-
1
-
-
84903839828
-
-
Rockville, MD, HCUP Agency for Healthcare Research and Quality
-
Elixhauser A, Friedman B, Stranges E: Septicemia in U.S. Hospitals, 2009. Rockville, MD, HCUP Agency for Healthcare Research and Quality, 2011
-
(2011)
Septicemia in U.S. Hospitals, 2009
-
-
Elixhauser, A.1
Friedman, B.2
Stranges, E.3
-
2
-
-
85011977026
-
Proportion and cost of unplanned 30-day readmissions after sepsis compared with other medical conditions
-
Mayr FB, Talisa VB, Balakumar V, et al: Proportion and cost of unplanned 30-day readmissions after sepsis compared with other medical conditions. JAMA 2017; 317:530-531
-
(2017)
JAMA
, vol.317
, pp. 530-531
-
-
Mayr, F.B.1
Talisa, V.B.2
Balakumar, V.3
-
3
-
-
85020281572
-
Early, goal-directed therapy for septic shock - A patient-level meta-analysis
-
Rowan KM, Angus DC, Bailey M, et al; PRISM Investigators: Early, goal-directed therapy for septic shock - a patient-level meta-analysis. N Engl J Med 2017; 376:2223-2234
-
(2017)
N Engl J Med
, vol.376
, pp. 2223-2234
-
-
Rowan, K.M.1
Angus, D.C.2
Bailey, M.3
-
4
-
-
84903837831
-
Increased 1-year healthcare use in survivors of severe sepsis
-
Prescott HC, Langa KM, Liu V, et al: Increased 1-year healthcare use in survivors of severe sepsis. Am J Respir Crit Care Med 2014; 190:62-69
-
(2014)
Am J Respir Crit Care Med
, vol.190
, pp. 62-69
-
-
Prescott, H.C.1
Langa, K.M.2
Liu, V.3
-
5
-
-
85010764364
-
Fluid administration in severe sepsis and septic shock, patterns and outcomes: An analysis of a large national database
-
Marik PE, Linde-Zwirble WT, Bittner EA, et al: Fluid administration in severe sepsis and septic shock, patterns and outcomes: An analysis of a large national database. Intensive Care Med 2017; 43:625-632
-
(2017)
Intensive Care Med
, vol.43
, pp. 625-632
-
-
Marik, P.E.1
Linde-Zwirble, W.T.2
Bittner, E.A.3
-
6
-
-
85020487047
-
Physician variation in time to antimicrobial treatment for septic patients presenting to the emergency department
-
Peltan ID, Mitchell KH, Rudd KE, et al: Physician variation in time to antimicrobial treatment for septic patients presenting to the emergency department. Crit Care Med 2017; 45:1011-1018
-
(2017)
Crit Care Med
, vol.45
, pp. 1011-1018
-
-
Peltan, I.D.1
Mitchell, K.H.2
Rudd, K.E.3
-
7
-
-
84864133209
-
Variation in the care of septic shock: The impact of patient and hospital characteristics
-
Lagu T, Rothberg MB, Nathanson BH, et al: Variation in the care of septic shock: The impact of patient and hospital characteristics. J Crit Care 2012; 27:329-336
-
(2012)
J Crit Care
, vol.27
, pp. 329-336
-
-
Lagu, T.1
Rothberg, M.B.2
Nathanson, B.H.3
-
8
-
-
85031813836
-
-
Accessed June 8
-
Centers for Medicare & Medicaid Services: CMS Measures Inventory. Available at: https://www.cms.gov/Medicare/Quality-Initiatives-Patient-Assessment-Instruments/QualityMeasures/CMSMeasures-Inventory.html. Accessed June 8, 2017
-
(2017)
CMS Measures Inventory
-
-
-
10
-
-
84946729637
-
Variation and cost-effectiveness of quality measurement programs. The case of sepsis bundles
-
Wall MJ, Howell MD: Variation and cost-effectiveness of quality measurement programs. The case of sepsis bundles. Ann Am Thorac Soc 2015; 12:1597-1599
-
(2015)
Ann Am Thorac Soc
, vol.12
, pp. 1597-1599
-
-
Wall, M.J.1
Howell, M.D.2
-
11
-
-
85020468010
-
