| Literature DB >> 35896357 |
Annita E Mathew1, Jordan D Nelson2, Mary Rasmussen3, Heather Ourth4.
Abstract
DISCLAIMER: In an effort to expedite the publication of articles related to the COVID-19 pandemic, AJHP is posting these manuscripts online as soon as possible after acceptance. Accepted manuscripts have been peer-reviewed and copyedited, but are posted online before technical formatting and author proofing. These manuscripts are not the final version of record and will be replaced with the final article (formatted per AJHP style and proofed by the authors) at a later time.Entities:
Keywords: COVID-19; burnout; depersonalization; emotional exhaustion; health-system pharmacists; job satisfaction pharmacist; pharmacy executive; pharmacy leadership; stress
Year: 2022 PMID: 35896357 PMCID: PMC9384597 DOI: 10.1093/ajhp/zxac198
Source DB: PubMed Journal: Am J Health Syst Pharm ISSN: 1079-2082 Impact factor: 2.980
Characteristics of Survey Respondents and Cross-tabulation of Burnout Assessed by 2 Single-Item Measures for Emotional Exhaustion and Depersonalization, for the Entire Sample (N = 407)
| Characteristic | No burnout on MBI-EE or MBI-DP | Burnout on MBI-EE or MBI-DP |
|
|
|---|---|---|---|---|
| Age | 7.88 (4) | 0.096 | ||
| 25-34 years | 12 (22.2) | 42 (77.8) | ||
| 35-44 years | 39 (27.1) | 105 (72.9) | ||
| 45-54 years | 39 (66.4) | 77 (66.4) | ||
| 55-64 years | 30 (58.3) | 42 (58.3) | ||
| ≥65 years | 7 (41.2) | 10 (58.8) | ||
| Gender | 3.34 (2) | 0.189 | ||
| Female | 73 (32.4) | 152 (67.6) | ||
| Male | 53 (31.0) | 118 (69.0) | ||
| Prefer not to identify | 0 (0) | 7 (100.0) | ||
| Position title | 4.31 (4) | 0.366 | ||
| Inpatient supervisor/manager | 16 (25.4) | 47 (74.6) | ||
| Outpatient supervisor/manager | 34 (33.3) | 68 (66.7) | ||
| Associate chief, clinical/operational or other pharmacy services | 45 (34.6) | 85 (65.4) | ||
| Chief, pharmacy services | 23 (26.1) | 65 (73.9) | ||
| VISN pharmacy executive | 6 (46.2) | 7 (53.8) | ||
| Tenure in current leadership position | 3.41 (4) | 0.491 | ||
| 0-4 years | 65 (34.9) | 121 (65.1) | ||
| 5-9 years | 31 (27.9) | 80 (72.1) | ||
| 10-14 years | 16 (26.2) | 45 (73.8) | ||
| 15-19 years | 4 (22.2) | 14 (77.8) | ||
| ≥20 years | 10 (35.7) | 18 (64.3) | ||
| Training history for management position | 4.10 (2) | 0.129 | ||
| Formal college degree program | 10 (20.8) | 38 (79.2) | ||
| Formal nondegree training program | 13 (41.9) | 18 (58.1) | ||
| On-the-job training | 102 (31.7) | 220 (68.3) |
Abbreviations: df, degrees of freedom; MBI-DP, Maslach Burnout Inventory for depersonalization; MBI-EE, Maslach Burnout Inventory for emotional exhaustion; VISN, Veterans Integrated Service Network.
aData shown as No. (%).
bFor the single-item measures, burnout was defined as a score of ≥4 (ie, a frequency of once a week or more).
cSignificance was defined as P ≤ 0.05.
Figure 1.Overall results for burnout in Veterans Health Administration (VHA) pharmacy leadership by Maslach Burnout Inventory validated single-item measures for emotional exhaustion (MBI-EE) and depersonalization (MBI-DP). Aggregate results indicate respondents that scored a 4 or higher on either the MBI-EE or MBI-DP.
