Medication Adherence and Discontinuation of Aripiprazole Once-Monthly 400 mg (AOM 400) Versus Oral Antipsychotics in Patients with Schizophrenia or Bipolar I Disorder: A Real-World Study Using US Claims Data
verfasst von:
Tingjian Yan, Mallik Greene, Eunice Chang, Ann Hartry, Maëlys Touya, Michael S. Broder
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.
Methods
Two separate retrospective cohort analyses using Truven MarketScan data from January 1, 2012 to June 30, 2016 were conducted to compare medication adherence and discontinuation in patients with schizophrenia or BD-I who initiated treatment with AOM 400 vs. patients changed from one oral antipsychotic monotherapy to another. Adherence was defined as proportion of days covered (PDC) ≥ 0.80 in the year following the index date. Linear regression models examined the association between AOM 400 and oral antipsychotic cohorts and medication adherence. Kaplan–Meier curves and Cox regression estimated time to and risk of discontinuation, while adjusting for baseline covariates. A sensitivity analysis was conducted using a combination of propensity score matching and exact matching to create matched cohorts.
Results
Final cohort sizes were as follows—Schizophrenia: AOM 400 n = 408, oral antipsychotic n = 3361; BD-I: AOM 400 n = 413, oral antipsychotic n = 15,534. In patients with schizophrenia, adjusted mean PDC was higher in patients in the AOM 400 cohort vs. the oral antipsychotic cohort (0.57 vs. 0.48 P < 0.001), and patients in the oral antipsychotic cohort had a higher risk of discontinuing treatment vs. the AOM 400 cohort (HR 1.45, 95% CI 1.29–1.64). For patients with BD-I, adjusted mean PDC was higher for the AOM 400 cohort (0.59 vs. 0.44, P < 0.001), and patients in the oral antipsychotic cohort had a higher risk of discontinuation (HR 1.71, 95% CI 1.53–1.92).
Conclusions
In a real-word setting, AOM 400 resulted in a significantly higher percentage of patients with a PDC ≥ 0.80 and significantly longer time to treatment discontinuation compared to patients with schizophrenia or BD-I who received treatment with an oral antipsychotic.
Funding
Otsuka Pharmaceutical Development and Commercialization, Inc. and Lundbeck.
Schizophrenia and bipolar I disorder (BD-I) are both chronic psychiatric disorders that affect approximately 2.7 and 5.7 million people, respectively, in the USA [1, 2]. For both disorders, antipsychotic therapy has remained the standard treatment, and effective management of either disorder hinges on the persistent use of antipsychotic medications. As it is the case with many chronic conditions, adherence in patients with psychiatric disorders is often poor [3‐5]. Estimates for the percentage of nonadherent patients vary considerably and range from 34% to 81% for patients with schizophrenia [6‐12] and 20% to 60% for patients with BD-I [10]. Nonadherence to treatment has the potential to lead to serious consequences, including relapse, increased risk for hospitalization, increased costs, and increased rates of suicide [13, 14].
The advent of newer antipsychotic medications over the last decade has altered the treatment landscape and provided alternatives for patients with schizophrenia or bipolar disorders. Long-acting injectable antipsychotics (LAIs) were developed in part to help address the issues associated with adherence in patients with these disorders [15‐17]. Currently eight LAI agents are FDA approved for the treatment of schizophrenia [first-generation LAIs: fluphenazine decanoate, haloperidol decanoate; second-generation LAIs: aripiprazole monohydrate (Abilify Maintena®; AOM 400) [18], olanzapine pamoate, paliperidone palmitate 4 week (Invega Sustenna®) [19], risperidone microspheres (Risperdal Consta®) [20], aripiprazole lauroxil (Aristada®) [21], and paliperidone palmitate 12 week (Invega Trinza®) [22] ], and of these, AOM 400 and risperidone LAI are approved for the maintenance treatment of BD-I. AOM 400 is the more recently approved of the two agents (2013 for schizophrenia, 2017 for BD-I) and offers patients a once-monthly alternative that has been shown to be both effective and well-tolerated [23‐25]. Current treatment guidelines for schizophrenia recommend that clinicians consider LAIs, not only in patients who are inadequately adherent to pharmacological therapy [26‐30], but also in patients who prefer such treatment [31]. To date, limited studies exist comparing adherence between the LAIs—especially for the newer agents like AOM 400—and oral antipsychotics, particularly in a real-world setting [32].
