Evidence map›Paper›PMID 32503514›Full record

ReviewBMC health services research2020

Our first review: an evaluation of effectiveness of root cause analysis recommendations in Hong Kong public hospitals.

Yick Ting A Kwok, Alastair Py Mah, Katherine Mc Pang

Abstract readReview
In one paragraph

Review in BMC health services research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Yick Ting A KwokRoot Cause Analysis Review Workgroup, Hospital Authority, Kowloon, Hong Kong.
Alastair Py MahRoot Cause Analysis Review Workgroup, Hospital Authority, Kowloon, Hong Kong. alastairmah@ha.org.hk.
Katherine Mc PangRoot Cause Analysis Review Workgroup, Hospital Authority, Kowloon, Hong Kong.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo evaluate the effectiveness of root cause analysis (RCA) recommendations and propose possible ways to enhance its quality in Hong Kong public hospitals.

methodsA retrospective cross-sectional study was performed across 43 public hospitals and institutes in Hong Kong, reviewing RCA reports of all Sentinel Events and Serious Untoward Events within a two-year period. The incident nature, types of root causes and strengths of recommendations were analysed. The RCA recommendations were categorised as 'strong', 'medium' or 'weak' strengths utilizing the US's Veteran Affairs National Center for Patient Safety action hierarchy.

resultsA total of 214 reports from October 2016 to September 2018 were reviewed. These reports generated 504 root causes, averaging 2.4 per RCA report, and comprising 249 (49%) system, 233 (46%) staff behavioural and 22 (4%) patient factors. There were 760 recommendations identified in the RCA reports with an average of 3.6 per RCA. Of these, 18 (2%) recommendations were rated strong, 116 (15%) medium and 626 (82%) weak. Most recommendations were related to 'training and education' (466, 61%), 'additional study/review' (104, 14%) and 'review/enhancement of policy/guideline' (39, 5%).

conclusionsThis study provided insights about the effectiveness of RCA recommendations across all public hospitals in Hong Kong. The results showed a high proportion of root causes were attributed to staff behavioural factors and most of the recommendations were weak. The reasons include the lack of training, tools and expertise, appropriateness of panel composition, and complicated processes in carrying out large scale improvements. The Review Team suggested conducting regular RCA training, adopting easy-to-use tools, enhancing panel composition with human factors expertise, promoting an organization-wide safety culture to staff and aggregating analysis of incidents as possible improvement actions.

Indexed as

Hospitals, PublicRoot Cause AnalysisCross-Sectional StudiesHong KongHumansRetrospective StudiesHong KongIncident investigationPatient harmPatient safetyRoot cause analysisSentinel events

Identifiers

PMID32503514
PMCPMC7275338

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.