| Literature DB >> 35561589 |
Jill L Guttormson1, Kelly Calkins2, Natalie McAndrew3, Jacklynn Fitzgerald4, Holly Losurdo5, Danielle Loonsfoot6.
Abstract
BACKGROUND: The COVID-19 pandemic has and will continue to have a tremendous influence on intensive care unit (ICU) nurses' mental health.Entities:
Keywords: Burnout; COVID-19; Critical Care; Mental Health; Moral Distress; Nurses
Mesh:
Year: 2022 PMID: 35561589 PMCID: PMC9050623 DOI: 10.1016/j.hrtlng.2022.04.015
Source DB: PubMed Journal: Heart Lung ISSN: 0147-9563 Impact factor: 3.149
Workplace and Respondent Characteristics (N=488)
| Characteristic | n (%) or Median | |
|---|---|---|
| Region of United States [n (%)] (n = 485) | ||
| Midwest | 255 (52.6) | |
| Northeast | 78 (16.0) | |
| Southeast | 67 (13.8) | |
| West | 48 (9.9) | |
| Southwest | 31 (6.4) | |
| Other (e.g. Mid-Atlantic, South Central) | 4 (0.8) | |
| Multiple Regions as Travel Nurse | 2 (0.4) | |
| Nursing Position [n (%)] (n = 488) | ||
| Staff Nurse | 457 (93.6) | |
| Nurse Manager/Supervisor | 13 (2.7) | |
| Nurse Practitioner | 7 (1.4) | |
| Other (e.g. care coordinator, faculty, educator, CNS) | 11 (2.2) | |
| Type of Hospital [n (%)] (n =484) | ||
| Community Hospital | 242 (50.0) | |
| University medical center | 163 (33.7) | |
| Non-Academic Teaching | 29 (6.0) | |
| Veterans Affairs (VA) or Military | 16 (3.3) | |
| County | 17 (3.5) | |
| Other (e.g. type unclear, travel nurse at multiple sites) | 17 (3.5) | |
| Age years [n (%)] (n = 488) | ||
| 20-30 | 192 (39.3) | |
| 31-40 | 140 (28.7) | |
| 41-50 | 67 (13.7) | |
| 51-60 | 65 (13.3) | |
| >60 | 24 (4.9) | |
| Gender [n (%)] (n =488) | ||
| Female | 430 (88.1) | |
| Male | 56 (11.5) | |
| Nonbinary | 1 (0.2) | |
| Prefer not to respond | 1 (0.2) | |
| Highest Nursing Degree [n(%)] (n =487) | ||
| Bachelors | 353 (72.5) | |
| Associate | 81 (16.6) | |
| Masters | 38 (7.8) | |
| Diploma | 11 (2.3) | |
| PhD or DNP | 4 (0.8) | |
| Years of ICU Experience [Median (Range)] (n =457) | 5 (0-44) | |
| CCRN certification [n(%)] (n =486) | 169(34.6) | |
CNS (clinical nurse specialist); CCRN (critical care nurse certification); PhD (Doctor of Philosophy); DNP (Doctor of Nursing Practice)
COVID-19 Workplace Characteristics (N=488)
| Workplace Characteristic | n (%) | |
|---|---|---|
| Worked on COVID-19 Designated Unit (n= 481) | 416 (86.5) | |
| Number of Patients Assigned during pandemic (n= 457) | ||
| One to two | 268 (58.6) | |
| Three to four | 179 (39.2) | |
| 5 or more | 10 (2.2) | |
| Shortage of Equipment/Supplies | ||
| Experienced shortages of PPE (n=465) | 331 (71.2) | |
| Experienced shortage of ventilators (n=463) | 86 (18.6) | |
| Changed Units during COVID-19 (n=402) | 117 (29.1) | |
| Patient family allowed to visit (n=463) | ||
| Yes | 14 (3.0) | |
| No | 244 (52.7) | |
| Under some circumstances (e.g. end of life) | 205 (44.3) | |
| Supported by Hospital Administration During pandemic (n=464) | ||
| Yes, fully supported | 86 (18.5) | |
| Yes, partially supported | 204 (44.0) | |
| No | 174 (37.5) | |
PPE: personal protective equipment.
Figure 1Moral Distress scores on MMD-HP (n=481)
MMD-HP: Measure of Moral Distress in Healthcare Professionals. Possible MMD-HP scores range from 0 to 432
PTSD Risk, Anxiety, and Depression (N=488)
| n (%) | ||
|---|---|---|
| At Risk for PTSD (n = 360) | 168 (46.7) | |
| Felt life in danger/might die due to caring for COVID-19 patients (n =363) | 202 (55.6) | |
| Depression (n = 357) | ||
| Minimal Depression | 97(27.2) | |
| Mild Depression | 101 (28.3) | |
| Moderate Depression | 86 (24.1) | |
| Moderately Severe Depression | 47 (13.2) | |
| Severe Depression | 26 (7.3) | |
| Anxiety (n =354) | ||
| Minimal Anxiety | 126 (35.6) | |
| Mild Anxiety | 118 (33.3) | |
| Moderate Anxiety | 64 (18.1) | |
| Severe Anxiety | 46 (13.0 | |
PTSD: post-traumatic stress disorder.
