Comparison and predictors of treatment adherence and remission among patients with schizophrenia treated with paliperidone palmitate or atypical oral antipsychotics in community behavioral health organizations

Racial disparities in utilization of first-generation versus second-generation long-acting injectable antipsychotics in Medicaid beneficiaries with schizophrenia

BACKGROUND

Multiple studies report racial disparities in antipsychotic prescription patterns. This study assessed demographic and clinical factors associated with the utilization of first-generation (FG) versus second-generation (SG) long-acting injectable (LAI) antipsychotics.

METHODS

This retrospective, observational cohort analysis used claims data from the IBM MarketScan® Multi-State Medicaid database. The study included adults with an LAI claim between 01-January-2009 and 31-December-2018, an ICD-9-CM or ICD-10-CM diagnosis of schizophrenia, race recorded as Black or White, and ≥12 months of continuous enrollment before the index LAI. Descriptive analysis detailed the relationship between race and FG or SG LAI initiation. Multivariate logistic regression was used to assess potential associations with FG vs. SG LAI initiation, including clinical and demographic factors, comorbidities, and index year.

RESULTS

A total of 10,773 patients were included: 6659 (62 %) Black and 4114 (38 %) White. Black patients had a higher utilization of FG LAIs than White patients (46.8 % vs. 38.9 %) over the 10 years analyzed. Black patients were more likely to utilize FG LAIs than White patients (odds ratio: 1.47; 95 % CI: 1.34, 1.62) after controlling for index year and covariates (race, age, gender, insurance plan type, Quan-Charlson Comorbidity index score, comorbidities, prior medications). Significant predictors of FG LAI utilization were older age, type of baseline oral antipsychotic (FG vs SG), type of coverage (managed care vs fee for service), and greater comorbidity burden.

CONCLUSION

The utilization of FG LAIs was greater in Black compared to White Medicaid beneficiaries with schizophrenia over a 10-year period. These findings suggest that racial disparities exist in LAI initiation, with implications for differential quality of schizophrenia treatment.

Long-Term Efficacy and Safety of Paliperidone 6-Month Formulation: An Open-Label 2-Year Extension of a 1-Year Double-Blind Study in Adult Participants With Schizophrenia

BACKGROUND

Paliperidone palmitate 6-month (PP6M) demonstrated noninferiority to paliperidone palmitate 3-month in preventing relapse in patients with schizophrenia in a phase 3 double-blind (DB) study (NCT03345342). Here, we report long-term efficacy and safety results from a 2-year single-arm, open-label extension (OLE; NCT04072575) of this DB study.

METHODS

Participants who completed the DB study without relapse were enrolled and followed-up every 3 months up to 2 years. Participants received 4 PP6M gluteal injections (700/1000 mg eq.) at baseline, 6-month, 12-month, and 18-month visits. Efficacy endpoints included assessment of relapse, Positive and Negative Syndrome Scale total score, Personal and Social Performance score, and Clinical Global Impression-Severity scale change from baseline. Safety was assessed by treatment-emergent adverse events (TEAEs), physical examinations, and laboratory tests.

RESULTS

Of 178 participants enrolled, 154 (86.5%) completed the OLE (mean age: 40.4 years, men: 70.8%; mean duration of PP6M exposure during OLE: 682.1 days). Overall, 7/178 (3.9%) participants relapsed between 20 and 703 days after enrolment. Mean (SD) changes from baseline to endpoint were as follows: Positive and Negative Syndrome Scale total score, 0.7 (8.22); Clinical Global Impression-Severity, 0.0 (0.51); and Personal and Social Performance Scale, 0.5 (7.47). Overall, 111/178 participants (62.4%) reported ≥1 TEAE; most common (>5%) TEAEs were headache (13.5%) and increased blood prolactin/hyperprolactinemia (18.0%); 8/178 (4.5%) participants experienced serious TEAEs, and 6/178 (3.4%) participants withdrew due to TEAEs. No deaths were reported.

CONCLUSIONS

The relapse rate observed with PP6M during the 2-year OLE was low (3.9%). Clinical and functional improvements demonstrated in the DB study were maintained during OLE, and no new safety concerns were identified.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT04072575; EudraCT number: 2018-004532-30.

Influencing factors of medication adherence in schizophrenic patients: a meta-analysis

Medication adherence of schizophrenic patients is a growing public health problem. We conducted a meta-analysis on the influencing factors of medication compliance in schizophrenic patients. We searched PubMed, Embase, Cochrane Library, and Web Of Science for relevant articles published up to December 22, 2022. Combined odds ratios (ORs) and 95% confidence intervals (CIs) were used to assess influencing factors. Egger's test, funnel plot, the trim and fill method, and meta-regression analysis were used to assess publication bias. A total of 20 articles were included in the analysis. Twenty influencing factors were divided into seven categories: drug factors (OR = 1.96, 95% CI: 1.48-2.59), problem behavior (OR = 1.77, 95% CI: 1.43-2.19), income and quality of life (OR = 1.23, 95% CI: 1.08-1.39), personal characteristics (OR = 1.21, 95% CI: 1.14-1.30), disease factors (OR = 1.14, 95% CI: 1.98-1.21), support level (OR = 0.54, 95% CI: 0.42-0.70), and positive attitude and behavior (OR = 0.52, 95% CI: 0.45-0.62). This meta-analysis found that drug factors, disease factors, problem behavior, low income and quality of life, and factors related to personal characteristics appear to be risk factors for medication adherence in people with schizophrenia. And support level, positive attitude and behavior appear to be protective factors.

