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Volumn 15, Issue 1, 2015, Pages

Predicting cost of care using self-reported health status data

Author keywords

Cost; Health insurance; Predictive models

Indexed keywords

ADOLESCENT; ADULT; AGED; COST; FEMALE; FORECASTING; HEALTH CARE COST; HEALTH SERVICE; HEALTH STATUS; HOSPITALIZATION; HUMAN; MALE; MIDDLE AGED; RETROSPECTIVE STUDY; RISK FACTOR; SELF REPORT; STATISTICAL MODEL; THEORETICAL MODEL; TRENDS; UTILIZATION; YOUNG ADULT;

EID: 84941978855     PISSN: None     EISSN: 14726963     Source Type: Journal    
DOI: 10.1186/s12913-015-1063-1     Document Type: Article
Times cited : (24)

References (29)
  • 2
    • 85047697210 scopus 로고    scopus 로고
    • Predicting costs of care using a pharmacy-based measure risk adjustment in a veteran population
    • Sales AE, Liu C-F, Sloan KL, Malkin J, Fishman PA, Rosen A, et al. Predicting costs of care using a pharmacy-based measure risk adjustment in a veteran population. Med Care. 2003;41(6):753-60.
    • (2003) Med Care , vol.41 , Issue.6 , pp. 753-760
    • Sales, A.E.1    Liu, C.-F.2    Sloan, K.L.3    Malkin, J.4    Fishman, P.A.5    Rosen, A.6
  • 3
    • 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(7563):327.
    • (2006) BMJ , vol.333 , Issue.7563 , pp. 327
    • Billings, J.1    Dixon, J.2    Mijanovich, T.3    Wennberg, D.4
  • 4
    • 84861910358 scopus 로고    scopus 로고
    • Emergency departments, Medicaid costs, and access to primary care-understanding the link
    • Kellermann AL, Weinick RM. Emergency departments, Medicaid costs, and access to primary care-understanding the link. N Engl J Med. 2012;366(23):2141-3.
    • (2012) N Engl J Med. , vol.366 , Issue.23 , pp. 2141-2143
    • Kellermann, A.L.1    Weinick, R.M.2
  • 5
    • 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(2):230-41.
    • (2009) J Urban Health , vol.86 , Issue.2 , pp. 230-241
    • Raven, M.C.1    Billings, J.C.2    Goldfrank, L.R.3    Manheimer, E.D.4    Gourevitch, M.N.5
  • 6
    • 84866081958 scopus 로고    scopus 로고
    • Spending differences associated with the Medicare physician group practice demonstration
    • Colla CH, Wennberg DE, Meara E, Skinner JS, Gottlieb D, Lewis VA, et al. Spending differences associated with the Medicare physician group practice demonstration. JAMA. 2012;308(10):1015-23.
    • (2012) JAMA , vol.308 , Issue.10 , pp. 1015-1023
    • Colla, C.H.1    Wennberg, D.E.2    Meara, E.3    Skinner, J.S.4    Gottlieb, D.5    Lewis, V.A.6
  • 7
    • 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. 2007;26(6):1643-54.
    • (2007) Health Aff. , vol.26 , Issue.6 , pp. 1643-1654
    • Billings, J.1    Mijanovich, T.2
  • 8
    • 84555189724 scopus 로고    scopus 로고
    • Self-reported health and functional status information improves prediction of inpatient admissions and costs
    • Perrin NA, Stiefel M, Mosen DM, Bauck A, Shuster E, Dirks EM. Self-reported health and functional status information improves prediction of inpatient admissions and costs. Am J Manag Care. 2011;17(12):e472-8.
    • (2011) Am J Manag Care , vol.17 , Issue.12 , pp. e472-e478
    • Perrin, N.A.1    Stiefel, M.2    Mosen, D.M.3    Bauck, A.4    Shuster, E.5    Dirks, E.M.6
  • 9
    • 6344263679 scopus 로고    scopus 로고
    • Predicting healthcare costs in a population of veterans affairs beneficiaries using diagnosis-based risk adjustment and self-reported health status
