Cross-specialty linkage and extrapolation of resource-based relative value scales.

M. Sohn, Euncheol Park, H. G. Kang, H. J. Kim, Y. J. Hur

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

This article describes methods used to produce a RBRVS (resource-based relative value scales), a common scale from two specialties (internal medicine and general surgery) and explains the newly developed extrapolation process within each specialty. To produce a common scale, we selected six 'same' services as linking services common to both specialties. Then we used the bi-weighted least squares method to locate all the same services on a single, common scale. By using the same method, we tried to extrapolate all the services within each specialty, not by the method of Kelly et al, dividing all the services within the specialty into families (small homogeneous groups of services) to apply charge-based ratios. To compare both methods, we extrapolated all the services of general surgery according to each method. With the correlation analysis to compare both results to American RVUs, we found that general surgery's RVUs from our own extrapolation method turned out to be more highly correlated with American RVUs than from Kelly's extrapolation method. Consequently, extrapolation with bi-weighted least squares method gave reasonable results.

Original languageEnglish
Pages (from-to)497-507
Number of pages11
JournalYonsei medical journal
Volume36
Issue number6
DOIs
Publication statusPublished - 1995 Jan 1

Fingerprint

Relative Value Scales
Least-Squares Analysis
Internal Medicine

All Science Journal Classification (ASJC) codes

  • Medicine(all)

Cite this

Sohn, M. ; Park, Euncheol ; Kang, H. G. ; Kim, H. J. ; Hur, Y. J. / Cross-specialty linkage and extrapolation of resource-based relative value scales. In: Yonsei medical journal. 1995 ; Vol. 36, No. 6. pp. 497-507.
@article{a38f603b951040fe9cc3ac0562416a77,
title = "Cross-specialty linkage and extrapolation of resource-based relative value scales.",
abstract = "This article describes methods used to produce a RBRVS (resource-based relative value scales), a common scale from two specialties (internal medicine and general surgery) and explains the newly developed extrapolation process within each specialty. To produce a common scale, we selected six 'same' services as linking services common to both specialties. Then we used the bi-weighted least squares method to locate all the same services on a single, common scale. By using the same method, we tried to extrapolate all the services within each specialty, not by the method of Kelly et al, dividing all the services within the specialty into families (small homogeneous groups of services) to apply charge-based ratios. To compare both methods, we extrapolated all the services of general surgery according to each method. With the correlation analysis to compare both results to American RVUs, we found that general surgery's RVUs from our own extrapolation method turned out to be more highly correlated with American RVUs than from Kelly's extrapolation method. Consequently, extrapolation with bi-weighted least squares method gave reasonable results.",
author = "M. Sohn and Euncheol Park and Kang, {H. G.} and Kim, {H. J.} and Hur, {Y. J.}",
year = "1995",
month = "1",
day = "1",
doi = "10.3349/ymj.1995.36.6.497",
language = "English",
volume = "36",
pages = "497--507",
journal = "Yonsei Medical Journal",
issn = "0513-5796",
publisher = "Yonsei University College of Medicine",
number = "6",

}

Cross-specialty linkage and extrapolation of resource-based relative value scales. / Sohn, M.; Park, Euncheol; Kang, H. G.; Kim, H. J.; Hur, Y. J.

In: Yonsei medical journal, Vol. 36, No. 6, 01.01.1995, p. 497-507.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Cross-specialty linkage and extrapolation of resource-based relative value scales.

AU - Sohn, M.

AU - Park, Euncheol

AU - Kang, H. G.

AU - Kim, H. J.

AU - Hur, Y. J.

PY - 1995/1/1

Y1 - 1995/1/1

N2 - This article describes methods used to produce a RBRVS (resource-based relative value scales), a common scale from two specialties (internal medicine and general surgery) and explains the newly developed extrapolation process within each specialty. To produce a common scale, we selected six 'same' services as linking services common to both specialties. Then we used the bi-weighted least squares method to locate all the same services on a single, common scale. By using the same method, we tried to extrapolate all the services within each specialty, not by the method of Kelly et al, dividing all the services within the specialty into families (small homogeneous groups of services) to apply charge-based ratios. To compare both methods, we extrapolated all the services of general surgery according to each method. With the correlation analysis to compare both results to American RVUs, we found that general surgery's RVUs from our own extrapolation method turned out to be more highly correlated with American RVUs than from Kelly's extrapolation method. Consequently, extrapolation with bi-weighted least squares method gave reasonable results.

AB - This article describes methods used to produce a RBRVS (resource-based relative value scales), a common scale from two specialties (internal medicine and general surgery) and explains the newly developed extrapolation process within each specialty. To produce a common scale, we selected six 'same' services as linking services common to both specialties. Then we used the bi-weighted least squares method to locate all the same services on a single, common scale. By using the same method, we tried to extrapolate all the services within each specialty, not by the method of Kelly et al, dividing all the services within the specialty into families (small homogeneous groups of services) to apply charge-based ratios. To compare both methods, we extrapolated all the services of general surgery according to each method. With the correlation analysis to compare both results to American RVUs, we found that general surgery's RVUs from our own extrapolation method turned out to be more highly correlated with American RVUs than from Kelly's extrapolation method. Consequently, extrapolation with bi-weighted least squares method gave reasonable results.

UR - http://www.scopus.com/inward/record.url?scp=0029449121&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0029449121&partnerID=8YFLogxK

U2 - 10.3349/ymj.1995.36.6.497

DO - 10.3349/ymj.1995.36.6.497

M3 - Article

VL - 36

SP - 497

EP - 507

JO - Yonsei Medical Journal

JF - Yonsei Medical Journal

SN - 0513-5796

IS - 6

ER -