Analysis of Surgical Mortalities Using the Fishbone Model for Quality Improvement

August 14, 2021 updated by: Maeyane Stephens Moeng, University of Witwatersrand, South Africa
Retrospective data analysis of mortalities and the evaluation of the quality of care offered, using the Fishbone method.

Study Overview

Status

Completed

Intervention / Treatment

Detailed Description

Evaluation of mortalities seen between 01 January 2017 and 31 December 2018. Analysis of the mortality decision into preventable, non-preventable and potentially preventable categories. Identifying the associated risk factors and co-morbidities in a single centre study in Johannesburg. Further analysing was performed on the subset of preventable mortalities and further do the fishbone model of quality of care. RedCap data was utilized for all data points. A further comparison was done to the MNM classification based on the team and an independent senior surgeon.

Study Type

Observational

Enrollment (Actual)

859

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Gauteng
      • Johannesburg, Gauteng, South Africa, 2123
        • Charlotte Maxeke Johannesburg Academic Hospital

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

all adults 18 years or older that presented to our institution and died withing the study period.

Description

Inclusion Criteria: All mortality of patients seen in the Department who were 18yrs or older

-

Exclusion Criteria:

  • incomplete data death in the Emergency department

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
mortality outcomes
mortality classification into preventable, potentially preventable and non-prevenatable
quality
Other Names:
  • mortality outcomes

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
mortality outcomes
Time Frame: study period (Jan 2017 to Dec 2018)
in-hospital mortality
study period (Jan 2017 to Dec 2018)

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Maeyane Moeng, MBBCH, FCS, University of Witwatersrand, South Africa

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

January 1, 2017

Primary Completion (Actual)

December 31, 2018

Study Completion (Actual)

December 31, 2018

Study Registration Dates

First Submitted

August 3, 2021

First Submitted That Met QC Criteria

August 14, 2021

First Posted (Actual)

August 23, 2021

Study Record Updates

Last Update Posted (Actual)

August 23, 2021

Last Update Submitted That Met QC Criteria

August 14, 2021

Last Verified

August 1, 2021

More Information

Terms related to this study

Other Study ID Numbers

  • M190122

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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