    • Pietz K, Ashton CM, McDonell M, Wray NP. Predicting healthcare costs in a population of veterans affairs beneficiaries using diagnosis-based risk adjustment and self-reported health status. Med Care. 2004;42(10):1027-35.
    • (2004) Med Care , vol.42 , Issue.10 , pp. 1027-1035
    • Pietz, K.1    Ashton, C.M.2    McDonell, M.3    Wray, N.P.4
  • 10
    • 33645128888 scopus 로고    scopus 로고
    • Mortality prediction with a single general self-rated health question
    • De Salvo KB, Bloser N, Reynolds K, He J, Muntner P. Mortality prediction with a single general self-rated health question. J Gen Intern Med. 2006;21(3):267-75.
    • (2006) J Gen Intern Med. , vol.21 , Issue.3 , pp. 267-275
    • De Salvo, K.B.1    Bloser, N.2    Reynolds, K.3    He, J.4    Muntner, P.5
  • 11
    • 0031085303 scopus 로고    scopus 로고
    • Self-rated health and mortality: A review of twentyseven community studies
    • Idler EL, Benyamini Y. Self-rated health and mortality: a review of twentyseven community studies. J Health Soc Behav. 1997;38:21-37.
    • (1997) J Health Soc Behav. , vol.38 , pp. 21-37
    • Idler, E.L.1    Benyamini, Y.2
  • 14
    • 85016923871 scopus 로고    scopus 로고
    • Innovative care models for high-cost medicare beneficiaries: Delivery system and payment reform to accelerate adoption
    • Davis K, Buttorff C, Leff B, Samus QM, Szanton S, Wolff JL, et al. Innovative Care Models for High-Cost Medicare Beneficiaries: Delivery System and Payment Reform to Accelerate Adoption. Am J Manag Care. 2015;21(5):71-78.
    • (2015) Am J Manag Care , vol.21 , Issue.5 , pp. 71-78
    • Davis, K.1    Buttorff, C.2    Leff, B.3    Samus, Q.M.4    Szanton, S.5    Wolff, J.L.6
  • 15
    • 0028618423 scopus 로고
    • Health insurance and health status: Implications for financing health care reform
    • Short PF, Lair TJ. Health insurance and health status: implications for financing health care reform. Inquiry. 1994; 425-37
    • (1994) Inquiry , pp. 425-437
    • Short, P.F.1    Lair, T.J.2
  • 16
    • 0029205001 scopus 로고
    • No insurance, public insurance, and private insurance: Do these options contribute to differences in general health?
    • Hahn B, Flood AB. No insurance, public insurance, and private insurance: do these options contribute to differences in general health? J Health Care Poor Underserved. 1995;6(1):41-59.
    • (1995) J Health Care Poor Underserved , vol.6 , Issue.1 , pp. 41-59
    • Hahn, B.1    Flood, A.B.2
  • 18
    • 32944479755 scopus 로고    scopus 로고
    • A comparison of comorbidity measurements to predict healthcare expenditures
    • Farley JF, Harley CR, Devine JW. A comparison of comorbidity measurements to predict healthcare expenditures. Am J Manage Care. 2006;12(2):110-9.
    • (2006) Am J Manage Care , vol.12 , Issue.2 , pp. 110-119
    • Farley, J.F.1    Harley, C.R.2    Devine, J.W.3
  • 19
    • 77949296349 scopus 로고    scopus 로고
    • Using information on clinical conditions to predict high-cost patients
    • Fleishman JA, Cohen JW. Using Information on Clinical Conditions to Predict High-Cost Patients. Health Serv Res. 2010;45(2):532-52.
    • (2010) Health Serv Res. , vol.45 , Issue.2 , pp. 532-552
    • Fleishman, J.A.1    Cohen, J.W.2
  • 21
    • 0022317992 scopus 로고
    • An evaluation of methods for estimating the area under the receiver operating characteristic (ROC) curve
    • Centor RM, Schwartz JS. An evaluation of methods for estimating the area under the receiver operating characteristic (ROC) curve. Med Decis Making. 1984;5(2):149-56.
