메뉴 건너뛰기




Volumn 15, Issue 5, 2012, Pages 315-321

Multidisciplinary case management for patients at high risk of hospitalization: Comparison of virtual ward models in the United Kingdom, United States, and Canada

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ALCOHOL CONSUMPTION; ARTICLE; BLOOD ANALYSIS; CANADA; CASE MANAGEMENT; CASE REPORT; COST EFFECTIVENESS ANALYSIS; ELECTRONIC MEDICAL RECORD; EMERGENCY CARE; EPILEPSY; FOLLOW UP; GASTROINTESTINAL SYMPTOM; HEALTH CARE MANAGEMENT; HEALTH CARE PERSONNEL; HEALTH CARE POLICY; HEALTH CARE PRACTICE; HEALTH CARE SYSTEM; HEALTH SERVICE; HEARING IMPAIRMENT; HIGH RISK PATIENT; HOME CARE; HOSPITAL ADMISSION; HOSPITAL PHYSICIAN; HOSPITALIZATION; HUMAN; INTENSIVE CARE; JOINT EXAMINATION; MALE; MEDICAL STAFF; NUCLEAR MAGNETIC RESONANCE IMAGING; PATIENT MONITORING; PATIENT SELECTION; PROFESSIONAL PRACTICE; SOCIAL CARE; SOCIAL WORKER; UNITED KINGDOM; UNITED STATES; WARD;

EID: 84866342757     PISSN: 19427891     EISSN: 19427905     Source Type: Journal    
DOI: 10.1089/pop.2011.0086     Document Type: Article
Times cited : (20)

