메뉴 건너뛰기




Volumn 2, Issue 4, 2012, Pages

Development of a predictive model to identify inpatients at risk of re-admission within 30 days of discharge (PARR-30)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGED; AREA UNDER THE CURVE; ARTICLE; HOSPITAL ADMISSION; HOSPITAL DISCHARGE; HOSPITAL INFORMATION SYSTEM; HOSPITAL PATIENT; HOSPITAL READMISSION; HUMAN; LOGISTIC REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; MULTIVARIATE ANALYSIS; NATIONAL HEALTH SERVICE; PREDICTIVE VALUE; RECEIVER OPERATING CHARACTERISTIC; SCORING SYSTEM; SENSITIVITY AND SPECIFICITY; UNITED KINGDOM;

EID: 84865126986     PISSN: None     EISSN: 20446055     Source Type: Journal    
DOI: 10.1136/bmjopen-2012-001667     Document Type: Article
Times cited : (152)

References (50)
  • 4
    • 79958044329 scopus 로고    scopus 로고
    • Department of Health. London: Department of Health
    • Department of Health. Payment by Results Guidance for 2011-12. London: Department of Health, 2011.
    • (2011) Payment by Results Guidance for 2011-12
  • 7
    • 84865141508 scopus 로고    scopus 로고
    • London: CHKS, accessed 2 Dec 2011
    • Robinson P. Hospitals readmissions and the 30 day threshold. London: CHKS, 2010 http://www.chks.co.uk/assets/files/Hospital-readmissions-and-the-30- day-threshold-final.pdf (accessed 2 Dec 2011).
    • (2010) Hospitals Readmissions and the 30 Day Threshold
    • Robinson, P.1
  • 9
    • 80054772538 scopus 로고    scopus 로고
    • Interventions to reduce 30-day rehospitalization: A systematic review
    • Hansen LO, Young RS, Hinami K, et al. Interventions to reduce 30-day rehospitalization: a systematic review. Ann Intern Med 2011;155:520-8.
    • (2011) Ann Intern Med , vol.155 , pp. 520-528
    • Hansen, L.O.1    Young, R.S.2    Hinami, K.3
  • 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
    • Roland M, Dusheiko M, Gravelle H, et al. Follow up of people aged 65 and over with a history of emergency admissions: analysis of routine admission data. BMJ 2005;330:289-92. (Pubitemid 40203645)
    • (2005) British Medical Journal , vol.330 , Issue.7486 , pp. 289-292
    • Roland, M.1    Dusheiko, M.2    Gravelle, H.3    Parker, S.4
  • 13
    • 80051558663 scopus 로고    scopus 로고
    • Inability of providers to predict unplanned readmissions
    • Allaudeen N, Schnipper JL, Orav EJ, et al. Inability of providers to predict unplanned readmissions. J Gen Intern Med 2011;26:771-6.
    • (2011) J Gen Intern Med , vol.26 , pp. 771-776
    • Allaudeen, N.1    Schnipper, J.L.2    Orav, E.J.3
  • 14
    • 79955132796 scopus 로고    scopus 로고
    • Proportion of hospital readmissions deemed avoidable: A systematic review
    • van Walraven C, Bennett C, Jennings A, et al. Proportion of hospital readmissions deemed avoidable: a systematic review. CMAJ 2011;183:E391-402.
    • (2011) CMAJ , vol.183
    • Van Walraven, C.1    Bennett, C.2    Jennings, A.3
  • 15
    • 84855179168 scopus 로고    scopus 로고
    • The relationship between hospital admission rates and rehospitalizations
    • Epstein AM, Jha AK, Orav EJ. The relationship between hospital admission rates and rehospitalizations. N Engl J Med 2011;365;2287-95.
    • (2011) N Engl J Med , vol.365 , pp. 2287-2295
    • Epstein, A.M.1    Jha, A.K.2    Orav, E.J.3
  • 16
    • 33747607232 scopus 로고    scopus 로고
    • Case finding for patients at risk of readmission to hospital: Development of algorithm to identify high risk patients
    • Billings J, Dixon J, Mijanovich T, et al. Case finding for patients at risk of readmission to hospital: development of algorithm to identify high risk patients. Br Med J 2006;333:327.
    • (2006) Br Med J , vol.333 , pp. 327
    • Billings, J.1    Dixon, J.2    Mijanovich, T.3
  • 18
    • 80053036009 scopus 로고    scopus 로고
    • Edinburgh: NHS National Services Scotland, accessed 10 Sept 2011
    • SPARRA: Scottish Patients At Risk of Readmission and Admission. Edinburgh: NHS National Services Scotland, 2006. http://www.isdscotland.org/isd/ files/SPARRA-Report.pdf (accessed 10 Sept 2011).
