Evidence map›Paper›PMID 41784744›Full record

ArticleMaternal and child health journal2026

Enhancing PRAMS with Administrative Data Linkages: A Generalized Framework.

Jared W Parrish, Stephany Strahle, Shannon Vance, Russell S Kirby, Milton Kotelchuck

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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.

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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

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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

5 authors.

Jared W ParrishAlaska Division of Public Health, 3601 C St. Ste 358, Anchorage, AK, 99503, USA. jared.parrish@alaska.gov.ORCID http://orcid.org/0000-0003-2230-6900
Stephany StrahleCalifornia Pan-Ethnic Health Network, 2991 Sacramento St #298, Berkeley, CA, 94702, USA.
Shannon VanceAssociation of State and Territorial Health Officials, 2231 Crystal Drive, Suite 450, Arlington, VA, 22202, USA.
Russell S KirbyDepartment of Community Health Sciences, Chiles Center, College of Public Health, University of South Florida, 13201 Bruce B. Downs Blvd, MDC 56, Tampa, FL, 33612, USA.
Milton KotelchuckDivision of General Academic Pediatrics, Harvard Medical School, 125 Nashua Street, Room 8402, Boston, MA, 02114, USA.

Funding

CDC HHS 6NU38OT000290
6 · The paper itself

Abstract

introductionIntegrating administrative data with the Pregnancy Risk Assessment Monitoring System (PRAMS) enhances the evaluation of maternal and child health (MCH) programs, policies, and outcomes.

methodsDespite its proven value, past efforts to integrate PRAMS with administrative data have been inconsistent across jurisdictions, limiting broader applicability. To address this, the CDC partnered with the Association of State and Territorial Health Officials (ASTHO) to convene the PRAMS Data Linkage Learning Community.

resultsDrawing on the experiences of 12 participating states, prior research, and expert input, a five-phase generalized PRAMS linkage framework—Linkage Preparation, Data Preparation, Data Linkage, Research Data Set Creation and Analysis, and Sustainability—was developed. DISCUSSION: This framework provides practical tools and strategies to overcome common challenges and supports continuous and expanded use of data linkages. By enabling jurisdictions to explore MCH outcomes across diverse data sources, the framework promotes data-driven policy decisions, targeted interventions, and replication efforts that advance the field of maternal and child health.

Indexed as

Information Storage and RetrievalPopulation SurveillanceFemaleHumansPregnancyRisk AssessmentUnited StatesAdministrative dataData linkagePregnancy risk assessment monitoring system (PRAMS)Public health surveillance

Identifiers

PMID41784744

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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.