Literature DB >> 11844001

Self-reported utilization of preventive health services by retired employees age 65 and older.

S Musich1, A Ignaczak, T McDonald, D Hirschland, D W Edington.   

Abstract

OBJECTIVES: Increased utilization of preventive services among the aging has been associated with improved health status and decreased medical costs. We sought to examine the use of the Health Risk Appraisal (HRA) in benchmarking compliance and characterizing those retired employees who met preventive service guidelines.
DESIGN: A retrospective cohort study of retired employees age 65 and older.
SETTING: Nation-wide health promotion program offered by General Motors Corporation. PARTICIPANTS: 59,670 retired General Motors employees age 65 and older who participated in a nationwide mailed HRA health promotion program. MEASUREMENTS: Preventive health services compliance was measured using selected HRA questions. Gender, HRA participation patterns, overall health risk status, medical plan selection and disease status were examined as predictors of increased compliance. Multivariate logistic regression models were developed to test the relative contributions of participant characteristics to increased utilization.
RESULTS: The self-reported HRA data indicated that compliance levels were higher than national averages. The Healthy People 2000 goals for the preventive services studied were met and exceeded (with the exception of tetanus immunization). Higher compliance was associated with being male, younger than 70 years, multiple-year HRA participation, overall low risk status and HMO insurance plan selection.
CONCLUSION: The results from the HRA indicated that this population participated at a higher level than a comparable national sample exceeding goals set by Healthy People 2000.

Entities:  

Mesh:

Year:  2001        PMID: 11844001

Source DB:  PubMed          Journal:  J Am Geriatr Soc        ISSN: 0002-8614            Impact factor:   5.562


  3 in total

1.  Who participates in chronic disease self-management (CDSM) programs? Differences between participants and nonparticipants in a population of multimorbid older adults.

Authors:  Melissa Dattalo; Erin R Giovannetti; Daniel Scharfstein; Chad Boult; Stephen Wegener; Jennifer L Wolff; Bruce Leff; Kevin D Frick; Lisa Reider; Katherine Frey; Gary Noronha; Cynthia Boyd
Journal:  Med Care       Date:  2012-12       Impact factor: 2.983

2.  Age-related disparities in cancer screening: analysis of 2001 Behavioral Risk Factor Surveillance System data.

Authors:  Anthony F Jerant; Peter Franks; J Elizabeth Jackson; Mark P Doescher
Journal:  Ann Fam Med       Date:  2004 Sep-Oct       Impact factor: 5.166

3.  Changes in preventive care utilisation and its influencing factors among Chinese adults before and after the healthcare reform: cross-sectional evidence from the China Health and Nutrition Survey in 2004-2015.

Authors:  Ting Ting Wu; Wei Wei Liu; Mao Zou; Xun Lei; Qiang Yang; Manoj Sharma; Yong Zhao; Zu Min Shi
Journal:  BMJ Open       Date:  2020-10-01       Impact factor: 2.692

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.