| Literature DB >> 34190946 |
Edwing Alberto Urrea Vega1, Liliana Antoniolli1, Andréia Barcellos Teixeira Macedo1, Jéssica Morgana Gediel Pinheiro1, Thayane Martins Dornelles2, Sônia Beatriz Cócaro de Souza3.
Abstract
OBJECTIVE: to analyze evidence concerning the risks of occupational illnesses to which health workers providing care to patients infected with COVID-19 are exposed.Entities:
Mesh:
Year: 2021 PMID: 34190946 PMCID: PMC8253346 DOI: 10.1590/1518-8345.4895.3455
Source DB: PubMed Journal: Rev Lat Am Enfermagem ISSN: 0104-1169
Descriptors used in the IR according to the PICO* strategy and boolean operators. Porto Alegre, RS, Brazil, 2020
| PICO | Search terms | Controlled descriptors |
|---|---|---|
| P- | (Health Care Provider) OR (Health Care Providers) OR
(Healthcare Provider) OR (Healthcare Providers) OR (Healthcare
Worker) OR (Healthcare Workers) OR (Personnel, Health) OR (Provider,
Health Care) OR (Provider, Healthcare) OR (Providers, Health Care)
OR (Providers, Healthcare) OR (Health AND Worker) OR (Personnel AND
Health) OR (Health Care AND Provider) OR (Healthcare AND
Worker) | Healthcare workers |
| I- Intervention/area of interest | (COVID-19) OR (2019 novel coronavirus Pneumonia) OR (2019-novel coronavirus Pneumonia) OR (2019 novel coronavirus Epidemic) OR (2019 novel coronavirus Outbreak) OR (2019 novel coronavirus Pandemic) OR (2019-nCoV Acute Respiratory Disease) OR (2019-nCoV Epidemic) OR (2019-nCoV Outbreak) OR (2019-nCoV Pandemic) OR (2019-nCoV Pneumonia) OR (2019-novel coronavirus (2019-nCoV) Infection) OR (2019new coronavirus Epidemic) OR (201920 China Pneumonia Outbreak) OR (201920 Wuhan coronavirus Outbreak) OR (COVID-19) OR (Coronavirus Infection) OR (Infection, Coronavirus) OR (Infections, Coronavirus) OR (MERS (Middle East Respiratory Syndrome)) OR (Middle East Respiratory Syndrome) OR (Novel Coronavirus Pneumonia) OR (Wuhan Seafood Market Pneumonia) OR (Wuhan coronavirus Epidemic) OR (Wuhan coronavirus Infection) OR (Wuhan coronavirus Outbreak) OR (Wuhan coronavirus Pandemic) OR (Wuhan coronavirus Pneumonia) | Coronavirus infections |
| C- Comparison | Does not apply | Does not apply |
| O- Outcome | (Exposure, Occupational) OR (Exposures, Occupational) OR (Occupational Exposures) | Occupational exposure |
PICO = P- population; I- Intervention/area of interest; C- comparison; O- outcome
Figure 2Flowchart of primary studies based on PRISMA*. Porto Alegre, RS, Brasil, 2020
*PRISMA = Preferred Reporting Items for Systematic Review and Meta-Analyses
Characterization of the primary studies included in the integrative review according to the primary author, periodical, database, year of publication, design, sample, country of origin, objective, main results, and level of evidence. Porto Alegre, RS, Brazil, 2020
| Category 1. Risk of contamination and occupational exposure among health workers providing care to patients infected with COVID-19¶. | ||||
|---|---|---|---|---|
| Primary author / Journal / Database / Year | Design / Sample / Country | Objective | Result | LE[ |
| Ran L, et al./ | Retrospective cohort study /72 physicians and nurses / China | To determine the risk factors and behaviors associated
with COVID-19[ | The group of high-risk workers was 2.13 times more
likely of developing COVID-19[ | 2B |
| Liu M, et al./ | Retrospective case series - 30 participants (22 physicians and 8 nurses)/China | To investigate the clinical characteristics of the
medical team with the novel coronavirus pneumonia (NCP)[ | The average time of contact was 12 hours (7.16), and
the average accumulated time of contact was 2 hours
(1.5,2.7). | 4[ |
| Korth J, et al./ | Prospective cross-sectional study/ 316 health workers /Germany | To determine the seroprevalence of SARS-CoV-2[ | SARS-CoV-2[ | 2C[ |
