Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
92 participants
OBSERVATIONAL
2023-03-10
2023-04-21
Brief Summary
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1. What is the prevalence of burnout among UK paramedics?
2. How is burnout related to sleep quality?
3. What personal or job-related factors are linked to higher levels of burnout?
4. Does burnout relate to paramedics' intentions to leave the profession?
Participants completed an online survey that included:
1. Demographic questions (e.g. age, years of service, shift patterns)
2. The Copenhagen Burnout Inventory (CBI) to assess burnout
3. The Pittsburgh Sleep Quality Index (PSQI) to measure sleep quality
Questions about their intention to leave the profession
Researchers analysed the responses using statistical techniques to identify relationships between burnout, sleep quality, and work-related factors.
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Detailed Description
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Data were collected via an anonymous online survey disseminated through the College of Paramedics and social media channels. The survey comprised demographic questions (e.g. age, gender, years of service, shift length, and number of calls attended), the Copenhagen Burnout Inventory (CBI) to assess personal, work-related, and client-related burnout, and the Pittsburgh Sleep Quality Index (PSQI) to evaluate various dimensions of sleep quality. The survey also included an item assessing intention to leave the profession.
There are approximately 22,000 registrants (full, student and associate members) to the CoP (CoP, 2021), representing the total potential sample size eligible to complete the survey. A power analysis using an online sample size calculator (http://www.raosoft.com/samplesize.html) - based on a 50% response distribution, a 5% margin of error, and an 80% confidence level - indicates that the required sample size will be 164. To adjust for incomplete data, the sample size has been increased by 10%, indicating a sample of 181.
Analyses were conducted using JASP. Descriptive statistics were used to summarise participant characteristics and prevalence rates. Correlational analyses (both frequentist and Bayesian) examined associations between burnout scores, sleep quality, and key demographic and occupational variables. Logistic regression was employed to explore predictors of burnout, including PSQI scores, shift duration, call volume, and years of service.
This study provides novel insights into the occupational wellbeing of UK paramedics, with implications for workforce planning, health promotion, and retention strategies within emergency medical services.
Conditions
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Study Design
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CASE_ONLY
CROSS_SECTIONAL
Eligibility Criteria
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Inclusion Criteria
* At least 18 years of age to be able to provide consent to take part in the online survey.
* Able to read and write in the English language.
Exclusion Criteria
* Not a Paramedic (As associate members of the College of Paramedics are not required to be a paramedic).
* Not able to read and write in the English language.
18 Years
ALL
Yes
Sponsors
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Teesside University
OTHER
Responsible Party
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Jonathan Robinson, Ph.D
Senior Lecturer in Research Methods
Principal Investigators
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Jonathan Robinson, PhD
Role: PRINCIPAL_INVESTIGATOR
Teesside University
Locations
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Teesside University
Middlesbrough, , United Kingdom
Countries
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Other Identifiers
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12818
Identifier Type: -
Identifier Source: org_study_id
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