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COVID-19 and regional differences in the timeliness of hip-fracture surgery: an interrupted time-series analysis
Davide Golinelli; Jacopo Lenzi; Emanuele Adorno; Maria Michela Gianino; Maria Pia Fantini.
  • Davide Golinelli; University of Bologna
  • Jacopo Lenzi; University of Bologna
  • Emanuele Adorno; University of Bologna
  • Maria Michela Gianino; University of Turin
  • Maria Pia Fantini; University of Bologna
Preprint in English | medRxiv | ID: ppmedrxiv-21259910
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BackgroundIt is of great importance to examine the impact of the healthcare reorganization adopted to confront the COVID-19 pandemic on the quality of care provided by healthcare systems to non-COVID-19 patients. The aim of this study is to assess the impact of the COVID-19 national lockdown (March 9, 2020) on the quality of care provided to patients with hip fracture (HF) in Piedmont and Emilia-Romagna, 2 large regions of northern Italy severely hit by the pandemic. MethodsWe calculated the percentage of HF patients undergoing surgery within 2 days of hospital admission. An interrupted time-series analysis was performed on weekly data from December 11, 2019 to June 9, 2020 ({approx}6 months), interrupting the series in the 2nd week of March. The same data observed the year before were included as a control time series with no "intervention" (lockdown) in the middle of the observation period. ResultsBefore the lockdown, 2-day surgery was 69.9% in Piedmont and 79.2% in Emilia-Romagna; after the lockdown, these proportions were equal to 69.8% (-0.1%) and 69.3% (- 9.9%), respectively. While Piedmont did not experience any drop in the amount of surgery, Emilia-Romagna exhibited a significantly decline at a weekly rate of -1.29% (95% CI = -1.71 to -0.88). Divergent trend patterns in the 2 study regions reflect local differences in pandemic timing as well as in healthcare services capacity, management, and emergency preparedness.
Full text: Available Collection: Preprints Database: medRxiv Language: English Year: 2021 Document Type: Preprint





Full text: Available Collection: Preprints Database: medRxiv Language: English Year: 2021 Document Type: Preprint