Measuring Medication Adherence in Patients With Schizophrenia: An Integrative Review

Adherence of patients with schizophrenia to hypothyroidism treatment

Adherence to prescription medications is critical for both remission from schizophrenia and control of physical comorbidities. While schizophrenia with comorbid hypothyroidism is common, there is little research on adherence to hypothyroidism treatment in this population. The current study used a retrospective, matched case-control design. The cohort included 1,252 patients diagnosed with schizophrenia according to ICD-10 and 3,756 controls matched for gender, age, socioeconomic status and ethnicity without diagnosis of schizophrenia. All data were retrieved from the electronic medical database of a large health maintenance organization. Retrieved data included demographics, thyroid functionality test results and prescribed medications. Measures of adherence to therapy were used for analyses as were data from follow-ups of patients with hypothyroidism. A diagnosis of hypothyroidism was found in 299 patients, 115 of whom were also diagnosed with schizophrenia. The 184 without schizophrenia constituted the control group. No statistically significant differences were found between the two groups regarding prescriptions for L-thyroxin and TSH levels and number of TSH tests. Adherence of patients with schizophrenia to hypothyroidism treatment was found to be as good as that of individuals without a schizophrenia diagnosis.

Perception of risk of relapse among patients with first episode and recurrent schizophrenia: a descriptive phenomenological study

BACKGROUND

Patients suffering from schizophrenia are at a higher risk of relapse. The perception of the risk of relapse in patients is critical for relapse prevention. In the field of psychiatry, the study of risk perception of relapse has been neglected.

METHODS

We carried out a qualitative study using a descriptive phenomenological approach. Data were collected at two psychiatric hospitals in China. In total, 22 patients with schizophrenia were recruited through purposive sampling. Face to face semi-structured in-depth interviews were conducted. Interview recordings were transcribed by the research team, and transcripts were analysed by two independent coders with Colaizzi's descriptive analysis framework. The consolidated criteria for reporting qualitative research checklist were used for reporting.

RESULTS

The data of first-episode patients yielded three themes: (i) lack of knowledge about disease recognition and medical treatment; (ii) overoptimistic estimation of the risk of relapse; (iii) perceived importance of treatment. For first-relapse patients : (i) initial awareness of relapse warning signs; (ii) lack of systematic and accurate assessment of disease information; (iii) the perception that drug withdrawal is related to relapse. Patients with multiple relapses: (i) susceptibility to relapse: confusion and powerlessness; (ii) the severity of relapse: suicidal thoughts and behavior; (iii) effects of perceived benefits and barriers of medication behaviour.

CONCLUSIONS

In schizophrenic patients with first-episode, first-relapse, and multiple relapses, there were dynamic changes in the perception of disease relapse risk and medication behaviour. Medical workers must improve risk awareness education. They should provide patients with scientific, accurate, and timely communication channels, and dynamically assess and manage the risk of relapse in various patients.

Detecting medication non-adherence in schizophrenia: A comparison of different methods among outpatients from a North Indian center

BACKGROUND

The rates of medication non-adherence among Indian patients with schizophrenia are high, and its detection poses problems. Comparisons of suitable measures to detect medication non-adherence in schizophrenia from Indian outpatient settings are scarce.

AIM

This study compared simple and inexpensive methods of detecting medication non-adherence in schizophrenia among outpatients from a tertiary-care center in North India.

MATERIALS AND METHOD

A longitudinal comparison of two self-reports, the Morisky Medication Adherence Questionnaire and the Drug Attitude Inventory-10, clinicians' ratings employing the Compliance Rating Scale, and clinic-based pill counts was conducted among 70 outpatients with schizophrenia. The rates and detection of medication non-adherence, associations with determinants of treatment non-adherence, and agreement between measures were examined at intake and after six months of follow-up (n = 53).

