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

PLoS ONE ◽  
2020 ◽  
Vol 15 (5) ◽  
pp. e0233351
Author(s):  
Eric Badu ◽  
Anthony Paul O’Brien ◽  
Rebecca Mitchell ◽  
Akwasi Osei
Keyword(s):  
Mental Health ◽  
Mental Health Services ◽  
Health Services ◽  
Health System ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
System Structure ◽  
Moderation Effects ◽  
Equation Modelling

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.

scholarly journals THU0632-HPR DETERMINANTS OF HAPPINESS AND QUALITY OF LIFE IN PEOPLE WITH SYSTEMIC SCLEROSIS: A STRUCTURAL EQUATION MODELLING APPROACH

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 561.1-561
Author(s):  
T. Santiago ◽  
E. Santos ◽  
A. C. Duarte ◽  
P. Martins ◽  
M. Sousa ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Systemic Sclerosis ◽  
Disease Activity ◽  
Personality Traits ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Effective Control ◽  
Equation Modelling ◽  
Disease Impact

Background:In recent years more attention has been given to patients reported outcomes (PROs). Systemic sclerosis (SSc) is no exception. As there is no effective treatment or cure to SSc, it is important to recognize the relevance to patients of the different features of the disease to improve quality and enjoyment of life: the ultimate targets of therapy. Remarkably lacking in PROs is the evaluation of the overall perspective of subjective well being, equivalent to ‘happiness’ or “positive psychological dimensions”.Objectives:To examine the determinants of happiness and quality of life (QoL) in patients with SSc with emphasis on disease activity, disease impact and personality traits.Methods:This is an observational, cross-sectional and multicenter study from six rheumatology clinics in Portugal. A total of 113 patients with SSc with a complete set of data on disease activity, disease impact, personality, quality of life and happiness were included.Structural equation modelling (latent variable structural model) was used to estimate the association between the variables using a maximum likelihood estimation with Satorra-Bentler’s correction and performed with STATA® 15.0. Two hypotheses were pursued: H1 – Disease activity and impact of disease are negatively associated to overall QoL and happiness; H2 – ‘Positive’ personality traits are related to happiness both directly and indirectly through perceived disease impact.Results:Results obtained in the structural equation measurement model indicated a good fit [χ2/df=1.44; CFI=0.93; TLI=0.90; RMSEA=0.06] and supported all driving hypotheses (Figure 1). Happiness was positively related to ‘positive’ personality (β=0.45, p=0.01) and, to a lesser extent, negatively related with impact of disease (β=-0.32; p=0.01). This impact, in turn, was positively related to EUSTAR activity score (β=0.37; p<0.001) and mitigated by ‘positive’ personality traits (β=-0.57; p<0.001). Impact of disease had a much stronger relation with QoL than with happiness (β=-0.78, p<0.001). Quality of life and happiness had no statistically significant relationship.Conclusion:Optimization of Qol and happiness in people with SSc requires effective control of the disease process. Personality and its effects upon the patient´s perception of the disease impact, seems to play a pivotal mediating role in these relations and should deserve paramount attention if happiness and enjoyment of life is taken as the ultimate goal of health care.Disclosure of Interests:Tânia Santiago: None declared, Eduardo Santos: None declared, Ana Catarina Duarte: None declared, Patrícia Martins: None declared, Marlene Sousa: None declared, Franscisca Guimarães: None declared, Soraia Azevedo: None declared, Raquel Ferreira: None declared, Miguel Guerra: None declared, Ana Cordeiro Consultant of: Ana Cordeiro has acted as a consultant for Roche, Speakers bureau: Ana Cordeiro has received speaker fees from Boehringer Ingelheim, Lilly, and Vitoria, Inês Cordeiro: None declared, Sofia Pimenta: None declared, Patrícia Pinto: None declared, Maria Joao Salvador: None declared, José Antonio P. da Silva Grant/research support from: Pfizer, Abbvie, Consultant of: Pfizer, AbbVie, Roche, Lilly, Novartis

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 Work-life balance amongst dental professionals during the COVID-19 pandemic—A structural equation modelling approach

PLoS ONE ◽  
2021 ◽  
Vol 16 (8) ◽  
pp. e0256663
Author(s):  
Swathi Pai ◽  
Vathsala Patil ◽  
Rajashree Kamath ◽  
Mansi Mahendra ◽  
Deepak Kumar Singhal ◽  
...  
Keyword(s):  
Mental Health ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Work Life ◽  
Work Life Balance ◽  
Relationship Status ◽  
Physical And Mental Health ◽  
Life Balance ◽  
Equation Modelling ◽  
Dental Professionals

Background The Coronavirus disease (COVID-19) outbreak in 2019, has shocked the entire world. As an effort to control the disease spread, the Indian government declared a nationwide lockdown on March 25th, 2020. As dental treatment was considered high risk in the spread of COVID-19, dentistry became one of the most vulnerable professions during this time. Dental professionals had to face job layoffs, salary cuts in professional colleges, closure of private clinics resulting in huge psychological, moral, and financial crises. Studies during the previous and present pandemics have shown mental issues among health care workers necessitating institutional reforms, along with early care and support. A balance in the work-life amongst professionals is the key to better efficiency and, was majorly affected during the COVID-19 pandemic lockdown due to sudden unexpected changes. Hence this study was conducted to understand the changes they underwent both at home and professional front with a hypothesis that physical and mental health, activities, relationship status, and workplace influence the work-life balance. Methods A pre-validated questionnaire survey was done on dentists across India. Structural Equation Modelling and path analysis were applied to the data collected. Results The results of the study supported the hypothesis that factors like physical and mental health, activities, relationship status, and workplace influenced the work-life balance directly. A significant imbalance was seen amongst the female dentists. Conclusion The present study proved the unpreparedness among dental professionals. Hence an evolutionary phase in every field with better working protocols, robust mental health support, and a focus on strategies to face future such emergencies is required.

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