Population Health Impact and Cost-Effectiveness of Community-Supported Agriculture Among Low-Income US Adults: A Microsimulation Analysis

Basu, Sanjay; OʼNeill, Jessica; Sayer, Edward; Petrie, Maegan; Bellin, Rochelle; Berkowitz, Seth A.

doi:10.2105/ajph.2019.305364

Cited by 17 publications

(17 citation statements)

References 41 publications

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“…Both interventions demonstrated incremental cost-effectiveness ratios of <$100 000 per prevented DALY, with the cash transfer being more effective in the short term and the CSA being equally cost-effective in the long term, highlighting cost savings to society of −$191 100 per DALY averted (95% CI, −191 767 to −188 919) for the cash intervention and −$93 182 per DALY averted (95% CI, −93 707 to −92 503) for the CSA intervention. 132…”

Section: Nutritionmentioning

confidence: 99%

Heart Disease and Stroke Statistics—2023 Update: A Report From the American Heart Association

Tsao¹,

Aday²,

Almarzooq³

et al. 2023

Circulation

3,590

702

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BACKGROUND: The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS: The American Heart Association, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2023 Statistical Update is the product of a full year’s worth of effort in 2022 by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. The American Heart Association strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year’s edition includes additional COVID-19 (coronavirus disease 2019) publications, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains. RESULTS: Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. CONCLUSIONS: The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.

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Section: Nutritionmentioning

confidence: 99%

Heart Disease and Stroke Statistics—2023 Update: A Report From the American Heart Association

Tsao¹,

Aday²,

Almarzooq³

et al. 2023

Circulation

3,590

702

View full text Add to dashboard Cite

show abstract

“…MSMs were initially populated by a sample of theoretical (synthetic) individuals using population distributions' parameters of demographics and risk factors (including diet) taken either from observational prospective cohort studies [as applied in (17,41,42)] or, more frequently, from population-representative health surveys, often combined with census statistics [as applied in (16,(43)(44)(45)(46)(47)(48)]. This sample of individuals-the starting cohort-was either drawn by taking a weighted sample of individuals included in the cohorts/surveys or was created by generating a "closeto-reality" synthetic population (Table 2).…”

Section: Formulation Of the Starting Cohortmentioning

confidence: 99%

“…In all studies, synthetic individuals entering the MSM acquired individualized risk factor trajectories, simulated using age and time trends from survey data, and that determined the associated individualized health transition rules. For all studies identified, a dynamic MSM based on discrete time was used; hence, individuals in the MSM were simulated to experience particular events in cycles with a length of either 1 day (40) (20,22,23,26,28,30,39,42,(44)(45)(46). The daily, monthly, or annually based risks and the associated transition probabilities for the onset of the NCDs of interest were estimated from either a multi-state life table approach, a hazard calculation approach, a risk score framework, or a CRA framework (Table 2).…”

Section: Individual Risks (And Associated Transition Rules)mentioning

confidence: 99%

Microsimulation Modeling in Food Policy: A Scoping Review of Methodological Aspects

Mertens

Genbrugge

Ocira

et al. 2022

Advances in Nutrition

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Food policies for the prevention and management of diet-related non-communicable diseases (NCDs) have been increasingly relying on microsimulation models (MSMs) to assess effectiveness. Given the increased uptake of MSMs, this review aims to provide an overview of the characteristics of MSMs that link diets with NCDs. A comprehensive review was conducted in PubMed and Web of Knowledge. Inclusion criteria were: (i) findings from a MSM, (ii) diets, foods or nutrients as main exposure of interest, (iii) NCDs, such as overweight/obesity, type 2 diabetes, coronary heart disease, stroke or cancer as disease outcome for impact assessment. This review included information from 33 studies using MSM in analyzing diet and diverse food policies on NCDs. Hereby, most models employed stochastic, discrete-time, dynamic microsimulation techniques to calculate anticipated (cost-)effectiveness of strategies based on food pricing, food reformulation or dietary (lifestyle) interventions. Currently available models differ in the methodology used for quantifying the effect of the dietary changes on disease, and in the method for modelling disease incidence and mortality. However, all studies provided evidence that the models were sufficiently capturing the close-to-reality situation by justifying their choice of model parameters and validating externally their modelled disease incidence and mortality with observed or predicted event data. With the increasing use of various MSMs, between-model comparisons, facilitated by open access models and good reporting practices, would be important for judging model's accuracy, leading to continued improvement in the methodologies for developing and applying MSMs, and subsequently a better understanding of the results by policymakers. A statement of significance Given the advancement in the application of microsimulation modelling in evaluating food policies and measuring diet-related disease burdens, the present scoping review serves as an exercise to inform future modelling, hereby highlighting the need for transparency in model development, application and dissemination to advance and safeguard accuracy and relevance in modelling efforts.

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“…In an example of a cash-benchmarking study, a recent trial sought to improve diet quality among patients at a community health center who were overweight or obese. 20,21 This study compared having a subsidized membership to a community-supported agriculture (CSA) program, which provided a weekly allotment of fresh produce, to receiving the cash value of the subsidy. The study found greater diet quality improvement in the CSA group, which showed that there was value to the program above and beyond the cash value of the subsidy.…”

Section: Cash Benchmarkingmentioning

confidence: 99%

Cash Benchmarking For Integrated Health Care And Human Services Interventions: Finding The Value Added

2020

Self Cite

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Health-related social needs, which include food insecurity, housing instability, and lack of transportation, are strongly associated with poor health outcomes, more health care use, and higher health care spending. Integrating human services that address health-related social needs into health care may address these issues. In this article we propose an innovative methodological approach (borrowed from developmental economics) called cash benchmarking, which can help determine when health care and human services integration is most useful. This is important because while integrating human services into health care offers potential benefits, it also comes with potential downsides-including the medicalization of social needs; deemphasis of upstream societal causes of health-related social needs, such as tax policy and labor conditions; and opportunity costs within the health care system, as resources are shifted to delivering social care. Ultimately, cash benchmarking can help stakeholders navigate closer to the promise, and away from the pitfalls, of health care and human services integration.

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Population Health Impact and Cost-Effectiveness of Community-Supported Agriculture Among Low-Income US Adults: A Microsimulation Analysis

Cited by 17 publications

References 41 publications

Heart Disease and Stroke Statistics—2023 Update: A Report From the American Heart Association

Heart Disease and Stroke Statistics—2023 Update: A Report From the American Heart Association

Microsimulation Modeling in Food Policy: A Scoping Review of Methodological Aspects

Cash Benchmarking For Integrated Health Care And Human Services Interventions: Finding The Value Added

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