Underinsurance And Multiple Surgical Treatments for Kidney Stones.

OBJECTIVE: To further elucidate the relationship between low socioeconomic status (SES) and larger, more complex stones requiring staged surgical interventions. Specifically, we aimed to determine if underinsurance (Medicaid, Medicare, and self-pay insurance types) is associated with multiple surgeries within 1 year. METHODS: We performed a retrospective longitudinal analysis of prospectively collected data from the California statewide Department of Health Care Access and Information (HCAI) dataset. We included adult patients who had their first recorded kidney stone encounter between 2009 and 2018 and underwent at least 1 urologic stone procedure. We followed these patients within the dataset for one year after their initial surgery to assess for factors predicting multiple surgical treatments for stones. RESULTS: A total of 156,319 adults were included in the study. The proportions of individuals in private insurance, Medicaid, Medicare and self-pay/indigent groups differed by the presence or absence of additional surgeries (64.0%, 13.5%, 19.4%, and 0.1%, vs 70.3%, 10.1%, 16.6%, and 0.1%, respectively). Compared to private insurance, Medicaid (1.46 [1.40-1.53] P < .001) and Medicare (1.15 [1.10-1.20] P < .001) insurance types were associated with significantly greater odds of multiple surgeries, whereas no significant association was seen in the self-pay/indigent insurance type (1.35 [0.83-2.19], P = 1.0). CONCLUSION: In a statewide, California database from 2009 to 2018, underinsured adults had higher odds of undergoing a second procedure for kidney stones within 1 year of initial surgical treatment. This study adds to the expanding body of literature linking suboptimal healthcare access and disparate outcomes for kidney stone patients.

Food Insecurity Among People With Cancer: Nutritional Needs as an Essential Component of Care.

A cancer diagnosis can upend work and family life, leading patients to reallocate resources away from essentials such as food. Estimates of the percentage of people navigating a cancer diagnosis and food insecurity range between 17% and 55% of the cancer patient population. The complexity of addressing food insecurity among those diagnosed with cancer during different phases of treatment is multifactorial and often requires an extensive network of support throughout each phase. This commentary explores the issue of food insecurity in the context of cancer care, explores current mitigation efforts, and offers a call to action to create a path for food insecurity mitigation in the context of cancer. Three programs that address food insecurity among those with cancer at various stages of care are highlighted, drawing attention to current impact and actionable recommendations to make programs like these scalable and sustainable. Recommendations are grounded in the National Academies of Sciences, Engineering, and Medicine social care framework through 5 essential domain areas: awareness, adjustment, assistance, alignment, and advocacy. This commentary seeks to highlight opportunities for the optimization of cancer care and reframe food access as an essential part of treatment and long-term care plans.

Community Income, Healthy Food Access, and Repeat Surgery for Kidney Stones.

OBJECTIVE: To determine if limited food access census tracts and food swamp census tracts are associated with increased risk for repeat kidney stone surgery. And to elucidate the relationship between community-level food retail environment relative to community-level income on repeat stone surgery over time. METHODS: Data were abstracted from the University of California, San Francisco Information Commons. Adult patients were included if they underwent at least one urologic stone procedure. Census tracts from available geographical data were mapped using Food Access Research Atlas data from the United States Department of Agriculture Economic Research Service. Kaplan-Meier curves were employed to illustrate time to a second surgical procedure over 5 years, and log-rank tests were used to test for statistically significant differences. A multivariate Cox regression model was used to generate hazard ratios for undergoing second surgery by group. RESULTS: A total of 1496 patients were included in this analysis. Repeat stone surgery occurred in 324 patients. Kaplan-Meier curves demonstrated a statistically significant difference in curves depicting patients living in low income census tracts (LICTs) vs those not living in LICTs (P <.001). On Cox regression models, patients in LICTs had significantly higher risk of undergoing repeat surgery (P = .011). Patients from limited food access census tracts and food swamp census tracts did not have a significantly higher adjusted risk of undergoing second surgery (P = .11 and P = .88, respectively). CONCLUSION: Income more so than food access associates with increased risk of repeat kidney stone surgery. Further research is needed to explore the interaction between low socioeconomic status and kidney stone outcomes.

Characteristics of Households of People With Diabetes Accessing US Food Pantries: Implications for Diabetes Self-Management Education and Support.

