Evidence map›Paper›PMID 34173487›Full record

ArticleSocial sciences & humanities open2020

Supporting children and families through the pandemic, and after: The case for a US child allowance.

Megan A Curran, Elisa Minoff

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Social sciences & humanities open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.1field-weighted citation impact, top 13% of its field
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

2 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 1 country.

Megan A CurranCenter on Poverty and Social Policy, Columbia University, 1255 Amsterdam Avenue, 730 School of Social Work, New York, NY, 10027, USA.
Elisa MinoffCenter for the Study of Social Policy, 1575 Eye Street, NW, Suite 500, Washington, DC, 20005, USA.
Center for the Study of Social Policy · USColumbia University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic has precipitated a contraction in economic activity that is unprecedented in both its nature and speed. In doing so, it has exposed who is protected and supported by modern welfare states, and who is not. While the US has a relatively robust set of social insurance and assistance programs for older Americans and working-age Americans who become unemployed or disabled, it lacks - in contrast to many other wealthy nations - a comparably strong universal or wide-reaching mechanism to support families with children. The US emergency relief packages enacted to date will undoubtedly mitigate the economic effects of the current crisis for many families, but because this legislation relies on the existing social policy infrastructure, its intended cash relief reinforces current inequalities and underserves families with children, with a particular impact on immigrant families and families of color. To protect all families with children through the immediate crisis and beyond, existing gaps and inequities in the US social safety net must be addressed. The creation of a national US child allowance offers a concrete and evidence-based way in which to do so. This analysis outlines key shortcomings in the existing system of US public support for families with children, the ways in which these shortcomings have been exacerbated in the COVID-19 economic response package to date, and how a national child allowance can provide the immediate relief families need during the pandemic and the unfolding economic downturn, as well as lay the foundation for positive health and development for all children in the years to follow.

Indexed as

Child allowanceChild povertyCOVID-19DisparitySafety net

Identifiers

PMID34173487
PMCPMC7319634
OpenAlexW3037550287

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.