to -8.7]), emergency department visits (-192.7 [CI, -231.1 to -154.4]), and long-term care admissions (-65.2 [CI, -77.5 to -52.9]) per 1000 person-years as well as fewer dollars in Medicaid payments per person per year (-$2360 [CI, -$2649 to -$2071]). Results were similar in entropy balancing, matching, and instrumental variable analyses. LIMITATION: Single state, no Medicare claims data available, and possible residual confounding. CONCLUSION: Participation in SNAP was associated with fewer inpatient admissions and lower health care costs for older adults dually eligible for Medicare and Medicaid. PRIMARY FUNDING SOURCE: National Institutes of Health.

The experiences of community organizations partnering with a medical school to improve students' understanding of the social determinants of health: A qualitative study.

PURPOSE: There has been increasing interest among national organizations for medical schools to provide students experiential training in the social determinants of health (SDH) through community partnerships. Despite this interest, there is limited data about how these experiential activities can be designed most effectively, and community organizations' views of partnering with medical schools on these curricula is unknown. The authors' objective was to determine community organizations' and clinical clerkship directors' perceptions of the benefits and challenges of utilizing academic-community partnerships to improve medical students' understanding of the SDH. METHODS: The authors conducted a qualitative study consisting of open-ended, semi-structured interviews (between 2018 and 2021). All community organizations and clinical clerkship directors who partnered with a health equity curriculum were eligible to participate. Semi-structured interviews elicited participants' perceptions of the academic-community partnership; experience with the curriculum and the students; and recommendations for improving the curriculum. All interviews were audio recorded and transcribed. The authors used a directed content analysis approach to code the interviews inductively and identified emerging themes through an iterative process. RESULTS: Of the fifteen participants interviewed, ten were from community organizations and five from clinical clerkships. Three primary themes emerged: (1) community organizations felt educating students about the SDH aligned with the organization's mission and they benefited from consistent access to volunteers; (2) students benefited through greater exposure to the SDH; (3) participants suggested standardizing students' experiences, ensuring the students and organizations are clear about the goals and expectations, and working with organizations that have experience with or the capacity for a large volume of volunteers as ways to improve the experiential activity. CONCLUSION: This study found that community organizations were very willing to partner with a medical school to provide students experiential learning about the SDH, and this partnership was beneficial for both the students and the organizations.

Experimental Effects of Tweets Encouraging Social Distancing: Effects of Source, Emotional Appeal, and Political Ideology on Emotion, Threat, and Efficacy.

CONTEXT: Public health officials and celebrities use social media to provide guidance to reduce the spread of COVID-19. Messages apply different promotional strategies to motivate behavior change, likely yielding divergent reactions from partisan audiences. The Extended Parallel Process Model (EPPM) suggests that perceived threat for a negative outcome should impact perceived need for the advocated health behavior, which should be more appealing to an audience if perceived it to be efficacious and feasible. OBJECTIVE: This study examines the interactive effects of Tweet source, message emotional appeal, and audience political affiliation on US adults' perceptions of COVID-19 threat and social distancing efficacy during early months of the pandemic. DESIGN AND SETTING: This online survey experiment applies the EPPM to assess US adults' reactions to tweets encouraging social distancing. The experiment tests 3 emotional appeals (fear, humor, and neutral) and 2 sources (Centers for Disease Control and Prevention [CDC] and celebrity) on adults' emotional reactions and perceptions of COVID-19 threat and social distancing efficacy. PARTICIPANTS: The final sample included 415 US adults (242 Democrat and 173 Republican) recruited through Amazon's Mechanical Turk. MAIN OUTCOME MEASURES: Outcome measures were adapted from the EPPM and include perceived susceptibility to and severity of COVID-19, and response efficacy and self-efficacy regarding social distancing. Each was measured through the survey on a 7-point response scale. RESULTS: Humor and fear appeal messages evoked less fear and guilt responses than a neutral tweet from the CDC. Fear and guilt emotions predicted greater perceived threat, while hope and pride predicted efficacy constructs in relationships moderated by political ideology. CONCLUSIONS: Public health messages targeting a bipartisan audience through social media may increase perceived threat by inducing fear of COVID-19 infection. EPPM theory suggests boosting efficacy is also critical to message acceptance and behavior change; thus, inducing feelings of hope and pride in addition to fear may be particularly effective.

Association between food insecurity and access to a mental health professional: cross-sectional analysis of NHANES 2007-2014.