Machine learning methods to predict outcomes of pharmacological treatment in psychosis

In recent years, machine learning (ML) has been a promising approach in the research of treatment outcome prediction in psychosis. In this study, we reviewed ML studies using different neuroimaging, neurophysiological, genetic, and clinical features to predict antipsychotic treatment outcomes in patients at different stages of schizophrenia. Literature available on PubMed until March 2022 was reviewed. Overall, 28 studies were included, among them 23 using a single-modality approach and 5 combining data from multiple modalities. The majority of included studies considered structural and functional neuroimaging biomarkers as predictive features used in ML models. Specifically, functional magnetic resonance imaging (fMRI) features contributed to antipsychotic treatment response prediction of psychosis with good accuracies. Additionally, several studies found that ML models based on clinical features might present adequate predictive ability. Importantly, by examining the additive effects of combining features, the predictive value might be improved by applying multimodal ML approaches. However, most of the included studies presented several limitations, such as small sample sizes and a lack of replication tests. Moreover, considerable clinical and analytical heterogeneity among included studies posed a challenge in synthesizing findings and generating robust overall conclusions. Despite the complexity and heterogeneity of methodology, prognostic features, clinical presentation, and treatment approaches, studies included in this review suggest that ML tools may have the potential to predict treatment outcomes of psychosis accurately. Future studies need to focus on refining feature characterization, validating prediction models, and evaluate their translation in real-world clinical practice.

Methodological and Quality Flaws in the Use of Artificial Intelligence in Mental Health Research: Systematic Review

BACKGROUND

Artificial intelligence (AI) is giving rise to a revolution in medicine and health care. Mental health conditions are highly prevalent in many countries, and the COVID-19 pandemic has increased the risk of further erosion of the mental well-being in the population. Therefore, it is relevant to assess the current status of the application of AI toward mental health research to inform about trends, gaps, opportunities, and challenges.

OBJECTIVE

This study aims to perform a systematic overview of AI applications in mental health in terms of methodologies, data, outcomes, performance, and quality.

METHODS

A systematic search in PubMed, Scopus, IEEE Xplore, and Cochrane databases was conducted to collect records of use cases of AI for mental health disorder studies from January 2016 to November 2021. Records were screened for eligibility if they were a practical implementation of AI in clinical trials involving mental health conditions. Records of AI study cases were evaluated and categorized by the International Classification of Diseases 11th Revision (ICD-11). Data related to trial settings, collection methodology, features, outcomes, and model development and evaluation were extracted following the CHARMS (Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies) guideline. Further, evaluation of risk of bias is provided.

RESULTS

A total of 429 nonduplicated records were retrieved from the databases and 129 were included for a full assessment-18 of which were manually added. The distribution of AI applications in mental health was found unbalanced between ICD-11 mental health categories. Predominant categories were Depressive disorders (n=70) and Schizophrenia or other primary psychotic disorders (n=26). Most interventions were based on randomized controlled trials (n=62), followed by prospective cohorts (n=24) among observational studies. AI was typically applied to evaluate quality of treatments (n=44) or stratify patients into subgroups and clusters (n=31). Models usually applied a combination of questionnaires and scales to assess symptom severity using electronic health records (n=49) as well as medical images (n=33). Quality assessment revealed important flaws in the process of AI application and data preprocessing pipelines. One-third of the studies (n=56) did not report any preprocessing or data preparation. One-fifth of the models were developed by comparing several methods (n=35) without assessing their suitability in advance and a small proportion reported external validation (n=21). Only 1 paper reported a second assessment of a previous AI model. Risk of bias and transparent reporting yielded low scores due to a poor reporting of the strategy for adjusting hyperparameters, coefficients, and the explainability of the models. International collaboration was anecdotal (n=17) and data and developed models mostly remained private (n=126).

CONCLUSIONS

These significant shortcomings, alongside the lack of information to ensure reproducibility and transparency, are indicative of the challenges that AI in mental health needs to face before contributing to a solid base for knowledge generation and for being a support tool in mental health management.

Paliperidone Palmitate: A Breakthrough Treatment for Schizophrenia? A Review on Patient Adherence Levels, Healthcare Resource Utilization and Costs

International guidelines suggest long-term antipsychotic therapies for treating schizophrenia; however, medication compliance remains a critical issue in schizophrenia. Paliperidone palmitate (PP) is a second-generation antipsychotic long-acting injectable (SGA-LAI) approved for the treatment of schizophrenia. To date, the majority of studies on PP compliance patterns did not use specific instruments to assess medications' adherence, have been performed in not naturalistic samples and present partially overlapping populations. We conducted a systematic review in which we aimed to review the current knowledge on PP-LAI adherence levels and to describe healthcare resource utilisation and costs related to PP-LAI treatment. The evaluation has been conducted by searching in different databases (PubMed, Ovid, Scopus, and Cochrane Library) from inception to September 2022. Our findings suggest that paliperidone palmitate should be considered a good treatment strategy for patients affected by schizophrenia: PP showed both a good efficacy and tolerability and better adherence patterns and more favourable healthcare resource utilisation and costs, compared to OA.

Asian Subgroup Analysis of the REMISSIO Study: A Long-Term Efficacy and Safety Study of Paliperidone Palmitate 3-month Formulation in Patients with Stable Schizophrenia in a Naturalistic Clinical Setting

Objective

Methods

Results

Conclusion

Systematic Review of Real-World Treatment Patterns of Oral Antipsychotics and Associated Economic Burden in Patients with Schizophrenia in the United States

Background

Schizophrenia is a chronic mental disorder associated with substantial morbidity and mortality affecting 0.25–1.6% of adults in the USA. Antipsychotic treatment is the standard of care for schizophrenia, but real-world treatment patterns and associated costs have not been systematically reviewed.

Objective

We conducted a systematic review to summarize treatment patterns and associated costs related to oral antipsychotic treatment of patients with schizophrenia in the USA.

Data Sources

We searched Medline (via PubMed) and Embase to identify relevant observational studies published from January 1, 2008, to June 1, 2018; costs were converted to 2018 US dollars.

Study Eligibility

Observational, real-world studies reporting on patterns of treatment and/or associated costs for adult patients with schizophrenia treated with oral antipsychotics in the USA were included.

