PMID- 24990593
OWN - NLM
STAT- MEDLINE
DCOM- 20150625
LR  - 20220409
IS  - 1464-3677 (Electronic)
IS  - 1353-4505 (Linking)
VI  - 26
IP  - 5
DP  - 2014 Oct
TI  - Can preventable adverse events be predicted among hospitalized older patients? 
      The development and validation of a predictive model.
PG  - 547-52
LID - 10.1093/intqhc/mzu063 [doi]
AB  - OBJECTIVE: To develop and validate a predictive model for preventable adverse 
      events (AEs) in hospitalized older patients, using clinically important risk 
      factors that are readily available on admission. DESIGN: Data from two 
      retrospective patient record review studies on AEs were used. Risk factors 
      included patient characteristics as well as admission and organizational 
      characteristics. Multilevel logistical regression analysis was used to develop 
      the model. Backward elimination was applied to identify the most parsimonious 
      model. SETTING: Twenty-one Dutch hospitals were included in the 2004 sample and 
      20 Dutch hospitals in the 2008 sample. PARTICIPANTS: A total of 3977 patients 
      aged 70 years or over who were admitted to a Dutch hospital in 2004 and 2119 
      patients aged 70 years or over admitted in 2008. MAIN OUTCOME MEASURES: 
      Identified predictors of preventable AEs in older patients. RESULTS: In 2004 
      predictors of preventable AEs in patients aged 70 years or over were increased 
      age (OR 1.04, confidence interval (CI) 1.01-1.06); elective admission (OR 1.65, 
      CI 1.14-2.40) and admission to a surgical department (OR 1.53, CI 1.08-2.16). The 
      area under the receiver operating characteristic curve for the 2004 sample was 
      0.60 and for 2008, 0.59. CONCLUSIONS: This study showed that several expected 
      risk factors for preventable AEs in older patients, including comorbidity, could 
      not predict these events. It was not possible, using in-patient data available on 
      admission and collected during the course of two patient record review studies, 
      to develop a satisfactory predictive model for preventable AEs in older patients.
CI  - (c) The Author 2014. Published by Oxford University Press in association with the 
      International Society for Quality in Health Care; all rights reserved.
FAU - Van De Steeg, L
AU  - Van De Steeg L
AD  - NIVEL, Netherlands Institute for Health Services Research, PO Box 1568, Utrecht 
      3500 BN, The Netherlands.
FAU - Langelaan, M
AU  - Langelaan M
AD  - NIVEL, Netherlands Institute for Health Services Research, PO Box 1568, Utrecht 
      3500 BN, The Netherlands.
FAU - Wagner, C
AU  - Wagner C
AD  - NIVEL, Netherlands Institute for Health Services Research, PO Box 1568, Utrecht 
      3500 BN, The Netherlands EMGO Institute for Health and Care Research, VU 
      University Medical Centre, Amsterdam, The Netherlands.
LA  - eng
PT  - Journal Article
PT  - Multicenter Study
PT  - Research Support, Non-U.S. Gov't
DEP - 20140702
PL  - England
TA  - Int J Qual Health Care
JT  - International journal for quality in health care : journal of the International 
      Society for Quality in Health Care
JID - 9434628
SB  - IM
MH  - Age Factors
MH  - Aged
MH  - Aged, 80 and over
MH  - Comorbidity
MH  - Female
MH  - Hospitalization/*statistics & numerical data
MH  - Humans
MH  - Male
MH  - Netherlands
MH  - Patient Admission
MH  - Patient Safety/*statistics & numerical data
MH  - Quality of Health Care/*statistics & numerical data
MH  - Retrospective Studies
MH  - Risk Factors
MH  - Sex Factors
MH  - Time Factors
OTO - NOTNLM
OT  - adverse events
OT  - elderly
OT  - hospital care
OT  - predictors
OT  - risk factors
EDAT- 2014/07/06 06:00
MHDA- 2015/06/26 06:00
CRDT- 2014/07/04 06:00
PHST- 2014/07/04 06:00 [entrez]
PHST- 2014/07/06 06:00 [pubmed]
PHST- 2015/06/26 06:00 [medline]
AID - mzu063 [pii]
AID - 10.1093/intqhc/mzu063 [doi]
PST - ppublish
SO  - Int J Qual Health Care. 2014 Oct;26(5):547-52. doi: 10.1093/intqhc/mzu063. Epub 
      2014 Jul 2.