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To evaluate adherence and time to discontinuation in a real-world setting, two separate retrospective cohort analyses using healthcare insurance claims data were conducted: the first focusing on patients with schizophrenia, and the second on patients with BD-I. The purpose of the study was to compare medication adherence and discontinuation between patients who initiated treatment with AOM 400 and those who changed from one oral antipsychotic monotherapy to another.
Methods
Data Sources and Study Design
The Truven Health MarketScan® Medicaid, commercial, and supplemental Medicare databases were used to identify patients with schizophrenia and BD-I. The MarketScan Medicaid Database contains healthcare claims from approximately 40 million Medicaid enrollees from multiple states. The database includes claims information for inpatient and outpatient services, outpatient prescription drug claims, and information on enrollment/eligibility, long-term care, and other aspects of medical care. In addition to standard demographic variables such as age and gender, the database also includes variables of value to researchers investigating Medicaid populations (e.g., ethnicity, maintenance assistance status, and Medicare eligibility). The MarketScan commercial database includes medical and pharmacy claims for approximately 65 million individuals and dependents covered through employer-sponsored private health insurance plans. The MarketScan Supplemental Medicare Database contains records on approximately 5.3 million retired employees and spouses at least 65 years of age who are enrolled in Medicare with supplemental Medigap insurance paid by former employers. The data used for both analyses were from January 1, 2012 through June 30, 2016. All databases are Health Insurance Portability and Accountability Act (HIPAA) compliant. This article does not contain any studies with human participants or animals performed by any of the authors. As this study utilized de-identified administrative claims, IRB approval was not required.
Study Sample
To be included in the schizophrenia cohort, patients were required to have at least one inpatient claim or at least two outpatient claims for schizophrenic disorders [International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) code: 295.xx, excluding 295.4x and 295.7x; or 10th Revision (ICD-10-CM) code: F20x, excluding F20.81x] in any diagnosis field of a claim during the study period [identification (ID) period was from January 1, 2013 to June 30, 2015]. Both existing and newly diagnosed patients were eligible for inclusion.
Two mutually exclusive cohorts of patients with schizophrenia were established: the aripiprazole once-monthly 400 mg (AOM 400) cohort and the oral antipsychotic cohort. For the AOM 400 cohort, patients with at least one claim for AOM 400 were identified during the ID period. The earliest occurrence (first date) of a claim for AOM 400 in the ID period was considered the index date. Patients with claims for AOM 400 in the year prior to the index date were excluded. The oral antipsychotic cohort consisted of patients with no claim for an LAI, but who changed from one oral antipsychotic to another oral antipsychotic monotherapy during the ID period [as evidenced by at least one pharmacy claim for an oral antipsychotic drug (see Supplementary Table S1) during the study ID period]. The index date for the oral antipsychotic cohort was the earliest date of the new oral antipsychotic prescription after switching from a previously different oral psychotic agent. The new monotherapy used on the index date was the index oral therapy.
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To ensure patients had pre-existing mental illness, the first diagnosis of schizophrenia had to be before or on the index date. Patients were required to be at least 18 years of age and have continuous plan enrollment for the 12-month baseline period and at least 12 months after the index date. Patients were excluded if they had a prescription claim for clozapine during the study period as clozapine is indicated for the treatment of severely ill patients with schizophrenia who fail to respond adequately to standard antipsychotic therapy [33‐35]. For the Medicaid-specific database, Medicare and Medicaid dual-eligible patients were also excluded, as were patients who did not have pharmacy coverage, did not have mental health coverage information, or had capitated plans, as data for these patients may have been incomplete. Patients were followed for at least 1 year and until the end of enrollment or study end, whichever occurred first.
