Dataset Information

Diagnostic Accuracy of Two Food Insecurity Screeners Recommended for Use in Health Care Settings.

ABSTRACT: OBJECTIVES:To test the diagnostic accuracy of the American Academy of Pediatrics (AAP) recommended food insecurity screener. METHODS:We conducted prospective diagnostic accuracy studies between July and November 2016 in Chicago, Illinois. We recruited convenience samples of adults from adult and pediatric emergency departments (12-month recall study: n?=?188; 30-day recall study: n?=?154). A self-administered survey included the 6-item Household Food Security Screen (gold standard), the validated 2-item Hunger Vital Sign (HVS; often, sometimes, never response categories), and the 2-item AAP tool (yes-or-no response categories). RESULTS:Food insecurity was prevalent (12-month recall group: 46%; 30-day group: 39%). Sensitivity of the AAP tool using 12-month and 30-day recall was, respectively, 76% (95% confidence interval [CI]?=?65%, 85%) and 72% (95% CI?=?57%, 84%). The HVS sensitivity was significantly higher than the AAP tool (12-month: 94% [95% CI?=?86%, 98%; P?=?.002]; 30-day: 92% [95% CI?=?79%, 98%; P?=?.02]). CONCLUSIONS:The AAP tool missed nearly a quarter of food-insecure adults screened in the hospital; the HVS screening tool was more sensitive. Public health implications. Health care systems adopting food insecurity screening should optimize ease of administration and sensitivity of the screening tool.

SUBMITTER: Makelarski JA

PROVIDER: S-EPMC5636681 | biostudies-literature | 2017 Nov

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Diagnostic Accuracy of Two Food Insecurity Screeners Recommended for Use in Health Care Settings.

Makelarski Jennifer A JA Abramsohn Emily E Benjamin Jasmine H JH Du Senxi S Lindau Stacy Tessler ST

American journal of public health 20170921 11

<h4>Objectives</h4>To test the diagnostic accuracy of the American Academy of Pediatrics (AAP) recommended food insecurity screener.<h4>Methods</h4>We conducted prospective diagnostic accuracy studies between July and November 2016 in Chicago, Illinois. We recruited convenience samples of adults from adult and pediatric emergency departments (12-month recall study: n = 188; 30-day recall study: n = 154). A self-administered survey included the 6-item Household Food Security Screen (gold standard ...[more]

PMID: 28933929

Similar Datasets

Project description:This study examined the burden of food insecurity in India's un-notified slums, using an SDG framework to identify correlates of food insecurity. A convenience sampling approach was employed in selecting 38 slums from 675 un-notified slums across four geographic zones. Ten percent of the households in each slum site were selected from each zone, and one household member was interviewed, based on their availability and fulfilment of the eligibility criteria. Eligible individuals included those aged 18 years and above, who were resident in the selected slums and provided consent. Individuals with mental or physical challenges were excluded. A total sample of 907 study participants were included. Results showed that 43% (n = 393) of the participants were food insecure. More than half were females (73%, n = 285), who had not completed any schooling (51%, n = 202). One-third (n = 128) resided in the Northern Region of Delhi. SDG-related predictors of food insecurity included: household educational level (SDG 4 Quality education) (p = 0.03), coverage of health service needs (SDG 3 Good health and well-being) (p = 0.0002), electricity needs (SDG 7 affordable and clean energy) (p<0.0001), and employment needs (SDG 8 Decent and economic growth) (p = 0.003). Having healthcare needs that were partially or fully met was equally associated with higher food insecurity: this could be attributed to high healthcare costs and the lack of federal subsidies in un-notified slums, collectively contributing to high out-of-pocket health costs. Failure to fully meet employment needs was also significantly associated with higher food insecurity. However, met needs for electricity, finance, women's safety and satisfactory family relationships, were associated with lower food insecurity. Household predictors of food insecurity included: number of household members, and the presence of physically disabled household members. Necessary interventions should include connecting food insecure households to existing social services such as India's Public Distribution System, and multi-sector partnerships to address the existing challenges.

