| Literature DB >> 35055836 |
Katherine Petrie1, Natasha Smallwood2, Amy Pascoe2, Karen Willis3.
Abstract
BACKGROUND: Paramedics are vital to the health system response to the COVID-19 pandemic; however, the pressures on this workforce have been intense and challenging. This study reports on mental health symptoms and the working environment among Australian paramedics during the COVID-19 pandemic and explores their experiences of work and wellbeing during this time.Entities:
Keywords: COVID-19; mental health; mixed methods; occupational stress; pandemic; paramedics; workplace
Mesh:
Year: 2022 PMID: 35055836 PMCID: PMC8775775 DOI: 10.3390/ijerph19021004
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Participants’ characteristics (n = 7845).
| Characteristic | Paramedics ( | All Other Professions | ||
|---|---|---|---|---|
| Frequency ( | % | Frequency ( | % | |
| Age (years) | ||||
| 20–30 | 22 | 23.2 | 1838 | 23.7 |
| 31–40 | 32 | 33.7 | 2218 | 28.6 |
| 41–50 | 23 | 24.2 | 1715 | 22.1 |
| >50 | 18 | 18.9 | 1979 | 25.5 |
| Gender | ||||
| Male | 45 | 47.4 | 1413 | 18.2 |
| Female | 48 | 50.5 | 6295 | 81.2 |
| Non-binary | 1 | 1.1 | 18 | 0.2 |
| Prefer not to say | 1 | 1.1 | 24 | 0.3 |
| Living arrangements | ||||
| Lives alone | 15 | 15.8 | 1072 | 13.8 |
| Children <16 years at home | 37 | 38.9 | 2707 | 34.9 |
| Persons aged >65 years at home | 9 | 9.5 | 688 | 8.9 |
Workplace environment (n = 7845).
| Characteristic | Paramedics ( | All Other Professions ( | |||
|---|---|---|---|---|---|
| Frequency ( | % | Frequency ( | % |
| |
| Location of practice | <0.001 | ||||
| Metropolitan | 47 | 49.5 | 6325 | 81.6 | |
| Regional/remote | 48 | 50.5 | 1425 | 18.4 | |
| Current employment status | <0.001 | ||||
| Full time | 81 | 85.3 | 3736 | 48.2 | |
| Part time | 9 | 9.5 | 3633 | 46.9 | |
| Casual/other | 5 | 5.3 | 381 | 4.9 | |
| Any change in working hours since the pandemic commenced ** | |||||
| Increased paid hours | 31 | 32.6 | 1603 | 20.7 | 0.004 |
| Increased unpaid hours | 16 | 16.8 | 1670 | 21.5 | 0.27 |
| Decreased paid or unpaid hours | 4 | 4.2 | 862 | 11.4 | 0.03 |
| No change | 52 | 54.7 | 3986 | 51.4 | 0.52 |
| Currently working with people infected with COVID-19 | 77 | 81.1 | 2986 | 38.5 | <0.001 |
| Received training on PPE during the pandemic | 88 | 92.6 | 5049 | 65.1 | <0.001 |
| Confidence in using PPE | 5.30 ( | SD = 1.79 | 5.38 ( | SD =1.60 | 0.65 |
| Received training to care for patients with COVID-19 | 48 | 50.5 | 2744 | 35.4 | <0.01 |
| Confidence in caring for people with COVID-19 | 5.12 ( | SD = 1.63 | 4.89 ( | SD = 1.58 | 0.16 |
| Desires more training regarding PPE or managing people with COVID-19 | 43 | 45.3 | 2957 | 50.5 | 0.42 |
| Worried their role will lead to them transmitting COVID-19 to family | 0.18 | ||||
| Not worried | 11 | 11.8 | 718 | 12.3 | |
| Neutral | 5 | 5.4 | 669 | 11.4 | |
| Worried or very worried | 77 | 82.8 | 4473 | 76.3 | |
| Worried about being blamed by colleagues if they contract COVID-19 | 0.28 | ||||
| Strongly or somewhat agree | 62 | 65.3 | 4886 | 63.0 | |
| Neither agree/disagree | 19 | 20.0 | 1256 | 16.2 | |
| Strongly or somewhat disagree | 14 | 14.7 | 1608 | 20.7 | |
| Communication received from the workplace during the pandemic has been useful and timely | 0.79 | ||||
| Strongly or somewhat agree | 69 | 72.6 | 5763 | 74.4 | |
| Neither agree/disagree | 9 | 9.5 | 792 | 10.2 | |
| Strongly or somewhat disagree | 17 | 17.9 | 1195 | 15.4 | |
| Believed their workplace actively supported their wellbeing and mental health during the pandemic | 0.77 | ||||
| Strongly or somewhat agree | 63 | 66.3 | 5288 | 68.2 | |
| Neither agree/disagree | 14 | 14.7 | 1205 | 15.5 | |
| Strongly or somewhat disagree | 18 | 18.9 | 1257 | 16.2 | |
* Confidence was scored on a 7-point Likert scale: 1 = very unconfident, 7 = very confident. ** Multiple responses could be selected.