| Delgado D, et al./ | Cross-sectional study/ 936 health workers/ Latin American (Spanish speaking countries). | To assess the context and personal safety perceptions of health workers from Latin America countries during the COVID-19¶ outbreak. | Most participants (699; 74.7%) accessed the COVID-19¶ diagnosis and treatment algorithms, while 237 (25,3%) did not. | 2C[ |
| Ong JJY, et al./ | Cross-sectional study/ 158 health workers/ Singapore | To determine risk factors associated with headaches
associated with new PPE[ | The participants with a diagnosis of preexisting
primary headache (OR[ | 2C[ |
|
| ||||
| Li Z, et al./ | Descriptive cross-sectional study/ 740 individuals (214 public in general and 526 nurses)/China | To identify and provide an intervention for vicarious trauma in its initial stage. | The scores obtained by nurses working in the front line
concerning vicarious trauma, including scores concerning
physiological and psychological outcomes, were significantly lower
than that obtained by nurses not working in the front line ([ | 2C[ |
| Lai J, et al./ | Cross-sectional cohort study /1,257 health workers (493 physicians and 764 nurses)/China | To assess the magnitude of mental health outcomes and
associated factors among health workers providing care to patients
infected with COVID-19[ | A considerable portion of participants presented symptoms of depression (634 [50.4%]), anxiety (560 [44.6%]), insomnia (427 [34.0%]), and anguish (899 [71.5%]). | 2C[ |
| Kang L, et al./ | Cross-sectional cohort study /994 health workers (183 physicians and 811 nurses)/China | To verify the mental health condition of the medical and nursing staff in Wuhan, the efficacy of psychological care, and psychological care needs. | 36% of the workers presented mental disorders below the average threshold; 34.4% presented mild disorders; 22.4% presented moderate disorders; and 6.2% presented severe disorders. No significant differences were found regarding demographic data. | 2C[ |
| Huang JZ, et al./ | Cross-sectional cohort study/230 health workers (70 physicians and 160 nurses)/China | To investigate the medical staff's mental health
working in the front line against the COVID-19[ | The incidence of anxiety among the nurses was higher
than among the physicians [26.88% | 2C[ |
| Primary author / Journal / Database / Year | Design / Sample / Country | Objective | Result | LE[ |
| Xiao H, et al./Medical Science Monitor: International
Medical Journal of Experimental and Clinical Research/
MEDLINE-Pubmed†/ (2020)(
| Cross-sectional observational study/180 participants (nurses and physicians)/China | Structural equation modeling was used to determine the
effect of social support on sleep quality and function among the
health workers who provided care to patients with COVID-19[ | The results show that the social support provided to the medical team negatively affected (decreased) their anxiety and stress levels and positively affected their self-efficacy, though it did not directly improve sleep quality. The team's anxiety levels significantly affected stress levels and significantly decreased their self-efficacy and sleep quality. | 2C[ |
| Xiao X, et al./Journal of Affective
Disorders/SCOPUS‡/(2020)(
| Multicenter cross-sectional study/958 participants/China | To assess stress levels and psychological morbidities
such as anxiety and depression among health workers during the COVID-19[ | The results showed that different positions (junior,
intermediate and senior) ([ | 2C[ |
| Wu Y, et al./Journal of Pain and Symptom
Management/EMBASE*/(2020)(
| Cross-sectional study/220 participants/China | To compare the frequency of burnout between physicians and nurses working in the front line and those working in standard wards. | The frequency of burnout is significantly lower among
front line workers than those working in standard wards (13% vs.
