READ ME File For 'Nurse Shift Patterns 2021' Dataset DOI: 10.5258/SOTON/D2278 Date that the file was created: June, 2022 ------------------- GENERAL INFORMATION ------------------- ReadMe Author: CHIARA DALL'ORA, University of Southampton [0000-0002-6858-3535] Date of data collection: 06/2021 - 11/2021 Information about geographic location of data collection: Online, United Kingdom and Ireland Related projects: https://www.arc-wx.nihr.ac.uk/research-areas/workforce-and-health-systems/nursing-shift-patterns-in-acute-community-and-mental-health-hospital-wards/ -------------------------- SHARING/ACCESS INFORMATION -------------------------- Licenses/restrictions placed on the data, or limitations of reuse:CC-BY Recommended citation for the data: Nurse Shift Patterns 2021 dataset This dataset supports the publication: AUTHORS:Chiara Dall'Ora, Ourega-Zoe Ejebu, Jane Ball, Peter Griffiths TITLE: Shift work characteristics and burnout among nurses: cross-sectional survey JOURNAL: Occupational Medicine PAPER DOI IF KNOWN: -------------------- DATA & FILE OVERVIEW -------------------- This dataset contains: [Nursing_shift_patterns_your_views_experiences_preferences_PUREupload.csv, CSV file with all the survey data Data_dictionary.docx, Word document with data dictionary linking the survey variables to the questionnaire items and the possible responses] -------------------------- METHODOLOGICAL INFORMATION -------------------------- Description of methods used for collection/generation of data: online questionnaire Methods for processing the data: these are raw data, with invalid answers removed (i.e. not meeting the inclusion criteria: not nursing staff; not working in UK or Ireland) Describe any quality-assurance procedures performed on the data: Removed invalid answers (i.e. not meeting the inclusion criteria: not nursing staff; not working in UK or Ireland) People involved with sample collection, processing, analysis and/or submission: Chiara Dall'Ora -------------------------- DATA-SPECIFIC INFORMATION -------------------------- Number of variables: 92 Number of cases/rows: 790 Variable list, defining any abbreviations, units of measure, codes or symbols used: See Data_dictionary.docx