Food Insecurity in Older Adults in an Integrated Health Care System

Impact of hospital and health system initiatives to address Social Determinants of Health (SDOH) in the United States: a scoping review of the peer-reviewed literature

BACKGROUND

Hospital and health system initiatives addressing Social Determinants of Health (SDOH) are essential for achieving whole-person care and advancing health equity. Building on prior research characterizing these efforts (Part 1), this scoping review (Part 2) evaluates the effectiveness of these initiatives, with a focus on SDOH data integration, EHR utilization, and the broader scope of hospital efforts in addressing individual- and system-level determinants of health. Using an integrated conceptual framework combining the DeVoe & Cottrell framework for operational assessment and the National Academy of Medicine (NAM) 5A framework for systemic evaluation, this study provides a multidimensional assessment of hospital-based SDOH interventions.

METHODS

Guided by PRISMA-ScR criteria, this review analyzed 41 U.S.-based studies published between 2018 and 2023, identified through three academic databases. Eligible studies examined hospital initiatives addressing SDOH with measurable outcomes. Analyses assessed SDOH data collection, integration into care practices, EHR use, and overall initiative effectiveness.

RESULTS

Most studies (66%) were randomized controlled trials in urban settings (68%), targeting patients with chronic or mental health conditions (39%) or high-risk healthcare users (20%). Nearly half of initiatives (49%) addressed multiple SDOH domains, focusing on Social & Community Context, Economic Stability, and Neighborhood & Built Environment. Only 24% of initiatives utilized EHRs for SDOH data collection. EHR-based initiatives demonstrated significantly higher adherence to evidence-based practices, including use of community resource guides for referrals (90% vs. 45%, p = 0.013). Across all outcome measures, 79% demonstrated improvement, with no instances of worsening outcomes. However, 85% of initiatives lacked community-level SDOH data integration, and few employed upstream, universal strategies. Process, clinical, and social outcomes were unevenly prioritized, with only 10% of studies addressing all three outcome types.

CONCLUSIONS

While these initiatives reflect progress in integrating SDOH into care workflows and improving whole-person care at the individual level, progress toward health equity remains insufficient. Persistent gaps in EHR use, community-level data integration, and upstream strategies hinder systemic impact, potentially perpetuating disparities. Strengthening SDOH-EHR integration, fostering community partnerships, and supporting policy advocacy are critical to bridging individual and community needs. Future research should emphasize long-term, sustainable, and community-level impacts of hospital-led SDOH interventions.

A socioeconomic disadvantage index for informing policy, systems, and environmental change interventions for senior nutrition programs

Identifying socioeconomic disparities within a local area is critical for tailoring policy solutions to older adult populations. However, a comprehensive index for characterizing socioeconomic disadvantage for older adult households in the U.S. is yet to be developed. This study is the first of its kind and used secondary data from the U.S. Census to develop a new socioeconomic disadvantage index for adults older than 60 years, with a focus on food insecurity, for a large region in Central Texas. The Older Adult Socioeconomic Disadvantage Index (OASDI) includes 12 variables related to unmet needs for food, housing, healthcare access, and transportation, and others at the census tract level. For each variable, the values were ranked based on quintiles using ArcGIS Pro 3.2. An unweighted sum was used to create the OASDI, where a higher score indicated greater socioeconomic disadvantage. Choropleth maps were used to visualize the OASDI and persistent poverty for all census tracts within the study area. The OASDI was used to statistically compare two local policy regions for senior nutrition programs in the Austin and San Antonio, Texas metro areas. Results showed a greater socioeconomic disadvantage in the San Antonio region compared to the Austin region (Mann-Whitney-U = 198,303; p < 0.0001). The statistical analysis identified an area with extreme disadvantage relative to the local policy region and confirmed with member checking. Findings provided insights into local socioeconomic disparities at different levels and can be applied to advocate for policies, systems, and environmental changes for senior nutrition.

Food Insecurity and Hypoglycemia among Older Patients with Type 2 Diabetes Treated with Insulin or Sulfonylureas: The Diabetes & Aging Study

BACKGROUND

Severe hypoglycemia is a serious adverse drug event associated with hypoglycemia-prone medications; older patients with diabetes are particularly at high risk. Economic food insecurity (food insecurity due to financial limitations) is a known risk factor for hypoglycemia; however, less is known about physical food insecurity (due to difficulty cooking or shopping for food), which may increase with age, and its association with hypoglycemia.

OBJECTIVE

Study associations between food insecurity and severe hypoglycemia.

DESIGN

Survey based cross-sectional study.

PARTICIPANTS

Survey responses were collected in 2019 from 1,164 older (≥ 65 years) patients with type 2 diabetes treated with insulin or sulfonylureas.

MAIN MEASURES

Risk ratios (RR) for economic and physical food insecurity associated with self-reported severe hypoglycemia (low blood glucose requiring assistance) adjusted for age, financial strain, HbA1c, Charlson comorbidity score and frailty. Self-reported reasons for hypoglycemia endorsed by respondents.

KEY RESULTS

Food insecurity was reported by 12.3% of the respondents; of whom 38.4% reported economic food insecurity only, 21.1% physical food insecurity only and 40.5% both. Economic food insecurity and physical food insecurity were strongly associated with severe hypoglycemia (RR = 4.3; p = 0.02 and RR = 4.4; p = 0.002, respectively). Missed meals ("skipped meals, not eating enough or waiting too long to eat") was the dominant reason (77.5%) given for hypoglycemia.

CONCLUSIONS

Hypoglycemia prevention efforts among older patients with diabetes using hypoglycemia-prone medications should address food insecurity. Standard food insecurity questions, which are used to identify economic food insecurity, will fail to identify patients who have physical food insecurity only.

Characteristics of hospital and health system initiatives to address social determinants of health in the United States: a scoping review of the peer-reviewed literature

Background

Despite the incentives and provisions created for hospitals by the US Affordable Care Act related to value-based payment and community health needs assessments, concerns remain regarding the adequacy and distribution of hospital efforts to address SDOH. This scoping review of the peer-reviewed literature identifies the key characteristics of hospital/health system initiatives to address SDOH in the US, to gain insight into the progress and gaps.

