| Literature DB >> 35712741 |
Sinu Jose1, Maneesha C Cyriac2, Manju Dhandapani3, Aseem Mehra4, Navneet Sharma5.
Abstract
Background: The coronavirus disease-2019 (COVID-19) pandemic has led to a significant disruption in healthcare delivery and poses a unique long-term stressor among frontline nurses. Hence, the investigators planned to explore the adverse mental health outcomes and the resilience of frontline nurses caring for COVID-19 patients admitted in intensive care units (ICUs). Materials and methods: A cross-sectional online survey using Google form consisted of questionnaires on perceived stress scale (PSS-10), generalized anxiety disorder scale (GAD-7), Fear Scale for Healthcare Professionals regarding the COVID-19 pandemic, insomnia severity index, and the Connor-Davidson Resilience Scale-10 (CD-RISC) were administered among the nurses working in COVID ICUs of a tertiary care center in North India.Entities:
Keywords: Anxiety; Coronavirus disease warriors; Coronavirus disease-2019; Fear; Frontline nurses; Insomnia severity; Mental health outcomes; Resilience; Stress
Year: 2022 PMID: 35712741 PMCID: PMC8857709 DOI: 10.5005/jp-journals-10071-24119
Source DB: PubMed Journal: Indian J Crit Care Med ISSN: 0972-5229
Sociodemographic characteristics of frontline nurses caring COVID-19 patients in intensive care units of COVID hospital (n = 137)
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| 20–30 | 67 (48.90%) |
| 31–40 | 70 (51.10%) |
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| Female | 73 (53.3%) |
| Male | 64 (46.7%) |
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| Currently single | 44 (32.10%) |
| Married | 93 (67.9%) |
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| Diploma in nursing | 17 (12.4%) |
| Basic/postbasic in nursing | 117 (85.4%) |
| Postgraduation in nursing | 3 (2.2%) |
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| Yes | 76 (55.5%) |
| No | 61 (44.5%) |
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| Alone | 25 (18.2%) |
| 2–4 | 92 (67.2%) |
| >5 | 20 (14.6%) |
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| 1–5 | 32 (23.40%) |
| 6–10 | 71 (51.80%) |
| >11 | 34 (24.80%) |
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| Safe | 101 (73.7%) |
| Unsafe | 36 (26.3%) |
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| Confident | 125 (91.20%) |
| Unconfident | 12 (8.8%) |
Mental health outcomes of frontline nurses caring COVID-19 patients in intensive care units (n = 137)
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| No anxiety (0–5) | 62 (45.3%) |
| Mild anxiety (6–10) | 61 (44.5%) |
| Moderate anxiety (11–15) | 13 (9.5%) |
| Severe anxiety (16–21) | 1 (0.7%) |
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| Mild distress (0–13) | 43 (31.4%) |
| Moderate distress (14–26) | 90 (65.7%) |
| Severe distress (27–40) | 4 (2.9%) |
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| No fear (0–5) | 10 (7.3%) |
| Mild fear (6–16) | 67 (48.9%) |
| Moderate fear (17–27) | 54 (39.4%) |
| 67 (48.9%) | 6 (4.4%) |
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| No clinically significant insomnia (0–7) | 95 (69.3%) |
| Sub threshold insomnia (8–14) | 38 (27.7%) |
