A comparison of electronic monitoring vs. clinician rating of antipsychotic adherence in outpatients with schizophrenia

Clinician differences in attitudes and perceptions on the use of long-acting injectable antipsychotic agents in treating patients with schizophrenia: results from the US DECIDE survey

BACKGROUND

Long-acting injectable antipsychotics (LAIs) reduce relapses in schizophrenia; however, most clinicians reserve LAIs for nonadherence with oral antipsychotics (OAs) or severe disease.

METHODS

US psychiatric clinicians were surveyed regarding their schizophrenia management practices and use of LAIs. Respondents were grouped by LAI use (high [≥ 31% of patients using LAIs], low [≤ 14% using LAIs]; mid not analyzed) and mindset based on their response to "Which of the following best fits the current way you view your use of [LAIs] for your patients with schizophrenia?"

RESULTS

Respondents (n = 380) were distributed across LAI use (106 high, 130 low) and mindset (123 early-use, 88 severity-reserved, 113 adherence-reserved, 56 LAI-hesitant) subgroups. Across subgroups, clinicians estimated that OA nonadherence was lower for patients in their practice (21-52%) than for patients nationwide (50-56%). Compared with other subgroups, greater proportions with high LAI use or an early-use mindset were confident in key aspects of LAI treatment like dosing, managing side effects, and access (67-74% high LAI use, 59-70% early-use vs. 11-57% other subgroups; P < .05 each), agreed it was "worth [their] time to resolve issues with the insurance company" (42%, 45% vs. 16-30%; P < .05 each), and were optimistic they would be able to do so (23%, 20% vs. 2-11%; P < .05 each). Clinicians with high LAI use estimated the proportion of patients who initially accept LAIs to be higher (mean, 56%) than clinicians with low LAI use (45%, P < .01); there were no differences among mindsets (49-54%). Clinicians with high LAI use or early-use mindset were more likely to "use any means necessary to ensure that a patient is on an LAI" than clinicians in other subgroups (44% high LAI use, 51% early-use vs. 5-22% other subgroups; P < .01 each) or had used guardianship to assist with treatment (70%, 69% vs. 32-56%; P < .05 each).

CONCLUSIONS

These results indicate that multiple factors (e.g., environmental/demographic factors, access, attitudes, motivation, knowledge/confidence) combine to influence LAI use, and highlight the need to tailor educational materials aimed at improving patient outcomes through increased LAI use.

Development of the Telephone-based Daily Instrumental Activities of Living (T-DIAL) to assess financial management remotely in older adults

The current study evaluated the reliability and validity of a novel, performance-based banking task in 60 younger (18-34 years) and 60 older (50-85 years) adults. All participants completed the Telephone-based Daily Instrumental Activities of Living (T-DIAL) using interactive voice response technology to complete a series of mock actions with a financial institution via telephone. The T-DIAL showed strong inter-rater reliability and internal consistency. T-DIAL accuracy was significantly and independently related to better self-reported instrumental activities of daily living and executive functions at a large effect size. Findings from this study provided preliminary supportive evidence for the reliability and validity of the T-DIAL, which had robust associations with manifest everyday functioning and higher-order cognitive ability. Future work is needed on the psychometrics (e.g. test-retest reliability, normative standards), and construct validity (e.g. diagnostic accuracy) of the T-DIAL in neurocognitive disorders and under-served communities for whom remote evaluations might be particularly relevant.

Introducing S.C.O.P.E.™ (Schizophrenia Clinical Outcome Scenarios and Patient-Provider Engagement), an Interactive Digital Platform to Educate Healthcare Professionals on Schizophrenia Care

