Mallik Greene

Aim: To examine hospitalization risk factors in antipsychotic-treated patients with schizophrenia, bipolar I disorder (BD-I) or major depressive disorder (MDD). Patients & methods: Using Truven Health MarketScan ^® Commercial, Medicaid and Medicare Supplemental data (01/01/2012–06/30/2016), logistic regression models were performed to identify risk factors for both psychiatric and all-cause hospitalization in three separate analyses. Results: Significant risk factors included prior hospitalization (schizophrenia: odds ratio [95% CI]: 2.83 [2.50–3.21; psychiatric]; 2.58 [2.31–2.87; all-cause]; BD-I: 2.42 [2.23–2.63]; 2.09 [1.96–2.23]; MDD: 2.81 [2.49–3.16]; 2.21 [2.03–2.40]), previous antipsychotic treatment (schizophrenia: 1.71 [1.52–1.93]; 1.31 [1.18–1.46]; BD-I: 1.33 [1.23–1.44]; 1.22 [1.14–1.30]; MDD: 1.31 (1.11–1.54); 1.17 (1.04–1.32) and substance abuse (schizophrenia: 1.42 [1.27–1.60]; 1.37 [1.23–1.53]; BD-I: 1.72 [1.58–1.86]; 1.61 [1.50–1.72]; MDD: 1.90 [1.68–2.15] and 1.55 [1.41–1.71]). Conclusion: Prior hospitalization, previous antipsychotic treatment and substance abuse were associated with increased hospitalization risk in schizophrenia, BD-I or MDD.

Objective: Early initiation of antipsychotic treatment in schizophrenia is associated with improved outcomes. This study aimed to determine if initiation of long-acting injectable (LAI) antipsychotic treatment early in a new schizophrenia episode is associated with lower hospitalization rates and healthcare costs in a real-world setting. Methods: This retrospective (January 1, 2007–June 30, 2016) cohort analysis used claims from Truven Health Analytics MarketScan Commercial, Medicaid, and Medicare Supplemental databases. In adults ≥18 years with a new episode of schizophrenia, two mutually exclusive cohorts were identified based on time from first recorded schizophrenia diagnosis date to first date of LAI initiation (index date): ≤1 year (early initiators) and >1 year (late initiators). Logistic and general linear regression models were performed to estimate adjusted hospitalization rate and healthcare costs in a 1-year follow-up, controlling patient demographic and clinical characteristics, insurance type, baseline all-cause hospitalizations and ED visits, and baseline psychiatric medication use. Results: Of the subjects, 32% (n = 1388) initiated treatment early and 68% (n = 2978) initiated treatment later. In risk-adjusted models, all-cause hospitalization rates were 22.2% (95% CI = 19.9–24.6%) in early initiators and 26.9% (95% CI = 25.2–28.7%) in late initiators (p = .002). Of early initiators, 14.1% (95% CI = 12.3–16.1%) had a psychiatric hospitalization vs 19.2% (95% CI = 17.7–20.8%) of late initiators (p < .001). Adjusted psychiatric healthcare costs were significantly lower in early initiators compared with late initiators [mean (95% CI) = $21,545 (20,355–22,734) vs $24,132 (23,330–24,933)] (p < .001). Conclusions: LAI initiation within 1 year of a new schizophrenia episode led to lower hospitalization rates and healthcare costs compared with LAI initiation more than 1 year after a new episode.

There is little evidence regarding the most effective timing of augmentation of antidepressants (AD) with antipsychotics (AP) in patients with major depressive disorder (MDD) who inadequately respond to first-line AD (inadequate responders). The study’s objective was to understand the association between timing of augmentation of AD with AP and overall healthcare costs in inadequate responders.

Aims: This study explored the association between medication adherence to oral atypical antipsychotics (AAP) and both psychiatric hospitalization and associated costs in bipolar I disorder (BD-I) in a real-world setting. Materials and Methods: This retrospective study used the Truven Health MarketScan® Medicaid, Commercial, and Medicare Supplemental claims Databases. Adults were identified if they had BD-I and initiated an AAP treatment during the study identification period (7/1/15-6/30/16 for Medicaid, 7/1/15-3/31/16 for Commercial and Medicare Supplemental) and had ≥6-month continuous enrollment before (baseline) and after (follow-up) the first day of treatment. Medication adherence was measured by the proportion of days covered (PDC) and grouped as: fully-adherent (PDC ≥80%), partially-adherent (40%≤PDC Results: The final sample consisted of 5,892 (32.0%) fully-adherent, 4,246 (23.1%) partially-adherent, and 8,250 (44.9%) non-adherent patients. The adjusted rate of psychiatric hospitalization during the follow-up period was lower in the fully-adherent (6.0%) vs. partially-(8.3%) or non-adherent (8.8%) groups (p < 0.001). Using the fully-adherent cohort as the reference group, the odds of psychiatric hospitalization were significantly higher for the partially-adherent (1.42 (1.23-1.64)) and non-adherent (OR (95% CI): 1.51 (1.33-1.71)) cohorts. The mean adjusted psychiatric hospitalization cost over 6 months among hospitalized patients was lower for the fully-adherent cohort ($11,748), than the partially-adherent ($15,051 p = 0.002), or non-adherent cohorts ($13,170, not statistically significant). Limitations: The medication adherence measures relied on prescription claims data, not actual use. Conclusions: In the treatment of BD-I, better medication adherence to AAP was associated with fewer psychiatric hospitalizations. Among hospitalized patients, fully-adherent patients had statistically significantly lower psychiatric costs than partially-adherent ones. These findings suggest that improving adherence to AAP in BD-I may be a valuable goal from both clinical and economic perspectives.

