The Experts below are selected from a list of 102 Experts worldwide ranked by ideXlab platform
Matthew R Reynolds - One of the best experts on this subject based on the ideXlab platform.
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the national cardiovascular Data registry ncdr Data Quality brief the ncdr Data Quality Program in 2012
Journal of the American College of Cardiology, 2012Co-Authors: John C Messenger, Kalon K L Ho, Christopher H Young, Lara E Slattery, Jasmine C Draoui, Jeptha P Curtis, Gregory J Dehmer, Frederick L Grover, Michael J Mirro, Matthew R ReynoldsAbstract:Objectives The National Cardiovascular Data Registry (NCDR) developed the Data Quality Program to meet the objectives of ensuring the completeness, consistency, and accuracy of Data submitted to the observational clinical registries. The Data Quality Program consists of 3 main components: 1) a Data Quality report; 2) a set of internal Quality assurance protocols; and 3) a yearly Data audit Program. Background Since its inception in 1997, the NCDR has been the basis for the development of performance and Quality metrics, site-level Quality improvement Programs, and peer-reviewed health outcomes research. Methods Before inclusion in the registry, Data are filtered through the registry-specific algorithms that require predetermined levels of completeness and consistency for submitted Data fields as part of the Data Quality report. Internal Quality assurance protocols enforce Data standards before reporting. Within each registry, 300 to 625 records are audited annually in 25 randomly identified sites (i.e., 12 to 25 records per audited site). Results In the 2010 audits, the participant average raw accuracy of Data abstraction for the CathPCI Registry, ICD Registry, and ACTION Registry-GWTG were, respectively, 93.1% (range, 89.4% minimum, 97.4% maximum), 91.2% (range, 83.7% minimum, 95.7% maximum), and 89.7.% (range, 85% minimum, 95% maximum). Conclusions The 2010 audits provided evidence that many fields in the NCDR accurately represent the Data from the medical charts. The American College of Cardiology Foundation is undertaking a series of initiatives aimed at creating a Quality assurance rapid learning system, which, when complete, will monitor, evaluate, and improve Data Quality.
Pamela Z. Cacchione - One of the best experts on this subject based on the ideXlab platform.
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Data Quality strategies in cohort studies: lessons from a study on delirium in nursing home elders.
Applied Nursing Research, 2007Co-Authors: Mary J. Dyck, Kennith Culp, Pamela Z. CacchioneAbstract:Data Quality has a direct impact on reliability and validity, however, the procedures are usually briefly summarized in the methods section of reports. Sustaining Data Quality and integrity over time can pose serious challenges and prompted the development of a Data Quality Program based on Donabedian’s Quality framework. Although many are familiar with the structure, process, and outcome components in health care Quality, application to a research project may be unfamiliar. This article summarizes the Data Quality Program for a cohort study of nursing home elders with delirium by providing an “insider’s view” of the procedures and protocols followed over several years.
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Clinical methods Data Quality strategies in cohort studies: Lessons from a study on delirium in nursing home elders
2007Co-Authors: Mary J. Dyck, Kennith Culp, Pamela Z. CacchioneAbstract:Data Quality has a direct impact on reliability and validity; however, procedures are usually briefly summarized in the Methods section of reports. Sustaining Data Quality and integrity over time can pose serious challenges, prompting the development of a Data Quality Program based on Donabedian’s Quality framework. Although many are familiar with the structure, process, and outcome components in health care Quality, their application to a research project may be unfamiliar. This article summarizes the Data Quality Program for a cohort study of nursing home elders with delirium by providing an binsider’s viewQ of procedures and protocols followed for several years.
John C Messenger - One of the best experts on this subject based on the ideXlab platform.
