Implementation of Failure Mode and Effects Analysis to the specimens flow in a population-based colorectal cancer screening programme using immunochemical faecal occult blood tests: a quality improvement project in the Milan colorectal cancer screening programme

在以人群为基础的结直肠癌筛查项目中,采用免疫化学粪便隐血试验对样本流程进行失效模式及影响分析:米兰结直肠癌筛查项目的质量改进项目

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Abstract

BACKGROUND: A multidisciplinary working group applied the Healthcare Failure Mode and Effects Analysis (HFMEA) approach to the flow of kits and specimens for the first-level test of a colorectal cancer screening programme using immunochemical faecal occult blood tests. METHODS: HFMEA comprised four steps: (1) identification and mapping of the process steps (subprocesses); (2) analysis of failure modes and calculation of the risk priority numbers (RPNs); (3) identification of corrective actions; and (4) follow-up and evaluation of corrective actions. RESULTS: The team identified 9 main failure modes, 12 effects and 34 associated causes. RPN scores ranged from 2 to 96. Failure modes within the first five positions in the ranking list ordered by RPN concerned: 'degraded haemoglobin in the specimen', 'mixed-up kits' and 'anonymous specimen'. All of these could lead to false-negative results and/or subjects with positive tests not being recalled for assessment. The team planned corrective actions for those failure modes. As a result, the follow-up of corrective actions showed a significant decrease in the proportion of anonymous kits from 11.6 to 4.8 per 1000 (relative reduction of 59%). The HFMEA exercise led to a reduction in: missed positive tests; missed cancer and high-risk adenomas; complaints about the communication of test results to a person who never did the test; and false-negative results due either to haemoglobin degradation or an expired sampling tube. CONCLUSIONS: HFMEA is a useful tool for reducing errors in colorectal cancer screening programmes using faecal occult blood tests and is characterised by a straightforward interpretation of results and ease of communication to healthcare managers and decision makers.

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