Literature DB >> 1500292

Change in the Medicare case-mix index in the 1980s and the effect of the prospective payment system.

M G Goldfarb1, R M Coffey.   

Abstract

Persistent increases in the Medicare case-mix index over the 1980s have been ascribed to changes both in medical treatment ("real changes") and in the way medical information is recorded ("coding changes") in hospitals. These changes have been attributed, in the absence of appropriate data and analyses, to the incentives of the Medicare prospective payment system (PPS). Using data for 1980-1986 from 235 hospitals, we estimate the effect on the Medicare case-mix index of a series of variables that reflect medical treatments and coding practices. Each of these underlying real or coding variables was changing prior to PPS and would likely have continued to change even in the absence of PPS. Furthermore, PPS may have had a distinct effect on these variables. These underlying trends and the PPS effects must each be estimated. Thus, the analysis begins by developing separate estimates for each of these real and coding variables (1) in the absence of PPS (autonomous effects) and (2) as a result of PPS (induced effects). Then, changes in the case-mix index are regressed against all of these variables to determine the degree to which specific autonomous real or coding variables or induced real or coding variables actually influenced measured case mix. Results show that real and coding changes each accounted for about half of the change in the Medicare case-mix index between 1980 and 1986, with the influence of coding starting to wane by 1986. PPS-induced factors explain about 80 percent of the change in measured case mix over time, autonomous factors about 20 percent. Especially powerful determinants of case-mix change included PPS-induced substitution of surgical for medical care and PPS-induced improvements in the accuracy of coding that led to assignment of patients to higher-weighted DRGs. Also, stringent Medicare peer review organizations appeared to restrain rises in case-mix indexes for their hospitals. Outpatient substitution for inpatient treatment, which others attributed to PPS, was well underway before PPS was announced.

Entities:  

Mesh:

Year:  1992        PMID: 1500292      PMCID: PMC1069884     

Source DB:  PubMed          Journal:  Health Serv Res        ISSN: 0017-9124            Impact factor:   3.402


  3 in total

1.  Hospital case-mix change: sicker patients or DRG creep?

Authors:  B Steinwald; L A Dummit
Journal:  Health Aff (Millwood)       Date:  1989       Impact factor: 6.301

2.  Accuracy of diagnostic coding for Medicare patients under the prospective-payment system.

Authors:  D C Hsia; W M Krushat; A B Fagan; J A Tebbutt; R P Kusserow
Journal:  N Engl J Med       Date:  1988-02-11       Impact factor: 91.245

3.  Medicare case-mix index increase.

Authors:  P B Ginsburg; G M Carter
Journal:  Health Care Financ Rev       Date:  1986
  3 in total
  5 in total

1.  Conditional Length of Stay.

Authors:  J H Silber; P R Rosenbaum; L F Koziol; N Sutaria; R R Marsh; O Even-Shoshan
Journal:  Health Serv Res       Date:  1999-04       Impact factor: 3.402

2.  The accuracy of present-on-admission reporting in administrative data.

Authors:  L Elizabeth Goldman; Philip W Chu; Dennis Osmond; Andrew Bindman
Journal:  Health Serv Res       Date:  2011-08-11       Impact factor: 3.402

3.  The trends in treatment of femoral neck fractures in the Medicare population from 1991 to 2008.

Authors:  Benjamin J Miller; Xin Lu; Peter Cram
Journal:  J Bone Joint Surg Am       Date:  2013-09-18       Impact factor: 5.284

4.  Hospital performance and payment: impact of integrating pay-for-performance on healthcare effectiveness in Lebanon.

Authors:  Jade Khalife; Walid Ammar; Maria Emmelin; Fadi El-Jardali; Bjorn Ekman
Journal:  Wellcome Open Res       Date:  2020-12-10

5.  Impact of DRGs-based inpatient service management on the performance of regional inpatient services in Shanghai, China: an interrupted time series study, 2013-2019.

Authors:  Lvfan Feng; Yuan Tian; Mei He; Jie Tang; Ying Peng; Chenjie Dong; Wenzhong Xu; Tao Wang; Jiangjiang He
Journal:  BMC Health Serv Res       Date:  2020-10-12       Impact factor: 2.655

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.