Despite evidence of benefits beyond those of oral antipsychotics, long-acting injectable antipsychotics (LAIs) are underused in schizophrenia treatment. Underuse may be partially a result of misconceptions held by some healthcare professionals (HCPs) pertaining to LAIs. A panel of four experts convened between January 2022 and May 2022 to identify these misconceptions, and example cases or scenarios were created to illustrate common clinical situations relevant to these beliefs. Ultimately, an online platform and heuristic tool, Schizophrenia Clinical Outcome Scenarios and Patient-Provider Engagement (S.C.O.P.E.™), was developed to help prescribing clinicians and other HCPs better understand common clinical dilemmas, as well as the place for LAIs in schizophrenia treatment. Three main misconceptions related to the use of LAIs to treat schizophrenia were identified and included "physicians/providers know when patients are nonadherent", "patients do not accept/want LAI treatment", and "LAIs are only appropriate for patients who have demonstrated nonadherence". All misconceptions are refuted by current evidence and were used to develop clinical scenarios with questions to consider when patients present to various sites of care for treatment. These cases are presented on the S.C.O.P.E. educational platform. The platform also includes videos designed to help non-prescribing HCPs and mental health professionals address patient/caregiver concerns and to communicate LAI benefits. In addition, S.C.O.P.E. provides a section with information about each LAI that is currently FDA approved in the United States for the treatment of schizophrenia, to help familiarize HCPs with characteristics of LAIs. S.C.O.P.E. is an educational tool designed for HCPs to help improve their understanding of how to manage common clinical dilemmas in the treatment of people with schizophrenia, to clarify the role of LAIs in medication management, and to increase understanding of the characteristics of available LAIs. S.C.O.P.E. also aims to improve care in schizophrenia by facilitating increased awareness to patients and caregivers.

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.

Real-World Evidence of Aripiprazole Tablets with Sensor: Treatment Patterns and Impacts on Psychiatric Healthcare Resource Utilization

Purpose

Maintaining adherence to antipsychotic (AP) medication is often challenging. Aripiprazole tablets with sensor (AS) contain an ingestible event marker and communicate with wearable patches and a smartphone app to provide objective medication ingestion data. This study evaluated real-world treatment patterns of AS usage and its impact on psychiatric healthcare resource utilization (HCRU).

Patients and Methods

This retrospective, observational cohort study identified individuals who initiated AS between 1/1/2019 and 6/30/2020 with 3 months baseline and 6 months of follow-up data using a commercial medical and pharmacy claims database (Clarivate). Controls were propensity score-matched (4:1) to AS initiators based on age (±2 years), sex, diagnosis (major depressive disorder [MDD], schizophrenia, bipolar I disorder [BP-I], other), insurance, and baseline oral AP use (yes/no). Days of AP supply were evaluated using a general regression model. The frequency of psychiatric HCRU during follow-up was compared between groups using a zero-inflated regression model.

Results

Most AS initiators were diagnosed with MDD (61.2%) and were women (61.2%); mean age was 37.7 years (standard deviation: 14.1). Most AS initiators (53.1%) continued treatment for >60 days (mean days of supply = 77). After adjusting for covariates, AS initiators had 41% more days of AP supply during follow-up compared with controls (P <0.0001) and significantly lower adjusted odds ratios (ORs) for psychiatric outpatient visits (adjusted OR = 0.80; P <0.05), emergency department visits (adjusted OR = 0.11; P <0.05), inpatient visits (adjusted OR = 0.42; P <0.05), and other medical services (adjusted OR = 0.25; P <0.05).

Conclusion

Participants who implemented AS had significantly more days of AP supply and fewer psychiatric care visits. These preliminary results suggest AS usage can help build regular medication-taking habits and holds promise for reducing psychiatric HCRU. Additional studies with larger sample sizes are warranted to inform clinical practice and coverage decisions.

Updated strategies for the management of poor medication adherence in patients with bipolar disorder

INTRODUCTION

Suboptimal adherence is a well-established, pervasive problem in individuals with bipolar disorder (BD) causing disability, suffering, and cost.

AREAS COVERED

This review covers new research since January 2016 regarding internal (patient-centered) and external (system level) barriers and facilitators to adherence. Measures of adherence, the efficacy of psychosocial adherence enhancement interventions in individuals with BD, and, finally, novel delivery systems for BD medication are also covered. Measures of adherence continue to fall broadly into objective measures (i.e. drug levels) and more subjective, self-report measures and a combination of these likely provides the most comprehensive picture. Efficacious components of psychosocial adherence enhancement interventions include psychoeducation, motivational interviewing, and cognitive behavioral strategies, yet methods for delivery vary. Long-acting injectable (LAI) medications for BD are the drug delivery system with the most promise for BD. Combining psychosocial components with novel drug delivery systems has the potential for establishing and maintaining medication adherence.

