The HOSPITAL score and LACE index as predictors of 30 day readmission in a retrospective study at a university-affiliated community hospital

被引:58
|
作者
Robinson, Robert [1 ]
Hudali, Tamer [1 ]
机构
[1] Southern Illinois Univ, Sch Med, Dept Internal Med, Springfield, IL 62702 USA
来源
PEERJ | 2017年 / 5卷
关键词
HOSPITAL score; LACE index; Hospital readmission; Medicare; Evidence based medicine; VALIDATION; RISK;
D O I
10.7717/peerj.3137
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Introduction. Hospital readmissions are common, expensive, and a key target of the Medicare Value Based Purchasing (VBP) program. Validated risk assessment tools such as the HOSPITAL score and LACE index have been developed to identify patients at high risk of hospital readmission so they can be targeted for interventions aimed at reducing the rate of readmission. This study aims to evaluate the utility of HOSPITAL score and LACE index for predicting hospital readmission within 30 days in a moderate-sized university affiliated hospital in the midwestern United States. Materials and Methods. All adult medical patients who underwent one or more ICD-10 defined procedures discharged from the SIU-SOM Hospitalist service from Memorial Medical Center (MMC) from October 15, 2015 to March 16, 2016, were studied retrospectively to determine if the HOSPITAL score and LACE index were a significant predictors of hospital readmission within 30 days. Results. During the study period, 463 discharges were recorded for the hospitalist service. The analysis includes data for the 432 discharges. Patients who died during the hospital stay, were transferred to another hospital, or left against medical advice were excluded. Of these patients, 35 (8%) were readmitted to the same hospital within 30 days. A receiver operating characteristic evaluation of the HOSPITAL score for this patient population shows a C statistic of 0.75 (95% CI [0.67-0.83]), indicating good discrimination for hospital readmission. The Brier score for the HOSPITAL score in this setting was 0.069, indicating good overall performance. The Hosmer-Lemeshow goodness of fit test shows a chi(2) value of 3.71 with a p value of 0.59. A receiver operating characteristic evaluation of the LACE index for this patient population shows a C statistic of 0.58 (95% CI [0.48-0.68]), indicating poor discrimination for hospital readmission. The Brier score for the LACE index in this setting was 0.082, indicating good overall performance. The Hosmer-Lemeshow goodness of fit test shows a chi(2) value of 4.97 with a p value of 0.66. Discussion. This single center retrospective study indicates that the HOSPITAL score has superior discriminatory ability when compared to the LACE index as a predictor of hospital readmission within 30 days at a medium-sized university-affiliated teaching hospital. Conclusions. The internationally validated HOSPITAL score may be superior to the LACE index in moderate-sized community hospitals to identify patients at high risk of hospital readmission within 30 days.
引用
收藏
页数:13
相关论文
共 50 条
  • [31] Predictors of 30-Day Hospital Readmission among Maintenance Hemodialysis Patients: A Hospital's Perspective
    Flythe, Jennifer E.
    Katsanos, Suzanne L.
    Hu, Yichun
    Kshirsagar, Abhijit V.
    Falk, Ronald J.
    Moore, Carlton R.
    CLINICAL JOURNAL OF THE AMERICAN SOCIETY OF NEPHROLOGY, 2016, 11 (06): : 1005 - 1014
  • [32] Predictors of 30-Day Hospital Readmission Following Ischemic and Hemorrhagic Stroke
    Strowd, Roy E.
    Wise, Starla M.
    Umesi, U. Natalie
    Bishop, Laura
    Craig, Jeffrey
    Lefkowitz, David
    Reynolds, Patrick S.
    Tegeler, Charles
    Arnan, Martinson
    Duncan, Pamela W.
    Bushnell, Cheryl D.
    AMERICAN JOURNAL OF MEDICAL QUALITY, 2015, 30 (05) : 441 - 446
  • [33] Frailty and Function in Heart Failure: Predictors of 30-Day Hospital Readmission?
    Keeney, Tamra
    Jette, Diane U.
    Cabral, Howard
    Jette, Alan M.
    JOURNAL OF GERIATRIC PHYSICAL THERAPY, 2021, 44 (02) : 101 - 107
  • [34] Predictors of 30-day hospital readmission after coronary artery bypass
    Stewart, RD
    Campos, CT
    Jennings, B
    Lollis, SS
    Levitsky, S
    Lahey, SJ
    ANNALS OF THORACIC SURGERY, 2000, 70 (01): : 169 - 174
  • [35] Derivation and validation of a 30-day hospital readmission risk index.
    McConachie, Sean
    Franckowiak, Taylor
    Yost, Raymond
    Raub, Joshua
    MacDonald, Joanne
    Risko, Kenneth
    Garwood, Candice
    Petrovitch, Elizabeth
    PHARMACOTHERAPY, 2017, 37 (06): : E39 - E39
  • [36] Association Of The Lace plus Score With Unplanned 30-day Hospital Readmissions After Stroke
    Grigoriciuc, Eliza
    Henninger, Nils
    Silver, Brian
    Kobayashi, Kimiyoshi
    Moonis, Majaz
    Osgood, Marcey
    Jun-oconnell, Adalia H.
    STROKE, 2022, 53
  • [37] Predictors of 30-Day Readmission Following Inpatient Rehabilitation for Patients at High Risk for Hospital Readmission
    Fisher, Steve R.
    Graham, James E.
    Krishnan, Shilpa
    Ottenbacher, Kenneth J.
    PHYSICAL THERAPY, 2016, 96 (01): : 62 - 70
  • [38] Association between administration of gabapentin or pregabalin before surgery and 30-day hospital readmission: A retrospective hospital registry study
    Wachtendorf, Luca J.
    Schaefer, Maximilian S.
    Santer, Peter
    Azimaraghi, Omid
    Obeidat, Salameh S.
    Friedrich, Sabine
    Zucco, Liana
    Woo, Albert
    Nabel, Sarah
    Sundar, Eswar
    Eikermann, Matthias
    Ramachandran, Satya Krishna
    ANESTHESIA AND ANALGESIA, 2021, 132 (5S_SUPPL): : 77 - 77
  • [39] A machine learning model for predicting risk of hospital readmission within 30 days of discharge: validated with LACE index and patient at risk of hospital readmission (PARR) model
    Mirza Mansoor Baig
    Ning Hua
    Edmond Zhang
    Reece Robinson
    Anna Spyker
    Delwyn Armstrong
    Robyn Whittaker
    Tom Robinson
    Ehsan Ullah
    Medical & Biological Engineering & Computing, 2020, 58 : 1459 - 1466
  • [40] A machine learning model for predicting risk of hospital readmission within 30 days of discharge: validated with LACE index and patient at risk of hospital readmission (PARR) model
    Baig, Mirza Mansoor
    Hua, Ning
    Zhang, Edmond
    Robinson, Reece
    Spyker, Anna
    Armstrong, Delwyn
    Whittaker, Robyn
    Robinson, Tom
    Ullah, Ehsan
    MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 2020, 58 (07) : 1459 - 1466