    • (2006) SPARRA: Scottish Patients at Risk of Readmission and Admission
  • 19
    • 84864398158 scopus 로고    scopus 로고
    • NHS Scotland Information Services Division. Edinburgh: NHS Scotland Information Services Division, accessed 10 Sept 2011
    • NHS Scotland Information Services Division. SPARRA Mental Health: Scottish Patients at Risk of Readmission and Admission (to psychiatric hospitals or units) . Edinburgh: NHS Scotland Information Services Division, 2009. http://www.isdscotland.org/Health-Topics/Health-and-Social-Community-Care/ SPARRA/SPARRA-History/SPARRA-MH-report-final.doc (accessed 10 Sept 2011).
    • (2009) SPARRA Mental Health: Scottish Patients at Risk of Readmission and Admission (To Psychiatric Hospitals or Units)
  • 20
    • 47549115392 scopus 로고    scopus 로고
    • Development and validation of a model for predicting emergency admissions over the next year (PEONY): A UK historical cohort study
    • DOI 10.1001/archinte.168.13.1416
    • Donnan PT, Dorward DW, Mutch B, et al. Development and validation of a model for predicting emergency admissions over the next year (PEONY): a UK historical cohort study. Arch Intern Med 2008;168:1416-22. (Pubitemid 352008423)
    • (2008) Archives of Internal Medicine , vol.168 , Issue.13 , pp. 1416-1422
    • Donnan, P.T.1    Dorward, D.W.T.2    Mutch, B.3    Morris, A.D.4
  • 21
    • 84865148259 scopus 로고    scopus 로고
    • NHS Wales Informatics Service. accessed 12 June 2012
    • NHS Wales Informatics Service. Reducing emergency risk: the prism tool . NHS Wales Informatics Service. http://www.wales.nhs.uk/nwis/page/52558 (accessed 12 June 2012).
    • Reducing Emergency Risk: The Prism Tool
  • 22
    • 63849134505 scopus 로고    scopus 로고
    • Rehospitalizations among patients in the medicare fee-for-service program
    • Jencks SF, Williams MV, Coleman EA. Rehospitalizations among patients in the medicare fee-for-service program. N Engl J Med 2009;360:1418-28.
    • (2009) N Engl J Med , vol.360 , pp. 1418-1428
    • Jencks, S.F.1    Williams, M.V.2    Coleman, E.A.3
  • 23
    • 25444455313 scopus 로고    scopus 로고
    • Respiratory rehabilitation after acute exacerbation of COPD may reduce risk for readmission and mortality: A systematic review
    • Puhan MA, Scharplatz M, Troosters T, et al. Respiratory rehabilitation after acute exacerbation of COPD may reduce risk for readmission and mortality: a systematic review. Respir Res 2005;6:54.
    • (2005) Respir Res , vol.6 , pp. 54
    • Puhan, M.A.1    Scharplatz, M.2    Troosters, T.3
  • 24
    • 0025515815 scopus 로고
    • The discharge of elderly patients from an accident and emergency department: Functional changes and risk of readmission
    • Rowland K, Maitra AK, Richardson DA, et al. The discharge of elderly patients from an accident and emergency department: functional changes and risk of readmission. Age Ageing 1990;19:415-18.
    • (1990) Age Ageing , vol.19 , pp. 415-418
    • Rowland, K.1    Maitra, A.K.2    Richardson, D.A.3
  • 25
    • 77951125992 scopus 로고    scopus 로고
    • Hospital readmission in general medicine patients: A prediction model
    • Hasan O, Meltzer DO, Shaykevich SA, et al. Hospital readmission in general medicine patients: a prediction model. J Gen Intern Med 2010;25:211-19.
    • (2010) J Gen Intern Med , vol.25 , pp. 211-219
    • Hasan, O.1    Meltzer, D.O.2    Shaykevich, S.A.3
  • 26
    • 57849096298 scopus 로고    scopus 로고
    • Prediction of early readmission in medical inpatients using the probability of repeated admission instrument
    • Novotny NL, Anderson MA. Prediction of early readmission in medical inpatients using the probability of repeated admission instrument. Nurs Res 2008;57:406-15.
