Work Description

Title: Literature Searches: Optimizing Surgeon Well-Being: A Review and Synthesis of Best Practices Open Access Deposited

h
Attribute Value
Methodology
  • The literature searches were designed to support a systematic review entitled "Optimizing Surgeon Well-Being: A Review and Synthesis of Best Practices." The searches are presented in their entirety. They were run in 2020 and the research was published in Annals of Surgery Open in 2021.
Description
  • The intent of the project was to identify all relevant studies and data related to the topic. There are searches for the following databases: Ovid MEDLINE, Elsevier Embase, Clarivate Web of Science, and EBSCOhost CINAHL. The searches yielded 1168 citations after duplicates were removed in Endnote X8.
Creator
Depositor
  • markmac@umich.edu
Contact information
Discipline
Keyword
Date coverage
  • 2020-05-07
Citations to related material
  • Vitous, C. Ann MA, MPH*; Dinh, Duyhoang Q. BS†; Jafri, Sara M. BS‡; Bennett, Olivia M. BS†; MacEachern, Mark MLIS§; Suwanabol, Pasithorn A. MD, MS* Optimizing Surgeon Well-Being, Annals of Surgery Open: March 2021 - Volume 2 - Issue 1 - p e029 doi: 10.1097/AS9.0000000000000029
Resource type
Last modified
  • 11/21/2022
Published
  • 06/16/2022
Language
DOI
  • https://doi.org/10.7302/nff8-dx73
License
To Cite this Work:
MacEachern, M., Vitous, C. A., Dinh, D., Jafri, S., Bennett, O., Suwanabol, P. (2022). Literature Searches: Optimizing Surgeon Well-Being: A Review and Synthesis of Best Practices [Data set], University of Michigan - Deep Blue Data. https://doi.org/10.7302/nff8-dx73

Files (Count: 3; Size: 83 KB)

Date: 27 May 2022

Dataset Title: Literature Searches: Optimizing Surgeon Well-Being: A Review and Synthesis of Best Practices

Dataset Creator: M P MacEachern

Dataset Contact: markmac@umich.edu

Funding: None

Key Points: This dataset includes database searches to support a systematic review.

Introduction:
The literature searches contained in this deposit were designed to support a systematic review project on surgeon well-being. The intent of the searches was to identify all relevant studies and data related to the topic. In the dataset there are searches for the following databases: Ovid MEDLINE, Elsevier Embase, Clarivate Web of Science, and EBSCOhost CINAHL.

Methodology: The searches are presented in their entirety. The searches were run in 2020 and the research was published in Annals of Surgery Open in 2021.

Files:
All literature searches for the project are in these two files:
* SurgeonWellBeing_LiteratureSearches_20200507.pdf
* SurgeonWellBeing_LiteratureSearches_20200507.txt

Requirements:
The searches were designed to work in the following citation databases: Ovid MEDLINE, Elsevier Embase, Clarivate Web of Science, and EBSCOhost CINAHL. The terms can be adapted to other databases as well, as long as the search syntax is adjusted appropriately. These databases are proprietary. They may be available through libraries and educational institutions. No installation of software is necessary.

Using the searches:
* Open the pdf or txt file with the searches
* Paste the searches into the corresponding databases. All search strings can be executed in a single line search.
* The results will appear after you run the searches. The results numbers are included in the dataset. Note that the search result numbers reported in the dataset will be lower than present day because of the expanding coverage of time.

Related Publication:
Vitous, C. Ann MA, MPH*; Dinh, Duyhoang Q. BS†; Jafri, Sara M. BS‡; Bennett, Olivia M. BS†; MacEachern, Mark MLIS§; Suwanabol, Pasithorn A. MD, MS* Optimizing Surgeon Well-Being, Annals of Surgery Open: March 2021 - Volume 2 - Issue 1 - p e029 doi: 10.1097/AS9.0000000000000029

Use and Access:
http://creativecommons.org/licenses/by-nc/4.0/

To Cite the Dataset:
MacEachern, M., Vitous, C. A., Dinh, D., Jafri, S., Bennett, O., Suwanabol, P. Literature Searches: Optimizing Surgeon Well-Being: A Review and Synthesis of Best Practices [Data set], University of Michigan - Deep Blue Data.

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