Abstract
Background
Antipsychotic medications are used to treat schizophrenia and may be associated with adverse effects, including tardive dyskinesia (TD), following prolonged use or upon changes in dosing regimen.
Objective
This retrospective analysis evaluated the burden of antipsychotic dose reduction in Medicare patients with schizophrenia.
Methods
This matched cohort study used Medicare claims data (2006–2017) analyzed for patients with schizophrenia and two or more claims for antipsychotics, with one or more antipsychotic monotherapy period ≥ 90 days. Cohorts were defined for patients with antipsychotic dose reductions ≥ 10% and stable doses. A separate analysis was conducted using patients with dose reductions ≥ 30%. Outcomes included all-cause emergency room (ER) visits, all-cause inpatient visits, schizophrenia relapse, other psychiatric relapse, and TD diagnosis. Covariates included age, disease duration, comorbidities, and medication use.
Results
The analysis included 276,030 patients with ≥ 10% dose reductions and 211,575 patients with ≥ 30% dose reductions. Patient characteristics were balanced between cohorts. Patients with ≥ 10% or ≥ 30% dose reductions had a shorter time to ER visit, inpatient visit, schizophrenia relapse, other psychiatric relapse, and TD diagnosis versus those receiving stable doses (all p < 0.001). Significance was maintained when unmatched baseline characteristics were adjusted.
Conclusions
Patients with antipsychotic dose reductions may be at risk for increased ER visits, increased hospitalizations, and significant unfavorable mental health-related clinical outcomes, suggesting that dose reduction may increase overall health care burden in some patients with schizophrenia. This work highlights the need for alternative strategies in the management of patients with TD.
Supplementary Information
The online version contains supplementary material available at 10.1007/s40261-021-01060-3.
Key Points
| Medicare patients with antipsychotic dose reductions may have increased health care resource use and be at increased risk for mental health-related clinical outcomes. |
| Antipsychotic dose reductions may increase overall health care burden for some patients with schizophrenia. |
Introduction
Schizophrenia is a psychiatric disorder commonly associated with social and occupational impairments [1]. People with schizophrenia experience positive symptoms (e.g., hallucinations, delusions, disorganized speech), negative symptoms (e.g., flattened affect, avolition, alogia), cognitive impairment, and mood disorders. These symptoms are often debilitating and contribute to the high economic burden associated with schizophrenia [2].
Antipsychotic medications are the mainstay of treatment for schizophrenia [3]. Despite their efficacy in treating schizophrenic symptoms, antipsychotics are associated with significant adverse effects such as extrapyramidal symptoms (e.g., dystonia, akathisia, parkinsonism) and tardive dyskinesia (TD) [4]. TD, in particular, is a potentially serious hyperkinetic movement disorder that occurs following prolonged use of dopamine-receptor antagonists [5–7] and can also emerge as a result of antipsychotic dosage changes or treatment discontinuation [8]. TD occurs in approximately 20–50% of patients treated with antipsychotics and is characterized by involuntary movements of the mouth, trunk, and limbs that are typically stereotypic, choreiform, or dystonic and can be socially stigmatizing, with negative effects on quality of life [7]. Although the incidence of TD has declined in recent years with the widespread use of atypical antipsychotics [6], the risk of developing TD remains clinically significant [9].
Although two vesicular monoamine transporter 2 (VMAT2) inhibitors have been approved by the US FDA for the treatment of TD, health care providers may attempt antipsychotic dose reductions as a means to treat TD despite limited data supporting the efficacy and safety of this approach [10]. Dose reductions may lead to an increased risk of certain forms of TD, including withdrawal-emergent dyskinesia [8], as well as psychiatric relapse [11], which can increase the likelihood of hospitalization, treatment resistance, cognitive impairment, incarceration, personal distress, and thwarted rehabilitation efforts [12].