EXPERT OPINION

Psychosocial interventions improve adherence in individuals with BD. Psychoeducation is a necessary but not sufficient component in psychosocial interventions. LAIs should be considered earlier for adherence improvement than many treatment guidelines currently suggest. Comparative studies are lacking as is research into novel systems of medication delivery.

Long-acting antipsychotics in the treatment of schizophrenia: opportunities and challenges

INTRODUCTION

Maintenance antipsychotic treatment improves multiple outcomes in people with schizophrenia. These benefits are challenged by medication nonadherence, which is a common occurrence. Long-acting injectable antipsychotic (LAI) formulations were developed to reduce nonadherence and thereby improve outcomes. This narrative review is based on a PubMed search (January 2000 - August 2022) for studies on LAI antipsychotics.

AREAS COVERED

Opportunities and challenges associated with LAIs are reviewed. Advantages, compared to oral antipsychotics (OAs), include improved adherence, reduced relapse and hospitalization risk, delayed and lower relapse risk after stopping treatment, and the ability to differentiate true treatment resistance from 'pseudo'-resistance. Additionally, LAIs are associated with lower all-cause mortality than OAs. LAIs are under-used in many services, partly reflecting negative attitudes, misconceptions, and lack of knowledge among clinicians, patients, and carers. Practical barriers to LAI use include acquisition costs and inadequate service structures to administer/monitor LAI treatment.

EXPERT OPINION

The education and engagement of clinicians, patients and caregivers can assist more informed decision-making regarding LAIs. Future research regarding LAIs should encompass multiple complementary designs, focus on functionality and recovery outcomes, and include groups at high risk of relapse, including those with comorbid substance use disorders and early in the course of schizophrenia.

Evaluation of factors associated with medication adherence in patients with bipolar disorder using a medication event monitoring system: a 6-month follow-up prospective study

BACKGROUND

Non-adherence in patients with bipolar disorder (BD) results in symptoms, such as aggravation, BD recurrence, emergency room visits, re-hospitalization, and poor psychosocial outcomes. Though non-adherence rates have been reported to range between 30-50% in patients with BD, the problem of adherence is often either overlooked by the physician or denied by the patient. An essential first step to enhancing medication adherence is to objectively estimate adherence. The Medication Event Monitoring System (MEMS), which is a pill bottle cap with a microprocessor, is an accurate device for assessing medication adherence. Using the MEMS, we aimed to measure medication adherence in patients with BD and evaluate the factors associated with and 6-month changes in medication adherence.

METHODS

Participants with BD were recruited from the psychiatric outpatient clinic of the Korea University Guro Hospital. The medication adherence of each participant was assessed using the MEMS, a self-report, pill count, and clinician rating. MEMS-measured adherence was reassessed after 6 months. Patient demographics were recorded and clinical assessments were conducted. Data were analyzed using Kappa statistics and Pearson's correlation analysis.

RESULTS

Of the 59 participants, 50 records were included in the analysis. Patient adherence and adherence rate assessed by the MEMS were lower than those assessed by the other measures. MEMS-measured adherence was correlated more closely with pill counts than with self-reports or clinician ratings. MEMS-measured adherence was negatively associated with prescription duration and the Brief Psychiatric Rating Scale-Affect Subscale Score. Six-month changes in MEMS-measured adherence were positively associated with attitude toward drugs and negatively associated with weight gain assessed by the Udvalg for Kliniske Undersøgelser Side Effect Rating Scale.

CONCLUSIONS

Clinicians may have to consider the limited accuracy of self-reporting and clinician rating methods and exercise caution when assessing the medication adherence of patients with BD using these methods. Our findings may assist clinicians in the assessment and improvement of medication adherence in patients with BD and, consequently, may be useful for the treatment and prevention of BD recurrence.

