Vaishali Patel

OnabotulinumtoxinA Improves Health-Related Quality of Life in Patients With Urinary Incontinence Due to Idiopathic Overactive Bladder: A 36-Week, Double-Blind, Placebo-Controlled, Randomized, Dose-Ranging Trial

BACKGROUND Patients with urgency urinary incontinence (UUI) due to overactive bladder (OAB) refractory to oral antimuscarinics have limited therapeutic options. OnabotulinumtoxinA appears to be an effective new treatment. OBJECTIVE Assess disease-specific quality-of-life outcomes and general health-related quality-of-life (HRQOL) outcomes following treatment with onabotulinumtoxinA in patients with idiopathic OAB and UUI inadequately managed with antimuscarinics. DESIGN, SETTING, AND PARTICIPANTS A phase 2, randomized, double-blind, placebo-controlled, dose-ranging study conducted at 40 sites from July 2005 to June 2008 with 313 patients (288 females) with idiopathic OAB experiencing eight or more UUI episodes per week and eight or more micturitions per day at baseline, with follow-up of 36 wk. INTERVENTION Intradetrusor onabotulinumtoxinA (50 U, 100 U, 150 U, 200 U, or 300 U) or placebo. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS HRQOL was assessed using the urinary Incontinence-Specific Quality-of-Life Instrument (I-QOL), the Kings Health Questionnaire (KHQ) symptom component, and the Medical Outcomes Study 36-Item Short-Form Health Survey. Descriptive statistics were used for absolute scores/changes from baseline. Within-group changes from baseline were assessed using paired t tests. Change from baseline for each onabotulinumtoxinA group compared with placebo was analyzed using an analysis of covariance model. RESULTS AND LIMITATIONS OnabotulinumtoxinA treatment at doses≥100 U produced significantly greater improvements than placebo in the I-QOL total and subscale scores at all follow-up visits from week 2 through week 24 (p<0.05). OnabotulinumtoxinA doses≥100 U produced significantly greater improvements than placebo in the KHQ symptom score at a majority of follow-up visits. HRQOL instruments demonstrated low to moderate correlations (Spearman correlation range: 0.01-0.51) with the symptoms of UUI recorded using daily diary data, with I-QOL demonstrating the highest correlations. A study limitation was that certain quality-of-life measures were exploratory and not validated. CONCLUSIONS A single onabotulinumtoxinA treatment with doses≥100 U resulted in statistically significant and clinically meaningful improvement in HRQOL by week 2 compared with placebo, and this improvement was sustained for ≤36 wk in patients with idiopathic OAB and UUI who were inadequately managed by oral antimuscarinics. TRIAL REGISTRATION ClinicalTrials.gov identifier: NCT00168454.

Impact of urinary incontinence on healthcare resource utilization, health-related quality of life and productivity in patients with overactive bladder

To evaluate the impact of urinary incontinence (UI) on healthcare resource utilization (HRU), health‐related quality of life (HRQoL) and productivity measures in patients with overactive bladder (OAB).

Treatment satisfaction and improvement in health-related quality of life with onabotulinumtoxinA in patients with urinary incontinence due to neurogenic detrusor overactivity†‡§

OnabotulinumtoxinA significantly reduces urinary incontinence (UI) and improves bladder management in patients with neurogenic detrusor overactivity (NDO). We evaluated the impact of onabotulinumtoxinA on patient‐reported outcomes (PROs) in patients with UI due to NDO in a double‐blind, placebo‐controlled study.

Treatment satisfaction and goal attainment with onabotulinumtoxinA in patients with incontinence due to idiopathic OAB

Introduction and hypothesisClinically meaningful overactive bladder syndrome (OAB) symptom relief is associated with patient satisfaction. This study evaluated the effects of onabotulinumtoxinA on patient satisfaction and goal attainment.MethodsIn a 36-week, multicenter, double-blind study, 313 participants with idiopathic OAB and urinary urgency incontinence inadequately managed with anticholinergics were randomized to placebo or one of five onabotulinumtoxinA doses. Assessment included a modified OAB-Patient Satisfaction with Treatment Questionnaire (PSTQ) and four Patient Global Assessment questions assessed changes in symptoms, quality of life, activity limitations, and emotions.ResultsMean changes from baseline in OAB-PSTQ scores for the main module (Q2–Q13) at week 12 were greater for each onabotulinumtoxinA group (range, −31.5% to −48.9%) versus placebo (−17.6%). Greater proportions of patients in onabotulinumtoxinA groups attained their primary goal (range, 34.5% to 65.3%) versus placebo (23.7%).ConclusionsPatients with OAB are more likely to be satisfied and/or achieve their primary treatment goal with onabotulinumtoxinA treatment than with placebo, consistent with symptom improvements.

The impact of lower urinary tract symptoms on health-related quality of life among patients with multiple sclerosis.