RESULTS

The self-reports had greater ability to detect medication adherence (specificity 41-65%; positive predictive values 25-51%; negative likelihood ratios 0.86-1.14) and moderate ability to detect medication non-adherence (sensitivity 27-65%; negative predictive values 49-69%; positive likelihood ratios 0.78-1.10). They yielded higher medication non-adherence rates, detected changes in medication non-adherence over time, and were associated with the other measures and the well-known correlates of medication non-adherence. Clinicians' ratings and pill counts had high sensitivity (56-90%) but low specificity (35-49%) to detect medication non-adherence.

CONCLUSION

Self-reports are comparatively better screening options for detecting medication non-adherence among Indian outpatients with schizophrenia. However, the sequential use of different measures could lead to better recognition of medication non-adherence.

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.

Test performance of self-report adherence tools in patients with hypertension: A systematic review and a meta-analysis

WHAT IS KNOWN AND OBJECTIVES

Adherence has proved to have a positive influence on achieving plausible treatment outcomes. Self-report questionnaires are widely used in evaluating adherence, creating thus a high-powered research field. This review aims to provide an update of scales used in hypertension, which are compared and analysed against reliability and validity.

METHODS

PubMed, Web of Science and Cochrane Library were searched in May 2022 to identify studies. We extracted the study characteristics and evaluated their quality. A random-effects model with subgroup analysis was used to calculate estimates and heterogeneity parameters as well as regressions, funnel and forest plots. A bivariate model was selected to conduct validity analyses and draw receiver operating characteristic (ROC) curves.

RESULTS AND DISCUSSION

Fifty-five articles were identified and classified into 22 different reliable and validated tools. Pooled analyses predicted an overall good Cronbach's alpha of 0.76 (95%CI:0.67-0.83), a good ICC of 0.8 (95%CI:0.72-0.86) and an excellent correlation coefficient of 0.91 (95%CI:0.86-0.95), which all showed high heterogeneity and slight detection of asymmetry. Regression analyses showed that only time and the number of items/scale type influenced significantly retest and alpha, respectively. Overall validity showed acceptable sensitivity of 0.65 (95%CI:0.53-0.75) and specificity of 0.57 (95%CI:0.47-0.67) with a good Area Under Curve (AUC) of 0.637. Upon comparison, four tools showed superiority over Morisky's scale.

WHAT IS NEW AND CONCLUSION

Adherence is a multi-dimensional phenomenon, which deems scales to be highly variable or complex; thus, complicating the selection process. Adherence to Refills and Medications Scale (ARMS) is the most promising free non-inferior alternative to Morisky, the most used scale.

Dried Blood Spot (DBS) as a useful tool to improve clozapine, aripiprazole and paliperidone treatment: From adherence to efficiency

INTRODUCTION

Therapeutic Drug Monitoring (TDM) of antipsychotics in schizophrenia is a powerful tool that allows tailoring the treatment in an individualized approach. Our goals are to develop and validate a Dried Blood Spot (DBS) method for monitoring some commonly used antipsychotics (aripiprazole, clozapine, and paliperidone) and to evaluate its usefulness as a compliance biomarker, as well as in drug-dose adjustment to personalize the antipsychotic treatment to improve its efficacy and safety.

METHODS

31 first-psychotic episode (FEP) and schizophrenia patients were included; 5 refer to naïve FEP who started antipsychotic treatment; 26, to patients with more than one episode and under antipsychotic treatment: aripiprazole (7 cases), clozapine (17), paliperidone (11). For DBS sample collection, 25μl of capillary blood were placed in the spot of a FTA™DMPK-C-card. After completely dryness, antipsychotics were extracted and analyzed by a validated UHPLC-MS/MS-method. DBS antipsychotic results were compared with those obtained in venous blood/plasma.

RESULTS

Aripiprazole, paliperidone and clozapine showed from good to excellent correlations between concentrations in venous blood and DBS capillary blood (r², from 0.500 to 0.721). The correlation between conventional plasma and DBS concentrations for paliperidone, aripiprazole, clozapine, and their metabolites were moderate, suggesting that optimal drug target concentrations should be established for DBS.