Workplace Factors and Career Outlook of Survey Respondents
| Variable | No burnout on MBI-EE or MBI-DP | Burnout on MBI-EE or MBI-DP |
|
|
|---|---|---|---|---|
| Time worked per week (at institution + home) | ||||
| 40-60 hours | 118 (33.1) | 238 (66.9) | NA | NA |
| >60 hours | 6 (13.3) | 39 (86.7) | 7.34 (1) | 0.006 |
| <40 hours | 2 (50.0) | 2 (50.0) | 0.51 (1) | 0.477 |
| Interest in transitioning to another position in the future | ||||
| No | 68 (44.4) | 84 (55.6) | 20.37 (1) | <0.0001 |
| Yes | 58 (23.2) | 192 (76.8) | ||
| Timeframe for interest in transitioning to a new position | ||||
| NA | 68 (44.4) | 84 (55.6) | NA | NA |
| Next year | 14 (16.1) | 73 (83.9) | 20.14 (1) | <0.0001 |
| Next 3 years | 26 (24.1) | 82 (75.9) | 11.68 (1) | 0.0006 |
| Next 5 years | 8 (21.6) | 29 (78.4) | 6.61 (1) | 0.010 |
| Next 10 years | 10 (55.6) | 8 (44.4) | 0.76 (1) | 0.38 |
| Type of position interested in pursuing in the future | ||||
| NA | 61 (44.9) | 75 (55.1) | NA | NA |
| Nonsupervisory position | 14 (12.2) | 101 (87.8) | 31.76 (1) | <0.0001 |
| Supervisory position | 52 (34.9) | 97 (65.1) | 2.94 (1) | 0.086 |
| Setting of position interested in pursuing in the future | ||||
| Outside VHA | 17 (20.5) | 66 (79.5) | 4.20 (1) | 0.040 |
| Within VHA | 101 (32.9) | 206 (67.1) |
Abbreviations: MBI-DP, Maslach Burnout Inventory for depersonalization; MBI-EE, Maslach Burnout Inventory for emotional exhaustion; NA, not applicable; VHA, Veterans Health Administration.
aData shown as No. (%).
bFor the single-item measures, burnout was defined as a score of ≥4 (ie, a frequency of once a week or more).
cSignificance was defined as P ≤ 0.05 unless otherwise noted.
dRelative to the control group.
eBonferroni-corrected α ≤ 0.0125.
fBonferroni-corrected α ≤ 0.025.
Figure 2.Level of agreement of Veterans Health Administration leadership survey respondents with statements related to career sustainability.
Figure 3.The top 3 factors affecting work stress reported by Veterans Health Administration leadership survey respondents. OIG indicates Office of Inspector General; VISN, Veterans Integrated Service Network.
Impact of the COVID-19 Pandemic on Work and Life
| Variable | No burnout on MBI-EE or MBI-DP | Burnout on MBI-EE or MBI-DP |
|
|
|---|---|---|---|---|
| Impact on workload | ||||
| None | 25 (58.1) | 18 (41.9) | NA | NA |
| Increase | 101 (27.9) | 261 (72.1) | 16.40 (1) | <0.001 |
| Decrease | 0 | 1 (100.0) | NA | NA |
| Impact on time worked per week | NA | NA | ||
| Increased: 0-5 hours | 39 (38.2) | 63 (61.8) | ||
| Increased: 5-15 hours | 46 (25.3) | 136 (74.7) | ||
| Increased: 15-40 hours | 14 (20.0) | 56 (80.0) | ||
| Increased: 40+ hours | 2 (28.6) | 5 (71.4) | ||
| Decreased: 0-5 hours | 0 | 1 (100.0) |
Abbreviations: COVID-19, coronavirus disease 2019; MBI-DP, Maslach Burnout Inventory for depersonalization; MBI-EE, Maslach Burnout Inventory for emotional exhaustion; NA, not applicable.
aData shown as No. (%).
bFor the single-item measures, burnout was defined as a score of ≥4 (ie, a frequency of once a week or more).
cSignificance was set at P ≤ 0.05.
dRelative to the control group.
eNot performed because of the small sample size.
fNot performed because it was addressed in earlier analysis.
Figure 4.Level of agreement of Veterans Health Administration leadership survey respondents with statements related to the impact of coronavirus disease 2019 (COVID-19) on leadership practices. Totals may not equal 100% due to rounding.
Figure 5.Changes made to the workplace as a response to the coronavirus disease 2019 (COVID-19) pandemic reported by Veterans Health Administration leadership survey respondents.