The long-term impact of COVID-19 on nursing: An e-panel discussion from the International Network for Child and Family Centred Care.

AIM: To explore the International Network for Child and Family Centred Care (INCFCC) members' experiences and views on the long-term impact of COVID-19 on the nursing workforce. BACKGROUND: On the 11 March 2020, the World Health Organization declared COVID-19 a global pandemic. While some countries adopted a herd immunity approach, others imposed stricter measures to reduce the transmission of the virus. Hospitals in some countries faced an avalanche of extremely sick admissions, whereas others experienced an early surge in cases or were able to control the spread. DESIGN: Discursive paper. METHODS: A web-based survey was e-mailed to 63 INCFCC members from 28 March to 30 April 2022, as an invitation to share their experience concerning the long-term impact of COVID-19 on their role as a nurse educator, clinician or researcher. RESULTS: Sixteen members responded, and the responses were grouped under the themes stress and anxiety, safe staffing and pay, doing things differently, impact on research, impact on teaching and learning, impact on clinical practice, nursing made visible and lessons for the future. CONCLUSION: The INCFCC members provided their views and highlighted the impact on their role in nursing education, administration, research and/or practice. This discussion of international perspectives on the similarities and differences imposed by COVID-19 found that the impact was wide-ranging and prolonged. The overarching theme revealed the resilience of the participating members in the face of COVID-19. RELEVANCE TO CLINICAL PRACTICE: This study highlights the importance of all areas of nursing, be it in academia or in clinical practice, to work together to learn from the present and to plan for the future. Future work should focus on supporting organizational and personal resiliency and effective interventions to support the nursing workforce both during a disaster and in the recovery phase. Nursing workforce resilience in the face of COVID-19.

Development of a prognostic model of COVID-19 severity: a population-based cohort study in Iceland.

BACKGROUND: The severity of SARS-CoV-2 infection varies from asymptomatic state to severe respiratory failure and the clinical course is difficult to predict. The aim of the study was to develop a prognostic model to predict the severity of COVID-19 in unvaccinated adults at the time of diagnosis. METHODS: All SARS-CoV-2-positive adults in Iceland were prospectively enrolled into a telehealth service at diagnosis. A multivariable proportional-odds logistic regression model was derived from information obtained during the enrollment interview of those diagnosed between February 27 and December 31, 2020 who met the inclusion criteria. Outcomes were defined on an ordinal scale: (1) no need for escalation of care during follow-up; (2) need for urgent care visit; (3) hospitalization; and (4) admission to intensive care unit (ICU) or death. Missing data were multiply imputed using chained equations and the model was internally validated using bootstrapping techniques. Decision curve analysis was performed. RESULTS: The prognostic model was derived from 4756 SARS-CoV-2-positive persons. In total, 375 (7.9%) only required urgent care visits, 188 (4.0%) were hospitalized and 50 (1.1%) were either admitted to ICU or died due to complications of COVID-19. The model included age, sex, body mass index (BMI), current smoking, underlying conditions, and symptoms and clinical severity score at enrollment. On internal validation, the optimism-corrected Nagelkerke's R2 was 23.4% (95%CI, 22.7-24.2), the C-statistic was 0.793 (95%CI, 0.789-0.797) and the calibration slope was 0.97 (95%CI, 0.96-0.98). Outcome-specific indices were for urgent care visit or worse (calibration intercept -0.04 [95%CI, -0.06 to -0.02], Emax 0.014 [95%CI, 0.008-0.020]), hospitalization or worse (calibration intercept -0.06 [95%CI, -0.12 to -0.03], Emax 0.018 [95%CI, 0.010-0.027]), and ICU admission or death (calibration intercept -0.10 [95%CI, -0.15 to -0.04] and Emax 0.027 [95%CI, 0.013-0.041]). CONCLUSION: Our prognostic model can accurately predict the later need for urgent outpatient evaluation, hospitalization, and ICU admission and death among unvaccinated SARS-CoV-2-positive adults in the general population at the time of diagnosis, using information obtained by telephone interview.

Monoclonal gammopathy of undetermined significance and COVID-19: a population-based cohort study.

Multiple myeloma (MM) patients have increased risk of severe coronavirus disease 2019 (COVID-19) when infected by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Monoclonal gammopathy of undetermined significance (MGUS), the precursor of MM has been associated with immune dysfunction which may lead to severe COVID-19. No systematic data have been published on COVID-19 in individuals with MGUS. We conducted a large population-based cohort study evaluating the risk of SARS-CoV-2 infection and severe COVID-19 among individuals with MGUS. We included 75,422 Icelanders born before 1976, who had been screened for MGUS in the Iceland Screens Treats or Prevents Multiple Myeloma study (iStopMM). Data on SARS-CoV-2 testing and COVID-19 severity were acquired from the Icelandic COVID-19 Study Group. Using a test-negative study design, we included 32,047 iStopMM participants who had been tested for SARS-CoV-2, of whom 1754 had MGUS. Among these participants, 1100 participants, tested positive, 65 of whom had MGUS. Severe COVID-19 developed in 230 participants, including 16 with MGUS. MGUS was not associated with SARS-CoV-2 infection (Odds ratio (OR): 1.05; 95% confidence interval (CI): 0.81-1.36; p = 0.72) or severe COVID-19 (OR: 0.99; 95%CI: 0.52-1.91; p = 0.99). These findings indicate that MGUS does not affect the susceptibility to SARS-CoV-2 or the severity of COVID-19.

Clinical spectrum of coronavirus disease 2019 in Iceland: population based cohort study.

OBJECTIVE: To characterise the symptoms of coronavirus disease 2019 (covid-19). DESIGN: Population based cohort study. SETTING: Iceland. PARTICIPANTS: All individuals who tested positive for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) by reverse transcription polymerase chain reaction (RT-PCR) between 17 March and 30 April 2020. Cases were identified by three testing strategies: targeted testing guided by clinical suspicion, open invitation population screening based on self referral, and random population screening. All identified cases were enrolled in a telehealth monitoring service, and symptoms were systematically monitored from diagnosis to recovery. MAIN OUTCOME MEASURES: Occurrence of one or more of 19 predefined symptoms during follow-up. RESULTS: Among 1564 people positive for SARS-CoV-2, the most common presenting symptoms were myalgia (55%), headache (51%), and non-productive cough (49%). At the time of diagnosis, 83 (5.3%) individuals reported no symptoms, of whom 49 (59%) remained asymptomatic during follow-up. At diagnosis, 216 (14%) and 349 (22%) people did not meet the case definition of the Centers for Disease Control and Prevention and the World Health Organization, respectively. Most (67%) of the SARS-CoV-2-positive patients had mild symptoms throughout the course of their disease. CONCLUSION: In the setting of broad access to RT-PCR testing, most SARS-CoV-2-positive people were found to have mild symptoms. Fever and dyspnoea were less common than previously reported. A substantial proportion of SARS-CoV-2-positive people did not meet recommended case definitions at the time of diagnosis.