| Literature DB >> 35573383 |
Shinichiro Morioka1,2,3, Ban Hock Tan4, Hiroe Kikuchi5, Yusuke Asai3, Tetsuya Suzuki1,2, Shinobu Ashida1, Satoshi Kutsuna1,6, Sho Saito1,2, Kayoko Hayakawa1,3, Thuan Tong Tan4, Eiichi Kodama7, Norio Ohmagari1,3.
Abstract
This study explores the factors contributing to the prolonged psychological distress of frontline nurses and physicians caring for COVID-19 patients in hospitals in Singapore and Japan. A cross-sectional survey between September and December 2020 yielded 1,644 responses (23.8%), from 62 nurses and 64 physicians in Singapore and 1,280 nurses and 238 physicians in Japan. Multivariate logistic regression analysis revealed that significant risk factors for prolonged psychological distress included being a frontline nurse [adjusted odds ratio (aOR) = 2.40, 95% confidence interval (CI): 1.24-4.66], having an underlying medical condition (aOR = 1.74, 95% CI: 1.22-2.46), experiencing prejudice because they undertook COVID-19 patient care (aOR = 3.05, 95% CI: 2.23-4.18), having trouble dealing with panicked or uncooperative patients (aOR = 2.36, 95% CI: 1.71-3.25), and experiencing an outbreak of COVID-19 in the hospital (aOR = 2.05, 95% CI: 1.38-3.04). Factors inversely associated with psychological distress included age (OR = 0.98, 95% CI: 0.97-1.00), number of beds in the hospital (aOR = 0.73, 95% CI: 0.57-0.94), clinical practice of carefully putting on and taking off personal protective equipment in daily COVID-19 patient care (aOR = 0.52, 95% CI: 0.37-0.73), and knowledge on COVID-19 (aOR = 0.82, 95% CI: 0.72-0.94). These results could help us identify vulnerable healthcare providers who need urgent mental care during the COVID-19 pandemic. Measures that may reduce psychological strain include adequate supply of medical resources, education on precautionary measures, and communication strategies to combat discrimination against frontline healthcare providers.Entities:
Keywords: coronavirus disease 2019; cross-sectional survey; healthcare providers; mental health; pandemic; psychological distress; quarantine
Year: 2022 PMID: 35573383 PMCID: PMC9096717 DOI: 10.3389/fpsyt.2022.781796
Source DB: PubMed Journal: Front Psychiatry ISSN: 1664-0640 Impact factor: 4.157
Characteristics of respondents (n = 1,644).
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| Age (median, IQR) | 34, 29–42 | 38, 29–46 |
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| Male | 32 (25.4) | 352 (23.2) |
| Female | 93 (73.8) | 1,152 (76.0) |
| Prefer not to say | 1 (0.8) | 13 (0.9) |
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| Nurse | 62 (49.2) | 1,280 (84.3) |
| Physician | 64 (50.8) | 238 (15.7) |
| Years of clinical experience (years, median, IQR) | 10, 5–16 | 13, 6–23 |
| Living with family | 103 (81.7) | 1,066 (70.2) |
| Living with a child under 16 years old | 33 (26.2) | 486 (32.0) |
| Living with a person aged 65 or older | 42 (33.3) | 292 (19.2) |
| Underlying medical condition | 24 (19.0) | 379 (25.0) |
| Hypertension | 5 (4.0) | 104 (6.9) |
| Diabetes mellitus | 3 (2.4) | 16 (1.5) |
| Bronchial asthma | 3 (2.4) | 117 (7.7) |
| Chronic obstructive pulmonary disease | 0 (0.0) | 0 (0.0) |
| Heart disease | 11 (8.7) | 12 (0.8) |
| Chronic kidney disease | 0 (0.0) | 3 (0.2) |
| Malignancy | 0 (0.0) | 18 (1.2) |
| Obesity | 1 (0.8) | 62 (4.1) |
| Mental illness | 0 (0.0) | 17 (1.1) |
| Others | 13 (10.3) | 122 (8.0) |
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| Emergency room | 26 (20.6) | 209 (13.8) |
| Intensive care unit | 2 (1.6) | 229 (15.1) |
| Isolation ward | 24 (19.0) | 248 (16.3) |
| Internal medicine ward | 33 (26.2) | 497 (32.7) |
| Surgical ward | 10 (7.9) | 111 (7.3) |
| Others | 31 (24.6) | 224 (14.8) |
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| 0–499 beds | 0 (0) | 830 (54.7) |
| 500–999 beds | 0 (0) | 611 (40.3) |
| 1,000–1,499 beds | 0 (0) | 73 (4.8) |
| 1,500 beds or more | 126 (100) | 4 (0.3) |
| Participation in personal protective equipment donning/doffing training before the COVID-19 pandemic | 122 (96.8) | 1,123 (74.0) |
| Total working hours per week when psychological distress was the greatest (hours, median, IQR) | 45, 40–60 | 40, 30–46 |
IQR, inter-quartile range.
Average scores for each statement of Kessler Psychological Distress Scale (K10) when psychological distress was the greatest and in the latest 30 days of the survey.