BACKGROUND: To determine if individuals with food insecurity (FI) were less likely to have seen a mental health professional (MHP) within the past year than individuals without FI. METHODS: This is a cross-sectional analysis of data from the National Health and Nutrition Examination Survey (NHANES) conducted in the United States between 2007 and 2014. All participants 20 years of age or older were eligible for this study. We excluded participants who were pregnant, missing FI data, or missing data from the Patient Health Questionnaire (PHQ-9). The primary outcome was self-reported contact with a MHP in the past 12 months. We used multivariable logistic regression models to test the association between FI and contact with a MHP, controlling for all demographic and clinical covariates. RESULTS: Of the 19,789 participants, 13.9% were food insecure and 8.1% had major depressive disorder (MDD). In bivariate analysis, participants with FI were significantly more likely to have MDD (5.3% vs 2.8%, p < 0.0001) and to have been seen by a MHP in the preceding 12 months (14.0% vs 6.9%, p < 0.0001). In multivariable models, adults with FI had higher odds of having seen a MHP (OR = 1.32, CI: 1.07, 1.64). CONCLUSIONS: This study demonstrates that individuals with FI were significantly more likely to have seen a MHP in the preceding 12 months compared to individuals without FI. Given the growing interest in addressing unmet social needs in healthcare settings, this data suggests that visits with MHPs may be a valuable opportunity to screen for and intervene on FI.

Trends in food insecurity rates at an academic primary care clinic: a retrospective cohort study.

BACKGROUND: Healthcare organizations are increasingly screening and addressing food insecurity (FI); yet, limited data exists from clinic-based settings on how FI rates change over time. The objective of this study was to evaluate household FI trends over a two-year period at a clinic that implemented a FI screening and referral program. METHODS: In this retrospective cohort study, data were extracted for all visits at one academic primary care clinic for all children aged 0-18 years whose parents/guardians had been screened for FI at least once between February 1, 2018 to February 28, 2019 (Year 1) and screened at least once between March 1, 2019 to February 28, 2020 (Year 2). Bivariate analyses tested for differences in FI and demographics using chi-square tests. Mixed effects logistic regression was used to assess change in FI between Years 1 and 2 with random intercept for participants controlling for covariates. The interaction between year and all covariates was evaluated to determine differences in FI change by demographics. RESULTS: Of 6182 patients seen in Year 1, 3691 (59.7%) were seen at least once in Year 2 and included in this study. In Year 1, 19.6% of participants reported household FI, compared to 14.1% in Year 2. Of those with FI in Year 1, 40% had FI in Year 2. Of those with food security in Year 1, 92.3% continued with food security in Year 2. Compared to Hispanic/Latinx participants, African American/Black (OR: 3.53, 95% CI: 2.33, 5.34; p < 0.001) and White (OR: 1.88, 95% CI: 1.06, 3.36; p = 0.03) participants had higher odds of reporting FI. African American/Black participants had the largest decrease in FI between Years 1 and 2 (- 7.9, 95% CI: - 11.7, - 4.1%; p < 0.0001). CONCLUSIONS: Because FI is transitional, particularly for racial/ethnic minorities, screening repeatedly can identify families situationally experiencing FI.

Food Insecurity Is Associated with an Increased Prevalence of Comorbid Medical Conditions in Obese Adults: NHANES 2007-2014.

BACKGROUND: Numerous studies have examined if food insecurity (FI) leads to increased weight gain, but little is known about how FI affects obese participants. OBJECTIVE: Our objective was to determine if obese, food-insecure adults are more likely to have medical comorbidities than obese, food-secure adults. DESIGN: We conducted a cross-sectional study using the 2007-2014 National Health and Nutrition Examination Survey (NHANES). PARTICIPANTS: All obese participants (≥ 20 years) in NHANES were eligible. Participants who were pregnant or missing FI data were excluded. MAIN MEASURES: The primary exposure was household FI, and the primary outcome was the total number of obesity-related comorbidities. Secondary outcomes evaluated the association between FI and individual comorbidities. Propensity score weighting was used to improve covariate balance. We used negative binomial regression to test the association between FI and the total number of comorbidities. We used logistic regression to test the association between FI and individual comorbidities. KEY RESULTS: Of the 9203 obese participants, 15.6% were food insecure. FI (ß = 0.09, 95% CI: 0.02, 0.15; p = 0.01) and very low food security (ß = 0.17, 95% CI: 0.07, 0.28; p = 0.003) were associated with an increased number of comorbidities. In secondary analyses, FI was associated with increased odds of coronary artery disease (OR: 1.5, 95% CI: 1.1, 2.0) and asthma (OR: 1.3, 95% CI: 1.1, 1.6). Very low food security was associated with increased odds of coronary artery disease, diabetes, and asthma. CONCLUSION: Obese adults living in food-insecure households were more likely to have an increased number of comorbid conditions than obese adults living in food-secure households. Clinicians should be aware of the association between FI and comorbid medical conditions when treating patients with obesity.

Relationship between food insecurity and high blood pressure in a national sample of children and adolescents.

