# NIH grant: Evaluating the Impacts of Paid Family Leave on Family Violence Morbidity and Mortality (1K01HD120701-01) — retained record

> Retained us-gov-api record from us-gov-api:nih-reporter.

Canonical: https://highsignal.app/data/records/07a2dddb9ffe034f

[← sources](https://highsignal.app/data)


source: [us-gov-api](https://highsignal.app/data/us-gov-api) (us-gov-api:nih-reporter)  published 2026-06-23 00:00 ingested 2026-06-29 10:35

[original source ↗](https://reporter.nih.gov/project-details/1K01HD120701-01)

## retained text



```
NIH grant 1K01HD120701-01: Evaluating the Impacts of Paid Family Leave on Family Violence Morbidity and Mortality
Institute: {'code': 'HD', 'abbreviation': 'NICHD', 'name': 'Eunice Kennedy Shriver National Institute of Child Health and Human Development', 'admin_org_id': '12500030', 'admin_funding_url': ''}. PI: Claire R McNellan. Award: $114040.
Start: 2026-06-23T00:00:00.
PROJECT SUMMARY/ABSTRACT
Family violence, including child maltreatment and intimate partner violence, is a common and costly public
health problem with long-lasting impacts on victims. Infants experience the highest rates of morbidity and
mortality attributed to child abuse and neglect, and the risks of intimate partner violence and intimate partner
homicide have been shown to increase in the postnatal period. Yet, few universal family violence prevention
policies target this critical period. In line with the NICHD scientific priority to assess prevention strategies that
address child maltreatment and violence, the research goal of the proposed Career Development Award (K01)
is to evaluate the relationship between the implementation of a state paid family leave (PFL) policy and
family violence (child maltreatment and IPV). Specifically, the proposed study will pursue the following aims:
1) evaluate the completeness of a novel multi-year data linkage developed for the purposes of this study and
estimate the association between PFL and family violence indicators; 2) estimate factors that predict the use of
state PFL, leveraging linked person-level data; and 3) estimate the causal effect of the implementation of state
PFL on indicators of morbidity and mortality attributed to family violence using a county-level difference-in-
differences design. Informed by the Family Stress Model, state PFL implementation is expected to reduce
family violence. Taken together, results will inform state and federal conversations about PFL and assist
agencies in the upstream prevention of violence. The PI aims to obtain formal training in causal identification,
how to execute study designs that uncover causal effects, and the application of causal effects models
to public policy analysis. The PI will also expand upon her expertise in current topics related to violence
prevention so that future work can draw on shared risk factors to identify cross-cutting prevention approaches.
The PI will work with an interdisciplinary team of mentors who are internationally recognized experts in child
abuse and neglect, causal inference for health policy evaluation, and the linkage and analysis of population-
based, administrative records. The research and training proposed will form the basis for R-level proposals and
enable the PI to become an independent investigator in injury and violence prevention, specifically with a focus
on public policies and systems that prevent child maltreatment and other forms of family violence.
```



document fetched 2026-07-05 08:57