Benefits, Harms, and Costs of Osteoporosis Screening in Male Veterans

Abstract

This is a longitudinal cohort study of approximately 5,000,000 screened and non-screened for osteoporosis, older veterans who received care within the VA system during the study period, followed for up to 10 years to measure fracture rates, mortality rates, treatment-related harms, and cost. In the past year, over 200 hundred variables were defined and data for each variable has been pulled with comparisons underway. Identification of the screened cohort is near completion. The propensity score model has been developed and analysis to estimate the impact of osteoporosis screening and treatment on fracture and mortality rates has begun. Additional analyses will determine whether bisphosphonate treatment is associated with a change in fracture rates or mortality. Treatment-related harms will be examined using time to event modeling with receipt of bisphosphonate as the time varying covariate of interest. The process of defining harms variables is underway with anticipated completion imminent. Costs will be measured prospectively for all subjects in the cohort, and adjusted for important covariates. A cost differential for screened and unscreened populations will be calculated. To estimate health system costs under varying screening thresholds and conditions we have employed modeling analyses. Cost variables are currently being defined.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2014
Accession Number
ADA613418

Entities

People

  • Cathleen S. Colon-emeric
  • Megan Pearson

Organizations

  • Institute for Medical Research

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Abstracts
  • Biomedical Research
  • Bone Fractures
  • Data Sets
  • Databases
  • Diseases And Disorders
  • Health Services
  • Identification
  • Internal Medicine
  • Medical Personnel
  • Medicare
  • Natural Language Processing
  • Natural Languages
  • Osteoporosis
  • Risk
  • Risk Factors
  • Surgery

Fields of Study

  • Medicine

Readers

  • Clinical Trial Research.
  • Oncology and Biomarker-Based Cancer Detection.
  • Regression Analysis.