-
1
-
-
65949087495
-
A path to bundled payment around a rehospitalization
-
Medicare payment advisory commission. Washington, DC: Medicare Payment Advisory Commission
-
Medicare payment advisory commission. A path to bundled payment around a rehospitalization. In Chapter 4 of Report to the Congress: reforming the delivery system. Washington, DC: Medicare Payment Advisory Commission; 2005:83-103.
-
(2005)
Chapter 4 of Report to the Congress: Reforming the Delivery System
, pp. 83-103
-
-
-
3
-
-
79957438671
-
Avoiding hospital admission; What does the research evidence say?
-
December 2010; London. Accessed September 14 2013
-
Purdy S. Avoiding hospital admission; what does the research evidence say? The Kings Fund. December 2010; London. Available at: http://www.kingsfund. org.uk/sites/files/kf/Avoiding-Hospital-Admissions-Sarah-Purdy-December2010.pdf. Accessed September 14, 2013.
-
The Kings Fund
-
-
Purdy, S.1
-
4
-
-
47749130878
-
The incidence and nature of in-hospital adverse events: A systematic review
-
de Vries EN, Ramrattan MA, Smorenburg SM, et al. The incidence and nature of in-hospital adverse events: a systematic review. Qual Saf Health Care. 2008;17:216-223.
-
(2008)
Qual Saf Health Care
, vol.17
, pp. 216-223
-
-
De Vries, E.N.1
Ramrattan, M.A.2
Smorenburg, S.M.3
-
6
-
-
13444272963
-
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;330:289-292.
-
(2005)
BMJ
, vol.330
, pp. 289-292
-
-
Roland, M.1
Dusheiko, M.2
Gravelle, H.3
-
7
-
-
84904508218
-
How predictive modelling can help reduce risk, and hospital admissions
-
17th October 2011. Accessed September 16 2013
-
Lewis G, Curry N, Bardsley M. How predictive modelling can help reduce risk, and hospital admissions. Health Service Journal (HSJ) 17th October 2011. Available at: www.hsj.co.uk/how-predictive-modellingcan-help-reduce-risk-and- hospital-admission/5035587.article. Accessed September 16, 2013.
-
Health Service Journal (HSJ)
-
-
Lewis, G.1
Curry, N.2
Bardsley, M.3
-
8
-
-
68549101842
-
The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: Explanation and elaboration
-
Liberati A, Altman DG, Tetzlaff J, et al. The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: explanation and elaboration. BMJ. 2009;339: b2700.
-
(2009)
BMJ
, vol.339
-
-
Liberati, A.1
Altman, D.G.2
Tetzlaff, J.3
-
10
-
-
0034608969
-
Users guides to the medical literature: XXII: How to use articles about clinical decision rules Evidence-Based Medicine Working Group
-
McGinn TG, Guyatt GH, Wyer PC, et al. Users guides to the medical literature: XXII: how to use articles about clinical decision rules. Evidence-Based Medicine Working Group. JAMA. 2000;284: 79-84.
-
(2000)
JAMA
, vol.284
, pp. 79-84
-
-
McGinn, T.G.1
Guyatt, G.H.2
Wyer, P.C.3
-
11
-
-
19044392010
-
The Sherbrooke Questionnaire predicts use of emergency services
-
Walker L, Jamrozik K, Wingfield D. The Sherbrooke Questionnaire predicts use of emergency services. Age Ageing. 2005;34:233-237.
-
(2005)
Age Ageing
, vol.34
, pp. 233-237
-
-
Walker, L.1
Jamrozik, K.2
Wingfield, D.3
-
12
-
-
84856055839
-
The predictive validity of three self-report screening instruments for identifying frail older people in the community
-
Daniels R, van Rossum E, Beurskens A, et al. The predictive validity of three self-report screening instruments for identifying frail older people in the community. BMC Public Health. 2012;12:69.
-
(2012)
BMC Public Health
, vol.12
, pp. 69
-
-
Daniels, R.1
Van Rossum, E.2
Beurskens, A.3
-
13
-
-
34447291117
-
Predicting the likelihood of emergency admission to hospital of older people: Development and validation of the Emergency Admission Risk Likelihood Index (EARLI)
-
Lyon D, Lancaster GA, Taylor S, et al. Predicting the likelihood of emergency admission to hospital of older people: development and validation of the Emergency Admission Risk Likelihood Index (EARLI). Fam Pract. 2007;24:158-167.
