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Trial registered on ANZCTR


Registration number
ACTRN12625000083493
Ethics application status
Approved
Date submitted
11/12/2024
Date registered
24/01/2025
Date last updated
24/01/2025
Date data sharing statement initially provided
24/01/2025
Type of registration
Retrospectively registered

Titles & IDs
Public title
The Prevalence of Resilience, Psychological Well-being, and Mental Illness in Emergency Responders
Scientific title
The Prevalence of Resilience, Psychological Well-being, and Mental Illness in Emergency Responders
Secondary ID [1] 313547 0
Nil known
Universal Trial Number (UTN)
Trial acronym
Linked study record

Health condition
Health condition(s) or problem(s) studied:
Anxiety 336036 0
PTSD 336164 0
Depression 336165 0
Insomnia 336166 0
Stress 336167 0
Resilience 336168 0
Psychological Well-being 336169 0
Condition category
Condition code
Mental Health 332601 332601 0 0
Anxiety
Mental Health 332602 332602 0 0
Depression
Mental Health 332603 332603 0 0
Other mental health disorders
Neurological 332714 332714 0 0
Other neurological disorders

Intervention/exposure
Study type
Observational
Patient registry
False
Target follow-up duration
Target follow-up type
Description of intervention(s) / exposure
This is an observational, cross-sectional study utilising an online survey methodology to collect quantitative data. The once-off survey will be available to participants for a 30 day period.
The study will be conducted across various emergency responder organisations in Australia, including:
• NSW Ambulance Service (NSWAS) & Tasmanian Ambulance Service
• Australasian College of Paramedicine
• Other relevant emergency service organisations willing to participate
The online survey will be accessible via a secure web-based platform (Qualtrics) over a specified data collection period. The survey will take approximately 12 minutes to complete.
The survey will be available to participants for a 30 day period.
Observations will include participant levels of depression, PTSD, anxiety, insomnia, stress, resilience, and psychological well-being. In addition, they will also be asked demographic questions such as marital status, ethnicity, age, gender and current well-being practices.
Intervention code [1] 330138 0
Not applicable
Comparator / control treatment
No control group
Control group
Uncontrolled

Outcomes
Primary outcome [1] 340118 0
Anxiety
Assessment method [1] 340118 0
Anxiety: Measured using the Anxiety subscale of the Depression Anxiety Stress Scale 21 (DASS-21).
Timepoint [1] 340118 0
Cross-sectional survey measured at a single timepoint
Primary outcome [2] 340367 0
Post-Traumatic Stress Disorder (PTSD)
Assessment method [2] 340367 0
Measured using the Posttraumatic Stress Disorder Checklist for DSM-5 (PCL-5).
Timepoint [2] 340367 0
Cross-sectional survey measured at a single timepoint
Primary outcome [3] 340368 0
Depression
Assessment method [3] 340368 0
Depression: Measured using the Depression subscale of DASS-21.
Timepoint [3] 340368 0
Cross-sectional survey measured at a single timepoint
Secondary outcome [1] 443875 0
Insomnia (Primary Outcome)
Assessment method [1] 443875 0
Insomnia: Measured using the Insomnia Severity Index (ISI).
Timepoint [1] 443875 0
Cross-sectional survey measured at a single timepoint
Secondary outcome [2] 443876 0
Stress (Primary Outcome)
Assessment method [2] 443876 0
Stress: Measured using the Stress subscale of DASS-21.
Timepoint [2] 443876 0
Cross-sectional survey measured at a single timepoint
Secondary outcome [3] 443877 0
Resilience (Primary Outcome)
Assessment method [3] 443877 0
Resilience: Measured using the 14-Item Resilience Scale (RS-14).
Timepoint [3] 443877 0
Cross-sectional survey measured at a single timepoint
Secondary outcome [4] 443878 0
Psychological Well-being (Primary Outcome)
Assessment method [4] 443878 0
Measured using Ryff’s Scales of Psychological Well-Being 18-Item (RPWB-18).
Timepoint [4] 443878 0
Cross-sectional survey measured at a single timepoint

Eligibility
Key inclusion criteria
o Individuals aged 18 years and older.
o Currently employed as paramedics.
o Able to read and understand English.
o Provide informed consent to participate in the study.
Minimum age
18 Years
Maximum age
99 Years
Sex
Both males and females
Can healthy volunteers participate?
No
Key exclusion criteria
o Individuals under 18 years of age.
o Former emergency responders no longer active in their roles.
o Individuals who do not provide informed consent.