Evidence on the efficacy of antipsychotic dose reduction or withdrawal for managing TD remains limited [10, 13]. Recent retrospective cohort studies have found that antipsychotic dose reductions in Medicaid patients aged ≥ 18 years with schizophrenia, bipolar disorder, or major depressive disorder led to significant increases in both all-cause and mental health-related hospitalizations [14, 15]. Since there is a dearth of evidence discussing antipsychotic dose reduction for the management of TD in the elderly population, this study aimed to evaluate the impact of antipsychotic dose reductions on all-cause health care resource use (HRU) and mental health-related clinical outcomes in Medicare patients with schizophrenia.
Methods
Data Source
This retrospective matched cohort analysis used de-identified patient data from the 100% Medicare database + Part D linkage from 1 January 2006 to 31 December 2017. The data comprised enrollment and claims history from Medicare Part A (institutional services, including inpatient and outpatient claims), Medicare Part B (non-institutional services, including carrier and medical equipment services), and Medicare Part D (prescription drug claims). Patients can be eligible for Medicare due to age (≥ 65 years), disability, or end-stage renal disease. This study received an exemption from the New England Institutional Review Board.
Patients
Patients were eligible for inclusion in the study if they had one or more diagnoses of schizophrenia (International Classification of Diseases, Ninth Revision, Clinical Modification [ICD-9-CM] code 295.xx or International Classification of Diseases, Tenth Revision, Clinical Modification [ICD-10-CM] codes F20.x or F25.x). Following their first observed diagnosis of schizophrenia, patients were required to have two or more pharmacy claims for oral antipsychotics, one or more antipsychotic monotherapy treatment period lasting ≥ 90 days, and ≥ 6 months of continuous Medicare eligibility prior to the index date (baseline period), which was defined as the first antipsychotic prescription date following this ≥ 90-day period. If a patient had multiple ≥ 90-day periods of antipsychotic monotherapy, the final index date was randomly selected from all eligible index dates. Patients were excluded from the study if they received treatment with long-acting injectable antipsychotics or concurrent antipsychotics during the observation period, which ended at the earliest of the end of continuous eligibility, dose escalation, medication change, or 2 years after the index date.
Patients were classified into two cohorts based on patterns of antipsychotic medication use: patients who experienced a ≥ 10% dose reduction in antipsychotic medication during the ≥ 90-day period of antipsychotic monotherapy, and patients who continued receiving a stable antipsychotic dose, defined as a dose reduction < 10%. Cohorts were matched 1:1, without replacement, based on age, sex, typical versus atypical antipsychotic use, and index year. Sensitivity analyses were conducted to compare matched cohorts with ≥ 30% dose reductions or those who continued on a stable dose, defined as dose reductions < 30%.
Outcomes
Patients were assessed for all-cause HRU outcomes, including emergency room (ER) and inpatient visits, as well as mental health-related clinical outcomes, including schizophrenia relapse, other psychiatric relapse, and TD diagnosis, during the observation period (i.e., end of continuous eligibility, dose escalation, medication change, or 2 years after the index date). Schizophrenia relapse was defined as an ER or inpatient visit for schizophrenia, and other psychiatric relapse was defined as an ER or inpatient visit for psychiatric conditions excluding schizophrenia (i.e., substance-related and addictive, depressive, bipolar, trauma- and stressor-related, anxiety, sleep–wake, personality, and other psychotic disorders). TD diagnosis corresponded to ICD-9-CM code 333.85 (subacute dyskinesia due to drugs) or ICD-10-CM code G24.01 (drug-induced subacute dyskinesia).
Statistical Analyses
Differences between cohorts were evaluated using Wilcoxon signed-rank tests for continuous variables and McNemar’s tests for dichotomous variables. Kaplan–Meier analyses were used to estimate median times to HRU and mental health-related clinical outcomes. Cohorts were compared using log-rank tests. Patients with TD at baseline were excluded from the TD analysis. Multivariable Cox proportional hazard models were used to compare outcomes between cohorts after adjusting for unmatched baseline characteristics, such as age, disease duration, Charlson Comorbidity Index (CCI) score, psychiatric comorbidity profile, use of psychotherapy, and use of psychiatric medications. In separate analyses, results were analyzed in subgroups stratified by patient age (≥ 65 years vs. < 65 years) at the index date to compare outcomes according to Medicare eligibility (i.e., age vs. disability, respectively).
