Accuracy of Electronic Health Record Food Insecurity, Housing Instability, and Financial Strain Screening in Adult Primary Care.
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ABSTRACT:
SUBMITTER: Harle CA
PROVIDER: S-EPMC10408256 | biostudies-literature | 2023 Feb
REPOSITORIES: biostudies-literature
Publications
Accuracy of Electronic Health Record Food Insecurity, Housing Instability, and Financial Strain Screening in Adult Primary Care.
Harle Christopher A CA Wu Wei W Vest Joshua R JR
JAMA 20230201 5
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Project description:Housing instability is considered a significant life stressor and preemptive screening should be applied to identify those at risk for homelessness as early as possible so that they can be targeted for specialized care. We developed models to classify patient outcomes for an established VA Homelessness Screening Clinical Reminder (HSCR), which identifies housing instability, in the two months prior to its administration. Logistic Regression and Random Forest models were fit to classify responses using the last 18 months of document activity. We measure concentration of risk across stratifications of predicted probability and observe an enriched likelihood of finding confirmed false negative responses from veterans with diagnosed housing instability. Positive responses were 34 times more likely to be detected within the top 1 % of patients predicted at risk than from those randomly selected. There is a 1 in 4 chance of detecting false negatives within the top 1 % of predicted risk. Machine learning methods can classify between episodes of housing instability using a data-driven approach that does not rely on variables curated from domain experts. This method has the potential to improve clinicians' ability to identify veterans who are experiencing housing instability but are not captured by HSCR.
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Project description:IntroductionMore than 5 million children in the United States experience food insecurity (FI), yet little guidance exists regarding screening for FI. A prediction model of FI could be useful for healthcare systems and practices working to identify and address children with FI. Our objective was to predict FI using demographic, geographic, medical, and historic unmet health-related social needs data available within most electronic health records.MethodsThis was a retrospective longitudinal cohort study of children evaluated in an academic pediatric primary care clinic and screened at least once for FI between January 2017 and August 2021. American Community Survey Data provided additional insight into neighborhood-level information such as home ownership and poverty level. Household FI was screened using two validated questions. Various combinations of predictor variables and modeling approaches, including logistic regression, random forest, and gradient-boosted machine, were used to build and validate prediction models.ResultsA total of 25,214 encounters from 8521 unique patients were included, with FI present in 3820 (15%) encounters. Logistic regression with a 12-month look-back using census block group neighborhood variables showed the best performance in the test set (C-statistic 0.70, positive predictive value 0.92), had superior C-statistics to both random forest (0.65, p < 0.01) and gradient boosted machine (0.68, p = 0.01), and showed the best calibration. Results were nearly unchanged when coding missing data as a category.ConclusionsAlthough our models could predict FI, further work is needed to develop a more robust prediction model for pediatric FI.
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Project description:BackgroundFood insecurity and housing instability, both social determinants of health (SDoH), disproportionately affect economically unstable, under-resourced US communities in which children with sickle cell disease (SCD) live. Association between these SDoH markers and dietary quality among children with SCD is unknown.ProceduresWe assessed a cross-sectional sample of dyadic parent-child patients and young adult patients up to age 21 from one pediatric SCD center. Food insecurity, housing instability, and dietary quality were measured using validated US instruments and a food frequency questionnaire. Better dietary quality was defined using US dietary guidelines. Multivariate regression assessed for associations among dietary quality and food insecurity with or without (±) housing instability and housing instability alone.ResultsOf 100 enrolled participants, 53% were Black and 43% Hispanic; mean age 10.6 ± 5.6 years. Overall, 70% reported less than or equal to one economic instability: 40% housing instability alone and 30% both food insecurity and housing instability. Eighty percent received more than or equal to one federal food assistance benefit. Compared to no economic instability, food insecurity ± housing instability was significantly associated with higher intake of higher dairy and pizza, while housing instability alone was significantly associated with higher dairy intake. Food insecurity ± housing instability was significantly associated with lower intake of whole grains compared to housing instability alone.ConclusionsOur sample reported high frequencies of both food insecurity and housing instability; having more than or equal to one SDoH was associated with elements of poorer diet quality. Screening families of children with SCD for food insecurity and housing instability may identify those with potential nutrition-related social needs.
