Scale Analysis

The Algofunctionele Index Heup (AIH-11) is a clinical assessment tool designed to evaluate pain and functional impairment in individuals with hip disorders. It involves patient-reported responses that are converted into numerical values to assess hip dysfunction severity. The questionnaire typically utilizes a Likert scale, and the total score is calculated to determine the degree of functional limitation and pain.
This structured analysis allows clinicians to: Identify specific functional impairments. Track disease progression over time. Monitor treatment effectiveness and patient recovery.

Objective

The primary goal of the AIH-11 is to provide a reliable and objective method for evaluating hip function and pain levels. By using this tool, healthcare providers can:Gain a better understanding of how hip disorders impact daily life. Develop more targeted and effective treatment plans. Use scoring trends to monitor rehabilitation progress and assess intervention efficacy.

Calibration

The AIH-11 is standardized by collecting data from large patient populations and analyzing these datasets to establish reference values.This calibration process helps define normal vs. pathological ranges, ensuring clinically meaningful interpretations.Reliable calibration is essential for accurate and consistent application in clinical settings.

References

The scientific literature supporting the Algofunctionele Index Heup includes: Research articles focusing on development, validation, and implementation of the scale. Clinical studies published in medical journals that discuss its reliability and validity. Case studies and population-based applications, demonstrating its practical use across different patient groups. These sources contribute to the scientific and clinical acceptance of the AIH-11 as a validated hip function assessment tool.