-
(2007)
Fam Pract
, vol.24
, pp. 158-167
-
-
Lyon, D.1
Lancaster, G.A.2
Taylor, S.3
-
14
-
-
0023974042
-
Using administrative data to predict important health outcomes
-
Entry to hospital, nursing home, and death
-
Roos NP, Roos LL, Mossey J, et al. Using administrative data to predict important health outcomes. Entry to hospital, nursing home, and death. Med Care. 1988;26:221-239.
-
(1988)
Med Care
, vol.26
, pp. 221-239
-
-
Roos, N.P.1
Roos, L.L.2
Mossey, J.3
-
15
-
-
0027171009
-
Screening elders for risk of hospital admission
-
Boult C, Dowd B, McCaffrey D, et al. Screening elders for risk of hospital admission. J Am Geriatr Soc. 1993;41:811-817.
-
(1993)
J Am Geriatr Soc
, vol.41
, pp. 811-817
-
-
Boult, C.1
Dowd, B.2
McCaffrey, D.3
-
16
-
-
84875214007
-
A systematic review of the probability of repeated admission score in community-dwelling adults
-
Wallace E, Hinchey T, Dimitrov BD, et al. A systematic review of the probability of repeated admission score in community-dwelling adults. J Am Geriatr Soc. 2013;61:357-364.
-
(2013)
J Am Geriatr Soc
, vol.61
, pp. 357-364
-
-
Wallace, E.1
Hinchey, T.2
Dimitrov, B.D.3
-
17
-
-
0036716311
-
Development of a method to identify seniors at high risk for high hospital utilization
-
Reuben DB, Keeler E, Seeman TE, et al. Development of a method to identify seniors at high risk for high hospital utilization. Med Care. 2002;40:782-793.
-
(2002)
Med Care
, vol.40
, pp. 782-793
-
-
Reuben, D.B.1
Keeler, E.2
Seeman, T.E.3
-
18
-
-
1342289345
-
Risk factors for nonelective hospitalization in frail and older adult, inner-city outpatients
-
Damush TM, Smith DM, Perkins AJ, et al. Risk factors for nonelective hospitalization in frail and older adult, inner-city outpatients. Gerontologist. 2004;44:68-75.
-
(2004)
Gerontologist
, vol.44
, pp. 68-75
-
-
Damush, T.M.1
Smith, D.M.2
Perkins, A.J.3
-
19
-
-
0033847367
-
The community assessment risk screen (CARS): Identifying elderly persons at risk for hospitalization or emergency department visit
-
Shelton P, Sager MA, Schraeder C. The community assessment risk screen (CARS): identifying elderly persons at risk for hospitalization or emergency department visit. Am J Manag Care. 2000;6:925-933.
-
(2000)
Am J Manag Care
, vol.6
, pp. 925-933
-
-
Shelton, P.1
Sager, M.A.2
Schraeder, C.3
-
20
-
-
0029932938
-
Using a mailed survey to predict hospital admission among patients older than 80
-
Freedman JD, Beck A, Robertson B, et al. Using a mailed survey to predict hospital admission among patients older than 80. J Am Geriatr Soc. 1996;44:689-692.
-
(1996)
J Am Geriatr Soc
, vol.44
, pp. 689-692
-
-
Freedman, J.D.1
Beck, A.2
Robertson, B.3
-
21
-
-
36849079947
-
Screening of older community-dwelling people at risk for death and hospitalization: The Assistenza Socio-Sanitaria in Italia project
-
Mazzaglia G, Roti L, Corsini G, et al. Screening of older community-dwelling people at risk for death and hospitalization: the Assistenza Socio-Sanitaria in Italia project. J Am Geriatr Soc. 2007;55: 1955-1960.
-
(2007)
J Am Geriatr Soc
, vol.55
, pp. 1955-1960
-
-
Mazzaglia, G.1
Roti, L.2
Corsini, G.3
-
22
-
-
84884584280
-
Predicting risk of emergency admission to hospital using primary care data: Derivation and validation of QAdmissions score
-
Hippisley-Cox J, Coupland C. Predicting risk of emergency admission to hospital using primary care data: derivation and validation of QAdmissions score. BMJ Open. 2013;3:e003482.