CONCLUSIONS

In this study, for aripiprazole, dehydroaripiprazole, paliperidone, clozapine and desmethylclozapine, DBS has provided good analytical performance for TDM. Thus, DBS sampling can offer a great alternative over conventional sampling for plasma measurement. The assay provides good analytical performances for TDM and clinical research applicability, suggesting that DBS is a promising clinical application in TDM in psychiatry.

Mental Health Nurses’ Tacit Knowledge of Strategies for Improving Medication Adherence for Schizophrenia: A Qualitative Study

Non-adherence to medication among patients with schizophrenia is an important clinical issue with very complex reasons. Since medication administration is an essential nursing responsibility, improving strategies for patient medication compliance must be fully understood. This study aimed to explore the strategies mental health nurses (MHNs) implement in clinically improving patients with schizophrenia and to describe the nurses’ tacit knowledge of application strategies. A qualitative study with purposeful sampling was used. Twenty-five experienced MHNs in a psychiatric hospital in central Taiwan were given an in-depth interview. The texts were content-analyzed using NVivo 12 Pro software. MHNs promote medication adherence among patients with schizophrenia using the following strategies: establishing a conversational relationship, overall assessment of non-adherence to medication, understanding the disease and adjusting the concept of medication, incorporating interpersonal connection feedback, and building supportive resources. This study explored the strategies of MHNs that incorporated knowledge in managing treatment adherence in patients with schizophrenia. The findings add knowledge to clinical nursing practice about medication adherence among patients with schizophrenia.

A Systematic Review of Methods and Study Quality of Economic Evaluations for the Treatment of Schizophrenia

Background: Schizophrenia is a severe and complex disease with substantial economic and social burdens. Despite multiple treatment choices, adverse events, and impaired social functions are still challenges in clinical therapy. Pharmacoeconomic evaluations could provide evidence to help decision makers improve the utilization of scarce resources. However, there remains some challenges especially in modeling due to uncertainties in progression of schizophrenia. There are limited summaries about the overall methodologies of schizophrenia economic evaluations.

Objective: The aim of this study is to review the existing economic evaluations of antipsychotics for the treatment of schizophrenia and summarize the evidence and methods applied.

Methods: An electronic literature search was performed in PubMed, Web of Science, EBSCO host, The Cochrane Library and ScienceDirect from January 2014 to December 2020. Search terms included “schizophrenia,” “schizophrenic,” “pharmacoeconomic,” “economic evaluation,” “cost-effectiveness,” and “cost-utility.” The Literature was screened and extracted by two researchers independently and assessed with the Quality of Health Economic Studies (QHES) List and Consolidated Health Economic Evaluation Reporting Standards (CHEERS) Statement.

Results: A total of 25 studies were included in the review. The regions included Europe, North America, Asia and Africa. Most of the studies chose second-generation antipsychotics as comparators and integrated treatment sequences. Time horizons varied from 1 year to lifetime. The healthcare sector was the most common perspective, accordingly, most of the evaluations considered only direct medical costs. The Markov model and decision tree model were the most common choices. Adverse events, compliance and persistence were considered important parameters. Quality-adjusted life-years were the major outcomes applied to the economic evaluations. All utilities for health states and adverse events were collected from published literature. All of the studies applied uncertainty analysis to explore the robustness of the results. The quality of the studies was generally satisfactory. However, improvements were needed in the choice of time horizons, the measurements of outcomes and the descriptions of assumptions.

Conclusions: This study highlights the methodology of economic evaluation of schizophrenia. Recommendations for modeling method and future study are provided.

The Effect of Therapeutic Alliance on Attitudes Toward Psychiatric Medications in Schizophrenia

PURPOSE/BACKGROUND

The differential influence of therapeutic alliance with different health care professionals on patients' medication adherence has never been examined.

METHODS/PROCEDURES

Ninety-five stable outpatients (91 patients with schizophrenia and 4 patients with schizoaffective disorder) were recruited. Individual, clinical, and medication factors were assessed, along with drug attitude (10-item Drug Attitude Inventory). Comparison on these factors was made between outpatients who identified psychiatrists as the health care professional most involved in their care, as compared with other health care professionals.