Differences by Respondent Characteristics
| Burnout [median (range)] | Statistic | |||
|---|---|---|---|---|
| Age (years) | 10.136 | .038 | ||
| 20-30 | 51.0 (25.1-73.6) | |||
| 31-40 | 51.0 (21.8-72.0) | |||
| 41-50 | 47.7 (21.8-65.5) | |||
| 51-60 | 47.7 (18.6-67.2) | |||
| ICU Experience (years) | 10.687 | .014 | ||
| 0-5 | 52.6 (21.8-73.6) | |||
| 6-10 | 51.0 (29.9-67.2) | |||
| 11-30 | 47.7 (21.9-65.5) | |||
| >20 | 46.1 (18.6-67.2) | |||
| Gender | 9.133 | .028 | ||
| Male | 47.7 (21.9-70.4) | |||
| Female | 51.0 (18.6-73.6) | |||
| TSQ [median (range)] | 8.738 | .033 | ||
| Male | 3 (0-10) | |||
| Female | 5 (0-10) | |||
| Anxiety [median (range)] | 8.484 | .037 | ||
| Male | 4 (0-21) | |||
| Female | 7 (0-21) | |||
Kruskal-Wallis H
higher burnout for 20-30 age group than 51-60 (p=.023) and 41-50 (p=.031);
Higher burnout for ICU experience 0-5 years versus >20 years (p=.019)
No differences seen in pairwise comparisons between male and female reported gender with respondents that preferred to self-describe or preferred to not report gender. TSQ: Trauma Screening Questionnaire.
Differences by Workplace Characteristics
| Burnout [median (range)] | Statistic | |||
|---|---|---|---|---|
| Shortage of PPE | 15009 | <.001 | ||
| Yes | 52.6 (18.6-73.6) | |||
| No | 47.7 (21.9-68.8) | |||
| Support of Administration | 81.15 | <.001 | ||
| Yes | 42.9 (18.6-65.5) | |||
| Partial | 49.4 (21.9-72.0) | |||
| No | 55 (31.6-73.6) | |||
| Moral Distress [median (range)] | Statistic | p | ||
| Shortage of Ventilators | 13123 | .018 | ||
| Yes | 139.5 (0-400) | |||
| No | 106.5 (0-397) | |||
| Shortage of PPE | 15206 | <.001 | ||
| Yes | 126 (0-400) | |||
| No | 83.5 (0-255) | |||
| Support of Administration | 46.68 | <.001 | ||
| Yes | 61 (0-240) | |||
| Partial | 104 (0-327) | |||
| No | 166 (0–400) | |||
| TSQ [median (range)] | Statistic | p | ||
| Shortage of PPE | 10418 | .020 | ||
| Yes | 6 (0-10) | |||
| No | 4 (0-10) | |||
| Support of Administration | 34.52 | <.001 | ||
| Yes | 3 (0-10) | |||
| Partial | 5 (0-10) | |||
| No | 6 (0-10) | |||
| Depression [median (range)] | Statistic | p | ||
| Shortage of PPE | 9921 | .010 | ||
| Yes | 9 (0-27) | |||
| No | 7 (0-23) | |||
| Support of Administration | 31.01 | <.001 | ||
| Yes | 5 (0-24) | |||
| Partial | 8 (0-27) | |||
| No | 11 (0-27) | |||
| Anxiety [median (range)] | Statistic | p | ||
| Shortage of PPE | 9445 | .004 | ||
| Yes | 7 (0-21) | |||
| No | 5 (0-21) | |||
| Support of Administration | 28.17 | <.001 | ||
| Yes | 4 (0-21) | |||
| Partial | 6 (0-20) | |||
| No | 8 (0-21) | |||
Kruskal Wallis (H) for greater than two categories or Mann-Whitney (U) for two category comparisons
Pairwise comparisons: significant differences between ‘yes, fully supported’ and ‘partially supported’ and ‘not supported’ respectively and significant differences between ‘partially supported’ and not supported’
Pairwise comparisons: significant differences between ‘not supported’ and ‘partially’ or ‘yes, fully supported’. TSQ: Trauma Screening Questionnaire.
Correlations Moral Distress, Burnout, and Psychologic Measures (Spearman's rho)
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| 1. Moral Distress | — | |||
| 2. Burnout | .45 | — | ||
| 3. PTSD Risk | .431 | .551 | — | |
| 4. Anxiety | .451 | .631 | .681 | — |
| 5. Depression | .431 | .661 | .681 | .801 |
p<.001