PURPOSE: The purpose of this study is to explore the associations between food insecurity (FI) and coping strategies of relevance to diabetes self-management among households of people with diabetes (HHDM) who access US food pantry programs. METHODS: The authors conducted a secondary data analysis of HHDM accessing US food pantry programs from the Hunger in America 2014 study (n = 16 826). Weighted analyses included descriptive statistics for household sociodemographics, food pantry service utilization, FI, and coping behaviors. The authors used chi-square and logistic regression to estimate the relationship between FI and coping behaviors. RESULTS: Nearly one-half of HHDM reported visiting food pantries at least 6 times in the past year. Most HHDM were FI, with the majority experiencing the most severe form of FI. Over one-fifth of households reported lacking health insurance. The majority of HHDM reported purchasing inexpensive unhealthy foods to ensure household food adequacy, and many reported watering down food and beverages. The odds of reporting these behaviors significantly increased as FI worsened. CONCLUSION: Food pantries represent an opportunity for the delivery of community-based diabetes self-management education and support programs. These programs should be adapted to address population barriers to self-management and to support access to healthful foods and medical care.

Changes in Food Insecurity and Smoking Status over Time: Analysis of the 2003 and 2015 Panel Study of Income Dynamics.

PURPOSE: To examine whether food insecurity longitudinally affects smoking status. DESIGN: Population-based prospective study. SETTING: Data from the 2003 and 2015 Panel Study of Income Dynamics (PSID). PARTICIPANTS: Four thousand five hundred sixty-three adults who were smokers and nonsmokers, participating in the 2003 (current study baseline) and 2015 (current study follow-up) waves of PSID. MEASURES: Based on self-reported smoking status at baseline and follow-up, respondents were categorized as continued smoking, stopped smoking, started smoking, and continued nonsmoking. Similarly, respondents were categorized as stayed food secure, stayed food insecure, became food insecure, and became food secure based on responses to the Food Security Survey at baseline and follow-up. ANALYSIS: Two logistic regression analyses to examine (1) among smokers at baseline the odds of stopping versus continuing smoking by follow-up and (2) among nonsmokers at baseline the odds of starting versus continuing nonsmoking by follow-up. In both models, change in food insecurity status was the primary independent variable, controlling for demographics including poverty. RESULTS: Among smokers at baseline, becoming food insecure (vs staying food secure) was independently associated with lower likelihood of stopping smoking by follow-up (odds ratio [OR] = 0.66). Among nonsmokers at baseline, becoming food insecure (vs staying food secure) was independently associated with higher likelihood of starting smoking by follow-up (OR = 3.77). CONCLUSIONS: Food insecurity is a risk factor for smoking, which has significant implications for developing interventions to reduce smoking prevalence, especially among low-income groups.

Lessons Learned from Implementation of the Food Insecurity Screening and Referral Program at Kaiser Permanente Colorado.

Traditionally, health care systems have addressed gaps in patients' diet quality with programs that provide dietary counseling and education, without addressing food security. However, health care systems increasingly recognize the need to address food security to effectively support population health and the prevention and management of diet-sensitive chronic illnesses. Numerous health care systems have implemented screening programs to identify food insecurity in their patients and to refer them to community food resources to support food security. This article describes barriers encountered and lessons learned from implementation and expansion of the Kaiser Permanente Colorado's clinical food insecurity screening and referral program, which operates in collaboration with a statewide organization (Hunger Free Colorado) to manage clinic-to-community referrals. The immediate goals of clinical screening interventions described in this article are to identify households experiencing food insecurity, to connect them to sustainable (federal) and emergency (community-based) food resources, to alleviate food insecurity, and to improve dietary quality. Additional goals are to improve health outcomes, to decrease health care utilization, to improve patient satisfaction, and to better engage patients in their care.

Income, food insecurity, and osteoporosis among older adults in the 2007-2008 National Health and Nutrition Examination Survey (NHANES).

BACKGROUND: Low SES is associated with risk and protective factors for osteoporosis. However, there has been little examination of SES and osteoporosis in the U.S. Methods: We conducted a cross-sectional study of adults aged 50 or older in 2007­2008 NHANES, examining two predictors of SES: income and food insecurity. Our outcome was osteoporosis assessed from bone scans. Adjusted regression models (overall and gender-stratified) controlled for age, gender, race/ethnicity, education, BMI, smoking, alcohol consumption, physical activity, calcium and vitamin D, and medication use. RESULTS: Of 2403 participants, 5% had osteoporosis. In adjusted models, there was a higher risk of osteoporosis in low-income (OR; 95% CI: 1.90;1.07­3.37) and food-insecure populations (3.48;1.43­8.48). There was a stronger association with food insecurity among women (4.91;2.40­10.0) than men (0.46;0.07­3.01). CONCLUSIONS: Income and food insecurity may have significant implications not just for immediate nutritional outcomes, but also for conditions such as osteoporosis that develop over the lifespan.