FINDINGS/RESULTS

Older age, longer duration of illness, presence of medical comorbidities, lower levels of internalized stigma, higher levels of insight, higher levels of functioning, lesser severity of depressive symptoms, and positive symptoms were found to be significantly associated with greater levels of drug attitude (small to moderate associations). Only therapeutic alliance had a large correlation with drug attitude (ρ = 0.503, P < 0.001). The therapeutic alliance scores between the 2 health care professionals groups are not significantly different. However, participants who have identified psychiatrists as the health care professional that contributed the most to their recovery reported a significantly more positive attitude (μ = 6.18, SD = 3.42) toward psychiatric medication as compared with the other health care professionals group (μ = 3.11, SD = 5.32, P = 0.004). Only 2 factors, the Revised Helping Alliance Questionnaire (β = 0.424, P < 0.001) and Personal and Social Performance scale (β = 0.272, P = 0.006), were statistically significant predictors of drug attitude.

IMPLICATIONS/CONCLUSIONS

Therapeutic alliance is found to be the lead factor associated with drug attitude in patients with schizophrenia. Identifying psychiatrists as the health care professional most involved in the patients' recovery can greatly increase patients' drug attitudes. Maintaining individuals' functioning also contributes to drug attitude.

Nonadherence after hospital discharge in patients with schizophrenia or schizoaffective disorder: A six-month naturalistic follow-up study

BACKGROUND

Despite a wealth of studies seeking to identify factors associated with nonadherence few consistent predictors have been determined, and several gaps still exist in the literature.

METHOD

We assessed 110 consecutively admitted patients diagnosed with schizophrenia or schizoaffective disorder according to ICD-10 criteria. Assessments were performed during hospitalization and at six-months follow-up. Evaluation included sociodemographic, clinical, psychopathologic and treatment-related variables. Prevalence of nonadherence, associated variables, reasons for nonadherence and possible subtypes were explored. Adherence was defined as the concurrence of adherence to antipsychotic treatment and adherence to outpatient follow-up, during the six-month period.

RESULTS

Nonadherence was detected in 58.2% of patients. An identifiable profile was found in nonadherent patients. After multivariate logistic regression analysis, low socio-economic level (OR = 3.68; 95% CI = 1.42-9.53), current cannabis use or abuse (OR = 2.79; 95% CI = 1.07-7.28), nonadherence as a reason for relapse and admission (OR = 5.46; 95% CI = 2.00-14.90), and greater overall severity of symptoms at six months follow-up (OR = 2.00; 95% CI = 1.02-3.95) remained independently associated with nonadherence. Believing that medication is unnecessary was the most reported reason for nonadherence. For nonadherent patients (N = 64), two distinguishable subtypes were found: intentional nonadherence (N = 32; 50%), and unintentional nonadherence (N = 32; 50%).

CONCLUSIONS

A large percentage of patients with schizophrenia or schizoaffective disorder did not adhere to their treatment in the post-discharge follow-up period. The profile identified may enable better prevention of this problem. Specific reasons for nonadherence should also be explored to provide individualized strategies.

Improving adherence to pharmacological treatment for schizophrenia: a systematic assessment

Introduction: Poor adherence to pharmacological treatment is prevalent in schizophrenia, affecting more than half of patients at some time, with increased risks of clinical worsening, adverse outcomes, suicide, and increased resource utilization including hospitalization, with higher costs.Areas Covered: This review considers factors associated with treatment-nonadherence among schizophrenia patients, with a systematic evaluation of interventions aimed at improving adherence with an emphasis on evidence arising from their testing.Expert opinion: Several interventions have addressed factors empirically associated with treatment-nonadherence, including various drug-, patient - and clinical services-associated factors. They include long-acting injected (LAI) drug formulations, behavioral interventions, and technology-supported methods. Use of LAI antipsychotics and behavioral techniques aimed at incorporating medicine-taking into daily routines with electronic monitoring have been assessed relatively extensively. Mobile, digital applications including medication monitoring systems and artificial intelligence-based interactions are emerging but have been tested in few trials of limited quality with inconclusive results. Randomized, controlled, blinded trials based on clinically representative samples are needed to evaluate not only adherence, but also to test for clinically meaningful and sustained clinical benefits in schizophrenia patients, who are especially difficult to treat.

