Evidence map›Paper›PMID 21315295›Full record

ReviewCurrent problems in pediatric and adolescent health care2011

Designing computerized decision support that works for clinicians and families.

Alexander G Fiks

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Current problems in pediatric and adolescent health care, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 3 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

22 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Trial
  6. Trial
  7. Trial
  8. Article
  9. Primary care asthma surveillance: a review of knowledge translation tools and strategies for quality improvement.Allergy, asthma, and clinical immunology : official journal of the Canadian Society of Allergy and Clinical Immunology · 2023
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Emergency Department Clinician Perspectives on the Data Availability to Implement Clinical Decision Support Tools for Five Clinical Practice Guidelines.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2018
    Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Review
  20. A shared e-decision support portal for pediatric asthma.The Journal of ambulatory care management
    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

1 author.

Alexander G FiksPediatric Research Consortium, Center for Biomedical Informatics, Policylab, Division of General Pediatrics at the Children’s Hospital of Philadelphia, Department of Pediatrics at the University of Pennsylvania School of Medicine, Philadelphia, USA.

Funding

Shared Decision Making in ADHDK23HD059919 · NICHD · CHILDREN'S HOSP OF PHILADELPHIA · PI FIKS, ALEXANDER GABRIEL · 2009 to 2013
$631k
NICHD NIH HHS K23 HD059919NICHD NIH HHS K23HD059919
6 · The paper itself

Abstract

Evidence-based decision-making is central to the practice of pediatrics. Clinical trials and other biomedical research provide a foundation for this process, and practice guidelines, drawing from their results, inform the optimal management of an increasing number of childhood health problems. However, many clinicians fail to adhere to guidelines. Clinical decision support delivered using health information technology, often in the form of electronic health records, provides a tool to deliver evidence-based information to the point of care and has the potential to overcome barriers to evidence-based practice. An increasing literature now informs how these systems should be designed and implemented to most effectively improve outcomes in pediatrics. Through the examples of computerized physician order entry, as well as the impact of alerts at the point of care on immunization rates, the delivery of evidence-based asthma care, and the follow-up of children with attention deficit hyperactivity disorder, the following review addresses strategies for success in using these tools. The following review argues that, as decision support evolves, the clinician should no longer be the sole target of information and alerts. Through the Internet and other technologies, families are increasingly seeking health information and gathering input to guide health decisions. By enlisting clinical decision support systems to deliver evidence-based information to both clinicians and families, help families express their preferences and goals, and connect families to the medical home, clinical decision support may ultimately be most effective in improving outcomes.

Indexed as

Decision Support Systems, ClinicalElectronic Health RecordsAsthmaChildHumansPatient Protection and Affordable Care ActPediatricsPrimary Health CareProfessional-Family RelationsSoftware DesignUnited States

Identifiers

PMID21315295
PMCPMC3373310

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.