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Related Concept Videos

Actuarial Approach01:20

Actuarial Approach

363
The actuarial approach, a statistical method originally developed for life insurance risk assessment, is widely used to calculate survival rates in clinical and population studies. This method accounts for participants lost to follow-up or those who die from causes unrelated to the study, ensuring a more accurate representation of survival probabilities.
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
363
Kaplan-Meier Approach01:24

Kaplan-Meier Approach

719
The Kaplan-Meier estimator is a non-parametric method used to estimate the survival function from time-to-event data. In medical research, it is frequently employed to measure the proportion of patients surviving for a certain period after treatment. This estimator is fundamental in analyzing time-to-event data, making it indispensable in clinical trials, epidemiological studies, and reliability engineering. By estimating survival probabilities, researchers can evaluate treatment effectiveness,...
719
Assumptions of Survival Analysis01:15

Assumptions of Survival Analysis

486
Survival models analyze the time until one or more events occur, such as death in biological organisms or failure in mechanical systems. These models are widely used across fields like medicine, biology, engineering, and public health to study time-to-event phenomena. To ensure accurate results, survival analysis relies on key assumptions and careful study design.
486

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Related Experiment Video

Updated: Mar 28, 2026

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
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Surgical mortality audit data validity.

Therese Rey-Conde1, Riyaz Shakya2, Jennifer Allen1,3

  • 1Queensland Audit of Surgical Mortality, Royal Australasian College of Surgeons, Brisbane, Queensland, Australia.

ANZ Journal of Surgery
|December 22, 2015
PubMed
Summary
This summary is machine-generated.

The Queensland Audit of Surgical Mortality (QASM) surgical case form is a highly accurate data collection tool. This validation study confirms QASM data reliability for surgical quality improvement and research.

Keywords:
clinical auditmortalitysurgeryvalidation

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Area of Science:

  • Healthcare Quality Improvement
  • Surgical Auditing
  • Medical Data Validation

Background:

  • Surgical audits are crucial for feedback, identifying treatment deficiencies, and detecting practice gaps.
  • The Queensland Audit of Surgical Mortality (QASM) relies on accurate data for its credibility.
  • Ensuring data validity is essential for effective healthcare quality assessment.

Purpose of the Study:

  • To determine the validity of routine surgical information reporting to the Queensland Audit of Surgical Mortality (QASM).
  • To assess the accuracy of QASM data by comparing surgical case forms with medical records.

Main Methods:

  • A retrospective review compared 896 surgical case forms against medical records (gold standard).
  • Data were collected from 20 Queensland public hospitals between 2008 and 2013.
  • Concordance was assessed for 27 objective items between the QASM form and patient medical records.

Main Results:

  • Overall concordance between surgical case forms and medical records was high at 98.2%.
  • The median concordance was 100%, with few cases showing discordance, primarily due to omissions.
  • Discordant items were minimal, indicating a high degree of data accuracy.

Conclusions:

  • The QASM surgical case form is a reliable tool for collecting high-quality data.
  • QASM objective data is accurate and can be confidently used for publications, reports, and case studies.
  • This validates the use of QASM data for informing surgical practice and improving patient outcomes.