Results
Patients
Overall, 1,406,070 patients were diagnosed with schizophrenia during the study period. In total, 276,030 patients who met the final inclusion criteria were included in the ≥ 10% antipsychotic dose reduction cohort and matched 1:1 with patients receiving stable antipsychotic doses. Of these patients, 211,575 had a ≥ 30% dose reduction (Fig. 1 in Online Resource 1). Distributions of age, sex, index drug (typical vs. atypical antipsychotic), and index year were comparable between patients in the ≥ 10% antipsychotic dose reduction cohort and patients receiving stable doses (Table 1). Across cohorts, the mean age was 56.6 years, the proportion of male patients was 49.8%, and the proportion of patients using atypical antipsychotics was 87.7%. Patients with a ≥ 10% antipsychotic dose reduction had a longer mean duration of schizophrenia (32.7 months vs. 23.5 months) and a shorter mean duration of follow-up time (5.0 months vs. 9.1 months) compared with patients receiving stable doses. Differences in comorbidity profiles indicated that patients with ≥ 10% dose reductions had lower rates of psychiatric comorbidities and substance use disorders than those receiving stable doses, with the exception of TD. At baseline, patients receiving stable doses experienced slightly more chronic pulmonary disease, while patients with ≥ 10% dose reductions experienced slightly more peripheral vascular disease. Baseline characteristics for the matched cohorts with ≥ 30% dose reductions or stable doses (dose reductions < 30%) were generally similar to those seen in the matched cohorts with ≥ 10% dose reductions or stable doses (dose reductions < 10%). The 10 most frequently used antipsychotics were the same between the ≥ 10% and ≥ 30% dose reduction and stable dose cohorts (Table 1 in Online Resource 1). In addition, baseline characteristics in both analyses, stratified by age ≥ 65 years and < 65 years, were generally similar to those of the overall population, with some exceptions (Tables 2 and 3 in Online Resource 1). Dose distributions for the most frequently used antipsychotics stratified by age are shown in Tables 4 and 5 in Online Resource 1.
Table 1.
Baseline characteristics in the ≥ 10% and ≥ 30% antipsychotic dose reduction cohorts in the overall population
| Characteristic | ≥ 10% dose reduction cohorts | ≥ 30% dose reduction cohorts | ||
|---|---|---|---|---|
| Dose reduction [n = 276,030] | Stable dose [n = 276,030] | Dose reduction [n = 211,575] | Stable dose [n = 211,575] | |
| Age, years [mean (SD)]a | 56.6 (15.6) | 56.6 (15.6) | 57.0 (15.7) | 56.9 (15.7) |
| Schizophrenia duration, months [mean (SD)]a | 32.7 (21.3) | 23.5 (21.5) | 32.4 (21.3) | 23.5 (21.6) |
| Sex, male | 137,334 (49.8) | 137,334 (49.8) | 103,817 (49.1) | 103,817 (49.1) |
| Duration of follow-up, months [mean (SD)]a | 5.0 (6.9) | 9.1 (8.7) | 4.5 (6.6) | 9.1 (8.6) |
| Index drug class | ||||
| Typical antipsychotic | 33,942 (12.3) | 33,942 (12.3) | 26,548 (12.5) | 26,548 (12.5) |
