Literature DB >> 1640619

Medicare reimbursement accuracy under the prospective payment system, 1985 to 1988.

D C Hsia1, C A Ahern, B P Ritchie, L M Moscoe, W M Krushat.   

Abstract

BACKGROUND: Hospital reimbursement by Medicare's prospective payment system depends on accurate identification and coding of inpatients' diagnoses and procedures using the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM). A previous study showed that 20.8% +/- 0.5% (mean +/- SE) of hospital bills for 1985 contained errors that changed their diagnosis related group (DRG) and that a significant 61.6% +/- 1.3% of errors overreimbursed the hospitals. This DRG "creep" improperly increased net reimbursement by 1.9%, +308 million when projected nationally. The present study updated our previous study with 1988 data.
METHODS: The Office of Inspector General, US Department of Health and Human Services, obtained a simple random sample of 2451 hospital charts for Medicare discharges from 1988. The American Medical Record Association reabstracted the ICD-9-CM codes on a blinded basis, grouped them to DRGs, and determined the reasons for discrepancies.
RESULTS: Coding errors declined to 14.7% +/- 0.7% in 1988, and a nonsignificant 50.7% +/- 2.6% of DRG errors overreimbursed the hospitals. Projected nationally, hospitals did not receive a significant overreimbursement. Physician misspecification of the narrative diagnoses underreimbursed the hospitals, while billing department resequencing overreimbursed them.
CONCLUSIONS: The attestation requirement may have deterred DRG creep due to attending physician upcoding, but the peer review organizations' sentinel effect and educational activities have not eliminated hospital resequencing.

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Mesh:

Year:  1992        PMID: 1640619

Source DB:  PubMed          Journal:  JAMA        ISSN: 0098-7484            Impact factor:   56.272


  36 in total

1.  Assessing the accuracy of an automated coding system in emergency medicine.

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Journal:  Proc AMIA Symp       Date:  2000

2.  Regional variation in physician practice pattern: an examination of technical and cost efficiency for treating sinusitis.

Authors:  C W Pai; Y A Ozcan; H J Jiang
Journal:  J Med Syst       Date:  2000-04       Impact factor: 4.460

3.  Physician benchmarking: measuring variation in practice behavior in treatment of otitis media.

Authors:  Y A Ozcan
Journal:  Health Care Manag Sci       Date:  1998-09

4.  Long-term acute care hospital utilization after critical illness.

Authors:  Jeremy M Kahn; Nicole M Benson; Dina Appleby; Shannon S Carson; Theodore J Iwashyna
Journal:  JAMA       Date:  2010-06-09       Impact factor: 56.272

5.  Coding response to a case-mix measurement system based on multiple diagnoses.

Authors:  Colin Preyra
Journal:  Health Serv Res       Date:  2004-08       Impact factor: 3.402

Review 6.  Comparative hospital databases: value for management and quality.

Authors:  R Cleary; R Beard; J Coles; B Devlin; A Hopkins; D Schumacher; I Wickings
Journal:  Qual Health Care       Date:  1994-03

7.  Disease-Specific Trends of Comorbidity Coding and Implications for Risk Adjustment in Hospital Administrative Data.

Authors:  Ulrike Nimptsch
Journal:  Health Serv Res       Date:  2015-10-07       Impact factor: 3.402

8.  Statewide Hospital Discharge Data: Collection, Use, Limitations, and Improvements.

Authors:  Roxanne M Andrews
Journal:  Health Serv Res       Date:  2015-07-07       Impact factor: 3.402

9.  The effect of state medicaid case-mix payment on nursing home resident acuity.

Authors:  Zhanlian Feng; David C Grabowski; Orna Intrator; Vincent Mor
Journal:  Health Serv Res       Date:  2006-08       Impact factor: 3.402

10.  Coding for quality measurement: the relationship between hospital structural characteristics and coding accuracy from the perspective of quality measurement.

Authors:  Pavani Rangachari
Journal:  Perspect Health Inf Manag       Date:  2007-04-16
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