-
(2013)
BMJ Open
, vol.3
-
-
Hippisley-Cox, J.1
Coupland, C.2
-
23
-
-
84884570154
-
Choosing a model to predict hospital admission: An observational study of new variants of predictive models for case finding
-
Billings J, Georghiou T, Blunt I, et al. Choosing a model to predict hospital admission: an observational study of new variants of predictive models for case finding. BMJ Open. 2013;3:e003352.
-
(2013)
BMJ Open
, vol.3
-
-
Billings, J.1
Georghiou, T.2
Blunt, I.3
-
24
-
-
84884557834
-
Emergency hospital admissions for the elderly: Insights from the Devon Predictive Model
-
Chenore T, Pereira Gray DJ, Forrer J, et al. Emergency hospital admissions for the elderly: insights from the Devon Predictive Model. J Public Health (Oxf). 2013;35:616-623.
-
(2013)
J Public Health (Oxf)
, vol.35
, pp. 616-623
-
-
Chenore, T.1
Pereira Gray, D.J.2
Forrer, J.3
-
25
-
-
84904508209
-
-
NHS National Services Scotland. Version 3; 2011. Accessed September 18 2013
-
NHS National Services Scotland. Scottish Patients at Risk of Readmission (SPARRA). Version 3; 2011. Available at http://www. isdscotland.org/Health- Topics/Healthand-Social-Community-Care/SPARRA/SPARRA-Version-3-October 2011.pdf. Accessed September 18, 2013.
-
Scottish Patients at Risk of Readmission (SPARRA)
-
-
-
26
-
-
84856889160
-
Anticipatory care planning and integration: A primary care pilot study aimed at reducing unplanned hospitalisation
-
Baker A, Leak P, Ritchie LD, et al. Anticipatory care planning and integration: a primary care pilot study aimed at reducing unplanned hospitalisation. Br J Gen Pract. 2012;62:e113-e120.
-
(2012)
Br J Gen Pract
, vol.62
-
-
Baker, A.1
Leak, P.2
Ritchie, L.D.3
-
27
-
-
84904508210
-
-
Sussex Health Informatics Service Accessed November 21 2013
-
Sussex Health Informatics Service. Sussex Combined Predictive Model (Sussex CPM). Available at: http://www.sussexhis.nhs.uk/sussexcpm. Accessed November 21, 2013.
-
Sussex Combined Predictive Model (Sussex CPM)
-
-
-
28
-
-
47549115392
-
Development and validation of a model for predicting emergency admissions over the next year (PEONY): A UK historical cohort study
-
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; 168:1416-1422.
-
(2008)
Arch Intern Med
, vol.168
, pp. 1416-1422
-
-
Donnan, P.T.1
Dorward, D.W.2
Mutch, B.3
-
29
-
-
84904508211
-
Prepared for NHS wales, informing healthcare by health
-
Wales predictive model final report and technical documentation. Accessed September 18 2013
-
Wales predictive model final report and technical documentation. Prepared for NHS Wales, Informing Healthcare by Health Dialog UK. 2008. Available at http://www.nliah.com/portal/microsites/Uploads/Resources/k5cma8PPy.pdf. Accessed September 18, 2013.
-
(2008)
Dialog UK
-
-
-
30
-
-
84904508212
-
-
Combined predictive model: final report. NHS, Department of Health, UK, New York University-Robert E Wagner Graduate School of Public Health. Accessed October 2 2013
-
Combined predictive model: final report. NHS, Department of Health, UK, New York University-Robert E Wagner Graduate School of Public Health, Kings Fund and Health Dialog UK; 2006. Available at: http://tna.europarchive.org/ 20091005114006/http://networks.nhs.uk/up loads/06/12/combined-predictive-model- final-report.pdf. Accessed October 2, 2013.
-
(2006)
Kings Fund and Health Dialog UK
-
-
-
31
-
-
84892996495
-
Predicting potentially avoidable hospitalizations
-
Gao J, Moran E, Li YF, et al. Predicting potentially avoidable hospitalizations. Med Care. 2014;52:164-171.
-
(2014)
Med Care
, vol.52
, pp. 164-171
-
-
Gao, J.1
Moran, E.2
Li, Y.F.3
-
32
-
-
84884212470
-
Predicting risk of hospitalization or death among patients receiving primary care in the veterans health administration
-
Wang L, Porter B, Maynard C, et al. Predicting risk of hospitalization or death among patients receiving primary care in the veterans health administration. Med Care. 2013;51:368-373.
