Development of a multimodal geomarker pipeline to assess the impact of social, economic, and environmental factors on pediatric health outcomes (2024)

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Erika Rasnick Manning, MS

Division of Biostatistics and Epidemiology, Cincinnati Children’s Hospital Medical Center

, Cincinnati, OH 45229,

United States

Corresponding author: Erika Rasnick Manning, MS, Division of Biostatistics and Epidemiology, Cincinnati Children’s Hospital Medical Center, 3333 Burnet Ave, Cincinnati, OH 45229,United States (erika.rasnick@cchmc.org)

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Qing Duan, PhD

Division of Biostatistics and Epidemiology, Cincinnati Children’s Hospital Medical Center

, Cincinnati, OH 45229,

United States

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Stuart Taylor, MS

Office of Population Health, Cincinnati Children’s Hospital Medical Center

, Cincinnati, OH 45229,

United States

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Sarah Ray, BS

Department of Pediatrics, University of Cincinnati College of Medicine

, Cincinnati, OH 45219,

United States

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Alexandra M S Corley, MD, MPH

Department of Pediatrics, University of Cincinnati College of Medicine

, Cincinnati, OH 45219,

United States

Division of General and Community Pediatrics, Cincinnati Children’s Hospital Medical Center

, Cincinnati, OH 45229,

United States

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Joseph Michael, MS

James M Anderson Center for Health Systems Excellence, Cincinnati Children’s Hospital Medical Center

, Cincinnati, OH 45229,

United States

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Ryan Gillette, MS

Office of Population Health, Cincinnati Children’s Hospital Medical Center

, Cincinnati, OH 45229,

United States

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Ndidi Unaka, MD, MEd

Office of Population Health, Cincinnati Children’s Hospital Medical Center

, Cincinnati, OH 45229,

United States

Department of Pediatrics, University of Cincinnati College of Medicine

, Cincinnati, OH 45219,

United States

Division of Hospital Medicine, Cincinnati Children’s Hospital Medical Center

, Cincinnati, OH 45229,

United States

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David Hartley, PhD, MPH

Department of Pediatrics, University of Cincinnati College of Medicine

, Cincinnati, OH 45219,

United States

James M Anderson Center for Health Systems Excellence, Cincinnati Children’s Hospital Medical Center

, Cincinnati, OH 45229,

United States

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Andrew F Beck, MD, MPH

Office of Population Health, Cincinnati Children’s Hospital Medical Center

, Cincinnati, OH 45229,

United States

Department of Pediatrics, University of Cincinnati College of Medicine

, Cincinnati, OH 45219,

United States

Division of General and Community Pediatrics, Cincinnati Children’s Hospital Medical Center

, Cincinnati, OH 45229,

United States

James M Anderson Center for Health Systems Excellence, Cincinnati Children’s Hospital Medical Center

, Cincinnati, OH 45229,

United States

Division of Hospital Medicine, Cincinnati Children’s Hospital Medical Center

, Cincinnati, OH 45229,

United States

Michael Fisher Child Health Equity Center, Cincinnati Children’s Hospital Medical Center

, Cincinnati, OH 45229,

United States

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Cole Brokamp, PhD

Division of Biostatistics and Epidemiology, Cincinnati Children’s Hospital Medical Center

, Cincinnati, OH 45229,

United States

Department of Pediatrics, University of Cincinnati College of Medicine

, Cincinnati, OH 45219,

United States

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RISEUP Research Team

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Journal of the American Medical Informatics Association, Volume 31, Issue 7, July 2024, Pages 1471–1478, https://doi.org/10.1093/jamia/ocae093

Published:

10 May 2024

Article history

Received:

08 November 2023

Revision received:

05 March 2024

Editorial decision:

14 April 2024

Accepted:

15 April 2024

Published:

10 May 2024

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    Erika Rasnick Manning, Qing Duan, Stuart Taylor, Sarah Ray, Alexandra M S Corley, Joseph Michael, Ryan Gillette, Ndidi Unaka, David Hartley, Andrew F Beck, Cole Brokamp, RISEUP Research Team , Development of a multimodal geomarker pipeline to assess the impact of social, economic, and environmental factors on pediatric health outcomes, Journal of the American Medical Informatics Association, Volume 31, Issue 7, July 2024, Pages 1471–1478, https://doi.org/10.1093/jamia/ocae093

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Abstract

Objectives

We sought to create a computational pipeline for attaching geomarkers, contextual or geographic measures that influence or predict health, to electronic health records at scale, including developing a tool for matching addresses to parcels to assess the impact of housing characteristics on pediatric health.

Materials and Methods

We created a geomarker pipeline to link residential addresses from hospital admissions at Cincinnati Children’s Hospital Medical Center (CCHMC) between July 2016 and June 2022 to place-based data. Linkage methods included by date of admission, geocoding to census tract, street range geocoding, and probabilistic address matching. We assessed 4 methods for probabilistic address matching.

Results

We characterized 124244 hospitalizations experienced by 69842 children admitted to CCHMC. Of the 55684 hospitalizations with residential addresses in Hamilton County, Ohio, all were matched to 7 temporal geomarkers, 97% were matched to 79 census tract-level geomarkers and 13 point-level geomarkers, and 75% were matched to 16 parcel-level geomarkers. Parcel-level geomarkers were linked using our exact address matching tool developed using the best-performing linkage method.

Discussion

Our multimodal geomarker pipeline provides a reproducible framework for attaching place-based data to health data while maintaining data privacy. This framework can be applied to other populations and in other regions. We also created a tool for address matching that democratizes parcel-level data to advance precision population health efforts.

Conclusion

We created an open framework for multimodal geomarker assessment by harmonizing and linking a set of over 100 geomarkers to hospitalization data, enabling assessment of links between geomarkers and hospital admissions.

electronic health records, data science, housing quality, pediatrics

© The Author(s) 2024. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com

This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/pages/standard-publication-reuse-rights)

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Research and Application

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