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Bladder-related issues such as nocturnal enuresis and incontinence have long been a part of general pediatric practice. Increasingly, clinicians are prescribing medications directed at a variety of types of bladder dysfunction, but no prior population-based data exist. We used MarketScan health care claims data on 32 074 638 insured children to estimate utilization patterns by age, sex, year, and geographic region in the United States from 2000 to 2013, and to assess related diagnosis codes. Approximately 1 in 500 children filled an antimuscarinic prescription. The most common prescriptions were for oxybutynin (78%) and tolterodine (17%). Rates were highest at ages 6 to 10 years (65/100 000 person-months), 31% higher for girls versus boys, peaked in 2011 (44/100 000 person-months), and were highest in the Midwest (59/100 000 person-months). Seventy-three percent of children with prescriptions had diagnosis codes for genitourinary symptoms, and 13% had codes for congenital anomalies. Research is needed regarding the comparative effectiveness and safety of these drugs in children. [ABSTRACT FROM AUTHOR]

Objective: To evaluate trends in urodynamic procedures in the U.S. males from 2000–2012 and determine if a 2010 decline in reimbursement was associated with decreased utilization. Subjects and methods: We analyzed 2000–2012 administrative healthcare claims from Truven Health’s Marketscan Database and evaluated males ≥18 years of age. We identified cystometrograms and any concurrent procedures using procedure billing codes. Covariates included age, year of cystometrogram, region and associated diagnosis codes. We estimated standardized cystometrogram utilization rates per 10,000 person-years (PY). We used age, region, and calendar year adjusted Poisson regression models to estimate the independent effect of calendar year and region. Results: During 127,558,186 PY of observation, we identified 153,168 cystometrograms for an overall utilization rate of 12.0 per 10,000 PY (95% CI 11.9–12.1). Cystometrogram utilization increased with age, peaking at age 85 with a rate of 77.7 per 10,000 PY (95% CI 74.7–80.7). Adjusted cystometrogram utilization rate ratios show that compared to a referent of 2000–2004, utilization was significantly higher in each year 2005 to 2011 among all patients and in 2012 among patients ≥ 65. Standardized utilization rates peaked in 2008 at 12.4 per 10,000 PY (95% CI 12.2–12.6), remained elevated until 2010, then decreased slightly in 2011 and substantially in 2012 to 8.5 per 10,000 PY (95% CI 8.4–8.7). Conclusions: Utilization of urodynamic procedures increased until 2010 and decreased thereafter. Utilization was greatest among men older than 65. [ABSTRACT FROM AUTHOR]

Purpose: Evaluate use of fixed and all-available look-backs to identify eligibility criteria and confounders among Medicare beneficiaries., Methods: We identified outpatient visits (2007-2012) with recently documented (≤180 days) cardiovascular risk and classified patients according to whether the exposure (statin) was initiated within 14 days. We selected each beneficiary's first eligible visit (in each treatment group) that met criteria during the respective look-backs: continuous enrollment (1 or 3 years for fixed look-back; 180 days for all-available), no cancer history, and no statin claims. We estimated crude and standardized mortality ratio weighted hazard ratios (HRs) for the effect of statin initiation on incident 6-month cancer (a known null effect) and 2-year mortality, separately, adjusting for covariates assessed by using each look-back., Results: Analyzing short-term cancer, the estimated HR from the all-available approach (HR = 0.90, 95% CI: 0.83, 0.98) was less biased than the 1-year look-back (HR = 0.79, 95% CI: 0.73, 0.84), which included beneficiaries with prevalent cancer. The 3-year look-back (HR = 1.05, 95% CI: 0.90, 1.21) was somewhat less biased than the all-available estimate but less precise due the exclusion of a large proportion of observations without sufficient continuous enrollment (62.0% and 59.9% of initiators and non-initiators, respectively). All approaches produced similar estimates of the effect on all-cause mortality. Alternative look-backs did not differ in their ability to control confounding., Conclusions: The all-available look-back performed nearly as well as the 3-year fixed, which produced the least biased point estimate. If 3-year look-backs are infeasible (eg, due to power/sample), all-available look-backs may be preferable to short (1-year) fixed look-backs., (Copyright © 2018 John Wiley & Sons, Ltd.)

Objective: Compare incidence of opioid-managed pelvic pain within 12 months after hysteroscopic and laparoscopic sterilization., Methods: Using administrative claims, we identified women aged 18-49 years without recent history of childbirth who underwent hysteroscopic or laparoscopic sterilization between 2005 and 2012. We defined the outcome as ≥2 diagnoses for pelvic pain and ≥2 prescription fills for opioids. We calculated adjusted hazard ratios (HR) using Cox models and propensity score methods (matching and inverse-probability-of-treatment-weighting [IPTW])., Results: We identified 71,875 eligible women (hysteroscopic n = 26,927 [37.5%], laparoscopic n = 44,948 [62.5%]). Of those, 236 (0.88%) hysteroscopic patients and 420 (0.93%) laparoscopic patients experienced the outcome (crude HR = 0.97, 95%CI: [0.83, 1.14]). Adjusted analyses also yielded near-null results (matched HR = 1.08, 95%CI [0.90, 1.31]; IPTW HR = 0.97, 95%CI [0.80, 1.18]). While most sensitivity analyses generated results close to the null, hazard ratios estimated using propensity score matching ranged from 0.65 to 1.53., Conclusions: Among women without recent history of childbirth, we did not find compelling evidence of a clinically meaningful increase in the incidence of pelvic pain requiring opioids during the year after hysteroscopic sterilization. However, effects observed in sensitivity analyses may merit further investigation., (Copyright © 2015 John Wiley & Sons, Ltd.)

Background: Existing publicly reported readmission measures are condition-specific, representing less than 20% of adult hospitalizations. An all-condition measure may better measure quality and promote innovation., Objective: To develop an all-condition, hospital-wide readmission measure., Design: Measure development study., Setting: 4821 U.S. hospitals., Patients: Medicare fee-for-service beneficiaries aged 65 years or older., Measurements: Hospital-level, risk-standardized unplanned readmissions within 30 days of discharge. The measure uses Medicare fee-for-service claims and is a composite of 5 specialty-based, risk-standardized rates for medicine, surgery/gynecology, cardiorespiratory, cardiovascular, and neurology cohorts. The 2007-2008 admissions were randomly split for development and validation. Models were adjusted for age, principal diagnosis, and comorbid conditions. Calibration in Medicare and all-payer data was examined, and hospital rankings in the development and validation samples were compared., Results: The development data set contained 8 018 949 admissions associated with 1 276 165 unplanned readmissions (15.9%). The median hospital risk-standardized unplanned readmission rate was 15.8 (range, 11.6 to 21.9). The 5 specialty cohort models accurately predicted readmission risk in both Medicare and all-payer data sets for average-risk patients but slightly overestimated readmission risk at the extremes. Overall hospital risk-standardized readmission rates did not differ statistically in the split samples (P = 0.71 for difference in rank), and 76% of hospitals' validation-set rankings were within 2 deciles of the development rank (24% were more than 2 deciles). Of hospitals ranking in the top or bottom deciles, 90% remained within 2 deciles (10% were more than 2 deciles) and 82% remained within 1 decile (18% were more than 1 decile)., Limitation: Risk adjustment was limited to that available in claims data., Conclusion: A claims-based, hospital-wide unplanned readmission measure for profiling hospitals produced reasonably consistent results in different data sets and was similarly calibrated in both Medicare and all-payer data., Primary Funding Source: Centers for Medicare & Medicaid Services.