tetano
Editor, Senior Moderator
Front Public Health
. 2024 Apr 18:12:1393677.
doi: 10.3389/fpubh.2024.1393677. eCollection 2024. Effects of COVID-19-targeted non-pharmaceutical interventions on pediatric hospital admissions in North Italian hospitals, 2017 to 2022: a quasi-experimental study interrupted time-series analysis
Giuseppe Maglietta[SUP] #[/SUP][SUP] 1 [/SUP], Matteo Puntoni[SUP] #[/SUP][SUP] 1 [/SUP], Caterina Caminiti[SUP] 1 [/SUP], Andrea Pession[SUP] 2 [/SUP], Marcello Lanari[SUP] 3 [/SUP], Fabio Caramelli[SUP] 4 [/SUP], Federico Marchetti[SUP] 5 [/SUP], Alessandro De Fanti[SUP] 6 [/SUP], Lorenzo Iughetti[SUP] 7 [/SUP], Giacomo Biasucci[SUP] 8 9 [/SUP], Agnese Suppiej[SUP] 10 [/SUP], Andrea Miceli[SUP] 11 [/SUP], Chiara Ghizzi[SUP] 12 [/SUP], Gianluca Vergine[SUP] 13 [/SUP], Melodie Aricò[SUP] 14 [/SUP], Marcello Stella[SUP] 15 [/SUP], Susanna Esposito[SUP] 16 9 [/SUP]; Emilia-Romagna Paediatric COVID-19 network
Affiliations
Background: The use of Non-Pharmaceutical Interventions (NPIs), such as lockdowns, social distancing and school closures, against the COVID-19 epidemic is debated, particularly for the possible negative effects on vulnerable populations, including children and adolescents. This study therefore aimed to quantify the impact of NPIs on the trend of pediatric hospitalizations during 2 years of pandemic compared to the previous 3 years, also considering two pandemic phases according to the type of adopted NPIs.
Methods: This is a multicenter, quasi-experimental before-after study conducted in 12 hospitals of the Emilia-Romagna Region, Northern Italy, with NPI implementation as the intervention event. The 3 years preceding the beginning of NPI implementation (in March 2020) constituted the pre-pandemic phase. The subsequent 2 years were further subdivided into a school closure phase (up to September 2020) and a subsequent mitigation measures phase with less stringent restrictions. School closure was chosen as delimitation as it particularly concerns young people. Interrupted Time Series (ITS) regression analysis was applied to calculate Hospitalization Rate Ratios (HRR) on the diagnostic categories exhibiting the greatest variation. ITS allows the estimation of changes attributable to an intervention, both in terms of immediate (level change) and sustained (slope change) effects, while accounting for pre-intervention secular trends.
Results: Overall, in the 60 months of the study there were 84,368 cases. Compared to the pre-pandemic years, statistically significant 35 and 19% decreases in hospitalizations were observed during school closure and in the following mitigation measures phase, respectively. The greatest reduction was recorded for "Respiratory Diseases," whereas the "Mental Disorders" category exhibited a significant increase during mitigation measures. ITS analysis confirms a high reduction of level change during school closure for Respiratory Diseases (HRR 0.19, 95%CI 0.08-0.47) and a similar but smaller significant reduction when mitigation measures were enacted. Level change for Mental Disorders significantly decreased during school closure (HRR 0.50, 95%CI 0.30-0.82) but increased during mitigation measures by 28% (HRR 1.28, 95%CI 0.98-1.69).
Conclusion: Our findings provide information on the impact of COVID-19 NPIs which may inform public health policies in future health crises, plan effective control and preventative interventions and target resources where needed.
Keywords: COVID-19 epidemiology; Interrupted Time Series (ITS) regression analysis; Mental Disorders; diseases of the respiratory system; non-pharmaceutical intervention (NPI); observational study; quasi-experimental design; time series analysis.
