Biometric Technology Today, Vol. 2025 No. 1 (0): Theme: The Adaptive Biometric Technology: Innovations in AI, Security, Data Mining, and Network Optimization, Theme: Adaptive Biometric Technology: Innovations in AI, Security, Data Mining, and Network Optimization

The effects of Continuous quality improvement program on the incidence of nosocomial infection and complications in very preterm infants

Authors

  • Fangping Zhao , Department of NeonataPediatrics, Gansu Provincial Maternity and Child-care Hospital, Lanzhou, China
  • Jingyun Shi , Department of Neonatal Pediatrics, Gansu Provincial Maternity and Child-care Hospital, Lanzhou, China
  • Min Wang , Department of Neonatal Pediatrics, Gansu Provincial Maternity and Child-care Hospital, Lanzhou, China
  • Yuru Zhu , Department of Neonatal Pediatrics, Gansu Provincial Maternity and Child-care Hospital, Lanzhou, China
  • Guanchu Chen , Department of Neonatal Pediatrics, Gansu Provincial Maternity and Child-care Hospital, Lanzhou , China
  • Qiangyong Sun , Department of Neonatal Pediatrics, Gansu Provincial Maternity and Child-care Hospital, Lanzhou , China
  • Kun Cheng , Department of Neonatal Pediatrics, Gansu Provincial Maternity and Child-care Hospital, Lanzhou , China
  • Bin Yi Department of Neonatal Pediatrics, Gansu Provincial Maternity and Child-care Hospital, Lanzhou , China

Keywords:

Very preterm infant, Nosocomial infection, Quality improvement, Complications

Abstract

Purpose: By implementing continuous quality improvement in hospital infections, the incidence of complications in extremely preterm infants is reduced.

Methods: Extremely preterm infants admitted to the Neonatal Intensive Care Center of Gansu Maternal and Child Health Hospital from January 2021 to December 2022 were selected as the research subjects. The period before the implementation of quality improvement measures (from January 2021 to December 2021) was set as the control group, and the period after the implementation of quality improvement measures (from January 2022 to December 2022) was set as the intervention group. The admission baseline data were compared between the two groups. The incidences of complications in the two groups were also compared, and a multivariate logistic regression model was used to adjust for confounding factors.

Results:A total of 623 extremely preterm infants were included, with 295 in the control group and 328 in the intervention group. The TRIPS score and body temperature in the intervention group were higher than those in the control group, and the differences were statistically significant (P < 0.05). Multivariate logistic regression analysis showed that compared with the control group, the intervention group had a reduced risk of developing stage II or higher necrotizing enterocolitis (adjusted OR = 0.552, 95%CI 0.350 - 0.871, P < 0.05), moderate to severe bronchopulmonary dysplasia (adjusted OR = 0.523, 95%CI 0.326 - 0.839, P < 0.05), and retinopathy of prematurity (ROP) (adjusted OR = 0.566, 95%CI 0.330 - 0.973, P < 0.05).

Conclusion: The implementation of continuous quality improvement of nosocomial infections can effectively reduce the incidences of complications in extremely and extremely low birth weight preterm infants.

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Published

2025-06-11

Issue

Vol. 2025 No. 1 (0): Theme: The Adaptive Biometric Technology: Innovations in AI, Security, Data Mining, and Network Optimization

Section

Theme: Adaptive Biometric Technology: Innovations in AI, Security, Data Mining, and Network Optimization