| Atypical antipsychotic | 242,088 (87.7) | 242,088 (87.7) | 185,027 (87.5) | 185,027 (87.5) |
| Index year | ||||
| 2011 | 18,132 (6.6) | 18,132 (6.6) | 13,603 (6.4) | 13,603 (6.4) |
| 2012 | 42,148 (15.3) | 42,148 (15.3) | 32,129 (15.2) | 32,129 (15.2) |
| 2013 | 42,737 (15.5) | 42,737 (15.5) | 32,858 (15.5) | 32,858 (15.5) |
| 2014 | 42,806 (15.5) | 42,806 (15.5) | 32,926 (15.6) | 32,926 (15.6) |
| 2015 | 42,145 (15.3) | 42,145 (15.3) | 32,282 (15.3) | 32,282 (15.3) |
| 2016 | 43,210 (15.7) | 43,210 (15.7) | 33,174 (15.7) | 33,174 (15.7) |
| 2017 | 44,852 (16.2) | 44,852 (16.2) | 34,603 (16.4) | 34,603 (16.4) |
| Comorbidity profile | ||||
| Substance-related and addictive disordersa | 72,508 (26.3) | 84,623 (30.7) | 56,789 (26.8) | 64,341 (30.4) |
| Anxiety disordersa | 75,593 (27.4) | 86,252 (31.2) | 60,034 (28.4) | 66,460 (31.4) |
| Bipolar disordersa | 84,331 (30.6) | 90,413 (32.8) | 66,073 (31.2) | 68,996 (32.6) |
| Depressive disordersa | 98,003 (35.5) | 111,274 (40.3) | 77,950 (36.8) | 85,710 (40.5) |
| Personality disordersa | 13,426 (4.9) | 14,441 (5.2) | 10,410 (4.9) | 11,046 (5.2) |
| Schizophrenia-spectrum disorders (excluding schizophrenia)a | 50,792 (18.4) | 60,633 (22.0) | 40,311 (19.1) | 46,762 (22.1) |
| Sleep–wake disordersa | 43,368 (15.7) | 48,852 (17.7) | 34,212 (16.2) | 37,552 (17.7) |
| TDa | 2778 (1.0) | 2488 (0.9) | 2094 (1.0) | 1929 (0.9) |
| Trauma- and stressor-related disordersa | 20,009 (7.2) | 23,280 (8.4) | 15,930 (7.5) | 17,862 (8.4) |
| CCI score [mean (SD)] | 1.3 (1.8) | 1.4 (1.9) | 1.4 (1.9) | 1.4 (1.9) |
| AIDS/HIVa | 2812 (1.0) | 3638 (1.3) | 2255 (1.1) | 2760 (1.3) |
| Cancera | 11,017 (4.0) | 12,206 (4.4) | 8601 (4.1) | 9552 (4.5) |
| Cerebrovascular diseasea | 28,628 (10.4) | 30,384 (11.0) | 23,156 (10.9) | 23,711 (11.2) |
| Congestive heart failurea | 29,494 (10.7) | 32,278 (11.7) | 23,924 (11.3) | 25,160 (11.9) |
| Chronic pulmonary diseasea | 76,219 (27.6) | 80,209 (29.1) | 59,860 (28.3) | 61,771 (29.2) |
| Dementiaa | 39,795 (14.4) | 37,633 (13.6) | 32,150 (15.2) | 29,926 (14.1) |
| Diabetes with chronic complicationsa | 30,132 (10.9) | 29,615 (10.7) | 23,690 (11.2) | 22,794 (10.8) |
| Diabetes without chronic complicationsa | 63,767 (23.1) | 61,593 (22.3) | 49,081 (23.2) | 47,381 (22.4) |
| Hemiplegia or paraplegia | 6626 (2.4) | 6705 (2.4) | 5286 (2.5) | 5126 (2.4) |
| Mild liver diseasea | 14,329 (5.2) | 15,950 (5.8) | 11,309 (5.3) | 12,093 (5.7) |
| Metastatic solid tumora | 1851 (0.7) | 2723 (1.0) | 1480 (0.7) | 2081 (1.0) |
| Myocardial infarctiona | 7371 (2.7) | 9810 (3.6) | 6030 (2.9) | 7584 (3.6) |
| Moderate or severe liver diseasea | 1808 (0.7) | 2081 (0.8) | 1490 (0.7) | 1611 (0.8) |
| Peptic ulcer diseasea | 3706 (1.3) | 4327 (1.6) | 2984 (1.4) | 3321 (1.6) |
| Peripheral vascular diseasea | 46,715 (16.9) | 41,277 (15.0) | 36,961 (17.5) | 32,174 (15.2) |
| Renal diseasea | 26,030 (9.4) | 27,345 (9.9) | 20,718 (9.8) | 21,285 (10.1) |