    • (2008) Nurs Res , vol.57 , pp. 406-415
    • Novotny, N.L.1    Anderson, M.A.2
  • 27
    • 77951240308 scopus 로고    scopus 로고
    • Derivation and validation of an index to predict early death or unplanned readmission after discharge from hospital to the community
    • van Walraven C, Dhalla IA, Bell C, et al. Derivation and validation of an index to predict early death or unplanned readmission after discharge from hospital to the community. CMAJ 2010;182:551-7.
    • (2010) CMAJ , vol.182 , pp. 551-557
    • Van Walraven, C.1    Dhalla, I.A.2    Bell, C.3
  • 28
    • 62749159363 scopus 로고    scopus 로고
    • Predictive validity of the Identification of Seniors at Risk (ISAR) screening tool in elderly patients presenting to two Italian Emergency Departments
    • Salvi F, Morichi V, Grilli A, et al. Predictive validity of the Identification of Seniors At Risk (ISAR) screening tool in elderly patients presenting to two Italian Emergency Departments. Aging Clin Exp Res 2009;21:69-75.
    • (2009) Aging Clin Exp Res , vol.21 , pp. 69-75
    • Salvi, F.1    Morichi, V.2    Grilli, A.3
  • 29
    • 0345354680 scopus 로고    scopus 로고
    • A brief risk-stratification tool to predict repeat emergency department visits and hospitalizations in older patients discharged from the emergency department
    • DOI 10.1197/aemj.10.3.224
    • Meldon SW, Mion LC, Palmer RM, et al. A brief risk-stratification tool to predict repeat emergency department visits and hospitalizations in older patients discharged from the emergency department. Acad Emerg Med 2003;10:224-32. (Pubitemid 36292624)
    • (2003) Academic Emergency Medicine , vol.10 , Issue.3 , pp. 224-232
    • Meldon, S.W.1    Mion, L.C.2    Palmer, R.M.3    Drew, B.L.4    Connor, J.T.5    Lewicki, L.J.6    Bass, D.M.7    Emerman, C.L.8
  • 31
    • 84865148262 scopus 로고    scopus 로고
    • Emergency readmissions payment ban being ignored
    • accessed 11 Sept 2011
    • Dowler C. Emergency readmissions payment ban being ignored. Health Serv J 2011. http://www.hsj.co.uk/news/finance/emergency-readmissions-payment-ban- being-ignored/5032666.article (accessed 11 Sept 2011).
    • (2011) Health Serv J
    • Dowler, C.1
  • 32
    • 33747825992 scopus 로고    scopus 로고
    • Predictive validity of the Triage Risk Screening Tool for elderly patients in a Canadian emergency department
    • DOI 10.1016/j.ajem.2006.01.015, PII S0735675706000209
    • Fan J, Worster A, Fernandes CM. Predictive validity of the triage risk screening tool for elderly patients in a Canadian emergency department. Am J Emerg Med 2006;24:540-4. (Pubitemid 44287255)
    • (2006) American Journal of Emergency Medicine , vol.24 , Issue.5 , pp. 540-544
    • Fan, J.1    Worster, A.2    Fernandes, C.M.B.3
  • 33
    • 84865115253 scopus 로고    scopus 로고
    • NHS Information Centre for Health and Social Care Leeds: NHS Information Centre for Health and Social Care, accessed 12 Sept 2011
    • NHS Information Centre for Health and Social Care. The SUS programme. Leeds: NHS Information Centre for Health and Social Care, 2011. http://www.connectingforhealth.nhs.uk/systemsandservices/sus (accessed 12 Sept 2011).
    • (2011) The SUS Programme
  • 34
    • 79958148713 scopus 로고    scopus 로고
    • Information Centre for Health and Social Care. Leeds: Information Centre
    • Information Centre for Health and Social Care. Hospital episode statistics. Leeds: Information Centre, 2009.
    • (2009) Hospital Episode Statistics
  • 35
    • 79958044329 scopus 로고    scopus 로고
    • London: Department of Health, accessed 12 June 2012
    • Payment by Results Guidance for 2011-12. London: Department of Health, 2011. http://www.dh.gov.uk/prod-consum-dh/groups/dh-digitalassets/documents/ digitalasset/dh-126157.pdf (accessed 12 June 2012).
    • (2011) Payment by Results Guidance for 2011-12
  • 38
    • 0034906866 scopus 로고    scopus 로고
    • Internal validation of predictive models: Efficiency of some procedures for logistic regression analysis
    • Steyerberg EW, Harrell FE Jr, Borsboom GJJM, et al. Internal validation of predictive models: efficiency of some procedures for logistic regression analysis. J Clin Epidemiol 2001;54:774 -81.
