| Title |
Collaborative transdisciplinary team approach for dementia care
|
|---|---|
| Published in |
Neurodegenerative Disease Management, December 2014
|
| DOI | 10.2217/nmt.14.47 |
| Pubmed ID | |
| Authors | |
| Abstract |
SUMMARY Alzheimer's disease (AD) has high economic impact and places significant burden on patients, caregivers, providers and healthcare delivery systems, fostering the need for an evaluation of alternative approaches to healthcare delivery for dementia. Collaborative care models are team-based, multicomponent interventions that provide a pragmatic strategy to deliver integrated healthcare to patients and families across a wide range of populations and clinical settings. Healthcare reform and national plans for AD goals to integrate quality care, health promotion and preventive services, and reduce the impact of disease on patients and families reinforcing the need for a system-level evaluation of how to best meet the needs of patients and families. We review collaborative care models for AD and offer evidence for improved patient- and family-centered outcomes, quality indicators of care and potential cost savings. |
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X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 50% |
| Australia | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 2 | 50% |
| Members of the public | 1 | 25% |
| Scientists | 1 | 25% |
Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 242 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 35 | 14% |
| Student > Bachelor | 34 | 14% |
| Student > Ph. D. Student | 21 | 9% |
| Researcher | 20 | 8% |
| Other | 17 | 7% |
| Other | 42 | 17% |
| Unknown | 73 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 46 | 19% |
| Nursing and Health Professions | 46 | 19% |
| Psychology | 21 | 9% |
| Social Sciences | 13 | 5% |
| Neuroscience | 9 | 4% |
| Other | 31 | 13% |
| Unknown | 76 | 31% |