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[article]
Titre : |
Determining the minimal clinically important difference of the hand function sort questionnaire in vocational rehabilitation |
Type de document : |
texte imprimé |
Auteurs : |
Zineb Benhissen ; Michel Konzelmann ; Philippe Vuistiner ; Bertrand Leger ; François Luthi ; Charles Benaïm |
Année de publication : |
2019 |
Article en page(s) : |
p. 155-160 |
Note générale : |
https://doi.org/10.1016/j.rehab.2018.11.003 |
Langues : |
Anglais (eng) |
Mots-clés : |
Treatment outcome Surveys and questionnaires Upper extremity Recovery of function Rehabilitation |
Résumé : |
Objective
To estimate the Minimal Clinically Important Difference (MCID) of the French version of the Hand Function Sort questionnaire (HFS-F). As a comparison, the MCID of the Disabilities of the Arm, Shoulder, and Hand (DASH) was also estimated.
Materials and methods
We included French-speaking patients hospitalized in a multidisciplinary rehabilitation program for chronic pain of the upper limb after an accident. HFS-F and DASH scores were collected at admission and discharge; the Patient Global Impression of Change measure (PGIC; 7 levels) was collected at discharge. The MCID was estimated by 2 methods: the anchor-based method (receiver operating characteristic [ROC], delta (Δ) mean of scores) and the objective method based on the distribution of scores (standard error of measurement, SEM).
Result
We included 225 patients. By the anchor-based method, the MCID for the HFS-F and DASH was +26 (SD 35) (P < 10−4) and −13 (SD 13) (P < 10−4), respectively, and by the ROC curve, it was +10 to +12 for the Δ-HFS-F and −7.5 to −5 for the Δ-DASH. The area under the ROC curve (AUC) was 0.726 [0.638–0.781] for Δ-HFS-F and 0.768 [0.701–0.83] for Δ-DASH. The correlations between the anchor and delta scores were > 0.38 (P < 10−4). The SEM was 16.2 for the HFS-F and −4.3 for the DASH.
Conclusions
Values below the SEM must be rejected. Our anchor was significantly correlated with the outcome. Therefore, we propose an MCID for the HFS-F of 26, corresponding to approximately 10% progression of the score. |
En ligne : |
https://www.sciencedirect.com/science/article/pii/S1877065718314969 |
Permalink : |
./index.php?lvl=notice_display&id=84113 |
in Annals of physical and rehabilitation medicine > Vol. 62, n°3 (Mai 2019) . - p. 155-160
[article] Determining the minimal clinically important difference of the hand function sort questionnaire in vocational rehabilitation [texte imprimé] / Zineb Benhissen ; Michel Konzelmann ; Philippe Vuistiner ; Bertrand Leger ; François Luthi ; Charles Benaïm . - 2019 . - p. 155-160. https://doi.org/10.1016/j.rehab.2018.11.003 Langues : Anglais ( eng) in Annals of physical and rehabilitation medicine > Vol. 62, n°3 (Mai 2019) . - p. 155-160
Mots-clés : |
Treatment outcome Surveys and questionnaires Upper extremity Recovery of function Rehabilitation |
Résumé : |
Objective
To estimate the Minimal Clinically Important Difference (MCID) of the French version of the Hand Function Sort questionnaire (HFS-F). As a comparison, the MCID of the Disabilities of the Arm, Shoulder, and Hand (DASH) was also estimated.
Materials and methods
We included French-speaking patients hospitalized in a multidisciplinary rehabilitation program for chronic pain of the upper limb after an accident. HFS-F and DASH scores were collected at admission and discharge; the Patient Global Impression of Change measure (PGIC; 7 levels) was collected at discharge. The MCID was estimated by 2 methods: the anchor-based method (receiver operating characteristic [ROC], delta (Δ) mean of scores) and the objective method based on the distribution of scores (standard error of measurement, SEM).
Result
We included 225 patients. By the anchor-based method, the MCID for the HFS-F and DASH was +26 (SD 35) (P < 10−4) and −13 (SD 13) (P < 10−4), respectively, and by the ROC curve, it was +10 to +12 for the Δ-HFS-F and −7.5 to −5 for the Δ-DASH. The area under the ROC curve (AUC) was 0.726 [0.638–0.781] for Δ-HFS-F and 0.768 [0.701–0.83] for Δ-DASH. The correlations between the anchor and delta scores were > 0.38 (P < 10−4). The SEM was 16.2 for the HFS-F and −4.3 for the DASH.
Conclusions
Values below the SEM must be rejected. Our anchor was significantly correlated with the outcome. Therefore, we propose an MCID for the HFS-F of 26, corresponding to approximately 10% progression of the score. |
En ligne : |
https://www.sciencedirect.com/science/article/pii/S1877065718314969 |
Permalink : |
./index.php?lvl=notice_display&id=84113 |
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) 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