Objective: Patient support programs, such as the ASSURE Program for long-acting injectable aripiprazole, are designed to help support access to medications, including long-acting injectable (LAI) antipsychotics for patients with schizophrenia. This study was conducted to evaluate adherence to long-acting injectable aripiprazole among patients utilizing the program local care centers (LCC). Methods: Data collected from participating LCC between October 2014 and February 2018 were utilized. Characteristics of patients receiving injections at LCC and participating in additional support services of the program, types of program offering utilized and patient cost share for long-acting injectable aripiprazole were described. Adherence, measured as the proportion of days covered (PDC) during follow-up, was estimated in patients utilizing the LCC for 6 months and 9 months. Patients with PDC ≥80% were considered adherent to treatment. Results: Two hundred and thirty-four patients received at least one injection at participating LCC and enrolled in the patient support program. Mean (SD) age was 37.3 (13.5) years; 60.7% were male; 32.5% were covered by Medicare. In total, 157 and 87 patients were actively utilizing the LCC for at least 6 months and 9 months, respectively. PDC of 97% and 98% were reported among patients with 6 months and 9 months of follow-up, respectively, and patients were considered adherent to long-acting injectable aripiprazole during follow-up. Conclusion: Patients utilizing the LCC demonstrated high medication adherence, suggesting that injection services provided by the centers may reduce barriers to treatment and help patients with schizophrenia remain on LAI antipsychotic treatment.

Aim: To compare risk of hospitalization in patients with bipolar I disorder (BD-I) initiating long-acting injectable antipsychotics (LAIs). Materials & methods: Using Truven Health Analytics MarketScan^® (Medicaid, Commercial and Medicare Supplemental) databases (2012–2016), patients (≥18 years) with BD-I with a LAI (aripiprazole once monthly [AOM 400], fluphenazine-LAI, haloperidol-LAI, risperidone-LAI and paliperidone-4-week-LAI) were identified. Results: The adjusted odds of having hospitalization were significantly higher in haloperidol-LAI (Odds ratio [95% CI]: 1.39 [1.03–1.87] all-cause; p = 0.029; 1.41 [1.03–1.93] psychiatric-specific; p = 0.032) and risperidone-LAI (1.54 [1.12–2.13]; p = 0.009; 1.68 [1.20–2.37]; p = 0.003) users versus AOM 400 users. Risks of hospitalization did not differ comparing fluphenazine-LAI and paliperidone-LAI users with AOM 400 users. Conclusion: AOM 400 may be more beneficial at reducing hospitalization rates in BD-I versus haloperidol-LAI and risperidone-LAI.

Aims: Antipsychotic medications are associated with an increased risk of hyperprolactinemia, but differ in their propensity to cause this complication. This study aimed to assess the economic burden of hyperprolactinemia, and to compare its risk among adult patients using atypical antipsychotics (AAs) with a mechanism of action associated with no/low vs high/moderate prolactin elevation. Methods: This retrospective cohort study was based on US Commercial and Medicaid claims databases. Healthcare costs were compared between matched hyperprolactinemia and hyperprolactinemia-free cohorts using a two-part model. Risk of hyperprolactinemia was compared between patients receiving AAs with a mechanism of action associated with no/low (no/low prolactin elevation cohort) vs high/moderate prolactin elevation (high/moderate prolactin cohort) using logistic regression. Results: In the commercially insured sample, compared to the hyperprolactinemia-free cohort (n = 499), the hyperprolactinemia cohort (n = 499) was associated with incremental total healthcare costs of $5,732 ($20,081 vs $14,349; p = .004), and incremental medical costs of $3,861 ($13,218 vs $9,357; p = .040), mainly driven by hyperprolactinemia-related costs. In the Medicaid-insured sample, compared to the hyperprolactinemia-free cohort, the hyperprolactinemia cohort was associated with incremental total healthcare costs of $10,773 ($30,763 vs $19,990; p = .004), and incremental medical costs of $9,246 ($20,859 vs $11,613; p = .004), mainly driven by hyperprolactinemia-related and mental health-related costs. The odds of hyperprolactinemia in the no/low prolactin elevation cohort were 4–5-times lower than that in the high/moderate prolactin elevation cohort (odds ratio =0.21; p < .001). Limitations: Hyperprolactinemia may be under-reported in claims data. Conclusions: Hyperprolactinemia is associated with substantial healthcare costs. AAs associated with no/low prolactin elevation reduce the risk of hyperprolactinemia by 4–5-times compared to AAs associated with moderate/high prolactin elevation. Treatment options with minimal impact on prolactin levels may contribute to reducing hyperprolactinemia burden in AA-treated patients.

Few studies have compared adherence between long-acting injectable antipsychotics, especially for newer agents like aripiprazole once-monthly 400 mg (AOM 400; aripiprazole monohydrate) and oral antipsychotics, in patients with schizophrenia or bipolar I disorder (BD-I) in a real-world setting.