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| How often did you feel tired out for no good reason? | 3.38 (1.09) | 2.77 (1.18) |
| How often did you feel nervous? | 3.50 (1.08) | 2.54 (1.10) |
| How often did you feel so nervous that nothing could calm you down? | 2.51 (1.20) | 1.93 (1.07) |
| How often did you feel hopeless? | 2.26 (1.21) | 1.77 (1.07) |
| How often did you feel restless or fidgety? | 2.22 (1.11) | 1.80 (0.99) |
| How often did you feel so restless that you could not sit still? | 1.75 (1.03) | 1.57 (0.92) |
| How often did you feel depressed? | 2.47 (1.16) | 2.03 (1.05) |
| How often did you feel that everything was an effort? | 2.55 (1.16) | 2.13 (1.11) |
| How often did you feel so sad that nothing could cheer you up? | 1.92 (1.09) | 1.71 (0.98) |
| How often did you feel worthless? | 1.89 (1.12) | 1.80 (1.10) |
| Total score | 24.45 (8.85) | 20.06 (8.77) |
Potential determinants of the psychological distress of frontline nurses and physicians who cared for COVID-19 patients in hospitals in Singapore and Japan.
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| I had trouble dealing with panicked patients or patients who did not cooperate with the quarantine. | 584 (35.5) |
| I felt that people were prejudiced against my family and I because I was involved in COVID-19 patient care. | 556 (33.8) |
| My patients died of COVID-19. | 440 (26.8) |
| There was an outbreak of COVID-19 in my hospital. | 217 (13.2) |
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| I practiced hand hygiene. | 4.84 (0.40) |
| I carefully put on and took off my PPE. | 4.82 (0.45) |
| I continued to self-quarantine by being apart from family. | 2.32 (1.65) |
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| Health care providers should use an N95 mask or higher-level respirator when performing aerosol generation procedures such as intubation, wiping patients and changing diapers (false). | 306 (18.6) |
| When aerosol-generating procedures are performed and there is a shortage of N95 masks, N95 masks can be reused by covering them with a face shield or a surgical mask (true). | 1,119 (68.1) |
| Once COVID-19 is completely ruled out, airborne and contact prevention and standard precaution can be terminated (false). | 1,360 (82.7) |
| People with COVID-19 are not infectious before symptom onset, however, they often become infectious on the second to third day after the onset of symptoms (false). | 1,364 (83.0) |
| A negative severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) polymerase chain reaction (PCR) test result can rule out COVID-19 (false). | 1,522 (92.6) |
| SARS-CoV-2 can be detected in respiratory droplets, stools, and sweat in an infected patient (false). | 412 (25.1) |
| Since alcohol is not effective against the new coronavirus, it is important to wash your hands with running water and soap (false). | 1,394 (84.8) |
Average score on a five-point Likert-type scale; 1 point for (i) 0–20%, 2 points for (ii) 21–40%, 3 points for (iii) 41–60%, 4 points for (iv) 61–80%, 5 points for (v) 81–100%.
Multivariate logistic regression analysis of prolonged psychological distress of frontline nurses and physicians.
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| Demographic | Age | 0.98 | 0.97–1.00 | 0.05 |
| characteristics | Being a nurse rather than a physician | 2.40 | 1.24–4.66 | 0.01 |
| Underlying medical condition | 1.74 | 1.22–2.46 | <0.01 | |
| Number of beds in the hospital | 0.73 | 0.57–0.94 | 0.01 | |
| Experiences regarding COVID-19 patient care | I felt that people were prejudiced against my family and I because I was involved in COVID-19 patient care. | 3.05 | 2.23–4.18 | <0.01 |
| I had trouble dealing with panicked patients or patients who did not cooperate with the quarantine. | 2.36 | 1.71–3.25 | <0.01 | |
| There was an outbreak of COVID-19 in the hospital. | 2.05 | 1.38–3.04 | <0.01 | |
| Clinical practice in daily COVID-19 patient care | I carefully put on and took off my PPE. | 0.52 | 0.37–0.73 | <0.01 |
| Knowledge on COVID-19 | Knowledge on COVID-19 | 0.82 | 0.72–0.94 | 0.01 |
CI, confidence interval.
The number of beds is divided into four categories; 0: 0–499 beds (reference), 1: 500–999 beds, 2: 1,000–1,499 beds, 3: 1,500 beds or more.
Multivariate linear regression analysis of Kessler Psychological Distress Scale score when respondents' psychological distress was the greatest.
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| Demographic | Age | −0.07 | 0.02 | −0.08 | −3.61 | <0.01 |
| characteristics | Being female | 1.52 | 0.55 | 0.09 | 2.79 | 0.01 |
| Being a nurse rather than a physician | 3.54 | 0.67 | 0.16 | 5.28 | <0.01 | |
| Underlying medical condition | 1.77 | 0.47 | 0.09 | 3.75 | <0.01 | |
| Main workplace in internal medicine ward | −1.01 | 0.43 | −0.05 | −2.35 | 0.02 | |
| Working in Japan rather than in Singapore | 3.03 | 0.81 | 0.09 | 3.75 | <0.01 | |
| Total working hours per week when psychological distress was the greatest | 1.65 | 0.37 | 0.10 | 4.41 | <0.01 | |
| Experiences regarding COVID-19 patient care | I had trouble dealing with panicked patients or patients who did not cooperate with the quarantine. | 3.50 | 0.42 | 0.19 | 8.34 | <0.01 |
| I felt that people were prejudiced against my family and I because I was involved in COVID-19 patient care. | 4.15 | 0.43 | 0.22 | 9.77 | <0.01 | |
| There was an outbreak of COVID-19 in the hospital. | 2.99 | 0.59 | 0.11 | 5.11 | <0.01 | |
| Knowledge on COVID-19 | Knowledge on COVID-19 | −0.48 | 0.17 | −0.07 | −2.79 | 0.01 |
Figure 1The figure shows that 85 nurses and physicians (67.5%) in Singapore and 788 nurses and physicians (51.9%) in Japan experienced the greatest psychological distress 1 month before and after the 1st peak of the new confirmed cases (periods C and D).