-
1
-
-
84969376984
-
Executive summary: Heart disease and stroke statistics-2016 update: A report from the American Heart Association
-
Writing Group Members; American Heart Association Statistics Committee; Stroke Statistics Subcommittee
-
Mozaffarian D, Benjamin EJ, Go AS, et al; Writing Group Members; American Heart Association Statistics Committee; Stroke Statistics Subcommittee. Executive summary: heart disease and stroke statistics-2016 update: a report from the American Heart Association. Circulation. 2016; 133(4):447-454.
-
(2016)
Circulation
, vol.133
, Issue.4
, pp. 447-454
-
-
Mozaffarian, D.1
Benjamin, E.J.2
Go, A.S.3
-
2
-
-
84857121676
-
-
US Centers for Medicare and Medicaid Services. Accessed November 18, 2017
-
US Centers for Medicare and Medicaid Services. Hospital quality initiative: outcome measures. https://www.cms.gov/Medicare/Quality-Initiatives-Patient-Assessment-Instruments/HospitalQualityInits/OutcomeMeasures.html. Accessed November 18, 2017.
-
Hospital Quality Initiative: Outcome Measures
-
-
-
3
-
-
84883858193
-
Hospital inpatient prospective payment systems for acute care hospitals and the long-term care hospital prospective payment system and fiscal year 2014 rates; quality reporting requirements for specific providers; hospital conditions of participation; payment policies related to patient status
-
Medicare Program
-
Medicare Program; hospital inpatient prospective payment systems for acute care hospitals and the long-term care hospital prospective payment system and fiscal year 2014 rates; quality reporting requirements for specific providers; hospital conditions of participation; payment policies related to patient status. Fed Regist. 2013;78(160):50676-50729.
-
(2013)
Fed Regist
, vol.78
, Issue.160
, pp. 50676-50729
-
-
-
4
-
-
84883858193
-
Hospital inpatient prospective payment systems for acute care hospitals and the long-term care hospital prospective payment system and fiscal year 2014 rates; quality reporting requirements for specific providers; hospital conditions of participation; payment policies related to patient status
-
Medicare Program
-
Medicare Program; hospital inpatient prospective payment systems for acute care hospitals and the long-term care hospital prospective payment system and fiscal year 2014 rates; quality reporting requirements for specific providers; hospital conditions of participation; payment policies related to patient status. Fed Regist. 2013;78(160):50649-50676.
-
(2013)
Fed Regist
, vol.78
, Issue.160
, pp. 50649-50676
-
-
-
5
-
-
84990058837
-
Life expectancy aftermyocardial infarction, according to hospital performance
-
Bucholz EM, Butala NM, Ma S, Normand ST, Krumholz HM. Life expectancy aftermyocardial infarction, according to hospital performance. N Engl J Med. 2016;375(14):1332-1342.
-
(2016)
N Engl J Med
, vol.375
, Issue.14
, pp. 1332-1342
-
-
Bucholz, E.M.1
Butala, N.M.2
Ma, S.3
Normand, S.T.4
Krumholz, H.M.5
-
6
-
-
33845473106
-
Overview of the American Heart Association "Get With The Guidelines" programs: Coronary heart disease, stroke, and heart failure
-
Hong Y, LaBresh KA. Overview of the American Heart Association "Get With The Guidelines" programs: coronary heart disease, stroke, and heart failure. Crit Pathw Cardiol. 2006;5(4):179-186.
-
(2006)
Crit Pathw Cardiol
, vol.5
, Issue.4
, pp. 179-186
-
-
Hong, Y.1
LaBresh, K.A.2
-
7
-
-
7044223312
-
The American Heart Association Get With The Guidelines program
-
American Heart Association., (, suppl
-
Smaha LA; American Heart Association. The American Heart Association Get With The Guidelines program. Am Heart J. 2004;148(5, suppl):S46-S48.
-
(2004)
Am Heart J
, vol.148
, Issue.5
, pp. S46-S48
-
-
Smaha, L.A.1
-
8
-
-
67049159418
-
Linking inpatient clinical registry data to Medicare claims data using indirect identifiers
-
Hammill BG, Hernandez AF, Peterson ED, Fonarow GC, Schulman KA, Curtis LH. Linking inpatient clinical registry data to Medicare claims data using indirect identifiers. Am Heart J. 2009; 157(6):995-1000.
-
(2009)
Am Heart J
, vol.157
, Issue.6
, pp. 995-1000
-
-
Hammill, B.G.1
Hernandez, A.F.2
Peterson, E.D.3
Fonarow, G.C.4
Schulman, K.A.5
Curtis, L.H.6
-
9
-
-
84855280813
-
Comparison of hospital risk-standardized 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 risk-standardized mortality rates calculated by using in-hospital and 30-day models: an observational study with implications for hospital profiling. Ann Intern Med. 2012;156(1, pt 1): 19-26.
-
(2012)
Ann Intern Med
, vol.156
, Issue.1
, pp. 19-26
-
-
Drye, E.E.1
Normand, S.L.2
Wang, Y.3
-
10
-
-
85025834921
-
Association of changing hospital readmission rates with mortality rates after hospital discharge
-
Dharmarajan K, Wang Y, Lin Z, et al. Association of changing hospital readmission rates with mortality rates after hospital discharge. JAMA. 2017;318(3):270-278.
-
(2017)
JAMA
, vol.318
, Issue.3
, pp. 270-278
-
-
Dharmarajan, K.1
Wang, Y.2
Lin, Z.3
-
11
-
-
85032024752
-
The hospital readmission reduction program is associated with fewer readmissions, more deaths: Time to reconsider
-
Fonarow GC, Konstam MA, Yancy CW. The Hospital Readmission Reduction Program is associated with fewer readmissions, more deaths: Time to reconsider. J Am Coll Cardiol. 2017;70(15): 1931-1934.