Real-World Outcomes and Costs Following 6 Months of Treatment with the Long-Acting Injectable (LAI) Aripiprazole Lauroxil for the Treatment of Schizophrenia

BACKGROUND

Continuous antipsychotic therapy is recommended as part of long-term maintenance treatment of schizophrenia, and gaps in antipsychotic treatment have been associated with increased risks of relapse and rehospitalization. Because the use of long-acting injectable (LAI) antipsychotics may reduce the likelihood of undetected medication gaps, initiating an LAI medication may affect resource utilization and costs. The LAI aripiprazole lauroxil (AL) was approved in the United States (US) in 2015 for the treatment of schizophrenia in adults.

OBJECTIVE

The objective of this retrospective observational cohort study was to examine treatment patterns, resource utilization, and costs following initiation of AL for the treatment of schizophrenia in adults.

METHODS

A retrospective analysis of Medicaid claims data identified a cohort of patients (N = 485) starting AL shortly after Food and Drug Administration approval in October 2015. Treatment patterns, resource utilization, and costs were compared 6 months before and after treatment initiation. Subgroup analyses were conducted based on the type of antipsychotic (LAI, oral, or none) received before initiation of AL.

RESULTS

Over 6 months of follow-up, patients received an average of 4.6 injections out of a maximum of six (77%). After initiating AL, all-cause inpatient admissions decreased by 22.4%; other significant reductions were observed in mental health-related admissions and emergency room (ER) visits. All-cause inpatient costs decreased by an average of US$2836 per patient (p < 0.05) in the 6-month post-AL period, whereas outpatient pharmacy costs increased by US$4121 (p < 0.05), resulting in no significant difference in overall costs between the pre- and post-AL periods. The subgroup of patients who had been prescribed an oral antipsychotic before starting AL had significant reductions in proportion of patients with inpatient and ER visits and costs, but also reported a significant increase in pharmacy costs.

CONCLUSIONS

AL was associated with a significant reduction in inpatient costs and an increase in outpatient pharmacy costs, resulting in no changes in total healthcare costs over 6 months. The adherence rate and reductions in inpatient use may indicate the potential for greater clinical stability among patients initiated on AL compared with their previous treatment.

Self-Report for Measuring and Predicting Medication Adherence: Experts' Experience in Predicting Adherence in Stable Psychiatric Outpatients and in Pharmacokinetics

THE PROBLEM

Poor adherence to appropriately prescribed medication is a global challenge for psychiatrists.

PRIOR STUDIES

Measuring adherence is complicated. In our recent three-country naturalistic study including more than 1000 patients and their adherence to multiple medication prescriptions at the same time, patients' self-report of adherence to each specific drug was the only practical option for measuring adherence. Systematic literature reviews provide inconsistent results for sociodemographic, clinical and medication variables as predictors of adherence to psychiatric drugs. Our studies over the last 10 years in relatively stable psychiatric outpatients have shown that some self-reported health beliefs had consistent, strong effects and a better predictive role. Three dimensions of these health beliefs are characteristics of the individual: 1) attitudes toward psychiatric medication such as pharmacophobia (fear of taking drugs or medicines), 2) health locus of control (the belief patients have about who or what agent determines the state of their health), 3) psychological reactance (an emotional reaction in direct contradiction to rules or regulations that threaten or suppress certain freedoms in behavior). They can be measured by the Patient Health Beliefs Questionnaire on Psychiatric Treatment. The attitude toward each specific medication can be measured by the necessity-concern framework and summarized as the presence or absence of skepticism about that drug. After 25 years conducting pharmacokinetic studies in psychiatric drugs, particularly antipsychotics, we have limited understanding of how to use blood levels to predict the effects of non-adherence or to establish it.