-
(2013)
Med Care
, vol.51
, pp. 368-373
-
-
Wang, L.1
Porter, B.2
Maynard, C.3
-
33
-
-
84856060463
-
Development and validation of a model for predicting inpatient hospitalization
-
Lemke KW, Weiner JP, Clark JM. Development and validation of a model for predicting inpatient hospitalization. Med Care. 2012;50: 131-139.
-
(2012)
Med Care
, vol.50
, pp. 131-139
-
-
Lemke, K.W.1
Weiner, J.P.2
Clark, J.M.3
-
34
-
-
84904508104
-
-
Versisk Health Accessed October 1 2013
-
Versisk Health. DxCG Likelihood of Hospitalization White paper, 2012. Available at: http://www.veriskhealth.com/likelihood-hospitalization-loh. Accessed October 1, 2013.
-
(2012)
DxCG Likelihood of Hospitalization White Paper
-
-
-
35
-
-
78649910740
-
Use of an electronic administrative database to identify older community dwelling adults at high-risk for hospitalization or emergency department visits: The elders risk assessment index
-
Crane SJ, Tung EE, Hanson GJ, et al. Use of an electronic administrative database to identify older community dwelling adults at high-risk for hospitalization or emergency department visits: the elders risk assessment index. BMC Health Serv Res. 2010;10:338.
-
(2010)
BMC Health Serv Res
, vol.10
, pp. 338
-
-
Crane, S.J.1
Tung, E.E.2
Hanson, G.J.3
-
36
-
-
49249123401
-
Risk factors for hospitalization among community-dwelling primary care older patients: Development and validation of a predictive model
-
Inouye SK, Zhang Y, Jones RN, et al. Risk factors for hospitalization among community-dwelling primary care older patients: development and validation of a predictive model. Med Care. 2008;46: 726-731.
-
(2008)
Med Care
, vol.46
, pp. 726-731
-
-
Inouye, S.K.1
Zhang, Y.2
Jones, R.N.3
-
37
-
-
79959341484
-
Development and validation of predictive MoSaiCo (Modello Statistico Combinato) on emergency admissions: Can it also identify patients at high risk of frailty?
-
Falasca P, Berardo A, Di Tommaso F. Development and validation of predictive MoSaiCo (Modello Statistico Combinato) on emergency admissions: can it also identify patients at high risk of frailty? Ann Ist Super Sanita. 2011;47:220-228.
-
(2011)
Ann Ist Super Sanita
, vol.47
, pp. 220-228
-
-
Falasca, P.1
Berardo, A.2
Di Tommaso, F.3
-
38
-
-
84904515206
-
Who is most likely to require a higher level of care: Predicting risk of hospitalisation
-
Louis D, Bobeson M, Herrera K, et al. Who is most likely to require a higher level of care: predicting risk of hospitalisation. BMC Health Serv Res. 2010;10(suppl 2):A2.
-
(2010)
BMC Health Serv Res
, vol.10 SUPPL 2
-
-
Louis, D.1
Bobeson, M.2
Herrera, K.3
-
39
-
-
80053014916
-
Predictive model for emergency hospital admission and 6-month readmission
-
Lopez-Aguila S, Contel JC, Farre J, et al. Predictive model for emergency hospital admission and 6-month readmission. Am J Manag Care. 2011;17:e348-e357.
-
(2011)
Am J Manag Care
, vol.17
-
-
Lopez-Aguila, S.1
Contel, J.C.2
Farre, J.3
-
40
-
-
79952927989
-
Epidemiology and impact of multimorbidity in primary care: A retrospective cohort study
-
Salisbury C, Johnson L, Purdy S, et al. Epidemiology and impact of multimorbidity in primary care: a retrospective cohort study. Br J Gen Pract. 2011;61:e12-e21.
-
(2011)
Br J Gen Pract
, vol.61
-
-
Salisbury, C.1
Johnson, L.2
Purdy, S.3
-
41
-
-
84863426446
-
The epidemiology of multimorbidity in a large cross-sectional dataset: Implications for health care, research and medical education
-
Barnett K, Mercer SW, Norbury M, et al. The epidemiology of multimorbidity in a large cross-sectional dataset: implications for health care, research and medical education. Lancet. 2012;380:37-43.
-
(2012)
Lancet
, vol.380
, pp. 37-43
-
-
Barnett, K.1
Mercer, S.W.2
Norbury, M.3
-
42
-
-
61449207043
-
Medicaid patients at high risk for frequent hospital admission: Real-time identification and remediable risks
-
Raven M, Billings J, Goldfrank L, et al. 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.1
Billings, J.2
Goldfrank, L.3
-
43
-
-
80054764509
-
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: 1688-1698.
