Evidence map›Paper›PMID 40370791›Full record

ArticleInternational journal of population data science2024

A statewide system for maternal-infant linked longitudinal surveillance: Indiana's model for improving maternal and child health.

Jill Inderstrodt, Daniel P Riggins, Acatia Greenwell, John P Price, Jennifer L Williams, Eden Bezy, Allison Forkner, Elizabeth Bowman, Summer D Miller, Titus K L Schleyer and 2 more

Abstract read
In one paragraph

Article in International journal of population data science, 2024. 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

12 authors.

Jill InderstrodtDepartment of Health Policy and Management, Indiana University Richard M. Fairbanks School of Public Health, 1050 Wishard Blvd, Indianapolis, IN 46202, United States of America.
Daniel P RigginsDepartment of Pediatrics, Sandra Eskenazi Outpatient Health Center, Eskenazi Health, 720 Eskenazi Ave, Indianapolis IN 46202, United States of America.
Acatia GreenwellRegenstrief Data Services, Regenstrief Institute, 1101 W 10th St, Indianapolis, IN 46202, United States of America.
John P PriceCenter for Biomedical Informatics, Regenstrief Institute, 1101 W 10th St, Indianapolis, IN 46202, United States of America.
Jennifer L WilliamsIndiana Health Information Exchange, 846 N Senate Ave # 300, Indianapolis, IN 46202, United States of America.
Eden BezyIndiana Department of Health, 2 N Meridian St, Indianapolis, IN 46204, United States of America.
Allison ForknerIndiana Department of Health, 2 N Meridian St, Indianapolis, IN 46204, United States of America.
Elizabeth BowmanMarion County Public Health Department, 3838 N. Rural Street, Indianapolis, IN 46205, United States of America.
Summer D MillerBell Flower Clinic, Marion County Public Health Department, 640 Eskenazi Ave, Indianapolis, IN 46202, United States of America.
Titus K L SchleyerCenter for Biomedical Informatics, Regenstrief Institute, 1101 W 10th St, Indianapolis, IN 46202, United States of America.
Shaun J GrannisCenter for Biomedical Informatics, Regenstrief Institute, 1101 W 10th St, Indianapolis, IN 46202, United States of America.
Brian E DixonDepartment of Health Policy and Management, Indiana University Richard M. Fairbanks School of Public Health, 1050 Wishard Blvd, Indianapolis, IN 46202, United States of America.

Funding

NCBDD CDC HHS U01 DD000026
6 · The paper itself

Abstract

Indiana, located in the Midwest region of the United States, faces significant challenges with respect to health, especially maternal and child health (MCH). These challenges include high rates of stillbirth, neonatal abstinence syndrome (NAS) and congenital syphilis (CS). Not only are these often-fatal conditions underreported, but it can also be difficult to track them longitudinally, as mothers and infants are not routinely linked through electronic health records (EHRs). This paper describes the process, structure and planned outcomes of a partnership between Indiana University, Regenstrief Institute and public health partners in support of the U.S. Centers for Disease Control and Prevention's Pregnant People-Infant Linked Longitudinal Surveillance (PILLARS) program. Together, academic, clinical and public health organisations are collaboratively developing an infrastructure and deploying novel methods to surveil stillbirth, CS and NAS longitudinally. The infrastructure includes: (a) deploying deterministic and probabilistic algorithms to link mothers and their infants using multiple, linked data sources; (b) creating and maintaining a registry of maternal-infant dyads; (c) using the registry to perform longitudinal surveillance in collaboration with Indiana public health authorities on stillbirth, NAS and CS and (d) translating information from surveillance activities into action by collaborating with public health and community-based organisations to improve and implement prevention activities in vulnerable Indiana communities. Our long-term goal is to improve outcomes for these conditions and other priority MCH outcomes by expanding our work to additional MCH use cases.

Indexed as

Maternal HealthPopulation SurveillanceElectronic Health RecordsFemaleHumansIndianaInfantInfant, NewbornLongitudinal StudiesNeonatal Abstinence SyndromePregnancyStillbirthSyphilis, Congenitalchild healthdata linkageHealth Information Exchangematernal health

Identifiers

PMID40370791
PMCPMC12076274

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Registered trials

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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.