Evidence map›Paper›PMID 36773173›Full record

ArticleJournal of medical systems2023

Automated Emails to Improve Evening Staffing for Anesthesiologists.

Amy C Robertson, Yaping Shi, Matthew S Shotwell, Leslie C Fowler, Vikram Tiwari, Robert E Freundlich

Open access · bronzeAbstract read
In one paragraph

Article in Journal of medical systems, 2023. 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
1.3field-weighted citation impact, top 20% of its field
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, 3 citations in OpenAlex.

  1. Trial
  2. 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 at 2 institutions in 1 country.

Amy C RobertsonDepartment of Anesthesiology, Vanderbilt University Medical Center, The Vanderbilt Clinic, 1301 Medical Center Dr, 4648, 37232-5614, Nashville, TN, USA. Amy.robertson@vumc.org.ORCID http://orcid.org/0000-0002-5373-4265
Yaping ShiDepartment of Biostatistics, Vanderbilt University School of Medicine, Nashville, TN, USA.
Matthew S ShotwellDepartment of Biostatistics, Vanderbilt University School of Medicine, Nashville, TN, USA.
Leslie C FowlerDepartment of Anesthesiology, Vanderbilt University Medical Center, The Vanderbilt Clinic, 1301 Medical Center Dr, 4648, 37232-5614, Nashville, TN, USA.
Vikram TiwariDepartment of Anesthesiology, Vanderbilt University Medical Center, The Vanderbilt Clinic, 1301 Medical Center Dr, 4648, 37232-5614, Nashville, TN, USA.
Robert E FreundlichDepartment of Anesthesiology, Vanderbilt University Medical Center, The Vanderbilt Clinic, 1301 Medical Center Dr, 4648, 37232-5614, Nashville, TN, USA.
Vanderbilt University · USVanderbilt University Medical Center · US

Funding

Reducing Reintubation Risk in High-Risk Cardiac Surgery Patients with High-Flow Nasal Cannula -the "I-CAN" studyK23HL148640 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI FREUNDLICH, ROBERT EDWARD · 2020 to 2024
$867k
NHLBI NIH HHS K23 HL148640
6 · The paper itself

Abstract

Scheduling flexibility and predictability to the end of a clinical workday are strategies aimed at addressing physician burnout. A voluntary relief shift was created to increase the pool of anesthesiologists providing end of the day relief. We hypothesized that an automated email reminder would improve the number of evening relief shifts filled and increase the number of anesthesiologists participating in the program. An automated email reminder was implemented, which selectively emailed anesthesiologists without a clinical assignment one day in advance when the voluntary relief shifts were not filled, and anticipated case volume past 4:00 PM was expected to exceed the capacity of the on-call team. After implementation of the automated email reminder, the median number of providers who worked the relief shift on a typical day was 2.6, compared to 1.75 prior to the intervention. After the initial increase in the number of volunteers post-intervention, the trend in the weekly average number of volunteers tended to decrease but remained higher than before the intervention. A total of 22 unique anesthesiologists chose to participate in this program after the intervention. An automated email reminder increased the number of anesthesiologists volunteering for a relief shift. Leveraging automation to match staffing needs with case volume allows for recruitment of additional personnel on the days when volunteers are most needed. Increasing the pool of anesthesiologists available to provide relief is one strategy to improve end of the day predictability and work-life balance.

Indexed as

AnesthesiologistsPhysiciansElectronic MailHumansPersonnel Staffing and SchedulingWorkforceAutomated emailOperating room staffingPhysician burnoutScheduling

Identifiers

PMID36773173
PMCPMC9918833
OpenAlexW4320032832

What OpenQuestion holds

Textmetadata
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.