| Literature DB >> 34364950 |
Georgia Lamb1, Joseph Heskin2, Paul Randell3, Nabeela Mughal2, Luke Sp Moore4, Rachael Jones2, Gary W Davies2, Michael Rayment2.
Abstract
OBJECTIVES: Real-world evaluation of the performance of the Innova lateral flow immunoassay antigen device (LFD) for regular COVID-19 testing of hospital workers.Entities:
Keywords: Diagnostics; Lateral flow tests; Point-of-care; SARS-CoV-2
Mesh:
Year: 2021 PMID: 34364950 PMCID: PMC8340567 DOI: 10.1016/j.jinf.2021.07.038
Source DB: PubMed Journal: J Infect ISSN: 0163-4453 Impact factor: 6.072
Fig. 1CONSORT diagram summarizing healthcare worker cohort participation and SARS-CoV-2 lateral flow antigen test analysis.
Fig. 2Summary of paired SARS-CoV-2 lateral flow device (LFD) and polymerase chain reaction (PCR) results of healthcare workers during the study period.
Comparison of demographics between healthcare workers with positive SARS-CoV-2 lateral flow antigen results, with confirmatory PCR testing and without.
| Group with confirmatory PCR ( | Group without confirmatory PCR ( | ||
|---|---|---|---|
| Gender | |||
| Male | 75 (28.96%) | 4 (16%) | 0.17 (−6.40–24.17) |
| Female | 184 (71.04%) | 21 (84%) | 0.17 (−6.40–24.17)) |
| Staff Group | |||
| Additional Clinical Services | 44 (16.99%) | 3 (12%) | 0.52 (−13.42–14.31) |
| Administrative and Clerical | 16 (6.18%) | 4 (16%) | 0.07 (−0.44–28.62) |
| Allied Health Professionals | 14 (5.41%) | 1 (4%) | 0.76 (−14.28–6.19) |
| Domestic and security services | 4 (1.54%) | 0 | 0.53 (−11.81–3.90) |
| Medical and Dental | 50 (19.31%) | 4 (16%) | 0.69 (−15.84–14.24) |
| Nursing and Midwifery | 118 (45.56%) | 12 (48%) | 0.82 (−16.53–21.88) |
| Scientific and Technical | 7 (2.70%) | 0 | 0.41 (−10.69–5.47) |
| Support Services | 3 (1.16%) | 1 (4%) | 0.25 (−1.11–18.40) |
| Volunteer | 1 (0.39%) | 0 | 0.75 (−12.93–2.16) |
| Unknown | 2 (0.77%) | 0 | 0.66 (−12.56–2.77) |
| Job Role | |||
| Administrator | 9 (3.47%) | 3 (12%) | 0.04 (0.14–26.56) |
| Audiologist | 2 (0.77%) | 0 | 0.66 (−12.56–2.77) |
| Cleaner | 3 (1.16%) | 0 | 0.59 (−12.18–3.35) |
| Clinical Support Worker | 16 (6.18%) | 2 (8%) | 0.72 (−5.00–18.95) |
| Consultant (Doctor) | 15 (5.79%) | 0 | 0.22 (−7.72–9.33) |
| Dietician | 1 (0.39%) | 0 | 0.75 (−12.93–2.16) |
| Healthcare Assistant | 22 (8.49%) | 1 (4%) | 0.43 (−11.31–9.69) |
| Helpdesk Operator | 1 (0.39%) | 0 | 0.75 (−12.93–2.16) |
| Junior Doctor | 34 (13.13%) | 4 (16%) | 0.69 (−7.80–21.86) |
| Manager | 11 (4.25%) | 3 (12%) | 0.09 (−0.71–25.80) |
| Matron | 3 (1.16%) | 0 | 0.59 (−12.18–3.35) |
| Midwife | 18 (6.95%) | 0 | 0.17 (−6.60–10.72) |
| Nurse | 90 (34.75%) | 11 (44%) | 0.36 (−9.09–28.98) |
| Nurse Practitioner | 1 (0.39%) | 0 | 0.75 (−12.93–2.16) |
| Operating Department Practitioner | 3 (1.16%) | 0 | 0.59 (−12.18–3.35) |
| Pharmacist | 6 (2.32%) | 0 | 0.44 (−11.06- 4.97) |
| Physician Associate | 1 (0.39%) | 0 | 0.75 (−12.93–2.16) |
| Radiographer | 3 (1.16%) | 0 | 0.59 (−12.18–3.35) |
| Therapist | 15 (5.79%) | 1 (4%) | 0.71 (−13.92–6.63) |
| Volunteer | 1 (0.39%) | 0 | 0.75 (−12.93–2.16) |
| Unknown | 3 (1.16%) | 0 | 0.59 (−12.18–3.35) |
| Patient contact | |||
| Patient facing | 231 (89.19%) | 20 (80%) | 0.17 (−2.78–28.59) |
| Non-patient facing | 25 (9.65%) | 5 (20%) | 0.11 (−1.56–29.72) |
| Unknown | 3 (1.16%) | 0 | 0.59 (−12.18–3.35) |