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The NCDR CathPCI Registry: a US national perspective on care and outcomes for percutaneous coronary intervention
Heart, 2013Co-Authors: Issam Moussa, John C Messenger, Gregory J Dehmer, Anthony Hermann, W. Douglas Weaver, John S. Rumsfeld, Frederick A. MasoudiAbstract:Aims: The NCDR CathPCI Registry collects detailed clinical, process-of-care and outcomes Data for patients undergoing coronary angiography and percutaneous coronary intervention (PCI) in the USA. The registry contributes to Quality of care by providing Data feedback on a wide range of performance metrics to participating centres and by facilitating local and national Quality improvement efforts. Interventions: No treatments are mandated, participating centres receive routine Quality-of-care and outcomes performance feedback reports and access to a Quality dashboard for personalized performance reports. Population: Patients undergoing cardiac catheterization and PCI are retrospectively identified. No informed consent is required, as Data are anonymised. From inception in 1998, more than 12 million records have been submitted from 1577 participating US centres. Baseline Data: Approximately 250 fields encompassing patient demographics, medical history and risk factors, hospital presentation, initial cardiac status, procedural details, medications, laboratory values, and in-hospital outcomes. Linkages with outside sources of Data have permitted longitudinal outcomes assessment in some cases. Centre personnel enter the Data into the registry, in some cases facilitated by software vendors. There are non-financial incentives for centre participation. Data completeness is noteworthy with most fields missing at rates less than 5%. A comprehensive Data Quality Program is employed to enhance Data validity. Endpoints: Main outcome measures include Quality process metrics and in-hospital patient outcomes. Data are available for research by application to: http://www.ncdr.com
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the national cardiovascular Data registry ncdr Data Quality brief the ncdr Data Quality Program in 2012
Journal of the American College of Cardiology, 2012Co-Authors: John C Messenger, Kalon K L Ho, Christopher H Young, Lara E Slattery, Jasmine C Draoui, Jeptha P Curtis, Gregory J Dehmer, Frederick L Grover, Michael J Mirro, Matthew R ReynoldsAbstract:Objectives The National Cardiovascular Data Registry (NCDR) developed the Data Quality Program to meet the objectives of ensuring the completeness, consistency, and accuracy of Data submitted to the observational clinical registries. The Data Quality Program consists of 3 main components: 1) a Data Quality report; 2) a set of internal Quality assurance protocols; and 3) a yearly Data audit Program. Background Since its inception in 1997, the NCDR has been the basis for the development of performance and Quality metrics, site-level Quality improvement Programs, and peer-reviewed health outcomes research. Methods Before inclusion in the registry, Data are filtered through the registry-specific algorithms that require predetermined levels of completeness and consistency for submitted Data fields as part of the Data Quality report. Internal Quality assurance protocols enforce Data standards before reporting. Within each registry, 300 to 625 records are audited annually in 25 randomly identified sites (i.e., 12 to 25 records per audited site). Results In the 2010 audits, the participant average raw accuracy of Data abstraction for the CathPCI Registry, ICD Registry, and ACTION Registry-GWTG were, respectively, 93.1% (range, 89.4% minimum, 97.4% maximum), 91.2% (range, 83.7% minimum, 95.7% maximum), and 89.7.% (range, 85% minimum, 95% maximum). Conclusions The 2010 audits provided evidence that many fields in the NCDR accurately represent the Data from the medical charts. The American College of Cardiology Foundation is undertaking a series of initiatives aimed at creating a Quality assurance rapid learning system, which, when complete, will monitor, evaluate, and improve Data Quality.
Mary J. Dyck - One of the best experts on this subject based on the ideXlab platform.
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Data Quality strategies in cohort studies: lessons from a study on delirium in nursing home elders.
Applied Nursing Research, 2007Co-Authors: Mary J. Dyck, Kennith Culp, Pamela Z. CacchioneAbstract:Data Quality has a direct impact on reliability and validity, however, the procedures are usually briefly summarized in the methods section of reports. Sustaining Data Quality and integrity over time can pose serious challenges and prompted the development of a Data Quality Program based on Donabedian’s Quality framework. Although many are familiar with the structure, process, and outcome components in health care Quality, application to a research project may be unfamiliar. This article summarizes the Data Quality Program for a cohort study of nursing home elders with delirium by providing an “insider’s view” of the procedures and protocols followed over several years.