-
(2017)
J Am Coll Cardiol
, vol.70
, Issue.15
, pp. 1931-1934
-
-
Fonarow, G.C.1
Konstam, M.A.2
Yancy, C.W.3
-
12
-
-
85041469787
-
Association of the hospital readmissions reduction program implementation with readmission and mortality outcomes in heart failure
-
Gupta A, Allen LA, Bhatt DL, et al. Association of the Hospital Readmissions Reduction Program implementation with readmission and mortality outcomes in heart failure. JAMA Cardiol. 2018;3(1): 44-53.
-
(2018)
JAMA Cardiol
, vol.3
, Issue.1
, pp. 44-53
-
-
Gupta, A.1
Allen, L.A.2
Bhatt, D.L.3
-
13
-
-
84999188071
-
Association of 30-day readmission metric for heart failure under the Hospital Readmissions Reduction Program with quality of care and outcomes
-
Pandey A, Golwala H, Xu H, et al. Association of 30-day readmission metric for heart failure under the Hospital Readmissions Reduction Program with quality of care and outcomes. JACC Heart Fail. 2016; 4 (12): 935-946.
-
(2016)
JACC Heart Fail
, vol.4
, Issue.12
, pp. 935-946
-
-
Pandey, A.1
Golwala, H.2
Xu, H.3
-
14
-
-
84859526005
-
Thirty-day readmissions: Truth and consequences
-
Joynt KE, Jha AK. Thirty-day readmissions: Truth and consequences. N Engl J Med. 2012; 366 (15): 1366-1369.
-
(2012)
N Engl J Med
, vol.366
, Issue.15
, pp. 1366-1369
-
-
Joynt, K.E.1
Jha, A.K.2
-
15
-
-
84879266656
-
Limits of readmission rates in measuring hospital quality suggest the need for added metrics
-
Press MJ, Scanlon DP, Ryan AM, et al. Limits of readmission rates in measuring hospital quality suggest the need for added metrics. Health Aff (Millwood). 2013;32(6):1083-1091.
-
(2013)
Health Aff (Millwood)
, vol.32
, Issue.6
, pp. 1083-1091
-
-
Press, M.J.1
Scanlon, D.P.2
Ryan, A.M.3
-
16
-
-
85031672770
-
Association of US Centers for Medicare and Medicaid Services hospital 30-day risk-standardized readmission metric with care quality and outcomes after acute myocardial infarction: Findings from the National Cardiovascular Data Registry/Acute Coronary Treatment and Intervention Outcomes Network Registry-Get With The Guidelines
-
Pandey A, Golwala H, Hall HM, et al. Association of US Centers for Medicare and Medicaid Services hospital 30-day risk-standardized readmission metric with care quality and outcomes after acute myocardial infarction: findings from the National Cardiovascular Data Registry/Acute Coronary Treatment and Intervention Outcomes Network Registry-Get With The Guidelines. JAMA Cardiol. 2017; 2 (7): 723-731.
-
(2017)
JAMA Cardiol
, vol.2
, Issue.7
, pp. 723-731
-
-
Pandey, A.1
Golwala, H.2
Hall, H.M.3
-
17
-
-
85030754577
-
Association between Medicare hospital readmission penalties and 30-day combined excess readmission and mortality
-
Abdul-Aziz AA, Hayward RA, Aaronson KD, Hummel SL. Association between Medicare hospital readmission penalties and 30-day combined excess readmission and mortality. JAMA Cardiol. 2017; 2 (2): 200-203.
-
(2017)
JAMA Cardiol
, vol.2
, Issue.2
, pp. 200-203
-
-
Abdul-Aziz, A.A.1
Hayward, R.A.2
Aaronson, K.D.3
Hummel, S.L.4
-
18
-
-
85041667800
-
Association of coded severity with readmission reduction after the Hospital Readmissions Reduction Program
-
Ibrahim AM, Dimick JB, Sinha SS, Hollingsworth JM, Nuliyalu U, Ryan AM. Association of coded severity with readmission reduction after the Hospital Readmissions Reduction Program. JAMA Intern Med. 2018;178(2):290-292.
-
(2018)
JAMA Intern Med
, vol.178
, Issue.2
, pp. 290-292
-
-
Ibrahim, A.M.1
Dimick, J.B.2
Sinha, S.S.3
Hollingsworth, J.M.4
Nuliyalu, U.5
Ryan, A.M.6
-
19
-
-
84951862015
-
Sisyphus and 30-day heart failure readmissions: Futility in predicting a flawed outcome metric
-
Konstam MA, Upshaw J. Sisyphus and 30-day heart failure readmissions: futility in predicting a flawed outcome metric. JACC Heart Fail. 2016;4(1): 21-23.
-
(2016)
JACC Heart Fail
, vol.4
, Issue.1
, pp. 21-23
-
-
Konstam, M.A.1
Upshaw, J.2
-
20
-
-
77649101171
-
Representativeness of a national heart failure quality-of-care registry: Comparison of OPTIMIZE-HF and non-OPTIMIZE-HF Medicare patients
-
Curtis LH, Greiner MA, Hammill BG, et al. Representativeness of a national heart failure quality-of-care registry: comparison of OPTIMIZE-HF and non-OPTIMIZE-HF Medicare patients. Circ Cardiovasc Qual Outcomes. 2009;2 (4):377-384.
-
(2009)
Circ Cardiovasc Qual Outcomes
, vol.2
, Issue.4
, pp. 377-384
-
-
Curtis, L.H.1
Greiner, M.A.2
Hammill, B.G.3
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