121 related articles for article (PubMed ID: 9928588)
1. Laboratory values improve predictions of hospital mortality.
Pine M; Jones B; Lou YB
Int J Qual Health Care; 1998 Dec; 10(6):491-501. PubMed ID: 9928588
[TBL] [Abstract][Full Text] [Related]
2. Predictions of hospital mortality rates: a comparison of data sources.
Pine M; Norusis M; Jones B; Rosenthal GE
Ann Intern Med; 1997 Mar; 126(5):347-54. PubMed ID: 9054278
[TBL] [Abstract][Full Text] [Related]
3. Risk-Adjusted In-Hospital Mortality Models for Congestive Heart Failure and Acute Myocardial Infarction: Value of Clinical Laboratory Data and Race/Ethnicity.
Lim E; Cheng Y; Reuschel C; Mbowe O; Ahn HJ; Juarez DT; Miyamura J; Seto TB; Chen JJ
Health Serv Res; 2015 Aug; 50 Suppl 1(Suppl 1):1351-71. PubMed ID: 26073945
[TBL] [Abstract][Full Text] [Related]
4. Enhancement of claims data to improve risk adjustment of hospital mortality.
Pine M; Jordan HS; Elixhauser A; Fry DE; Hoaglin DC; Jones B; Meimban R; Warner D; Gonzales J
JAMA; 2007 Jan; 297(1):71-6. PubMed ID: 17200477
[TBL] [Abstract][Full Text] [Related]
5. Using automated clinical data for risk adjustment: development and validation of six disease-specific mortality predictive models for pay-for-performance.
Tabak YP; Johannes RS; Silber JH
Med Care; 2007 Aug; 45(8):789-805. PubMed ID: 17667314
[TBL] [Abstract][Full Text] [Related]
6. Adding Laboratory Data to Hospital Claims Data to Improve Risk Adjustment of Inpatient/30-Day Postdischarge Outcomes.
Pine M; Fry DE; Hannan EL; Naessens JM; Whitman K; Reband A; Qian F; Schindler J; Sonneborn M; Roland J; Hyde L; Dennison BA
Am J Med Qual; 2017; 32(2):141-147. PubMed ID: 26917809
[TBL] [Abstract][Full Text] [Related]
7. Modifying ICD-9-CM coding of secondary diagnoses to improve risk-adjustment of inpatient mortality rates.
Pine M; Jordan HS; Elixhauser A; Fry DE; Hoaglin DC; Jones B; Meimban R; Warner D; Gonzales J
Med Decis Making; 2009; 29(1):69-81. PubMed ID: 18812585
[TBL] [Abstract][Full Text] [Related]
8. A hybrid Centers for Medicaid and Medicare service mortality model in 3 diagnoses.
Render ML; Almenoff PL; Christianson A; Sales AE; Czarnecki T; Deddens JA; Freyberg RW; Eyman J; Hofer TP
Med Care; 2012 Jun; 50(6):520-6. PubMed ID: 22584887
[TBL] [Abstract][Full Text] [Related]
9. Development and testing of a systemic lupus-specific risk adjustment index for in-hospital mortality.
Ward MM
J Rheumatol; 2000 Jun; 27(6):1408-13. PubMed ID: 10852262
[TBL] [Abstract][Full Text] [Related]
10. Risk-adjusting acute myocardial infarction mortality: are APR-DRGs the right tool?
Romano PS; Chan BK
Health Serv Res; 2000 Mar; 34(7):1469-89. PubMed ID: 10737448
[TBL] [Abstract][Full Text] [Related]
11. Impact of the present-on-admission indicator on hospital quality measurement: experience with the Agency for Healthcare Research and Quality (AHRQ) Inpatient Quality Indicators.
Glance LG; Osler TM; Mukamel DB; Dick AW
Med Care; 2008 Feb; 46(2):112-9. PubMed ID: 18219238
[TBL] [Abstract][Full Text] [Related]
12. Development and validation of a model that uses enhanced administrative data to predict mortality in patients with sepsis.
Lagu T; Lindenauer PK; Rothberg MB; Nathanson BH; Pekow PS; Steingrub JS; Higgins TL
Crit Care Med; 2011 Nov; 39(11):2425-30. PubMed ID: 22005222
[TBL] [Abstract][Full Text] [Related]
13. Using administrative data for mortality risk adjustment in pediatric congenital cardiac surgery.
Kane JM; Scalcucci J; Hohmann SF; Johnson T; Behal R
Pediatr Crit Care Med; 2013 Jun; 14(5):491-8. PubMed ID: 23628836
[TBL] [Abstract][Full Text] [Related]
14. Risk-adjustment models for heart failure patients' 30-day mortality and readmission rates: the incremental value of clinical data abstracted from medical charts beyond hospital discharge record.
Lenzi J; Avaldi VM; Hernandez-Boussard T; Descovich C; Castaldini I; Urbinati S; Di Pasquale G; Rucci P; Fantini MP
BMC Health Serv Res; 2016 Sep; 16(1):473. PubMed ID: 27600617
[TBL] [Abstract][Full Text] [Related]
15. Comorbidities, complications, and coding bias. Does the number of diagnosis codes matter in predicting in-hospital mortality?
Iezzoni LI; Foley SM; Daley J; Hughes J; Fisher ES; Heeren T
JAMA; 1992 Apr 22-29; 267(16):2197-203. PubMed ID: 1556797
[TBL] [Abstract][Full Text] [Related]
16. Comparison of the performance of two comorbidity measures, with and without information from prior hospitalizations.
Stukenborg GJ; Wagner DP; Connors AF
Med Care; 2001 Jul; 39(7):727-39. PubMed ID: 11458137
[TBL] [Abstract][Full Text] [Related]
17. Should we add clinical variables to administrative data?: The case of risk-adjusted case fatality rates after admission for acute myocardial infarction.
Johnston TC; Coory MD; Scott I; Duckett S
Med Care; 2007 Dec; 45(12):1180-5. PubMed ID: 18007168
[TBL] [Abstract][Full Text] [Related]
18. Relationship between Medicare's hospital compare performance measures and mortality rates.
Werner RM; Bradlow ET
JAMA; 2006 Dec; 296(22):2694-702. PubMed ID: 17164455
[TBL] [Abstract][Full Text] [Related]
19. Variations in standardized hospital mortality rates for six common medical diagnoses: implications for profiling hospital quality.
Rosenthal GE; Shah A; Way LE; Harper DL
Med Care; 1998 Jul; 36(7):955-64. PubMed ID: 9674614
[TBL] [Abstract][Full Text] [Related]
20. The importance of laboratory data for comparing outcomes and detecting 'outlier' wards in the treatment of patients with pneumonia.
Maor Y; Rubin HR; Gabbai U; Mozes B
J Health Serv Res Policy; 1998 Jan; 3(1):39-43. PubMed ID: 10180388
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
