Evidence map›Paper›PMID 31348165›Full record

ArticleJournal of public health management and practice : JPHMP

Developing a Regional Distributed Data Network for Surveillance of Chronic Health Conditions: The Colorado Health Observation Regional Data Service.

Emily Bacon, Gregory Budney, Jessica Bondy, Michael G Kahn, Emily V McCormick, John F Steiner, David Tabano, Jeanette A Waxmonsky, Rachel Zucker, Arthur J Davidson

Open access · greenAbstract read
In one paragraph

Article in Journal of public health management and practice : JPHMP. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.3field-weighted citation impact, top 12% of its field
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

16 citing papers in PubMed, 25 citations in OpenAlex.

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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

10 authors at 1 institution in 2 countries.

Emily BaconDepartment of Sociology and Population Program, Institute of Behavioral Science, University of Colorado Boulder, Boulder, Colorado (Ms Bacon); Denver Public Health, Denver Health, Denver, Colorado (Mr Budney, Ms McCormick, and Dr Davidson); Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Denver Anschutz Medical Campus, Denver, Colorado (Ms Bondy); Department of Pediatrics, University of Colorado Denver Anschutz Medical Campus, Denver, Colorado (Dr Kahn); Kaiser Permanente Colorado Institute for Health Research, Denver, Colorado (Dr Steiner); Kaiser Permanente Colorado Institute for Health Research, University of Colorado Skaggs School of Pharmacy and Pharmaceutical Sciences, Aurora, Colorado (Mr Tabano); Jefferson Center for Mental Health, Department of Family Medicine, University of Colorado Medical Anschutz Campus, Aurora, Colorado (Dr Waxmonsky); and University of Colorado Anschutz Medical Campus, Aurora, Colorado (Ms Zucker).
Gregory Budney
Jessica Bondy
Michael G Kahn
Emily V McCormick
John F Steiner
David Tabano
Jeanette A Waxmonsky
Rachel Zucker
Arthur J Davidson
Bacone College · US

Funding

NIH Prior Approval Process ProfessionalUL1TR002535 · NCATS · UNIVERSITY OF COLORADO DENVER · PI SOKOL, RONALD J. · 2018 to 2022
$51.1M
Colorado Clinical and Translational Sciences InstituteUL1TR001082 · NCATS · UNIVERSITY OF COLORADO DENVER · PI SOKOL, RONALD J. · 2013 to 2017
$48.0M
Developing Infrastructure for Patient-Centered Outcomes Research at Denver HealthR24HS022143 · AHRQ · DENVER HEALTH AND HOSPITAL AUTHORITY · PI HAVRANEK, EDWARD PAUL · 2013 to 2017
$4.9M
CATEGORY B: IMPLEMENTATION/CRAFT: CARDIOVASCULAR DISEASE REDUCTION: A FOCUSED TRAU58DP003493 · DP · DENVER HEALTH AND HOSPITAL AUTHORITY · PI BURMAN, WILLIAM J. · 2011 to 2013
$1.8M
AHRQ HHS R24 HS022143NCATS NIH HHS UL1 TR001082NCATS NIH HHS UL1 TR002535NCCDPHP CDC HHS U58 DP003493
6 · The paper itself

Abstract

Electronic health records (EHRs) provide an alternative to traditional public health surveillance surveys and administrative data for measuring the prevalence and impact of chronic health conditions in populations. As the infrastructure for secondary use of EHR data improves, many stakeholders are poised to benefit from data partnerships for regional access to information. Electronic health records can be transformed into a common data model that facilitates data sharing across multiple organizations and allows data to be used for surveillance. The Colorado Health Observation Regional Data Service, a regional distributed data network, has assembled diverse data partnerships, flexible infrastructure, and transparent governance practices to better understand the health of communities through EHR-based, public health surveillance. This article describes attributes of regional distributed data networks using EHR data and the history and design of Colorado Health Observation Regional Data Service as an emerging public health surveillance tool for chronic health conditions. Colorado Health Observation Regional Data Service and our experience may serve as a model for other regions interested in similar surveillance efforts. While benefits from EHR-based surveillance are described, a number of technology, partnership, and value proposition challenges remain.

Indexed as

AdolescentAdultAgedChronic DiseaseColoradoHumansInformation ServicesMiddle AgedPopulation SurveillancePrevalenceProgram DevelopmentSurveys and Questionnaires

Identifiers

PMID31348165
PMCPMC6286241
OpenAlexW2806825079

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.