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Developing an Evidence based Interdisciplinary Fall Reduction Program Jennifer Smith OUR 598 June 15, 2012, NASA McKenzieAbstractThe purpose of this study is support the hospitals' commitment to providing
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How to fill out developing an evidence-based interdisciplinary

01
Start by clearly defining your research question or problem that requires an evidence-based interdisciplinary approach.
02
Gather relevant literature and research studies from various disciplines that are related to your research question.
03
Identify the key theories, concepts, and methods from each discipline that can be applied to your research question.
04
Analyze and synthesize the information from the different disciplines to develop an integrated framework or approach for your research.
05
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Implement your research plan by collecting data from multiple sources and applying the interdisciplinary approach.
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Analyze the data using appropriate statistical and qualitative analysis methods to draw conclusions and support your research findings.
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Present your research findings in a clear and concise manner, highlighting the interdisciplinary nature and evidence-based approach used.
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Contribute to the existing body of knowledge by publishing your research findings in relevant academic journals or presenting them at conferences.

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Educators and curriculum developers who aim to design interdisciplinary programs and courses that address real-world issues.
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Innovators and entrepreneurs who are developing new technologies or solutions that require a multidisciplinary approach.

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Developing an evidence-based interdisciplinary involves integrating information from various disciplines to create solutions based on solid evidence.
Anyone involved in a project or research that requires interdisciplinary collaboration.
To fill out an evidence-based interdisciplinary, gather relevant data, analyze information from different fields, and draw conclusions based on evidence.
The purpose is to create effective solutions that are informed by evidence from multiple disciplines.
Data sources, analysis methods, conclusions drawn, and recommendations for future actions.
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