Time to treatment and mortality during mandated emergency care for sepsis
-
Seymour CW, Gesten F, Prescott HC, et al: Time to treatment and mortality during mandated emergency care for sepsis. N Engl J Med 2017; 376:2235-2244
-
(2017)
N Engl J Med
, vol.376
, pp. 2235-2244
-
-
Seymour, C.W.1
Gesten, F.2
Prescott, H.C.3
-
12
-
-
85056498360
-
-
ACCP, AACN, GNYHA, MWCCC, NAMDRC, SAEM, SHM: Accessed June 21
-
ACCP, AACN, GNYHA, MWCCC, NAMDRC, SAEM, SHM: Letter of Appeal on 0500 Severe Sepsis and Septic Shock: Management Bundle. Available at: www.qualityforum.org/WorkArea/linkit.aspx?Lin kIdentifier=id&ItemID=73103. Accessed June 21, 2017
-
(2017)
Letter of Appeal on 0500 Severe Sepsis and Septic Shock: Management Bundle
-
-
-
13
-
-
84990056322
-
The CMS sepsis mandate: Right disease, wrong measure
-
Klompas M, Rhee C: The CMS sepsis mandate: Right disease, wrong measure. Ann Intern Med 2016; 165:517-518
-
(2016)
Ann Intern Med
, vol.165
, pp. 517-518
-
-
Klompas, M.1
Rhee, C.2
-
14
-
-
33846698237
-
Measuring performance for treating heart attacks and heart failure: The case for outcomes measurement
-
Krumholz HM, Normand SL, Spertus JA, et al: Measuring performance for treating heart attacks and heart failure: The case for outcomes measurement. Health Aff (Millwood) 2007; 26:75-85
-
(2007)
Health Aff (Millwood)
, vol.26
, pp. 75-85
-
-
Krumholz, H.M.1
Normand, S.L.2
Spertus, J.A.3
-
15
-
-
0030666228
-
The risks of risk adjustment
-
Iezzoni LI: The risks of risk adjustment. JAMA 1997; 278:1600-1607
-
(1997)
JAMA
, vol.278
, pp. 1600-1607
-
-
Iezzoni, L.I.1
-
16
-
-
84988651782
-
Quality of quality measurement: Impact of risk adjustment, hospital volume, and hospital performance
-
Glance LG, Li Y, Dick AW: Quality of quality measurement: Impact of risk adjustment, hospital volume, and hospital performance. Anesthesiology 2016; 125:1092-1102
-
(2016)
Anesthesiology
, vol.125
, pp. 1092-1102
-
-
Glance, L.G.1
Li, Y.2
Dick, A.W.3
-
17
-
-
0036743135
-
Identifying quality outliers in a large, multiple-institution database by using customized versions of the Simplified Acute Physiology Score II and the Mortality Probability Model II0
-
Glance LG, Osler TM, Dick AW: Identifying quality outliers in a large, multiple-institution database by using customized versions of the Simplified Acute Physiology Score II and the Mortality Probability Model II0. Crit Care Med 2002; 30:1995-2002
-
(2002)
Crit Care Med
, vol.30
, pp. 1995-2002
-
-
Glance, L.G.1
Osler, T.M.2
Dick, A.W.3
-
18
-
-
78650594621
-
Variability in the measurement of hospital-wide mortality rates
-
Shahian DM, Wolf RE, Iezzoni LI, et al: Variability in the measurement of hospital-wide mortality rates. N Engl J Med 2010; 363:2530-2539
-
(2010)
N Engl J Med
, vol.363
, pp. 2530-2539
-
-
Shahian, D.M.1
Wolf, R.E.2
Iezzoni, L.I.3
-
19
-
-
84859406106
-
Association of diagnostic coding with trends in hospitalizations and mortality of patients with pneumonia, 2003-2009
-
Lindenauer PK, Lagu T, Shieh MS, et al: Association of diagnostic coding with trends in hospitalizations and mortality of patients with pneumonia, 2003-2009. JAMA 2012; 307:1405-1413
-
(2012)
JAMA
, vol.307
, pp. 1405-1413
-
-
Lindenauer, P.K.1
Lagu, T.2
Shieh, M.S.3
-
20
-
-
84896528326
-
Variation in diagnostic coding of patients with pneumonia and its association with hospital riskstandardized mortality rates: A cross-sectional analysis
-
Rothberg MB, Pekow PS, Priya A, et al: Variation in diagnostic coding of patients with pneumonia and its association with hospital riskstandardized mortality rates: A cross-sectional analysis. Ann Intern Med 2014; 160:380-388
-
(2014)
Ann Intern Med
, vol.160
, pp. 380-388
-
-
Rothberg, M.B.1
Pekow, P.S.2
Priya, A.3
-
21
-
-
84959350250
-
A framework for the development and interpretation of different sepsis definitions and clinical criteria
-
Angus DC, Seymour CW, Coopersmith CM, et al: A framework for the development and interpretation of different sepsis definitions and clinical criteria. Crit Care Med 2016; 44:e113-e121
-
(2016)
Crit Care Med
, vol.44
, pp. e113-e121
-
-
Angus, D.C.1
Seymour, C.W.2
Coopersmith, C.M.3
-
22
-
-
84962159420
-
Diagnosing sepsis is subjective and highly variable: A survey of intensivists using case vignettes
-
Rhee C, Kadri SS, Danner RL, et al: Diagnosing sepsis is subjective and highly variable: A survey of intensivists using case vignettes. Crit Care 2016; 20:89
-
(2016)
Crit Care
, vol.20
, pp. 89
-
-
Rhee, C.1
Kadri, S.S.2
Danner, R.L.3
-
23
-
-
84959273475
-
The third international consensus definitions for sepsis and septic shock (Sepsis-3)
-
Singer M, Deutschman CS, Seymour CW, et al: The third international consensus definitions for sepsis and septic shock (Sepsis-3). JAMA 2016; 315:801-810
-
(2016)
JAMA
, vol.315
, pp. 801-810
-
-
Singer, M.1
Deutschman, C.S.2
Seymour, C.W.3
-
24
-
-
84926450979
-
Comparison of trends in sepsis incidence and coding using administrative claims versus objective clinical data
-
Rhee C, Murphy MV, Li L, et al; Centers for Disease Control and Prevention Epicenters Program: Comparison of trends in sepsis incidence and coding using administrative claims versus objective clinical data. Clin Infect Dis 2015; 60:88-95
-
(2015)
Clin Infect Dis
, vol.60
, pp. 88-95
-
-
Rhee, C.1
Murphy, M.V.2
Li, L.3
-
25
-
-
85040291120
-
-
Accessed July 3
-
National Quality Forum: Measure Evaluation Criteria. Available at: http://www.qualityforum.org/Measuring-Performance/Submitting-Standards/Measure-Evaluation-Criteria.aspx. Accessed July 3, 2017
-
(2017)
Measure Evaluation Criteria
-
-
-
27
-
-
85011593497
-
Estimating ten-year trends in septic shock incidence and mortality in United States academic medical centers using clinical data
-
Kadri SS, Rhee C, Strich JR, et al: Estimating ten-year trends in septic shock incidence and mortality in United States academic medical centers using clinical data. Chest 2017; 151:278-285
-
(2017)
Chest
, vol.151
, pp. 278-285
-
-
Kadri, S.S.1
Rhee, C.2
Strich, J.R.3
-
28
-
-
85056519515
-
-
Accessed June 22, 2017
-
Centers for Medicare & Medicaid Services: Measure Methodology. 2018. Available at: https://www.cms.gov/Medicare/Quality-Initiatives-Patient-Assessment-Instruments/HospitalQualityInits/Measure-Methodology.html. Accessed June 22, 2017
-
(2018)
Measure Methodology
-
-
-
29
-
-
1842498078
-
Statistical applications for profiling providors of medical care: Issues and applications
-
Normand ST, Glickman ME, Gatsonis CA: Statistical applications for profiling providors of medical care: Issues and applications. J Am Stat Assoc 1997;92:803-814
-
(1997)
J Am Stat Assoc
, vol.92
, pp. 803-814
-
-
Normand, S.T.1
Glickman, M.E.2
Gatsonis, C.A.3
-
30
-
-
79954521691
-
An administrative claims model for profiling hospital 30-day mortality rates for pneumonia patients
-
Bratzler DW, Normand SL, Wang Y, et al: An administrative claims model for profiling hospital 30-day mortality rates for pneumonia patients. PLoS One 2011; 6:e17401
-
(2011)
PLoS One
, vol.6
-
-
Bratzler, D.W.1
Normand, S.L.2
Wang, Y.3
-
31
-
-
0031613172
-
Comorbidity measures for use with administrative data
-
Elixhauser A, Steiner C, Harris DR, et al: Comorbidity measures for use with administrative data. Med Care 1998; 36:8-27
-
(1998)
Med Care
, vol.36
, pp. 8-27
-
-
Elixhauser, A.1
Steiner, C.2
Harris, D.R.3
-
32
-
-
33644881132
-
Does date stamping ICD-9-CM codes increase the value of clinical information in administrative data?
-
Glance LG, Dick AW, Osler TM, et al: Does date stamping ICD-9-CM codes increase the value of clinical information in administrative data? Health Serv Res 2006; 41:231-251
-
(2006)
Health Serv Res
, vol.41
, pp. 231-251
-
-
Glance, L.G.1
Dick, A.W.2
Osler, T.M.3
-
33
-
-
79956217851
-
A combined comorbidity score predicted mortality in elderly patients better than existing scores
-
Gagne JJ, Glynn RJ, Avorn J, et al: A combined comorbidity score predicted mortality in elderly patients better than existing scores. J Clin Epidemiol 2011; 64:749-759
-
(2011)
J Clin Epidemiol
, vol.64
, pp. 749-759
-
-
Gagne, J.J.1
Glynn, R.J.2
Avorn, J.3
-
34
-
-
0037451929
-
The epidemiology of sepsis in the United States from 1979 through 2000
-
Martin GS, Mannino DM, Eaton S, et al: The epidemiology of sepsis in the United States from 1979 through 2000. N Engl J Med 2003; 348:1546-1554
-
(2003)
N Engl J Med
, vol.348
, pp. 1546-1554
-
-
Martin, G.S.1
Mannino, D.M.2
Eaton, S.3
-
35
-
-
0034958947
-
Epidemiology of severe sepsis in the United States: Analysis of incidence, outcome, and associated costs of care
-
Angus DC, Linde-Zwirble WT, Lidicker J, et al: Epidemiology of severe sepsis in the United States: Analysis of incidence, outcome, and associated costs of care. Crit Care Med 2001; 29:1303-1310
-
(2001)
Crit Care Med
, vol.29
, pp. 1303-1310
-
-
Angus, D.C.1
Linde-Zwirble, W.T.2
Lidicker, J.3
-
36
-
-
33645222033
-
A brief conceptual tutorial of multilevel analysis in social epidemiology: Using measures of clustering in multilevel logistic regression to investigate contextual phenomena
-
Merlo J, Chaix B, Ohlsson H, et al: A brief conceptual tutorial of multilevel analysis in social epidemiology: Using measures of clustering in multilevel logistic regression to investigate contextual phenomena. J Epidemiol Community Health 2006; 60:290-297
-
(2006)
J Epidemiol Community Health
, vol.60
, pp. 290-297
-
-
Merlo, J.1
Chaix, B.2
Ohlsson, H.3
-
37
-
-
48249153186
-
Intraclass correlations: Uses in assessing rater reliability
-
Shrout PE, Fleiss JL: Intraclass correlations: Uses in assessing rater reliability. Psychol Bull 1979; 86:420-428
-
(1979)
Psychol Bull
, vol.86
, pp. 420-428
-
-
Shrout, P.E.1
Fleiss, J.L.2
-
38
-
-
0017360990
-
The measurement of observer agreement for categorical data
-
Landis JR, Koch GG: The measurement of observer agreement for categorical data. Biometrics 1977; 33:159-174
-
(1977)
Biometrics
, vol.33
, pp. 159-174
-
-
Landis, J.R.1
Koch, G.G.2
-
39
-
-
84929620214
-