An analogous identification and selection criteria was applied to patients with BD-I. ICD-9-CM codes used to identify BD-I included 296.0x, 296.1x, 296.4x, 296.5x, 296.6x, 296.7x, 296.8x (excluding 296.82), and ICD-10-CM codes F30.x and F31.x (excluding F31.81).
Baseline Measures
Baseline variables were measured in the 1-year pre-index baseline period. These included age, gender, race (available in Medicaid claims only), insurance type (commercial, Medicare supplemental, and Medicaid), Charlson comorbidity index (CCI) [36, 37], number of chronic condition indicators [38], somatic comorbidities [obesity, diabetes mellitus (DM), hyperlipidemia, and hypertension], somatic medication use (antidiabetic, antianxiety medications, and sedatives or hypnotics), and baseline inpatient hospitalizations or emergency department (ED) visits. The presence of claims for other psychiatric conditions was also evaluated (at least one claim required for depression, anxiety, personality disorder, substance abuse disorder, bipolar disorder for schizophrenia patients, and schizophrenia for bipolar disorder patients).
Outcome Measures
Adherence was measured by proportion of days covered (PDC) in the year immediately following the index date. PDC was determined by taking the number of available days of index therapy and dividing by 365 [39]. For AOM 400, the days supply was set to the minimum time between injections or the labeled dosing schedule (30 days), whichever was lower. For patients receiving oral antipsychotic agents, the days supply as reported on the prescription claim was used for the PDC calculation. Adherence was defined as a PDC ≥ 0.80. Discontinuation was defined as either a switch or gap of at least 60 days of available days supply during the entire follow-up period. Switching was defined as a claim for a non-index therapy within 60 days after index therapy discontinuation date.
Statistical Analysis
Descriptive analyses were used to evaluate differences in baseline characteristic between AOM 400 and oral antipsychotic users. Chi-square tests were used to evaluate differences for proportions of categorical variables, and two-sample t tests were used to evaluate differences in means of continuous variables. Linear regression models were used to examine the association between AOM 400 and oral antipsychotic cohorts and medication adherence. Models adjusted for baseline covariates [age, gender, race (white vs. non-white)], CCI, number of chronic indicators, any baseline inpatient hospitalization, presence of psychiatric comorbidities, and any baseline psychiatric or somatic medication use. Kaplan–Meier curves and Cox regression were employed to estimate time to and risks of medication discontinuation, respectively, while adjusting for the baseline covariates mentioned previously.
A sensitivity analysis was conducted and used a combination of propensity score matching and exact matching to identify matched AOM 400 vs. oral cohorts. Each AOM 400 user was matched with two oral antipsychotic users. Specifically, nearest neighbor matching with a caliper of width equal to 0.2 of the standard deviation of the logit of the propensity score [40] was performed, with propensity score estimated using a logistic regression model with AOM 400 user as dependent variable and demographics (age group, gender, and insurance type) and various baseline clinical characteristics as independent variables. The baseline clinical characteristics included modified CCI (excluding DM), number of HCUP chronic conditions, BD-I (or schizophrenia, depending on the condition under consideration), major depressive disorder (MDD), anxiety, personality disorder, substance abuse disorder, obesity, type 2 DM, inpatient hospitalization, selected psychiatric medication use, and selected somatic medication use. The psychiatric medications included were antidepressants, antianxiety medications, sedatives or hypnotics, and mood stabilizers (e.g., lithium). The somatic medications included were antidiabetic, lipid-lowering, and antihypertensive medications. Each AOM 400 user was exactly matched with two oral users on age group, gender, and insurance type. AOM 400 users without two matched oral antipsychotic users were excluded. All analyses were conducted using SAS version 9.4.
