Literature DB >> 23059553

Association between changes in health risk status and changes in future health care costs: a multiemployer study.

Steven Nyce1, Jessica Grossmeier, David R Anderson, Paul E Terry, Bruce Kelley.   

Abstract

OBJECTIVE: To assess the influence of health risk change on changes in health care costs.
METHODS: Multivariate regression models examined change in health care costs concurrent with and following completion of two health assessments (HAs) approximately 1 year apart. Final models examined changes in costs for individuals with and without chronic conditions.
RESULTS: After controlling for chronic condition status, health risk changes between the first and second HA were associated with health care cost changes in the year following the second HA. Those with chronic conditions experienced reductions of $129 for each risk reduced and increases of $210 for each risk added.
CONCLUSIONS: Changes in health care costs were preceded by changes in health risk status, supporting the use of HA and biometric screening measures as leading indicators of the cost impact of health management programs.

Mesh:

Year:  2012        PMID: 23059553     DOI: 10.1097/JOM.0b013e31826b4996

Source DB:  PubMed          Journal:  J Occup Environ Med        ISSN: 1076-2752            Impact factor:   2.162


  4 in total

Review 1.  Risk prediction and segmentation models used in the United States for assessing risk in whole populations: a critical literature review with implications for nurses' role in population health management.

Authors:  Alvin D Jeffery; Sharon Hewner; Lisiane Pruinelli; Deborah Lekan; Mikyoung Lee; Grace Gao; Laura Holbrook; Martha Sylvia
Journal:  JAMIA Open       Date:  2019-01-04

2.  Health and Wealth: The Importance for Lifestyle Medicine.

Authors:  Wayne N Burton; Alyssa Schultz; Dee W Edington
Journal:  Am J Lifestyle Med       Date:  2021-04-03

3.  The Impact of Personalized Preventive Care on Health Care Quality, Utilization, and Expenditures.

Authors:  Shirley Musich; Shaohung Wang; Kevin Hawkins; Andrea Klemes
Journal:  Popul Health Manag       Date:  2016-02-12       Impact factor: 2.459

4.  Reducing Health Care Costs Through Patient Targeting: Risk Adjustment Modeling to Predict Patients Remaining High Cost.

Authors:  Jonathan Wrathall; Tom Belnap
Journal:  EGEMS (Wash DC)       Date:  2017-04-20
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.