    • (2001) J Clin Epidemiol , vol.54 , pp. 774-781
    • Steyerberg, E.W.1    Harrell Jr., F.E.2    Borsboom, G.J.J.M.3
  • 39
    • 59449094529 scopus 로고    scopus 로고
    • Bayesian bootstrap estimation of ROC curve
    • Gu J, Ghosal S, Roy A. Bayesian bootstrap estimation of ROC curve. Stat Med 2008;27:5407-20.
    • (2008) Stat Med , vol.27 , pp. 5407-5420
    • Gu, J.1    Ghosal, S.2    Roy, A.3
  • 40
    • 78649833019 scopus 로고    scopus 로고
    • Department of Health. London: Department of Health
    • Department of Health. Payment by results guidance for 2010-11. London: Department of Health, 2010.
    • (2010) Payment by Results Guidance for 2010-11
  • 42
    • 71749119251 scopus 로고    scopus 로고
    • Department of Health. London: Department of Health
    • Department of Health. NHS reference costs 2007-08. London: Department of Health, 2009.
    • (2009) NHS Reference Costs 2007-08
  • 43
    • 82255164821 scopus 로고    scopus 로고
    • L A person based formula for allocating commissioning funds to general practices in England: Development of a statistical model
    • doi: 10.1136/bmj.d6608 (Published 22 November 2011)
    • Dixon J, Smith P, Gravelle H, et al. l A person based formula for allocating commissioning funds to general practices in England: development of a statistical model. BMJ 2011;343:d6608. doi: 10.1136/bmj.d6608 (Published 22 November 2011).
    • (2011) BMJ , vol.343
    • Dixon, J.1    Smith, P.2    Gravelle, H.3
  • 44
    • 78649833019 scopus 로고    scopus 로고
    • Department of Health. London: Department of Health
    • Department of Health. Payment by results guidance for 2010-11. London: Department of Health, 2010b.
    • (2010) Payment by Results Guidance for 2010-11
  • 45
    • 84861752033 scopus 로고    scopus 로고
    • accessed 12 June 2012
    • Department for Communities and Local Government. The English Indices of Deprivation 2010. http://www.communities.gov.uk/publications/corporate/ statistics/indices2010 (accessed 12 June 2012).
    • The English Indices of Deprivation 2010
  • 46
    • 0023092594 scopus 로고
    • A new method of classifying prognostic comorbidity in longitudinal studies: Development and validation
    • Charlson ME, Popei P, Ales KL, et al. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis 1987;40:373 -83.
    • (1987) J Chronic Dis , vol.40 , pp. 373-383
    • Charlson, M.E.1    Popei, P.2    Ales, K.L.3
  • 47
    • 80054764509 scopus 로고    scopus 로고
    • Risk prediction models for hospital readmission: A systematic review
    • Kansagara D, Englander H, Salanitro A, et al. Risk prediction models for hospital readmission: a systematic review. JAMA 2011;306:1688-98.
    • (2011) JAMA , vol.306 , pp. 1688-1698
    • Kansagara, D.1    Englander, H.2    Salanitro, A.3
  • 48
    • 0034129923 scopus 로고    scopus 로고
    • Validity of self reported utilisation of primary health care services in an urban population in Spain
    • Bellón JA, Lardelli P, de Dios LJ, et al. Validity of self reported utilisation of primary health care services in an urban population in Spain. J Epidemiol Community Health 2000;54:544-51.
    • (2000) J Epidemiol Community Health , vol.54 , pp. 544-551
    • Bellón, J.A.1    Lardelli, P.2    De Dios, L.J.3
  • 49
    • 0021593290 scopus 로고
    • The validity of self-reported physician utilization measures
    • DOI 10.1097/00005650-198409000-00003
    • Cleary PD, Jette AM. The validity of self-reported physician utilization measures. Med Care 1984;22:796-803. (Pubitemid 14002964)
    • (1984) Medical Care , vol.22 , Issue.9 , pp. 796-803
    • Cleary, P.D.1    Jette, A.M.2
  • 50
    • 80054772538 scopus 로고    scopus 로고
    • Interventions to reduce 30-day rehospitalisation: A systematic review
    • Hansen LO, Young RS, Hinami K, et al. Interventions to reduce 30-day rehospitalisation: a systematic review. Ann Intern Med 2011;155:520-8.
    • (2011) Ann Intern Med , vol.155 , pp. 520-528
    • Hansen, L.O.1    Young, R.S.2    Hinami, K.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.