OBJECTIVES: To determine the relationship between food insecurity (FI) and high blood pressure (BP) in a national cohort of children and adolescents. METHODS: A cross-sectional analysis of children aged 8-17 years in the 2007-2014 National Health and Nutrition Examination Survey (NHANES; unweighted N = 7125). FI over the preceding 12 months was assessed using the USDA Household Food Security Scale in NHANES. We defined high BP as (i) systolic or diastolic BP ≥ 90% for age < 13 years or ≥ 120/80 mmHg for age ≥ 13 years measured at one visit or (ii) reported hypertension diagnosis or current antihypertensive medication use. We used multivariable logistic regression to determine the association between household and child-specific FI and high BP, controlling for age, sex, race, and household income, accounting for the complex NHANES survey design. RESULTS: The study population was 14.4% black, 21.3% Hispanic, and 49.4% female with a mean age of 12.6 years (SD 2.9). 20.3% had FI and 12.8% had high BP. High BP was more common in household FI vs. food-secure subjects (15.3% vs. 12.1%, p = 0.003). Adjusted analysis confirmed that household FI and child FI were associated with high BP (OR 1.26, 95% CI 1.04-1.54; OR 1.42, 95% CI 1.03-1.96, respectively). CONCLUSIONS: Household and child FI were associated with an increased likelihood of high BP in a large nationally representative cohort of children and adolescents. FI may have a significant impact on cardiovascular health during childhood. Further research is warranted to better define how FI contributes to health disparities.

Association between state school nutrition laws and subsequent child obesity.

Many states have enacted laws to improve school nutrition. We tested whether stronger state nutrition laws are associated with subsequently decreased obesity. We conducted a retrospective national multi-year panel data study (analyzed 2014-2016 at the Children's Hospital of Philadelphia). The predictors were 2010 laws regarding 9 nutrition categories from the Classification of Laws Associated with School Students, which grades the strength of state laws (none, weak, or strong). The outcome was weight status (healthy weight, overweight, or obese) in elementary, middle, and high school from the 2011/2012 National Survey of Children's Health. We tested the association between the strength of laws and weight using multinomial logistic regression. To further evaluate our main results, we conducted state-level longitudinal analyses testing the association between competitive food and beverage laws on the change in obesity from 2003-2011. In main analyses of 40,177 children ages 10-17years, we found strong state laws restricting the sale of competitive food and beverages in elementary school (OR: 0.68; 95% CI: 0.48, 0.96) and strong advertising laws across all grades (OR: 0.63; 95% CI: 0.46, 0.86) were associated with reduced odds of obesity. In longitudinal analyses, states with strong competitive food and beverage laws from 2003-2010 had small but significant decreases in obesity, compared to states with no laws. Although further research is needed to determine the causal effect of these laws, this study suggests that strong state laws limiting the sale and advertising of unhealthy foods and beverages in schools are associated with decreased obesity rates.

Discrepancies in After-Hours Communication Attitudes between Pediatric Residents and Supervising Physicians.

OBJECTIVE: To examine differences in expectations when a resident should contact a supervising physician in several hospital-based, after-hours clinical circumstances. STUDY DESIGN: We developed 34 scenarios collectively considered the most common or serious issues encountered by on-call residents, and incorporated them into a survey of pediatric residents, fellows, and attendings. For each scenario, participants were asked whether the resident should talk to the attending/fellow immediately or delay communication until the next day. ORs comparing attendings/fellows and residents were calculated, and subgroup analyses were performed examining differences among the study populations. RESULTS: A total of 112 participants completed the survey (91% response rate). In 17 of the 34 scenarios (50%), more attendings/fellows than residents asked for immediate communication (OR >1; P < .05). Most discrepant scenarios were in uncertain areas in which residents may feel comfortable managing the issue without supervisory input or, alternatively, fail to recognize an evolving matter or a deteriorating clinical status. In subgroup analyses, residents were homogeneous in their responses; however, responses of fellows and junior faculty differed from those of senior faculty in 7 of the 34 scenarios, with senior attendings more likely desiring immediate communication. CONCLUSION: We found differences in expectations of when a pediatric resident should contact a supervising physician after hours not only between residents and attendings/fellows, but among attendings themselves. These differences could lead to medical errors, miscommunication, and inconsistent supervision for overnight residents.

Understanding food insecurity risk in the United States: A longitudinal analysis.

