ArticleUrology2015
Physician Use of Sacral Neuromodulation Among Medicare Beneficiaries With Overactive Bladder and Urinary Retention.
Article in Urology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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
2 citing papers in PubMed.
- Third-line therapy for overactive bladder in the elderly: Nuances and considerations.Neurourology and urodynamics · 2022Review
- Adverse events of sacral neuromodulation for fecal incontinence reported to the federal drug administration.World journal of gastrointestinal pharmacology and therapeutics · 2016Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
objectiveTo identify physician-level factors associated with high rates of sacral neuromodulation testing. MATERIALS AND
methodsWe performed a retrospective cohort study using a 20% sample of national Medicare claims to identify physicians who performed sacral neuromodulation procedures between 2005 and 2010. Physician-level rates of device testing were determined based on the number of patients seen for overactive bladder and urinary retention diagnoses in the office in each calendar year. These rates were then used to fit a Poisson model to examine factors associated with high rates of device testing.
resultsThe number of physicians performing test procedures increased 4-fold from 2005 to 2010. Average rates of test procedures increased from 4.0 to 6.4 procedures per physician per year (P <.001), whereas rates of device implantation remained stable (P = .23). Physicians who had higher rates of device testing were associated with lower rates of device implantation (estimate, -1.76, P <.01). Other predictors of physicians with higher test rates included more recent calendar year, testing done in any setting other than an ambulatory surgery center, gynecology subspecialty, and geographic location in the South and West (all P values <.01).
conclusionOver time, physicians are testing more patients but are not implanting more devices. Additionally, there is an inverse relationship between rates of device testing and implantation, suggesting opportunities to improve efficiency and resource utilization.
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