Literature DB >> 27788380

Mental health service use among those with depression: an exploration using Andersen's Behavioral Model of Health Service Use.

Annette Graham1, Penelope Hasking2, Joanne Brooker3, David Clarke4, Graham Meadows5.   

Abstract

BACKGROUND: Despite positive effects on prognosis, less than half of the people diagnosed with depression access mental health services. Knowledge of what promotes such service use is limited. There is dispute about whether the receipt of mental illness related information encourages or discourages service use among those with depression. Accurate service use models are needed to inform programs designed to facilitate service use by those who would benefit most. We examine the appropriateness of Andersen's Behavioral Model of Health Service Use in this context.
METHOD: Data from 451 adults identified through the Australian National Survey of Mental Health and Wellbeing as meeting International Classification of Diseases Ten (ICD-10) criteria for depression were used.
RESULTS: Confirmatory factor analysis failed to verify Andersen's model. Thus, an empirically derived service use model was developed using exploratory factor analysis and then structural equation modelling. Mental health need was the strongest predictor of service use and the model suggested the importance of social connectedness in promoting service use. Participants who had received helpful mental illness information were significantly more likely to have accessed mental health services than those who had not. LIMITATIONS: The cross-sectional design and lack of replication preclude definitive conclusions
CONCLUSION: Andersen's model is a useful starting point for the exploration of service use among people with depression. It is necessary, however, to develop specific models for this population.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Andersen's Behavioral Model of Health Service Use; Depression; National Survey; Service use

Mesh:

Year:  2016        PMID: 27788380     DOI: 10.1016/j.jad.2016.08.074

Source DB:  PubMed          Journal:  J Affect Disord        ISSN: 0165-0327            Impact factor:   4.839


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