A metabolic-epidemiological microsimulation model to estimate the changes in energy intake and physical activity necessary to meet the Healthy People 2020 obesity objective.

OBJECTIVES: We combined a metabolic and an epidemiological model of obesity to estimate changes in calorie intake and physical activity necessary to achieve the Healthy People 2020 objective of reducing adult obesity prevalence from 33.9% to 30.5%. METHODS: We used the National Health and Nutrition Examination Survey (1999-2010) to construct and validate a microsimulation model of the US population aged 10 years and older, for 2010 to 2020. RESULTS: Obesity prevalence is expected to shift toward older adults, and disparities are expected to widen between White, higher-income groups and minority, lower-income groups if recent calorie consumption and expenditure trends continue into the future. Although a less than 10% reduction in daily calorie intake or increase in physical activity would in theory achieve the Healthy People 2020 objective, no single population-level intervention is likely to achieve the target alone, and individual weight-loss attempts are even more unlikely to achieve the target. CONCLUSIONS: Changes in calorie intake and physical activity portend rising inequalities in obesity prevalence. These changes require multiple simultaneous population interventions.

Treat or eat: food insecurity, cost-related medication underuse, and unmet needs.

BACKGROUND: Adults with chronic disease are often unable to meet medication and food needs, but no study has examined the relationship between cost-related medication underuse and food insecurity in a nationally representative sample. We examined which groups most commonly face unmet food and medication needs. METHODS: Cross-sectional analysis of data from chronically ill participants (self-report of arthritis, diabetes mellitus, cancer, asthma, chronic obstructive pulmonary disease, stroke, hypertension, coronary heart disease, or presence of a "psychiatric problem") aged ≥20 years, in the 2011 National Health Interview Survey. We fit logistic regression models to identify factors associated with food insecurity, cost-related medication underuse, or both. RESULTS: There were 9696 adult National Health Interview Survey (NHIS) participants who reported chronic illness; 23.4% reported cost-related medication underuse; 18.8% reported food insecurity; and 11% reported both. Adults who reported food insecurity were significantly more likely to report cost-related medication underuse (adjusted odds ratio [aOR] 4.03). Participants with both cost-related medication underuse and food insecurity were more likely to be Hispanic (aOR 1.58), non-Hispanic black (aOR 1.58), and have more chronic conditions (aOR per additional chronic condition 1.56) than patients reporting neither. They also were less likely to have public, non-Medicare insurance (aOR 0.70) and report participation in the Special Supplemental Nutrition Assistance Program for Woman, Infants, and Children (aOR 0.39). CONCLUSIONS: Approximately 1 in 3 chronically ill NHIS participants are unable to afford food, medications, or both. WIC and public health insurance participation are associated with less food insecurity and cost-related medication underuse.

Food insecurity in relation to changes in hemoglobin A1c, self-efficacy, and fruit/vegetable intake during a diabetes educational intervention.

OBJECTIVE: Food insecurity is hypothesized to make diabetes self-management more difficult. We conducted a longitudinal assessment of food insecurity with several diabetes self-care measures. RESEARCH DESIGN AND METHODS: We conducted a secondary, observational analysis of 665 low-income patients with diabetes, all of whom received self-management support as part of a larger diabetes educational intervention. We analyzed baseline food insecurity (measured by the U.S. Department of Agriculture Food Security module) in relation to changes in hemoglobin A1c (HbA1c) as well as self-reported diabetes self-efficacy and daily fruit and vegetable intake. We examined longitudinal differences using generalized estimating equation linear regression models, controlling for time, age, sex, race, income, and intervention arm. RESULTS: Overall, 57% of the sample had an income <$15,000. Participants who were food insecure (33%) were younger, had less income, and were more likely to be unemployed compared with participants who were food secure. At baseline, those who were food insecure had higher mean HbA1c values (8.4% vs. 8.0%) and lower self-efficacy and fruit and vegetable intake than those who were food secure (all P < 0.05). Compared with food-secure individuals, participants who were food insecure had significantly greater improvements in HbA1c over time (0.38% decrease compared with 0.01% decrease; P value for interaction <0.05) as well as in self-efficacy (P value for interaction <0.01). There was no significant difference in HbA1c by food security status at follow-up. CONCLUSIONS: Participants experiencing food insecurity had poorer diabetes-related measures at baseline but made significant improvements in HbA1c and self-efficacy. Low-income patients who were food insecure may be particularly receptive to diabetes self-management support, even if interventions are not explicitly structured to address finances or food security challenges.