ArticleOsteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA2026
Trends and disparities in DXA testing for osteoporosis among Medicare beneficiaries, 2005-2023.
Article in Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
DXA utilization among Medicare beneficiaries declined 35% from 2005 to 2023. Declines were disproportionately larger among racial/ethnic minorities and socioeconomically deprived groups, while use increased among highest-acuity patients. These findings highlight widening inequities in DXA testing and underscore the need for targeted policy and public health interventions.
objectiveThe objective of this study is to examine the association between demographic and socioeconomic (SES) factors and national trends in dual-energy X-ray absorptiometry (DXA) testing among Medicare beneficiaries.
methodsThis 19-year repeated cross-sectional study used 5% Medicare fee-for-service claims (2005-2023) to assess the annual utilization of DXA. Claims missing patient ZIP code, age, or race/ethnicity were excluded. Patient acuity was measured using the Neiman Imaging Comorbidity Index (NICI). Patient residence ZIP codes were used to determine urbanicity and Area Deprivation Index. Annual DXA utilization was calculated per 100,000 beneficiaries overall and stratified by SES covariates. Covariate associations with DXA utilization were assessed using logistic regression and comparisons of adjusted odds ratios (AOR) between years quantified utilization changes.
resultsWe identified 5,243,098 unique beneficiaries from 2005 to 2023 (mean 2,517,265 beneficiaries per year); 1,218,904 (23.2%) beneficiaries had at least one DXA. Annual use per 100,000 beneficiaries declined 35.4% from 7255 in 2005 to 4,690 in 2023. Hispanic beneficiaries saw the largest percentage decrease (-35.3%) in AOR of DXA utilization from 2005 (AOR, 0.93) to 2023 (AOR, 0.60), while beneficiaries with NICI ≥ 7 demonstrated the largest percentage increase (+57.7%) in AOR of DXA utilization from 2005 (AOR, 1.11) to 2023 (AOR, 1.70).
conclusionsUnderserved populations have seen greater declines in DXA utilization compared with the observed national decline from 2005 to 2023. Future studies should identify the underlying factors associated with these disparities to inform public health interventions that enhance equitable utilization of DXA testing across the nation.
Indexed as
Identifiers
42560542What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.