Reply: Trends in sepsis and infection sources in the United States. A population-based study
-
Walkey AJ, Lagu T, Lindenauer PK: Reply: Trends in sepsis and infection sources in the United States. A population-based study. Ann Am Thorac Soc 2015; 12:785
-
(2015)
Ann Am Thorac Soc
, vol.12
, pp. 785
-
-
Walkey, A.J.1
Lagu, T.2
Lindenauer, P.K.3
-
40
-
-
84942588383
-
Development of a hospital outcome measure intended for use with electronic health records: 30-day risk-standardized mortality after acute myocardial infarction
-
McNamara RL, Wang Y, Partovian C, et al: Development of a hospital outcome measure intended for use with electronic health records: 30-day risk-standardized mortality after acute myocardial infarction. Med Care 2015; 53:818-826
-
(2015)
Med Care
, vol.53
, pp. 818-826
-
-
McNamara, R.L.1
Wang, Y.2
Partovian, C.3
-
41
-
-
84907861120
-
National patterns of risk-standardized mortality and readmission after hospitalization for acute myocardial infarction, heart failure, and pneumonia: Update on publicly reported outcomes measures based on the 2013 release
-
Suter LG, Li SX, Grady JN, et al: National patterns of risk-standardized mortality and readmission after hospitalization for acute myocardial infarction, heart failure, and pneumonia: Update on publicly reported outcomes measures based on the 2013 release. J Gen Intern Med 2014; 29:1333-1340
-
(2014)
J Gen Intern Med
, vol.29
, pp. 1333-1340
-
-
Suter, L.G.1
Li, S.X.2
Grady, J.N.3
-
42
-
-
78349308135
-
National patterns of risk-standardized mortality and readmission for acute myocardial infarction and heart failure. Update on publicly reported outcomes measures based on the 2010 release
-
Bernheim SM, Grady JN, Lin Z, et al: National patterns of risk-standardized mortality and readmission for acute myocardial infarction and heart failure. Update on publicly reported outcomes measures based on the 2010 release. Circ Cardiovasc Qual Outcomes 2010; 3:459-467
-
(2010)
Circ Cardiovasc Qual Outcomes
, vol.3
, pp. 459-467
-
-
Bernheim, S.M.1
Grady, J.N.2
Lin, Z.3
-
43
-
-
77956639016
-
The performance of US hospitals as reflected in risk-standardized 30-day mortality and readmission rates for medicare beneficiaries with pneumonia
-
Lindenauer PK, Bernheim SM, Grady JN, et al: The performance of US hospitals as reflected in risk-standardized 30-day mortality and readmission rates for medicare beneficiaries with pneumonia. J Hosp Med 2010; 5:E12-E18
-
(2010)
J Hosp Med
, vol.5
, pp. E12-E18
-
-
Lindenauer, P.K.1
Bernheim, S.M.2
Grady, J.N.3
-
44
-
-
33645754231
-
An administrative claims model suitable for profiling hospital performance based on 30-day mortality rates among patients with an acute myocardial infarction
-
Krumholz HM, Wang Y, Mattera JA, et al: An administrative claims model suitable for profiling hospital performance based on 30-day mortality rates among patients with an acute myocardial infarction. Circulation 2006; 113:1683-1692
-
(2006)
Circulation
, vol.113
, pp. 1683-1692
-
-
Krumholz, H.M.1
Wang, Y.2
Mattera, J.A.3
-
45
-
-
79952469323
-
Development, validation, and results of a measure of 30-day readmission following hospitalization for pneumonia
-
Lindenauer PK, Normand SL, Drye EE, et al: Development, validation, and results of a measure of 30-day readmission following hospitalization for pneumonia. J Hosp Med 2011; 6:142-150
