ArticleJournal of family medicine and primary care2022
Impact of COVID-19 first wave on the in-hospital length of stay of operated proximal femur fracture patients in an industrial hospital in Eastern India.
Article in Journal of family medicine and primary care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Objective: The objective of this article is to study the impact of coronavirus disease 2019 (COVID-19) pandemic first wave on the in-hospital length of stay of operated proximal femur fractures. Materials and Methods: A retrospective analysis of data collected through the electronic record system of the hospital, after applying inclusion and exclusion criteria, was done. The data were collected from the pre-pandemic, early part first wave and later part first wave of COVID-19 pandemic to calculate the average preoperative stay (POS) and total length of stay (LOS) of operated proximal femur fracture patients. Also, a sub-analysis of POS and LOS was done as per age (male/female), sex (<60/≥60 years) and fracture subtype (intertrochanteric, neck of femur and subtrochanteric fracture) of the patients to study if any of these had a significant direct impact on the POS and LOS. Results: The LOS and POS were found to be significantly increased during early part of first wave of COVID-19 pandemic in comparison to the pre-pandemic era (13.6 ± 7.7 days vs. 11.1 ± 5.7 days). The later part of the first wave of the pandemic however saw the LOS and POS to return to near pre-pandemic values, although still remaining higher. Conclusion: The study highlights that unpreparedness during the early part of the unprecedented pandemic event leads to a significant increase in LOS of operated patients with its associated implications; however, prompt action by the government, hospital administration and hospital staff the LOS could be reduced to near pre-pandemic values in the later part of the first wave of the pandemic. Analysis of the causes that lead to a significant increase in LOS can help for better future management of similar events in future.
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