What question did this study set out to answer?

To assess the long-term impact of COVID-19 on the quality of life of healthcare workers using the SF-36 scale.

March 15, 2026Open Access

Long-term COVID-19 Impact on Quality of Life Among Health Care Workers at University of Abuja Teaching Hospital: A 16-month Study

CAChristie Omolola AdamsUniversity of Abuja RARahila AdiUniversity of Abuja OEObande ElizabethUniversity of Abuja

Puntos clave

To assess the long-term impact of COVID-19 on the quality of life of healthcare workers using the SF-36 scale.
Retrospective analysis of 58 quarantined healthcare workers
Assessment of physical and mental health using SF-36 scale
Data analysis performed with SPSS version 28
Fisher’s Exact Test was used for statistical analysis at a significance level of 0.515
Purposeful sampling to eliminate bias.
96.55% of patients were discharged in good condition after recovery
3.45% of patients died during the study period
The cohort comprised 34 males and 24 females
No significant association found between gender and health outcomes.

Resumen

iBackground:/i The COVID-19 pandemic has imposed unprecedented challenges on healthcare systems worldwide, with healthcare workers (HCWs) at the frontline facing significant risks. This study aims at the long-term COVID-19 impact on quality of life among HealthCare Workers at the University of Abuja Teaching Hospital: A 16-Month Study, using SF-36 (Short-Form 36) scale to assess the physical and mental health of these patients. A retrospective analysis of the health outcomes of 58 (100%) quarantined Health Care Workers, comprising 34 males and 24 females aged between 25 and 71 years. The cohort included Medical Doctors, Nurses, Laboratory Scientists, Pharmacists, Public Health Officers, Medical Radiologists, Health Sanitation Officers, Biotechnicians, and Cleaners. iMethod/ii:/i Utilizing data collected from the admission, discharge and follow-up register of the Infectious Disease Unit, using a proforma to include socio-demographic characteristics like gender, age, and occupation. Data were analysed using SPSS version 28. Variables were summarized as percentages and graphs. The variables were tested using Fisher’s Exact Test at a P- value of significance 0.515 (using a two-sided test). The p-value indicates no significant association between gender outcome (death/recovery) at typical significance levels. Purposeful sampling was used to rule out bias. iResult:/i The number of female patients was 24 (41.38%), while 34 (58.62%) were males. A tofigtal number of 58 (100%). Tragically, 2 (3.45%) patients died while 56 (96.55%) patients were discharged home in good condition. iConclusion:/i This study represents the recovery and resilience of the HealthCare Workers post-COVID-19. Further study including longitudinal study will be highly informative and beneficial.

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