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Food insecurity, healthcare utilization, and high cost: a longitudinal cohort study.

ABSTRACT: OBJECTIVES:Reducing utilization of high-cost healthcare services is a common population health goal. Food insecurity-limited access to nutritious food owing to cost-is associated with chronic disease, but its relationship with healthcare utilization is understudied. We tested whether food insecurity is associated with increased emergency department (ED) visits, hospitalizations, and related costs. STUDY DESIGN:Retrospective analysis of a nationally representative cohort. METHODS:Adults (?18 years) completed a food insecurity assessment (using 10 items derived from the US Department of Agriculture Household Food Security Module) in the 2011 National Health Interview Survey and were followed in the 2012-2013 Medical Expenditures Panel Survey. Outcome measures were ED visits, hospitalizations, days hospitalized, and whether participants were in the top 10%, 5%, or 2% of total healthcare expenditures. RESULTS:Of 11,781 participants, 2056 (weighted percentage, 13.2%) were in food-insecure households. Food insecurity was associated with significantly more ED visits (incidence rate ratio [IRR], 1.47; 95% CI, 1.12-1.93), hospitalizations (IRR, 1.47; 95% CI, 1.14-1.88), and days hospitalized (IRR, 1.54; 95% CI, 1.06-2.24) after adjustment for demographics, education, income, health insurance, region, and rural residence. Food insecurity was also associated with increased odds of being in the top 10% (odds ratio [OR], 1.73; 95% CI, 1.31-2.27), 5% (OR, 2.53; 95% CI, 1.51-3.37), or 2% (OR, 1.95; 95% CI, 1.09-3.49) of healthcare expenditures. CONCLUSIONS:Food insecurity is associated with higher healthcare use and costs, even accounting for other socioeconomic factors. Whether food insecurity interventions improve healthcare utilization and cost should be tested.

SUBMITTER: Berkowitz SA

PROVIDER: S-EPMC6426124 | biostudies-literature | 2018 Sep

REPOSITORIES: biostudies-literature

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Food insecurity, healthcare utilization, and high cost: a longitudinal cohort study.

Berkowitz Seth A SA Seligman Hilary K HK Meigs James B JB Basu Sanjay S

The American journal of managed care 20180901 9

<h4>Objectives</h4>Reducing utilization of high-cost healthcare services is a common population health goal. Food insecurity-limited access to nutritious food owing to cost-is associated with chronic disease, but its relationship with healthcare utilization is understudied. We tested whether food insecurity is associated with increased emergency department (ED) visits, hospitalizations, and related costs.<h4>Study design</h4>Retrospective analysis of a nationally representative cohort.<h4>Method ...[more]

PMID: 30222918

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Project description:INTRODUCTION:Senior high-cost users (HCUs) are estimated to represent 60% of all HCUs in Ontario, Canada's most populous province. To improve our understanding of individual and health system characteristics related to senior HCUs, we will examine incident senior HCUs to determine their incremental healthcare utilisation and costs, characteristics of index hospitalisation episodes, mortality and their regional variation across Ontario. METHODS AND ANALYSIS:A retrospective, population-based cohort study using administrative healthcare records will be used. Incident senior HCUs will be defined as Ontarians aged ≥66 years who were in the top 5% of healthcare cost users during fiscal year 2013 but not during fiscal year 2012. Each HCU will be matched to three non-HCUs by age, sex and health planning region. Incremental healthcare use and costs will be determined using the method of recycled predictions. We will apply multivariable logistic regression to determine patient and health service factors associated with index hospitalisation and inhospital mortality during the incident year. The most common causes of admission will be identified and contrasted with the most expensive hospitalised conditions. We will also calculate the ratio of inpatient costs incurred through admissions of ambulatory care sensitive conditions to the total inpatient expenditures. The magnitude of variation in costs and health service utilisation will be established by calculating the extremal quotient, the coefficient of variation and the Gini mean difference for estimates obtained through multilevel regression analyses. ETHICS AND DISSEMINATION:This study has been approved by Hamilton Integrated Research Ethics Board (ID#1715-C). The results of the study will be distributed through peer-reviewed journals. They also will be disseminated at research events in academic settings, national and international conferences as well as with presentations to provincial health authorities.

