Literature DB >> 23507944

What causes near-misses and how are they mitigated?

Karen Gabel Speroni1, Judith Fisher, Marie Dennis, Marlon Daniel.   

Abstract

OBJECTIVES: The objectives of this study were to determine the reasons hospital RNs attribute to near-misses and the techniques they used to mitigate these near-misses to prevent serious reportable events.
BACKGROUND: Our health system developed this definition for the study: A near-miss is a variation in a normal process that, if continued, could have a negative impact on patients.
METHODS: Study participants were RNs who completed a survey about a self-reported near-miss or another RN's near-miss they'd witnessed. Data collected included participant demographics, near-miss occurrence by day of week and time, near-miss type, and attributed causes.
RESULTS: A total of 144 near-miss types were self-reported or witnessed by 123 respondents; of these, 43 (35%) self-reported a near-miss event and 80 (65%) witnessed a near-miss event. The respondents identified medication administration (19%) and transcription errors (10%) as the most frequent types of near-misses (N = 144). Selecting from 412 factors related to near-misses, more RNs attributed near-misses to personal factors than institutional factors. Top personal factors were not following policy and inappropriate decision making or critical assumptions. Top institutional factors were work-related interruptions and distractions, and poor communication about a patient. A total of 400 techniques were used to mitigate the near-misses, nearly one per causative factor identified. Top techniques used were stop, think, act, review (STAR) and verification of proper procedures or actions.
CONCLUSIONS: Hospital administrators should consider both personal and institutional factors when evaluating patient-safety programs. Education about mitigating techniques for near-misses is imperative for RNs.

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Year:  2013        PMID: 23507944     DOI: 10.1097/01.NURSE.0000427995.92553.ef

Source DB:  PubMed          Journal:  Nursing        ISSN: 0360-4039


  2 in total

1.  Nurse's Achilles Heel: Using Big Data to Determine Workload Factors That Impact Near Misses.

Authors:  Amy A Campbell; Todd Harlan; Matt Campbell; Madhuri S Mulekar; Bin Wang
Journal:  J Nurs Scholarsh       Date:  2021-03-30       Impact factor: 3.176

2.  Near misses and unsafe conditions reported in a Pediatric Emergency Research Network.

Authors:  Richard M Ruddy; James M Chamberlain; Prashant V Mahajan; Tomohiko Funai; Karen J O'Connell; Stephen Blumberg; Richard Lichenstein; Heather L Gramse; Kathy N Shaw
Journal:  BMJ Open       Date:  2015-09-02       Impact factor: 2.692

  2 in total

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