Evidence map›Paper›PMID 29472173›Full record

ArticleJMIR human factors2018

Co-Designing a Collaborative Chronic Care Network (C3N) for Inflammatory Bowel Disease: Development of Methods.

Michael Seid, George Dellal, Laura E Peterson, Lloyd Provost, Peter A Gloor, David Livingstone Fore, Peter A Margolis

Abstract read
In one paragraph

Article in JMIR human factors, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
–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

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. The Many Faces of Engagement: A Scoping Review of Paediatric Patient and Family Engagement in Clinical Care, Education and Research.Health expectations : an international journal of public participation in health care and health policy · 2026
    Article
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  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. The role of co-production in Learning Health Systems.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2021
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Addressing the Impact of the Coronavirus Disease 2019 (COVID-19) Pandemic on Hematopoietic Cell Transplantation: Learning Networks as a Means for Sharing Best Practices.Biology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation · 2020
    Review
  19. Article
  20. 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

7 authors.

Michael SeidPulmonary Medicine, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States.ORCID http://orcid.org/0000-0001-9773-9263
George DellalJames M Anderson Center for Health Systems Excellence, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States.ORCID http://orcid.org/0000-0003-0679-2320
Lloyd ProvostAssociates in Process Improvement, Austin, TX, United States.ORCID http://orcid.org/0000-0002-3724-0038
Peter A GloorCenter for Collective Intelligence, Massachusetts Institute of Technology, Cambridge, MA, United States.ORCID http://orcid.org/0000-0002-7271-3224
David Livingstone ForeCatabolic Design, Oakland, CA, United States.ORCID http://orcid.org/0000-0003-0516-2933
Peter A MargolisJames M Anderson Center for Health Systems Excellence, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States.ORCID http://orcid.org/0000-0002-2585-4630

Funding

Open Source Science: Transforming Chronic Illness CareR01DK085719 · NIDDK · CINCINNATI CHILDRENS HOSP MED CTR · PI MARGOLIS, PETER A, SEID, MICHAEL · 2009 to 2013
$7.1M
Modeling human hepatotropic infections in complex tissue organoidsR01DK085713 · NIDDK · ROCKEFELLER UNIVERSITY · PI BHATIA, SANGEETA N., RICE, CHARLES M · 2009 to 2013
$5.6M
NIDDK NIH HHS R01 DK085713NIDDK NIH HHS R01 DK085719
6 · The paper itself

Abstract

backgroundOur health care system fails to deliver necessary results, and incremental system improvements will not deliver needed change. Learning health systems (LHSs) are seen as a means to accelerate outcomes, improve care delivery, and further clinical research; yet, few such systems exist. We describe the process of codesigning, with all relevant stakeholders, an approach for creating a collaborative chronic care network (C3N), a peer-produced networked LHS.

objectiveThe objective of this study was to report the methods used, with a diverse group of stakeholders, to translate the idea of a C3N to a set of actionable next steps.

methodsThe setting was ImproveCareNow, an improvement network for pediatric inflammatory bowel disease. In collaboration with patients and families, clinicians, researchers, social scientists, technologists, and designers, C3N leaders used a modified idealized design process to develop a design for a C3N.

resultsOver 100 people participated in the design process that resulted in (1) an overall concept design for the ImproveCareNow C3N, (2) a logic model for bringing about this system, and (3) 13 potential innovations likely to increase awareness and agency, make it easier to collect and share information, and to enhance collaboration that could be tested collectively to bring about the C3N.

conclusionsWe demonstrate methods that resulted in a design that has the potential to transform the chronic care system into an LHS.

Indexed as

chronic diseasehealth care deliverypediatricsquality improvement

Identifiers

PMID29472173
PMCPMC5843790

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.