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:BackgroundAccurate diagnosis of anemia by community workers using a point-of-care device is a challenge. The objective of the study was to establish the diagnostic accuracy of point-of-care devices for detecting anemia in community settings.MethodsIt was diagnostic accuracy study with cross-sectional design on adult patients attending the outpatient department of rural/ urban health centres of Medical colleges from India. The index tests were HemoCue, TrueHb, Massimo's device and spectroscopic device, compared against autoanalyzer (gold standard). Accuracy was expressed by sensitivity, specificity, likelihood ratios, predictive values, area under the curve (AUC) and levels of agreement. For the diagnostic accuracy component, 1407 participants were recruited with a minimum of 600 for each device. An additional 200 participants were considered to elucidate the performance of devices in different weather conditions.ResultsHemoCue and TrueHb performed better than Massimo and spectroscopic devices. Detection of anemia by technicians was similar between TrueHb and HemoCue (AUC 0.92 v/s 0.90, p > 0.05). Community workers performed better with Hemocue for detecting anemia compared to TrueHb (AUC 0.92 v/s 0.90, p < 0.05). For detection of severe anemia, accuracy of TrueHb was significantly better with technicians (AUC 0.91 v/s 0.70; p < 0.05) and community workers (AUC 0.91 v/s 0.73; p < 0.05). HemoCue showed a bias or mean difference (95%CI) of 0.47 g/dl (0.42, 0.52) for all values, and 0.92 g/dl (0.82, 1.03) for severe anemia. For TrueHb, it was - 0.28 g/dl (- 0.37, - 0.20) for all readings, and 0.06 g/dl (- 0.52, 0.63) for severe anemia. TrueHb appeared to be more consistent across different weather conditions, although it overestimated Hb in extreme cold weather conditions.ConclusionFor detection of anemia, True Hb and HemoCue were comparable. For severe anemia, True Hb seemed to be a better and feasible point-of-care device for detecting anemia in the community settings.

Project description:BackgroundHousehold food insecurity, a measure of income-related problems of food access, is growing in Canada and is tightly linked to poorer health status. We examined the association between household food insecurity status and annual health care costs.MethodsWe obtained data for 67 033 people aged 18-64 years in Ontario who participated in the Canadian Community Health Survey in 2005, 2007/08 or 2009/10 to assess their household food insecurity status in the 12 months before the survey interview. We linked these data with administrative health care data to determine individuals' direct health care costs during the same 12-month period.ResultsTotal health care costs and mean costs for inpatient hospital care, emergency department visits, physician services, same-day surgeries, home care services and prescription drugs covered by the Ontario Drug Benefit Program rose systematically with increasing severity of household food insecurity. Compared with total annual health care costs in food-secure households, adjusted annual costs were 16% ($235) higher in households with marginal food insecurity (95% confidence interval [CI] 10%-23% [$141-$334]), 32% ($455) higher in households with moderate food insecurity (95% CI 25%-39% [$361-$553]) and 76% ($1092) higher in households with severe food insecurity (95% CI 65%-88% [$934-$1260]). When costs of prescription drugs covered by the Ontario Drug Benefit Program were included, the adjusted annual costs were 23% higher in households with marginal food insecurity (95% CI 16%-31%), 49% higher in those with moderate food insecurity (95% CI 41%-57%) and 121% higher in those with severe food insecurity (95% CI 107%-136%).InterpretationHousehold food insecurity was a robust predictor of health care utilization and costs incurred by working-age adults, independent of other social determinants of health. Policy interventions at the provincial or federal level designed to reduce household food insecurity could offset considerable public expenditures in health care.

Dataset Information

Diagnostic Accuracy of Two Food Insecurity Screeners Recommended for Use in Health Care Settings.

Publications

Diagnostic Accuracy of Two Food Insecurity Screeners Recommended for Use in Health Care Settings.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets