메뉴 건너뛰기




Volumn 12, Issue 5, 2008, Pages 644-649

Emergency readmission criterion: A technique for determining the emergency readmission time window

Author keywords

Emergency readmission; Mixture distribution; Time window

Indexed keywords

HOSPITALS; TABLE LOOKUP;

EID: 51749096921     PISSN: 10897771     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITB.2007.911311     Document Type: Article
Times cited : (18)

References (20)
  • 1
    • 0029932213 scopus 로고    scopus 로고
    • Stemming the tide of readmissions: Patient, practice or practitioner?
    • S. Capewell, "Stemming the tide of readmissions: Patient, practice or practitioner?" Br. Med. J., vol. 312, pp. 991-992, 1996.
    • (1996) Br. Med. J , vol.312 , pp. 991-992
    • Capewell, S.1
  • 2
    • 0031901859 scopus 로고    scopus 로고
    • The continuing rise in emergency admissions
    • J. Brown and C. S. Gray, "The continuing rise in emergency admissions," Rev. Clin. Gerontol., vol. 8, pp. 173-181, 1998.
    • (1998) Rev. Clin. Gerontol , vol.8 , pp. 173-181
    • Brown, J.1    Gray, C.S.2
  • 3
    • 51749091663 scopus 로고    scopus 로고
    • Available:, accessed Feb. 2, 2007
    • Healthcare Commission. (2005). Performance Ratings [Online]. Available: http://ratings2005.healthcareconuiiission.org.uk (accessed Feb. 2, 2007).
    • (2005) Performance Ratings [Online]
  • 4
    • 0028950846 scopus 로고
    • The association between the quality of inpatient care and early readmission
    • M. C. Benbassat, H. D. Kuykendall, L. M. Johnson, P. N. Wray, and L. Wu, "The association between the quality of inpatient care and early readmission," Ann. Internal Med., vol. 122, pp. 415-421, 1995.
    • (1995) Ann. Internal Med , vol.122 , pp. 415-421
    • Benbassat, M.C.1    Kuykendall, H.D.2    Johnson, L.M.3    Wray, P.N.4    Wu, L.5
  • 5
    • 0029614720 scopus 로고
    • Validation of a 28 day interval between discharge and readmission for emergency readmission rates
    • D. W. Sibbritt, "Validation of a 28 day interval between discharge and readmission for emergency readmission rates," J. Qual. Clin. Pract. vol. 15, pp. 211-220, 1995.
    • (1995) J. Qual. Clin. Pract , vol.15 , pp. 211-220
    • Sibbritt, D.W.1
  • 6
    • 0025038785 scopus 로고
    • Measuring readmission rates
    • M. Chambers and A. Clarke, "Measuring readmission rates," Br. Med. J., vol. 301, pp. 1134-1136, 1990.
    • (1990) Br. Med. J , vol.301 , pp. 1134-1136
    • Chambers, M.1    Clarke, A.2
  • 7
    • 0026553340 scopus 로고
    • Identification of factors associated with hospital readmission and development of a predictive model
    • J. Corrigan and J. Martin, "Identification of factors associated with hospital readmission and development of a predictive model," Health Serv. Res., vol. 27, pp. 81-101, 1992.
    • (1992) Health Serv. Res , vol.27 , pp. 81-101
    • Corrigan, J.1    Martin, J.2
  • 8
    • 0023675966 scopus 로고
    • Factors affecting early unplanned readmission of elderly patients to hospital
    • E. Williams and F. Fitton, "Factors affecting early unplanned readmission of elderly patients to hospital," Br. Med. J., vol. 297, pp. 784-787, 1988.
    • (1988) Br. Med. J , vol.297 , pp. 784-787
    • Williams, E.1    Fitton, F.2
  • 9
    • 33845588950 scopus 로고    scopus 로고
    • A Method for determining an emergency readmission time window for better patient management
    • E. Demir, T. J. Chaussalet, H. Xie, and P. H. Millard, "A Method for determining an emergency readmission time window for better patient management," in Proc. l9th IEEE Symp. CBMS, 2006, pp. 789-793.
    • (2006) Proc. l9th IEEE Symp. CBMS , pp. 789-793
    • Demir, E.1    Chaussalet, T.J.2    Xie, H.3    Millard, P.H.4
  • 10
    • 1242284339 scopus 로고    scopus 로고
    • Is readmission to hospital an indicator of poor process of care for patients with heart failure?