Methods

PRISMA-ScR criteria were used to inform a scoping review of the literature. The article search was guided by an integrated framework of Healthy People SDOH domains and industry recommended SDOH types for hospitals. Three academic databases were searched for eligible articles from 1 January 2018 to 30 June 2023. Database searches yielded 3,027 articles, of which 70 peer-reviewed articles met the eligibility criteria for the review.

Results

Most articles (73%) were published during or after 2020 and 37% were based in Northeast US. More initiatives were undertaken by academic health centers (34%) compared to safety-net facilities (16%). Most (79%) were research initiatives, including clinical trials (40%). Only 34% of all initiatives used the EHR to collect SDOH data. Most initiatives (73%) addressed two or more types of SDOH, e.g., food and housing. A majority (74%) were downstream initiatives to address individual health-related social needs (HRSNs). Only 9% were upstream efforts to address community-level structural SDOH, e.g., housing investments. Most initiatives (74%) involved hot spotting to target HRSNs of high-risk patients, while 26% relied on screening and referral. Most initiatives (60%) relied on internal capacity vs. community partnerships (4%). Health disparities received limited attention (11%). Challenges included implementation issues and limited evidence on the systemic impact and cost savings from interventions.

Conclusion

Hospital/health system initiatives have predominantly taken the form of downstream initiatives to address HRSNs through hot-spotting or screening-and-referral. The emphasis on clinical trials coupled with lower use of EHR to collect SDOH data, limits transferability to safety-net facilities. Policymakers must create incentives for hospitals to invest in integrating SDOH data into EHR systems and harnessing community partnerships to address SDOH. Future research is needed on the systemic impact of hospital initiatives to address SDOH.

Examining the Association of Social Needs with Future Health Care Utilization in an Older Adult Population: Which Needs Are Most Important?

Abstract Social needs, such as social isolation and food insecurity, are important individual-level social determinants of health, especially for adults ages 65 years and older. These needs may be associated with future health care utilization, but this research area has not been studied extensively. The objective of this study was to examine the independent association of 5 individual social needs with future (1) emergency department (ED) visits and (2) hospital admissions. This observational study included 9649 Kaiser Permanente Northwest (KPNW) Medicare members who completed the Medicare Total Health Assessment (MTHA) quality improvement survey between August 17, 2020 and January 31, 2022. The 5 social needs assessed by the MTHA, defined as binary measures (yes/no), included (1) financial strain, (2) food insecurity, (3) housing instability, (4) social isolation, and (5) transportation needs. ED utilization (yes/no) and hospitalization (yes/no), the current study outcome measures, were measured in the 12 months after MTHA assessment. In multivariable analyses, 3 of the 5 social needs were significantly associated with higher ED utilization: financial strain (odds ratio [OR] = 1.40, 95% confidence interval [CI] = 1.11-1.76, P < 0.05), housing instability (OR = 1.43, 95% CI = 1.02-1.99, P < 0.05), and social isolation (OR = 1.19, 95% CI = 1.05-1.34, P < 0.05), and 1, financial strain, was significantly associated with hospital admissions (OR = 1.66, 95% CI = 1.23-2.23, P < 0.05). The study results identified which social needs are most strongly associated with future ED utilization and hospital admissions. Further research is needed to better understand whether addressing social needs is associated with improved patient-level health outcomes over time.

Association between food insecurity and quality of life among older adults (60+) in six low and middle-income countries

Food insecurity is a key social determinant of health and nutrition. However, very few studies have examined the association of food insecurity and quality of life outcomes among older adults in low and middle-income settings. In this study, we examine the association of food insecurity with self-rated poor quality of life, low life satisfaction, and WHO quality of life (WHOQol). Nationally representative data from WHO's Study on global AGEing and adult health (SAGE) consisting of 20,026 older adults were analyzed. The association of food insecurity with self-rated poor quality of life and low life satisfaction was assessed using bivariate and multivariate logistic regression analysis. Multivariate linear regression models examine the association between food insecurity and WHOQol score. Pooled data analysis of six countries showed older adults with severe food insecurity were two times more likely to report poor quality of life (OR = 2.49, CI 2.10, 2.96; p < 0.001) and low life satisfaction (OR = 2.36, CI 1.94, 2.87; p < 0.001), respectively. Similarly, older adults with severe food insecurity had 3.60 (CI-4.25, -2.95; p < 0.001) points lower WHO-QoL score than those who are food secure. These results show that the association of food insecurity is statistically significant with all three outcomes of quality of life in all six countries adjusting for sociodemographic and health measures. Public health and social security interventions are important to prevent food insecurity to promote overall wellbeing of the growing older population in low and middle-income countries.

Telehealth During COVID-19 for Adults with Multiple Chronic Conditions: Associations with Self-Reported Food Insecurity and with Physical Limitations

Background: Adults with chronic medical conditions complicated by food insecurity or physical limitations may have higher barriers to accessing telehealth implemented during the COVID-19 pandemic. Objective: To examine the relationships of self-reported food insecurity and physical limitations with changes in health care utilization and medication adherence comparing the year before (March 2019-February 2020) and the first year of the COVID-19 pandemic (April 2020-March 2021) among patients with chronic conditions insured by Medicaid or Medicare Advantage. Methods: A prospective cohort study of 10,452 Kaiser Permanente Northern California members insured by Medicaid and 52,890 Kaiser Permanente Colorado members insured by Medicare Advantage was conducted. Difference-in-differences (DID) between the pre-COVID and COVID years in telehealth versus in-person health care utilization and adherence to chronic disease medicines by food insecurity and by physical limitation status were measured. Results: Food insecurity and physical limitations were each associated with small but significantly greater shifts from in-person to telehealth. Medicare Advantage members with physical limitations also had significantly greater decline in adherence to chronic medications from year to year compared with those without physical limitations (DID from pre-COVID year to COVID year ranged from 0.7% to 3.6% greater decline by medication class, p < 0.01). Conclusions: Food insecurity and physical limitations did not present significant barriers to the transition to telehealth during the COVID pandemic. The greater decrease in medication adherence among older patients with physical limitations suggests that care systems must further address the needs of this high-risk population.