References (40)
  • 2
    • 79551534478 scopus 로고    scopus 로고
    • Recurrent readmissions in medical patients: A prospective study
    • Mudge AM, Kasper K, Clair A, et al. Recurrent readmissions in medical patients: A prospective study. J Hosp Med 2011; 6:61-67.
    • (2011) J Hosp Med , vol.6 , pp. 61-67
    • Mudge, A.M.1    Kasper, K.2    Clair, A.3
  • 4
    • 61449207043 scopus 로고    scopus 로고
    • Medicaid patients at high risk for frequent hospital admission: Real-time identification and remediable risks
    • Raven MC, Billings JC, Goldfrank LR, Manheimer ED, Gourevitch MN. Medicaid patients at high risk for frequent hospital admission: Real-time identification and remediable risks. J Urban Health 2009;86:230-241.
    • (2009) J Urban Health , vol.86 , pp. 230-241
    • Raven, M.C.1    Billings, J.C.2    Goldfrank, L.R.3    Manheimer, E.D.4    Gourevitch, M.N.5
  • 6
    • 36849009686 scopus 로고    scopus 로고
    • Improving the management of care for high-cost Medicaid patients
    • Billings J, Mijanovich T. Improving the management of care for high-cost Medicaid patients. Health Aff (Millwood) 2007;26:1643-1654.
    • (2007) Health Aff (Millwood) , vol.26 , pp. 1643-1654
    • Billings, J.1    Mijanovich, T.2
  • 7
    • 33846193221 scopus 로고    scopus 로고
    • Impact of case management (Evercare) on frail elderly patients: Controlled before and after analysis of quantitative outcome data
    • Gravelle H, Dusheiko M, Sheaff R, et al. Impact of case management (Evercare) on frail elderly patients: Controlled before and after analysis of quantitative outcome data. BMJ 2007;334:31.
    • (2007) BMJ , vol.334 , pp. 31
    • Gravelle, H.1    Dusheiko, M.2    Sheaff, R.3
  • 9
    • 77953759687 scopus 로고    scopus 로고
    • Centers for Medicare and Medicaid Services Accessed November 7 2009
    • Centers for Medicare and Medicaid Services. Medicare Coordinated Care Demonstration. Available at: http://www .cms.hhs.gov/DemoProjectsEvalRpts/ downloads/CC-Fact-Sheet.pdf. Accessed November 7, 2009.
    • Medicare Coordinated Care Demonstration
  • 12
    • 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, Parker S. Follow-up of people aged 65 and over with a history of emergency admissions: Analysis of routine admission data. BMJ 2005;330: 289-292.
    • (2005) BMJ , vol.330 , pp. 289-292
    • Roland, M.1    Dusheiko, M.2    Gravelle, H.3    Parker, S.4
  • 15
    • 0036734951 scopus 로고    scopus 로고
    • An introduction to predictive modeling for disease management risk stratification
    • Cousins MS, Shickle LM, Bander JA. An introduction to predictive modeling for disease management risk stratification. Dis Manag 2002;5:157-167.
    • (2002) Dis Manag , vol.5 , pp. 157-167
    • Cousins, M.S.1    Shickle, L.M.2    Bander, J.A.3
  • 17
    • 59449109774 scopus 로고    scopus 로고
    • Chronic care in the english national health service: Progress and challenges
    • Ham C. Chronic care in the English National Health Service: Progress and challenges. Health Aff (Millwood) 2009;28: 190-201.
    • (2009) Health Aff (Millwood) , vol.28 , pp. 190-201
    • Ham, C.1
  • 20
    • 84874021389 scopus 로고    scopus 로고
    • How to use predictive risk modeling in healthcare
    • 25 May 2010. Accessed September 19 2011
    • Carlisle D. How to use predictive risk modeling in healthcare. Health Service Journal, 25 May 2010. Available at http://www.hsj.co.uk/resource-centre/ best-practice/how-touse- predictive-risk-modelling-in-healthcare/5014244. article. Accessed September 19, 2011.
    • Health Service Journal
    • Carlisle, D.1
  • 21
    • 85050799457 scopus 로고    scopus 로고
    • Do 'virtual wards' reduce rates of unplanned hospital admissions and at what cost? A research protocol using propensity matched controls
    • Epub Jun 30
    • Lewis G, Bardlsley M, Vaithianathan R, et al. Do 'virtual wards' reduce rates of unplanned hospital admissions and at what cost? A research protocol using propensity matched controls. Int J Integr Care 2011;11:e079. Epub Jun 30, 2011.
    • (2011) Int J Integr Care 2011 , vol.11
    • Lewis, G.1    Bardlsley, M.2    Vaithianathan, R.3
  • 24
    • 84874019784 scopus 로고    scopus 로고
    • New York State Department of Health Accessed September 19 2011
    • New York State Department of Health. Chronic Illness Demonstration Projects: Request for Proposals. Available at: http://www.health.ny.gov/funding/ rfp/inactive/0801031003/ 0801031003.pdf. Accessed September 19, 2011.
    • Chronic Illness Demonstration Projects: Request for Proposals
  • 28
    • 3142545567 scopus 로고    scopus 로고
    • Department Of Health. London: The Stationery Office
    • Department of Health. The NHS Improvement Plan. London: The Stationery Office; 2004.
    • (2004) The NHS Improvement Plan
  • 31
    • 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;182:551-557.
    • (2010) CMAJ , Issue.182 , pp. 551-557
    • Van Walraven, C.1    Dhalla, I.A.2    Bell, C.3
  • 32
    • 36849009686 scopus 로고    scopus 로고
    • Improving the management of care for high-cost Medicaid patients
    • Billings J, Mijanovich T. Improving the management of care for high-cost Medicaid patients. Health Aff (Millwood) 2007;26:1643-1654.
    • (2007) Health Aff (Millwood) , vol.26 , pp. 1643-1654
    • Billings, J.1    Mijanovich, T.2
  • 33
    • 84874022890 scopus 로고    scopus 로고
    • NHS Wandsworth Accessed November 16 2011
    • NHS Wandsworth. Community Virtual Wards. Available at: http://www.wandsworth.nhs.uk/gettherighttreatment/ Communityvirtualwards/Pages/ home.aspx. Accessed November 16, 2011.
    • Community Virtual Wards
  • 34
    • 84874019932 scopus 로고    scopus 로고
    • New York City Health and Hospitals Corporation Accessed November 16 2011
    • New York City Health and Hospitals Corporation. Frequent ER users are tracked and connected to services. Available at: http://www.nyc.gov/html/hhc/ html/newsletter/201007- hospital-2-home.shtml. Accessed November 16, 2011.
    • Frequent ER Users Are Tracked and Connected to Services
  • 36
    • 77953772801 scopus 로고    scopus 로고
    • "Impactibility models": Identifying the subgroup of high-risk patients most amenable to hospital-avoidance programs
    • Lewis GH. ''Impactibility models'': Identifying the subgroup of high-risk patients most amenable to hospital-avoidance programs. Milbank Q 2010;88:240-255.
    • (2010) Milbank Q , vol.88 , pp. 240-255
    • Lewis, G.H.1
  • 37
    • 33947510199 scopus 로고    scopus 로고
    • Lean health care: What can hospitals learn from a world-class automaker?
    • Kim CS, Spahlinger DA, Kin JM, Billi JE. Lean health care: What can hospitals learn from a world-class automaker? J Hosp Med 2006;1:191-199.
    • (2006) J Hosp Med , vol.1 , pp. 191-199
    • Kim, C.S.1    Spahlinger, D.A.2    Kin, J.M.3    Billi, J.E.4
  • 38
    • 0021015956 scopus 로고
    • Bed availability and hospital utilization: Estimates of the ''roemer effect''
    • Ginsburg PB, Koretz DM. Bed availability and hospital utilization: Estimates of the ''Roemer effect.'' Health Care Financ Rev 1983;5:87-92.
    • (1983) Health Care Financ Rev , vol.5 , pp. 87-92
    • Ginsburg, P.B.1    Koretz, D.M.2
  • 39
    • 50049098870 scopus 로고    scopus 로고
    • Operational independence for the NHS
    • Vaithianathan R, Lewis GH. Operational independence for the NHS. BMJ 2008;337:a497.
    • (2008) BMJ , vol.337
    • Vaithianathan, R.1    Lewis, G.H.2
  • 40
    • 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, Wennberg D. Case finding for patients at risk of readmission to hospital: Development of algorithm to identify high risk patients. BMJ 2006; 333:327.
    • (2006) BMJ , vol.333 , pp. 327
    • Billings, J.1    Dixon, J.2    Mijanovich, T.3    Wennberg, D.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.