-
(2011)
J Hosp Med
, vol.6
, pp. 142-150
-
-
Lindenauer, P.K.1
Normand, S.L.2
Drye, E.E.3
-
46
-
-
84901367807
-
Identifying patients with severe sepsis using administrative claims: Patient-level validation of the angus implementation of the international consensus conference definition of severe sepsis
-
Iwashyna TJ, Odden A, Rohde J, et al: Identifying patients with severe sepsis using administrative claims: Patient-level validation of the angus implementation of the international consensus conference definition of severe sepsis. Med Care 2014; 52:e39-e43
-
(2014)
Med Care
, vol.52
, pp. e39-e43
-
-
Iwashyna, T.J.1
Odden, A.2
Rohde, J.3
-
47
-
-
85053197505
-
Reporting of sepsis cases for performance measurement versus for reimbursement in New York State
-
Prescott HC, Cope TM, Gesten FC, et al: Reporting of sepsis cases for performance measurement versus for reimbursement in New York State. Crit Care Med 2018; 46:666-673
-
(2018)
Crit Care Med
, vol.46
, pp. 666-673
-
-
Prescott, H.C.1
Cope, T.M.2
Gesten, F.C.3
-
48
-
-
84905752950
-
-
Sacramento, CA, California Office of Statewide Health Planning and Development
-
California Office of Statewide Health Planning and Development, Healthcare: Community-Acquired Pneumonia: Hospital Outcomes in California, 1999-2001. Sacramento, CA, California Office of Statewide Health Planning and Development, 2004. Available at: http://www.oshpd.ca.gov/HID/Products/PatDischargeData/ ResearchReports/OutcomeRpts/CAP/Reports/1999-to-2001.html Edition
-
(2004)
Community-Acquired Pneumonia: Hospital Outcomes in California, 1999-2001
-
-
-
49
-
-
77955672045
-
Comparison of the performance of the CMS Hierarchical Condition Category (CMS-HCC) risk adjuster with the Charlson and Elixhauser comorbidity measures in predicting mortality
-
Li P, Kim MM, Doshi JA: Comparison of the performance of the CMS Hierarchical Condition Category (CMS-HCC) risk adjuster with the Charlson and Elixhauser comorbidity measures in predicting mortality. BMC Health Serv Res 2010; 10:245
-
(2010)
BMC Health Serv Res
, vol.10
, pp. 245
-
-
Li, P.1
Kim, M.M.2
Doshi, J.A.3
-
50
-
-
84928003693
-
Validity of administrative data in recording sepsis: A systematic review
-
Jolley RJ, Sawka KJ, Yergens DW, et al: Validity of administrative data in recording sepsis: A systematic review. Crit Care 2015; 19:139
-
(2015)
Crit Care
, vol.19
, pp. 139
-
-
Jolley, R.J.1
Sawka, K.J.2
Yergens, D.W.3
-
51
-
-
84960426067
-
Validation and optimisation of an ICD- 10-coded case definition for sepsis using administrative health data
-
Jolley RJ, Quan H, Jetté N, et al: Validation and optimisation of an ICD- 10-coded case definition for sepsis using administrative health data. BMJ Open 2015; 5:e009487
-
(2015)
BMJ Open
, vol.5
-
-
Jolley, R.J.1
Quan, H.2
Jetté, N.3
-
52
-
-
33845875694
-
Diagnosis-dependent misclassification of infections using administrative data variably affected incidence and mortality estimates in ICU patients
-
Gedeborg R, Furebring M, Michaëlsson K: Diagnosis-dependent misclassification of infections using administrative data variably affected incidence and mortality estimates in ICU patients. J Clin Epidemiol 2007; 60:155-162
-
(2007)
J Clin Epidemiol
, vol.60
, pp. 155-162
-
-
Gedeborg, R.1
Furebring, M.2
Michaëlsson, K.3
|