| Rheumatic diseasea | 5786 (2.1) | 7012 (2.5) | 4611 (2.2) | 5427 (2.6) |
| Additional psychiatric medications | ||||
| ADHD medicationa | 7476 (2.7) | 8349 (3.0) | 5836 (2.8) | 6304 (3.0) |
| Anticholinergica | 62,729 (22.7) | 54,139 (19.6) | 47,200 (22.3) | 41,198 (19.5) |
| Antidepressanta | 171,161 (62.0) | 175,336 (63.5) | 132,777 (62.8) | 134,610 (63.6) |
| Anxiety medicationa | 73,571 (26.7) | 80,173 (29.0) | 57,518 (27.2) | 61,747 (29.2) |
| Mood stabilizera | 121,424 (44.0) | 113,000 (40.9) | 93,582 (44.2) | 86,429 (40.9) |
| Sedativea | 27,856 (10.1) | 33,144 (12.0) | 22,219 (10.5) | 25,471 (12.0) |
Data are expressed as n (%) unless otherwise specified
ADHD attention-deficit hyperactivity disorder, AIDS acquired immunodeficiency syndrome, CCI Charlson Comorbidity Index, HIV human immunodeficiency virus, SD standard deviation, TD tardive dyskinesia
ap < 0.05 for dose reductions versus stable doses in both dose reduction cohorts
Outcomes
Patients in the ≥ 10% dose reduction cohort had a shorter time to all-cause ER visits, all-cause inpatient visits, schizophrenia relapse, and other psychiatric relapse (excluding schizophrenia) compared with those receiving stable doses (Figs. 1, 2, 3, 4, respectively). Median time to the all-cause ER visit was 11.2 months for both the ≥ 10% dose reduction and stable dose cohorts. Median time to the all-cause inpatient visit, schizophrenia relapse, other psychiatric relapse, and TD diagnosis was not reached for both cohorts. After adjusting for differences in unmatched baseline characteristics, patients with a ≥ 10% dose reduction showed a significantly increased risk for the all-cause ER visit [hazard ratio (HR) 1.08, 95% confidence interval (CI) 1.07–1.09; p < 0.001], all-cause inpatient visit (HR 1.22, 95% CI 1.21–1.23; p < 0.001), schizophrenia relapse (HR 1.24, 95% CI 1.22–1.26; p < 0.001), other psychiatric relapse (HR 1.13, 95% CI 1.12–1.15; p < 0.001), and TD diagnosis (HR 1.43, 95% CI 1.32–1.54; p < 0.001) (Table 2). This was associated with an 8–22% increase in the risk of experiencing an all-cause HRU outcome (ER or inpatient visit) and a 13–43% increase in the risk of experiencing a mental health-related clinical outcome (schizophrenia relapse, other psychiatric relapse, or TD diagnosis).
Fig. 1.
Time to the all-cause emergency room (ER) visit in the a ≥ 10% and b ≥ 30% dose reduction cohorts in the overall population. These are Kaplan–Meier graphs describing the time to the all-cause ER visit in the ≥ 10% and ≥ 30% dose reduction and stable dose cohorts in the overall population. The x-axis represents time in months at an interval of 4 months, and the y-axis represents the proportion of patients free of event. The median time to the all-cause ER visit was 11.2 months for both the ≥ 10% dose reduction and stable dose cohorts, with a p value of < 0.001. The median time to the all-cause ER visit was 10.2 months for the ≥ 30% dose reduction cohort and 11.1 months for the stable dose cohort, with a p value of < 0.001
Fig. 2.