Results

Eighty-one studies were identified. Frequently prescribed oral second-generation antipsychotics were olanzapine (up to 50.9%), risperidone (up to 40.0%), and quetiapine (up to 30.7%). Suboptimal adherence was common across studies. Antipsychotic switching occurred in about half of patients, while antipsychotic combination therapy occurred in nearly 30%; all were associated with increased medication-related costs. Mean annual direct medical costs differed by treatment, with reported costs of $17,115 to $26,138 for patients treated with olanzapine, $18,395 for risperidone, and $17,656 to $28,101 for quetiapine.

Limitations

This systematic review is limited by the variations in definitions of schizophrenia-related clinical terms used between studies and by the inclusion of studies focused on only the US health care system.

Conclusions

In the treatment of schizophrenia, suboptimal adherence, antipsychotic switching, and antipsychotic augmentation were all associated with high costs of care in comparison to patients who were adherent and did not require antipsychotic switching or augmentation. These findings illustrate the need for the development of new treatments that address efficacy and adherence challenges of currently available therapies.

Supplementary Information

The online version contains supplementary material available at 10.1007/s12325-022-02232-z.

Schizophrenia is a debilitating mental disorder that affects up to 1.6% of adults in the USA. Antipsychotic medications reduce symptoms of the disease, but many patients with schizophrenia are not fully adherent or choose to discontinue treatment entirely, increasing their risk of hospitalization. In others, efforts to achieve better symptom control or to avoid intolerable side effects may result in switching antipsychotic medications or adding additional medications, leading to higher medical treatment costs. The magnitude of these cost increases is unclear. This study sought to assess medical costs associated with antipsychotic treatment adherence, switching, and adding additional antipsychotics. We reviewed 81 studies published from January 2008 through June 2018 examining treatment adherence in patients with schizophrenia. We calculated rates of adherence, switching, and adding antipsychotics, as well as associated medical costs. Overall adherence to antipsychotic treatment was less than 50%, with up to 50% of patients switching medications and up to 29% adding an additional antipsychotic medication to their current treatment. Patients who were not treatment adherent incurred annual medical costs of $10,316 compared with $5723 in patients who were adherent. The costs of immediate or delayed switching of antipsychotic medications ranged from $21,922 to $28,232, while costs of adding an additional antipsychotic ranged from $24,045 to $29,344. These data suggest that suboptimal medication adherence, along with high rates of patient discontinuation and medication switching, lead to higher treatment costs in the management of patients with schizophrenia.

The effect of long-acting injectable antipsychotic medications compared with oral antipsychotic medications among people with schizophrenia: A systematic review and meta-analysis

Long-acting injectable (LAI) antipsychotic medications may be an important modality of reducing costs, improving symptoms, and fostering quality of life outcomes for those with schizophrenia. Our objective was to systematically review and conduct a meta-analysis of the effectiveness of LAIs compared with oral antipsychotics on medication adherence, symptom remission/relapse, rehospitalization, outpatient visits, emergency department visits, healthcare costs, and social functioning. We performed a systematic search of PsycInfo, CINAHL, PubMed, and Scopus databases to examine studies meeting inclusion criteria prior to August 30th, 2020. Randomized controlled trials, retrospective studies, prospective studies among people with schizophrenia with at least 6-month follow-up data were obtained. Overall effect sizes and associated 95% confidence intervals (CI) were estimated with random-effects modeling. We found 75 articles meeting our inclusion criteria, including 341 730 individuals with schizophrenia. Systematic review results indicated that LAIs compared with orals improved medication adherence (25/29 studies), symptom remission/relapse (10/18 studies), rehospitalizations (26/49 studies), emergency department visits (9/17 studies), medical costs (11/15 studies), and social functioning (5/9 studies); however, LAIs also increased outpatient visits (7/16 studies) and pharmacy costs (10/10 studies). Meta-analytic results of studies with similar outcome measures did not find differences between LAIs and orals in respect to outcomes, except lowering emergency department visits and increasing pharmacy costs. The differences between the results of the narrative synthesis and the meta-analyses were possibly because of the low availability of studies with similar outcomes in the pooled analyses. Our overall results suggest that LAIs are at least comparable to orals in supporting important healthcare outcomes for those with schizophrenia. These findings support clinical practice in encouraging providers to prescribe LAIs when indicated.

Long-Term Real-World Effectiveness of Aripiprazole Once-Monthly. Treatment Persistence and Its Correlates in the Italian and Spanish Clinical Practice: A Pooled Analysis

BACKGROUND

One of the most significant risk factors for relapse and hospitalization in schizophrenia is non-adherence to antipsychotic medications, very common in patients with schizophrenia. The aim of this analysis was to evaluate the treatment persistence to aripiprazole once-monthly (AOM) and the factors affecting it in the pooled population of two similar studies performed previously in two different European countries.

METHODS

Pooled analysis of two non-interventional, retrospective, patient record-based studies: DOMINO and PROSIGO. Both analyzed treatment persistence after starting AOM treatment in the real-world setting. The primary variable was persistence with AOM treatment during the first 6 months after treatment initiation. A multivariate Cox regression model was used to evaluate the influence of several baseline characteristics on the persistence.

RESULTS

The study population comprised 352 patients included in the two studies, DOMINO (n = 261) and PROSIGO (n = 91). The overall persistence with AOM treatment at the end of the 6-month observation period was 82.4%. The multivariate analysis showed that patients with "secondary school" level of education present a 67.4% lower risk of discontinuation within 6 months after AOM initiation when compared with "no/compulsory education patients" (p = 0.024). In addition, patients with an occupation present a 62.7% lower risk of discontinuation when compared with unemployed patients (p = 0.023). Regarding clinical history, patients with a Clinical Global Impression-Severity scale (CGI-S) score ≤3 present a 78.1% lower risk of discontinuation when compared with patients with a CGI-S score ≥6 (p = 0.044), while patients with a time since schizophrenia diagnosis ≤8.4 years present a 52.9% lower risk of discontinuation when compared with the rest of patients (p = 0.039).

