Evidence map›Paper›PMID 23173944›Full record

ArticleBMC nephrology2012

Clinician's use of automated reports of estimated glomerular filtration rate: a qualitative study.

David H Smith, Jennifer Schneider, Micah L Thorp, Suma Vupputuri, Jessica W Weiss, Eric S Johnson, Adrianne Feldstein, Amanda F Petrik, Xuihai Yang, Susan R Snyder

Open access · goldAbstract read
In one paragraph

Article in BMC nephrology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 33% of its field
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 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Review
  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

10 authors at 4 institutions in 1 country.

David H SmithThe Center for Health Research, Kaiser Permanente Northwest, Portland, Oregon, USA. David.h.smith@kpchr.org
Jennifer Schneider
Micah L Thorp
Suma Vupputuri
Jessica W Weiss
Eric S Johnson
Adrianne Feldstein
Amanda F Petrik
Xuihai Yang
Susan R Snyder
Kaiser Permanente Center for Health Research · USCenters for Disease Control and Prevention · USKaiser Permanente · USOregon Health & Science University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is a growing awareness in primary care of the importance of identifying patients with chronic kidney disease (CKD) so that they can receive appropriate clinical care; one method that has been widely embraced is the use of automated reporting of estimated glomerular filtration rate (eGFR) by clinical laboratories. We undertook a qualitative study to examine how clinicians use eGFR in clinical decision making, patient communication issues, barriers to use of eGFR, and suggestions to improve the clinical usefulness of eGFR reports.

methodsOur study used qualitative methods with structured interviews among primary care clinicians including both physicians and allied health providers, recruited from Kaiser Permanente Northwest, a non-profit health maintenance organization.

resultsWe found that clinicians generally held favorable views toward eGFR reporting but did not use eGFR to replace serum creatinine in their clinical decision-making. Clinicians used eGFR as a tool to help identify CKD, educate patients about their kidney function and make treatment decisions. Barriers noted by several clinicians included a desire for greater education regarding care for patients with CKD and tools to facilitate discussion of eGFR findings with patients.

conclusionsThe manner in which clinicians use eGFRs appears to be more complex than previously understood, and our study illustrates some of the efforts that might be usefully undertaken (e.g. specific clinician education) when encouraging further promulgation of eGFR reporting and usage.

Indexed as

Qualitative ResearchDecision MakingElectronic Health RecordsFemaleGlomerular Filtration RateHumansMalePhysicians, Primary CarePrimary Health CareRenal Insufficiency, ChronicResearch Report

Identifiers

PMID23173944
PMCPMC3537573
OpenAlexW2131742253

What OpenQuestion holds

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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.