| Clinical insomnia: moderate severity (15–21) | 4 (2.9%) |
Fig. 1Level of resilience among frontline nurses caring for critical COVID-19 patients
Differences in mental health impacts among various sociodemographic characteristics of frontline nurses caring COVID 19 patients in intensive care units (n = 137)
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| Male | 16.43 ± 6.55 | 1.781[ | 6.42 ± 2.75 | 0.240 | 11.70 ± 4.82 | 0.125 | 7.09 ± 3.88 | -1.378 | 30.98 ± 5.06 | 0582 |
| Female | 18.12 ± 4.44 | (0.05) | 6.54 ± 3.19 | (0.811) | 11.79 ± 3.75 | (0.901) | 6.28 ± 2.94 | (0.170) | 31.45 ± 4.33 | (0.561) |
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| 20–30 years | 18.04 ± 5.18 | 1.463 | 6.70 ± 2.93 | 0.85 | 11.61 ± 4.17 | 0.125 | 6.08 ± 3.18 | 1.940[ | 30.83 ± 4.94 | 0.973 |
| 31–40 years | 16.65 ± 5.87 | (0.146) | 6.27 ± 2.98 | (0.397) | 11.88 ± 4.38 | (0.901) | 7.21 ± 3.58 | (0.05) | 31.61 ± 4.41 | (0.332) |
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| Married | 17.13 ± 4.88 | 0.2s81 | 6.62 ± 2.71 | 0.419 | 11.20 ± 4.73 | 0.987 | 6.16 ± 3.35 | 1.169 | 30.98 ± 4.67 | 0.871 |
| Other marital status | 17.43 ± 5.91 | (0.779) | 6.39 ± 3.08 | (0.676) | 11.98 ± 4.06 | (0.325) | 6.90 ± 3.46 | (0.244) | 31.74 ± 4.74 | (0.385) |
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| Yes | 17.35 ± 5.48 | 0.046 | 6.48 ± 3.00 | 0.22 | 12.21 ± 4.25 | 1.409 | 7.02 ± 3.50 | 1.385 | 31.47 ± 4.16 | 0.669 |
| No | 17.31 ± 5.72 | (0.964) | 6.47 ± 2.92 | (0.982) | 11.18 ± 4.24 | (0.161) | 6.21 ± 3.30 | (0.168) | 30.93 ± 5.26 | (0.505) |
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| Diploma in nursing | 17.27 ± 5.38 | 0.496 | 5.47 ± 2.12 | 1.508 | 11.83 ± 4.17 | 0.223 | 6.8 ± 3.50 | 1.368 | 31.41 ± 4.81 | 1.152 |
| Bachelor in nursing or higher | 18 ± 7.23 | (0.621) | 6.63 ± 3.06 | (0.134) | 11.58 ± 5.17 | (0.824) | 5.58 ± 2.93 | (0.174) | 30 ± 3.93 | (0.251) |
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| <5 years | 21.8 ± 1.30 | 2.242 | 5.96 ± 2.55 | 1.440 | 11.81 ± 3.56 | 0.489 | 8.60 ± 4.56 | 1.557 | 26 ± 0.707 | 3.535[ |
| >6 years | 16.55 ± 5.05 | (0.045) | 6.85 ± 3.10 | (0.152) | 13.11 ± 5.32 | (0.634) | 5.55 ± 2.83 | (0.145) | 33.33 ± 4.52 | (0.004) |
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| Confident | 17 ± 5.6 | 2.255[ | 6.45 ± 2.98 | 0.327 | 11.60 ± 4.35 | 1.276 | 6.48 ± 3.41 | 2.055[ | 31.45 ± 4.35 | 1.811 [ |
| Unconfident | 20.75 ± 4 | (0.026) | 6.75 ± 2.76 | (0.744) | 13.25 ± 3.10 | (0.204) | 8.58 ± 3.08 | (0.042) | 28.91 ± 3.98 | (0.05) |
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| Safe | 16.98 ± 5.88 | 1.254 | 6.604 ± 2.99 | 0.808 | 11.52 ± 4.46 | 1.043 | 6.32 ± 3.43 | 2.010[ | 31.51 ± 4.55 | 0.240 |
| Unsafe | 18.33 ± 4.49 | (0.212) | 6.138 ± 2.88 | (0.420) | 12.38 ± 3.65 | (0.299) | 7.63 ± 3.27 | (0.046) | 30.44 ± 4.98 | |
Significant at 0.05;
Significant at 0.0
Relation among the mental health outcomes of frontline nurses caring COVID-19 patients in North India (n = 137)
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| Resilience | — | −0.453[ | −0.414[ | −0.230[ | −0.100 |
| Stress | — | 0.656[ | 0.314[ | 0.063[ | |
| Anxiety | — | 0.200[ | 0.109 | ||
| Fear | — | 0.135[ |
Significant at 0.05,
Significant at 0.01