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| Home > Publications database > Qualitative analytics from stakeholder perspective describes the biopsychosocial model for patient-centred approach to managing psychiatric ailments |
| Home > Publications database > Qualitative analytics from stakeholder perspective describes the biopsychosocial model for patient-centred approach to managing psychiatric ailments |
| Journal Article | FZJ-2025-03250 |
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2025
Elsevier
Amsterdam
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Please use a persistent id in citations: doi:10.1016/j.jadr.2025.100893 doi:10.34734/FZJ-2025-03250
Abstract: Chronic mental illnesses (CMIs) such as schizophrenia, schizoaffective disorder, bipolar disorder, major depressive disorders, to name a few are psychiatric disorders poses significant burden to both patients and healthcare systems. The public policy and management of such complex set of spectral disorders often includes procedures and regulations, pharmacological treatments, sychotherapy, and social support. However, these approaches frequently fail to fully address patient requirements, leading to inadequate care and poor outcomes. Therefore, by conducting interviews and synthesizing insights from various stakeholders, including clinicians, researchers, and healthcare professionals, the study investigates the multi-dimensional challenges in CMI management. This report of qualitative analysis explores a patient-centric approach towards three main themes in managing CMIs such as, tasks related to diagnosis, challenges with current procedures, and expectations from newer diagnostic methodologies. Key themes emerged revolving around requirements for emotional care, trust, complexity, and the integration of technology in treatment. Our findings highlight the need for personalized care strategies that encompass biological, psychological, and social dimensions with emphasis on effective communication and resource management. The study underscores the potential of a holistic, patient-centred framework, which serendipitously parallels George Engel’s biopsychosocial model to improve outcomes and address the multifaceted nature of spectral psychiatric disorders. In the light of newer emerging technologies and the demands for psychometric intervention, perhaps, we suggest revisiting the model for a comprehensive approach in policy-making, health care management and patient-centric support to address these challenges effectively.
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