Identification Of Adverse Events in Hospitalized Patients by Using Perinatal Trigger Tool

Authors

  • Rabia Hammad Department of Obstetrics and Gynecology, Aga Khan Hospital, Kharadar Campus, Karachi, Pakistan Author
  • Rifaat Rehan Department of Obstetrics and Gynecology, Aga Khan Hospital, Kharadar Campus, Karachi, Pakistan Author
  • Wajeeha Yahya Department of Obstetrics and Gynecology, Aga Khan Hospital, Kharadar Campus, Karachi, Pakistan Author
  • Sidrah Nausheen Department of Obstetrics and Gynecology, Aga Khan Hospital, Kharadar Campus, Karachi, Pakistan Author
  • Anum Jabbar Department of Obstetrics and Gynecology, Aga Khan Hospital, Kharadar Campus, Karachi, Pakistan Author
  • Fatima Khan Department of Obstetrics and Gynecology, Aga Khan Hospital, Kharadar Campus, Karachi, Pakistan Author

DOI:

https://doi.org/10.61919/0z02ga75

Keywords:

Patient Safety, Perinatal Care, Trigger Tool, Adverse Events, Obstetric Harm, Neonatal Harm, Quality Improvement

Abstract

Background: Adverse events in perinatal care remain under-identified by conventional incident reporting, and structured trigger tools may offer a more sensitive method for detecting patient harm and guiding quality improvement. Objective: This study aimed to estimate the rate, type, and severity of adverse events among hospitalized obstetric and neonatal patients using the IHI perinatal trigger tool, with the expectation of identifying clinically actionable events for system-level safety interventions. Methods: A descriptive cross-sectional study was conducted in a 48-bed tertiary women’s hospital, reviewing 120 randomly selected medical records (n = 120) of obstetric patients and their neonates over six months. Inclusion criteria were all obstetric and neonatal admissions; exclusions were incomplete records or non-perinatal admissions. Data were abstracted using the UK Global Trigger Tool for perinatal care, with each record independently reviewed by trained clinicians for predefined triggers and adverse events, categorized by harm severity. Statistical analysis was performed using SPSS (version 13), employing descriptive statistics and group comparisons with chi-square and odds ratios, adhering to ethical approval per the Helsinki Declaration. Results: Adverse events were detected in 17.5% of cases (21/120), with an event rate of 15.8 per 100 admissions and 19.2 per 1,000 patient-days. Most events were temporary (IHI categories E and F), and triggers such as blood transfusion and unplanned return to surgery showed the highest predictive value (PPV 100%, p < 0.05). No significant difference was found between maternal and neonatal groups (p > 0.05). Conclusion: The IHI perinatal trigger tool reliably identified clinically meaningful adverse events in hospitalized obstetric and neonatal patients, supporting its integration into routine safety surveillance to enhance patient outcomes and inform targeted quality improvements in perinatal healthcare settings

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Published

2025-05-30

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Articles

How to Cite

1.
Rabia Hammad, Rifaat Rehan, Wajeeha Yahya, Sidrah Nausheen, Anum Jabbar, Fatima Khan. Identification Of Adverse Events in Hospitalized Patients by Using Perinatal Trigger Tool. JHWCR [Internet]. 2025 May 30 [cited 2025 Jun. 10];:e304. Available from: https://jhwcr.com/index.php/jhwcr/article/view/304

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