Background: Food insecurity, lack of consistent access to the food needed for an active, healthy life, harms population health. Although substantial biomedical evidence examines the connections between food insecurity and health, fewer studies examine why food insecurity occurs. Methods: We propose a conceptual understanding of food insecurity risk based on institutions that distribute income-the factor payment system (income distribution stemming from paid labor and asset ownership), transfers within households, and the government tax-and-transfer system. A key feature of our understanding is 'roles' individuals inhabit in relation to the factor payment system: child, older adult, disabled working-age adult, student, unemployed individual, caregiver, or paid laborer. A second feature is that the roles of others in an individual's household also affect an individual's food insecurity risk. We tested hypotheses implied by this understanding, particularly hypotheses relating to role, household composition, and income support programs, using nationally-representative, longitudinal U.S. Current Population Survey data (2016-2019). Results: There were 16,884 participants (year 1 food insecurity prevalence: 10.0%). Inhabiting roles of child (Relative Risk [RR] 1.79, 95% Confidence Interval [95%CI] 1.67 to 1.93), disabled working age-adult (RR 3.74, 95%CI 3.25 to 4.31), or unemployed individual (RR 3.29, 95%CI 2.51 to 4.33) were associated with a greater risk of food insecurity than being a paid laborer. Most food insecure households, 74.8%, had members inhabiting roles of child or disabled working age-adult, and/or contained individuals who experienced job loss. Similar associations held when examining those transitioning from food insecurity to food security in year 2. Conclusions: The proposed understanding accords with the pattern of food insecurity risk observed in the U.S. An implication is that transfer income programs for individuals inhabiting roles, such as childhood and disability, that limit factor payment system participation may reduce food insecurity risk for both those individuals and those in their household.

Accuracy of a Single Financial Security Question to Screen for Social Needs.

OBJECTIVES: Screening for social needs is recommended during clinical encounters but multi-item questionnaires can be burdensome. We evaluate if a single question about financial stress can be used to prescreen for food insecurity, housing instability, or transportation needs. METHODS: We use retrospective medical record data from children (<11 years) seen at 45 primary pediatric care offices in 2022. Social needs screening was automated at well child visits and could be completed by the parent/guardian via the patient portal, tablet in the waiting room, or verbally with staff. We report the area under the receiver operating curve for the 5 response options of the financial stress question as well as sensitivity and specificity of the financial stress question ("not hard at all" vs any other response) to detect other reported social needs. RESULTS: Of 137 261 eligible children, 130 414 (95.0%) had social needs data collected. Seventeen percent of respondents reported a housing, food, or transportation need. The sensitivity of the financial stress question was 0.788 for any one or more of the 3 other needs, 0.763 for food insecurity, 0.743 for housing instability, and 0.712 for transportation needs. Using the financial stress question as the first-step of a screening process would miss 9.7% of the families who reported food insecurity, 22.6% who reported housing instability, and 33.0% who reported transportation needs. CONCLUSIONS: A single question screener about financial stress does not function well as a prescreen because of low sensitivity to reports of food insecurity, housing instability, and transportation needs.

Feasibility of Using Text Messaging to Identify and Assist Patients With Hypertension With Health-Related Social Needs: Cross-Sectional Study.

BACKGROUND: Health-related social needs are associated with poor health outcomes, increased acute health care use, and impaired chronic disease management. Given these negative outcomes, an increasing number of national health care organizations have recommended that the health system screen and address unmet health-related social needs as a routine part of clinical care, but there are limited data on how to implement social needs screening in clinical settings to improve the management of chronic diseases such as hypertension. SMS text messaging could be an effective and efficient approach to screen patients; however, there are limited data on the feasibility of using it. OBJECTIVE: We conducted a cross-sectional study of patients with hypertension to determine the feasibility of using SMS text messaging to screen patients for unmet health-related social needs. METHODS: We randomly selected 200 patients (≥18 years) from 1 academic health system. Patients were included if they were seen at one of 17 primary care clinics that were part of the academic health system and located in Forsyth County, North Carolina. We limited the sample to patients seen in one of these clinics to provide tailored information about local community-based resources. To ensure that the participants were still patients within the clinic, we only included those who had a visit in the previous 3 months. The SMS text message included a link to 6 questions regarding food, housing, and transportation. Patients who screened positive and were interested received a subsequent message with information about local resources. We assessed the proportion of patients who completed the questions. We also evaluated for the differences in the demographics between patients who completed the questions and those who did not using bivariate analyses. RESULTS: Of the 200 patients, the majority were female (n=109, 54.5%), non-Hispanic White (n=114, 57.0%), and received commercial insurance (n=105, 52.5%). There were no significant differences in demographics between the 4446 patients who were eligible and the 200 randomly selected patients. Of the 200 patients included, the SMS text message was unable to be delivered to 9 (4.5%) patients and 17 (8.5%) completed the social needs questionnaire. We did not observe a significant difference in the demographic characteristics of patients who did versus did not complete the questionnaire. Of the 17, a total of 5 (29.4%) reported at least 1 unmet need, but only 2 chose to receive resource information. CONCLUSIONS: We found that only 8.5% (n=17) of patients completed a SMS text message-based health-related social needs questionnaire. SMS text messaging may not be feasible as a single modality to screen patients in this population. Future research should evaluate if SMS text message-based social needs screening is feasible in other populations or effective when paired with other screening modalities.