CONCLUSION

The AOM persistence rate observed in this study was 82.4%, which was higher than that reported in clinical trials, aligned with other real-life studies and higher than reported for other long-acting injectable antipsychotics. The persistence rate was high in complex patients, although patients with higher level of education, active occupation, lower initial CGI-S score and shorter time since the diagnosis of schizophrenia appear to be more likely to remain persistent with AOM during the 6 months after initiation.

Effectiveness and Predictors of Discontinuation of Aripiprazole Long-acting Injection: A 12-Month Naturalistic Cohort Study

PURPOSE/BACKGROUND

This study aimed to explore the discontinuation rate of aripiprazole long-acting injection (LAI) in a naturalistic clinical setting.

METHODS/PROCEDURES

A retrospective cohort study of 1 year duration was conducted on the first 200 patients registered to receive aripiprazole LAI in Sussex, UK. Rate of discontinuation and the association of robustly recorded clinical variables with discontinuation or a new acute care episode were explored.

FINDINGS/RESULTS

Of 200 registered, 173 patients initiated aripiprazole LAI and 40% discontinued this by 1 year. Mean discontinuation time was 18 weeks. The commonest discontinuation reason was "patient choice," independent of efficacy or adverse effects. Not having a diagnosis of schizophrenia spectrum was the only variable significantly associated with treatment continuation after 1 year. No single diagnostic group accounted for this, although a greater continuation rate was observed in those with bipolar disorder. Illness severity factors at baseline, including apparent treatment resistance, had no impact on later aripiprazole LAI discontinuation or on acute service use over the year. Medication-related variables had no identified impact on acute service use.

IMPLICATIONS/CONCLUSIONS

This study supports the clinical utility of aripiprazole LAI for its licensed indications. The 1-year discontinuation rate is equivalent to that in reports of similarly designed studies of paliperidone LAI. Further exploration of nonmedication factors influencing LAI discontinuation is required. Preferential use of aripiprazole LAI over other medications may be supported due to fewer associated metabolic adverse effects.

Predictors of persistence in patients with schizophrenia treated with aripiprazole once-monthly long-acting injection in the Spanish clinical practice: a retrospective, observational study

Background

Poor adherence to antipsychotic drugs is a major problem in schizophrenia management and one of the most important risk factors for relapse and hospitalization. To date, there is little evidence on persistence predictors with long-acting injectable antipsychotics, especially with aripiprazole once-monthly (AOM). This study (NCT03130478) aimed to describe the impact of demographic and clinical characteristics on persistence with AOM treatment in real-world setting.

Methods

This was an observational, retrospective, non-interventional study that included adult patients with schizophrenia who were initiated on AOM during a schizophrenia-related hospitalization. Data were retrospectively collected from patients’ medical records. The primary variable was persistence with AOM, measured as the number of days from AOM initiation up to all-cause AOM discontinuation during the first six months after treatment index.

Results

140 patients were enrolled and 91 fulfilled the selection criteria. Six months after AOM initiation, 65 (71.4%) patients were still receiving AOM treatment, whereas 26 (28.6%) were not. The mean (standard deviation) time to AOM treatment discontinuation in the first six months was 138.1 (6.8) days, with most of the patients discontinuing at the first 28 days. The risk of AOM discontinuation in the first six months increases 1.05-fold annually since schizophrenia diagnosis (p=0.003); moreover, this risk increases 2.86-fold in patients with concomitant schizophrenia medication at AOM initiation compared to patients without concomitant schizophrenia treatments (p=0.02).

Conclusions

Main factors predicting persistence with AOM treatment at six months in clinical practice are fewer years since schizophrenia diagnosis and not receiving concomitant schizophrenia treatments at AOM initiation.

Real-World Evidence of the Clinical and Economic Impact of Long-Acting Injectable Versus Oral Antipsychotics Among Patients with Schizophrenia in the United States: A Systematic Review and Meta-Analysis

BACKGROUND

Long-acting injectable (LAI) antipsychotics, compared with oral antipsychotics (OA), have been found to significantly improve patient outcomes, including reduced hospitalizations and emergency room (ER) admissions and increased medication adherence among adult patients with schizophrenia. In turn, the clinical benefits achieved may translate into lower economic burden. Real-world evidence of the comparative effectiveness of LAI is needed to understand the potential benefits of LAI outside of the context of clinical trials. This study aimed to provide a comprehensive synthesis of recent published real-world studies comparing healthcare utilization, costs, and adherence between patients with schizophrenia treated with LAI versus OA in the United States.

METHODS

In this systematic literature review, MEDLINE^® was searched for peer-reviewed, real-world studies (i.e., retrospective or pragmatic designs) published in English between January 1, 2010 and February 10, 2020. Comparative studies reporting hospitalizations, ER admissions, healthcare costs, or medication adherence (measured by proportion of days covered [PDC]) in adults with schizophrenia treated with LAI versus OA (or pre- vs post-LAI initiation) in the United States were retained. Random effects meta-analyses were conducted among eligible studies to evaluate the association of LAI versus OA use on hospitalizations, ER admissions, healthcare costs, and treatment adherence. A sensitivity analysis among the subset of studies that compared OA with paliperidone palmitate once monthly (PP1M), specifically, was conducted.

