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Record W102190646

[French validation of the Verona Service Satisfaction Scale-VSSS-54F].

2003· article· en· W102190646 on OpenAlexaff
Marc Corbière, Alain Lesage, Sylvie Lauzon, N Ricard, Daniel Reinharz

Bibliographic record

VenuePubMed · 2003
Typearticle
Languageen
FieldHealth Professions
TopicPatient Satisfaction in Healthcare
Canadian institutionsSt. Paul's Hospital
Fundersnot available
KeywordsPsychological interventionScale (ratio)Cronbach's alphaService (business)Dimension (graph theory)PsychologyFactorial analysisCustomer satisfactionClinical psychologyPsychometricsPsychiatryBusinessMathematicsMarketingStatisticsGeography
DOInot available

Abstract

fetched live from OpenAlex

INTRODUCTION: The Verona Service Satisfaction Scale-French version (13) was translated and adapted from the Italian version of Verona Service Satisfaction Scale (27). The VSSS makes it possible to evaluate the satisfaction of people with serious mental illness with respect to the services. The original VSSS-54 contained 7 dimensions: 1) Overall satisfaction, 2) Professionals' skills and behaviour, 3) Information, 4) Access to services, 5) Services efficacy, 6) Relatives' involvement and 7) Types of interventions. According to factorial analyses carried out by Ruggeri et al., the dimensions Information and Access to services were aggregated. However, no factorial analysis was carried out in order to verify the six dimension-structure of the VSSS. From an international perspective, the study entitled "The European Psychiatric Services: Inputs linked to Outcome Domains and Needs (EPSILON)" achieved the standardisation of different questionnaires in several languages (2). A new version of the VSSS entitled "Verona Service Satisfaction Scale-European version" (VSSS-EU) was developed and is now available in the following languages: Italian, Danish, German, English and Spanish. In order to compare in different countries the satisfaction of people with serious mental illness with respect to services, we undertook from 1998 to ascertain the psychometrical properties of the French version of the VSSS. (13). Confirmatory Factorial Analysis (CFA) was carried out on the six dimension-structure of the VSSS-54F: 1) Overall satisfaction, 2) Professionals' skills and behaviour, 3) Information and Access to services, 4) Services efficacy, 5) Relatives involvement and 6) Types of interventions. For each dimension, consistency analysis (Cronbach's alpha) was computed in order to bring forth additional psychometrical properties of the VSSS-54F. PARTICIPANTS: 150 clients involved in an intensive case management program and supported by 30 mental health workers, filled out the VSSS-54F questionnaire. These clients were comprised of 110 women and 40 men, their ages ranging from 22 to 90 years (M = 51.7, SD = 14.7). Among them, 65 (43.3%) had a diagnosis of schizophrenia or another form of psychosis, 56 (37.3%) had an affective disorder, 17 (11.3%) had anxious disorders and 7 (7.7%) other. DATA ANALYSES: Using the EQS Software (3), Confirmatory Factor Analyses (CFA) were carried out in this study. Thus, 'the evaluation of the models' fit with the empirical data was carried out by taking into account various statistical indices. In addition to the Chi square/df ratio, the indices of adjustment such as the "NonNormed Fit Index" (NNFI), the Comparative Fit Index (CFI), robust CFI (calculated starting from the Satorra-Bentler Chi Square) as well as the RMSEA (Root Mean Standard Error of Approximation) were used to measure the fit of the models. Moreover, the estimation method "Maximum Likelihood-Robust" was carried out in order to evaluate the models. RESULTS: The original model with 6 dimensions (M1) does not present satisfactory fit indices. Indeed, the Chi Square/df ratio is above 2, the NNFI, CFI and CFI robust indices are lower than. 90 and the RMSEA is higher than. 08. Most items from Types of intervention dimension presented saturation lower than.30, and consequently indicate that these items are not correlated significantly with their dimension. We notice also some correlations between error terms of the three items of Overall Satisfaction scale and other items of the VSSS questionnaire. Considering these last results and the direction taken in VSSS-EU by breaking down by profession items of Professionals' skills and behaviour scale, we obtained a new model (M2). The five dimensions of this model are as follow: 1) Psychiatrists/Psychologists' skills and behaviour (7 items), 2) Nursing staff/social workers' skills and behaviour (7 items), 3) Information and access to services (3 items), 4) Services efficacy (5 items), 5) Relatives' involvement (3 items). When we test this model, the fit indices are satisfactory: the Chi Square/df is 1.36, the NNFI, CFI and robust CFI indices are near or higher than 0.90, respectively 0.88, 0.89 and 0.94. Finally, the RMSEA index is 0.08. In addition, the correlations between five dimensions are significant and vary from 0.58 to 0.87 (p < 0.05). The internal consistency coefficients for each new scale are all satisfactory, and vary from .83 to .91, except for the Information and access to services scales. But this latter finding shall be evaluated knowing that acceptable alpha can be close to .60 when scales count less than four items (16). CONCLUSION: This study confirms with some adjustments the factorial structure of the VSSS. The results indicate five dimensions (25 items): Psychiatrists/Psychologists' skills and behaviour, Nursing staff/social workers' skills and behaviour, Information and access to services, Services efficacy, Relatives' involvement. Even if the Type of interventions dimension was not retained in the model, we suggest preserving it for eventual clinical evaluation based on each item. We also suggest, for future studies, the adaptation of the VSSS-54F to the European version, VSSS-EU. Indeed, the results of our study sustain the European version because the VSSS-EU is more focused since it separates the skills and behaviour of psychiatrists, psychologists, nurses and social workers (e.g. items 3a and 3b or items 22a and 22b). The next step in the validation process would be to measure Inter-rater and test-retest reliability as well as concurrent, convergent and discriminant validity of the VSSS-EU. Furthermore, a multicultural comparison of the VSSS-EU would be required if the instrument is used for interesting comparisons of survey.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.088
GPT teacher head0.358
Teacher spread0.269 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations8
Published2003
Admission routes1
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