Measuring Food Security in the United States for More Than 25 years: History, Methods, Findings, and Opportunities

This article sets the stage for the "25 Years of Food Security Measurement: Answered Questions and Further Research" conference, with support from the Economic Research Service of the US Department of Agriculture, by providing some history of federal food security measurement, summarizing notable findings, and reviewing selected special topics in analysis methods. The federal government uses food security surveys to monitor national progress toward reducing food insecurity and to evaluate federal nutrition assistance programs. For the monitoring purpose, there is a tension between focus (on a single authoritative measurement approach) and breadth (encompassing multiple tools or instruments suitable for diverse populations, contexts, and applications). For the program evaluation purpose, challenges include coordination with study designs capable of real causal estimation in the face of strong self-selection effects and tailored reference periods in survey questions that match the timing of program participation. Some analysis methods treat the food security survey items as distinct experiences of hardship, whereas others treat the food security survey items as windows on an underlying latent variable, a food insecurity score. The severity of food-related hardship may be assessed quantitatively by the number of distinct hardships reported, by the estimated value of a latent food insecurity score, or by the frequency of occurrence for sentinel hardships. Ongoing work investigates statistical approaches that are sufficiently simple for policy application and yet sufficiently flexible to accurately match the empirical survey evidence.

Service Awareness Among Older Adults Experiencing Barriers to Food and Eating

OBJECTIVE

To explore (1) the services older adults use to address the barriers to food access they face and (2) how they found out about these services.

DESIGN

Semistructured, basic descriptive qualitative in-person interviews.

SETTING

Senior center and participants' homes.

PARTICIPANTS

A convenience sample of 24 older adults recruited from suburban and urban settings. Primarily Black females, living alone, and able to leave home without help.

PHENOMENON OF INTEREST

Financial and nonfinancial barriers to food access, awareness of services available.

ANALYSIS

Codes were assigned to portions of the text in which participants described how they learned about a service. These codes were categorized into one of the 3 larger themes that emerged: (1) intentionally sought by the participant, (2) intentional outreach by the service, and (3) encounters in daily life and environment.

RESULTS

Most connections to services were made through encounters in participants' daily life and environment; for example, word of mouth from family, friends or neighbors; connection through other services; referral from health care professionals; and seeing the service in their neighborhood.

CONCLUSIONS AND IMPLICATIONS

Robust social networks, medical screening, and referral may promote awareness of food assistance services. Future research and outreach should target those who are most isolated.

Understanding the Experiences of Food Insecurity in Older Adult Households

Food insecurity is a pressing multidimensional problem that negatively impacts the health and well-being of a significant number of the older population. Finding ways to better address nutritional issues among this vulnerable population is vital to their well-being. Using a mixed-methods approach, we conducted semi-structured phone interviews with a representative sample of 434 low-income older adult households in Tennessee. The aim of this study is to assess the prevalence of food insecurity, examine ongoing barriers, and, using qualitative data, to explore the diverse daily experiences older adults face when confronted with a food insecure lifestyle. Based on the USDA Adult 10-Item Household Screening Module, we found that 30% in our sample were designated as marginally, low or very low food secure. Many of those most vulnerable (older women, widowed or divorced, poor health and below the poverty line) constantly struggled with food insecurity. Being food insecure was attributed to limited financial resources, lack of transportation, health limitations, and a poor psychological state. Utilizing food stretching practicing, governmental agencies offering food supplements, family/friends, religious groups and personal resilience were common coping strategies. Implications and recommendations for service providers are offered.

Senior food insecurity in the USA: a systematic literature review

OBJECTIVE

Understanding the factors associated with senior food insecurity is key to understanding senior-specific needs to develop targeted interventions and ultimately lower the prevalence and the incidence of food insecurity. We aimed to systematically review published literature and summarise the associated factors of food insecurity in older adults in the USA.

DESIGN

We searched PubMed, Scopus, Web of science, EconLit and JSTOR databases for peer-reviewed articles published in English between January 2005 and September 2019 that assessed food security or its associated factors for US adults aged 60 years and older. After a two-step screening process, twenty articles were retained and included in the review.

SETTING

NA.

PARTICIPANTS

NA.

RESULTS

The majority of studies were cross-sectional (70 %), consisted of data from one state (60 %), and had large sample sizes. Food-insecure individuals were more likely to be younger, less educated, Black or African American, female, a current smoker, low income, and self-report fair/poor health, have chronic conditions, and utilise government assistance programmes. Food insecurity was associated with medication non-adherence, poor mental health outcomes and limitations in physical functioning. Results were mixed for overweight/obesity status. There was no discernable pattern related to the consistency of findings by the assessed quality of the included studies.

CONCLUSIONS

Food insecurity is a prevalent and pervasive issue for older adults. The numerous correlates identified suggest that interventions aimed at enhancing food and nutrition safety net and medication assistance programmes are warranted, and upstream, systemic-level interventions may be best suited to deal with the correlates of food insecurity.

Food Insufficiency, Supplemental Nutrition Assistance Program (SNAP) Status, and 9-Year Trajectory of Cognitive Function in Older Adults: The Longitudinal National Health and Aging Trends Study, 2012-2020

BACKGROUND

Despite findings from cross-sectional studies, how food insecurity experience/Supplemental Nutrition Assistance Program (SNAP) status relates to cognitive decline over time has not been fully understood.

OBJECTIVES

We aimed to investigate the longitudinal associations between food insecurity/SNAP status and cognitive function in older adults (≥65 y).

