Evidence map›Paper›PMID 35119512›Full record

ArticleWorld journal of surgery2022

Analysis of Surgical Mortalities Using the Fishbone Model for Quality Improvement in Surgical Disciplines.

M S Moeng, T E Luvhengo

Abstract read
PubMed Publisher
In one paragraph

Article in World journal of surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

2 authors.

M S MoengCharlotte Maxeke Johannesburg Academic Hospital (CMJAH), University of the Witwatersrand, Box 7053, Cresta, Johannesburg, Republic of South Africa. maeyane.moeng@wits.ac.za.
T E LuvhengoClinical Head Department of Surgery, CMJAH, University of the Witwatersrand, Johannesburg, Republic of South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe healthcare industry is complex and prone to the occurrence of preventable patient safety incidents. Most serious patient safety events in surgery are preventable.

aimThis study was conducted to determine the rate of occurrence of preventable mortalities and to use the fishbone model to establish the main contributing factors.

methodsWe reviewed the records of patients who died following admission to the surgical wards. Data regarding their demography, diagnosis, acuity, comorbidities, categorization of death and contributing factors were extracted from the Research Electronic Data Capture (REDCap) database. Factors which contributed to preventable and potentially preventable mortalities were collated. The fishbone model was used for root cause analysis. The study received prior ethical clearance (M190122).

resultsRecords of 859 mortalities were found, of which 65.7% (564/859) were males. The median age of the patients who died was 49 years (IQR: 33-64 years). The median length of hospital stay before death was three days (IQR: 1-11 days). Twenty-four percent (24.1%) of the deaths were from gastrointestinal (GIT) emergencies, 18.4% followed head injury and 17.0% from GIT cancers. Overall, 5.4% of the mortalities were preventable, and 41.1% were considered potentially preventable. The error of judgment and training issues accounted for 46% of mortalities.

conclusionMost surgical mortalities involve males, and around 46% are either potentially preventable or preventable. The majority of the mortality were associated with GIT emergencies, head injury and advanced malignancies of the GIT. The leading contributing factors to preventable and potentially preventable mortalities were the error of judgment, inadequate training and shortage of resources.

Indexed as

Quality ImprovementAdultCause of DeathDatabases, FactualHumansMaleMiddle AgedRetrospective Studies

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.