    • C. Luthi, B. Burnard, M. McClellan, R. Pitts, and D. Flanders, "Is readmission to hospital an indicator of poor process of care for patients with heart failure?," Br. Med. J., vol. 13, pp. 46-51, 2003.
    • (2003) Br. Med. J , vol.13 , pp. 46-51
    • Luthi, C.1    Burnard, B.2    McClellan, M.3    Pitts, R.4    Flanders, D.5
  • 11
    • 13444272963 scopus 로고    scopus 로고
    • Follow up of people aged 65 and over with a history of emergency admissions: Analysis of routine admission data
    • M. Roland, M. Dusheiko, H. Gravelle, and S. Parker, "Follow up of people aged 65 and over with a history of emergency admissions: Analysis of routine admission data," Br. Med. J., vol. 330, pp. 289-292, 2005.
    • (2005) Br. Med. J , vol.330 , pp. 289-292
    • Roland, M.1    Dusheiko, M.2    Gravelle, H.3    Parker, S.4
  • 12
    • 84971173381 scopus 로고
    • A use of complex probabilities in the theory of stochastic processes
    • D. R. Cox, "A use of complex probabilities in the theory of stochastic processes," in Proc. Cambridge Philos. Soc., 1955, vol. 51, pp. 313-319.
    • (1955) Proc. Cambridge Philos. Soc , vol.51 , pp. 313-319
    • Cox, D.R.1
  • 13
    • 51749104327 scopus 로고    scopus 로고
    • R Development Core Team, R:[I#A Language and Environment for Statistical Computing. Vienna, Austria, R Foundation for Stat. Comput., 2005.
    • R Development Core Team, R:[I#A Language and Environment for Statistical Computing. Vienna, Austria, R Foundation for Stat. Comput., 2005.
  • 14
    • 0016355478 scopus 로고
    • A new look at the statistical model identification
    • Dec
    • H. Akaike, "A new look at the statistical model identification," IEEE Trans. Autom. Control, vol. 19, no. 6, pp. 716-723, Dec. 1974.
    • (1974) IEEE Trans. Autom. Control , vol.19 , Issue.6 , pp. 716-723
    • Akaike, H.1
  • 15
    • 0000120766 scopus 로고
    • Estimating the dimension of a model
    • G. Schwarz, "Estimating the dimension of a model," Ann. Statist. vol. 6, pp. 461-464, 1978.
    • (1978) Ann. Statist , vol.6 , pp. 461-464
    • Schwarz, G.1
  • 16
    • 0033206528 scopus 로고    scopus 로고
    • Analysing data on lengths of stay of hospital patients using phase-type distributions
    • M. J. Faddy and S. I. McClean, "Analysing data on lengths of stay of hospital patients using phase-type distributions," Appl. Stochastic Models Bus. Ind., vol. 15, pp. 311-317, 1999.
    • (1999) Appl. Stochastic Models Bus. Ind , vol.15 , pp. 311-317
    • Faddy, M.J.1    McClean, S.I.2
  • 18
    • 51749084546 scopus 로고    scopus 로고
    • Office of the Deputy Prime Minister, The English indices of deprivation 2004, Office of the Deputy Prime Minister London, U.K., Rep., 2004.
    • Office of the Deputy Prime Minister, "The English indices of deprivation 2004," Office of the Deputy Prime Minister London, U.K., Rep., 2004.
  • 19
    • 25444515463 scopus 로고    scopus 로고
    • Factors influencing emergency medical readmission risk in a UK district general hospital: A prospective study
    • G. Lyratzopoulos, D. Havely, I. Gemmell, and A. G. Cook, "Factors influencing emergency medical readmission risk in a UK district general hospital: A prospective study," Biomed. Central Enter. Med., vol. 5, pp. 1-9, 2005.
    • (2005) Biomed. Central Enter. Med , vol.5 , pp. 1-9
    • Lyratzopoulos, G.1    Havely, D.2    Gemmell, I.3    Cook, A.G.4
  • 20
    • 51749094300 scopus 로고    scopus 로고
    • Commission for Healthcare Audit and Inspection, Clearing the air - A national study of chronic obstructive pulmonary disease, Comm. Healthcare Audit and Inspect., London, U.K., Rep., 2006.
    • Commission for Healthcare Audit and Inspection, "Clearing the air - A national study of chronic obstructive pulmonary disease," Comm. Healthcare Audit and Inspect., London, U.K., Rep., 2006.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.