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Clinical methods Data Quality strategies in cohort studies: Lessons from a study on delirium in nursing home elders
2007Co-Authors: Mary J. Dyck, Kennith Culp, Pamela Z. CacchioneAbstract:Data Quality has a direct impact on reliability and validity; however, procedures are usually briefly summarized in the Methods section of reports. Sustaining Data Quality and integrity over time can pose serious challenges, prompting the development of a Data Quality Program based on Donabedian’s Quality framework. Although many are familiar with the structure, process, and outcome components in health care Quality, their application to a research project may be unfamiliar. This article summarizes the Data Quality Program for a cohort study of nursing home elders with delirium by providing an binsider’s viewQ of procedures and protocols followed for several years.
Gregory J Dehmer - One of the best experts on this subject based on the ideXlab platform.
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The NCDR CathPCI Registry: a US national perspective on care and outcomes for percutaneous coronary intervention
Heart, 2013Co-Authors: Issam Moussa, John C Messenger, Gregory J Dehmer, Anthony Hermann, W. Douglas Weaver, John S. Rumsfeld, Frederick A. MasoudiAbstract:Aims: The NCDR CathPCI Registry collects detailed clinical, process-of-care and outcomes Data for patients undergoing coronary angiography and percutaneous coronary intervention (PCI) in the USA. The registry contributes to Quality of care by providing Data feedback on a wide range of performance metrics to participating centres and by facilitating local and national Quality improvement efforts. Interventions: No treatments are mandated, participating centres receive routine Quality-of-care and outcomes performance feedback reports and access to a Quality dashboard for personalized performance reports. Population: Patients undergoing cardiac catheterization and PCI are retrospectively identified. No informed consent is required, as Data are anonymised. From inception in 1998, more than 12 million records have been submitted from 1577 participating US centres. Baseline Data: Approximately 250 fields encompassing patient demographics, medical history and risk factors, hospital presentation, initial cardiac status, procedural details, medications, laboratory values, and in-hospital outcomes. Linkages with outside sources of Data have permitted longitudinal outcomes assessment in some cases. Centre personnel enter the Data into the registry, in some cases facilitated by software vendors. There are non-financial incentives for centre participation. Data completeness is noteworthy with most fields missing at rates less than 5%. A comprehensive Data Quality Program is employed to enhance Data validity. Endpoints: Main outcome measures include Quality process metrics and in-hospital patient outcomes. Data are available for research by application to: http://www.ncdr.com
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the national cardiovascular Data registry ncdr Data Quality brief the ncdr Data Quality Program in 2012
Journal of the American College of Cardiology, 2012Co-Authors: John C Messenger, Kalon K L Ho, Christopher H Young, Lara E Slattery, Jasmine C Draoui, Jeptha P Curtis, Gregory J Dehmer, Frederick L Grover, Michael J Mirro, Matthew R ReynoldsAbstract:Objectives The National Cardiovascular Data Registry (NCDR) developed the Data Quality Program to meet the objectives of ensuring the completeness, consistency, and accuracy of Data submitted to the observational clinical registries. The Data Quality Program consists of 3 main components: 1) a Data Quality report; 2) a set of internal Quality assurance protocols; and 3) a yearly Data audit Program. Background Since its inception in 1997, the NCDR has been the basis for the development of performance and Quality metrics, site-level Quality improvement Programs, and peer-reviewed health outcomes research. Methods Before inclusion in the registry, Data are filtered through the registry-specific algorithms that require predetermined levels of completeness and consistency for submitted Data fields as part of the Data Quality report. Internal Quality assurance protocols enforce Data standards before reporting. Within each registry, 300 to 625 records are audited annually in 25 randomly identified sites (i.e., 12 to 25 records per audited site). Results In the 2010 audits, the participant average raw accuracy of Data abstraction for the CathPCI Registry, ICD Registry, and ACTION Registry-GWTG were, respectively, 93.1% (range, 89.4% minimum, 97.4% maximum), 91.2% (range, 83.7% minimum, 95.7% maximum), and 89.7.% (range, 85% minimum, 95% maximum). Conclusions The 2010 audits provided evidence that many fields in the NCDR accurately represent the Data from the medical charts. The American College of Cardiology Foundation is undertaking a series of initiatives aimed at creating a Quality assurance rapid learning system, which, when complete, will monitor, evaluate, and improve Data Quality.
