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Clinical analytics and data management for the DNP / / Martha L. Sylvia, Mary F. Terhaar
Clinical analytics and data management for the DNP / / Martha L. Sylvia, Mary F. Terhaar
Autore Sylvia Martha L.
Edizione [Second edition.]
Pubbl/distr/stampa New York, New York : , : Springer Publishing Company, , 2018
Descrizione fisica 1 online resource (379 pages) : illustrations, tables, graphs
Disciplina 610.73072
Soggetto topico Nursing - Research
Soggetto genere / forma Electronic books.
ISBN 0-8261-4278-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910467867503321
Sylvia Martha L.  
New York, New York : , : Springer Publishing Company, , 2018
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Clinical analytics and data management for the DNP / / Martha L. Sylvia, Mary F. Terhaar
Clinical analytics and data management for the DNP / / Martha L. Sylvia, Mary F. Terhaar
Autore Sylvia Martha L.
Edizione [Second edition.]
Pubbl/distr/stampa New York, New York : , : Springer Publishing Company, , 2018
Descrizione fisica 1 online resource (379 pages) : illustrations, tables, graphs
Disciplina 610.73072
Soggetto topico Nursing - Research
Soggetto genere / forma Electronic books.
ISBN 0-8261-4278-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910539855503321
Sylvia Martha L.  
New York, New York : , : Springer Publishing Company, , 2018
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Clinical analytics and data management for the DNP / / Martha L. Sylvia, Mary F. Terhaar ; Margaret Zuccarini, acquisition editor
Clinical analytics and data management for the DNP / / Martha L. Sylvia, Mary F. Terhaar ; Margaret Zuccarini, acquisition editor
Autore Sylvia Martha L.
Pubbl/distr/stampa New York : , : Springer Publishing Company, , 2014
Descrizione fisica 1 online resource (239 p.)
Disciplina 610.73072
Soggetto topico Nursing - Research
Nursing - Research - Methodology
Soggetto genere / forma Electronic books.
ISBN 0-8261-2974-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; 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
Chapter 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
Chapter 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
Determining 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
Belmont 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
Chapter 6: Creating the Analysis Data Set
Record Nr. UNINA-9910458010903321
Sylvia Martha L.  
New York : , : Springer Publishing Company, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Clinical analytics and data management for the DNP / / Martha L. Sylvia, Mary F. Terhaar ; Margaret Zuccarini, acquisition editor
Clinical analytics and data management for the DNP / / Martha L. Sylvia, Mary F. Terhaar ; Margaret Zuccarini, acquisition editor
Autore Sylvia Martha L.
Pubbl/distr/stampa New York : , : Springer Publishing Company, , 2014
Descrizione fisica 1 online resource (239 p.)
Disciplina 610.73072
Soggetto topico Nursing - Research
Nursing - Research - Methodology
ISBN 0-8261-2974-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; 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
Chapter 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
Chapter 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
Determining 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
Belmont 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
Chapter 6: Creating the Analysis Data Set
Record Nr. UNINA-9910791038103321
Sylvia Martha L.  
New York : , : Springer Publishing Company, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Clinical analytics and data management for the DNP / / Martha L. Sylvia, Mary F. Terhaar ; Margaret Zuccarini, acquisition editor
Clinical analytics and data management for the DNP / / Martha L. Sylvia, Mary F. Terhaar ; Margaret Zuccarini, acquisition editor
Autore Sylvia Martha L.
Pubbl/distr/stampa New York : , : Springer Publishing Company, , 2014
Descrizione fisica 1 online resource (239 p.)
Disciplina 610.73072
Soggetto topico Nursing - Research
Nursing - Research - Methodology
ISBN 0-8261-2974-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; 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
Chapter 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
Chapter 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
Determining 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
Belmont 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
Chapter 6: Creating the Analysis Data Set
Record Nr. UNINA-9910816024703321
Sylvia Martha L.  
New York : , : Springer Publishing Company, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui