The Experts below are selected from a list of 78 Experts worldwide ranked by ideXlab platform
Patricia D Brown - One of the best experts on this subject based on the ideXlab platform.
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acute pyelonephritis in us hospitals in 1997 hospitalization and in hospital mortality
Annals of Epidemiology, 2003Co-Authors: Betsy Foxman, Kelly L Klemstine, Patricia D BrownAbstract:Abstract PURPOSE: To describe the 1997 incidence of hospitalization for acute pyelonephritis in the US and the risk factors for in-hospital mortality associated with acute pyelonephritis. METHODS: Cases were defined as those with ICD9-CM codes corresponding to acute pyelonephritis in the 1997 Health Care Cost and Utilization Project (HCUP) Nationwide Inpatient Sample (NIS). Frequencies and calculations were weighted to produce either national or state estimates. Hospitalization rates were calculated using 1997 US Census Bureau population projections for the denominator. RESULTS: Females were almost five times as likely as males to be hospitalized for acute pyelonephritis (11.7/10,000 vs. 2.4/10,000), but males had higher mortality rates (16.5/1000 vs. 7.3/1000); 30% greater after adjustment. Hospitalization and in-hospital mortality rates increased with age, but not with diabetes. Mortality rates increased with number of procedures, diagnoses and having a Major Diagnostic Category other than disorders of the kidney and urinary tract. Persons living in zip codes with lower median incomes were also at higher risk of mortality. There was little variation in mortality by hospital size, ownership, location or teaching status. CONCLUSION: In hospital mortality for pyelonephritis was associated with patient rather than hospital characteristics suggesting uniform application of standard care across hospitals and populations.
Miriam M. Wiley - One of the best experts on this subject based on the ideXlab platform.
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Diagnosis Related Groups (DRGs): Measuring Hospital Case Mix†
Wiley StatsRef: Statistics Reference Online, 2014Co-Authors: Miriam M. WileyAbstract:The Diagnosis Related Group (DRG) system constitutes an approach to measuring hospital case mix that entails the separation of hospitalized patients into unique groups based on their diagnoses and procedures. Since originally developed in the United States in the 1980s, a number of versions of DRGs have developed to reflect the evolution in potential applications, in addition to developments in expertise, information technology, and data systems. Major initiatives in the development of DRG-type systems have taken place in Australia with the production of AR-DRGs and in a number of European countries. In addition to being applied extensively throughout North America, DRG-based applications are now widespread internationally, particularly in Europe and Australia. Keywords: case mix; Major Diagnostic Category; diagnosis-related groups; Australian refined DRGs; HRGs ; prospective payment system
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Encyclopedia of Biostatistics - Diagnosis Related Groups (DRGs): Measuring Hospital Case Mix
Encyclopedia of Biostatistics, 2005Co-Authors: Miriam M. WileyAbstract:The Diagnosis Related Group (DRG) system constitutes an approach to measuring hospital case mix that entails the separation of hospitalized patients into unique groups based on their diagnoses and procedures. Since originally developed in the United States in the 1980s, a number of versions of DRGs have developed to reflect the evolution in potential applications, in addition to developments in expertise, information technology, and data systems. Major initiatives in the development of DRG-type systems have taken place in Australia with the production of AR-DRGs and in a number of European countries. In addition to being applied extensively throughout North America, DRG-based applications are now widespread internationally, particularly in Europe and Australia. Keywords: case mix; Major Diagnostic Category; diagnosis-related groups; Australian refined DRGs; HRGs, prospective payment system
Betsy Foxman - One of the best experts on this subject based on the ideXlab platform.
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acute pyelonephritis in us hospitals in 1997 hospitalization and in hospital mortality
Annals of Epidemiology, 2003Co-Authors: Betsy Foxman, Kelly L Klemstine, Patricia D BrownAbstract:Abstract PURPOSE: To describe the 1997 incidence of hospitalization for acute pyelonephritis in the US and the risk factors for in-hospital mortality associated with acute pyelonephritis. METHODS: Cases were defined as those with ICD9-CM codes corresponding to acute pyelonephritis in the 1997 Health Care Cost and Utilization Project (HCUP) Nationwide Inpatient Sample (NIS). Frequencies and calculations were weighted to produce either national or state estimates. Hospitalization rates were calculated using 1997 US Census Bureau population projections for the denominator. RESULTS: Females were almost five times as likely as males to be hospitalized for acute pyelonephritis (11.7/10,000 vs. 2.4/10,000), but males had higher mortality rates (16.5/1000 vs. 7.3/1000); 30% greater after adjustment. Hospitalization and in-hospital mortality rates increased with age, but not with diabetes. Mortality rates increased with number of procedures, diagnoses and having a Major Diagnostic Category other than disorders of the kidney and urinary tract. Persons living in zip codes with lower median incomes were also at higher risk of mortality. There was little variation in mortality by hospital size, ownership, location or teaching status. CONCLUSION: In hospital mortality for pyelonephritis was associated with patient rather than hospital characteristics suggesting uniform application of standard care across hospitals and populations.
U Werneke - One of the best experts on this subject based on the ideXlab platform.
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How to Use Herbs, Nutrients, and Yoga in Mental Health Care
British Journal of Psychiatry, 2009Co-Authors: U WernekeAbstract:(from the jacket) Many physicians and therapists agree that herbs and mind-body practices enhance health, but many more are reluctant to integrate them into their clinical work because of a lack of training or, given how long it takes to master the use of hundreds of different herbs, a lack of time. But the trend is clear: clients and consumers alike want control over their health care choices, making the time ripe for a practical resource that guides both the clinician and the consumer on complementary and alternative medicine (CAM). This book answers that call. Three noted experts in integrative medicine, Drs. Brown, Gerbarg, and Muskin, demystify the complexities of alternative mental health care, giving readers a comprehensive yet accessible guidebook to the best treatment options out there. From mood, memory, and anxiety disorders to ADD, sexual enhancement issues, psychotic disorders, and substance abuse, every chapter covers a Major Diagnostic Category. The authors then present a range of complementary and alternative treatments--including the use of herbs, nutrients, vitamins, nootropics, hormones, and mind-body practices--that they have found to be beneficial for various conditions within each Category. (PsycINFO Database Record (c) 2010 APA, all rights reserved)
Kelly L Klemstine - One of the best experts on this subject based on the ideXlab platform.
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acute pyelonephritis in us hospitals in 1997 hospitalization and in hospital mortality
Annals of Epidemiology, 2003Co-Authors: Betsy Foxman, Kelly L Klemstine, Patricia D BrownAbstract:Abstract PURPOSE: To describe the 1997 incidence of hospitalization for acute pyelonephritis in the US and the risk factors for in-hospital mortality associated with acute pyelonephritis. METHODS: Cases were defined as those with ICD9-CM codes corresponding to acute pyelonephritis in the 1997 Health Care Cost and Utilization Project (HCUP) Nationwide Inpatient Sample (NIS). Frequencies and calculations were weighted to produce either national or state estimates. Hospitalization rates were calculated using 1997 US Census Bureau population projections for the denominator. RESULTS: Females were almost five times as likely as males to be hospitalized for acute pyelonephritis (11.7/10,000 vs. 2.4/10,000), but males had higher mortality rates (16.5/1000 vs. 7.3/1000); 30% greater after adjustment. Hospitalization and in-hospital mortality rates increased with age, but not with diabetes. Mortality rates increased with number of procedures, diagnoses and having a Major Diagnostic Category other than disorders of the kidney and urinary tract. Persons living in zip codes with lower median incomes were also at higher risk of mortality. There was little variation in mortality by hospital size, ownership, location or teaching status. CONCLUSION: In hospital mortality for pyelonephritis was associated with patient rather than hospital characteristics suggesting uniform application of standard care across hospitals and populations.