    • (1984) Med Decis Making , vol.5 , Issue.2 , pp. 149-156
    • Centor, R.M.1    Schwartz, J.S.2
  • 23
    • 84856051713 scopus 로고    scopus 로고
    • Validation of key behaviourally based mental health diagnoses in administrative data: Suicide attempt, alcohol abuse, illicit drug abuse and tobacco use
    • Kim HM, Smith EG, Stano CM, Ganoczy D, Zivin K, Walters H, et al. Validation of key behaviourally based mental health diagnoses in administrative data: suicide attempt, alcohol abuse, illicit drug abuse and tobacco use. BMC Health Serv Res. 2012;12(1):18.
    • (2012) BMC Health Serv Res. , vol.12 , Issue.1 , pp. 18
    • Kim, H.M.1    Smith, E.G.2    Stano, C.M.3    Ganoczy, D.4    Zivin, K.5    Walters, H.6
  • 24
    • 64249162854 scopus 로고    scopus 로고
    • Health care expenditure prediction with a single item, self-rated health measure
    • De Salvo KB, Jones TM, Peabody J, McDonald J, Fihn S, Fan V, et al. Health care expenditure prediction with a single item, self-rated health measure. Med Care. 2009;47(4):440-7.
    • (2009) Med Care , vol.47 , Issue.4 , pp. 440-447
    • De Salvo, K.B.1    Jones, T.M.2    Peabody, J.3    McDonald, J.4    Fihn, S.5    Fan, V.6
  • 25
    • 0033798725 scopus 로고    scopus 로고
    • Self-reported health status predictors of healthcare services utilization and charges in elderly asthmatic patients
    • Balkrishnan R, Anderson RT, Bowton D. Self-reported health status predictors of healthcare services utilization and charges in elderly asthmatic patients. J Asthma. 2000;37(5):415-23.
    • (2000) J Asthma , vol.37 , Issue.5 , pp. 415-423
    • Balkrishnan, R.1    Anderson, R.T.2    Bowton, D.3
  • 26
    • 67349259975 scopus 로고    scopus 로고
    • Comparing subjective and objective measures of health: Evidence from hypertension for the income/health gradient
    • Johnston DW, Propper C, Shields MA. Comparing subjective and objective measures of health: Evidence from hypertension for the income/health gradient. J Health Econ. 2009;28(3):540-52.
    • (2009) J Health Econ. , vol.28 , Issue.3 , pp. 540-552
    • Johnston, D.W.1    Propper, C.2    Shields, M.A.3
  • 27
    • 84907994604 scopus 로고    scopus 로고
    • Self-assessed health: What does it mean and what does it hide?
    • Au N, Johnston DW. Self-assessed health: what does it mean and what does it hide? Soc Sci Med. 2014;121:21-8.
    • (2014) Soc Sci Med. , vol.121 , pp. 21-28
    • Au, N.1    Johnston, D.W.2
  • 28
    • 20544436366 scopus 로고    scopus 로고
    • Use of a self-report-generated Charlson Comorbidity Index for predicting mortality
    • Chaudhry S, Jin L, Meltzer D. Use of a self-report-generated Charlson Comorbidity Index for predicting mortality. Med Care. 2005;43(6):607-15.
    • (2005) Med Care , vol.43 , Issue.6 , pp. 607-615
    • Chaudhry, S.1    Jin, L.2    Meltzer, D.3
  • 29
    • 41249096662 scopus 로고    scopus 로고
    • Comorbidity information in older patients at an emergency visit: Self-report vs. Administrative data had poor agreement but similar predictive validity
    • Susser SR, McCusker J, Belzile E. Comorbidity information in older patients at an emergency visit: self-report vs. administrative data had poor agreement but similar predictive validity. J Clin Epidemiol. 2008;61(5):511-5.
    • (2008) J Clin Epidemiol. , vol.61 , Issue.5 , pp. 511-515
    • Susser, S.R.1    McCusker, J.2    Belzile, E.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.