Evidence map›Paper›PMID 29025116›Full record

SynthesisJournal of the American Medical Informatics Association : JAMIA2018

Applications of network analysis to routinely collected health care data: a systematic review.

Jason Cory Brunson, Reinhard C Laubenbacher

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of the American Medical Informatics Association : JAMIA, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Using graph theory to flexibly construct patient journeys in linked healthcare data.International journal of population data science · 2025
    Article
  11. Article
  12. Evaluation via simulation of statistical corrections for network nonindependence.Health services & outcomes research methodology · 2024
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Harnessing Event Report Data to Identify Diagnostic Error During the COVID-19 Pandemic.Joint Commission journal on quality and patient safety · 2022
    Article
  20. Review
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

2 authors.

Jason Cory BrunsonCenter for Quantitative Medicine, UConn Health, Farmington, CT, USA.
Reinhard C LaubenbacherCenter for Quantitative Medicine, UConn Health, Farmington, CT, USA.

Funding

Skeletal, Craniofacial and Oral Biology Training GrantT90DE021989 · NIDCR · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI MINA, MINA · 2011 to 2022
$4.5M
NIDCR NIH HHS T90 DE021989
6 · The paper itself

Abstract

Objective: To survey network analyses of datasets collected in the course of routine operations in health care settings and identify driving questions, methods, needs, and potential for future research. Materials and Methods: A search strategy was designed to find studies that applied network analysis to routinely collected health care datasets and was adapted to 3 bibliographic databases. The results were grouped according to a thematic analysis of their settings, objectives, data, and methods. Each group received a methodological synthesis. Results: The search found 189 distinct studies reported before August 2016. We manually partitioned the sample into 4 groups, which investigated institutional exchange, physician collaboration, clinical co-occurrence, and workplace interaction networks. Several robust and ongoing research programs were discerned within (and sometimes across) the groups. Little interaction was observed between these programs, despite conceptual and methodological similarities. Discussion: We use the literature sample to inform a discussion of good practice at this methodological interface, including the concordance of motivations, study design, data, and tools and the validation and standardization of techniques. We then highlight instances of positive feedback between methodological development and knowledge domains and assess the overall cohesion of the sample.

Indexed as

Data AnalysisDatasets as TopicDelivery of Health CareModels, TheoreticalSocial NetworkingElectronic Health RecordsHumansInterprofessional RelationsOrganizational Case StudiesQualitative Researchadministrative dataEHRgraph theorynetwork analysissecondary use

Identifiers

PMID29025116
PMCPMC6664849

What Socratic holds

Textmetadata
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 Socratic graph.