Results
Patient Selection and Baseline Characteristics
Of the 95,151 patients identified with schizophrenia, 1174 were identified as having a prescription for AOM 400. Once additional inclusion/exclusion criteria were applied, 408 patients remained in the AOM 400 cohort. There were 48,400 patients who received an oral antipsychotic in the ID period and no LAI. After additional study criteria were applied to this cohort, 3361 patients remained. Of the 521,450 patients identified with BD-I, 1117 patients were identified as having a prescription for AOM 400. Once additional study criteria were applied, 413 patients remained in the cohort. Of the 218,733 patients who received an oral antipsychotic in the ID period, 15,534 remained after additional study criteria was applied (Fig. 1). The duration of follow-up was statistically different between cohorts [schizophrenia, mean (SD) days: AOM 400 631.9 (211.7) vs. oral antipsychotic 773.6 (262.6), P < 0.001; BD-I: 625.6 (204.3) vs. 746.7 (260.7), P < 0.001].
Fig. 1
Sample selection. After study inclusion/exclusion were applied to identified patients with schizophrenia, 408 (AOM 400 cohort) and 3361 (oral antipsychotic cohort) patients were included in the study sample. In bipolar I disorder, 413 (AOM 400 cohort) and 15,534 (oral antipsychotic cohort) patients were included in the study sample
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Differences in baseline characteristics were noted between the AOM 400 cohorts and oral antipsychotic cohorts for both schizophrenia and BD-I patients. Among patients with schizophrenia, AOM 400 patients were significantly younger compared to oral antipsychotic patients (37.3 vs. 43.6 years, P < 0.001). The AOM 400 cohort had a lower percentage of women, but a higher percentage of white and African American patients compared to the oral antipsychotic cohort (P < 0.001 for all comparisons; note: race is only available for patients with Medicaid). In both cohorts the majority of patients were on Medicaid. In terms of clinical characteristics, patients with schizophrenia receiving AOM 400 had a significantly lower CCI and fewer chronic conditions, psychiatric comorbidities, and somatic comorbidities than patients receiving oral antipsychotics (P < 0.05 for all). Baseline medication use for psychiatric and somatic conditions was also lower for the AOM 400 cohort with schizophrenia (75.5% vs. 81.8%, P = 0.002), as were hospitalizations in the baseline period (44.6% vs. 54.5%, P < 0.001).
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Similar demographic trends were noted for patients with BD-I. Patients in the AOM 400 cohort were younger compared to patients receiving oral antipsychotics (34.0 years vs. 41.5 years, P < 0.001). The AOM 400 cohort also had a lower percentage of women, but a higher percentage of white and African American patients (P < 0.001 for each; note: race is only available for patients with Medicaid, therefore the percentage of patients with “unknown” is higher due to the mix of patients with Medicaid, Commercial, and Medicare Supplemental coverage). The majority of patients in the AOM 400 cohort were on Medicaid (AOM 400 72.9% vs. oral antipsychotic 34.7%), while the majority of patients in the oral antipsychotic cohort had commercial coverage (AOM 400 25.9% vs. oral antipsychotic 59.1%, P < 0.001). BD-I patients in the AOM 400 cohort had a higher percentage of patients with psychiatric comorbidities (80.4% vs. 75.5%, P = 0.021), but a lower use of selected psychiatric medications (87.2% vs. 93.5%, P < 0.001) (Table 1).
Table 1
Patient demographics
Schizophrenia
Bipolar I disorder
AOM 400 (n = 408; 10.8%)
Oral antipsychotics (n = 3361; 89.2%)
P value
AOM 400 (n = 413; 2.6%)
Oral antipsychotics (n = 15,534; 97.4%)
P value
Age, mean (SD)
37.3 (13.4)
43.6 (15.9)
< 0.001
34.0 (12.9)
41.5 (15.0)
< 0.001
Female, n (%)
172 (42.2)
1751 (52.1)
< 0.001
217 (52.5)
10,479 (67.5)
< 0.001
Race, n (%)
< 0.001
< 0.001
White
112 (27.5)
844 (25.1)
162 (39.2)
3408 (21.9)
African American
182 (44.6)
1043 (31.0)
113 (27.4)
1162 (7.5)
Other
40 (9.8)
431 (12.8)
26 (6.3)
814 (5.2)
Unknown (Commercial/med. suppl.)
74 (18.1)
1043 (31.0)
112 (27.1)
10,150 (65.3)
Insurance type, n (%)
< 0.001
< 0.001
Medicaid
334 (81.9)
2318 (69.0)
301 (72.9)
5384 (34.7)
Commercial
66 (16.2)
804 (23.9)
107 (25.9)
9185 (59.1)
Medicare supp.