39%; [ | 2C[ |
| Samaniego A, et al./Revista Interamericana de
Psicología/SCOPUS‡/ (2020)(
| Cross-sectional study /126 health professionals /Paraguay | To determine the prevalence of depression, anxiety, insomnia, anguish, and compassion fatigue and factors associated with symptoms to establish preventive strategies or evidence-based interventions. | Compassion fatigue was significantly higher among
nursing workers ([ | 2C[ |
| Cai H, et al./Medical Science Monitor: International
Medical Journal of Experimental and Clinical
Research/SCOPUS‡/(2020)(
| Observational cross-sectional study/534 participants/China. | To investigate the impact of coping strategies adopted
by the medical staff working in the front line in the province of
Hunan, adjacent to the Hubei province, during the COVID-19[ | The nursing staff experienced more significant
nervousness and anxiety than the other groups ([ | 2C[ |
| Bostan S, et al./Electronic Journal of General
Medicine/SCOPUS‡/(2020)(
| Cross-sectional study /736 health workers /Turkey | To show how health workers assessed working conditions
in the Turkish population and the fight against COVID-19[ | Assessment of the participants' working conditions
(3.17±0.827) shows that their participation in social conditions
(3.24±0.739) was moderate, though anxiety levels were high
(4.36±0.841). A low and negative relationship was found between
working conditions and anxiety levels ([ | 2C[ |
| Liu CY, et al./Epidemiology & Infection/
WoS||/(2020)(
| Descriptive cross-sectional study/512 workers/China | To verify the anxiety levels of health workers in the
front line and identify the risk factors for anxiety in China during
the COVID-19[ | The average score for anxiety was significantly higher
in the medical team directly treating confirmed cases than among
those who did not (41.11±9.79 vs. 38.83±8.38, [ | 2C[ |
| Zhu J, et al./Frontiers in
Psychiatry/SCOPUS‡/(2020)(
| Descriptive cross-sectional study /165 workers/China | To investigate the prevalence and factors influencing anxiety and depression symptoms in the medical staff in the front line in the fight against the novel coronavirus pneumonia in Gansu. | The prevalence of anxiety and depression symptoms among the physicians was 11.4% and 45.6%, respectively, and 27.9% and 43.0% among nurses, respectively. | 2C[ |
| Shacham M, et al./International Journal of
Environmental Research and Public Health/ SCOPUS‡/
(2020)(
| Cross-sectional study /338 dentists and dental hygienists /Israel. | To assess the association of COVID-19[ | A high risk of psychological distress was found in
11.5% of the sample ([ | 2C[ |
| Mo Y, et al./ Journal of Nursing
Management/SCOPUS‡/(2020)(
| Cross-sectional study/180 nurses/China. | To identify the stress levels faced by Chinese nurses
supporting the fight against the COVID-19[ | The total score for stress load (SAS[ | 2C[ |
EMBASE = Excerpta Medica Data-base;
MEDLINE-PubMed = Medical Literature Analysis and Retrieva
l System Online - National Center for Biotechnology Information;
SCOPUS = Elsevier's database;
CINAHL = Cumulative Index to Nursing and Allied Health Literature;
|| WoS = Web of Science;
COVID-1 9 = Coronavirus Disease 2019;
NCP = Novel Coronavirus Pneumonia;
SARS-CoV-2 = Severe Acute Respiratory syndrome Coronavirus 2;
PPE = Personal Protective Equipment;
RR = Relative Risk;
CI = Confidence Interval;
p = p value;
IgG = Immunoglobulin G
OR = Odds Ratio;
r = r value
n = absolute number;
SAS = Self-Rating Anxiety Scale;
EL = Evidence Level according to the Oxford Centre for Evidence-based Medicine;
Level of Evidence 2B = Cohort Study;
Level of Evidence 4 = Case report;
Level of Evidence 2C = Observation of therapeutic results, ecological studies