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Toward development of a preditive mo...

Liu, Yuanli.

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Toward development of a preditive model of medical resource utilization.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Toward development of a preditive model of medical resource utilization./
Author:	Liu, Yuanli.
Description:	189 p.
Notes:	Adviser: John Kralewski.
Contained By:	Dissertation Abstracts International56-11B.
Subject:	Health Sciences, Health Care Management. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9607883

Toward development of a preditive model of medical resource utilization.
Liu, Yuanli.

Toward development of a preditive model of medical resource utilization. - 189 p.

Adviser: John Kralewski.

Thesis (Ph.D.)--University of Minnesota, 1995.

Different aspects of medical resource utilization are found to be influenced by different factors. By adding provider variables the forecast performance of the predictive model is also improved.Subjects--Topical Terms:

1017922
Health Sciences, Health Care Management.

Toward development of a preditive model of medical resource utilization.
LDR:02797nam 2200361 a 45 001 932666
005 20110505
008 110505s1995 eng d
035 $a (UnM)AAI9607883
035 $a AAI9607883
040 $a UnM $c UnM
100 1 $a Liu, Yuanli. $3 1256409
245 1 0 $a Toward development of a preditive model of medical resource utilization.
300 $a 189 p.
500 $a Adviser: John Kralewski.
500 $a Source: Dissertation Abstracts International, Volume: 56-11, Section: B, page: 6028.
502 $a Thesis (Ph.D.)--University of Minnesota, 1995.
520 $a Different aspects of medical resource utilization are found to be influenced by different factors. By adding provider variables the forecast performance of the predictive model is also improved.
520 $a In contrast to previously developed predictive models, this study uses both variables measuring consumer characteristics and variables measuring provider characteristics simultaneously as predictors.
520 $a The model is estimated from the data of a large HMO in the State of Minnesota with a total of 61772 individuals who were continuously enrolled for the period of 1991-1992.
520 $a This study develops a comprehensive predictive model of medical resource utilization.
520 $a Three behavioral models of consumers and providers are constructed using the theoretical framework of utility-maximization. Based on the behavioral models a Four-Part predictive model of medical resource utilization is developed.
520 $a The process of medical resource utilization is viewed as consisting of three distinct components involving different decision makers: the consumer's decision to seek medical care, the physician's decision to hospitalize a patient, and the physician's decision on the treatment intensity.
520 $a A certain portion of the previously unexplained inter-patient variance in medical resource use, which would be otherwise attributed as purely "random" by models with only consumer variables, is found to be associated with different characteristics of the patient's providers.
520 $a The HMO member's age, gender, prior utilization, number of prior diagnoses, and personal characteristics of the member's principal physician, the number of technologies at the provider's disposal, and the use of practice guidelines are identified as strong predictors of medical resource utilization. Policy implications and implications for future research are discussed.
590 $a School code: 0130.
650 4 $a Health Sciences, Health Care Management. $3 1017922
650 4 $a Health Sciences, Medicine and Surgery. $3 1017756
650 4 $a Sociology, Theory and Methods. $3 626625
690 $a 0344
690 $a 0564
690 $a 0769
710 2 0 $a University of Minnesota. $3 676231
773 0 $t Dissertation Abstracts International $g 56-11B.
790 $a 0130
790 1 0 $a Kralewski, John, $e advisor
791 $a Ph.D.
792 $a 1995
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9607883