Evidence map›Paper›PMID 42902084›Full record

ArticleMaternal and child health journal2026

Effects of Paid Family Leave Policies on Intimate Partner Violence in New York City from 2012 to 2022.

J Bart Klika, Eric L Thibodeau, Catherine A Murphy, Melissa T Merrick, Katherine E Marçal, Kathryn Showalter, Yanghyun Park, Olivia D Chang, Kathryn Maguire-Jack

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Article in Maternal and child health journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

J Bart KlikaPrevent Child Abuse America, Chicago, IL, USA. bklika@preventchildabuse.org.ORCID http://orcid.org/0000-0002-4574-7971
Eric L ThibodeauPrevent Child Abuse America, Chicago, IL, USA.
Catherine A MurphyPrevent Child Abuse America, Chicago, IL, USA.
Melissa T MerrickPrevent Child Abuse America, Chicago, IL, USA.
Katherine E MarçalSchool of Social Work, Rutgers University, New Brunswick, NJ, USA.
Kathryn ShowalterCollege of Social Work, University of Kentucky, Lexington, KY, USA.
Yanghyun ParkSchool of Social Work, University of Michigan, Ann Arbor, MI, USA.
Olivia D ChangSchool of Social Work, University of Michigan, Ann Arbor, MI, USA.
Kathryn Maguire-JackSchool of Social Work, University of Michigan, Ann Arbor, MI, USA.

Funding

NCIPC CDC HHS R01CE003178
6 · The paper itself

Abstract

introductionExperiencing intimate partner violence (IPV) during the prenatal period can result in maternal mental health challenges, adverse birth outcomes (e.g., pre-term birth and low birth rates), and children's mental, cognitive, and physical health issues (Donovan et al., 2016; Hahn et al., 2018). Access to economic support policies, like state-sponsored paid family leave (PFL), during the perinatal period may be a strategy to reduce financial stress and prevent IPV (Niolon et al., 2017). This paper explores whether living in a state with PFL (i.e., New York) reduces IPV for working mothers during pregnancy.

methodsData for this study are drawn from the Pregnancy Risk and Monitoring System (PRAMS). We used difference-in-differences (DiD) accounting for multiple time periods and multiple groups to estimate the average treatment effect (ATE) of paid family leave enactment in New York State using data from New York City.

resultsWe found nearly a 30% reduction in IPV during pregnancy for working mothers in NYC compared to those living in states without a state-sponsored PFL policy. DISCUSSION: These findings suggest economic support policies may have an anticipatory effect on expectant caregivers. Additional research is needed to further understand this association.

Indexed as

Intimate partner violencePaid family leavePRAMS

Identifiers

PMID42902084

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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.