RESULTS

A total of 1083 articles were identified by the electronic literature search, and two publications were manually added subsequently. Among the 57 publications meeting the inclusion criteria, 25 provided sufficient information for inclusion in the meta-analyses. Compared with patients treated with OA, patients initiated on LAI had lower odds of hospitalization (odds ratio [OR] 0.62, 95% confidence interval [CI] 0.54-0.71, n = 7), fewer hospitalizations (incidence rate ratio [IRR] [95% CI] 0.75 [0.65-0.88], n = 9), and fewer ER admissions (IRR [95% CI] 0.86 [0.77-0.97], n = 6). The initiation of LAI was associated with higher per-patient-per-year (PPPY) pharmacy costs (mean difference [MD] [95% CI] $5603 [3799-7407], n = 6), which was offset by lower PPPY medical costs (MD [95% CI] - $5404 [- 7745 to - 3064], n = 6), resulting in no significant net difference in PPPY total all-cause healthcare costs between patients treated with LAI and those treated with OA (MD [95% CI] $327 [- 1565 to 2219], n = 7). Patients initiated on LAI also had higher odds of being adherent to their medication (PDC ≥ 80%; OR [95% CI] 1.89 [1.52-2.35], n = 9). A sensitivity analysis on a subset of publications evaluating PP1M found results similar to those of the main analysis conducted at the LAI class level.

CONCLUSIONS

Based on multiple studies with varying sub-types of patient populations with schizophrenia in the United States published in the last decade, this meta-analysis demonstrated that LAI antipsychotics were associated with improved medication adherence and significant clinical benefit such as reduced hospitalizations and ER admissions compared with OA. The lower medical costs offset the higher pharmacy costs, resulting in a non-significant difference in total healthcare costs. Taken together, these findings provide strong evidence on the clinical and economic benefits of LAI compared with OA for the treatment of schizophrenia in the real world.

Healthcare Resource Utilization and Costs Among Patients With Schizophrenia Switching From Oral Risperidone/Paliperidone to Once-Monthly Paliperidone Palmitate: A Veterans Health Administration Claims Analysis

Background

Schizophrenia is associated with high health care resource utilization and treatment costs.

Objective

This study compared treatment patterns, health care resource utilization, and medical costs before and after a switch from oral antipsychotic drug (risperidone or paliperidone [RIS/PALI]) therapy to the long-acting injectable once-monthly paliperidone palmitate (PP1M) in patients with schizophrenia.

Methods

Data for adult patients (aged ≥18 years) with at least 1 diagnosis of schizophrenia who initiated treatment with oral RIS/PALI ≥6 months before switching and had continuous health plan enrollment during the study period before and after the switch were extracted from the Veterans Health Administration database. Treatment patterns, health care resource utilization, and costs were compared between the period 6 or 12 months before and after switching directly from oral RIS/PALI to PP1M.

Results

The analysis included 676 and 493 patients in the 6-month and 12-month cohorts, respectively. Adherence to oral RIS/PALI during the 12 months preswitch was 11.0% and 22.1% as measured by proportion of days covered and medication possession ratio ≥80%, respectively. During the 12 months postswitch, adherence to PP1M was 27.0% and 35.9%, respectively. Among patients treated with oral RIS/PALI, from 12 months pre- to 12 months post-PP1M switch, fewer all-cause inpatient stays (2.2 vs 1.1, respectively; P < 0.05) and a shorter mean length of inpatient stay (28.1 and 14.0 days, respectively; P < 0.05) were observed. This pattern was similar for both the number of mental health– and schizophrenia-related inpatient stays and length of stay. Compared with 12 months pre-PP1M switch, significantly higher mean numbers of all-cause outpatient visits and pharmacy visits were observed at 12 months postswitch. In line with health care resource utilization findings, at 12 months pre- versus 12 months post-PP1M switch we observed decreases in all-cause inpatient stay costs ($41,886 vs $20,489; P < 0.05) and increases in outpatient visit costs ($22,005 vs $29,069; P < 0.05). Findings for the 6-month cohort followed a similar pattern.

Conclusions

Post-PP1M switch, a decrease in total medical costs fully offset an increase in pharmacy costs, resulting in similar total costs. The findings suggest potential economic benefits of switching patients with schizophrenia from oral RIS/PALI to PP1M in the Veterans Health Administration.

Artificial Intelligence in Pharmacoepidemiology: A Systematic Review. Part 1-Overview of Knowledge Discovery Techniques in Artificial Intelligence

Aim

To perform a systematic review on the application of artificial intelligence (AI) based knowledge discovery techniques in pharmacoepidemiology.

Study Eligibility Criteria

Clinical trials, meta-analyses, narrative/systematic review, and observational studies using (or mentioning articles using) artificial intelligence techniques were eligible. Articles without a full text available in the English language were excluded.

Data Sources

Articles recorded from 1950/01/01 to 2019/05/06 in Ovid MEDLINE were screened.

Participants

Studies including humans (real or simulated) exposed to a drug.

Results

In total, 72 original articles and 5 reviews were identified via Ovid MEDLINE. Twenty different knowledge discovery methods were identified, mainly from the area of machine learning (66/72; 91.7%). Classification/regression (44/72; 61.1%), classification/regression + model optimization (13/72; 18.0%), and classification/regression + features selection (12/72; 16.7%) were the three most frequent tasks in reviewed literature that machine learning methods has been applied to solve. The top three used techniques were artificial neural networks, random forest, and support vector machines models.

Conclusions

The use of knowledge discovery techniques of artificial intelligence techniques has increased exponentially over the years covering numerous sub-topics of pharmacoepidemiology.

Systematic Review Registration

Systematic review registration number in PROSPERO: CRD42019136552.

Effects of chronic physical illness on treatment outcomes among patients with schizophrenia

PURPOSE OF REVIEW

Previous research has demonstrated the high prevalence of medical comorbidity and multimorbidity among patients with schizophrenia. However, little is known regarding the potential effects of chronic physical illness (CPI) on schizophrenia treatment outcomes. In the present report, we aim to provide an updated review of the relevant literature.

RECENT FINDINGS

We searched MEDLINE for studies published between 2017 and 2018. After screening 683 articles, we included six studies of adequate quality. Five of these studies reported significant associations between several CPIs and different schizophrenia treatment outcomes, whereas the remaining study did not. Significant effects were low to moderate in size. CPIs with significant effects on treatment outcomes included metabolic syndrome, cardiovascular disease, and asthma. No significant effects were observed for diabetes, chronic obstructive pulmonary disease, hepatitis, hypertension, hyperlipidemia, or lung conditions. One study reported a significant association between the total number of CPIs and the overall number of psychiatric rehospitalizations.

