Literature DB >> 29338952

Behavioral Risk Factors and Regional Variation in Cardiovascular Health Care and Death.

Kathleen M Fairfield1, Adam W Black2, F Lee Lucas2, Andrea E Siewers2, Mylan C Cohen3, Christopher T Healey4, Allison C Briggs5, Paul K J Han2, John E Wennberg6.   

Abstract

INTRODUCTION: Reducing the burden of death from cardiovascular disease includes risk factor reduction and medical interventions.
METHODS: This was an observational analysis at the hospital service area (HSA) level, to examine regional variation and relationships between behavioral risks, health services utilization, and cardiovascular disease mortality (the outcome of interest). HSA-level prevalence of cardiovascular disease behavioral risks (smoking, poor diet, physical inactivity) were calculated from the Behavioral Risk Factor Surveillance System; HSA-level rates of stress tests, diagnostic cardiac catheterization, and revascularization from a statewide multi-payer claims data set from Maine in 2013 (with 606,260 patients aged ≥35 years), and deaths from state death certificate data. Analyses were done in 2016.
RESULTS: There were marked differences across 32 Maine HSAs in behavioral risks: smoking (12.4%-28.6%); poor diet (43.6%-73.0%); and physical inactivity (16.4%-37.9%). After adjustment for behavioral risks, rates of utilization varied by HSA: stress tests (28.2-62.4 per 1,000 person-years, coefficient of variation=17.5); diagnostic cardiac catheterization (10.0-19.8 per 1,000 person-years, coefficient of variation=17.3); and revascularization (4.6-6.2 per 1,000 person-years; coefficient of variation=9.1). Strong HSA-level associations between behavioral risk factors and cardiovascular disease mortality were observed: smoking (R2=0.52); poor diet (R2=0.38); and physical inactivity (R2=0.35), and no association between revascularization and cardiovascular disease mortality after adjustment for behavioral risk factors (R2=0.02). HSA-level behavioral risk factors were also strongly associated with all-cause mortality: smoking (R2=0.57); poor diet (R2=0.49); and physical inactivity (R2=0.46).
CONCLUSIONS: There is substantial regional variation in behavioral risks and cardiac utilization. Behavioral risk factors are associated with cardiovascular disease mortality regionally, whereas revascularization is not. Efforts to reduce cardiovascular disease mortality in populations should focus on prevention efforts targeting modifiable risk factors.
Copyright © 2017 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2018        PMID: 29338952     DOI: 10.1016/j.amepre.2017.11.011

Source DB:  PubMed          Journal:  Am J Prev Med        ISSN: 0749-3797            Impact factor:   5.043


  4 in total

1.  Can diverse population characteristics be leveraged in a machine learning pipeline to predict resource intensive healthcare utilization among hospital service areas?

Authors:  Iben M Ricket; Todd A MacKenzie; Jennifer A Emond; Kusum L Ailawadi; Jeremiah R Brown
Journal:  BMC Health Serv Res       Date:  2022-06-30       Impact factor: 2.908

2.  Functional representation of the network organisation of dialysis activities in France: A novel level for assessing quality of care.

Authors:  Cécile Couchoud; René Ecochard; Mathilde Prezelin-Reydit; Thierry Lobbedez; Florian Bayer
Journal:  PLoS One       Date:  2022-10-20       Impact factor: 3.752

3.  Potentially preventable urinary tract infection in patients with type 2 diabetes - A hospital-based study.

Authors:  Maria Cristina Carrondo; Joaquim Jorge Moita
Journal:  Obes Med       Date:  2020-01-28

4.  Factors Associated with Cardiovascular Disease Risk among Employees at a Portuguese Higher Education Institution.

Authors:  Maria Piedade Brandão; Pedro Sa-Couto; Gonçalo Gomes; Pedro Beça; Juliana Reis
Journal:  Int J Environ Res Public Health       Date:  2022-01-13       Impact factor: 3.390

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.