. 2024 Apr 18:12:1393677.
doi: 10.3389/fpubh.2024.1393677. eCollection 2024. Effects of COVID-19-targeted non-pharmaceutical interventions on pediatric hospital admissions in North Italian hospitals, 2017 to 2022: a quasi-experimental study interrupted time-series analysis
Giuseppe Maglietta[SUP] #[/SUP][SUP] 1 [/SUP], Matteo Puntoni[SUP] #[/SUP][SUP] 1 [/SUP], Caterina Caminiti[SUP] 1 [/SUP], Andrea Pession[SUP] 2 [/SUP], Marcello Lanari[SUP] 3 [/SUP], Fabio Caramelli[SUP] 4 [/SUP], Federico Marchetti[SUP] 5 [/SUP], Alessandro De Fanti[SUP] 6 [/SUP], Lorenzo Iughetti[SUP] 7 [/SUP], Giacomo Biasucci[SUP] 8 9 [/SUP], Agnese Suppiej[SUP] 10 [/SUP], Andrea Miceli[SUP] 11 [/SUP], Chiara Ghizzi[SUP] 12 [/SUP], Gianluca Vergine[SUP] 13 [/SUP], Melodie Aricò[SUP] 14 [/SUP], Marcello Stella[SUP] 15 [/SUP], Susanna Esposito[SUP] 16 9 [/SUP]; Emilia-Romagna Paediatric COVID-19 network
Affiliations
- PMID: 38699417
- PMCID: PMC11064846
- DOI: 10.3389/fpubh.2024.1393677
Background: The use of Non-Pharmaceutical Interventions (NPIs), such as lockdowns, social distancing and school closures, against the COVID-19 epidemic is debated, particularly for the possible negative effects on vulnerable populations, including children and adolescents. This study therefore aimed to quantify the impact of NPIs on the trend of pediatric hospitalizations during 2 years of pandemic compared to the previous 3 years, also considering two pandemic phases according to the type of adopted NPIs.
Methods: This is a multicenter, quasi-experimental before-after study conducted in 12 hospitals of the Emilia-Romagna Region, Northern Italy, with NPI implementation as the intervention event. The 3 years preceding the beginning of NPI implementation (in March 2020) constituted the pre-pandemic phase. The subsequent 2 years were further subdivided into a school closure phase (up to September 2020) and a subsequent mitigation measures phase with less stringent restrictions. School closure was chosen as delimitation as it particularly concerns young people. Interrupted Time Series (ITS) regression analysis was applied to calculate Hospitalization Rate Ratios (HRR) on the diagnostic categories exhibiting the greatest variation. ITS allows the estimation of changes attributable to an intervention, both in terms of immediate (level change) and sustained (slope change) effects, while accounting for pre-intervention secular trends.
Results: Overall, in the 60 months of the study there were 84,368 cases. Compared to the pre-pandemic years, statistically significant 35 and 19% decreases in hospitalizations were observed during school closure and in the following mitigation measures phase, respectively. The greatest reduction was recorded for "Respiratory Diseases," whereas the "Mental Disorders" category exhibited a significant increase during mitigation measures. ITS analysis confirms a high reduction of level change during school closure for Respiratory Diseases (HRR 0.19, 95%CI 0.08-0.47) and a similar but smaller significant reduction when mitigation measures were enacted. Level change for Mental Disorders significantly decreased during school closure (HRR 0.50, 95%CI 0.30-0.82) but increased during mitigation measures by 28% (HRR 1.28, 95%CI 0.98-1.69).
Conclusion: Our findings provide information on the impact of COVID-19 NPIs which may inform public health policies in future health crises, plan effective control and preventative interventions and target resources where needed.
Keywords: COVID-19 epidemiology; Interrupted Time Series (ITS) regression analysis; Mental Disorders; diseases of the respiratory system; non-pharmaceutical intervention (NPI); observational study; quasi-experimental design; time series analysis.