Evidence map›Paper›PMID 33786378›Full record

ArticleJournal of medical education and curricular development

Impact of Patient Load on the Quality of Electronic Medical Record Documentation.

Aasems Jacob, Rishi Raj, Sayee Alagusundaramoorthy, Jing Wei, Jianrong Wu, Margaret Eng

Abstract read
In one paragraph

Article in Journal of medical education and curricular development. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Aasems JacobDepartment of Internal Medicine, University of Kentucky, Lexington, USA.ORCID https://orcid.org/0000-0002-7783-3786
Rishi RajDepartment of Internal Medicine, Pikeville, KY, USA.
Sayee AlagusundaramoorthyDepartment of Internal Medicine, University of Kentucky, Lexington, USA.ORCID https://orcid.org/0000-0002-9546-8145
Jing WeiDepartment of Statistics, University of Kentucky, Lexington, USA.
Jianrong WuDepartment of Biostatistics, University of Kentucky, Lexington, USA.
Margaret EngDepartment of Internal Medicine, Monmouth Medical Center, Long Branch, NJ, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveAmerican College of Graduate Medical Education (ACGME) recommends ongoing care of 10 patients per resident however its implication is unclear. We hypothesized EMR quality to vary based on patient load and call status.

methodsWe conducted a double-blind, single-center, retrospective observational study between 2017 and 2019 to investigate the quality and accuracy of resident documentation using the Responsible Electronic Documentation (RED) Checklist, a validated scoring system.

resultsA total of 234 independent charts were analyzed and 80 met scoring criteria. Average patients per residents was 4, 9.1, 7.2, and 5.5 on "call" day (D0), "post-call" day (D1), "mid-call" day (D2), and "pre-call" day (D3), respectively. Mean RED checklist scores were 68.1%, 57%, 68.6%, and 72.1% on the above call status. The difference in score between D3 and D1 was statistically significant (

conclusionEMR documentation quality is directly impacted by patient load and resident call status with the lowest documentation quality on post-call day, correlating with patient load.

Indexed as

documentationdocumentation qualityEMRpatient loadresidents

Identifiers

PMID33786378
PMCPMC7940739

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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.