METHODS

Longitudinal data from the National Health and Aging Trends Study 2012-2020 were analyzed (n = 4578, median follow-up years = 5 y). Participants reported food insecurity experience (5-item) and were classified as food sufficient (FS, no affirmative answer) and food insufficient (FI, any affirmative answer). The SNAP status was defined as SNAP participants, SNAP eligible nonparticipants (≤200% Federal Poverty Line, FPL), and SNAP ineligible nonparticipants (>200% FPL). Cognitive function was measured via validated tests in 3 domains, and the standardized domain-specific and combined cognitive function z-scores were calculated. Mixed-effect models with a random intercept were used to study how FI or SNAP status was associated with combined and domain-specific cognitive z-scores over time, adjusting for static and time-varying covariates.

RESULTS

At baseline, 96.3% of the participants were FS and 3.7% were FI. In a subsample (n = 2832), 10.8% were SNAP participants, 30.7% were SNAP eligible nonparticipants, and 58.6% were SNAP ineligible nonparticipants. Compared with the FS group in the adjusted model (FI vs. FS), FI was associated with faster decline in the combined cognitive function scores [-0.043 (-0.055, -0.032) vs. -0.033 (-0.035, -0.031) z-scores per year, P-interaction = 0.064]. Cognitive decline rates (z-scores per year) in the combined score were similar in SNAP participants (β = -0.030; 95% CI: -0.038, -0.022) and SNAP ineligible nonparticipants (β = -0.028; 95% CI: -0.032, -0.024), both of which were slower than the rate in SNAP eligible nonparticipants (β = -0.043; 95% CI: -0.048, -0.038; P-interaction < 0.0001).

CONCLUSIONS

Food sufficiency and SNAP participation may be protective factors preventing accelerated cognitive decline in older adults.

Association between changes in loneliness identified through screening and changes in depression or anxiety in older adults

BACKGROUND

Changes in loneliness are associated with corresponding changes in depression, anxiety, and general health in population surveys, but few studies have assessed these associations through repeated screening in clinical settings.

METHODS

Retrospective cohort study among individuals ≥age 65 in an integrated health care system who completed loneliness screening before two annual wellness visits, separated by a mean of 12.9 (SD 2.0) months, between 2013 and 2018. Their responses identified four subgroups: individuals who were persistently lonely; not lonely; experienced an increase (recently lonely); or decrease (previously lonely) in loneliness. Loneliness was assessed with a single item. Depression was assessed with the Patient Health Questionnaire-2. Anxiety was assessed with the Generalized Anxiety Disorder-2. Fair/poor general health was assessed by a single item. Linear mixed effects models assessed changes in outcomes after covariate adjustment.

RESULTS

The cohort comprised 24,666 individuals (19.2% of older adults in the system). Mean age was 73.7 years (SD 6.4); 54.6% were female, and 11.6% were members of racial and ethnic minority groups. Of these individuals, 1936 (7.8%) were persistently lonely, 1687 (6.8%) were recently lonely, 1551 (6.3%) were previously lonely, and 19,492 (79.0%) were not lonely at either time point. After adjustment for sociodemographic, clinical and social variables, recent loneliness was associated with increases in depression (adjusted odds ratio [aOR] 1.76, 95% confidence interval [CI] 1.41-2.19) and anxiety (aOR 1.67, 95% CI 1.32-2.10). Previous loneliness was associated with decreases in depression (aOR, 0.46, 95% CI 0.36-0.58) and anxiety (aOR 0.69, 95% CI 0.54-0.90). Changes in loneliness were not associated with changes in general health.

CONCLUSIONS

Changes in loneliness identified through screening were associated with corresponding changes in depression and anxiety. These findings support the potential value of identifying social risk factors in clinical settings among older adults.

Association between food insecurity and perceived stress among older adults (50+) in six low- and middle-income countries

OBJECTIVES

In this study, we assess the relationship between food insecurity andperceived stress among older adults (50+) in six low- and middle-income countries of China, Ghana, India, Mexico, Russia and, South Africa.

METHODS

Cross-sectional comparative analysis was conducted using nationally representative data from the WHO's Study on global AGEing and adult health survey. Bivariate and multivariate regression analyses examine if food insecurity was associated with perceived stress. We also examined the mediating role of health conditions on the association between food insecurity and perceived stress.

RESULTS

Across countries, the mean perceived stress score was higher among the older population with food insecurity. Regression analysis showed significant and positive association between food insecurity and perceived stress. Findings from the pooled data of six countries showed, older adults who experienced severe food insecurity (β = 4.05, p < .001) had higher perceived stress scores. The association was statistically significant in India, Russia, South Africa, and Ghana.

CONCLUSION

Food insecurity showed significant adverse impact on perceived stress among the older population in low- and middle-income countries. Policy measures to reduce household food insecurity are important for improving both mental and physical health conditions of the growing older population in low- and middle-income countries.

Social Determinants of Health: Considerations for Care of Older Veterans

Social determinants of health (SDOH), the environments and circumstances in which people are born, grow, live, work and age, are potent drivers of health, health disparities, and health outcomes over the lifespan. Military service affords unique experiences, exposures, and social and health vulnerabilities which impact the life course and may alter health equity and health outcomes for older veterans. Identifying and addressing SDOH, inclusive of the military experience, allows person-centered, more equitable care to this vulnerable population. Nurses and other health professionals should be familiar with how to identify and address health-related social needs and implement interdiciplinary, team-based approaches to connect patients with resources and benefits specifically available to veterans.

Association between food insecurity and major depressive episodes amid Covid-19 pandemic: results of four consecutive epidemiological surveys from southern Brazil

OBJECTIVE

To assess the association between household food insecurity (FI) and major depressive episodes (MDE) amid Covid-19 pandemic in Brazil.

DESIGN

Cross-sectional study carried out with data from four consecutive population-based studies.

SETTING

The study was conducted between May and June 2020, in Bagé, a Brazilian southern city. Household FI was measured using the short-form version of the Brazilian Food Insecurity Scale. Utilising the Patient Health Questionnaire-9, we used two different approaches to define MDE: the cut-off point of ≥ 9 and the diagnostic criteria proposed by the Diagnostic and Statistical Manual of Mental Disorders (DSM-IV-TR). Association between FI and MDE was analysed using crude and adjusted Poisson regression models.

PARTICIPANTS

1550 adults (≥ 20 years old).