8 (2.0)
239 (7.1)
5 (1.2)
965 (6.2)
CCI, mean (SD)
1.0 (1.6)
1.5 (2.1)
< 0.001
1.1 (1.7)
1.1 (1.8)
0.488
No. chronic conditions, mean (SD)
3.6 (2.3)
4.3 (2.4)
< 0.001
4.0 (2.3)
4.1 (2.3)
0.360
Psychiatric comorbidities, n (%)
282 (69.1)
2578 (76.7)
< 0.001
332 (80.4)
11,721 (75.5)
0.021
Major depressive disorder
87 (21.3)
1036 (30.8)
< 0.001
118 (28.6)
5653 (36.4)
0.001
Anxiety
145 (35.5)
1440 (42.8)
0.005
201 (48.7)
8529 (54.9)
0.012
Personality disorder
54 (13.2)
408 (12.1)
0.524
77 (18.6)
1538 (9.9)
< 0.001
Substance abuse
141 (34.6)
1203 (35.8)
0.623
163 (39.5)
4635 (29.8)
< 0.001
Bipolar disorders
164 (40.2)
1537 (45.7)
0.034
–
–
–
Schizophrenia
–
–
–
166 (40.2)
1557 (10.0)
< 0.001
Somatic comorbidities
230 (56.4)
2086 (62.1)
0.026
235 (56.9)
8241 (53.1)
0.122
Use of any oral antipsychotic medication, n (%)
386 (94.6)
3361 (100)
NA
369 (89.3)
15,534 (100)
NA
Any use of selected psychiatric medicationsa, n (%)
308 (75.5)
2750 (81.8)
0.002
360 (87.2)
14,532 (93.5)
< 0.001
Somatic medicationsb, n (%)
185 (45.3)
1751 (52.1)
0.010
200 (48.4)
7887 (50.8)
0.347
Any baseline inpatient hospitalization, n (%)
182 (44.6)
1832 (54.5)
< 0.001
218 (52.8)
6603 (42.5)
< 0.001
aAntidepressant, antianxiety, sedatives or hypnotics, and mood stabilizer medications
bAntidiabetic, lipid-lowering, and antihypertensive medications
Unadjusted Adherence Measures and Time to Discontinuation
During the 1-year post-index follow-up period, patients with schizophrenia in the AOM 400 cohort had a significantly higher percentage of patients adherent to their index medication compared to patients in the oral antipsychotic cohort (33.6% vs. 28.4%, P < 0.001). Unadjusted mean PDC was also significantly higher for the AOM 400 cohort (0.56 vs. 0.45, P < 0.001), and the percentage of patients who switched therapy was significantly lower (75.2% vs. 85.0%, P < 0.001) (Table 2). The median time to discontinuation was 193 days for the AOM 400 cohort compared to 89 days for the oral antipsychotic cohort (P < 0.001) (Fig. 2).
Table 2
Unadjusted results: proportion of days covered (PDC) and medication discontinuation during the 1-year follow-up period
Schizophrenia
Bipolar I disorder
AOM 400 (n = 408; 10.8%)
Oral antipsychotics (n = 3361; 89.2%)
P value
AOM 400 (n = 413; 2.6%)
Oral antipsychotics (n = 15,534; 97.4%)
P value
PDC, mean (SD)
0.56 (0.32)
0.45 (0.33)
< 0.001
0.58 (0.32)
0.44 (0.34)
< 0.001
Medication adherence rate (PDC ≥ 0.80), n (%)
137 (33.6)
953 (28.4)
< 0.001
148 (35.8)
3699 (23.8)
< 0.001
Discontinuation or switch, n (%)
307 (75.2)
2857 (85.0)
< 0.001
309 (74.8)
13,623 (87.7)
< 0.001
Fig. 2
Time to discontinuation of index treatment (schizophrenia): the AOM 400 cohort had a longer median time to discontinuation of index treatment compared to the oral antipsychotic cohort
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The same trends were noted among patients with BD-I. The percentage of patients categorized as adherent was significantly higher for the AOM 400 cohort compared to the oral antipsychotic cohort (35.8% vs. 23.8%, P < 0.001), and the unadjusted PDC was also significantly higher for the AOM 400 cohort (0.58 vs. 0.44, P < 0.001). The percentage of patients who discontinued or switched therapy was significantly lower for the AOM 400 cohort (74.8% vs. 87.7%, P < 0.001) (Table 2). The median time to discontinuation was 224 days for the AOM 400 cohort compared to 84 days for the oral antipsychotic cohort (P < 0.001) (Fig. 3).