Time to the all-cause inpatient visit in the a ≥ 10% and b ≥ 30% dose reduction cohorts in the overall population. These are Kaplan–Meier graphs describing the time to all-cause inpatient visit in the ≥ 10% and ≥ 30% dose reduction and stable dose cohorts in the overall population. The x-axis represents time in months at an interval of 4 months, and the y-axis represents the proportion of patients free of event. The median time to the all-cause inpatient visit was not reached (NR) for the ≥ 10% and ≥ 30% dose reduction and stable dose cohorts, with p values of < 0.001 in both comparisons
Fig. 3.
Time to schizophrenia relapse in the a ≥ 10% and b ≥ 30% dose reduction cohorts in the overall population. These are Kaplan–Meier graphs describing the time to schizophrenia relapse in the ≥ 10% and ≥ 30% dose reduction and stable dose cohorts in the overall population. The x-axis represents time in months at an interval of 4 months, and the y-axis represents the proportion of patients free of event. The median time to schizophrenia relapse was not reached (NR) for the ≥ 10% and ≥ 30% dose reduction and stable dose cohorts, with p values of < 0.001 in both comparisons
Fig. 4.
Time to other psychiatric relapse (excluding schizophrenia)a in the a ≥ 10% and b ≥ 30% dose reduction cohorts in the overall population. aPsychiatric relapse was defined as an inpatient admission or ER visit for psychiatric conditions, excluding schizophrenia and schizoaffective disorder. These are Kaplan–Meier graphs describing the time to other psychiatric relapse, excluding schizophrenia, in the ≥ 10% and ≥ 30% dose reduction and stable dose cohorts in the overall population. The x-axis represents time in months at an interval of 4 months, and the y-axis represents the proportion of patients free of event. The median time to other psychiatric relapse was not reached (NR) for both the ≥ 10% dose reduction and stable dose cohorts, with a p value of < 0.001. The median time to other psychiatric relapse was 23.0 months for the ≥ 30% dose reduction cohort and NR for the stable dose cohort, with a p value of < 0.001
Table 2.
Multivariable Cox regression analyses of the effects of antipsychotic dose reductions in the overall population
| Outcome | ≥ 10% antipsychotic dose reduction | ≥ 30% antipsychotic dose reduction | ||||
|---|---|---|---|---|---|---|
| HR | 95% CI | p value | HR | 95% CI | p value | |
| All-cause ER visit | 1.08 | 1.07–1.09 | < 0.001 | 1.11 | 1.10–1.12 | < 0.001 |
| All-cause inpatient visit | 1.22 | 1.21–1.23 | < 0.001 | 1.26 | 1.24–1.27 | < 0.001 |
| Schizophrenia relapse | 1.24 | 1.22–1.26 | < 0.001 | 1.25 | 1.23–1.27 | < 0.001 |
| Other psychiatric relapse (excluding schizophrenia) | 1.13 | 1.12–1.15 | < 0.001 | 1.17 | 1.16–1.19 | < 0.001 |
| TD diagnosisa | 1.43 | 1.32–1.54 | < 0.001 | 1.39 | 1.26–1.52 | < 0.001 |
Covariates included age; disease duration; CCI; substance-related and addictive, anxiety, bipolar and related, depressive, personality, schizophrenia-spectrum (excluding schizophrenia), sleep–wake, trauma-related, and stressor-related disorders; TD; psychotherapy; antidepressants; anticholinergics; sedatives; mood stabilizers; anxiety medications; and ADHD medications
ADHD attention-deficit hyperactivity disorder, CCI Charlson Comorbidity Index, CI confidence interval, ER emergency room, HR hazard ratio, TD tardive dyskinesia
aPatients with TD during the 6-month period prior to the index date were excluded from the TD analyses. For patients with a dose reduction, the index date was defined as the date of the initial dose reduction. For patients receiving a stable dose, the index date was defined as the date of the first prescription fill after the first stable dose monotherapy period of ≥ 90 days