Lower urinary tract symptoms are commonly experienced among patients with multiple sclerosis (MS), however, their impact on health‐related quality of life (HRQOL) has not been well characterized. Herein the incremental impact of lower urinary tract symptoms on HRQOL among patients with MS has been evaluated.

Patient adherence and persistence with topical ocular hypotensive therapy in real-world practice: a comparison of bimatoprost 0.01% and travoprost Z 0.004% ophthalmic solutions

Background Effective control of intraocular pressure is predicated upon patient compliance with pharmacotherapy. We compared patient adherence and persistence with two new ocular hypotensive formulations, using real-world utilization data. Methods This observational cohort study employed pharmacy claims data from the Source® Lx (Wolters Kluwer Pharma Solutions) database. Patients with an initial (index) prescription for topical bimatoprost 0.01% or travoprost Z (April to June 2011) and no claim for ophthalmic prostaglandin or prostamide analogs within the previous 18 months were identified. Treatment adherence was expressed as proportion of days covered with study medication during the first 365 days after the index prescription. Treatment persistence with study medication was assessed over the first 12 months using Kaplan–Meier survival analyses, allowing a maximum 30-day gap for prescription refill. Treatment status was determined monthly over this period. Results A total of 12,985 patients were assessed for treatment adherence, and 10,470 for treatment persistence. Adherence was better with bimatoprost 0.01% than with travoprost Z (mean proportion of days covered 0.540 versus [vs] 0.486, P<0.001), and more patients showed high adherence (proportion of days covered >0.80) with bimatoprost 0.01% than travoprost Z (29.1% vs 22.3%, P<0.001). Continuous 12-month persistence was higher with bimatoprost 0.01% than with travoprost Z (29.5% vs 24.2%, P<0.001). At month 12, more patients were on treatment with bimatoprost 0.01% than travoprost Z (48.8% vs 45.7%, P<0.01). Similar findings were demonstrated in cohorts of ocular hypotensive treatment-naïve patients, branded latanoprost switchers, and older patients (age ≥65 years), and after inclusion of patient characteristics as covariates. Conclusion For patients with glaucoma or ocular hypertension, bimatoprost 0.01% offers compliance advantages over travoprost Z.

Comparison of adherence and persistence with bimatoprost 0.01% versus bimatoprost 0.03% topical ophthalmic solutions

Abstract Objective: To compare patient adherence and persistence with bimatoprost 0.01%, a new formulation that offers equivalent intraocular pressure-lowering efficacy to bimatoprost 0.03% and improved tolerability, with that of the original bimatoprost 0.03% formulation. Methods: Pharmacy claims from a longitudinal database of prescription and medical claims for >115 million patients were analyzed. Patients with an initial (index) prescription for bimatoprost 0.01% or 0.03% between April and June 2011, and with no claim for ophthalmic prostaglandin or prostamide analogs during the preceding 18 months, were identified. Treatment adherence was expressed as the proportion of days covered (PDC) with study medication over the first 365 days after the index prescription. Treatment persistence over the first 12 months following the index prescription was assessed using Kaplan–Meier analyses, assuming a 30 day grace period for prescription refill. Treatment status (on/off study medication) was determined monthly for 12 months post-index. Results: In total, 6150 patients were assessed for treatment adherence and 7660 for persistence. Adherence was significantly better with bimatoprost 0.01% than bimatoprost 0.03% (mean PDC 0.540 vs. 0.438; p < 0.001). Significantly more patients had high adherence (PDC > 0.80) with bimatoprost 0.01% than 0.03% (29.1% vs. 17.3%; p < 0.001). Persistence was also significantly better with bimatoprost 0.01%, with 29.5% (95% confidence interval [CI]: 28.3%, 30.8%) versus 18.3% (95% CI: 16.8%, 19.9%) of patients remaining on continuous treatment for 12 months (p < 0.001). At 12 months, significantly more patients were ‘on treatment’ (continuing/restarting treatment) with bimatoprost 0.01% than 0.03% (48.8% vs. 33.9%; p < 0.001). Sensitivity analyses demonstrated similar findings in cohorts of ocular hypotensive treatment-naïve and elderly (≥65 years) patients. Conclusions: Bimatoprost 0.01% offers adherence and persistency advantages over bimatoprost 0.03% in patients requiring ocular hypotensive therapy. Study limitations included the observational design, lack of control for imbalances in patient characteristics, and assumption that prescription refill is synonymous with medication use.

Predictors of Nonadherence to Topical Intraocular Pressure Reduction Medications Among Medicare Members: A Claims-Based Retrospective Cohort Study.

