| Literature DB >> 33851288 |
Karlee Johnston1, Claire L O'Reilly2, Brett Scholz3, Ekavi N Georgousopoulou3, Imogen Mitchell3.
Abstract
Background COVID-19 has impacted the psychological wellbeing of healthcare workers and has forced pharmacists to adapt their services. Objective To measure burnout and describe the work and psychosocial factors affecting pharmacists during COVID-19, and to compare males and females. Setting An online survey was distributed to a convenience sample of pharmacists practicing in any setting in Australia during April and June 2020. Method The survey collected demographic data, burnout scores using the validated Maslach Burnout Inventory (MBI), psychosocial and work-related variables using questions adapted from previous surveys. It was tested for readability by a group of pharmacists and academic clinicians before distribution via social media and professional organisations. Main outcome measure Burnout was calculated using mean MBI scores, descriptive statistics were used to report work and psychosocial variables and Pearson's chi-square compared males and females. Results Overall, 647 responses were analysed. Most participants were female n = 487 (75.7%) with hospital n = 269 (42.2%) and community n = 253 (39.9%) pharmacists well represented. Mean (SD) for emotional exhaustion (possible range 0-54) and depersonalisation (possible range 0-30) were 28.5 (13.39) and 7.98 (5.64), which were higher (increased burnout) than reported pre-COVID-19. Personal accomplishment (range 0-48, lower scores associated with burnout) mean (SD) 36.58 (7.56), was similar to previously reported. Males reported higher depersonalisation indicating more withdrawal and cynicism. Working overtime, medication supply and patient incivility were reported to affect work. Conclusion Pharmacists are experiencing burnout, with work and psychosocial factors affecting them during COVID-19. Knowledge of this and that males experience more depersonalisation is valuable to inform advocacy and interventions to support pharmacists.Entities:
Keywords: Burnout; COVID-19; Pandemic; Pharmacist; Psychological
Mesh:
Year: 2021 PMID: 33851288 PMCID: PMC8043093 DOI: 10.1007/s11096-021-01268-5
Source DB: PubMed Journal: Int J Clin Pharm
Demographic characteristics and employment details of survey respondents overall and in respect to their sex (n = 647)
| Characteristic | Overall | Females | Males | |
|---|---|---|---|---|
| Age in years, mean (SD) | 39.7 (12.1) | 38.7 (11.4) | 42.6 (13.4) | 0.001 |
| Primary Area of pharmacy practice | 0.186 | |||
| Community pharmacy only, n (%) | 253 (39.9) | 181 (37.8) | 68 (47.2) | |
| Hospital pharmacy only, n (%) | 269 (42.4) | 214 (44.7) | 52 (36.1) | |
| Other (Government/ policy, industry, outpatient/ clinic/ nursing home, accredited pharmacist), n (%) | 21 (3.3) | 16 (3.3) | 3 (2.1) | |
| Combination of any of the above, n (%) | 91 (14.4) | 68 (14.2) | 21 (14.6) | |
| Years of practice in pharmacy | 0.094 | |||
| Less than 5 years, n (%) | 118 (18.5) | 93 (19.3) | 23 (15.8) | |
| 5–10 years, n (%) | 144 (22.5) | 117 (24.3) | 26 (17.8) | |
| More than 10 years, n (%) | 377 (59) | 271 (56.3) | 97 (66.4) | |
| Employment status | < 0.001 | |||
| Full time, n (%) | 422 (65.2) | 296 (60.9) | 121 (81.2) | |
| Part time, n (%) | 164 (25.3) | 144 (29.6) | 30 (8.7) | |
| Casual, n (%) | 32 (4.9) | 19 (3.9) | 13 (8.7) | |
| Other, n (%) | 29 (4.5) | 27 (5.6) | 2 (1.3) | |