Patients in the ≥ 30% dose reduction cohort also had a shorter time to all-cause ER visits, all-cause inpatient visits, schizophrenia relapse, and other psychiatric relapse compared with those receiving stable doses (Figs. 1, 2, 3, 4, respectively). Median time to the all-cause ER visit was 10.2 and 11.1 months for the ≥ 30% dose reduction and stable dose cohorts, respectively. Median time to the all-cause inpatient visit, schizophrenia relapse, and TD diagnosis was not reached. Median time to other psychiatric relapse was 23.0 months for the ≥ 30% dose reduction cohort and was not reached for the stable dose cohort. After adjusting for differences in unmatched baseline characteristics, patients with a ≥ 30% dose reduction showed significantly increased risk for the all-cause ER visit (HR 1.11, 95% CI 1.10–1.12; p < 0.001), all-cause inpatient visit (HR 1.26, 95% CI 1.24–1.27; p < 0.001), schizophrenia relapse (HR 1.25, 95% CI 1.23–1.27; p < 0.001), other psychiatric relapse (HR 1.17, 95% CI 1.16–1.19; p < 0.001), and TD diagnosis (HR 1.39, 95% CI 1.26–1.52; p < 0.001) (Table 2). This was associated with an 11–26% increase in the risk of experiencing an all-cause HRU outcome and a 17–39% increase in the risk of experiencing a mental health-related clinical outcome.
Age-stratified results for patients with ≥ 10% and ≥ 30% dose reductions were generally consistent with the overall results, with generally larger HRs among patients aged < 65 years compared with patients aged ≥ 65 years (Tables 6 and 7 in Online Resource 1). Patients aged < 65 years with dose reductions experienced shorter time to the all-cause ER visit, all-cause inpatient visit, schizophrenia relapse, and other psychiatric relapse compared with patients receiving stable doses. Although patients aged ≥ 65 years with dose reductions also experienced a shorter time to schizophrenia relapse, the time to the all-cause ER visit, all-cause inpatient visit, and other psychiatric relapse was slightly longer compared with those receiving stable doses (Figs. 2–5 in Online Resource 1, respectively). These findings were seen across both definitions of dose reduction.
Discussion
Schizophrenia is a chronic and debilitating mental illness that strains health care resources. In particular, inpatient visits account for the largest portion of health care burden, representing approximately 60% of total direct costs [16]. Furthermore, patients with schizophrenia who experience a relapse have two to five times higher annual mental health costs than those who do not experience a relapse [17]. Although antipsychotic dose reduction is recommended for patients with schizophrenia who are experiencing adverse effects (e.g., sedation, neuroleptic malignant syndrome), even modest dose reductions can contribute to greater HRU for patients and can lead to negative clinical outcomes. In this observational study using Medicare claims data, patients with ≥ 10% and ≥ 30% antipsychotic dose reductions demonstrated small but statistically significant increases in both all-cause HRU outcomes (ER and inpatient visits) and mental health-related clinical outcomes (schizophrenia relapse, other psychiatric relapse, and TD diagnosis). The increased risk of TD diagnosis seen in both the ≥ 10% and ≥ 30% dose reduction cohorts may be attributed, in part, to the longer mean duration of schizophrenia observed in the dose reduction cohorts versus stable dose cohorts, which may result in a higher cumulative antipsychotic dose, and to withdrawal dyskinesias following dose reduction.
Findings from the present analysis evaluating Medicare beneficiaries are consistent with those reported in a similar study using Medicaid data [15]. The retrospective cohort study of the Medicaid population revealed patients with schizophrenia who underwent ≥ 10% and ≥ 30% antipsychotic dose reductions experienced significant increases in both all-cause and mental health-related ER visits and inpatient admissions compared with patients who were treated with stable antipsychotic doses [15]. Taken together, results from both studies suggest that antipsychotic dose reductions may destabilize psychiatric status and lead to increased hospitalization rates in patients with schizophrenia.
