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Related Concept Videos

Data Validation01:03

Data Validation

Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
Nursing assessment guides are generally based on holistic models rather than medical...

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Injury outcome indicators: the development of a validation tool.

C Cryer1, J D Langley, S N Jarvis

  • 1Centre for Health Services Studies, University of Kent, Canterbury, UK. colin.cryer@ipru.otago.ac.nz

Injury Prevention : Journal of the International Society for Child and Adolescent Injury Prevention
|February 5, 2005
PubMed
Summary

Researchers developed a validation tool for injury incidence indicators to ensure their accuracy. Initial testing revealed some inconsistencies in how the tool was applied by different raters.

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Area of Science:

  • Public Health
  • Injury Prevention
  • Health Statistics

Background:

  • Concerns exist regarding the validity of national injury incidence indicators.
  • Prior validation is crucial before implementing new injury indicators.

Purpose of the Study:

  • Develop a tool to assess the validity of injury incidence indicators.
  • Conduct initial testing to evaluate the tool's application consistency.

Main Methods:

  • Criteria for validation were refined through expert consultation.
  • A validation tool was developed based on agreed-upon criteria.
  • Three raters applied the tool to six non-fatal road safety indicators from Canada, New Zealand, and the UK.

Main Results:

  • The developed validation tool includes criteria for case definition, serious injury focus, unbiased ascertainment, data representativeness, data availability, and indicator specification.
  • Initial application of the tool to road safety indicators identified inter-rater agreement issues.

Conclusions:

  • This study presents an initial development of a tool for validating injury indicators.
  • Further development and refinement of the validation tool are suggested.