RESULTS

The prevalence of household FI was 29·4 % (95 % CI 25·0, 34·4). MDE prevalence varied from 4·4 % (95 % CI 3·1, 6·0), when we used the DSM-IV-TR criteria to define this condition, to 9·6 % (95 % CI 7·3, 12·5) of the sample, when we used the cut-off point of ≥ 9 as definition. The prevalence of MDE was more than two times higher in those individuals living with FI, independent of the criteria adopted to define the outcome. Adjustment for potential confounders did not change the association's magnitude.

CONCLUSIONS

Household FI has been positively associated with MDE amid Covid-19 pandemic, independent of socio-demographic characteristics of participants. Actions are needed to warrant basic living conditions to avoid FI and hunger and its consequences for the Brazilian population, especially those consequences linked to mental health disorders.

Measuring Multimorbidity: Selecting the Right Instrument for the Purpose and the Data Source

BACKGROUND

Adults have a higher prevalence of multimorbidity-or having multiple chronic health conditions-than having a single condition in isolation. Researchers, health care providers, and health policymakers find it challenging to decide upon the most appropriate assessment tool from the many available multimorbidity measures.

OBJECTIVE

The objective of this study was to describe a broad range of instruments and data sources available to assess multimorbidity and offer guidance about selecting appropriate measures.

DESIGN

Instruments were reviewed and guidance developed during a special expert workshop sponsored by the National Institutes of Health on September 25-26, 2018.

RESULTS

Workshop participants identified 4 common purposes for multimorbidity measurement as well as the advantages and disadvantages of 5 major data sources: medical records/clinical assessments, administrative claims, public health surveys, patient reports, and electronic health records. Participants surveyed 15 instruments and 2 public health data systems and described characteristics of the measures, validity, and other features that inform tool selection. Guidance on instrument selection includes recommendations to match the purpose of multimorbidity measurement to the measurement approach and instrument, review available data sources, and consider contextual and other related constructs to enhance the overall measurement of multimorbidity.

CONCLUSIONS

The accuracy of multimorbidity measurement can be enhanced with appropriate measurement selection, combining data sources and special considerations for fully capturing multimorbidity burden in underrepresented racial/ethnic populations, children, individuals with multiple Adverse Childhood Events and older adults experiencing functional limitations, and other geriatric syndromes. The increased availability of comprehensive electronic health record systems offers new opportunities not available through other data sources.

Food Insecurity in Older Adults in Canada and the United States: A Concept Analysis

A concept analysis using the method of Walker and Avant was undertaken to clarify the concept of food insecurity in older adults in Canada and the United States. A literature review was undertaken to conduct a concept analysis of food insecurity in older people. Food insecurity is associated with multiple negative health outcomes and may be experienced differently by older adults as compared to younger adults. It is therefore important to understand the concept of food insecurity as is relates to older adults. Four defining attributes of food insecurity in older adults in Canada and the United States were identified: (i) inability to acquire or prepare enough food, (ii) compromising on food quality or preference, (iii) uncertainty or anxiety around the ability to acquire or prepare food, and (iv) socially unacceptable or non-normative practices. These attributes may allow for improved policies and programs aimed at addressing food insecurity in older adults by better meeting the needs of older individuals. Additional research into food insecurity as experienced by Canadian and American older adults could help to further clarify the concept.

Food insecurity in older female mice affects food consumption, coping behaviors, and memory

Food insecurity correlates with poor physical and mental health in older individuals, but has not been studied in a laboratory animal model. This explorative study developed a laboratory mouse model for analyzing the impact of food insecurity on food consumption, stress coping mechanisms, exploratory behavior, and memory. 18-month-old CD-1 female mice were assigned to either the food insecurity exposure condition (31 mice, 8 cages) or the control condition (34 mice, 8 cages) by cage. Over four weeks, the mice that were exposed to food insecurity received varied, unpredictable portions of their baseline food consumption (50%, 75%, 125%, 150% of baseline) for four days, followed by ad libitum access for three days, to approximate the inconsistent access to food observed in households experiencing food insecurity. Behavioral tasks were conducted before and after food insecurity exposure. Mice in the food insecurity exposure condition ate less compared to control mice during food insecurity (two-way ANOVA: group x time interaction: F7,93 = 10.95, P < 0.01) but ate more when given access to high fat food (two-way ANOVA, group x time interaction: F1,14 = 11.14, P < 0.01). Mice exposed to food insecurity increased active escaping behaviors in the forced swim test (repeated measures two-way ANOVA, group x time interaction: F1,63 = 5.40, P = 0.023). Exploratory behaviors were unaffected by food insecurity. Mice exposed to food insecurity showed a reduction in memory (repeated measures two-way ANOVA, group x time interaction: F1,61 = 4.81, P = 0.037). These results suggest that exposure to food insecurity is associated with differences in food consumption patterns, active coping mechanisms, and memory. The behavioral changes associated with food insecurity may inform research on food insecurity's impact on health in elderly humans.

Demographic Correlates of Veterans' Adverse Social Determinants of Health

INTRODUCTION

Identifying patient populations most affected by adverse social determinants of health can direct epidemiologic investigation, guide development of tailored interventions, and improve clinical care and outcomes. This study explores how demographic characteristics are associated with specific types-and cumulative burden-of adverse social determinants of health among Veterans seeking Veterans Health Administration health care.

METHODS

Data included electronic health records for 293,872 patients of Veterans Health Administration facilities in one region of the country between October 1, 2015 and September 30, 2016. A series of multiple logistic regressions conducted between August and December 2019 examined how demographic variables are associated with 7 adverse social determinants of health. A negative binomial regression examined the association between demographic characteristics and cumulative burden of social determinants of health.

RESULTS

Demographic characteristics were associated with increased odds of each type of adverse social determinant of health: minority race, unmarried status, and Veterans' service connected disability status. Conversely, living in a rural area and being aged >40 years were associated with decreased odds of most of the adverse social determinants of health studied here. Hispanic ethnicity and female sex were inconsistently associated with increased odds of some adverse social determinants of health and decreased odds of others. These results are mirrored in the analysis of predictors of cumulative burden of adverse social determinants of health.