Project description:ObjectiveTo disentangle the relationships among food insecurity, health care utilization, and health care expenditures.Data sources/study settingWe use national data on 13 465 adults (age ≥ 18) from the 2016 Medical Expenditure Panel Survey (MEPS), the first year of the food insecurity measures.Study designWe employ two-stage empirical models (probit for any health care use/expenditure, ordinary least squares, and generalized linear models for amount of utilization/expenditure), controlling for demographics, health insurance, poverty status, chronic conditions, and other predictors.Principal findingsOur results show that the likelihood of any health care expenditure (total, inpatient, emergency department, outpatient, and pharmaceutical) is higher for marginal, low, and very low food secure individuals. Relative to food secure households, very low food secure households are 5.1 percentage points (P < .001) more likely to have any health care expenditure, and have total health care expenditures that are 24.8 percent higher (P = .011). However, once we include chronic conditions in the models (ie, high blood pressure, heart disease, stroke, emphysema, high cholesterol, cancer, diabetes, arthritis, and asthma), these underlying health conditions mitigate the differences in expenditures by food insecurity status (only the likelihood of any having any health care expenditure for very low food secure households remains statistically significant).ConclusionsPolicy makers and government agencies are focused on addressing deficiencies in social determinants of health and the resulting impacts on health status and health care utilization. Our results indicate that chronic conditions are strongly associated with food insecurity and higher health care spending. Efforts to alleviate food insecurity should consider the dual burden of chronic conditions. Finally, future research can address specific mechanisms underlying the relationships between food security, health, and health care.

Project description:BackgroundSince the introduction of higher valency pneumococcal conjugate vaccines in 2009, recent estimates on the economic burden of pediatric pneumococcal disease (PD) in Germany have been lacking. This study estimates healthcare resource utilization (HCRU) and medical cost associated with PDs in children < 16 years old in Germany from 2014-2019.MethodsA nationally representative sample from the Institute for Applied Health Research (InGef) German claims database was used, covering approximately 5% of the total German population. Episodes of pneumococcal pneumonia (PP), all-cause pneumonia (ACP), invasive pneumococcal disease (IPD), and acute otitis media (AOM) in children aged < 16 years were identified using ICD-10-GM codes. HCRU was estimated from annual rates of outpatient visits, outpatient antibiotic prescriptions and inpatient admissions, divided by person-years (PY) at-risk. Average direct medical costs per episode were estimated as the total cost of all HCRU, divided by the total number of episodes. The Mann-Kendall test was used to assess monotonic time trends from 2014-2019.Results During 2014-2019, 916,805 children aged < 16 years were followed up for a total of 3,608,716 PY. The average costs per episode for out-versus inpatient care associated with PP and ACP were €67 (95% CI 58-76) versus €2,606 (95% CI 1,338-3,873), and €63 (95% CI 62-63) versus €620 (95% CI 598-641), respectively. For IPD, the average medical cost per episode for out-versus inpatients were €30 (95% CI 19-42) versus €6,051 (95% CI 3,323-8,779), respectively. There were no significant trends in HCRU or costs for IPD or pneumonia over the study period, except for a significant reduction in ACP outpatient visits. A significant decrease in rate of outpatient visits and antibiotic prescribing for recurrent AOM was observed, in addition to an increase in rates of hospital admissions for simple AOM. This was paralleled by a significant increase in inpatient costs per episode for treating AOM overall, and simple AOM, over the study period.Conclusions The HCRU and cost per episode of pneumonia and IPD did not vary significantly from 2014-2019, but increased for AOM. The economic burden of pneumonia, IPD, and AOM remains substantial in Germany.