As patients can be eligible for Medicare due to age (≥ 65 years), disability, or end-stage renal disease, this study also separately evaluated outcomes for patients aged ≥ 65 years and < 65 years to assess whether eligibility reason confounded results. Results among patients aged < 65 years were largely similar to those of the overall Medicare population, whereas results were mixed among patients aged ≥ 65 years. Patients aged < 65 years may be eligible for Medicare due to disability caused by more severe schizophrenia and may therefore be more susceptible to relapse or hospitalization as a result of antipsychotic dose reduction. Patients aged ≥ 65 years, likely eligible for Medicare due to age, may have a less severe form of the illness.
The strengths of the current study include use of a large claims database to identify Medicare patients with schizophrenia and associated comorbidities in the real world. Additionally, 1:1 matching and multivariable adjustment mitigated potential concerns of residual confounding caused by differences in baseline patient characteristics. Furthermore, this study allowed for the comparison of all-cause HRU and mental health-related clinical outcomes based on antipsychotic doses.
There are several limitations to this study. First, the observational study design may have resulted in unobserved differences between cohorts. Second, certain comorbidities may have been underestimated due to the use of administrative diagnosis codes. Third, reasons for antipsychotic dose reduction cannot be gleaned from the database, and it is unknown whether doses were reduced due to clinical improvement of schizophrenia or worsening of adverse events. Fourth, the time from first diagnosis of schizophrenia to the index date was used as a proxy for duration of schizophrenia. However, as with all retrospective studies of health care claims data, the first observed diagnosis may not have been the patient’s first-ever diagnosis for schizophrenia (as the data are left censored). Lastly, results from this analysis may not be generalizable to other patient populations, as the study population was limited to US patients covered by Medicare.
Conclusion
This study demonstrated a statistically significant increase in the risk of having an all-cause HRU outcome (ER or inpatient visit) and mental health-related clinical outcome (schizophrenia relapse, other psychiatric relapse, or TD diagnosis) with antipsychotic dose reductions of ≥ 10% and ≥ 30% from baseline. A ≥ 10% antipsychotic dose reduction was associated with an 8–22% increase in the risk of having an all-cause HRU outcome and a 13–43% increase in the risk of having a mental health-related clinical outcome. A ≥ 30% antipsychotic dose reduction was associated with an 11–26% increase in the risk of having an all-cause HRU outcome and a 17–39% increase in the risk of having a mental health-related clinical outcome. The clinical meaningfulness of these differences should be considered by health care decision makers, as even seemingly small differences in event rates can have a profound impact on the health and economic burden for both patients and health systems. Nevertheless, decisions for antipsychotic dose reductions should be individualized, with consideration of the potential risks, and remain at the clinician’s discretion. Additional research is needed to further understand the value of alternative strategies to antipsychotic dose reduction to address potential adverse effects that may disrupt necessary maintenance treatment in patients with severe psychiatric disease.
Supplementary Information
Below is the link to the electronic supplementary material.
Acknowledgements
This study was funded by Teva Pharmaceutical Industries Ltd, Petach Tikva, Israel. The authors thank Melanie Chen, PharmD (Cello Health Communications/MedErgy, with funding from Teva Pharmaceutical Industries Inc.), for editorial assistance in the preparation of this report.
Declarations
Funding
This study was funded by Teva Pharmaceutical Industries Ltd, Petach Tikva, Israel.
Conflict of interest
Miriam L. Zichlin, Fau Mu, and Rajeev Ayyagari are employees of Analysis Group, Inc. Sam Leo is an employee of Teva Pharmaceuticals.
Ethics approval
This study received an exemption from the New England Institutional Review Board.
Consent to participate
Not applicable.
Consent for publication
Not applicable.
Availability of data and material
These data are not publicly available.
Code availability
Not applicable.
Author contributions
Miriam L. Zichlin, Fan Mu, and Rajeev Ayyagari contributed to the conception and design of the study, analysis and interpretation of the data, and drafting of the manuscript. Sam Leo contributed to the conception and design of the study, interpretation of the data, and drafting of the manuscript. All authors met 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.
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