Evidence map›Paper›PMID 38684079›Full record

ArticleJournal of medical Internet research2024

Exploring the Impact of In Basket Metrics on the Adoption of a New Electronic Health Record System Among Specialists in a Tertiary Hospital in Alberta: Descriptive Study.

Melita Avdagovska, Craig Kuziemsky, Helia Koosha, Maliheh Hadizadeh, Robert P Pauly, Timothy Graham, Tania Stafinski, David Bigam, Narmin Kassam, Devidas Menon

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2024. 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

10 authors.

Melita Avdagovska *School of Public Health, University of Alberta, Edmonton, AB, Canada.ORCID 0000-0001-7932-4590
Craig KuziemskyOffice of Research Services and School of Business, MacEwan University, Edmonton, AB, Canada.ORCID 0000-0003-3904-5372
Helia KooshaSchool of Public Health, University of Alberta, Edmonton, AB, Canada.ORCID 0009-0003-8279-2872
Maliheh HadizadehSchool of Public Health, University of Alberta, Edmonton, AB, Canada.ORCID 0000-0002-7038-6450
Robert P PaulyMedicine Department, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, AB, Canada.ORCID 0000-0002-9642-5315
Timothy GrahamDepartment of Emergency Medicine, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, AB, Canada.ORCID 0000-0001-7896-4561
Tania StafinskiSchool of Public Health, University of Alberta, Edmonton, AB, Canada.ORCID 0000-0001-6679-7823
David BigamSurgery Department, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, AB, Canada.ORCID 0000-0003-2285-4173
Narmin KassamMedicine Department, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, AB, Canada.ORCID 0000-0002-9920-3849
Devidas MenonSchool of Public Health, University of Alberta, Edmonton, AB, Canada.ORCID 0000-0002-4172-8634

Funding

CIHR
6 · The paper itself

Abstract

backgroundHealth care organizations implement electronic health record (EHR) systems with the expectation of improved patient care and enhanced provider performance. However, while these technologies hold the potential to create improved care and system efficiencies, they can also lead to unintended negative consequences, such as patient safety issues, communication problems, and provider burnout.

objectiveThis study aims to document metrics related to the In Basket communication hub (time in In Basket per day, time in In Basket per appointment, In Basket messages received per day, and turnaround time) of the EHR system implemented by Alberta Health Services, the province-wide health delivery system called Connect Care (Epic Systems). The objective was to identify how a newly implemented EHR system was used, the timing of its use, and the duration of use specifically related to In Basket activities.

methodsA descriptive study was conducted. Due to the diversity of specialties, the providers were grouped into medical and surgical based on previous similar studies. The participants were further subgrouped based on their self-reported clinical full-time equivalent (FTE ) measure. This resulted in 3 subgroups for analysis: medical FTE <0.5, medical FTE >0.5, and surgical (all of whom reported FTE >0.5). The analysis was limited to outpatient clinical interactions and explicitly excluded inpatient activities.

resultsA total of 72 participants from 19 different specialties enrolled in this study. The providers had, on average, 8.31 appointments per day during the reporting periods. The providers received, on average, 21.93 messages per day, and they spent 7.61 minutes on average in the time in In Basket per day metric and 1.84 minutes on average in the time in In Basket per appointment metric. The time for the providers to mark messages as done (turnaround time) was on average 11.45 days during the reporting period. Although the surgical group had, on average, approximately twice as many appointments per scheduled day, they spent considerably less connected time (based on almost all time metrics) than the medical group. However, the surgical group took much longer than the medical group to mark messages as done (turnaround time).

conclusionsWe observed a range of patterns with no consistent direction. There does not seem to be evidence of a "learning curve," which would have shown a consistent reduction in time spent on the system over time due to familiarity and experience. While this study does not show how the included metrics could be used as predictors of providers' satisfaction or feelings of burnout, the use trends could be used to start discussions about future Canadian studies needed in this area.

Indexed as

Electronic Health RecordsTertiary Care CentersAlbertaHumansSpecializationdescriptive studyelectronic health recordsIn Basketinpatientsmetrics

Identifiers

PMID38684079
PMCPMC11091810

What OpenQuestion holds

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LicenceCC BY
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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.