| In a position of management/leadership | 0.018 | |||
| Yes, n (%) | 366 (56.7) | 264 (54.4) | 98 (65.8) | |
| No, n (%) | 280 (43.3) | 221 (45.6) | 51 (34.2) |
All percentages are calculated on valid data
p values derived from Student’s t-test for age and Pearson’s chi-square test (or Fisher’s exact test when necessary) for all other variables
SD standard deviation
aParticipants were able to select more than one answer therefore percentages may add to more than 100%
Burnout questionnaire results of survey respondents overall and in respect to their sex (n = 647)
| MBI Burnout Category | Overall | Females | Males | |
|---|---|---|---|---|
| Emotional exhaustion (0–54), mean (SD) | 28.5 (13.4) | 28.8 (13.0) | 28.2 (14.6) | 0.656 |
| Depersonalisation (0–30), mean (SD) | 7.98 (5.6) | 7.6 (5.5) | 9.2 (6.1) | 0.004 |
| Personal accomplishment (0–48), mean (SD) | 36.6 (7.6) | 36.6 (7.5) | 36.8 (7.7) | 0.790 |
p values derived from Student’s t-test
MBI Maslach burnout inventory, SD standard deviation
Workplace factors of survey respondents overall and in respect to their sex (n = 647)
| Characteristic | Overall | Females | Males | |
|---|---|---|---|---|
| Cared for a COVID-19 positive patient | 0.064 | |||
| Yes, n (%) | 115 (17.8) | 87 (17.9) | 27 (18.1) | |
| No, n (%) | 421 (65.2) | 326 (67.2) | 88 (59.1) | |
| Not sure, n (%) | 110 (17) | 72 (14.8) | 34 (22.8) | |
| I have been working overtime as a result of COVID-19 | 0.188 | |||
| Yes, n (%) | 335 (52.2) | 245 (50.8) | 85 (57.4) | |
| No, n (%) | 307 (47.8) | 237 (49.2) | 63 (42.6) | |
| Precautionary measures in my workplace related to COVID-19 are: | 0.917 | |||
| Sufficient, n (%) | 458 (71.1) | 349 (72.0) | 103 70.1) | |
| Insufficient, n (%) | 128 (19.9) | 92 (19.0) | 30 (20.4) | |
| Don’t know, n (%) | 58 (9) | 44 (9.1) | 14 (9.5) | |
| Changes to regular job/role have resulted from COVID-19: | ||||
| Nothing has changed, n (%) | 44 (3.7) | 29 (6.0) | 13 (8.7) | 0.234a |
| Increased workload, n (%) | 431 (35.9) | 315 (64.8) | 109 (73.2) | 0.059a |
| Different work area to usual, n (%) | 218 (18.2) | 169 (34.8) | 44 (29.5) | 0.236a |
| Different role to usual, n (%) | 151 (12.6) | 109 (22.4) | 37 (24.8) | 0.073a |
| Other, n (%) | 163 (13.6) | 130 (26.7) | 29 (19.5) | 0.084a |
| What factors have most significantly affected your work: | ||||
| Medicines supply, n (%) | 491 (40.9) | 365 (75.1) | 117 (78.5) | 0.393a |
| Exposure to patients with significant morbidity and mortality, n (%) | 191 (15.9) | 142 (29.2) | 44 (29.5) | 0.942a |
| Personal health, n (%) | 165 (13.7) | 114 (23.5) | 44 (29.5) | 0.134a |
| Reduced staffing, n (%) | 201 (16.7) | 149 (30.7) | 48 (32.2) | 0.719a |
| Increased workload, n (%) | 425 (35.4) | 314 (64.6 | 104 (69.8) | 0.243a |
| Providing advice to patients/customers, n (%) | 244 (20.3) | 171 (35.2) | 67 (45) | 0.031a |
| Providing advice to organisation/staff, n (%) | 244 (18.7) | 165 (34) | 56 (37.6) | 0.415a |
| Working in different role to usual, n (%) | 157 (13.1) | 119 (24.5) | 34 (22.8) | 0.677a |
| Incivility/rudeness/poor behaviour of recipients, n (%) | 288 (24) | 218 (44.8) | 64 (43) | 0.683a |
| Other, n (%) | 111 (9.2) | 95 (19.5) | 14 (9.4) | 0.004a |
P values derived Pearson’s chi-square or Fisher’s exact test when necessary
All percentages are calculated on valid data
aParticipants were able to select more than one answer therefore percentages may add to more than 100%
