COVID-19 vaccination beliefs, attitudes, and behaviours among health and social care workers in the UK: Survey dataset
Bell, S
, Clarke, R, Mounier-Jack, S
, Paterson, P
, Ismail, S
and Ojo-Aromokudu, O
(2021).
COVID-19 vaccination beliefs, attitudes, and behaviours among health and social care workers in the UK: Survey dataset.
[Dataset].
London School of Hygiene & Tropical Medicine, London, United Kingdom.
10.17037/DATA.00002525.
Data collected as part of an online cross-sectional survey to investigate COVID-19 vaccination beliefs, attitudes, and behaviours amongst health and social care workers (H&SCWs) in the UK by socio-demographic and employment variables. The survey included four main sections, comprised of questions relating to: (1) Demographics; (2) Employment; (3) COVID-19 vaccination beliefs and COVID-19 risk perceptions; and (4) Sources of COVID-19 vaccination information. In total, 1919 people were surveyed – 1658 healthcare workers (HCWs) and 261 social care workers (SCWs).
Additional Information
Anonymised study data may be requested for use in academic research and to improve healthcare, subject to evidence of ethics approval being provided. Consult codebook for a list of data variables that may be requested.
Keywords
COVID-19, COVID-19 vaccination, Healthcare workers, Social care workers, United KingdomItem Type | Dataset |
---|---|
Description of data capture | The study used a mixed-methods approach – involving an online cross-sectional survey and semi-structured interviews – to gain insight into COVID-19 vaccination beliefs, attitudes, and behaviours amongst health and social care workers (H&SCWs) in the UK by socio-demographic and employment variables. 1917 people were surveyed – 1658 healthcare workers (HCWs) and 261 social care workers (SCWs). Twenty participants were interviewed. A multi-methods approach was used to quantify the prevalence of different views on COVID-19 vaccine acceptability and to explore reasons behind these views. The survey included demographic questions and closed and open-text questions. Recruitment to the study led to 2307 survey link click-throughs. Of these, 388 cases were removed due to the participants not responding to questions beyond the 50% survey progress mark. Two further cases were removed due to ineligibility (i.e. participants were not frontline H&SCWs currently working in the UK), leaving 1917 included participants. In order to run the logistic regressions with an appropriate number of participants in each of the subcategories of the categorical variables, the variables Ethnicity and Job role were recoded from 20 categories and 16 categories, respectively, into an Ethnicity variable with 7 categories and a Job role variable with 6 categories. In addition, we performed a factor analysis on the Vaccine belief and Trust in information source items to reduce the number of variables in the regression models. This reduced the 13 Vaccine belief items into two composite variables; Combined COVID-19 Vaccine belief (important, safe, and effective) (Cronbach’s Alpha = .918) and Social norms to vaccinate against COVID-19 (Cronbach’s Alpha = .661) and 4 single items. The 12 Trust in information source items were reduced to three composite variables Trust in health system sources (Cronbach’s Alpha = .876), Trust in non-health system sources (Cronbach’s Alpha = .738), and Trust in Friends and Family members (Cronbach’s Alpha = .876). Participants were not required to answer every question in the survey. Missing data were assessed to be low and missing at random. Multiple imputation was used to replace missing data in continuous variables for use in each logistic regression model and comparisons. Although participant permission was provided for interview and open-text data to be shared, there are concerns that the data content may result in participant harm. Therefore, we are sharing the quantitative survey data only. |
Capture method | Interview: Telephone-delivery, Questionnaire: Fixed form - Web-based |
Collection Period |
From To 22 January 2021 8 February 2021 |
Date | 8 October 2021 |
Geographical area covered (offline during plugin upgrade) |
North Latitude East Longitude South Latitude West Longitude 58.883 1.30312 50.0937 -5.99181 |
Language(s) of written materials | English |
Creator(s) |
Bell, S |
LSHTM Faculty/Department |
Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology (-2023) Faculty of Public Health and Policy > Dept of Global Health and Development |
Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom, University of Southampton, Southampton, United Kingdom |
Funders |
Project Funder Grant Number Funder URI UNSPECIFIED UNSPECIFIED http://dx.doi.org/10.13039/501100000272 |
Date Deposited | 01 Oct 2021 15:55 |
Last Modified | 11 Sep 2024 10:23 |
Publisher | London School of Hygiene & Tropical Medicine |
HSCWs_Covid-19_vaccination_data.txt
-
subject - Data
-
lock - Restricted to Request access for all
- Data Sharing Agreement
- Available under Data Sharing Agreement
-
info - Cleaned survey data containing the responses of 1917 health and social care workers
description - text/plain
- folder_info
- 85B
Request a copy
HSCWs_Covid19_vaccination_codebook.html
-
subject - Documentation
-
- Available under Creative Commons: Attribution 4.0
-
info - Codebook for cleaned survey data
html - text/html
- folder_info
- 88kB
Download this file
Share this file
2525-UserGuide.html
-
subject - Documentation
-
- Available under Creative Commons: Attribution 4.0
-
info - User guide for HSCWs Covid-19 vaccination data
html - text/html
- folder_info
- 9kB
Download this file
Share this file
HSCWs_Covid-19_vaccination_survey.pdf
-
subject - Study Instrument
-
- Available under Creative Commons: Attribution 4.0
-
info - Survey questionnaire used to collect data on COVID-19 vaccination beliefs, attitudes, and behaviours amongst health and social care workers
picture_as_pdf - application/pdf
- folder_info
- 632kB
Share this file
Downloads
ORCID: https://orcid.org/0000-0003-4381-0030
ORCID: https://orcid.org/0000-0002-2801-379X
ORCID: https://orcid.org/0000-0002-4166-8248
ORCID: https://orcid.org/0000-0001-7246-7337
ORCID: https://orcid.org/0000-0003-3487-3478