-
1
-
-
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
, pp. e17401
-
-
Bratzler, D.W.1
Normand, S.L.2
Wang, Y.3
-
2
-
-
0034002078
-
Co-morbidity data in outcomes research: Are clinical data derived from administrative databases a reliable alternative to chart review?
-
Humphries KH, Rankin JM, Carere RG, et al. Co-morbidity data in outcomes research: are clinical data derived from administrative databases a reliable alternative to chart review? J Clin Epidemiol. 2000;53:343-349.
-
(2000)
J Clin Epidemiol.
, vol.53
, pp. 343-349
-
-
Humphries, K.H.1
Rankin, J.M.2
Carere, R.G.3
-
3
-
-
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
-
4
-
-
33645794744
-
An administrative claims model suitable for profiling hospital performance based on 30-day mortality rates among patients with heart failure
-
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 heart failure. Circulation. 2006;113:1693-1701.
-
(2006)
Circulation
, vol.113
, pp. 1693-1701
-
-
Krumholz, H.M.1
Wang, Y.2
Mattera, J.A.3
-
5
-
-
33644870359
-
Strategies to ease data collection burden
-
11
-
Gaul L, Shalosky R. Strategies to ease data collection burden. Hosp Peer Rev. 2006;31:6, 11.
-
(2006)
Hosp Peer Rev.
, vol.31
, pp. 6
-
-
Gaul, L.1
Shalosky, R.2
-
6
-
-
84887783503
-
The predictability of claim-databased comorbidity-adjusted models could be improved by using medication data
-
Bang JH, Hwang SH, Lee EJ, et al. The predictability of claim-databased comorbidity-adjusted models could be improved by using medication data. BMC Med Inform Decis Mak. 2013;13:128.
-
(2013)
BMC Med Inform Decis Mak.
, vol.13
, pp. 128
-
-
Bang, J.H.1
Hwang, S.H.2
Lee, E.J.3
-
8
-
-
78049334037
-
An automated model to identify heart failure patients at risk for 30-day readmission or death using electronic medical record data
-
Amarasingham R, Moore BJ, Tabak YP, et al. An automated model to identify heart failure patients at risk for 30-day readmission or death using electronic medical record data. Med Care. 2010;48:981-988.
-
(2010)
Med Care.
, vol.48
, pp. 981-988
-
-
Amarasingham, R.1
Moore, B.J.2
Tabak, Y.P.3
-
9
-
-
84889640474
-
The readmission risk flag: Using the electronic health record to automatically identify patients at risk for 30-day readmission
-
Baillie CA, Van Zandbergen C, Tait G, et al. The readmission risk flag: using the electronic health record to automatically identify patients at risk for 30-day readmission. J Hosp Med. 2013;8:689-695.
-
(2013)
J Hosp Med.
, vol.8
, pp. 689-695
-
-
Baillie, C.A.1
Van Zandbergen, C.2
Tait, G.3
-
10
-
-
0035195534
-
American College of Cardiology key data elements and definitions for measuring the clinical management and outcomes of patients with acute coronary syndromes. A report of the American College of Cardiology Task Force on Clinical Data Standards (Acute Coronary Syndromes Writing Committee)
-
Cannon CP, Battler A, Brindis RG, et al. American College of Cardiology key data elements and definitions for measuring the clinical management and outcomes of patients with acute coronary syndromes. A report of the American College of Cardiology Task Force on Clinical Data Standards (Acute Coronary Syndromes Writing Committee). J Am Coll Cardiol. 2001;38:2114-2130.
-
(2001)
J Am Coll Cardiol.
, vol.38
, pp. 2114-2130
-
-
Cannon, C.P.1
Battler, A.2
Brindis, R.G.3
-
11
-
-
78650266798
-
Risk adjustment for in-hospital mortality of contemporary patients with acute myocardial infarction: The acute coronary treatment and intervention outcomes network (ACTION) registry-get with the guidelines (GWTG) acute myocardial infarction mortality model and risk score
-
Chin CT, Chen AY, Wang TY, et al. Risk adjustment for in-hospital mortality of contemporary patients with acute myocardial infarction: the acute coronary treatment and intervention outcomes network (ACTION) registry-get with the guidelines (GWTG) acute myocardial infarction mortality model and risk score. Am Heart J. 2011;161:113-122.e2.
-
(2011)
Am Heart J.
, vol.161
, pp. 113-122e2
-
-
Chin, C.T.1
Chen, A.Y.2
Wang, T.Y.3
-
12
-
-
58149374374
-
ACC/AHA 2008 performance measures for adults with ST-elevation and non-STelevation myocardial infarction
-
Krumholz HM, Anderson JL, Bachelder BL, et al. ACC/AHA 2008 performance measures for adults with ST-elevation and non-STelevation myocardial infarction: a report of the American College of Cardiology/American Heart Association Task Force on Performance Measures (Writing Committee to develop performance measures for STelevation and non-ST-elevation myocardial infarction): developed in collaboration with the American Academy of Family Physicians and the American College of Emergency Physicians: endorsed by the American Association of Cardiovascular and Pulmonary Rehabilitation, Society for Cardiovascular Angiography and Interventions, and Society of Hospital Medicine. Circulation. 2008;118:2596-2648.
-
(2008)
Circulation
, vol.118
, pp. 2596-2648
-
-
Krumholz, H.M.1
Anderson, J.L.2
Bachelder, B.L.3
-
14
-
-
78449245067
-
The NCDR ACTION Registry-GWTG: Transforming contemporary acute myocardial infarction clinical care
-
Peterson ED, Roe MT, Chen AY, et al. The NCDR ACTION Registry-GWTG: transforming contemporary acute myocardial infarction clinical care. Heart. 2010;96:1798-1802.
-
(2010)
Heart.
, vol.96
, pp. 1798-1802
-
-
Peterson, E.D.1
Roe, M.T.2
Chen, A.Y.3
-
15
-
-
84867397624
-
The National Cardiovascular Data Registry (NCDR) Data Quality Brief: The NCDR Data Quality Program in 2012
-
Messenger JC, Ho KKL, Young CH, et al. The National Cardiovascular Data Registry (NCDR) Data Quality Brief: the NCDR Data Quality Program in 2012. J Am Coll Cardiol. 2012;60:1484-1488.
-
(2012)
J Am Coll Cardiol.
, vol.60
, pp. 1484-1488
-
-
Messenger, J.C.1
Ho, K.K.L.2
Young, C.H.3
-
16
-
-
0026855779
-
Studying outcomes and hospital utilization in the elderly. The advantages of a merged data base for Medicare and Veterans Affairs hospitals
-
Fleming C, Fisher ES, Chang CH, et al. Studying outcomes and hospital utilization in the elderly. The advantages of a merged data base for Medicare and Veterans Affairs hospitals. Med Care. 1992;30:377-391.
-
(1992)
Med Care.
, vol.30
, pp. 377-391
-
-
Fleming, C.1
Fisher, E.S.2
Chang, C.H.3
-
17
-
-
84857379892
-
-
Accessed August 24, 2012
-
Bernheim SM, Wang Y, Spivack S, et al. Measures maintenance technical report: acute myocardial infarction, heart failure, and pneumonia 30-day risk-standardized mortality measures.. 2012. Available at: https://www.qualitynet.org/dcs/ContentServer?c=Page&pagename=QnetPublic%2FPage%2FQnetTier4&cid=1163010421830. Accessed August 24, 2012.
-
(2012)
Measures Maintenance Technical Report: Acute Myocardial Infarction, Heart Failure, and Pneumonia 30-day Risk-standardized Mortality measures..
-
-
Bernheim, S.M.1
Wang, Y.2
Spivack, S.3
-
18
-
-
33644856925
-
Standards for statistical models used for public reporting of health outcomes: An American Heart Association Scientific Statement from the Quality of Care and Outcomes Research Interdisciplinary Writing Group: Cosponsored by the Council on Epidemiology and Prevention and the Stroke Council. Endorsed by the American College of Cardiology Foundation
-
Krumholz HM, Brindis RG, Brush JE, et al. Standards for statistical models used for public reporting of health outcomes: an American Heart Association Scientific Statement from the Quality of Care and Outcomes Research Interdisciplinary Writing Group: cosponsored by the Council on Epidemiology and Prevention and the Stroke Council. Endorsed by the American College of Cardiology Foundation. Circulation. 2006;113:456-462.
-
(2006)
Circulation
, vol.113
, pp. 456-462
-
-
Krumholz, H.M.1
Brindis, R.G.2
Brush, J.E.3
-
20
-
-
4243534883
-
Estimation of radioimmunoassay data using robust nonlinear regression methods
-
Altenburg HP. Estimation of radioimmunoassay data using robust nonlinear regression methods. Computational Statistics. 1992;1:367-372.
-
(1992)
Computational Statistics.
, vol.1
, pp. 367-372
-
-
Altenburg, H.P.1
-
21
-
-
52449143161
-
Trimming and winsorization: A review
-
Dixon WJ, Yuen KK. Trimming and winsorization: a review. Statistische Hefte. 1974;15:157-170.
-
(1974)
Statistische Hefte.
, vol.15
, pp. 157-170
-
-
Dixon, W.J.1
Yuen, K.K.2
-
22
-
-
0442325063
-
Hierarchical generalized linear models in the analysis of variations in health care utilization
-
Daniels MJ, Gatsonis C. Hierarchical generalized linear models in the analysis of variations in health care utilization. J Am Stat Assoc. 1999;94:29-42.
-
(1999)
J Am Stat Assoc.
, vol.94
, pp. 29-42
-
-
Daniels, M.J.1
Gatsonis, C.2
-
23
-
-
77955295667
-
The "meaningful use" regulation for electronic health records
-
Blumenthal D, Tavenner M. The "meaningful use" regulation for electronic health records. N Engl J Med. 2010;363:501-504.
-
(2010)
N Engl J Med.