SUMMARY

In addition to increasing the risk of premature mortality, accumulating evidence indicates that various CPIs affect schizophrenia treatment outcomes. Thus, researchers and healthcare practitioners should increase efforts to raise awareness regarding the importance of physical health among patients with schizophrenia. Further high-quality studies are required, particularly those targeting the potential effects of individual CPIs.

Machine learning in mental health: a scoping review of methods and applications

BACKGROUND

This paper aims to synthesise the literature on machine learning (ML) and big data applications for mental health, highlighting current research and applications in practice.

METHODS

We employed a scoping review methodology to rapidly map the field of ML in mental health. Eight health and information technology research databases were searched for papers covering this domain. Articles were assessed by two reviewers, and data were extracted on the article's mental health application, ML technique, data type, and study results. Articles were then synthesised via narrative review.

RESULTS

Three hundred papers focusing on the application of ML to mental health were identified. Four main application domains emerged in the literature, including: (i) detection and diagnosis; (ii) prognosis, treatment and support; (iii) public health, and; (iv) research and clinical administration. The most common mental health conditions addressed included depression, schizophrenia, and Alzheimer's disease. ML techniques used included support vector machines, decision trees, neural networks, latent Dirichlet allocation, and clustering.

CONCLUSIONS

Overall, the application of ML to mental health has demonstrated a range of benefits across the areas of diagnosis, treatment and support, research, and clinical administration. With the majority of studies identified focusing on the detection and diagnosis of mental health conditions, it is evident that there is significant room for the application of ML to other areas of psychology and mental health. The challenges of using ML techniques are discussed, as well as opportunities to improve and advance the field.

Comparative effectiveness of second generation long-acting injectable antipsychotics based on nationwide database research in Hungary

Background

Schizophrenia is a severe condition that affects approximately 1% of the population. Certain elements of antipsychotic treatment can only be examined in large population, thus the need for population-based real-world analyses has been increasing.

Patients and methods

Hungarian National Health Fund database includes all healthcare data of the population of Hungary. All patients diagnosed with schizophrenia between 01.01.2006 and 31.12.2015 were included in the study. We analyzed all patients with newly initiated second-generation antipsychotic during the inclusion period (01.01.2012–31.12.2013). Patients were followed for 2 years. All-cause treatment discontinuation served as the primary outcome of the study. Patients with newly initiated long-acting injectable treatments were further investigated in stratified analyses based on their previous treatment.

Results

106,624 patients had schizophrenia diagnosis during the study period. 12,232 patients met the inclusion criteria for newly initiating second-generation antipsychotic during the inclusion period. The proportion of patients still on treatment after 1 year for oral treatments varied between 17% (oral risperidone) and 31% (oral olanzapine) while the analogous data for long acting injectables were between 32% (risperidone long acting) and 64% (paliperidone long acting one monthly). The 2-year data were similarly in favor of long-actings. Median time to discontinuation in the oral group varied between 57 days (clozapine) and 121 days (olanzapine). The median time to discontinuation for long-actings was significantly longer: between 176 and 287 days; in case of paliperidone long acting, median was not reached during the observation period. Patients receiving long-acting treatment switched from another long-acting remained on the newly initiated treatment significantly longer than those switched from orals.

Conclusion

Our results indicate the superiority of second generation long-acting antipsychotics with regard to rates of treatment discontinuation and periods of persistence to the assigned medication.

Clinical relevance of paliperidone palmitate 3-monthly in treating schizophrenia

Antipsychotics are the mainstay in schizophrenia management, and long-acting injectable (LAI) antipsychotics contribute to the successful maintenance of treatment by improving non-adherence and preventing relapses. Paliperidone palmitate 3-monthly (PP3M) formulation is the only available LAI antipsychotic that offers an extended 3-month window of stable plasma drug concentration, enabling only four injections per year. This paper summarizes clinically relevant endpoints from available evidence for PP3M to bridge translational research gaps and provide measurable outcomes that can be interpreted in clinical practice. Low number-needed-to-treat (NNT) for relapse prevention (NNT [95% CI] 6-month estimate: 4.8 [3.2; 10.0]; 12-month estimate: 3.4 [2.2; 7.0]), and high number-needed-to-harm (NNH [95% CI] akathisia, 27.1 [12.3; -667.1]; tremor, 80.0 [22.5; 67.3]; dyskinesia, -132.6 [44.5; -23.2]; parkinsonism, 160.0 [28.9; -49.8]) quantify the relative benefits and low propensity for adverse events with PP3M. Symptom remission and reductions in positive and negative symptoms indicate treatment stability. Additionally, meaningful functional remission, reduced dosing frequency, and freedom from daily negotiations favorably impact patient preference and attenuate burdensome aspects of caregiving, representing important healthcare determinants that enhance prospects of treatment continuity in schizophrenia. This information can potentially improve clinicians' judgment of treatment choices, clinical response, and patient selection in routine care. Taken together, PP3M is a valuable antipsychotic treatment option, meriting consideration for a broader role in the long-term management of schizophrenia; its utility should not be limited to patients with poor adherence or when oral antipsychotics have failed.

Discontinuation rates during long-term, second-generation antipsychotic long-acting injection treatment: A systematic review

AIM

The aim of this review was to analyze the discontinuation rates during long-term treatment with second-generation antipsychotic long-acting injection (SGA-LAI) in adults with either schizophrenia spectrum or bipolar disorders.

METHODS

A systematic search (PubMed, Scopus, and the Cochrane Library) of studies published in English (1 January 2001-12 October 2018) identified 1214 abstracts, which were analyzed independently by the author and two colleagues. Studies were retrieved and reviewed if they reported primary data on the discontinuation rate before the study end during treatment lasting ≥36 weeks. Data were extracted from 51 articles meeting the inclusion criteria.

