Evidence map›Paper›PMID 35059685›Full record

ArticleOphthalmology science2021

Clinical Documentation During Scribed and Non-scribed Ophthalmology Office Visits.

Haley L Dusek, Isaac H Goldstein, Adam Rule, Michael F Chiang, Michelle R Hribar

Abstract read
In one paragraph

Article in Ophthalmology science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

5 authors.

Haley L DusekDepartment of Ophthalmology, Oregon Health & Science University, Portland, Oregon.
Isaac H GoldsteinDepartment of Statistics, University of California, Irvine, Irvine, California.
Adam RuleDepartment of Ophthalmology, Oregon Health & Science University, Portland, Oregon.
Michael F ChiangNational Eye Institute, National Institutes of Health, Bethesda, Maryland.
Michelle R HribarDepartment of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, Oregon.

Funding

TRAINING PROGRAM IN HEALTH INFORMATICST15LM007088 · NLM · OREGON HEALTH & SCIENCE UNIVERSITY · PI WILLIAM R HERSH, Vishnu Mohan · 1992 to 2026
$23.4M
Proteomics CoreP30EY010572 · NEI · OREGON HEALTH & SCIENCE UNIVERSITY · PI Kate E Keller · 1995 to 2026
$19.4M
Operationalizing Machine Learning and Discrete Event Simulation Models to Improve Clinic EfficiencyR01LM013426 · NLM · OREGON HEALTH & SCIENCE UNIVERSITY · PI HRIBAR, MICHELLE · 2020 to 2023
$1.3M
Modeling and Optimization of Clinical Processes Using EHR DataR00LM012238 · NLM · OREGON HEALTH & SCIENCE UNIVERSITY · PI HRIBAR, MICHELLE · 2017 to 2019
$672k
NEI NIH HHS P30 EY010572NLM NIH HHS R00 LM012238NLM NIH HHS R01 LM013426NLM NIH HHS T15 LM007088
6 · The paper itself

Abstract

purposeObserve the impact of employing scribes on documentation efficiency in ophthalmology clinics.

designSingle-center retrospective cohort study.

participantsA total of 29,997 outpatient visits conducted by seven attending ophthalmologists between 1/1/2018 and 12/31/2019 were included in the study; 18,483 with a scribe present during the encounter and 11,514 without a scribe present.

interventionUse of a scribe.

main outcome measuresTotal physician documentation time, physician documentation time during and after the visit, visit length, time to chart closure, note length, and percent of note text edited by physician.

resultsTotal physician documentation time was significantly less when working with a scribe (mean ± SD, 4.7 ± 2.9 vs. 7.6 ± 3.8 minutes/note,

conclusionsScribe use was associated with increased documentation efficiency through lower total documentation time and less note editing by physicians. However, the use of a scribe was also associated with longer office visit lengths and time to chart closure. The variability in the impact of scribe use on different measures of documentation efficiency leaves unanswered questions about best practices for the implementation of scribes, and warrants further study of effective scribe use.

Indexed as

Electronic health record (EHR)noteoffice visitscribe

Identifiers

PMID35059685
PMCPMC8765735

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.