Severe acute respiratory syndrome coronavirus 2 and the infection, COVID-19, affected people's life worldwide. This pandemic forced both pharmacy faculty and students to adapt to a new teaching and learning environment not only in the United States but around the globe. Pharmacy educators faced common challenges and opportunities to make classroom learning and experiences, as well as student assessments, into a remote or online format. Unique approaches taken to overcome difficulties in various countries showed pharmacy faculty's resilience to continue providing education to students. The pandemic also shed light on areas needing improvement for pharmacy educators to work on in the future.

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Purpose: To determine patients’ quality of life (QoL), impact of socio-demographic characteristics as well as biochemical parameters on the quality of life of chronic kidney disease patients. Methods: The study was a prospective, cross-sectional study carried out in the Renal Units of Central Hospital, Warri and Delta State University Teaching Hospital, Oghara, both in Nigeria. The quality of life of the patients was assessed using the generic core of Kidney Disease Quality of Life Short Form (KDQOL-SFTM) questionnaire. Data obtained were coded into the KDQOL--SFTM scoring program (version 1.3), while descriptive and inferential analyses were done using SPSS Results: Overall, the quality of life scores of patients with chronic kidney disease in both Physical and Mental Health components (PCS and MCS) was low. Respondents’ PCS scores in Central Hospital Warri was 31.08 ± 4.62 while that for respondents in DELSUTH was 31.75 ± 6.01, (p = 0.39). Similarly, the MCS score for respondents in Central Hospital Warri was 37.73 ± 3.37 while it was 37.68 ± 4.09 for DELSUTH (p = 0.94). These scores were lower than the standard norm, which is 50 There was no relationship between socio-demographic characteristics and the quality of life of the respondents in both health facilities. Serum creatinine and potassium showed a negative association with quality of life PCS (p = .025 and p = .006; 2-tailed), respectively. Conclusion: In general, the QoL of patients with chronic kidney disease in the two surveyed settings was low. None of the socio-demographic characteristics had a significant relationship with the QoL of the respondents in both health centres. There was a negative association between PCS score and both creatinine and potassium. Keywords: Quality of life (QoL), Patients, Chronic kidney disease, Creatinine, Potassium