Factors associated with the quality of mental health services and consumers' functionality using tertiary‐based services

2021 ◽  
Author(s):  
Eric Badu ◽  
Anthony P. O'Brien ◽  
Rebecca Mitchell ◽  
Akwasi Osei
Keyword(s):  
Mental Health ◽  
Mental Health Services ◽  
Health Services ◽  
Factors Associated

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

2019 ◽  
Vol 56 (1) ◽  
pp. 50-64 ◽  
Author(s):  
Niccolò Stamboglis ◽  
Rowena Jacobs
Keyword(s):  
Mental Health ◽  
Patient Satisfaction ◽  
Mental Health Services ◽  
Community Mental Health ◽  
Health Services ◽  
Community Mental Health Services ◽  
Bayes Estimation ◽  
Factors Associated ◽  
Specific Effects

Abstract 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.

scholarly journals Factors associated with experienced discrimination among people using mental health services in England

2016 ◽  
Vol 25 (4) ◽  
pp. 350-358 ◽  
Author(s):  
S. Hamilton ◽  
E. Corker ◽  
C. Weeks ◽  
P. Williams ◽  
C. Henderson ◽  
...  
Keyword(s):  
Mental Health ◽  
Mental Health Services ◽  
Health Services ◽  
Factors Associated

scholarly journals Understanding barriers to accessing mental health services for newcomers to Canada using Peterborough, Ontario, as an illustrative example

2021 ◽  
Author(s):  
Nurun Layla Chowdhury
Keyword(s):  
Mental Health ◽  
Mental Health Services ◽  
Health Services ◽  
Help Seeking ◽  
Mental Healthcare ◽  
Healthcare Services ◽  
Mental Illnesses ◽  
Cultural Barriers ◽  
Accurate Information

The quality of an individual’s mental health has a significant impact on their quality of life, as well as on the cost to society. Regular access to mental health services can help mitigate the risk factors of developing mental illnesses. This paper examines barriers to accessing mental health services, using the community of Peterborough, Ontario, as an example. Social, economic, and cultural barriers impact help-seeking amongst immigrants, putting them at a higher risk of developing mental disorders. The social determinants of mental health can be useful when developing policies aimed at improving utilization of mental healthcare services. Policy makers need to first focus on collecting accurate information on the population, and then developing targeted solutions to eliminate barriers such as language and employment that prevent help-seeking in immigrants.

scholarly journals Causal Modelling for Supporting Planning and Management of Mental Health Services and Systems: A Systematic Review.

2019 ◽  
Vol 16 (3) ◽  
pp. 332 ◽  
Author(s):  
Nerea Almeda ◽  
Carlos R. García-Alonso ◽  
José A. Salinas-Pérez ◽  
Mencía R. Gutiérrez-Colosía ◽  
Luis Salvador-Carulla
Keyword(s):  
Mental Health ◽  
Decision Making ◽  
Mental Health Services ◽  
Health Services ◽  
Policy Making ◽  
Structural Equation ◽  
Target Population ◽  
Performance Factors ◽  
Causal Modelling

Mental health services and systems (MHSS) are characterized by their complexity. Causal modelling is a tool for decision-making based on identifying critical variables and their causal relationships. In the last two decades, great efforts have been made to provide integrated and balanced mental health care, but there is no a clear systematization of causal links among MHSS variables. This study aims to review the empirical background of causal modelling applications (Bayesian networks and structural equation modelling) for MHSS management. The study followed the PRISMA guidelines (PROSPERO: CRD42018102518). The quality of the studies was assessed by using a new checklist based on MHSS structure, target population, resources, outcomes, and methodology. Seven out of 1847 studies fulfilled the inclusion criteria. After the review, the selected papers showed very different objectives and subjects of study. This finding seems to indicate that causal modelling has potential to be relevant for decision-making. The main findings provided information about the complexity of the analyzed systems, distinguishing whether they analyzed a single MHSS or a group of MHSSs. The discriminative power of the checklist for quality assessment was evaluated, with positive results. This review identified relevant strategies for policy-making. Causal modelling can be used for better understanding the MHSS behavior, identifying service performance factors, and improving evidence-informed policy-making.

Systematic review of youth mental health service integration research

2016 ◽  
Vol 22 (4) ◽  
pp. 304 ◽  
Author(s):  
Irina Kinchin ◽  
Komla Tsey ◽  
Marion Heyeres ◽  
Yvonne Cadet-James
Keyword(s):  
Mental Health ◽  
Mental Health Service ◽  
Mental Health Services ◽  
Health Service ◽  
Health Services ◽  
Methodological Quality ◽  
Service Integration ◽  
Youth Mental Health ◽  
Inclusion Criteria

Quality mental health care is based on the integration of care across organisations and disciplines. The aims of this study were, first, to assess the extent, characteristics and reported outcomes of publications concerned with youth mental health service integration in Australia and internationally; and second, to investigate the study design quality of evaluative interventions and determine whether the studies report on the cost-effectiveness of the integration in order to inform the reform of youth mental health services by Queensland Health. A systematic search of the peer-reviewed literature and a narrative synthesis were undertaken of English language publications from 21 electronic databases. Inclusion criteria were: published 1998–2014 (inclusive); peer-reviewed research; focused on mental health services integration; reported data for youth aged 12–25 years. The methodological quality of evaluative interventions was assessed using the Quality Assessment Tool for Quantitative Studies developed by the Effective Public Health Practice Project (EPHPP). Twenty-five studies met the inclusion criteria: one (4%) was classified as a measurement research, 13 (52%) as descriptive, and 11 (44%) as interventions including five (45%) evaluative interventions. Four out of the five evaluative interventions reported positive effects of youth mental health service integration. Particular problems included ambiguity of definitions, absence of economic or cost analyses and insufficient consumer involvement. The methodological quality of the interventions was variable with, on average, a moderate level of selection bias and study design. Despite a slight increase in the number of studies in the last couple of years, there are important gaps in the evidence base for youth mental health service integration processes. The relatively small number of evaluative studies and lack of economic evaluations point to the need for additional research in this important area.

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