Publications by authors named "K Kelleher"
Purpose Of Review: This paper reviews options for including community health accountability metrics for child healthcare systems, international and regional experience with such metrics, and some specific candidates for metric consideration.
Recent Findings: The inclusion of community metrics in child health accountability systems requires expanded accountability frameworks and re-education of clinicians. Most of the experience with use of community metrics in accountability systems comes from international settings.
Incarcerated at Birth: An Integrative Review of Prison Nurseries in the United States.
J Perinat Neonatal Nurs
November 2024
Purpose: To conduct an integrative review of extant literature on prison nursery programs in the United States.
Background: About 4-10% of U.S.
Article Synopsis
- Sparse data bias is an issue in data analysis, especially for rare binary outcomes, and while a two-step meta-analysis can help, it doesn't fully eliminate bias in effect estimation.
- The authors propose a new algorithm called ODAP-B, which utilizes modified Poisson regression to estimate relative risk more accurately and efficiently than traditional methods.
- Evaluations through simulations and real-world data reveal that ODAP-B provides closer effect estimates and is more privacy-preserving since it only requires aggregated data.