Mental health symptoms (n = 7845).
| Characteristic | Paramedics ( | All Other Professions ( | |||
|---|---|---|---|---|---|
| Frequency ( | % | Frequency ( | % |
| |
| Pre-existing mental health condition | 32 | 33.7 | 2357 | 30.4 | 0.49 |
| Self-reported mental health issues experienced since COVID * | |||||
| Anxiety | 51 | 53.7 | 4824 | 62.2 | 0.09 |
| Burnout | 58 | 61.1 | 4517 | 58.3 | 0.59 |
| Depression | 33 | 34.7 | 2142 | 27.6 | 0.13 |
| PTSD | 14 | 14.7 | 413 | 5.3 | <0.001 |
| Other mental health problems | 8 | 8.4 | 320 | 4.1 | 0.04 |
| No mental health issues | 17 | 17.9 | 1413 | 18.2 | 0.93 |
| Mental health issues assessed by validated scales | |||||
| Burnout—Depersonalisation (DP) | <0.001 | ||||
| Low | 43 | 45.3 | 4767 | 62.8 | |
| Moderate/High | 52 | 54.7 | 2825 | 37.2 | |
| Burnout—Emotional Exhaustion (EE) | 0.71 | ||||
| Low | 26 | 27.4 | 2216 | 29.1 | |
| Moderate/High | 69 | 72.6 | 5389 | 70.9 | |
| Burnout—Personal Accomplishment (PA) | 0.39 | ||||
| Low | 33 | 34.7 | 2325 | 30.6 | |
| Moderate/High | 62 | 65.3 | 5268 | 69.4 | |
| Anxiety—GAD7 | 0.62 | ||||
| None to Mild | 66 | 69.5 | 5559 | 71.8 | |
| Moderate to Severe | 29 | 30.5 | 2188 | 28.2 | |
| Depression—PHQ9 | 0.97 | ||||
| None to Mild | 73 | 76.8 | 5919 | 76.7 | |
| Moderate to Severe | 22 | 23.2 | 1801 | 23.3 | |
| Impact of events/trauma—IES6 | 0.75 | ||||
| None to Mild | 55 | 57.9 | 4585 | 59.5 | |
| Moderate to Severe | 40 | 42.1 | 3115 | 40.5 | |
| Resilience—CD-RISC-2 (mean score) | 3.18 ( | SD = 0.64 | 3.22 ( | SD = 0.66 | |
* Multiple options could be chosen. Anxiety (GAD-7): 0–4 = none/minimal, 5–9 = mild, 10–14 = moderate, 15–21 = severe anxiety; Depression (PHQ-9): 0–4 = none/minimal, 5–9 = mild, 10–14 = moderate, 15–19 = moderately severe, 20–27 = severe depression (Kroenke et al., 2001); PTSD (IES-6): 0–9: none-mild, >9 moderate-severe (Thoresen et al., 2009); Burnout on the MBI is indicated by higher scores on the EE and DP, and lower scores on the scale of PA. Burnout subdomains (MBI): depersonalisation DP: 0–3 = low, 4–6 = moderate, 7–18 = high; emotional exhaustion EE: 0–6 = low, 7–10 = moderate, 11–18 = high; personal accomplishment PA: 0–13 = low, 13–14 = moderate, 15–18 = high (Rikey et al., 2018).