, vol.363
, pp. 501-504
-
-
Blumenthal, D.1
Tavenner, M.2
-
24
-
-
84894178125
-
Setting the standard: EHR quality reporting rises in prominence due to meaningful use
-
Dolin RH, Goodrich K, Kallem C, et al. Setting the standard: EHR quality reporting rises in prominence due to meaningful use. J AHIMA. 2014;85:42-48.
-
(2014)
J AHIMA.
, vol.85
, pp. 42-48
-
-
Dolin, R.H.1
Goodrich, K.2
Kallem, C.3
-
25
-
-
0034776349
-
A simple benchmark for evaluating quality of care of patients following acute myocardial infarction
-
Dorsch MF, Lawrance RA, Sapsford RJ, et al. A simple benchmark for evaluating quality of care of patients following acute myocardial infarction. Heart. 2001;86:150-154.
-
(2001)
Heart.
, vol.86
, pp. 150-154
-
-
Dorsch, M.F.1
Lawrance, R.A.2
Sapsford, R.J.3
-
26
-
-
0033564048
-
Comparing AMI mortality among hospitals in patients 65 years of age and older: Evaluating methods of risk adjustment
-
Krumholz HM, Chen J, Wang Y, et al. Comparing AMI mortality among hospitals in patients 65 years of age and older: evaluating methods of risk adjustment. Circulation. 1999;99:2986-2992.
-
(1999)
Circulation
, vol.99
, pp. 2986-2992
-
-
Krumholz, H.M.1
Chen, J.2
Wang, Y.3
-
27
-
-
79959694052
-
Impact of independent data adjudication on hospital-specific estimates of risk-adjusted mortality following percutaneous coronary interventions in Massachusetts
-
Barringhaus KG, Zelevinsky K, Lovett A, et al. Impact of independent data adjudication on hospital-specific estimates of risk-adjusted mortality following percutaneous coronary interventions in massachusetts. Circ Cardiovasc Qual Outcomes. 2011;4:92-98.
-
(2011)
Circ Cardiovasc Qual Outcomes.
, vol.4
, pp. 92-98
-
-
Barringhaus, K.G.1
Zelevinsky, K.2
Lovett, A.3
-
28
-
-
84859178189
-
Use and effectiveness of intraaortic balloon pumps among patients undergoing high risk percutaneous coronary intervention: Insights from the National Cardiovascular Data Registry
-
Curtis JP, Rathore SS, Wang Y, et al. Use and effectiveness of intraaortic balloon pumps among patients undergoing high risk percutaneous coronary intervention: insights from the National Cardiovascular Data Registry. Circ Cardiovasc Qual Outcomes. 2012;5:21-30.
-
(2012)
Circ Cardiovasc Qual Outcomes.
, vol.5
, pp. 21-30
-
-
Curtis, J.P.1
Rathore, S.S.2
Wang, Y.3
-
29
-
-
84855280813
-
Comparison of hospital riskstandardized mortality rates calculated by using in-hospital and 30-day models: An observational study with implications for hospital profiling
-
Drye EE, Normand SL, Wang Y, et al. Comparison of hospital riskstandardized mortality rates calculated by using in-hospital and 30-day models: an observational study with implications for hospital profiling. Ann Intern Med. 2012;156(pt 1):19-26.
-
(2012)
Ann Intern Med.
, vol.156
, pp. 19-26
-
-
Drye, E.E.1
Normand, S.L.2
Wang, Y.3
-
30
-
-
0027741083
-
Discordance of databases designed for claims payment versus clinical information systems. Implications for outcomes research
-
Jollis JG, Ancukiewicz M, De Long ER, et al. Discordance of databases designed for claims payment versus clinical information systems. Implications for outcomes research. Ann Intern Med. 1993;119:844-850.
-
(1993)
Ann Intern Med.
, vol.119
, pp. 844-850
-
-
Jollis, J.G.1
Ancukiewicz, M.2
De Long, E.R.3
-
31
-
-
33845401811
-
Comparison of methodologies for calculating quality measures based on administrative data versus clinical data from an electronic health record system: Implications for performance measures
-
Tang PC, Ralston M, Arrigotti MF, et al. Comparison of methodologies for calculating quality measures based on administrative data versus clinical data from an electronic health record system: implications for performance measures. J Am Med Inform Assoc. 2007;14:10-15.
-
(2007)
J Am Med Inform Assoc.
, vol.14
, pp. 10-15
-
-
Tang, P.C.1
Ralston, M.2
Arrigotti, M.F.3
-
32
-
-
67049159418
-
Linking inpatient clinical registry data to Medicare claims data using indirect identifiers
-
Hammill BG, Hernandez AF, Peterson ED, et al. Linking inpatient clinical registry data to Medicare claims data using indirect identifiers. Am Heart J. 2009;157:995-1000.
-
(2009)
Am Heart J.
, vol.157
, pp. 995-1000
-
-
Hammill, B.G.1
Hernandez, A.F.2
Peterson, E.D.3
|