RESULTS

In all head-to-head comparisons, and studies on patients with schizophrenia spectrum or bipolar disorders, the discontinuation rate before the study end in patients treated with SGA-LAI was, at best, similar to that recorded in patients treated with first-generation antipsychotics in either oral or LAI formulations or with oral SGA. In particular, in most of the SGA-LAI long-term studies, the rate of premature dropout was higher than 50%.

CONCLUSION

Reviewed data suggest that SGA-LAI show no clear superiority over less expensive drugs (including first-generation antipsychotic LAI and oral antipsychotic formulations) in reducing the risk of premature antipsychotic discontinuation. Thus, alternative strategies should be considered to improve medication persistence and lower discontinuation rates in patients with severe psychiatric disorders. Planning tailored, individualized, and integrated approaches (including frequent clinical evaluations, and behavioral or other flexible techniques adaptable to different settings and patients) may be an effective intervention for improving patient adherence in long-term pharmacological treatment regimens.

Comparison of Paliperidone Palmitate and Second-Generation Oral Antipsychotics in Terms of Medication Adherence, Side Effects, and Quality of Life

PURPOSE

Although schizophrenia can be treated effectively, acute aggravations and relapses occur often. Antipsychotic drug therapies are fairly effective for decreasing the rate of relapses in patients with schizophrenia. This study aimed to compare paliperidone palmitate and the second-generation oral antipsychotic drugs used to treat patients with schizophrenia in terms of medication adherence, side effects, and quality of life.

METHODS

The study included 33 patients diagnosed with schizophrenia who were treated with paliperidone palmitate and 51 patients who were treated with second-generation oral antipsychotics. All the patients were administered the Positive and Negative Syndrome Scale, the Clinical Global Impression, the Extrapyramidal Symptom Rating Scale, the UKU (Ugvalg for Kliniske Undersgelser) Side Effect Rating Scale, the Short Form 36, the Morisky Medication Adherence Scale, and the Schedule for Assessing the Three Components of Insight.

RESULTS

The medication adherence and perceived general health scores of the patients treated with paliperidone palmitate were significantly higher than those of the patients treated with second-generation antipsychotics, and the side effects of the medication on the patients' daily performance were significantly lower.

CONCLUSIONS

This study demonstrated that long-acting paliperidone palmitate therapy was associated with more favorable results in terms of medication adherence, drug side effects, and quality of life compared with second-generation oral antipsychotics. However, there is a need for further, more specific, and larger-scale studies in this field.

The prospective economic impact of once monthly paliperidone palmitate versus oral atypical antipsychotics in Medicaid patients with schizophrenia

OBJECTIVES

Multiple real-world studies have reported potential cost savings associated with second-generation antipsychotic long-acting injectable therapies (SGA-LAIs), including once monthly paliperidone palmitate (PP1M). Yet, only about 12% of Medicaid patients with schizophrenia initiate SGA-LAIs, with poor adherence contributing to frequent relapse among patients on oral atypical antipsychotics (OAAs). The objective of this study was to project the economic impact when an incremental proportion of non-adherent patients with a recent relapse switched from OAAs to PP1M.

METHODS

A 12 month decision-tree model was developed from a Medicaid payers' perspective. The target population was non-adherent OAA patients with a recent relapse. At equal adherence, risk of relapse was equal between PP1M and OAAs, and OAA patients remained non-adherent until treatment switch. Outcomes included number of relapses, relapse costs and pharmacy costs.

RESULTS

Based on a hypothetical health plan of 1 million members, 3037 schizophrenia patients were non-adherent on OAAs with a recent relapse. Compared to continuing OAAs, switching 5% of patients (n = 152) to PP1M resulted in net schizophrenia-related cost savings of $674,975 at a plan level, $4445 per patient switched per year and $0.0562 per member per month, with a total of 92 avoided relapses over 12 months. Total annual plan level schizophrenia-related costs were $114.1 M when all patients switched to PP1M before any subsequent relapse (n = 3037), $123.4 M when patients switched to PP1M after a first subsequent relapse (n = 2631), and $127.6 M when all patients continued OAAs. Switching all patients to PP1M before any subsequent relapse averted 917 relapses, at a lower cost per patient switched ($37,559) compared to switching after a first subsequent relapse ($45,089) or continuing OAAs ($42,005).

CONCLUSION

Over 12 months, pharmacy costs associated with switching patients from OAAs to PP1M were offset by reduced relapse rates and schizophrenia-related healthcare expenditures, with earlier use of PP1M projected to generate greater cost savings.

A comparison of treatment patterns, healthcare resource utilization, and costs among young adult Medicaid beneficiaries with schizophrenia treated with paliperidone palmitate or oral atypical antipsychotics in the US

BACKGROUND

Much of the burden associated with schizophrenia is attributed to its early onset and chronic nature. Treatment with once monthly paliperidone palmitate (PP1M) is associated with lower healthcare utilization and better adherence as compared to oral atypical antipsychotics (OAAs). This study aimed to evaluate real-world effectiveness of PP1M and OAA therapies among US-based adult Medicaid patients with schizophrenia, overall and among young adults aged 18-35 years.

METHODS

Adult patients with a diagnosis of schizophrenia and at least two claims for PP1M or OAA between January 1, 2010 and December 31, 2014 were selected from the IBM Watson Health MarketScan Medicaid Database. Treatment patterns and healthcare resource utilization and costs were compared between PP1M and OAA treatment groups following inverse probability of treatment (IPT) weighting to adjust for potential differences. Utilization and cost outcomes were estimated using OLS and weighted Poisson regression models.

