Evidence map›Paper›PMID 35551055›Full record

ArticleJMIR medical informatics2022

Characterization of Electronic Health Record Use Outside Scheduled Clinic Hours Among Primary Care Pediatricians: Retrospective Descriptive Task Analysis of Electronic Health Record Access Log Data.

Selasi Attipoe, Jeffrey Hoffman, Steve Rust, Yungui Huang, John A Barnard, Sharon Schweikhart, Jennifer L Hefner, Daniel M Walker, Simon Linwood

Abstract read
In one paragraph

Article in JMIR medical informatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 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. 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

9 authors.

Selasi AttipoeDivision of Health Services Management and Policy, College of Public Health, The Ohio State University, Columbus, OH, United States.ORCID https://orcid.org/0000-0001-9212-8412
Jeffrey HoffmanDivision of Clinical Informatics, Nationwide Children's Hospital, Columbus, OH, United States.ORCID https://orcid.org/0000-0003-4632-4943
Steve RustThe Abigail Wexner Research Institute, Nationwide Children's Hospital, Columbus, OH, United States.ORCID https://orcid.org/0000-0001-8492-7337
Yungui HuangThe Abigail Wexner Research Institute, Nationwide Children's Hospital, Columbus, OH, United States.ORCID https://orcid.org/0000-0003-3265-9902
John A BarnardDepartment of Pediatrics, The Ohio State University College of Medicine, Columbus, OH, United States.ORCID https://orcid.org/0000-0002-2500-9701
Sharon SchweikhartDivision of Health Services Management and Policy, College of Public Health, The Ohio State University, Columbus, OH, United States.ORCID https://orcid.org/0000-0002-1436-6666
Jennifer L HefnerDivision of Health Services Management and Policy, College of Public Health, The Ohio State University, Columbus, OH, United States.ORCID https://orcid.org/0000-0001-8083-8038
Daniel M WalkerDepartment of Family and Community Medicine, College of Medicine, The Ohio State University, Columbus, OH, United States.ORCID https://orcid.org/0000-0001-5434-3162
Simon LinwoodThe Abigail Wexner Research Institute, Nationwide Children's Hospital, Columbus, OH, United States.ORCID https://orcid.org/0000-0003-2876-2042

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMany of the benefits of electronic health records (EHRs) have not been achieved at expected levels because of a variety of unintended negative consequences such as documentation burden. Previous studies have characterized EHR use during and outside work hours, with many reporting that physicians spend considerable time on documentation-related tasks. These studies characterized EHR use during and outside work hours using clock time versus actual physician clinic schedules to define the outside work time.

objectiveThis study aimed to characterize EHR work outside scheduled clinic hours among primary care pediatricians using a retrospective descriptive task analysis of EHR access log data and actual physician clinic schedules to define work time.

methodsWe conducted a retrospective, exploratory, descriptive task analysis of EHR access log data from primary care pediatricians in September 2019 at a large Midwestern pediatric health center to quantify and identify actions completed outside scheduled clinic hours. Mixed-effects statistical modeling was used to investigate the effects of age, sex, clinical full-time equivalent status, and EHR work during scheduled clinic hours on the use of EHRs outside scheduled clinic hours.

resultsPrimary care pediatricians (n=56) in this study generated 1,523,872 access log data points (across 1069 physician workdays) and spent an average of 4.4 (SD 2.0) hours and 0.8 (SD 0.8) hours per physician per workday engaged in EHRs during and outside scheduled clinic hours, respectively. Approximately three-quarters of the time working in EHR during or outside scheduled clinic hours was spent reviewing data and reports. Mixed-effects regression revealed no associations of age, sex, or clinical full-time equivalent status with EHR use during or outside scheduled clinic hours.

conclusionsFor every hour primary care pediatricians spent engaged with the EHR during scheduled clinic hours, they spent approximately 10 minutes interacting with the EHR outside scheduled clinic hours. Most of their time (during and outside scheduled clinic hours) was spent reviewing data, records, and other information in EHR.

Indexed as

access log analysiselectronic health recordspediatricsprimary care physicianswork outside scheduled clinic hourswork outside work

Identifiers

PMID35551055
PMCPMC9136654

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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.