Factors associated with prolonged hospitalization of patients with corona virus disease (COVID‑19) in Uganda: a retrospective cohort study

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Date
2022Author
Ingabire, Prossie M.
Nantale, Ritah
Sserwanja, Quraish
Nakireka, Susan
Musaba, Milton W.
Muyinda, Asad
Tumuhaise, Criscent
Namulema, Edith
Bongomin, Felix
Napyo, Agnes
Ainembabazi, Rozen
Olum, Ronald
Munabi, Ian
Kiguli6, Sarah
Mukunya, David
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Show full item recordAbstract
Identification of factors predicting prolonged hospitalization of patients with coronavirus disease
(COVID-19) guides the planning, care and flow of patients in the COVID-19 Treatment Units (CTUs). We determined
the length of hospital stay and factors associated with prolonged hospitalization among patients with COVID-19 at six
CTUs in Uganda.
Methods: We conducted a retrospective cohort study of patients admitted with COVID-19 between January and
December 2021 in six CTUs in Uganda. We conducted generalized linear regression models of the binomial family
with a log link and robust variance estimation to estimate risk ratios of selected exposure variables and prolonged
hospitalization (defined as a hospital stay for 14 days or more). We also conducted negative binomial regression models
with robust variance to estimate the rate ratios between selected exposures and hospitalization duration.
Results: Data from 968 participants were analyzed. The median length of hospitalization was 5 (range: 1–89) days. A
total of 136/968 (14.1%: 95% confidence interval (CI): 11.9–16.4%) patients had prolonged hospitalization. Hospitalization
in a public facility (adjusted risk ratio (ARR) = 2.49, 95% CI: 1.65–3.76), critical COVID-19 severity scores (ARR = 3.24:
95% CI: 1.01–10.42), and malaria co-infection (adjusted incident rate ratio (AIRR) = 0.67: 95% CI: 0.55–0.83) were associated
with prolonged hospitalization.
Conclusion: One out of seven COVID-19 patients had prolonged hospitalization. Healthcare providers in public
health facilities should watch out for unnecessary hospitalization. We encourage screening for possible co-morbidities
such as malaria among patients admitted for COVID-19.
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