Evidence map›Paper›PMID 33954272›Full record

ArticleJournal of academic ophthalmology (2017)2019

Impact of Electronic Health Record Implementation on Ophthalmology Trainee Time Expenditures.

Helena E Gali, Sally L Baxter, Lina Lander, Abigail E Huang, Marlene Millen, Robert El-Kareh, Eric Nudleman, Daniel L Chao, Shira L Robbins, Christopher W D Heichel and 8 more

Abstract read
In one paragraph

Article in Journal of academic ophthalmology (2017), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Measuring Documentation Burden in Healthcare.Journal of general internal medicine · 2024
    Pooled it
  2. Article
  3. Evaluation of Health Professions Trainee Experiences Transitioning to New VHA Electronic Health Record.Federal practitioner : for the health care professionals of the VA, DoD, and PHS · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. 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

18 authors.

Helena E GaliShiley Eye Institute and Viterbi Family Department of Ophthalmology, University of California San Diego (UCSD), La Jolla, California.ORCID 0000-0002-6882-0641
Sally L BaxterShiley Eye Institute and Viterbi Family Department of Ophthalmology, University of California San Diego (UCSD), La Jolla, California.
Lina LanderUCSD Health Department of Biomedical Informatics, University of California San Diego, La Jolla, California.
Abigail E HuangDepartment of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, Oregon.
Marlene MillenUCSD Health Department of Biomedical Informatics, University of California San Diego, La Jolla, California.
Robert El-KarehUCSD Health Department of Biomedical Informatics, University of California San Diego, La Jolla, California.
Eric NudlemanShiley Eye Institute and Viterbi Family Department of Ophthalmology, University of California San Diego (UCSD), La Jolla, California.
Daniel L ChaoShiley Eye Institute and Viterbi Family Department of Ophthalmology, University of California San Diego (UCSD), La Jolla, California.
Shira L RobbinsShiley Eye Institute and Viterbi Family Department of Ophthalmology, University of California San Diego (UCSD), La Jolla, California.
Christopher W D HeichelShiley Eye Institute and Viterbi Family Department of Ophthalmology, University of California San Diego (UCSD), La Jolla, California.
Andrew S CampShiley Eye Institute and Viterbi Family Department of Ophthalmology, University of California San Diego (UCSD), La Jolla, California.
Bobby S KornShiley Eye Institute and Viterbi Family Department of Ophthalmology, University of California San Diego (UCSD), La Jolla, California.
Jeffrey E LeeShiley Eye Institute and Viterbi Family Department of Ophthalmology, University of California San Diego (UCSD), La Jolla, California.
Don O KikkawaShiley Eye Institute and Viterbi Family Department of Ophthalmology, University of California San Diego (UCSD), La Jolla, California.
Christopher A LonghurstUCSD Health Department of Biomedical Informatics, University of California San Diego, La Jolla, California.
Michael F ChiangDepartment of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, Oregon.
Michelle R HribarDepartment of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, Oregon.
Lucila Ohno-MachadoUCSD Health Department of Biomedical Informatics, University of California San Diego, La Jolla, California.

Funding

Proteomics CoreP30EY010572 · NEI · OREGON HEALTH & SCIENCE UNIVERSITY · PI TED S ACOTT · 1995 to 2026
$19.4M
SAN DIEGO CLINICAL AND TRANSLATIONAL RESEARCH INSTITUTEUL1RR031980 · NCRR · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FIRESTEIN, GARY S · 2010 to 2011
$14.0M
Vision BiostatisticsP30EY022589 · NEI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Derek Stuart Welsbie · 2012 to 2026
$10.3M
San Diego Biomedical Informatics Education & Research (SABER)T15LM011271 · NLM · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SHAMIM NEMATI · 2012 to 2026
$9.7M
Modeling and Optimization of Clinical Processes Using EHR DataR00LM012238 · NLM · OREGON HEALTH & SCIENCE UNIVERSITY · PI HRIBAR, MICHELLE · 2017 to 2019
$672k
NCRR NIH HHS UL1 RR031980NEI NIH HHS P30 EY010572NEI NIH HHS P30 EY022589NLM NIH HHS R00 LM012238NLM NIH HHS T15 LM011271
6 · The paper itself

Abstract

objectiveElectronic health records (EHRs) are widely adopted, but the time demands of EHR use on ophthalmology trainees are not well understood. This study evaluated ophthalmology trainee time spent on clinical activities in an outpatient clinic undergoing EHR implementation.

designProspective, manual time-motion observations of ophthalmology trainees in 2018.

participantsEleven ophthalmology residents and fellows observed during 156 patient encounters.

methodsProspective time-motion study of ophthalmology trainees 2 weeks before and 6 weeks after EHR implementation in an academic ophthalmology department. Manual time-motion observations were conducted for 11 ophthalmology trainees in 6 subspecialty clinics during 156 patient encounters. Time spent documenting, examining, and talking with patients were recorded. Factors influencing time requirements were evaluated using linear mixed effects models.

main outcome measuresTotal time spent by ophthalmology residents and fellows per patient, time spent on documentation, examination, and talking with patients.

resultsSeven ophthalmology residents and four ophthalmology fellows with mean (standard deviation) postgraduate year of 3.7 (1.2) were observed during 156 patient encounters. Using paper charts, mean total time spent on each patient was 11.6 (6.5) minutes, with 5.4 (3.5) minutes spent documenting (48%). After EHR implementation, mean total time spent on each patient was 11.8 (6.9) minutes, with 6.8 (4.7) minutes spent documenting (57%). Total time expenditure per patient did not significantly change after EHR implementation (+0.17 minutes, 95% confidence interval [CI] for difference in means: -2.78, 2.45;

conclusionTotal time spent per patient and absolute time spent on documentation was not significantly different whether ophthalmology trainees used paper charts or the recently implemented EHR. Percentage of total time spent on documentation increased significantly with early EHR use. Evaluating EHR impact on ophthalmology trainees may improve understanding of how trainees learn to use the EHR and may shed light on strategies to address trainee burnout.

Indexed as

burnoutdocumentation timeelectronic health recordexamination timeophthalmology traineepaper charttalking timetime-motion

Identifiers

PMID33954272
PMCPMC8095731

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.