Burnout in UK Paramedics: a National Survey (BURNS)

May 24, 2025 updated by: Jonathan Robinson, Ph.D, Teesside University

The aim of this observational study is to learn how common burnout is among UK paramedics and what factors are associated with it. It also aims to explore how burnout relates to sleep quality and the intention to leave the profession. The main questions it aims to answer are:

  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.

Study Overview

Status

Completed

Detailed Description

This cross-sectional observational study investigated the prevalence and associated factors of burnout among UK paramedics, with a particular focus on the relationship between burnout and sleep quality. The impetus for this research stems from increasing concerns about workforce sustainability within UK ambulance services, where high attrition rates and recruitment challenges have raised concerns about the occupational wellbeing of paramedics. Burnout and poor sleep quality are known to negatively impact both individual health and job performance, making this an urgent area for empirical study.

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.

Study Type

Observational

Enrollment (Actual)

92

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

      • Middlesbrough, United Kingdom, TS1 3BA
        • Teesside University

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

Yes

Sampling Method

Non-Probability Sample

Study Population

A member of the College of Paramedics, and/or a qualified or student Paramedic.

Description

Inclusion Criteria:

  • A member of the College of Paramedics, and/or a qualified or student Paramedic.
  • 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:

  • Under the age of 18 years.
  • 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.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Copenhagen Burnout Inventory (CBI) questionnaire (Kristensen et al., 2005)
Time Frame: This was completed at a single time point, depending on when the voluntary participant completed the questionnaire (between 10 March 2023 and 21 April 2023).
The CBI assesses three dimensions: personal burnout, work-related burnout, and client-related burnout. A contributing factor of burnout is sleeping pattern and quality. The PSQI assesses sleep quality and disturbances through seven subscales: sleep latency, sleep duration, sleep quality, sleep efficiency, sleep disturbances, use of sleeping medication, and daytime dysfunction. These seven domains of sleep quality can be summed to obtain a maximum achievable score of 21, which indicates the highest level of sleep disturbance.
This was completed at a single time point, depending on when the voluntary participant completed the questionnaire (between 10 March 2023 and 21 April 2023).

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Pittsburgh Sleep Quality Index (PSQI) questionnaire (Buysse et al., 1989).
Time Frame: This was completed at a single time point, depending on when the voluntary participant completed the questionnaire (between 10 March 2023 and 21 April 2023).
The PSQI assesses sleep quality and disturbances through seven subscales: sleep latency, sleep duration, sleep quality, sleep efficiency, sleep disturbances, use of sleeping medication, and daytime dysfunction. These seven domains of sleep quality can be summed to obtain a maximum achievable score of 21, which indicates the highest level of sleep disturbance.
This was completed at a single time point, depending on when the voluntary participant completed the questionnaire (between 10 March 2023 and 21 April 2023).

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Jonathan Robinson, PhD, Teesside University

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

March 10, 2023

Primary Completion (Actual)

April 21, 2023

Study Completion (Actual)

April 21, 2023

Study Registration Dates

First Submitted

May 16, 2025

First Submitted That Met QC Criteria

May 16, 2025

First Posted (Actual)

May 25, 2025

Study Record Updates

Last Update Posted (Actual)

May 30, 2025

Last Update Submitted That Met QC Criteria

May 24, 2025

Last Verified

May 1, 2025

More Information

Terms related to this study

Other Study ID Numbers

  • 12818

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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