LEADER 05407nam 2200637 450 001 9910816024703321 005 20200520144314.0 010 $a0-8261-2974-9 035 $a(CKB)2550000001290853 035 $a(EBL)1688449 035 $a(SSID)ssj0001193756 035 $a(PQKBManifestationID)12496531 035 $a(PQKBTitleCode)TC0001193756 035 $a(PQKBWorkID)11146739 035 $a(PQKB)11233870 035 $a(Au-PeEL)EBL1688449 035 $a(CaPaEBR)ebr10869689 035 $a(CaONFJC)MIL605099 035 $a(OCoLC)879669450 035 $a(MiAaPQ)EBC1688449 035 $a(EXLCZ)992550000001290853 100 $a20140522h20142014 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aClinical analytics and data management for the DNP /$fMartha L. Sylvia, Mary F. Terhaar ; Margaret Zuccarini, acquisition editor 210 1$aNew York :$cSpringer Publishing Company,$d2014. 210 4$dİ2014 215 $a1 online resource (239 p.) 300 $aDescription based upon print version of record. 311 $a0-8261-2973-0 311 $a1-306-73848-2 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aCover; Title; Copyright; Contents; Contributors; Foreword; Preface; Acknowledgments; Chapter 1: Introduction to Clinical Data Management; Translation; The Doctor of Nursing Practice as Translator and Analyst; The Context of Discovery and Innovation; Clinical Data Management; Chapter 2: Basic Statistical Concepts and Power Analysis; Thoughtful Planning; Chapter 3: Preparing for Data Collection; Chapter 4: Developing the Analysis Plan; Chapter 5: Data Governance and Stewardship; Careful and Effective Action; Chapter 6: Creating the Analysis Data Set; Chapter 7: Exploratory Data Analysis 327 $aChapter 8: Outcomes Data AnalysisChapter 9: Summarizing the Results of the Project Evaluation; Chapter 10: Ongoing Monitoring; Conclusion; References; Chapter 2: Basic Statistical Concepts and Power Analysis; Learning Objectives; Review of Variable Concepts; Types of Variables; Basic Statistical Tests and Choosing Appropriately; Sample Size Calculation Using Power Analysis; Components of Power Analysis; Sample Size Determination for Paired Data; Sample Size Determination for Proportions; Influence of Other Factors on Sample Size; Using Sample Size Calculators; Summary; References 327 $aChapter 3: Preparing for Data CollectionLearning Objectives; Primary and Secondary Data; Definition; Deciding Which Data Sources to Use; Using Primary Data; Reliability and Validity of Data Collection Instruments; Data Collection Mechanisms; Using Secondary Data; Sources of Secondary Data; Requesting Secondary Data From an Organization; Summary; References; Chapter 4: Developing the Analysis Plan; Learning Objectives; Applying the Analysis Question; Determining the Unit of Analysis; Creating Comparison Groups; Elements Used to Describe the Unit of Analysis 327 $aDetermining the Variables of the Data SetDescriptive Information; Outcomes Information; Summary; References; Case Study; Case Study Example: Complete Evaluation Plan; Outcomes, Measures, Calculations , and Variables; Outcomes, Measures, Calculations , and Variables; Case Study Example: Power Analysis; Chapter 5: Data Governance and Stewardship; Learning Objectives; Background; Definitions; Historical Context of Data Governance and Stewardship; Laws Relevant to Human Subjects Research; Food and Drug Regulations; Nuremberg Code; Declaration of Helsinki; National Research Service Award Act 327 $aBelmont ReportCommon Rule; Regulation of Data Management in Health Care Organizations; Health Insurance Portability and Accountability Act; Data Governance and Analytics Today; Quality Improvement (QI); The Role of the Institutional Review Board (IRB) in Translation and QI; Organization-Specific Data Governance Processes; Data Stewardship, Governance Structures, and Processes Within the Organization; Meaningful Use; Privacy; Ownership; Access; Planning for Data Governance; Level of Patient Identification Within Data Sets; The Institutional Review Board; Summary; References 327 $aChapter 6: Creating the Analysis Data Set 330 $aStrong data management knowledge and skills are a requirement for every DNP graduate. This unique text focuses on fostering the rigorous, meticulous data management skills that can improve care experience, health outcomes, and cost-savings worldwide. It provides a knowledge base, describes the regulatory and ethical context, outlines a process to guide evaluation, presents a compendium of resources, and includes examples of evaluation of translation effects. It takes the DNP student step-by-step through the complete process of data management including planning, data collection, data governanc 606 $aNursing$xResearch 606 $aNursing$xResearch$xMethodology 615 0$aNursing$xResearch. 615 0$aNursing$xResearch$xMethodology. 676 $a610.73072 700 $aSylvia$b Martha L.$01708963 702 $aZuccarini$b Margaret 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910816024703321 996 $aClinical analytics and data management for the DNP$94098340 997 $aUNINA