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Completeness and data validity in the Danish Achilles tendon Database.

Allan Cramer1, Maria Swennergren Hansen, Håkon Sandholdt

  • 1allancramer94@gmail.com.

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Data in the Danish Achilles tendon Database (DADB) show satisfactory completeness for non-operated patients but poor completeness for operated patients. All recorded parameters were valid, suggesting DADB data can aid research on non-operated Achilles tendon ruptures.

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Area of Science:

  • Orthopedics
  • Musculoskeletal Research
  • Clinical Data Management

Background:

  • Acute Achilles tendon rupture is a significant injury leading to functional impairment and lost workdays.
  • The Danish Achilles tendon Database (DADB) offers potential for monitoring and optimizing treatment strategies.
  • Evaluating the DADB's data quality is crucial for its effective utilization in research.

Purpose of the Study:

  • To assess the completeness and data validity of the Danish Achilles tendon Database (DADB).
  • To determine if DADB data is reliable for research on Achilles tendon injuries.

Main Methods:

  • A registry study design was employed, comparing DADB entries with patient records.
  • Data were extracted from three participating hospitals within the DADB.
  • Data completeness and parameter validity were assessed against predefined criteria (80% satisfactory).

Main Results:

  • Overall data completeness in the DADB was 77%, meeting the satisfactory threshold for non-operated patients (81%) but not for operated patients (31%).
  • All seven investigated data parameters demonstrated high validity, ranging from 83% to 100%.
  • A significant discrepancy was noted in the completeness of data for operated versus non-operated patients.

Conclusions:

  • The DADB contains satisfactory and valid data for non-operated Achilles tendon rupture patients, suitable for research.
  • Data completeness for operated patients is unsatisfactory, requiring cautious interpretation and further investigation.
  • Optimization of data collection logistics for operated patients within the DADB is recommended to improve data quality.