| Literature DB >> 35617711 |
Ann Ooms1, Celayne Heaton-Shrestha2, Sarah Connor3, Siobhan McCawley4, Jennie McShannon5, Graham Music6, Kay Trainor7.
Abstract
BACKGROUND: The last few years have witnessed a growing concern with the well-being of healthcare professionals internationally because of increasing recognition of its impact on patient outcomes and staff retention. The COVID-19 pandemic, which has placed additional and substantial pressure on frontline healthcare professionals, gives added urgency to the topic. While numerous, and successful, interventions have been developed to address compromised well-being among healthcare professionals, they have not always been able to support the needs of frontline staff, specifically those working in high-pressure environments.Entities:
Keywords: Acute care; Healthcare professionals; Nurse; Systems-psychodynamic organisational interventions; Well-being at work; Well-being interventions
Mesh:
Year: 2022 PMID: 35617711 PMCID: PMC9020653 DOI: 10.1016/j.ijnurstu.2022.104257
Source DB: PubMed Journal: Int J Nurs Stud ISSN: 0020-7489 Impact factor: 6.612
Study participants' characteristics, pre- and post-programme.
| Respondent characteristics | Pre-programme | Post-programme | |
|---|---|---|---|
| Questionnaire respondents | |||
| Total number of participants | n = 52 | n = 37 | |
| Band | Band 2–4 (unqualified) | n = 10; 19% | n = 4; 11% |
| Band 5-8a (qualified) | n = 33; 64% | n = 23; 62% | |
| No response | n = 9; 17% | n = 10; 27% | |
| Gender | Female | 71.1% | 63.3% |
| Male | 28.9% | 36.7% | |
| Age range | 21–51 years | 24–47 years | |
| Focus group participants | |||
| Band | Band 2–4 (unqualified) | NA | n = 11 |
| Band 5-8a (qualified) | NA | n = 4 | |
| Gender | Female | NA | n = 12 |
| Male | NA | n = 3 | |
| Age range | NA | 24–49 years | |
Pro QOL scores of the three constructs pre- versus post-programme.
| Pre programme mean | Post programme mean | ||
|---|---|---|---|
| Compassion satisfaction | 36.84 | 38.14 | 0.381 |
| Burnout | 31.11 | 28.11 | 0.497 |
| Secondary traumatic stress | 25.06 | 24.00 | 0.343 |
No statistically significant difference at alpha < 0.05
Impact of the programme on participant and the Acute Assessment Unit (means and standard deviations).
| n | Mean (SD) | |
|---|---|---|
| This programme has had a positive impact on how we work together in the Acute Assessment Unit | 31 | 3.45 (0.56) |
| I feel more willing to support colleagues because of the programme | 31 | 3.26 (0.80) |
| This programme has given me an opportunity to express my concerns relating to the Acute Assessment Unit | 31 | 3.23 (0.94) |
| I relate to people better as a result of the programme | 31 | 3.16 (0.88) |
| This programme has had a positive impact on how well we communicate across the unit | 31 | 3.13 (0.87) |
| This programme has had a positive impact on me personally | 31 | 3.10 (0.93) |
| This programme has had a positive impact on my job | 31 | 3.06 (0.84) |
| This programme has made me feel more positive about working at the Acute Assessment Unit | 31 | 3.06 (0.98) |
| This programme has had a positive impact on how we manage conflict and differences on the unit | 31 | 2.97 (0.86) |
| This programme has helped me to manage the emotional impact of working on the Acute Assessment Unit | 31 | 2.97 (0.93) |
| This programme has helped me to take up my role more effectively | 31 | 2.90 (0.96) |
| This programme has helped me manage my stress better | 31 | 2.87 (1.04) |
| I like being able to talk about my emotions at work better because of the programme | 31 | 2.81 (1.12) |
| I have seen some changes at AAU as a result of this programme | 31 | 2.71 (1.08) |
Coding scheme: No impact = 1; Minor impact = 2; Impact = 3 and Major impact = 4.
Impact of programme on how participants cope with stress caused by a range of factors (means).
| n | Mean (SD) | |
|---|---|---|
| Acute Assessment Unit colleagues | 31 | 3.03 (0.59) |
| Low level of support from other Acute Assessment Unit staff | 31 | 2.65 (0.78) |
| Your level of self confidence | 31 | 2.61 (0.955) |
| Your line manager | 31 | 2.55 (0.94) |
| Keeping up the quality of care | 31 | 2.55 (0.91) |
| Confidence in skills of your colleagues | 31 | 2.52 (0.91) |
| Low level of support from management | 31 | 2.48 (0.98) |
| Mental conditions of patients | 31 | 2.45 (0.91) |
| Your own mental health | 31 | 2.45 (1.01) |
| Keeping professional boundaries | 31 | 2.42 (0.94) |
| Personal situations at home | 31 | 2.39 (0.97) |
| Patients' relatives | 31 | 2.35 (0.86) |
| Colleagues outside the Acute Assessment Unit | 31 | 2.32 (0.89) |
| The tasks you need to perform | 31 | 2.29 (0.89) |
| Skill mix of staff at Acute Assessment Unit | 31 | 2.29 (0.99) |
| Workload | 31 | 2.23 (1.10) |
| Your own physical health | 31 | 2.23 (1.07) |
| Physical conditions of patients | 31 | 2.16 (0.92) |
| Lack of equipment and resources | 31 | 2.03 (1.0) |
| Lack of necessary skills among Acute Assessment Unit staff | 31 | 2.00 (0.88) |
| Financial concerns | 31 | 1.74 (0.91) |
Coding scheme: No impact = 1; Minor impact = 2; Impact = 3 and Major impact = 4.
Perceived impact of the programme on understanding and managing conflict in the unit (means).
| Pre-programme | Post-programme | Cohen's D effect size | ||
|---|---|---|---|---|
| I feel confident in my current role | 3.45 (0.61) | 3.60 (0.49) | 0.236 | |
| AAU manages workload challenges well | 2.77 (0.88) | 3.10 (0.75) | 0.083 | |
| AAU staff have a good understanding of conflicts between individual AAU staff members | 2.72 (0.84) | 3.13 (0.81) | 0.039 | 0.495 |
| AAU staff have a good understanding of conflicts between the different AAU staff groups | 2.68 (0.88) | 3.17 (0.86) | 0.021 | 0.562 |
| AAU is successful at resolving conflicts between individual AAU staff members | 2.62 (0.76) | 3.07 (0.77) | 0.016 | 0.589 |
| AAU is successful at resolving conflicts between the different AAU staff groups | 2.62 (0.79) | 3.07 (0.81) | 0.022 | 0.564 |
Significant difference at alpha < 0.05.