EXPERT OPINION ON FUTURE STUDIES

Future studies to predict adherence should include the inpatient setting and explore insight. Studying the pharmacokinetics associated with non-adherence in each psychiatric drug is a major challenge. Medication adherence is a complex and dynamic process changing over time in the same patient. Personalizing adherence using psychological or pharmacological variables are in their initial stages.

Early initiation of long-acting injectable antipsychotic treatment is associated with lower hospitalization rates and healthcare costs in patients with schizophrenia: real-world evidence from US claims data

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

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

Introduction

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.

Electronic supplementary material

The online version of this article (10.1007/s12325-018-0785-y) contains supplementary material, which is available to authorized users.

Medication adherence and discontinuation of long-acting injectable versus oral antipsychotics in patients with schizophrenia or bipolar disorder

AIMS

To examine medication adherence and discontinuation in two separate groups of patients with schizophrenia or bipolar disorder (BD), who began receiving a long-acting injectable antipsychotic (LAI) versus those who changed to a different oral antipsychotic monotherapy.

MATERIALS AND METHODS

The Truven Health Analytics MarketScan Multi-State Medicaid claims database was used to identify patients with schizophrenia; Truven Health Analytics MarketScan Commercial and Medicaid claims databases were used to identify patients with BD. The analyses included adult patients (≥18 years) who either began receiving an LAI (no prior LAI therapy) or changed to a different oral antipsychotic (monotherapy). The first day of initiating an LAI or changing to a new oral antipsychotic was the index date. Linear and Cox regression models were conducted to estimate medication adherence (proportion of days covered [PDC]) and time to medication discontinuation (continuous medication gap ≥60 days), respectively. Models adjusted for patient demographic and clinical characteristics, baseline medication use, and baseline ED or hospitalizations.

RESULTS

Patients with schizophrenia (N = 5638) who began receiving LAIs had better medication adherence (5% higher adjusted mean adherence) during the 1 year post-index period and were 20% less likely to discontinue their medication during the entire follow-up period than patients who changed to a different oral antipsychotic monotherapy, adjusting for differences between LAI users and oral users. Similarly, patients with BD (N = 11,344) who began receiving LAIs also had 5% better medication adherence and were 19% less likely to discontinue their medication than those using oral antipsychotics.

LIMITATIONS

Clinical differences unmeasurable in this database may have been responsible for the choice of LAI versus oral antipsychotics, and these differences may be responsible for some of the adherence advantages observed.

CONCLUSIONS

This real-world study suggests that patients with schizophrenia or BD who began receiving LAIs had better medication adherence and lower discontinuation risk than those who changed to a different oral antipsychotic monotherapy.

Management of Schizophrenia Spectrum Disorders in the Outpatient Setting: A Quality Improvement Project

Antipsychotic medications are the basis for treatment of schizophrenia spectrum disorders. Despite symptom improvement with antipsychotic medications for these patients, nonadherence to medications persists which may lead to symptom reoccurrence, decreased quality of life, and increased rates of rehospitalization. The aim of this quality improvement project was to determine, through a retrospective analysis, factors impacting treatment adherence in an outpatient setting in Central Florida for patients with a schizophrenia spectrum disorder enrolled in a patient assistance program to identify gaps in care/services in order to improve quality care. Data were collected using convenience sampling from an electronic health record at an outpatient clinic. Logistic regression was used to identify any possible correlations between personal and social factors related to treatment adherence. Lack of life skills coaching, insurance, utilization of decanoate medications, and side effects decreased the likelihood of stability at the last visit. Significant odds of instability at the last visit was 27% higher for clients with a substance abuse history. While medication nonadherence remains a challenge in patients diagnosed with schizophrenia spectrum disorders, several components of care appeared to positively influence treatment outcomes. Quality improvement recommendations based on identified gaps were made to improve medication nonadherence in practice.