Retrospective Analysis of Preadmission Testing for COVID-19
Explore the impact of mandatory preadmission testing for COVID-19 with a retrospective chart review at a tertiary hospital, revealing a 10.9% prevalence rate, with incidental positive tests affecting patient care and showing associations with age and gender.
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Presentation Transcript
Preadmission Testing for SARS COV Preadmission Testing for SARS COV- -2 as a Screening Strategy for COVID Strategy for COVID- -19: A Retrospective Chart Review of 19: A Retrospective Chart Review of Patients Admitted at a tertiary teaching and referral Patients Admitted at a tertiary teaching and referral hospital hospital 2 as a Screening David Echesa Odada1, James Ndai1, Jemimah Kimeu1, Jasmit Shah2, Reena Shah 2
Introduction COVID-19 pandemic since March 2020 Challenges in prevention and control of COVID-19 transmission Asymptomatic transmission of COVID-19 Evaluating mandatory preadmission testing of COVID-19
Methodology A descriptive retrospective chart review Assess the prevalence of incidental SARS COV-2 Describe symptom presentation of patients with positive preadmission COVID-19 results Explore effects on care incidental COVID-19 has on patients
Findings COVID-19 prevalence rate of 10.9%(961/8837) at admission Rate of Incidental positive tests was 14% (138/961) Patients with Incidental COVID-19 had a significant low mean age (40 years) compared with the overall COVID-19 mean age (52 years) Female gender and age range 31 years to 60 years have higher odds of incidental COVID-19 Incidental COVID-19 affected patients plan of care 21.7% (30/138)
Findings p value Mean Std Characteristics Gender Male Female Incidental COVID-19 Yes No 15.714 17.098 17.899 15.434 51.52 46.99 39.88 51.67 <0.001 <0.001 Age and Gender Admission Distribution Association of age by gender and incidental COVID-19
Findings P Value Symptomatic Positive PCR Incidental Positive PCR Characteristics Gender N (825) N (136) <0.001 Male Female Age (years) 584 (91%) 241 (75%) 59 (65.6%) 534 (86.0%) 232 (92.8%) 55 (9%) 81 (25%) <0.001 1 30 years 31- 60 years >60 years Female Association of COVID-19 with symptom status 31 (34.4%) 87 (14.0%) 18 (7.2%)
Findings Factors 0-30 years 31-60 years Female p-value O.R 95% CI. For O.R. Lower 3.54 1.23 2.45 Upper 12.94 3.56 5.19 <0.001 0.006 0.000 6.77 2.10 3.57 Binary logistic regression model for age categories and gender as the predictor for incidental COVID-19.
Conclusion Double figure prevalence rate of COVID-19 supports rationale for containment measures Pre-admission COVID-19 testing is an effective strategy of controlling COVID-19 transmission in hospitalized patients Patient care planning and preparation should consider possibilities of incidental COVID-19
