Journal of rehabilitation research and development
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The Medicare Current Beneficiary Survey (MCBS) is a longitudinal, multipurpose panel survey of a nationally representative sample of Medicare beneficiaries sponsored by the Centers for Medicare and Medicaid Services (CMS). The MCBS serves as a comprehensive data source on self-reported health and socioeconomic status, health insurance, healthcare utilization and costs, and patient satisfaction. CMS uses Medicare claims data to validate self-reported Medicare Fee-For-Service (FFS) utilization. ⋯ Since reliable VHA utilization and cost data existed in either FY1998 or FY1999 onward, study goals include estimating the relative share and/or cost of care provided by Medicare and the VHA. Researchers with access to VHA datasets should consider merging them into the MCBS and replacing self-reported utilization and CMS's imputed costs with VHA administrative data. This replacement would significantly improve the accuracy, quality, and usefulness of the MCBS dataset for policy research.
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The Department of Veterans Affairs (VA) provides integrated services to more than 25,000 veterans with spinal cord injuries and disorders (SCI/D). VA data offer great potential for providing insights into healthcare utilization and morbidity, and these capabilities are central to efforts to improve healthcare for veterans with SCI/D. The objective of this article is to introduce researchers to the use of VA data to examine questions related to SCI/D using examples from Spinal Cord Injury (SCI) Quality Enhancement Research Initiative studies. ⋯ Methods used to identify veterans with SCI/D include the Allocation Resource Center cohort, the Spinal Cord Dysfunction (SCD) Registry, and the VA inpatient SCI flag; only 33% of veterans were included in all three groups (n = 12,306). While neurological level of SCI was unknown for approximately a third of veterans (from SCD Registry data alone), the percent decreased to 13% when augmented with diagnostic codes. Primary data can be used to augment other missing SCI data and to provide more detailed information about complications commonly associated with SCI/D.
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We evaluated the improvement in Department of Veterans Affairs (VA) race data completeness that could be achieved by linking VA data with data from Medicare and the Department of Defense (DOD) and examined agreement in values across the data sources. After linking VA with Medicare and DOD records for a 10% sample of VA patients, we calculated the percentage for which race could be identified in those sources. To evaluate race agreement, we calculated sensitivities, specificities, positive predictive values (PPVs), negative predictive values, and kappa statistics. ⋯ Kappa statistics reflected these patterns. Supplementing VA with Medicare and DOD data improves VA race data completeness substantially. More study is needed to understand poor rates of agreement between VA and external sources in identifying non-African-American minority individuals.
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This article is the first to describe Department of Veterans Affairs (VA) patients' use of Medicaid at a national level. We obtained 1999 national VA enrollment and utilization data, Centers for Medicare and Medicaid Services enrollment and claims, and Medicare information from the VA Information Resource Center. The research team created files for program characteristics and described the VA-Medicaid dually enrolled population, healthcare utilization, and costs. ⋯ Dually enrolled women veterans cost ~55% less than men. Medicaid benefits complement VA and are more accessible in many states. VA researchers need to consider including Medicaid utilization and costs in their studies if they target populations or programs related to long-term care or mental disorders.
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We evaluated an Internet-mediated, pedometer-based program to promote walking in chronic obstructive pulmonary disease (COPD). First, we assessed the accuracy of the Omron HJ-720ITC pedometer (OMRON Healthcare, Inc; Bannockburn, Illinois) in 51 persons with COPD. The Bland-Altman plot showed a median difference of 3 steps (5th and 95th quintiles, -8.0 and 145.0, respectively). ⋯ The Omron is accurate in persons with COPD with usual walking speeds > 0.94 m/s. Accuracy is more variable at lower speeds, but the Omron captures more than 80% of manual step counts in most persons. In this preliminary study, an Internet-mediated walking program using the Omron significantly increased step counts in COPD.