CONCLUSIONS

There is increasing and ongoing interest in ways to identify and respond to patients' experiences of or exposures to adverse social determinants of health. Demographic characteristics may signal the need to assess for adverse social determinants of health. Analyses exploring latent factors among these social determinants (e.g., poverty) may inform strategies to identify patients experiencing adverse social determinants of health and provide responsive interventions.

Food insecurity, participating in the Supplemental Nutrition Assistance Program, and the degree to which patients anticipate help from clinics to find food in Los Angeles County

Healthcare clinics are uniquely positioned to screen for food insecurity and refer patients to food resources. This study examines this approach to address this social condition. A 2018 intercept survey of 1,103 adult patients recruited from across 11 clinic waiting rooms in Los Angeles County was conducted to describe the prevalence of food insecurity and whether Supplemental Nutrition Assistance Program (SNAP) participation and the degree to which patients anticipated their clinics to help them locate food varied by socio-demographic factors. The prevalence of food insecurity was high for this low-income survey sample (63.4%); 72% of Spanish-speaking Latinx reported experiencing it. For those who experienced food insecurity, older age was associated with lower odds of SNAP participation. Spanish-speaking Latinx had higher odds of anticipating help from a clinic to find food relative to English-speaking Latinx (Adjusted Odds Ratio 1.88, 95% Confidence Interval: 1.18, 2.98). An exploratory analysis showed that common reasons for not enrolling in SNAP included older adults not knowing how to apply to the program and Spanish-speaking Latinx worrying about citizenship status as it relates to the eligibility process. Findings revealed disparities in the prevalence of food insecurity and SNAP participation among patients of Los Angeles' low income clinics. Information from this study can help inform low-income clinics' efforts to intervene on food insecurity in their patient population.

Including Social and Behavioral Determinants in Predictive Models: Trends, Challenges, and Opportunities

In an era of accelerated health information technology capability, health care organizations increasingly use digital data to predict outcomes such as emergency department use, hospitalizations, and health care costs. This trend occurs alongside a growing recognition that social and behavioral determinants of health (SBDH) influence health and medical care use. Consequently, health providers and insurers are starting to incorporate new SBDH data sources into a wide range of health care prediction models, although existing models that use SBDH variables have not been shown to improve health care predictions more than models that use exclusively clinical variables. In this viewpoint, we review the rationale behind the push to integrate SBDH data into health care predictive models and explore the technical, strategic, and ethical challenges faced as this process unfolds across the United States. We also offer several recommendations to overcome these challenges to reach the promise of SBDH predictive analytics to improve health and reduce health care disparities.

Malnutrition and Food Insecurity Might Pose a Double Burden for Older Adults

Although food insecurity has been associated with a disadvantageous socioeconomic status, especially in older adults, its association with comorbidities is less clear. The scope of the present cross-sectional study was to assess the prevalence of food insecurity among older adults and evaluate the association between food insecurity, malnutrition, chronic disease, multimorbidity and healthcare utilization. A total of 121 older adults (mean (standard deviation) age: 72.6 (8.1)) were recruited from a Primary Care Health Center from 10 August 2019 to 10 September 2019. Food insecurity and malnutrition status were assessed by the Household Food Insecurity Access Scale and Mini Nutritional Assessment tool, respectively. Recorded variables included financial, family data and comorbidities. The prevalence of food insecurity in the sample reached 50.4%, with men and older adults malnourished or at risk for malnutrition, exhibiting high risk for food insecurity. Multimorbidity, frequency of health care utilization and medication adherence were not associated with food insecurity, possibly due to the free health services and remunerated medications offered by the Greek government. However, male gender and malnutrition risk were significant predictors of food insecurity in the multiple logistic analyses. This study highlights the need for mainstreaming food insecurity assessment among older adults with comorbidities, especially those at risk for malnutrition.

Social Isolation Associated with Future Health Care Utilization

Social isolation among individuals ages 65 years and older is associated with poor health outcomes. However, little is known about health care utilization patterns of socially isolated individuals. This retrospective, observational study evaluated associations between social isolation and hospital and emergency department (ED) utilization among Medicare patients ages 65 years and older. In a cohort of 18,557 Medicare members age 65 years and older at Kaiser Permanente Northwest, the authors compared rates of hospitalization and ED visits in the 12 months following a baseline survey between respondents who reported feeling lonely or socially isolated and those who did not, controlling for demographic and health variables and utilization in the 12 months prior to the survey. Statistical analysis was conducted in February 2020. In adjusted models, those who reported "sometimes" experiencing social isolation were more likely to have at least 1 hospital admission (odds ratio [OR_sometimes]: 1.17, 95% confidence interval [CI]: 1.01-1.35, P = 0.04), than those who "rarely" or "never" experienced social isolation. Those who experienced social isolation "sometimes" or "often/always" were more likely to have at least 1 ED visit (OR_sometimes: 1.28, 95% CI: 1.15-1.41, P < 0.0001, and OR_often/always: 1.51, 95% CI: 1.25-1.84, P < 0.0001, respectively) than those who "rarely" or "never" experienced social isolation. These findings suggest that self-reported social isolation may be predictive of future hospital admissions and ED utilization. Research is needed to determine how addressing social isolation needs within the health care system affects health care utilization and health outcomes.

Incorporation of Information-Seeking Behavior Into Food Insecurity Research

INTRODUCTION

Limited or uncertain availability of nutritionally adequate and safe foods affects the health of individuals. Because of its association with chronic health conditions, addressing food insecurity may improve health outcomes and decrease health-related costs. This study explores whether and how information seeking as captured by calls made to United Way 2-1-1 can be used to identify food-insecure areas and information deserts-communities with low proportions of residents accessing government food resources but with high rates of 2-1-1 calls for emergency food resources.

METHODS

Details regarding calls made to United Way of Salt Lake 2-1-1 for emergency food resources between 2014 and 2018 (n=63,221) were analyzed in 2019. Using GIS methods, areas with the highest number of calls for emergency food resources (hot spots) were identified; multinomial logistic regression was used to identify community-level sociodemographic predictors of food insecurity.

