Evidence map›Paper›PMID 33575787›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2021

Association between evidence-based training and clinician proficiency in electronic health record use.

Laura Hollister-Meadows, Rachel L Richesson, Jennie De Gagne, Neil Rawlins

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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  3. Observational
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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

4 authors.

Laura Hollister-MeadowsSchool of Nursing, Duke University, Durham, North Carolina, USA.
Rachel L RichessonSchool of Nursing, Duke University, Durham, North Carolina, USA.
Jennie De GagneSchool of Nursing, Duke University, Durham, North Carolina, USA.
Neil RawlinsSystem Provider Informatics, Providence Health, Richland, Washington, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe purpose of the study was to determine if association exists between evidence-based provider training and clinician proficiency in electronic health record (EHR) use and if so, which EHR use metrics and vendor-defined indices exhibited association. MATERIALS AND

methodsWe studied ambulatory clinicians' EHR use data published in the Epic Systems Signal report to assess proficiency between training participants (n = 133) and nonparticipants (n = 14). Data were collected in May 2019 and November 2019 on nonsurgeon clinicians from 6 primary care, 7 urgent care, and 27 specialty care clinics. EHR use training occurred from August 5 to August 15, 2019, prior to EHR upgrade and organizational instance alignment. Analytics performed were descriptive statistics, paired t-tests, multivariate correlations, and hierarchal multiple regression.

resultsFor number of appointments per 30-day reporting period, trained clinicians sustained an average increase of 16 appointments (P < .05), whereas nontrained clinicians incurred a decrease of 8 appointments. Only the trained clinician group achieved postevent improvement in the vendor-defined Proficiency score with an effect size characterized as moderate to large (dCohen = 0.625). DISCUSSION: Controversies exist on the return of investment from formal EHR training for clinician users. Previously published literature has mostly focused on qualitative data indicators of EHR training success. The findings of our EHR use training study identified EHR use metrics and vendor-defined indices with the capacity for translation into productivity and generated revenue measurements.

conclusionsOne EHR use metric and 1 vendor-defined index indicated improved proficiency among trained clinicians.

Indexed as

Computer LiteracyElectronic Health RecordsAmbulatory Care FacilitiesAttitude of Health PersonnelAttitude to ComputersEvidence-Based PracticeHumansMedical InformaticsNurse PractitionersPhysician AssistantsPhysiciansProfessional CompetenceRegression AnalysisWashingtonattitude to computersclinician trainingcomputer literacycomputer user trainingEHR useelectronic health recordsuser proficiency

Identifiers

PMID33575787
PMCPMC7973447

What OpenQuestion holds

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Registered trials

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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.