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ED/hospital program contributions to community multi-disciplinary team meetings: Different models
E-Shien Chang1, Elizabeth M Bloemen2, Sarah Tietz2
1Division of Geriatrics and Palliative Medicine, Weill Cornell Medical College/NewYork-Presbyterian Hospital, New York, USA.
Multi-disciplinary teams (MDTs) improve elder mistreatment (EM) response, but hospital engagement is challenging. This study compared two hospital-based teams, finding commonalities alongside significant variations in MDT structure and function.
Area of Science:
- Gerontology
- Public Health
- Social Work
Background:
- Elder mistreatment (EM) is a significant public health issue requiring interdisciplinary collaboration.
- Community-based multi-disciplinary teams (MDTs) are crucial for addressing EM identification, intervention, and prevention.
- Engaging hospital-based professionals in MDTs presents unique challenges.
Purpose of the Study:
- To explore similarities and differences between two community-based MDTs that include hospital-based response teams.
- To understand the role and impact of Emergency Department (ED)/hospital-based response teams within MDTs for elder mistreatment cases.
Main Methods:
- Comparative case study of two communities with newly established ED/hospital-based response teams participating in MDTs.
- Analysis of MDT structures, functions, and the specific roles of the hospital-based teams.
Main Results:
- Both MDTs demonstrated core common features in their approach to elder mistreatment.
- Significant variations were observed, influenced by local circumstances, MDT development, resources, and the hospital program's role.
- The integration and function of hospital-based teams within MDTs varied considerably.
Conclusions:
- Hospital-based teams can enhance MDT effectiveness in addressing elder mistreatment.
- Tailoring MDT models to community-specific contexts and resources is essential for successful implementation.
- Further research is needed to optimize the integration of hospital professionals into elder mistreatment response networks.
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