当前位置： SCI文献检索 > BMJ Quality & Safety期刊下所有文献 > Preventing critical failure. Can routinely collected data be repurposed to predict avoidable patient harm? A quantitative descriptive study.

Preventing critical failure. Can routinely collected data be repurposed to predict avoidable patient harm? A quantitative descriptive study.

Abstract：

OBJECTIVES:To determine whether sharing of routinely collected health service performance data could have predicted a critical safety failure at an Australian maternity service. DESIGN:Observational quantitative descriptive study. SETTING:A public hospital maternity service in Victoria, Australia. DATA SOURCES:A public health service; the Victorian state health quality and safety office-Safer Care Victoria; the Health Complaints Commission; Victorian Managed Insurance Authority; Consultative Council on Obstetric and Paediatric Mortality and Morbidity; Paediatric Infant Perinatal Emergency Retrieval; Australian Health Practitioner Regulation Agency. MAIN OUTCOME MEASURES:Numbers and rates for events (activity, deaths, complaints, litigation, practitioner notifications). Correlation coefficients. RESULTS:Between 2000 and 2014 annual birth numbers at the index hospital more than doubled with no change in bed capacity, to be significantly busier than similar services as determined using an independent samples t-test (p<0.001). There were 36 newborn deaths, 11 of which were considered avoidable. Pearson correlations revealed a weak but significant relationship between number of births per birth suite room birth and perinatal mortality (r2 =0.18, p=0.003). Independent samples t-tests demonstrated that the rates of emergency neonatal and perinatal transfer were both significantly lower than similar services (both p<0.001). Direct-to-service patient complaints increased ahead of recognised excess perinatal mortality. CONCLUSION:While clinical activity data and direct-to-service patient complaints appear to offer promise as potential predictors of health service stress, complaints to regulators and medicolegal activity are less promising as predictors of system failure. Significant changes to how all data are handled would be required to progress such an approach to predicting health service failure.

journal_name

BMJ Qual Saf

journal_title

BMJ quality & safety

authors

Nowotny BM,Davies-Tuck M,Scott B,Stewart M,Cox E,Cusack K,Fletcher M,Saar E,Farrell T,Anil S,McKinlay L,Wallace EM

doi

10.1136/bmjqs-2019-010141

subject

Has Abstract

pub_date

2020-01-08 00:00:00

eissn

2044-5415

issn

2044-5423

pii

bmjqs-2019-010141

pub_type

杂志文章

在线工具

Preventing critical failure. Can routinely collected data be repurposed to predict avoidable patient harm? A quantitative descriptive study.