Psychosocial factors and concerns of survey respondents overall and in respect to their sex (n = 647)
| Characteristic | Overall | Females | Males | P |
|---|---|---|---|---|
| Vulnerable person close contact | 0.743 | |||
| Yes, n (%) | 423 (65.5) | 316 (65.0) | 96 (64.9) | |
| No, n (%) | 173 (26.8) | 130 (26.7) | 43 (29.1) | |
| Not sure, n (%) | 44 (6.8) | 35 (7.2) | 9 (6.1) | |
| I have suffered financial loss as a result of COVID-19 | 0.002 | |||
| Yes, n (%) | 187 (29.1) | 126 (26.1) | 59 (39.6) | |
| No, n (%) | 456 (70.9) | 356 (73.9) | 90 (60.4) | |
| I have been treated differently because I work in healthcare during COVID-19 | 0.151 | |||
| Yes, n (%) | 262 (40.8) | 188 (39.0) | 68 (45.9) | |
| No, n (%) | 380 (59.2) | 294 (61.0) | 80 (54.1) | |
| My personal life or my family’s lifestyle has been affected by COVID-19 | 0.782 | |||
| Yes, n (%) | 563 (87.2) | 421 (86.8) | 131 (87.9) | |
| No, n (%) | 83 (12.8) | 64 (13.2) | 18 (12.1) | |
| In what way your personal life has been affected: | ||||
| It has not been affected, n (%) | 41 (6.2) | 27 (5.6) | 13 (8.7) | 0.179a |
| Financial impact due to loss of income to the household, n (%) | 137 (20.8) | 96 (19.8) | 38 (25.5) | 0.168a |
| Burden of caring for children as school closed, n (%) | 139 (21.5) | 104 (21.5) | 32 (21.5) | 1.00a |
| Isolation from family/friends, n (%) | 548 (83.0) | 415 (85.7) | 122 (82.4) | 0.357a |
| Loss or illness of loved one, n (%) | 27 (4.1) | 21 (4.3) | 6 (4.0) | 1.00a |
| Other, n (%) | 154 (23.3) | 119 (24.4) | 31 (20.8) | 0.380a |
| The degree of concern I have about my own personal health related to COVID-19: | 0.611 | |||
| Not concerned, n (%) | 155 (24.0) | 120 (24.7) | 35 (23.6) | |
| Slightly to somewhat concerned, n (%) | 408 (63.3) | 308 (63.5) | 91 (61.5) | |
| Very to extremely concerned, n (%) | 82 (12.7) | 57 (11.8) | 22 (14.9) | |
| The degree of concern I have about my family’s health related to COVID-19 | 0.925 | |||
| Not concerned, n (%) | 49 (7.6) | 37 (7.6) | 12 (8.2) | |
| Slightly to somewhat concerned, n (%) | 361 (56.1) | 274 (56.5) | 80 (54.4) | |
| Very to extremely concerned, n (%) | 234 (36.3) | 174 (35.9) | 55 (37.4) | |
| The degree to which my family is concerned about the risk of COVID-19 to mine or their health as a result of my work | 0.731 | |||
| Not concerned, n (%) | 90 (14.0) | 70 (14.5) | 19 (12.8) | |
| Slightly to somewhat concerned, n (%) | 373 (57.9) | 282 (58.3) | 84 (56.8) | |
| Very to extremely concerned, n (%) | 181 (28.1) | 132 (27.3) | 45 (30.4) | |
| In what ways has COVID-19 had a positive impact | ||||
| There is no positive impact, n (%) | 80 (6.7) | 50 (10.3) | 29 (19.5) | 0.003a |
| Increased awareness of disease control, n (%) | 407 (33.9) | 306 (62.8) | 93 (62.4) | 0.927a |
| Learning experience, n (%) | 358 (29.8) | 272 (55.9) | 80 (53.7) | 0.642a |
| Increased sense of togetherness and cooperation, n (%) | 308 (25.6) | 243 (49.9 | 62 (41.6) | 0.076a |
| Less busy than usual, n (%) | 113 (9.4) | 87 (17.9) | 24 (16.1) | 0.621a |
| Greater appreciation of life and work, n (%) | 289 (24.1) | 223 (45.8) | 60 (40,3) | 0.235a |
| Other, n (%) | 87 (7.2) | 65 (13.3) | 20 (13.4) | 0.981a |
P values derived Pearson’s chi-square or Fisher’s exact test when necessary
All percentages are calculated on valid data
aParticipants were able to select more than one answer therefore percentages may add to more than 100%