RESULTS

Areas with a smaller proportion of the population aged <18 years, more female householders, and more African Americans are associated with higher odds of being food-insecure.

CONCLUSIONS

Patterns of information seeking about emergency food resources suggest that, despite statewide access to federal means-tested food programs, significant food needs remain. This novel approach in food insecurity research can help public health officials and health systems address an important social determinant of health by identifying areas vulnerable to food insecurity. In addition, this work may be useful in benchmarking food needs, information seeking, and replicating analyses where similar data are available.

Psychometric and Pragmatic Properties of Social Risk Screening Tools: A Systematic Review

CONTEXT

Health systems increasingly are exploring implementation of standardized social risk assessments. Implementation requires screening tools both with evidence of validity and reliability (psychometric properties) and that are low cost, easy to administer, readable, and brief (pragmatic properties). These properties for social risk assessment tools are not well understood and could help guide selection of assessment tools and future research.

EVIDENCE ACQUISITION

The systematic review was conducted during 2018 and included literature from PubMed and CINAHL published between 2000 and May 18, 2018. Included studies were based in the U.S., included tools that addressed at least 2 social risk factors (economic stability, education, social and community context, healthcare access, neighborhood and physical environment, or food), and were administered in a clinical setting. Manual literature searching was used to identify empirical uses of included screening tools. Data on psychometric and pragmatic properties of each tool were abstracted.

EVIDENCE SYNTHESIS

Review of 6,838 unique citations yielded 21 unique screening tools and 60 articles demonstrating empirical uses of the included screening tools. Data on psychometric properties were sparse, and few tools reported use of gold standard measurement development methods. Review of pragmatic properties indicated that tools were generally low cost, written for low-literacy populations, and easy to administer.

CONCLUSIONS

Multiple low-cost, low literacy tools are available for social risk screening in clinical settings, but psychometric data are very limited. More research is needed on clinic-based screening tool reliability and validity as these factors should influence both adoption and utility.

SUPPLEMENT INFORMATION

This article is part of a supplement entitled Identifying and Intervening on Social Needs in Clinical Settings: Evidence and Evidence Gaps, which is sponsored by the Agency for Healthcare Research and Quality of the U.S. Department of Health and Human Services, Kaiser Permanente, and the Robert Wood Johnson Foundation.

A Systematic Review and Meta-analysis of Depression, Anxiety, and Sleep Disorders in US Adults with Food Insecurity

INTRODUCTION

A large number of peer-reviewed studies, with various methodologies and populations, have addressed the effects of food insecurity (FIS) on mental health conditions such as depression, anxiety, and sleep disorders. There are currently, however, no published systematic assessments or meta-analyses of this literature.

METHODS

A systematic search of the literature was conducted in PubMed, PsycInfo, Embase, Scopus, and Web of Science. Cross-sectional studies assessing the association between food insecurity and depression, anxiety, or sleep disorders were identified. For each of the three health outcomes, we extracted (or calculated when possible) the following effect sizes: odds ratio (OR), Hedges' g, Pearson correlation coefficients r, or bivariate coefficients. Then, for each mental health-outcome/effect-size pair, the available studies were combined using the random effect model. Heterogeneity, publication bias, and subgroup dependence, for each meta-analysis, were also assessed.

RESULTS

Fifty-seven studies provided cross-sectional data on the relationship between FIS and depression (n = 169,433), 13 on anxiety and psychological distress (n = 91,957), and 8 studies provided data on sleep disorders (n = 85,788). Meta-analysis showed that FIS is associated with an increased risk of testing positive for depression OR = 2.74 [95% CI 2.52-2.97, n = 135,500, Q(df = 41) = 69, I² = 40%], anxiety OR = 2.41 [95% CI 1.81-3.22, n = 51,541, Q(df = 3) = 8, I² = 63%], and sleep disorders OR = 1.80 [95% CI 1.51-2.15, n = 84,800, Q(df = 5) = 13, I² = 62%]. The highest risks were found for depression and anxiety which had statistically similar values. The results were robust to covariates and population groups.

DISCUSSION

This systematic review and meta-analysis demonstrates a strong association between FIS and depression, anxiety, and sleep disorders, for which more longitudinal studies addressing effect sizes are warranted to further study causation.

Predictors of Food Insecurity for Hospitals' Patients and Communities: Implications for Establishing Effective Population Health Initiatives

As food insecurity interventions are incorporated into hospitals' population health initiatives, addressing the needs of hospitals' patients and communities through the same interventions may be ineffective if the groups vary and have different needs. This study examined whether food insecurity predictors were different in the general population compared to individuals with hospital discharges, and also whether food-insecure hospital patients differed from food-insecure community members. National data were extracted from the 2016 Medical Expenditures Panel Survey. Summary statistics were compared to test for differences between food security status groups. Logistic regressions were estimated for the general population and for individuals with hospital discharges to identify associations between food insecurity and demographic, socioeconomic, and health characteristics. Food-insecure individuals with and without hospital discharges differed statistically across multiple variables, including 15 of 16 health-related variables. However, compared to food-secure individuals with hospital discharges, food-insecure individuals with hospital discharges differed on only half of the health variables. Food insecurity predictors also differed among the general population and hospital discharge samples; for instance, age and race were only associated with higher likelihoods of food insecurity in the population sample. Furthermore, 9 health-related variables were associated with food insecurity in the population sample relative to only 2 in the hospital discharge sample. Food insecurity predictors differed between the general population and individuals with hospital discharges; food-insecure individuals with and without hospital discharges also differed statistically. Therefore, hospitals should carefully consider their target populations when constructing population health initiatives.

Challenges and Successes with Food Resource Referrals for Food-Insecure Patients with Diabetes

INTRODUCTION

Clinics increasingly screen patients for food insecurity, but little is known about the efficacy of referring food-insecure patients to community-based food resources.

OBJECTIVE

To evaluate the implementation of a tailored community food resource referral program in a safety-net diabetes clinic.

