What are the barriers to MCMD implementation?
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Barriers to implementation of Multidisciplinary Care Models (MCMD) include various factors across different healthcare contexts. Patient perspectives reveal concerns about mental health stigma, uncertainty about insurance coverage, and preference for treatment without medication . In the chronic kidney disease population, barriers encompass clinical inertia, low awareness, suboptimal education, and fragmented care . Academic Medical Centers face challenges in adopting Predictive Modeling and Machine Learning (PM and ML) due to cultural, financial, and technological barriers . Additionally, barriers to Modular Construction (MC) adoption in the construction sector involve overcoming MC adoption barriers (MCABs) such as lack of awareness and resistance to change . Addressing these barriers through tailored strategies is crucial for successful implementation of MCMD across various sectors.
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| Papers (5) | Insight |
|---|---|
1 Citations | Barriers to Modular Construction (MC) implementation include factors hindering adoption in developing nations, impacting sustainable success in residential projects, as identified in the study. |
| Barriers to Collaborative Care Model for Depression (CoCM) implementation include mental health stigma, unclear program information, preference for non-medication treatment, and prioritizing physical health over mental health. | |
| Barriers to implementing new guideline-directed therapies for chronic kidney disease include clinical inertia, low awareness, lack of education, polypharmacy, disparities, and high drug prices. | |
| Barriers to Multidisciplinary Care in Chronic Kidney Disease (MCMD) implementation include issues related to the Consolidated Framework for Implementation Research's five domains, as discussed in the narrative review. | |
10 Apr 2020 33 Citations | Barriers to predictive modeling and machine learning (PM and ML) implementation in clinical care include culture, clinical utility, financing, technology, and data challenges, as identified in US academic medical centers. |
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