Une validation québécoise du Satisfaction with Life Domains Scale

Caron, Jean; Mercier, Céline; Tempier, Raymond

doi:10.7202/032422ar

Cited by 47 publications

(34 citation statements)

References 29 publications

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“…27 Recovery-orientation of services was evaluated with the Recovery Self-Assessment Scale, revised person-in-recovery version (RSA-R-PIR, 32 items, five Likert-scale response levels, Cronbach alpha a = 0.94). 28 Outcomes were evaluated with two standardised instruments: QoL was assessed with the Satisfaction with Life Domains Scale (SLDS, 20 items, seven Likert-scale response levels, Cronbach's a = 0.92); 29 personal recovery was assessed with the Recovery Assessment Scale (RAS, 41 items, five Likert-scale response levels, Cronbach's a = 0.76-0.97). 30…”

Section: Methodsmentioning

confidence: 99%

Mediation analysis of severity of needs, service performance and outcomes for patients with mental disorders

2016

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Section: Methodsmentioning

confidence: 99%

Mediation analysis of severity of needs, service performance and outcomes for patients with mental disorders

2016

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“…Data were collected from seven questionnaires, administered in either English or French, and from participants’ medical records at the MHUI. SQOL was assessed with the modified version of the Satisfaction with Life Domains Scale (SLDS), initially developed by Baker and Intagliata [ 4 ], translated into French and validated by Caron et al [ 57 ]. Like other instruments such as the Lancashire Quality of Life Profile [ 58 ], the Quality of Life Interview Scale [ 59 ] or the Wisconsin Quality of Life Index [ 60 ], the SLDS is an expert-reported scale designed specifically for individuals with chronic mental disorders [ 3 ].…”

Section: Methodsmentioning

confidence: 99%

Predictive typology of subjective quality of life among participants with severe mental disorders after a five-year follow-up: a longitudinal two-step cluster analysis

Fleury

Grenier

Bamvita

2015

Health Qual Life Outcomes

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BackgroundThis study aims to create a predictive typology of quality of life at five-year follow-up of 204 individuals with severe mental disorders, according to clinical, socio-demographic, and health service use variables.MethodsParticipant typology was carried out by means of two-step cluster analysis. Independent variables were measured at T0 and subjective quality of life (SQOL) at T2.ResultsAnalysis yielded four classes. SQOL at T2 was higher than the mean in Class 4 (“Older, poorly educated single men living in supervised housing, with psychotic disorders but with few serious needs, receiving substantial help from services”) and lower than the mean in Class 2 (“Young females with serious needs and co-occurring mental and addiction disorders living in independent apartments”).ConclusionGiven that predictive SQOL varies in relation to combinations of associated variables, it would be useful for treatments or service programs to target specific predictors to the different profiles.

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“…SQOL was measured with the modified version of the Satisfaction with Life Domains Scale (SLDS), initially developed by Baker and Intagliata [6], and translated in French and validated (Cronbach Alpha = 0.92) by Caron et al [60]. The SLSD assesses satisfaction regarding 20 life domains.…”

Section: Methodsmentioning

confidence: 99%

Predictors of quality of life in a longitudinal study of users with severe mental disorders

Fleury

Grenier

Bamvita

et al. 2013

Health Qual Life Outcomes

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BackgroundSince the end of the 20th century, quality of life has become a key outcome indicator in planning and evaluation of health services. From a sample of 297 users with severe mental disorders from Montreal (Canada), this study aimed to identify the key predictors of subjective quality of life (SQOL).MethodsUsers were recruited and interviewed from December 2008 to September 2010 and re-interviewed approximately 18 months later. A comprehensive framework including socio-demographic data, clinical, needs and functionality variables, negative life events, social support and healthcare service use, and appreciation data were considered as predictors. Clinical records and eight standardized instruments were used.ResultsLower severity of needs, schizophrenia, better social integration, better reassurance of worth, fewer drug abuse problems, and living in supervised housing are predictors of SQOL. With regard to needs, absence or lower severity of needs in the areas of company, daytime activities, social exclusion, safety to self, and benefits are linked to SQOL.ConclusionReducing the severity of needs is especially beneficial to ensure a higher SQOL for users with severe mental disorders. To improve SQOL, priority must be given to programs and interventions that promote the development of a stimulating and supportive social network, and maintain a plurality of residential services matching the functional abilities of users.

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Une validation québécoise du Satisfaction with Life Domains Scale

Abstract: Le rôle des hôpitaux psychiatriques Volume 22, numéro 2, automne 1997 URI : id.erudit.org/iderudit/032422ar

Cited by 47 publications

References 29 publications

Mediation analysis of severity of needs, service performance and outcomes for patients with mental disorders

Mediation analysis of severity of needs, service performance and outcomes for patients with mental disorders

Predictive typology of subjective quality of life among participants with severe mental disorders after a five-year follow-up: a longitudinal two-step cluster analysis

Predictors of quality of life in a longitudinal study of users with severe mental disorders

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