Literature DB >> 7713618

Assessing relative health plan risk with the RAND-36 health survey.

M C Hornbrook1, M J Goodman.   

Abstract

Unbiased risk assessment models base health plan payments on enrollee health care needs. We explored the risk structure of employed adult health maintenance organization (HMO) members using the RAND-36 health survey. We used multivariate techniques to estimate risk weights on demographic and health status factors. The dependent variable was annual real total health plan expense for covered services for the year following the survey. Repeated random-split-sample validation techniques minimized outlier influences. Five scales improved prediction over simple demographic factors, but demographic factors still were required to achieve unbiased forecasts. Self-reported health status is a useful and powerful risk measure for adults.

Mesh:

Year:  1995        PMID: 7713618

Source DB:  PubMed          Journal:  Inquiry        ISSN: 0046-9580            Impact factor:   1.730


  19 in total

1.  Risk adjusting capitation: applications in employed and disabled populations.

Authors:  C W Madden; B P Mackay; S M Skillman; M Ciol; P K Diehr
Journal:  Health Care Manag Sci       Date:  2000-02

Review 2.  Aggregate Health Status: a benchmark index for community health.

Authors:  James F Reed; James N Burdine; Michael Felix
Journal:  J Med Syst       Date:  2003-04       Impact factor: 4.460

3.  Assessing population health care need using a claims-based ACG morbidity measure: a validation analysis in the Province of Manitoba.

Authors:  Robert J Reid; Noralou P Roos; Leonard MacWilliam; Norman Frohlich; Charlyn Black
Journal:  Health Serv Res       Date:  2002-10       Impact factor: 3.402

4.  A structural equation modeling approach to examining the predictive power of determinants of individuals' health expenditures.

Authors:  Jin-Yuan Chern; Thomas T H Wan; James W Begun
Journal:  J Med Syst       Date:  2002-08       Impact factor: 4.460

5.  Using information on clinical conditions to predict high-cost patients.

Authors:  John A Fleishman; Joel W Cohen
Journal:  Health Serv Res       Date:  2010-01-27       Impact factor: 3.402

6.  Analysis of the costs of NSAID-associated gastropathy. Experience in a US health maintenance organisation.

Authors:  R E Johnson; M C Hornbrook; R S Hooker; G T Woodson; R Shneidman
Journal:  Pharmacoeconomics       Date:  1997-07       Impact factor: 4.981

7.  The influence of gatekeeping and utilization review on patient satisfaction.

Authors:  E A Kerr; R D Hays; A Mitchinson; M Lee; A L Siu
Journal:  J Gen Intern Med       Date:  1999-05       Impact factor: 5.128

8.  Cost-effectiveness of guided self-help treatment for recurrent binge eating.

Authors:  Frances L Lynch; Ruth H Striegel-Moore; John F Dickerson; Nancy Perrin; Lynn Debar; G Terence Wilson; Helena C Kraemer
Journal:  J Consult Clin Psychol       Date:  2010-06

9.  The sensitivity of the MOS SF-12 and PROMIS® global summary scores to adverse health events in an older cohort.

Authors:  Joanne Allen; Fiona M Alpass; Christine V Stephens
Journal:  Qual Life Res       Date:  2018-05-03       Impact factor: 4.147

10.  Predicting rehospitalization and outpatient services from administration and clinical databases.

Authors:  Michael S Hendryx; Joan E Russo; Bruce Stegner; Dennis G Dyck; Richard K Ries; Peter Roy-Byrne
Journal:  J Behav Health Serv Res       Date:  2003 Jul-Sep       Impact factor: 1.505

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