-
(2011)
JAMA
, vol.306
, pp. 1688-1698
-
-
Kansagara, D.1
Englander, H.2
Salanitro, A.3
-
44
-
-
84855720740
-
Risk factors for hospital readmissions in elderly patients: A systematic review
-
García-Pérez L, Linertová R, Lorenzo-Riera A, et al. Risk factors for hospital readmissions in elderly patients: a systematic review. QJM. 2011;104:639-651.
-
(2011)
QJM
, vol.104
, pp. 639-651
-
-
García-Pérez, L.1
Linertová, R.2
Lorenzo-Riera, A.3
-
45
-
-
84904508105
-
-
Accessed February 5 2014
-
X prize to tackle hospital admissions. Available at: http://www.ehi.co. uk/news/acute-care/6606/x-prize-to-tackle-hospital-admissions. Accessed February 5, 2014.
-
X Prize to Tackle Hospital Admissions
-
-
-
46
-
-
84878626605
-
Is case management effective in reducing the risk of unplanned hospital admissions for older people? A systematic review and meta-analysis
-
Huntley AL, Thomas R, Mann M, et al. Is case management effective in reducing the risk of unplanned hospital admissions for older people? A systematic review and meta-analysis. Fam Pract. 2013;30:266-275.
-
(2013)
Fam Pract
, vol.30
, pp. 266-275
-
-
Huntley, A.L.1
Thomas, R.2
Mann, M.3
-
47
-
-
77951116358
-
The effects of guided care on the perceived quality of health care for multi-morbid older persons: 18-month outcomes from a cluster-randomized controlled trial
-
Boyd CM, Reider L, Frey K, et al. The effects of guided care on the perceived quality of health care for multi-morbid older persons: 18-month outcomes from a cluster-randomized controlled trial. J Gen Intern Med. 2010;25:235-242.
-
(2010)
J Gen Intern Med
, vol.25
, pp. 235-242
-
-
Boyd, C.M.1
Reider, L.2
Frey, K.3
-
48
-
-
79952584191
-
The effect of guided care teams on the use of health services: Results from a cluster-randomized controlled trial
-
Boult C, Reider L, Leff B, et al. The effect of guided care teams on the use of health services: results from a cluster-randomized controlled trial. Arch Intern Med. 2011;171:460-466.
-
(2011)
Arch Intern Med
, vol.171
, pp. 460-466
-
-
Boult, C.1
Reider, L.2
Leff, B.3
-
49
-
-
33846193221
-
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
-
50
-
-
84866265901
-
Managing patients with multimorbidity: Systematic review of interventions in primary care and community settings
-
Smith SM, Soubhi H, Fortin M, et al. Managing patients with multimorbidity: systematic review of interventions in primary care and community settings. BMJ. 2012;345:e5205.
-
(2012)
BMJ
, vol.345
-
-
Smith, S.M.1
Soubhi, H.2
Fortin, M.3
-
51
-
-
33750955505
-
Using individualized predictive disease modeling to identify patients with the potential to benefit from a disease management program for diabetes mellitus
-
Weber C, Neeser K. Using individualized predictive disease modeling to identify patients with the potential to benefit from a disease management program for diabetes mellitus. Dis Manag. 2006;9: 242-256.
-
(2006)
Dis Manag
, vol.9
, pp. 242-256
-
-
Weber, C.1
Neeser, K.2
-
52
-
-
84874732625
-
Emergency hospital admissions for ambulatory care sensitive conditions: Identifying the potential for reductions
-
Tian Y, Dixon A, Gao H. Emergency hospital admissions for ambulatory care sensitive conditions: identifying the potential for reductions. The Kings Fund. 2012.
-
(2012)
The Kings Fund
-
-
Tian, Y.1
Dixon, A.2
Gao, H.3
-
53
-
-
84862539265
-
-
AHRQ. Prevention Quality indicators overview Accessed April 2 2014
-
AHRQ. Prevention Quality indicators overview. Agency for Healthcare Research and Quality (AHRQ). Available at: http://www.qualityindicators. ahrq.gov/Modules/pqi-resources.aspx. Accessed April 2, 2014.
-
Agency for Healthcare Research and Quality (AHRQ)
-
-
-
54
-
-
77953772801
-
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
|