RESULTS

After IPT weighting, the young adult PP1M and OAA cohorts were comprised of 3,095 and 3,155 patients, respectively. PP1M patients had a higher duration of continuous treatment exposure (168.2 vs 132.5 days, p = .004) and better adherence on the index medication (proportion of days covered ≥80%: 19.0% vs 17.1%, p < .049). Young adults treated with PP1M were 37% less likely to have an all-cause inpatient admission (odds ratio [OR] = 0.63, 95% confidence interval [CI] = 0.53-0.74) and 33% less likely to have an ER visit (OR = 0.67, 95% CI = 0.55-0.81) compared to OAA young adult patients, but 27% more likely to have an all-cause outpatient office visit (OR = 1.27, 95% CI = 1.02-1.56). PP1M patients incurred significantly lower medical costs as compared to OAA patients.

CONCLUSIONS

Medicaid patients with schizophrenia treated with PP1M have higher medication adherence and have fewer hospitalizations as compared to patients treated with OAAs. PP1M may lead to reduced healthcare utilization and improved clinical outcomes.

Projecting the Potential Effect of Using Paliperidone Palmitate Once-Monthly and Once-Every-3-Months Long-Acting Injections Among Medicaid Beneficiaries with Schizophrenia

BACKGROUND

Once-monthly and once-every-3-months long-acting injectable (LAI) formulations of paliperidone palmitate (PP1M and PP3M, respectively) are available for the treatment of patients with schizophrenia. However, information on the comparative effectiveness and costs of using these LAIs versus oral antipsychotics (OAs) is not available. The population effectiveness of using these treatments is also not known.

OBJECTIVE

To project the effect of using PP1M and PP3M LAIs on psychiatric (Psych) and all-cause (AC) hospitalization rates over 18 months in patients with schizophrenia receiving Medicaid and treated with OAs.

METHODS

A decision model, informed by data from 3 randomized controlled trials (PRIDE [NCT01157351], 3001 [NCT00111189], and 3012 [NCT01529515]), was developed to compare 3 strategies: (a) initiating OA and switching only to OA; (b) initiating with PP1M and continuing PP1M if the patient was stable at 6 months (or switching to OA if unstable; PP1M→PP1M); and (c) initiating with PP1M and switching to PP3M if the patient was stable at 6 months (or switching to OA if unstable; PP1M→PP3M). PRIDE data were used to inform the first 6-month outcomes; 3001 and 3012 data were used to inform outcomes in stable patients over the following 12 months. The primary outcome for this decision model study was Psych hospitalizations. AC hospitalizations and time to discontinuation were also assessed. Outcomes from each arm and time portions within an arm were reweighted to reflect the distribution of patient characteristics found in the real-world Medicaid sample with PRIDE trial inclusion/exclusion criteria applied. Several validation exercises were carried out to ensure that the reweighted results could reproduce observed outcomes in the Medicaid sample.

RESULTS

Our final target real-world sample size was N=4,609. We found that in the Medicaid sample, compared with initiating treatments with OA, the PP1M→PP1M strategy was projected to produce a per patient decrease of 0.27 (95% CI = -0.43-0.97) and 0.28 (95% CI = -0.28-0.84) in Psych- and AC-related hospitalizations, respectively. Similarly, the PP1M→PP3M strategy was projected to produce a per patient decrease of 0.31 (95% CI = -0.27-0.87) in both Psych- and AC-related hospitalizations over OA. Validation exercises ensured that the reweighting methodology used could replicate observed outcomes in the Medicaid sample. These incremental reductions in hospitalization rates are worth about $3.4-$3.8 billion over an 18-month period in patients with schizophrenia receiving Medicaid.

CONCLUSIONS

Our results suggest that using PP1M and PP3M treatment strategies for patients with schizophrenia receiving Medicaid could result in reduced hospitalizations. This finding, along with improvement to patients' health, should be considered when assessing the value of these LAIs.

DISCLOSURES

This study was supported by Janssen Scientific Affairs and by unrestricted funds from a consortium of 12 biomedical life sciences companies to the University of Washington. Janssen Scientific Affairs was responsible for the design and conduct of the study; the collection, management, analysis, and interpretation of data; the preparation, review, and approval of the manuscript; and the decision to submit the manuscript for publication. Basu received financial support from Janssen Pharmaceuticals, and his time on this project was also partly covered through unrestricted gift funds from the consortium of biomedical life sciences companies. Benson and Alphs are employees of Janssen Scientific Affairs and are stockholders of Johnson & Johnson. Opinions expressed here do not necessarily reflect those of the University of Washington. This study was presented as a poster at the AMCP Managed Care & Specialty Pharmacy 2017 Annual Meeting; March 27-30, 2017; Denver, CO.

Long-Acting Injectable Second-Generation Antipsychotics: An Update and Comparison Between Agents

Schizophrenia is a chronic medical condition with periods of remission and relapses over a patient's lifetime. Antipsychotic medications represent the mainstay of treatment for this disease. Long-acting injectable (LAI) formulations of antipsychotics are an attractive alternative to their oral counterparts, as they enhance patient adherence. A number of second-generation antipsychotics (SGAs) are available in LAI formulations. These include paliperidone, aripiprazole, olanzapine, and risperidone. This article reviews the most recently developed and approved of these formulations-aripiprazole monohydrate, aripiprazole lauroxil, and paliperidone palmitate. While all were initially available as once-monthly formulations, a paliperidone palmitate 3-monthly injection formulation has been approved and is the first LAI agent to extend the dosing administration beyond the typical monthly time period. In addition, aripiprazole lauroxil every 6-week and 8-week administration preparations have been developed. LAI preparations of the SGAs have all demonstrated superiority over placebo and are comparable to their oral counterparts in terms of safety and tolerability, if injection site reactions are not taken into account. First-generation antipsychotic LAI preparations (e.g., haloperidol decanoate) have recently been compared with SGA LAI agents, and both formulations demonstrated comparable efficacy with the expected adverse events seen with each drug. Despite their availability, barriers to the use of LAIs remain. Education of both patients and clinicians on the use of LAI formulations and the continued development of these agents are important steps in ensuring these medications are available to the patients they would be most likely to benefit.