Fig. 3
Time to discontinuation of index treatment (bipolar I disorder): the AOM 400 cohort had a longer median time to discontinuation of index treatment compared to the oral antipsychotic cohort
×
Adjusted Adherence Measures and Risk of Discontinuation
In patients with schizophrenia, linear regression and Cox regression models confirmed that after adjusting for differences in covariates, the adjusted mean PDC remained higher in patients in the AOM 400 cohort when compared to the oral antipsychotic cohort (0.57 vs. 0.48, P < 0.001), and patients in the oral antipsychotic cohort had a higher risk of discontinuing treatment than patients in the AOM 400 cohort (HR 1.45, 95% CI 1.29–1.64) (Table 3).
Table 3
Multivariate results: risk of discontinuation and adjusted medication adherence (PDC) estimates
Oral antipsychotic (Ref: AOM 400)
Risk of discontinuation of index treatment in follow-up perioda
Index treatment PDC during the 1-year follow-up periodb
HR (95% CI)
P value
Estimate (95% CI)
P value
Schizophrenia
1.45 (1.29–1.64)
< 0.001
− 0.094 (− 0.13 to − 0.058)c
< 0.001
Bipolar I disorder
1.71 (1.53–1.92)
< 0.001
− 0.157 (− 0.191 to − 0.123)d
< 0.001
Adjusted for age groups, gender, race (White vs. Non-White), Charlson comorbidity index, number of chronic conditions, any baseline inpatient hospitalization or ED visit, depression, anxiety, BD-I (schizophrenia for the cohort of patients with BD-I), baseline psychiatric medications use, and baseline somatic medication use
Similarly, for patients with BD-I, the adjusted mean PDC was higher for the AOM 400 cohort (0.59 vs. 0.44, P < 0.001), and patients in the oral antipsychotic cohort had a higher risk of discontinuing treatment than patients in the AOM 400 cohort (HR 1.71, 95% CI 1.53–1.92) (Table 3).
Sensitivity Analyses
In the matched cohort analyses for patients with schizophrenia, there were 397 patients in the AOM 400 cohort and 794 in the oral antipsychotic cohort. For BD-I, there were 404 in the AOM 400 cohort and 808 in the oral antipsychotic cohort. After matching, no significant differences were noted for age, gender, or comorbidities for schizophrenia or BD-I, indicating that the matching parameters were successful (Supplementary Table S2).
As was the case in the main analyses, patients with schizophrenia in the AOM 400 cohort had a significantly higher percentage of patients adherent to their index medication compared to patients in the oral antipsychotic cohort (33.0% vs. 27.1%, P < 0.001). Mean PDC was also significantly higher the AOM 400 cohort vs. the oral antipsychotic cohort (0.56 vs. 0.47 P < 0.001). The percentage of patients who discontinued or switched medication followed the same trends, with a lower percentage of patients in the AOM 400 cohort switching or discontinuing (76.1% vs. 86.4%, P < 0.001) (Supplementary Table S3). The median time to discontinuation was 186 days for the AOM 400 cohort vs. 89 days for the oral antipsychotic cohort (P < 0.001) (Supplementary Fig. S1).
