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Decreasing intrapartum malpractice: Targeting the most injurious neonatal adverse events
Author(s) -
Santos Palmira,
Ritter Grant A.,
Hefele Jennifer L.,
Hendrich Ann,
McCoy Christine Kocot
Publication year - 2015
Publication title -
journal of healthcare risk management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.221
H-Index - 16
eISSN - 2040-0861
pISSN - 1074-4797
DOI - 10.1002/jhrm.21168
Subject(s) - documentation , malpractice , harm , liability , patient safety , medicine , medical malpractice , citation , medical emergency , safer , business , nursing , psychology , computer security , accounting , political science , computer science , health care , social psychology , law , programming language
Medical malpractice expenditures are mainly due to the occurrence of preventable harm with some of the highest liability rates in obstetrics. Establishing delivery system models which decrease preventable harm and malpractice risk have had varied results over the last decade. We conducted a case study of a risk reduction labor and delivery model at 5 demonstration sites. The model included standardized protocols for the most injurious events, training teams in labor and delivery emergencies, rapid reporting with cause analysis for all unplanned events, and disclosing unexpected occurrences to patients using coordinated communication and documentation. Each of the model's components required buy in from the hospital's clinical and administrative leadership, and it also required collaboration, training, and continual feedback to labor and delivery nurses, doctors, midwives, and risk managers. The case study examined the key elements in the development of the model based on interviews of all team members and document review. We also completed data analysis pre and post implementation of the new model to assess the impact on event reporting and high liability occurrence rates. After 27 months post implementation, reporting of unintended events increased significantly (43 vs 84 per 1000 births, p < .01) while high‐risk malpractice events decreased significantly (14 vs 7 per 1000 births, p < .01). This decrease enabled money allotted for malpractice claims to be reallocated for the implementation of the new model at 42 additional labor and delivery sites. Due to these results, this multilevel integrated model showed promise.