METHODS

We conducted semistructured phone interviews with food-insecure patients participating in a screening and referral program in a diabetes clinic affiliated with a safety-net hospital. In this qualitative study, we describe barriers to and facilitators of successful food resource referrals from the patient's perspective.

RESULTS

The prevalence of food insecurity was high (60%). Provision of written and verbal information alone about community food resources resulted in low linkage rates (0%-4%), even with individually tailored referrals. Misperceptions about eligibility, fears around government program registration, inaccessibility, lack of information retention, competing priorities, an inability to cook, stigma, and a perceived sense of stability with existing food support were major barriers to use. Personnel-guided, in-clinic enrollment to a food resource facilitated a higher connection rate (31%).

DISCUSSION

Results of this study suggest that screening for food insecurity followed by a list of food resources for those screening positive may not adequately address patient barriers to using community-based food resources. For food insecurity screening programs in the clinical setting to be effective, systems must not only distribute food resource information but also assist patients in enrollment processes.

Association between food insecurity, cardiorenal syndrome and all-cause mortality among low-income adults

BACKGROUND

Food insecurity is known to be a major public health issue. There is limited data on food insecurity and chronic disease in the general population.

AIM

We aimed to assess effect of food insecurity on mortality of individuals with chronic disease like cardiorenal syndrome (CRS).

METHODS

The study was conducted on participants aged 20 years or older in the United States living below the 130% Federal Poverty Level. We assessed food insecurity utilizing the Household Food Security Survey Module in NHANES survey for the years 1999 to 2010 with mortality follow-up. Prospective analysis was performed using complex samples Cox regression with adjustment for known confounders to determine the relationship of food insecurity and CRS.

RESULTS

Prevalence of food insecurity among the low-income population was 16.1% among males and 21.7% among females. The mean follow-up was 6.5 years. For all-cause mortality, the overall unadjusted hazard ratio (HR) of food insecurity to no food insecurity was 1.28 (95% confidence interval [CI], 1.18-1.37, p < 0.001). Adjusted HR was elevated, 2.81 (CI 1.57-5.05, p < 0.001), among participants who were CRS-positive and food insecure but closer to 1.0 (2.48 CI 1.73-3.55, p < 0.001) among those who were CRS-positive and food secure, after controlling for medical and demographic risk factors.

CONCLUSIONS

Food insecurity is associated with higher mortality than food security. Food insecurity also may modify the effect of CRS on all-cause mortality in a representative general population. Social policy, when addressing food insecurity, should be inclusive among those with specific chronic diseases.

Developing and Piloting a Tool to Identify Food Insecurity in Older Adults

OBJECTIVE

The literature shows that food insecurity (FI) can negatively affect the trajectory of many chronic illnesses. FI can be acutely severe for older adults, but screening for FI is not regularly performed in the hospital setting. Our goal was to develop a tool to screen for FI upon hospital discharge to identify patients who may require community food resources. This is the first attempt to build such a tool for implementation in our health system.

METHODS

In two university hospitals and one community hospital, patients 65 years old and older were admitted to the Internal Medicine service who would approach discharge within 2 days. We screened patients meeting our criteria using an FI tool (FIT), which addressed patterns associated with FI. All of the patients screened were offered a list of community resources.

RESULTS

Of the patients recruited, 69 met the study criteria. The majority of patients screened displayed some FI, with 56% having ≥3 food insecurities. Statistically significant relationships were established for individual FIT questions with age, admission albumin level, body mass index, length of stay, and median household income based on ZIP code.

CONCLUSIONS

Use of the FIT can help identify vulnerable patients and connect them to food resources. The FIT was easy to use, well tolerated, and time-efficient, leaving it poised for use in the busy environment of inpatient services.

The longitudinal relationship between food insecurity in older adults with diabetes and emergency department visits, hospitalizations, hemoglobin A1c, and medication adherence

AIMS

To examine the relationship between food insecurity and emergency department (ED) visits, hospitalizations, A1c, and diabetes medication adherence over one year of follow-up among individuals >65 years with diabetes mellitus.

METHODS

We conducted a longitudinal cohort study of adults >65 years with diabetes who did (n = 742) or did not (n = 2226) report food insecurity at baseline. We used conditional logistic regression for the ED visits or hospitalization outcomes, and mixed effects models for A1c and non-insulin diabetes medication adherence.

RESULTS

In bivariate analyses, individuals with food insecurity were more likely to have an ED visit (OR = 1.40, 95% CI 1.15-1.72) or hospitalization (OR = 1.41, 95% CI 1.11-1.78) in the year after the food security assessment. In addition, A1c was higher (7.5% vs. 7.2%, p < 0.001). There was no difference in medication adherence. These differences persisted with adjustment for basic demographic and clinical characteristics, but were attenuated with further adjustment for socioeconomic status.

CONCLUSIONS

Differences in diabetes outcomes by food insecurity status were attenuated by adjustment for socioeconomic status. Adverse outcomes in individuals with diabetes and food insecurity may be driven by effects of food insecurity per se or be mediated by a constellation of basic resource needs or lower socioeconomic status.

Using Cross-Sectional Data to Identify and Quantify the Relative Importance of Factors Associated with and Leading to Food Insecurity

Australian governments routinely monitor population household food insecurity (FI) using a single measure-'running out of food at least once in the previous year'. To better inform public health planning, a synthesis of the determinants and how they influence and modify each other in relation to FI was conducted. The analysis used data from the Health &amp; Wellbeing Surveillance System cross-sectional dataset. Weighted means and multivariable weighted logistic regression described and modelled factors involved in FI. The analysis showed the direction and strength of the factors and a path diagram was constructed to illustrate these. The results showed that perceived income, independent of actual income was a strong mediator on the path to FI as were obesity, smoking and other indicators of health status. Eating out three or more times a week and eating no vegetables more strongly followed FI than preceded it. The analysis identified a range of factors and demonstrated the complex and interactive nature of them. Further analysis using propensity score weighted methods to control for covariates identified hypothetical causal links for investigation. These results can be used as a proof of concept to assist public health planning.

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.