A typology of satisfaction with mental health services based on Andersen’s behavioral model

2018 ◽  
Vol 53 (6) ◽  
pp. 587-595 ◽  
Author(s):  
Marilyn Fortin ◽  
Zhirong Cao ◽  
Marie-Josée Fleury
2017 ◽  
Vol 63 (2) ◽  
pp. 103-114 ◽  
Author(s):  
Marilyn Fortin ◽  
Jean-Marie Bamvita ◽  
Marie-Josée Fleury

Objective: The purpose of this article was to assess the satisfaction of adult patients who received mental health services (MHS) in healthcare networks staffed by multidisciplinary professionals and offering a range of MHS, and to identify variables associated with patient satisfaction. Methods: This cross-sectional study included 325 patients with mental disorders (MDs) among 4 Quebec health service networks. Data were collected using 9 standardized instruments and participant medical records. A 3-factor conceptual framework (predisposing, enabling, and needs-related factors) based on Andersen’s Behavioral Model was used, integrating sociodemographic, clinical, needs-related, service utilization, social support, and quality-of-life (QOL) variables. An adjusted multiple linear regression model was performed. Results: The global mean score for patient satisfaction was 4.11 (minimum: 2.0; maximum: 5.0). Among the enabling factors, continuity of care, having a case manager, and help received from services were positively associated with patient satisfaction, whereas being hospitalized was negatively associated. Among the needs-related factors, the number of needs was negatively associated with satisfaction. Conclusions: Findings demonstrated higher levels of satisfaction among patients who received good continuity of care and well-managed, frequent services in relation to their needs. Dissatisfaction was higher for patients with serious unmet needs or those hospitalized, which underlines the importance of taking these particular variables into account in the interest of improving MHS delivery and patient recovery.


2016 ◽  
Vol 36 (1) ◽  
pp. 94-115 ◽  
Author(s):  
Soonhee Roh ◽  
Catherine E. Burnette ◽  
Kyoung Hag Lee ◽  
Yeon-Shim Lee ◽  
James I. Martin ◽  
...  

American Indian (AI) older adults are vulnerable to mental health disparities, yet very little is known about the factors associated with help-seeking for mental health services among them. The purpose of this study was to investigate the utility of Andersen’s Behavioral Model in explaining AI older adults’ help-seeking attitudes toward professional mental health services. Hierarchical regression analysis was used to examine predisposing, enabling, and need variables as predictors of help-seeking attitudes toward mental health services in a sample of 233 AI older adults from the Midwest. The model was found to have limited utility in the context of older AI help-seeking attitudes, as the proportion of explained variance was low. Gender, perceived stigma, social support, and physical health were significant predictors, whereas age, perceived mental health, and health insurance were not.


Crisis ◽  
1998 ◽  
Vol 19 (1) ◽  
pp. 4-5
Author(s):  
Mary Frances Seeley

1989 ◽  
Vol 44 (8) ◽  
pp. 1133-1137 ◽  
Author(s):  
Leonard Bickman ◽  
Paul R. Dokecki

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