Evidence map›Paper›PMID 37468839›Full record

ArticleBMC public health2023

Potential mechanisms linking poverty alleviation and health: an analysis of benefit spending among recipients of the U.S. earned income tax credit.

Rita Hamad, Joseph Yeb, Kaitlyn Jackson, Wendi Gosliner, Lia C H Fernald

Abstract read
In one paragraph

Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Rita HamadDepartment of Social & Behavioral Sciences, Harvard School of Public Health, 677 Huntington Avenue, 7th Floor, Boston, MA, 02115, USA. rhamad@hsph.harvard.edu.
Joseph YebSchool of Public Health, Tufts University, Boston, MA, USA.
Kaitlyn JacksonDepartment of Social & Behavioral Sciences, Harvard School of Public Health, 677 Huntington Avenue, 7th Floor, Boston, MA, 02115, USA.
Wendi GoslinerNutrition Policy Institute, Division of Agriculture and Natural Resources, University of California, Oakland, CA, USA.
Lia C H FernaldDivision of Community Health Sciences, School of Public Health, University of California Berkeley, Berkeley, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe earned income tax credit (EITC) is the largest U.S. poverty alleviation program for low-income families, disbursed annually as a lump-sum tax refund. Despite its well-documented health impacts, the mechanisms through which the EITC affects health are not well understood. The objective of this analysis was to examine self-reported spending patterns of tax refunds among EITC recipients to clarify potential pathways through which income may affect health.

methodsWe first examined spending patterns among 2020-2021 Assessing California Communities' Experiences with Safety Net Supports (ACCESS) study participants (N = 241) and then stratified the analysis by key demographic subgroups.

resultsMore than half of EITC recipients reported spending their tax refunds on bills and debt (52.3%), followed by 49.4% on housing, and 37.8% on vehicles. Only 3.3% reported spending on healthcare. (Note: respondents could list more than one possible spending category.) Participants ages 30 + were more likely to spend on bills and debt relative to those ages 18-29 (57.6% versus 39.4%, respectively). Other subgroup analyses did not yield significant findings.

conclusionsOur findings suggest that EITC recipients primarily use their refunds on bills and debt, as well as on household and vehicle expenses. This supports the idea of the EITC as a safety net policy which addresses key social determinants of health.

Indexed as

Income TaxPovertyFamily CharacteristicsHousingHumansIncomeUnited StatesPolicy evaluationPovertySocial determinants of health

Identifiers

PMID37468839
PMCPMC10354901

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.