Study design
Purpose
Natural history
Duration
Cross-sectional
Selection
Defined population
Timing
Prospective
Statistical methods / analysis
Sample size was calculated using the G*Power software. It was determined that 323 paramedics would provide a good balance of precision for a nationwide survey with a 5% margin of error at a 95% confidence level. Adjusted for 70% response rate would be 462.
Data Preparation:
• Data Cleaning: Post-collection, data will be reviewed for completeness, consistency, and accuracy. Missing data patterns will be assessed, and appropriate imputation methods will be applied if necessary.
• Data Coding: Responses will be coded according to standardised coding schemes for each measurement instrument.
Descriptive Statistics:
• Summary Measures: Calculation of means, medians, standard deviations, and ranges for continuous variables; frequencies and percentages for categorical variables.
• Normality Assessment: Distribution of continuous variables will be assessed using skewness and kurtosis measures, as well as visual methods (e.g., histograms, Q-Q plots).
Inferential Statistics:
1. Comparative Analysis:
o t-Tests: One-sample and independent samples t-tests will be used to compare mean scores between emergency responders and general population norms.
o ANOVA: Analysis of variance will be conducted to compare means where applicable.
2. Correlation Analysis:
o Pearson Correlation Coefficient: To assess the strength and direction of relationships between continuous variables (e.g., resilience and stress levels).
o Spearman's Rank Correlation: Used when data do not meet parametric assumptions.
3. Regression Analysis:
o Multiple Linear Regression: To identify predictors of mental health outcomes, adjusting for potential confounders (e.g., age, gender, employment status).
o Logistic Regression: For dichotomous outcomes, assessing the odds ratios of developing specific mental health conditions based on predictor variables.

Recruitment
Recruitment status
Recruiting
Date of first participant enrolment
Anticipated
Actual
Date of last participant enrolment
Anticipated
Actual
Date of last data collection
Anticipated
Actual
Sample size
Target
Accrual to date
Final
Recruitment in Australia
Recruitment state(s)
ACT,NSW,TAS

Funding & Sponsors
Funding source category [1] 318009 0
University
Name [1] 318009 0
Griffith University
Country [1] 318009 0
Australia
Primary sponsor type
University
Name
Griffith University
Country
Australia
Secondary sponsor category [1] 320351 0
None
Name [1] 320351 0
Country [1] 320351 0

Ethics approval
Ethics application status
Approved
Ethics committee name [1] 316669 0
Griffith University Human Research Ethics Committee
Ethics committee address [1] 316669 0
Ethics committee country [1] 316669 0
Australia
Date submitted for ethics approval [1] 316669 0
21/02/2024
Approval date [1] 316669 0
21/02/2024
Ethics approval number [1] 316669 0
GU2024/072

Summary
Brief summary
Trial website
Public notes

Contacts
Principal investigator
Name 138598 0
Ms Abbie Little
Address 138598 0
Griffith University - 1 Parkland Drive, Southport, QLD 4215
Country 138598 0
Australia
Phone 138598 0
+61417128159
Email 138598 0
abbie.little@griffithuni.edu.au
Contact person for public queries
Name 138599 0
Abbie Little
Address 138599 0
Griffith University - 1 Parkland Drive, Southport, QLD 4215
Country 138599 0
Australia
Phone 138599 0
+61417128159
Email 138599 0
abbie.little@griffithuni.edu.au
Contact person for scientific queries
Name 138600 0
Abbie Little
Address 138600 0
Griffith University - 1 Parkland Drive, Southport, QLD 4215
Country 138600 0
Australia
Phone 138600 0
+61417128159
Email 138600 0
abbie.little@griffithuni.edu.au

Data sharing statement
Will the study consider sharing individual participant data?
Yes
Will there be any conditions when requesting access to individual participant data?
Persons/groups eligible to request access:
The public upon request and principle investigator discretion

Conditions for requesting access:
-

What individual participant data might be shared?
De-identified raw data in a excel spread sheet

What types of analyses could be done with individual participant data?
Any

When can requests for individual participant data be made (start and end dates)?
From:
3 months post publication

To:
around September 2025

Where can requests to access individual participant data be made, or data be obtained directly?
Through contacting the principle investigator by email: abbie.little@griffithuni.edu.au

Are there extra considerations when requesting access to individual participant data?
No


What supporting documents are/will be available?

No Supporting Document Provided


Results publications and other study-related documents

Documents added manually
No documents have been uploaded by study researchers.

Documents added automatically
No additional documents have been identified.