Similar trends were also noted with BD-I patients. The AOM 400 cohort had a significantly higher percentage of patients adherent to index medication vs. the oral antipsychotic cohort (36.4% vs. 22.3%, P < 0.001). Mean PDC for the AOM 400 cohort was 0.58 vs. 0.42 for the oral antipsychotic cohort (P < 0.001). A lower percentage of patients discontinued or switched in the AOM 400 cohort vs. the oral antipsychotic cohort (74.5% vs. 87.6%, P < 0.001) (Supplementary Table S3). The median time to discontinuation was 226 days for the AOM 400 cohort vs. 74 days for the oral antipsychotic cohort (P < 0.001) (Supplementary Fig. S2).
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Discussion
This was a large retrospective study that compared medication adherence and discontinuation between patients receiving AOM 400 and patients who changed to a new oral antipsychotic monotherapy in patients with schizophrenia or BD-I in a real-world setting. Patients with schizophrenia who received AOM 400 had a significantly higher PDC and significantly higher percentages of patients who were adherent to therapy during the 1-year follow-up period, had a 104-day-longer median time to medication discontinuation, and were significantly less likely to discontinue their medication during the entire follow-up period than patients who changed to another oral antipsychotic therapy. These trends were also noted in patients with BD-I. Patients receiving AOM 400 had significantly higher PDC, a greater proportion adherent, a 140-day-longer median time to discontinuation, and were significantly less likely to discontinue medication during follow-up. A propensity score matched cohort analysis showed that results were consistent across matched cohorts.
Real-world studies comparing individual LAIs to oral antipsychotics are sparse, particularly for second-generation LAIs. Pilon et al. evaluated the second-generation LAIs (paliperidone palmitate LAI, risperidone LAI, aripiprazole LAI, and olanzapine LAI) with oral antipsychotic agents in Medicaid patients with schizophrenia. Patients receiving a second-generation LAI were more likely to reach PDC ≥ 0.80 (OR 1.28, P < 0.001) and be persistent (i.e., no gap 60 days or longer) (OR 1.45, P < 0.001) than patients who received oral antipsychotic agents. Comparisons for individual agents varied by agent and by the definition of gap used [41].
Marcus et al. evaluated LAIs on a class level, generation level, and individual agent level (fluphenazine decanoate, haloperidol decanoate, risperidone LAI, and paliperidone palmitate—as the study was published in 2015) as compared to oral antipsychotics in patients with schizophrenia following hospital discharge. Primary outcomes measures were nonadherence (PDC < 0.80), discontinuation, and rehospitalization all in the 6 months following discharge. A significantly smaller percentage of patients receiving LAIs were nonadherent (51.8% vs. 67.7%, P < 0.001). Both first-generation and second-generation LAIs had lower percentages of patients who were nonadherent when evaluated separately compared with patients receiving oral antipsychotics. When individual agents were assessed, patients who initiated paliperidone palmitate had significantly lower rates of rehospitalization [42].
There are several studies that evaluate LAIs as a class versus oral agents that have been published over the years [32, 43‐45], but many of these studies had a limited follow-up time (within a 1-year period) or small sample sizes. Greene et al. evaluated PDC and time to discontinuation in patients with schizophrenia and bipolar disorder, and found that as a class, LAI users had a 5% higher adjusted mean adherence and were 20% less likely to discontinue medication during follow-up when compared to patients receiving oral antipsychotics in patients with schizophrenia. Similar results were noted in a bipolar disorder population, with patients receiving LAIs having 5% better adherence and being 19% less likely to discontinue therapy [32].
Large, real-world database studies of LAIs consistently show trend towards improved adherence, and many also show reduced resource utilization. However, efficacy results from randomized controlled trials (RCTs) have been mixed [26, 46]. While some RCTs suggest that treatment with LAIs leads to significant better medication adherence than orals [47, 48], other RCTs suggest that there are no differences in treatment duration or discontinuation between LAIs and orals [49, 50]. Even though RCTs are often considered gold standards for comparing efficacy of different treatments, they may not be best suited for studies of adherence. Compared to real-world studies, patients recruited in RCTs may be less severely ill, have their medication use more closely monitored, and are more likely to be motived to be adherent regardless of treatment [46]. Additionally, RCTs generally have small samples and durations too short to provide meaningful information about drugs that must be taken indefinitely [26].