BACKGROUND Reported adherence rates with ocular hypotensive medications typically range from 51% to 56% over the first year of therapy. As intraocular pressure (IOP) reduction slows the progression of vision loss from glaucoma, early identification of nonadherent members is crucial to effective disease management. OBJECTIVES To (a) identify member characteristics and other factors related to nonadherence with topical IOP-lowering medications available in administrative claims data and (b) create a predictive model incorporating these variables. METHODS This retrospective cohort study analyzed data from Humanas administrative claims database. The study cohort included members aged 65-89 years enrolled in a Medicare Advantage Prescription Drug plan (MAPD; medical and pharmacy benefits), with > 1 topical IOP-lowering medication claims between January 2011 and September 2012 and a minimum of 24 months of continuous enrollment-12 months before and 12 months after the initial (index) prescription claim for a topical IOP-lowering medication. Adherence was defined as the proportion of days covered (PDC) with drug supply (calculated from the number of drops per bottle and dose) over the first year after the index prescription. Members with PDC > 0.80 were considered adherent, while members with PDC < 0.80 were considered nonadherent. Multivariable stepwise logistic regression with backward elimination was used to construct a predictive model for the likelihood of nonadherence (PDC < 0.80). The model was developed using 28 input variables*#x2013;10 variables were retained in the final model. RESULTS 73,256 MAPD members were included in this study; most (69%) of these members were continuing topical IOP-lowering medication users. The proportion of patients adherent (PDC > 0.80) to IOP-lowering medications was 51%. The study sample was split, using a 2:1 ratio, into a development sample (n = 48,840 members) and a validation sample (n=24,416 members). The model performed equally well in the development sample and the validation sample (area under the curve = 0.71 for development and validation sets), making it appear robust in this Medicare population. In the final predictive model, characteristics increasing the likelihood (P < 0.01) of nonadherence to IOP-lowering medication within the MAPD population included index IOP prescription filled through mail order, higher medical costs during the pre-index period, being a new IOP-lowering medication user, and being male. Characteristics that lowered the likelihood of nonadherence included advanced age, higher pharmacy costs during the pre-index period, receiving a low-income subsidy, residing in the South, and a previous diagnosis of open-angle glaucoma or history of glaucoma surgery. CONCLUSIONS Nonadherence to topical IOP-lowering medication can be predicted with 10 commonly available demographic, clinical, and treatment-related variables generally available in administrative claims data for an MAPD population. Given that this predictive model was constructed using these generally available data, it could potentially be replicated by other health plans for use in predicting nonadherence to topical IOP-lowering medications among MAPD plan members. This predictive model can be used to identify members that are likely to be nonadherent in order to target interventions intended to improve ocular hypotensive medication adherence. DISCLOSURES Funding for this study was contributed by Allergan. Comprehensive Health Insights was contracted by Allergan to conduct this study. Sheer, Bunniran, and Uribe are employed by Comprehensive Health Insights/Humana and own stock in Humana. Fiscella, Chandwani, and Patel are employed by Allergan. Study concept and design were contributed by Sheer, Fiscella, and Patel, along with Bunniran and Uribe. Sheer and Bunniran took the lead in data collection, and data interpretation was performed by Bunniran and Uribe, along with the other authors. The manuscript was written and revised by Sheer, Bunniran, Chandwani, and Uribe, with assistance from Fiscella and Patel.

An adherence based cost–consequence model comparing bimatoprost 0.01% to bimatoprost 0.03%

Abstract Objectives: Estimate the long-term direct medical costs and clinical consequences of improved adherence with bimatoprost 0.01% compared to bimatoprost 0.03% in the treatment of glaucoma. Methods: A cost–consequence model was constructed from the perspective of a US healthcare payer. The model structure included three adherence levels (high, moderate, low) and four mean deviation (MD) defined health states (mild, moderate, severe glaucoma, blindness) for each adherence level. Clinical efficacy in terms of IOP reduction was obtained from the randomized controlled trial comparing bimatoprost 0.01% with bimatoprost 0.03%. Medication adherence was based on observed 12 month rates from an analysis of a nationally representative pharmacy claims database. Patients with high, moderate and low adherence were assumed to receive 100%, 50% and 0% of the IOP reduction observed in the clinical trial, respectively. Each 1 mmHg reduction in IOP was assumed to result in a 10% reduction in the risk of glaucoma progression. Worse glaucoma severity health states were associated with higher medical resource costs. Outcome measures were total costs, proportion of patients who progress and who become blind, and years of blindness. Deterministic sensitivity analyses were performed on uncertain model parameters. Results: The percentage of patients progressing, becoming blind, and the time spent blind slightly favored bimatoprost 0.01%. Improved adherence with bimatoprost 0.01% led to higher costs in the first 2 years; however, starting in year 3 bimatoprost 0.01% became less costly compared to bimatoprost 0.03% with a total reduction in costs reaching US

Comorbidity and health care visit burden in working-age commercially insured patients with diabetic macular edema

3433 over a lifetime time horizon. Deterministic sensitivity analyses demonstrated that results were robust, with the majority of analyses favoring bimatoprost 0.01%. Application of 1 year adherence and efficacy over the long term are limitations. Conclusions: Modeling the effect of greater medication adherence with bimatoprost 0.01% compared with bimatoprost 0.03% suggests that differences may result in improved economic and patient outcomes.