Responses to free-text questions.
| Question | Gender * | Work Location | ||
|---|---|---|---|---|
| Female | Male | Metropolitan | Regional | |
| 1. What do you think would help you most in dealing with stress, anxieties, and other mental health issues (including burnout) related to the COVID-19 pandemic? ( | 37 | 24 | 29 | 32 |
| 2. What did you find to be the main challenges that you faced during the COVID-19 pandemic? ( | 46 | 34 | 42 | 39 |
| 3. What strategies might be helpful to assist frontline healthcare workers during future crisis events like pandemics, disasters, etc.? ( | 37 | 31 | 38 | 31 |
| 4. Is there anything else you would like to tell us about the impact of the COVID-19 pandemic or regarding supports that you feel are useful for well-being? ( | 14 | 12 | 8 | 18 |
* Questions 2 and 3 also include response from one participant who indicated ‘prefer not to say’.
Theme 1: The pervasiveness of COVID across all life domains.
| Work–life imbalance challenges | Not being able to spend time with family as I was working. (male, age 31–40) |
| Pervasiveness of COVID stress in everyday life | [I could never] “get away” from the pandemic stressors. Affected at work then again at home due to isolation and restrictions. (male, age 31–40). |
| Physical and emotional symptoms | [Main challenge was] fatigue, physical effects of PPE e.g., dehydration, headaches. (female, age 50–64) |
| Changes to coping strategies and lack of social support | Social isolation, not being able to travel, as travel was my time away and a de-stressor. Unable to connect with other people other than who I work with. (female, age 31–40) |
| Strategies needed to support mental health | Access to health facilities, i.e., pools/gyms, etc. (male, age 41–50) |
Theme 2: The challenges of widespread disruption at work.
| Disrupted, difficult working conditions | Added complexity and the volume of work and change in a short time is exhausting to keep up with. (female, age 50–64) |
| Working with inconsistencies | Biggest issues are inconsistent approaches between hospitals and having to follow different protocols depending on where patients are transported. Hard to know what we are doing at times as it changes so often, generally mid shift with no notification. (female, age 41–50) |
| Communication work challenges | [My service] have relied heavily upon “Workplace” which is a Facebook style social media platform that not all staff access. (male, age 20–30) |
| Supportive management | [We need] Less management demands at work regarding KPIs [key performance indicators] and [better] PPE management and constant updates about changes and policy alterations. it’s a stressful time and I feel management are adding to our stress more when not needed. (male, age 41–50) |
| Abandoned and disillusioned | I feel totally abandoned by my employer and I’m on my own to manage my own mental health. I have seen so many front line worker collapse emotionally and be treated that bad they leave or kill themselves. Lift your game. (male, age 41–50) |
| Workplace support for mental health | [We need] manager support, proactive support from psychologist or peer support services. (female, age 20–30) |
Theme 3: Risk, uncertainty and feeling unsafe at work.
| Feeling unsafe at work | [I have] constant fear of becoming infected and passing on to family (female, age 20–30) |
| The need for PPE | Anxiety in the workforce was in direct response to concern over appropriate/changing and supply of PPE. (female, age 50–64) |
| The challenges of balancing safety and patient care in high-risk workplace situations | Upper management [need to] take on suggestions that still provide best evidence based care for the patient and keep them safe BUT do not necessarily expose health care workers to risk. (female, age 41–50) |
| Unpredictability of day-to-day work | [Main challenge was] Not knowing what we would be walking into on a job (female, age 20–30) |
Theme 4: The challenges of pandemic (un)preparedness across the health system.
| Lack of resourcing and training at work | Consider extra training and resources prior to peak staff isolating and employ additional staff well before the requirement. (female, age 20–30) |
| Inadequate resourcing and training in the health system | [We need] Earlier identification and risk management planning. Better to go hard on risk management early such as PPE and training than have to play catch up later when people are already facing exposures. (male, age 31–40) |
| Reactive versus proactive approach across the organisation and the health system | [We need] the PPE to be highest level first then reduce if evidence supports. We went from lower to higher levels of PPE as evidence changed. Also case definition for suspected COVID-19 went from conservative to almost anyone. These two issues in combination could have been disastrous and never made sense so this was most stressful stage to work. (male, age 31–40) |