This study had limitations. First, this is a retrospective, observational study based on pre-existing data. Variables not captured in the database may have influenced the study results. For example, intolerability of the new oral antipsychotic may be responsible for some of the adherence advantage observed in AOM 400. In contrast, patients’ fear or hesitation about injections may have attenuated the advantage of AOM 400. Lack of data on other confounding variables, such as clinical diagnosis of disease, duration of illness, psychometrics, and clinical symptom status, may have also contributed to the differences in adherence to treatment between AOM 400 and oral users. Furthermore, as a result of the observational nature of the study, no causal relationship should be drawn on the basis of the study findings. Second, claims data used for this analysis are generated for reimbursement, not research, and coding errors, misclassification, diagnostic uncertainty, and/or omissions could affect the reliability of the findings. Nevertheless, health insurance claims data remain a valuable source of information because they contain a large and valid sample of patient characteristics in a real-world setting. Third, despite the fact that PDC is a preferred method for measuring medication adherence [32], it has its limitations. For instance, because it requires at least two dispensings, it excludes most nonadherent patients [51]. Additionally, even though the 80% cutoff level is commonly used to define medication adherence in the literature, it is somewhat arbitrary. Further clinical investigation is needed to define appropriate PDC cutoffs for various medications. Finally, a claim for an oral medication is only indicative that a prescription was filled, not that it was actually taken (or taken as prescribed). However, a claim of LAIs is much more reliable than that of oral antipsychotics to indicate that the drug has been actually delivered to the body, which is critical in interpreting any LAI versus oral comparisons.
Conclusions
Medication adherence and persistence are vital to the success in the treatment of patients with psychiatric disorders, including schizophrenia and BD-I. Finding alternative therapies and ways to improve adherence can lead to improved outcomes in these populations. There is a growing body of evidence to suggest that the LAIs have the potential to result in better adherence and lower discontinuation rates. The results of the current study showed that in a real-word setting, an individual LAI agent—AOM 400—resulted in a significantly higher percentage of patients with a PDC ≥ 0.80 and a significantly longer time to treatment discontinuation when compared to patients with schizophrenia or BD-I who received treatment with an oral antipsychotic.
Acknowledgements
Funding
Funding for the study, the open access fee and the article processing charges were received from Otsuka Pharmaceutical Development and Commercialization, Inc. and Lundbeck. All authors had full access to all of the data in this study and take complete responsibility for the integrity of the data and accuracy of the data analysis.
Medical Writing and/or Editorial Assistance
Writing and editorial assistance was provided by Meg Franklin, PharmD, PhD.
Authorship
All named authors meet the International Committee of Medical Journal Editors (ICMJE) criteria for authorship for this article, take responsibility for the integrity of the work as a whole, and have given their approval for this version to be published.
Disclosures
Tingjian Yan is an employee of PHAR, LLC, which was paid by Otsuka and Lundbeck to perform the research described in this manuscript. Michael S. Broder is an employee of PHAR, LLC, which was paid by Otsuka and Lundbeck to perform the research described in this manuscript. Eunice Chang is an employee of PHAR, LLC, which was paid by Otsuka and Lundbeck to perform the research described in this manuscript. Mallik Greene is an employee of Otsuka Pharmaceutical Development and Commercialization, Inc. Ann Hartry is an employee of Lundbeck. Maëlys Touya is an employee of Lundbeck.
Compliance with Ethics Guidelines
This article does not contain any studies with human participants or animals performed by any of the authors.
Data Availability
The data that support the findings of this study are available from Truven Health Analytics but restrictions apply to the availability of these data, which were used under license for the current study, and so are not publicly available. Data are however available from the authors upon reasonable request and with permission of Truven Health.
Open Access
This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
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Medication Adherence and Discontinuation of Aripiprazole Once-Monthly 400 mg (AOM 400) Versus Oral Antipsychotics in Patients with Schizophrenia or Bipolar I Disorder: A Real-World Study Using US Claims Data
verfasst von
Tingjian Yan Mallik Greene Eunice Chang Ann Hartry Maëlys Touya Michael S. Broder
