| Literature DB >> 35873922 |
Aarushi H Shah1, Iris A Becene2, Katie Truc Nhat H Nguyen3, Jennifer J Stuart2,4, Madeline G West5, Jane E S Berrill2,6, Jennifer Hankins6, Christina P C Borba7, Janet W Rich-Edwards2,4.
Abstract
There is a dearth of qualitative studies exploring the lived experiences of frontline healthcare personnel (HCP) during the coronavirus disease (COVID-19) pandemic. We examined workplace stressors, psychological manifestations of said stressors, and coping strategies reported through coded open-text responses from 1024 online surveys completed over two months by 923 HCP participating in three nationwide cohorts from Spring 2020. Our findings suggest that risk, job insecurity, frustration with hospital administration, inadequate access to personal protective equipment, and witnessing patient suffering and death contributed to deteriorating mental and physical health. Negative health impacts included the onset or exacerbation of anxiety, depression, and somatic symptoms, including weight fluctuation, fatigue, and migraines. Coping mechanisms included substance use and food consumption, meditation and wellness, fitness, socializing with loved ones, and religious activities. Insights garnered from participants' responses will enable more personalized and effective psychosocial crisis prevention and intervention for frontline HCP in future health crises.Entities:
Keywords: Burnout; COVID-19; Coping; Health care professional; Mental health and illness; Occupational stress
Year: 2022 PMID: 35873922 PMCID: PMC9293380 DOI: 10.1016/j.ssmqr.2022.100130
Source DB: PubMed Journal: SSM Qual Res Health ISSN: 2667-3215
Age-adjusteda characteristics of 923 participants of Nurses' Health Study II, Nurses' Health Study 3 and the Growing Up Today Study, whose text comments were analyzed from 1024 baseline and month 1 COVID-19 surveys.
| Coded HCP at baseline and month 1 (n = 923) | |
|---|---|
| Age, n (%) | |
| <26 years | 11 (1.2) |
| 26–35 years | 455 (49.3) |
| 36–45 years | 263 (28.5) |
| 46–55 years | 145 (15.7) |
| 56–65 years | 49 (5.3) |
| First comment is from which questionnaire, n (%) | |
| Baseline | 705 (76.4) |
| Month 1 | 218 (23.6) |
| Cohort, n (%) | |
| GUTS | 495 (53.6) |
| NHS2 | 55 (6.0) |
| NHS3 | 373 (40.4) |
| Sex, race, and ethnicity, n (%) | |
| Women | 836 (90.6) |
| Caucasian | 884 (95.8) |
| Hispanic | 4 (0.4) |
| Black | 9 (1.0) |
| Asian | 14(1.5) |
| Others | 12 (1.3) |
| Clinical site of frontline healthcare personnel (HCP), n (%) | |
| Inpatient | 513 (55.6) |
| Outpatient/clinic | 232 (25.1) |
| Nursing home, group care, or home health | 81 (8.8) |
| Other healthcare facility | 97 (10.5) |
| Current or most recent occupation | |
| LPN or ADN | 3 (0.3) |
| BSN or RN | 278 (30.1) |
| NP or CNM | 79 (8.6) |
| Nurse, unknown type | 131 (14.2) |
| MD, DDM, PA, or other clinician | 110 (11.9) |
| MA, EMT, EMR, paramedic, or other HCW | 322 (34.9) |
| Residential county COVID-19 mortality/10,000, n (%) | |
| 0 | 161 (17.4) |
| >0–<0.25 | 328 (35.5) |
| 0.25–<0.75 | 230 (24.9) |
| 0.75–7.9 | 189 (20.5) |
| Missing | 15 (1.6) |
| Census region, n (%) | |
| Northeast | 237 (25.7) |
| Midwest | 277 (30.0) |
| South | 195 (21.1) |
| West | 209 (22.6) |
| Missing | 5 (0.5) |
| Interaction of frontline HCP with patients with COVID-19 infection, n (%) | |
| Patients with documented infection | 1112 (12.1) |
| Patients with presumed infection | 226 (24.5) |
| Not that I know of | 508 (55.0) |
| Don't work directly with patients | 70 (7.6) |
| Missing | 7 (0.8) |
| Adequacy of Personal Protective Equipment | |
| Adequate PPE | 634 (68.7) |
| Inadequate PPE | 187 (20.3) |
| Not applicable | 65 (7.0) |
| Missing | 37 (3.0) |
Percentages are standardized to the age distribution of the study population.
Value is not age-adjusted.
Acronyms: LPN (Licensed Practical Nurse), ADN (Associate Degree in Nursing), BSN (Bachelor of Science in Nursing), RN (Registered Nurse), NP (Nurse Practitioner), CNM (Certified Nurse-Midwife), MD (Doctor of Medicine), DDM (Doctor of Dental Medicine), PA (Physician Assistant), MA (Medical Assistant), EMT (Emergency Medical Technician), EMR (Emergency Medical Responder), HCW (Healthcare Worker).
County- and date-specific COVID-19 mortality data from the COVID-19 Data Repository by the Center for Systems Science and Engineering at Johns Hopkins University were used to derive a measure of local COVID-19 burden (Rich-Edwards et al., 2021).
Data on access to and use of specific PPE items (gloves, gowns, surgical masks, respirators, PAPRs) was combined to derive a summary variable representing PPE adequacy: ‘Adequate PPE if no PPE item was lacking and ‘Inadequate PPE’ if any item was used inconsistently because it was lacking or if any item was never used because it was lacking.