2.50
Hdl Handle:
http://hdl.handle.net/10755/154906
Type:
Presentation
Title:
Approach to Data Management and Evaluation for the DNP Curriculum
Abstract:
Approach to Data Management and Evaluation for the DNP Curriculum
Conference Sponsor:Sigma Theta Tau International
Conference Year:2011
Author:Sylvia, Martha, PhD
P.I. Institution Name:Johns Hopkins University
Title:Instructor
[22nd International Nursing Research Congress - Research Symposium Presentation] Purpose: Development and implementation of a comprehensive data management plan are essential components of DNP education as well as necessary and assumed skills for DNP practice.  Despite inclusion of statistics, epidemiology, and fundamentals of evidence based practice in the curriculum students were found to lack confidence in their ability to apply this knowledge. SON faculty  developed a two-pronged approach to  provide  individualized student consultation focused on learning goals and project demands; and a clinical data management (CDM) course focusing on strategies, procedures and application to promote quality data management for evidence-based translation projects. 
The conceptual basis for the CDM course was taken from ?Process of Patient Outcomes Management? (Nolan and Mock ,2000).  Components of the course include identification of and linkages between project aims, outcomes, measures, variables, and data sources; creation of data collection systems and processes;  measurement of statistical power;  application of data cleaning and manipulation techniques;  identification and implementation of appropriate statistical testing; and meaningful presentation of results.  These components are addressed using multiple lessons that ultimately lead to creation of the data management component of the project plan which also contains data definitions and procedures for data collection; governance; manipulation; analysis; and reporting.
Methods:  Course content is delivered online using multiple strategies including focused workshop modules; regular completion of pertinent problem sets and assignments; weekly, synchronous, instructor-led, all inclusive help sessions; video demonstrations of techniques using statistical and data management software; and synchronous student presentations.
Results: Will be evaluated using the instrument presented at the begining of the symposium.
Conclusion: A curriculum that emphasizes data management will provide DNPs with skills they need to interpret and present results from evidence-based translation projects in such a way that they can provide key stakeholders and decision-makers with the information necessary to make decisions about project value and continuance.
Repository Posting Date:
26-Oct-2011
Date of Publication:
17-Oct-2011
Sponsors:
Sigma Theta Tau International

Full metadata record

DC FieldValue Language
dc.typePresentationen_GB
dc.titleApproach to Data Management and Evaluation for the DNP Curriculumen_GB
dc.identifier.urihttp://hdl.handle.net/10755/154906-
dc.description.abstract<table><tr><td colspan="2" class="item-title">Approach to Data Management and Evaluation for the DNP Curriculum</td></tr><tr class="item-sponsor"><td class="label">Conference Sponsor:</td><td class="value">Sigma Theta Tau International</td></tr><tr class="item-year"><td class="label">Conference Year:</td><td class="value">2011</td></tr><tr class="item-author"><td class="label">Author:</td><td class="value">Sylvia, Martha, PhD</td></tr><tr class="item-institute"><td class="label">P.I. Institution Name:</td><td class="value">Johns Hopkins University</td></tr><tr class="item-author-title"><td class="label">Title:</td><td class="value">Instructor</td></tr><tr class="item-email"><td class="label">Email:</td><td class="value">msylvia1@son.jhmi.edu</td></tr><tr><td colspan="2" class="item-abstract">[22nd International Nursing Research Congress - Research Symposium Presentation] Purpose:&nbsp;Development and implementation of a comprehensive data management plan are essential components of DNP education as well as necessary and assumed skills for DNP practice.&nbsp; Despite inclusion of statistics, epidemiology, and fundamentals of evidence based practice in the curriculum students were found to lack confidence in their ability to apply this knowledge. SON faculty &nbsp;developed a two-pronged approach to &nbsp;provide&nbsp; individualized student consultation focused on learning goals and project demands; and a clinical data management (CDM) course focusing on strategies, procedures and application to promote quality data management for evidence-based translation projects.&nbsp; <br/>The conceptual basis for the CDM course was taken from ?Process of Patient Outcomes Management? (Nolan and Mock ,2000).&nbsp; Components of the course include identification of and linkages between project aims, outcomes, measures, variables, and data sources; creation of data collection systems and processes;&nbsp; measurement of statistical power;&nbsp; application of data cleaning and manipulation techniques;&nbsp; identification and implementation of appropriate statistical testing; and meaningful presentation of results.&nbsp; These components are addressed using multiple lessons that ultimately lead to creation of the data management component of the project plan which also contains data definitions and procedures for data collection; governance; manipulation; analysis; and reporting. <br/>Methods:&nbsp;&nbsp;Course content is delivered online using multiple strategies including focused workshop modules; regular completion of pertinent problem sets and assignments; weekly, synchronous, instructor-led, all inclusive help sessions; video demonstrations of techniques using statistical and data management software; and synchronous student presentations. <br/>Results:&nbsp;Will be evaluated using the instrument presented at the begining of the symposium. <br/>Conclusion:&nbsp;A curriculum that emphasizes data management will provide DNPs with skills they need to interpret and present results from evidence-based translation projects in such a way that they can provide key stakeholders and decision-makers with the information necessary to make decisions about project value and continuance.</td></tr></table>en_GB
dc.date.available2011-10-26T13:22:31Z-
dc.date.issued2011-10-17en_GB
dc.date.accessioned2011-10-26T13:22:31Z-
dc.description.sponsorshipSigma Theta Tau Internationalen_GB
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