Evidence map›Paper›PMID 34446639›Full record

ArticleJournal of public health management and practice : JPHMP

A Governance Framework to Integrate Longitudinal Clinical and Community Data in a Distributed Data Network: The Childhood Obesity Data Initiative.

Emily M Kraus, Kenneth A Scott, Rachel Zucker, Dawn Heisey-Grove, Raymond J King, Thomas W Carton, Matthew F Daley, Sara J Deakyne Davies, Jason P Block, Matthew Haemer and 3 more

Abstract 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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

13 authors.

Emily M KrausObesity Prevention and Control Branch, Division of Nutrition, Physical Activity, and Obesity, National Center for Chronic Disease Prevention and Health Promotion (Drs King, Kraus, and Goodman), and Center for Surveillance Epidemiology and Laboratory Services (Ms Garrett), Centers for Disease Control and Prevention, Atlanta, Georgia; Public Health Informatics Institute, Decatur, Georgia (Dr Kraus); Denver Public Health, Denver, Colorado (Drs Davidson and Scott); Departments of Epidemiology (Dr Scott) and Biostatistics and Informatics (Dr Davidson), Colorado School of Public Health, Aurora, Colorado; Adult & Child Consortium for Health Outcomes Research & Delivery Science (Ms Zucker), and Department of Pediatrics, Section of Nutrition (Dr Haemer), University of Colorado Anschutz Medical Campus, Aurora, Colorado; Health Technical Center, The MITRE Corporation, McLean, Virginia (Dr Heisey-Grove); Institute for Health Research, Kaiser Permanente Colorado, Aurora, Colorado (Dr Daley); Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston, Massachusetts (Dr Block); Louisiana Public Health Institute, New Orleans, Louisiana (Dr Carton); United States Public Health Service, Washington, District of Columbia (Dr Goodman); Research Informatics & Advanced Analytics, Analytics Resource Center, and Children's Hospital Colorado, Aurora, Colorado (Ms Deakyne Davies).
Kenneth A Scott
Rachel Zucker
Dawn Heisey-Grove
Raymond J King
Thomas W Carton
Matthew F Daley
Sara J Deakyne Davies
Jason P Block
Matthew Haemer
Alyson B Goodman
Nedra Garrett
Arthur J Davidson

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

contextIntegrating longitudinal data from community-based organizations (eg, physical activity programs) with electronic health record information can improve capacity for childhood obesity research.

objectiveA governance framework that protects individual privacy, accommodates organizational data stewardship requirements, and complies with laws and regulations was developed and implemented to support the harmonization of data from disparate clinical and community information systems. PARTICIPANTS AND

settingThrough the Childhood Obesity Data Initiative (CODI), 5 Colorado-based organizations collaborated to expand an existing distributed health data network (DHDN) to include community-generated data and assemble longitudinal patient records for research.

designA governance work group expanded an existing DHDN governance infrastructure with CODI-specific data use and exchange policies and procedures that were codified in a governance plan and a delegated-authority, multiparty, reciprocal agreement.

resultsA CODI governance work group met from January 2019 to March 2020 to conceive an approach, develop documentation, and coordinate activities. Governance requirements were synthesized from the CODI use case, and a customized governance approach was constructed to address governance gaps in record linkage, a procedure to request data, and harmonizing community and clinical data. A Master Sharing and Use Agreement (MSUA) and Memorandum of Understanding were drafted and executed to support creation of linked longitudinal records of clinical- and community-derived childhood obesity data. Furthermore, a multiparty infrastructure protocol was approved by the local institutional review board (IRB) to expedite future CODI research by simplifying IRB research applications.

conclusionCODI implemented a clinical-community governance strategy that built trust between organizations and allowed efficient data exchange within a DHDN. A thorough discovery process allowed CODI stakeholders to assess governance capacity and reveal regulatory and organizational obstacles so that the governance infrastructure could effectively leverage existing knowledge and address challenges. The MSUA and complementary governance documents can inform similar efforts.

Indexed as

Pediatric ObesityChildColoradoHumans

Identifiers

PMID34446639
PMCPMC8781231

What OpenQuestion holds

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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.