Scales for assessing patient satisfaction with mental health care: A systematic review

Miglietta, Elisabetta; Belessiotis-Richards, Clara; Ruggeri, Mirella; Priebe, Stefan

doi:10.1016/j.jpsychires.2018.02.014

Cited by 71 publications

(73 citation statements)

References 65 publications

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“…The three items of the CSQ are the main items for measuring overall satisfaction of health and human services and is frequently used as one measure among a battery of other instruments. The CSQ shows good reliability and validity and is used across a range of services, from inpatient to forensic services, without a specific setting of care [31] and internet-based interventions [32]. Each item on the CSQ-3 is scored from 1 (low satisfaction) to 4 (high satisfaction).…”

Section: Csq-3 Questionnairementioning

confidence: 99%

Dimensionality of the system usability scale among professionals using internet-based interventions for depression: a confirmatory factor analysis

et al. 2020

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Background: The System Usability Scale (SUS) is used to measure usability of internet-based Cognitive Behavioural Therapy (iCBT). However, whether the SUS is a valid instrument to measure usability in this context is unclear. The aim of this study is to assess the factor structure of the SUS, measuring usability of iCBT for depression in a sample of professionals. In addition, the psychometric properties (reliability, convergent validity) of the SUS were tested. Methods: A sample of 242 professionals using iCBT for depression from 6 European countries completed the SUS. Confirmatory Factor Analysis (CFA) was conducted to test whether a one-factor, two-factor, tone-model or bi-direct model would fit the data best. Reliability was assessed using complementary statistical indices (e.g. omega). To assess convergent validity, the SUS total score was correlated with an adapted Client Satisfaction Questionnaire (CSQ-3). Results: CFA supported the one-factor, two-factor and tone-model, but the bi-factor model fitted the data best (Comparative Fit Index = 0.992, Tucker Lewis Index = 0.985, Root Mean Square Error of Approximation = 0.055, Standardized Root Mean Square Residual = 0.042 (respectively χ 2 diff (9) = 69.82, p < 0.001; χ 2 diff (8) = 33.04, p < 0.001). Reliability of the SUS was good (ω = 0.91). The total SUS score correlated moderately with the CSQ-3 (CSQ1 r s = .49, p < 0.001; CSQ2 r s = .46, p < 0.001; CSQ3 r s = .38, p < 0.001), indicating convergent validity. Conclusions: Although the SUS seems to have a multidimensional structure, the best model showed that the total sumscore of the SUS appears to be a valid and interpretable measure to assess the usability of internet-based interventions when used by professionals in mental healthcare.

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Section: Csq-3 Questionnairementioning

confidence: 99%

Dimensionality of the system usability scale among professionals using internet-based interventions for depression: a confirmatory factor analysis

et al. 2020

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“…Since the 1960s, numerous scales have been used to measure patient satisfaction with mental health care, also termed treatment satisfaction, service satisfaction or consumer satisfaction. A recent systematic review indicates that scales vary significantly in their structure, length, focus and quality. There is no consensus on how exactly patient satisfaction should be measured and, across scales, patients are asked to rate their satisfaction with 19 different aspects of care.…”

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confidence: 99%

Assessment and determinants of patient satisfaction with mental health care

Priebe

Miglietta

2019

World Psychiatry

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“…The VSSS-54 instrument is a validated, multidimensional scale used to measure the quality of mental health services from consumer perspectives [32][33][34]. The instrument is designed to assess the quality of mental health services delivered by a multidisciplinary team of psychiatrists, psychologists, social workers and nurses.…”

Section: Measures Intermediate Verona Service Satisfaction Scale (Vssmentioning

confidence: 99%

Mediation and moderation effects of health system structure and process on the quality of mental health services in Ghana – structural equation modelling.

Badu¹,

O’Brien²,

Mitchell³

et al. 2020

PLoS ONE

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Introduction Incorporating consumers' perspectives into the quality of mental health service measurement is a growing priority among mental health professionals' and policymakers. Despite this, there is limited empirical evidence related to consumer perspectives of quality of mental health services. This study, therefore, aims to measure the mediation and moderation effects of health system structure and process on mental health quality in Ghana. Methods A random sample of 510 consumers were recruited to complete the Verona Satisfaction Scale (54-items), together with the WHO Disability Assessment Instrument (36 items) using the Redcap application. Confirmatory factor analysis (CFA) and Structural Equation Modelling were used to test the hypothesised theory using STATA 15. Results The CFA showed that the hypothesised model had a good fit to the data. The findings confirmed the hypothesis that the process constructs mediate the relationship between the health system structure and the outcome of mental health services. Specifically, the health system structure had a positive and significant causal relationship with the mediator-process (β = 0.60; p<0.01) and outcome (β = 0.47; p<0.01). Additionally, the mediator-process had a positive causal relationship with the outcome of the mental health services (β = 0.32; p<0.01). Insurance status (β = 0.07; p>0.05) and type of services (β = 0.025; p>0.05) had a positive moderating effect on the relationship between health system structure and outcome but were not significant.

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Scales for assessing patient satisfaction with mental health care: A systematic review

Cited by 71 publications

References 65 publications

Dimensionality of the system usability scale among professionals using internet-based interventions for depression: a confirmatory factor analysis

Dimensionality of the system usability scale among professionals using internet-based interventions for depression: a confirmatory factor analysis

Assessment and determinants of patient satisfaction with mental health care

Mediation and moderation effects of health system structure and process on the quality of mental health services in Ghana – structural equation modelling.

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