跳至主要内容
临床试验/NCT06933953
NCT06933953招募中不适用

Psychometric Validation of the Foot Health Status Questionnaire in French Language

Centre Hospitalier Régional d'Orléans1 个研究点 分布在 1 个国家目标入组 150 人开始时间: 2025年3月31日最近更新:
适应症
干预措施

试验速览

阶段
不适用
状态
招募中
入组人数
150
试验地点
1
主要终点
Internal consistency

研究概览

简要总结

A French foot health survey showed that 73% of people examined felt pain and 38% don't left their home, which suggest a reduction in their life's quality and autonomy. Developed by Paul Bennett, FHSQ is a foot health-specific self administrated questionnaire. It sensitively detects changes in patients' foot health status, whatever their pathology, across multidimensional concepts of their quality of life. Actually, more than 150 scientific publications have cited it. Reliable and valid, it has already been translated and validated in multiple languages, but not in French. The subject of this study is to validate the translated and cross-cultural adapted French version FHSQ-fr through its psychometric results of validity and reliability. The study follows a 2-stage methodology.

The first, already completed, consisted of (back)translating the Australian FHSQ questionnaire into French by a scientific committee in order to obtain a pre-final version.

The second is to validate this final version using appropriate statistical analysis, including correlations studies with other French validated questionnaires, to determine its psychometric characteristics.

详细描述

To assess validity, 150 volunteers will fill out French validated questionnaires, Foot Function Index (FFI), EuroQuality of life 5D-5L (EQ5D) , Visual Analogic Pain Scale (VAPS), and Short Form 12 Health survey (SF12). They will be evaluated about their pain, morphology, function and posture of their feet as usual at a podiatric school. To assess reliability, 50 respondents from the 150 who didn't receive any treatment after 7 to 10 days, will complete the FHSQ-fr again. It would improve knowledge of the status of foot health and its related quality of life in the general population and those suffering from specific pathologies such as diabetes or rheumatoid arthritis, the effectiveness of certain treatments on the same foot condition, and their evolutions using longitudinal studies in France. At the international, the French future results of studies using this clinimetric tool could be compared with those who come from other countries, and integrated to the Australian author's " Bigdataset" which compares, analyses and predicts more accurately the clinically significant efficacy of a treatment.

研究设计

研究类型
Interventional
分配方式
Na
干预模型
Single Group
主要目的
Other
盲法
None

入排标准

年龄范围
18 Years 至 —(Adult, Older Adult)
性别
All
接受健康志愿者
否

入选标准

  • •Patients coming to IFRES in Alençon (61) France for a pedicure or podiatry appointment,
  • •knowing how to speak, read and write French.

排除标准

  • •Have already taking part in this research before the proposition to get in.

研究组 & 干预措施

Patients with foot problems

Other

Patients will complete many questionnaires : FHSQ-fr, Foot Function Index, EQ-5D-5L, Visual Analog Pain Scale, SF-12

干预措施: Questionnaires (Other)

结局指标

主要结局

Internal consistency

时间窗: Day 0

It is evaluated using Cronbach's alpha coefficient "α", which measures the internal consistency of a set of items, scales or sub-scales for a single clinical dimension. The value of this index is less than or equal to 1, and the closer alpha is to 1, the stronger it is. α" \> 0.7 or \>0.8 is considered fairly high. However, the coefficient must not be too close to 1, otherwise the items are redundant and duplicate each other.

Temporal stability of patients' questionnaire scores FHSQ-en V 1.02

时间窗: Day 0 and day 7

It is measured by the Intraclass Correlation Coefficient (ICC) and its 95% confidence interval, and/or the Pearson Correlation Coefficient. By convention, fidelity is said to be: * Very good if ICC ≥0 91 * Good if 0.9 ≤ ICC ≤ 0.71 * Moderate if 0.70 ≤ ICC ≤ 0.51 * Poor if 0.5 ≤ ICC ≤ 0.31 * Very poor or nil if ICC ≤ 0.3

Measurement error

时间窗: Day 0

To apply the criterion of good measurement error, the MIC (Minimal Important Change), the SDC (Smallest Detectable Change) or the LoA (Limits of Agreement) load will be calculated using a longitudinal approach based on anchoring.

次要结局

未报告次要终点

研究者

申办方类型
Other
责任方
Sponsor

研究点 (1)

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