Project description:BackgroundGranular data related to the likelihood of individuals of different ages accessing acute and critical care services over time is lacking.MethodsWe used population-based, administrative data from Ontario to identify residents of specific ages (20, 30, 40, etc. to 100) on January 1st every year from 1995-2019. We assessed rates of emergency department (ED) visits (2003-19), hospitalizations, intensive care unit (ICU) admissions (2003-19), and mechanical ventilation.FindingsOverall the 25-year study period, ED were the most common acute healthcare encounter with 100-year-olds having the lowest rate (138.7/1,000) and 90-year-olds the highest (378.5/1,000). Rates of hospitalization ranged from 24.2/1,000 for those age 20 up to 224.9/1,000 for those age 90. Rates of ICU admission and mechanical ventilation were lowest for those age 20 (1.0 and 0.4/1,000), more than tripled by age 50 (3.3 and 1.7/1,000) and peaked at age 80 (20.3 and 10.1/1,000). Over time rates of ED visits increased (164.3 /1,000 in 2003 vs 199.1 /1,000 in 2019) as did rates of invasive mechanical ventilation (2.0/1,000 in 1995 vs 2.9/1,000 in 2019), whereas rates of ICU admission remained stable (4.8/1,000 in 2003 vs 4.9/1,000 in 2019) and hospitalization declined (66.8/1,000 in 1995 vs 51.5/1,000 in 2019). Age stratified analysis demonstrated that rates of ED presentation increased for those age 70 and younger while hospitalization decreased for all age groups; ICU admission and mechanical ventilation rates changed variably by age, with increasing rates demonstrated primarily among people under the age of 50.InterpretationRates of hospitalizations have decreased over time across all age groups, whereas rates of ED presentation, ICU admissions, and mechanical ventilation have increased, primarily driven by younger adults. These findings suggest that although the delivery of healthcare may be moving away from inpatient medicine, there is a growing population of young adults requiring significant healthcare resources.

Project description:ObjectiveWe aim to characterise persistent high utilisers (PHUs) of healthcare services, and correspondingly, transient high utilisers (THUs) and non-high utilisers (non-HUs) for comparison, to facilitate stratifying HUs for targeted intervention. Subsequently we apply machine learning algorithms to predict which HUs will persist as PHUs, to inform future trials testing the effectiveness of interventions in reducing healthcare utilisation in PHUs.Design and settingThis is a retrospective cohort study using administrative data from an Academic Medical Centre (AMC) in Singapore.ParticipantsPatients who had at least one inpatient admission to the AMC between 2005 and 2013 were included in this study. HUs incurred Singapore Dollar 8150 or more within a year. PHUs were defined as HUs for three consecutive years, while THUs were HUs for 1 or 2 years. Non-HUs did not incur high healthcare costs at any point during the study period.Outcome measuresPHU status at the end of the third year was the outcome of interest. Socio-demographic profiles, clinical complexity and utilisation metrics of each group were reported. Area under curve (AUC) was used to identify the best model to predict persistence.ResultsPHUs were older and had higher comorbidity and mortality. Over the three observed years, PHUs' expenditure generally increased, while THUs and non-HUs' spending and inpatient utilisation decreased. The predictive model exhibited good performance during both internal (AUC: 83.2%, 95% CI: 82.2% to 84.2%) and external validation (AUC: 79.8%, 95% CI: 78.8% to 80.8%).ConclusionsThe HU population could be stratified into PHUs and THUs, with distinctly different utilisation trajectories. We developed a model that could predict at the end of 1 year, whether a patient in our population will continue to be a HU in the next 2 years. This knowledge would allow healthcare providers to target PHUs in our health system with interventions in a cost-effective manner.

Dataset Information

Food insecurity, healthcare utilization, and high cost: a longitudinal cohort study.

Publications

Food insecurity, healthcare utilization, and high cost: a longitudinal cohort study.

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