Age differences in satisfaction with and perceived benefit from mental health services: results from the collaborative psychiatric epidemiology surveys

Ford, Katy L.; Bryant, Ami N.; Kim, Giyeon

doi:10.1002/gps.3889

Cited by 17 publications

(24 citation statements)

References 46 publications

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“…Despite all participants being identified as having co-occurring mental health and substance use disorders, psychological issues appear to impact older adult participants' length of stay more than young adults' stay, whose main predictors appear to be more related to substance use issues. These results support others' findings that older age has been found to be associated with higher levels of mental health service satisfaction as well as perceived benefit of mental health services (Ford, Bryant, & Giyeon, 2012). Psychological concerns may be of greater perceived importance to older adult participants and this needs to be considered in treatment planning and intervention.…”

Section: Discussionsupporting

confidence: 91%

Differences Between Older and Younger Adults in Residential Treatment for Co-Occurring Disorders

Morse

Watson

MacMaster

et al. 2014

Journal of Dual Diagnosis

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Section: Discussionsupporting

confidence: 91%

Differences Between Older and Younger Adults in Residential Treatment for Co-Occurring Disorders

Morse

Watson

MacMaster

et al. 2014

Journal of Dual Diagnosis

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“…2 In reality NHS Mental Health Trusts (the legal entities) may comprise several different hospitals and may provide community services in many different localities, but for convenience we refer to these all as hospitals. + Bjorngaard et al (2007Bjorngaard et al ( , 2012, Ford et al (2013), Raleigh et al (2007), Robillos et al (2014) and Rosenheck et al (1997) − Eytan et al (2004 Disability [none] + Desai et al (2005) Disability/medical comorbidities − Holcomb et al (1998) and Kilbourne et al (2006 + (Holcomb et al 1998) − Edlund et al (2003 and Kilbourne et al (2006) Eligibility requires patients to have received specialist care for a mental health condition and to be seen in the community during the sampling period. Excluded patients, according to the 2010 eligibility criteria, were those seen only once for an assessment, patients receiving drug and alcohol, learning disability, or specialist forensic services, current inpatients, and patients who only see their GP for their mental health condition.…”

Section: Datamentioning

confidence: 99%

“…We also included a number of hospital-level characteristics. Among patient characteristics reported in Table 1, we included the hospitals' ethnicity composition of survey respondents, allowing us to account for potential lower satisfaction experienced by minority ethnic groups (Boydell et al 2012;Ford et al 2013). Ethnicity data was only available as a hospital-level aggregate weighted by age and gender.…”

Section: Dependent Variable and Covariatesmentioning

confidence: 99%

Factors Associated with Patient Satisfaction of Community Mental Health Services: A Multilevel Approach

Stamboglis

Jacobs

2019

Community Ment Health J

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Community care is increasingly the mainstay of mental healthcare provision in many countries and patient satisfaction is an important barometer of quality of patient care. This paper explores the key factors associated with patient satisfaction with community mental health services in England and then compares providers’ performance on patient satisfaction. Our analysis is based on patient-level responses from the community mental health survey, which is run annually by the Care Quality Commission (CQC) for the years 2010 to 2013. We perform a repeated cross-section analysis, identifying factors associated with patient satisfaction via a multi-level ordered probit model, including both patient- and provider-level variables. We identify hospital-specific effects via empirical Bayes estimation. Our analysis identifies a number of novel results. First, patient characteristics such as older age, being employed, and being able to work, are associated with higher satisfaction, while being female is associated with lower satisfaction. Service contact length, time since last visit, condition severity and admission to a mental health institution, are all associated with lower satisfaction. Second, treatment type affects satisfaction, with patients receiving talking therapies or being prescribed medications being more satisfied. Third, care continuity and involvement, as proxied by having a care plan, is associated with higher satisfaction. Fourth, seeing a health professional closer to the community improves satisfaction, with patients seeing a community-psychiatric nurse, a social worker or a mental-health support worker being more satisfied. Finally, our study identifies the need for service integration, with patients experiencing financial, accommodation, or physical health needs being less satisfied. At a provider level, we find a negative association between the percentage of occupied beds and satisfaction. We further identify significant provider-specific effects after accounting for observable differences in patient and provider characteristics which suggests significant differences in provider quality of care.

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“…Previous findings from developed countries have yielded ambiguous results regarding the relationship between age and the quality of mental health services. For instance, whilst some studies concluded that adult age is inversely associated with increased satisfaction and access to services [55], others had contrary findings [56,57]. The differences in evidence from previous studies in developed countries could be attributed to the differences in the health care systems and individual demographics of the population.…”

Section: Plos Onementioning

confidence: 94%

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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Age differences in satisfaction with and perceived benefit from mental health services: results from the collaborative psychiatric epidemiology surveys

Cited by 17 publications

References 46 publications

Differences Between Older and Younger Adults in Residential Treatment for Co-Occurring Disorders

Differences Between Older and Younger Adults in Residential Treatment for Co-Occurring Disorders

Factors Associated with Patient Satisfaction of Community Mental Health Services: A Multilevel Approach

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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