| Literature DB >> 35072149 |
C Langran1, E Mantzourani2, L Hughes2, K Hall1, S Willis3.
Abstract
BACKGROUND: There is a lack of evidence on how the multimodal dynamic process of resilience has impacted personal adaptation of frontline healthcare professionals, working under extreme pressure during the COVID-19 global pandemic.Entities:
Keywords: Burnout; COVID-19; Pharmacists; Resilience; Wellbeing
Year: 2022 PMID: 35072149 PMCID: PMC8760739 DOI: 10.1016/j.rcsop.2022.100104
Source DB: PubMed Journal: Explor Res Clin Soc Pharm ISSN: 2667-2766
Fig. 1Contextualised ABC-X model of stress to inform the process involved in the study of employee resilience adapted from ABC-X model of family stress.
Demographic information of participants.
| Number (%) | |
|---|---|
| Location of main job ( | |
| England | 141 (72%) |
| Wales | 37 (19%) |
| Northern Ireland | 8 (4%) |
| Scotland | 8 (4%) |
| No fixed place | 1 (1%) |
| Sector ( | |
| Community | 56 (28%) |
| GP practice | 10 (5%) |
| Hospital | 111 (56%) |
| Other | 13 (7%) |
| Split role | 7 (4%) |
| Employment status (n = 197) | |
| Business owner | 3 (2%) |
| Employee | 186 (94%) |
| Self-employed | 6 (3%) |
| Locum | – |
| Other | 2 (1%) |
| Working hours (n = 197) | |
| Full time | 133 (68%) |
| Part time | 60 (30%) |
| Variable | 2 (1%) |
| Other | 2 (1%) |
| Returned to practice in response to pandemic (n = 195) | |
| Yes | 16 (8%) |
| No | 179 (92%) |
| Year of registration as pharmacist (n = 197) | |
| Range | 1979–2020 |
| Median | 2006 |
| Mode | 2016 |
| Before 1970 | 0 (0%) |
| 1970–79 | 2 (1%) |
| 1980–89 | 26 (13%) |
| 1990–99 | 44 (22%) |
| 2000–09 | 50 (25%) |
| 2010–15 | 38 (19%) |
| 2016 or later | 37 (19%) |
| Gender ( | |
| Female | 149 (75%) |
| Male | 49 (25%) |
| Other | 0 (0%) |
| Caring for dependents at home ( | |
| Yes | 84 (44%) |
| No | 108 (56%) |
‘other’ and ‘split’ posts included roles in hospice / care-home / education / clinical commissioning groups / drug and alcohol teams / mental health crisis teams.
7 community, 9 hospital.
Scores for the three scales and correlation between them (2-tailed).
| Range | Mean total score (SD) | |
|---|---|---|
| Transformed SWEMWBS | 7–32.6 | 21.5 (3.4) |
| CD-RISC-10 | 0–40 | 26.8 (6.5) |
| OLBI ( | 20–60 | 40.4 (7.4) |
| 9–31 | 19.3 (4.2) | |
| 10–31 | 21.1 (4.0) | |
| Pearson correlation coefficient | ||
| SWEMWBS and CD-RISC-10 | 0.649 | <0.005 |
| SWEMWBS and OLBI | −0.574 | <0.005 |
| CD-RISC-10 and OLBI | −0.488 | <0.005 |
Transformed SWEMWBS: Possible range 7–35 where higher score = higher wellbeing; reference UK mean population score 23.6 (3.9), range 7–35.
CD-RISC-10: Possible range 0–40 where higher score = higher resilience; reference adult population mean 29–33.5.
OLBI total score: Possible range 16–64 where higher score = higher exhaustion and disengagement; reference population mean not available.
Fig. 2An overview of the themes constructed after inductive thematic analysis of the free-text comments that participants added in the COVID-19 pharmacist resilience study.
Fig. 3Summary of stressors, resources and pharmacist perceptions mapped to the ABC-X model.