Evidence map›Paper›PMID 28339689›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2017

Genomic decision support needs in pediatric primary care.

Jeffrey W Pennington, Dean J Karavite, Edward M Krause, Jeffrey Miller, Barbara A Bernhardt, Robert W Grundmeier

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. 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

6 authors.

Jeffrey W PenningtonDepartment of Biomedical and Health Informatics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Dean J KaraviteDepartment of Biomedical and Health Informatics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Edward M KrauseDepartment of Biomedical and Health Informatics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Jeffrey MillerDepartment of Biomedical and Health Informatics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Barbara A BernhardtDepartment of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
Robert W GrundmeierDepartment of Biomedical and Health Informatics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clinical genome and exome sequencing can diagnose pediatric patients with complex conditions that often require follow-up care with multiple specialties. The American Academy of Pediatrics emphasizes the role of the medical home and the primary care pediatrician in coordinating care for patients who need multidisciplinary support. In addition, the electronic health record (EHR) with embedded clinical decision support is recognized as an important component in providing care in this setting. We interviewed 6 clinicians to assess their experience caring for patients with complex and rare genetic findings and hear their opinions about how the EHR currently supports this role. Using these results, we designed a candidate EHR clinical decision support application mock-up and conducted formative exploratory user testing with 26 pediatric primary care providers to capture opinions on its utility in practice with respect to a specific clinical scenario. Our results indicate agreement that the functionality represented by the mock-up would effectively assist with care and warrants further development.

Indexed as

Attitude of Health PersonnelDecision Support Systems, ClinicalElectronic Health RecordsGenomicsPediatricsAdultAttitude to ComputersChildFemaleGenetic TestingHumansInterviews as TopicMaleMiddle AgedPediatriciansPediatric Nurse Practitionersclinical genetic testingdecision support systemselectronic health records

Identifiers

PMID28339689
PMCPMC7651914

What OpenQuestion 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 OpenQuestion graph.