메뉴 건너뛰기




Volumn 51, Issue 1, 2013, Pages 23-24

Should Hospital Readmissions be Reduced Through Payment Penalties: A Response to Dr Pizer

Author keywords

[No Author keywords available]

Indexed keywords

EDITORIAL; HEALTH LITERACY; HEALTH SERVICE; HOSPITAL COST; HOSPITAL READMISSION; HUMAN; PRIORITY JOURNAL; SOCIAL STATUS;

EID: 84871600477     PISSN: 00257079     EISSN: 15371948     Source Type: Journal    
DOI: 10.1097/MLR.0b013e3182785a5d     Document Type: Editorial
Times cited : (4)

References (11)
  • 1
    • 84871597917 scopus 로고    scopus 로고
    • Should hospital readmissions be reduced through payment penalties?
    • Pizer S. Should hospital readmissions be reduced through payment penalties? Med Care. 2013;51:20-22.
    • (2013) Med Care. , vol.51 , pp. 20-22
    • Pizer, S.1
  • 2
    • 84871596609 scopus 로고    scopus 로고
    • Cost of readmission: Can the Veterans Health Administration (VHA) experience inform national payment policy?
    • Hockenberry JM, Burgess JF, Glasgow J, et al. Cost of readmission: can the Veterans Health Administration (VHA) experience inform national payment policy? Med Care. 2013;51:13-19.
    • (2013) Med Care. , vol.51 , pp. 13-19
    • Hockenberry, J.M.1    Burgess, J.F.2    Glasgow, J.3
  • 4
    • 84871551698 scopus 로고    scopus 로고
    • SAS-SUGI 31, Paper 184-31 Accessed September 21, 2012
    • Allison PD 2006. Fixed Effects Regression Methods in SAS. SAS-SUGI 31, Paper 184-31. Available at: http://www2.sas.com/proceedings/sugi31/184-31.pdf. Accessed September 21, 2012.
    • (2006) Fixed Effects Regression Methods in SAS
    • Allison, P.D.1
  • 5
    • 0000250716 scopus 로고
    • Specification tests in econometrics
    • Hausman JA. Specification tests in econometrics. Econometrica. 1978;46:1251-1271.
    • (1978) Econometrica. , vol.46 , pp. 1251-1271
    • Hausman, J.A.1
  • 6
    • 80054758115 scopus 로고    scopus 로고
    • Final report prepared for Centers for Medicare and Medicaid Services under subcontract ##HHSM-500-2005-CO001C/CO0018 from the Colorado Foundation for Medical Care (CFMC) PM#419-073 CO 2008. June 9, 2008 Accessed November 28, 2012
    • Krumholz HM, Normand ST, Keenan PS, et al. Hospital 30-day acute myocardial infarction readmission measure: methodology. Final report prepared for Centers for Medicare and Medicaid Services under subcontract ##HHSM-500-2005-CO001C/CO0018 from the Colorado Foundation for Medical Care (CFMC) PM#419-073 CO 2008. June 9, 2008. Available at: http://www.qualitynet. org/dcs/ContentServer?c = Page&pagename= QnetPublic%2FPage%2FQnetTier3&cid=12190698 55841. Accessed November 28, 2012.
    • Hospital 30-day Acute Myocardial Infarction Readmission Measure: Methodology
    • Krumholz, H.M.1    Normand, S.T.2    Keenan, P.S.3
  • 7
    • 79952783450 scopus 로고    scopus 로고
    • Incremental value of clinical data beyond claims data in predicting 30-day outcomes after heart failure hospitalization
    • Hammill BG, Curtis LH, Fonarow GC, et al. Incremental value of clinical data beyond claims data in predicting 30-day outcomes after heart failure hospitalization. Circulation. 2011;4:60-67.
    • (2011) Circulation. , vol.4 , pp. 60-67
    • Hammill, B.G.1    Curtis, L.H.2    Fonarow, G.C.3
  • 8
    • 47549100563 scopus 로고    scopus 로고
    • Statistical models and patient predictors of readmission for heart failure: A systematic review
    • Ross JS, Mulvey GK, Stauffer B, et al. Statistical models and patient predictors of readmission for heart failure: a systematic review. Arch Intern Med. 2008;168:1371-1386.
    • (2008) Arch Intern Med. , vol.168 , pp. 1371-1386
    • Ross, J.S.1    Mulvey, G.K.2    Stauffer, B.3
  • 9
    • 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;25:211-219.
    • (2010) J Gen Intern Med. , vol.25 , pp. 211-219
    • Hasan, O.1    Meltzer, D.O.2    Shaykevich, S.A.3
  • 10
    • 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;26:771-776.
    • (2011) J Gen Intern Med. , vol.26 , pp. 771-776
    • Allaudeen, N.1    Schnipper, J.L.2    Orav, E.J.3
  • 11
    • 84871576355 scopus 로고    scopus 로고
    • Sources and methodology: Where the hospital readmissions data came from
    • August 13, 2012 Accessed September 2012
    • J Rau. Sources and methodology: where the hospital readmissions data came from. Kaiser Health News, August 13, 2012. Available at: http://www. kaiserhealthnews.org/Stories/2012/August/13/readmissions-sources-and- methodology.aspx. Accessed September 2012.
    • Kaiser Health News
    • Rau, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.