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Project description:BackgroundWhile social assistance through the U.S. federal CARES Act provided expanded unemployment insurance benefits during the COVID-19 pandemic until the summer of 2020, it is unclear whether social assistance was sufficient in subsequent months to meet everyday spending needs and to curb the adverse health-related sequelae of financial hardship.MethodsUsing multivariable Poisson log-binomial regression and repeated cross-sectional Household Pulse Survey data between September and December 2020 on 91,222 working-aged U.S. adults and 28,842 adult housing renters, this study explored the associations of financial hardship with mental health outcomes and food and housing insecurity after accounting for receipt of social assistance.ResultsFinancial hardship rose progressively from September to December 2020, and disproportionately affected Black non-Hispanic and Hispanic Americans and lower-income households. Experiencing considerable financial hardship (vs no hardship) predicted nearly 3-fold higher risks of anxiety and depressive symptoms (e.g., adjusted prevalence ratio, PR of depression = 2.75, 95% CI = 2.54-2.98, P < .001), a 23-fold higher risk of food insufficiency (PR = 22.71, 95% CI = 15.62-33.01, P < .001), and a 27-fold higher risk of a likely eviction (PR = 27.20, 95% CI = 10.63-69.59, P < .001). Across outcomes, these relationships were stronger at each successively higher level of financial hardship (all P values for linear trend <0.001), and more than offset benefits from social assistance.ConclusionsEven after accounting for social assistance receipt, working-aged adults experiencing financial hardship had markedly greater risks of anxiety and depressive symptoms, food insufficiency, and an anticipated housing eviction. These findings point to the urgent need for direct and sustained cash relief well in excess of current levels of social assistance to mitigate the pandemic's adverse impacts on the well-being of millions of Americans, including vulnerable minority and low-income populations.
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Project description:ObjectiveTo examine the financial impact of electronic health record (EHR) implementation on ambulatory practices.MethodsWe tracked the practice productivity (ie, number of patient visits) and reimbursement of 30 ambulatory practices for 2 years after EHR implementation and compared each practice to their pre-EHR implementation baseline.ResultsReimbursements significantly increased after EHR implementation even though practice productivity (ie, the number of patient visits) decreased over the 2-year observation period. We saw no evidence of upcoding or increased reimbursement rates to explain the increased revenues. Instead, they were associated with an increase in ancillary office procedures (eg, drawing blood, immunizations, wound care, ultrasounds).DiscussionThe bottom line result-that EHR implementation is associated with increased revenues-is reassuring and offers a basis for further EHR investment. While the productivity losses are consistent with field reports, they also reflect a type of efficiency-the practices are receiving more reimbursement for fewer seeing patients. For the practices still seeing fewer patients after 2 years, the solution likely involves advancing their EHR functionality to include analytics. Although they may still see fewer patients, with EHR analytics, they can focus on seeing the right patients.ConclusionsPractice reimbursements increased after EHR implementation, but there was a long-term decrease in the number of patient visits seen in this ambulatory practice context.
| S-EPMC11749187 | biostudies-literature
Project description:Latinxs are vulnerable to experiencing housing insecurity and less likely to receive public benefits, such as health insurance, which can impact a household's economic resources. We inform homelessness prevention by examining the association of social risks and healthcare access with housing insecurity for Latinxs. Our sample consisted of 120,362 participants under the age of 65, of which 17.3% were Latinx. Weighted chi-squared tests and logistic regression were used to examine predictors of housing insecurity. Housing insecurity was measured as worry about paying for housing. Latinxs were almost twice as likely as non-Latinxs to worry about paying for housing. Excellent/fair health status, health service use, and having health insurance decreased the likelihood of housing insecurity for Latinxs. Access to health insurance, regardless of citizenship status, and use of preventative healthcare to maintain good health can be protective against housing insecurity.
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Project description:BackgroundPediatric food allergy is associated with excess familial food costs compared to families without allergy. Since the start of the COVID-19 pandemic, food prices have increased substantially.ObjectiveTo understand the temporal pattern of food insecurity amongst Canadian families with food allergy from the year prior to the pandemic, through May 2022.MethodsUsing data collected electronically from families reporting food allergy using a validated food security questionnaire, we estimated food insecurity, including categories of food insecurity (marginal, moderate, secure) in the year prior to the pandemic (2019; Wave 1), and the first (2020; Wave 2) and second years of the pandemic (2022; Wave 3).ResultsParticipants in all waves were commonly in 2 + adult, 2 child households. Less than half of participants (Waves 1-3: 45.7%, 31.0%, and 22.9%, respectively) reported household incomes below the median Canadian. Common allergies were milk, eggs, peanuts and tree nuts. In Wave 1, 22.9% of families reported food insecurity; corresponding numbers at Waves 2 and 3 were 30.6% and 74.4%, respectively, representing an overall increase of 225.6%, including notable increases in severe food insecurity.ConclusionCanadian families with pediatric food allergy report higher rates of food insecurity compared to the general Canadian population, especially during the pandemic.
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Project description:Coronavirus disease 2019 negatively impacts social determinants of health that contribute to disparities for people with human immunodeficiency virus (HIV). Insecurity of food, housing, and employment increased significantly in April 2020 among patients with lower incomes at a Ryan White HIV/AIDS program clinic in the Southern United States.
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