Psychometric properties of the French version of the Pictorial Scale of Physical Self-Concept for Younger Children (P-PSC-C).

Author(s):  
Christophe Maïano ◽  
Alexandre J. S. Morin ◽  
Johanne April ◽  
Maike Tietjens ◽  
Charlaine St-Jean ◽  
...  
2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Gregory Katz ◽  
Alexandra Rouquette ◽  
François Lignereux ◽  
Thierry Mourgues ◽  
Michel Weber ◽  
...  

Abstract Background The Catquest-9SF questionnaire is a patient reported outcome measure that quantifies the visual benefits from cataract surgery. The purpose of this study was to translate and adapt the Catquest-9SF questionnaire for France, to assess its psychometric properties via Rasch analysis, and to assess its validity when completed using an electronic notepad. Methods The Catquest-9SF questionnaire was translated following the guidelines of the International Society for Pharmacoeconomics and Outcomes Research. Catquest-9SF and clinical data were collected from patients before and after routine cataract surgery. All questionnaire data were collected via an electronic notepad. Rasch analysis was performed to assess psychometric properties, and sensitivity to change was analysed for patients with complete paired pre- and post-operative questionnaires. Results A complete filled-in preoperative questionnaire was obtained for 848 patients. Rasch analysis showed good precision (person separation: 2.32, person reliability: 0.84), ordered category probability curves, no item misfit, and unidimensionality. The respondents were slightly more able than the level of item difficulty (targeting: −1.12 logits). Sensitivity was analysed on 211 paired questionnaires, and the postoperative questionnaires showed a clear ceiling effect. The effect size was 2.6. The use of an electronic notepad for completing the questionnaire worked out very well after some adjustments. Conclusions The French version of Catquest-9SF has good psychometric properties and is suitable for use in French-speaking patients. The use of the Catquest-9SF questionnaire in an electronic format showed good validity.


2015 ◽  
Vol 14 (2) ◽  
pp. 281-290 ◽  
Author(s):  
Jorge Castellá Sarriera ◽  
Ferran Casas ◽  
Lívia Maria Bedin ◽  
Daniel Abs ◽  
Bibiana Ramos Santos ◽  
...  

PLoS ONE ◽  
2019 ◽  
Vol 14 (1) ◽  
pp. e0210639 ◽  
Author(s):  
Caroline Novara ◽  
Julie Boiché ◽  
Cindy Lebrun ◽  
Alexandra Macgregor ◽  
Yohan Mateo ◽  
...  

2013 ◽  
Vol 7 (3) ◽  
pp. 278-285 ◽  
Author(s):  
Barry Adama ◽  
Calvet Benjamin ◽  
Clément Jean-Pierre ◽  
Druet-Cabanac Michel ◽  
Prado-Jean Annie

ABSTRACT Aggressive behaviour is the most disturbing and distressing behaviour displayed by elderly people. The prevalence of aggressive behaviour is around 50% among psychogeriatric patients. Objective: This study sought to analyze the psychometric properties and diagnostic accuracy of the French version of the Rating Scale for Aggressive Behaviour in the Elderly (F-RAGE). Methods: The F-RAGE was administered to 79 patients hospitalized in a geriatric psychiatry department. A psychiatrist, who was blind to the subjects' RAGE scores, performed the diagnosis for aggressivity based on global clinical impression. The F-RAGE and MMSE were applied by a trained researcher blind to subjects' clinical diagnoses while the Cohen-Mansfield Agitation Inventory and Neuropsychiatric Inventory were administered by medical and nursing staff. Internal consistency, reliability, cut-off points, sensitivity and specificity for F-RAGE were estimated. Results: F-RAGE showed satisfactory validity and reliability measurements. Regarding reliability, Cronbach's a coefficient was satisfactory with a value of 0.758. For diagnostic accuracy, a cut-off point of 8 points (sensitivity=74.19%; specificity=97.98%) and area under curve of 0.960 were estimated to distinguish between aggressive patients and control subjects. Discussion: F-RAGE showed acceptable psychometric properties, supported by evidence of validity and reliability for its use in the diagnosis of aggressive behaviour in elderly.


Author(s):  
Alexandre Heeren ◽  
Pierre Maurage ◽  
Mandy Rossignol ◽  
Morgane Vanhaelen ◽  
Virginie Peschard ◽  
...  

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