Satisfaction Survey on Antipsychotic Formulations by Schizophrenia Patients in Japan

Objective

Methods

Results

Conclusion

Antipsychotic nonadherence measured by electronic adherence monitoring in stabilized chronic schizophrenia: Clinical implications

BACKGROUND

There have been a number of studies investigating antipsychotic adherence measured by electronic adherence monitoring (EAM) in patients with schizophrenia. However, no study has looked at overall adherence and both baseline and endpoint illness/symptom severity.

METHODS

We performed a secondary analysis of our previous study to examine antipsychotic adherence, as measured by EAM, and illness/symptom severity at baseline and endpoint in patients with schizophrenia. Adherence rates were defined as the proportion of adherent days over 3 months. Adherent days were defined as the subject having taken the medication at the prescribed time, with 2 tolerance margins operationally defined i.e., ±3 h and ±12 h. In addition, a dichotomous version of adherence was defined i.e., if he/she was adherent greater than 80% of the days. Illness severity and symptom severity were assessed using the Brief Psychiatric Rating Scale (BPRS) total score and the Clinical Global Impression - Severity of illness (CGI-S) scale score, respectively.

RESULTS

A total of 111 patients were enrolled in the study. Neither continuous or dichotomous adherence rates were significantly associated with baseline or endpoint illness/symptom severity (all Ps ≥ 0.05). The results remained unchanged when adjusting for clinico-demographic characteristics.

CONCLUSION

Antipsychotic adherence, as measured by EAM, was not associated with illness/symptom severity at baseline and endpoint in patients with chronic schizophrenia, whose clinical status and adherence pattern were stabilized. This suggests that individuals may be able to achieve clinical stability in the face of maintenance antipsychotic treatment despite variations in adherence.

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.

Age and sex determine conversion from immediate-release to extended-release tacrolimus in a multi-center cohort of Canadian pediatric renal transplant recipients

ER-Tac, taken once per day, is associated with improved adherence. This study examined the potential patient and clinical factors that influence clinicians to convert pediatric patients from immediate-release to ER-Tac. This prospective multi-center observational study followed Canadian pediatric kidney transplant recipients up to 5 years post-transplant. Cox Proportional Hazards Regression was used to examine the influence of factors on conversion to ER-Tac. Sixty-six participants were included in this analysis. For every additional year of age at the time of transplant, the likelihood of conversion was more than doubled (HR 2.54, CI 1.83, 3.54, P < 0.001). The impact of age reduced by three percent for every month after transplant (HR 0.97, CI 0.95, 0.98, P < 0.001). Girls were more likely to be converted than boys (HR 3.78, CI 1.35, 10.6, P 0.01). Adherence measures (MAM-MM and tacrolimus trough variability), individual barriers to adherence, renal function, HLA mismatch, and rejection were not significant predictors of conversion in the final regression model. ER-Tac was preferentially prescribed to older age and female patients. Female sex and adolescence are both associated with worse graft outcomes, but we found no link between individualized markers of adherence/graft risk and conversion. Clinicians appeared to be using demographic features to distinguish patients at perceived higher risk and converted accordingly, without a case-by-case evaluation of who is more susceptible to poor outcomes.

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.

Daily functioning and symptom factors contributing to attitudes toward antipsychotic treatment and treatment adherence in outpatients with schizophrenia spectrum disorders

BACKGROUND

Poor adherence and negative attitudes to treatment are common clinical problems when treating psychotic disorders. This study investigated how schizophrenia core symptoms and daily functioning affect treatment adherence and attitudes toward antipsychotic medication and to compare patients using clozapine or other antipsychotics.

METHOD

A cross-sectional study with data from 275 patients diagnosed with schizophrenia spectrum disorder. Patients adherence, attitudes, insight and side-effects were evaluated using the Attitudes toward Neuroleptic Treatment scale. Overall symptomology was measured using the Brief Psychiatric Rating Scale (BPRS), the Health of the Nation Outcome Scale (HoNOS). The functioning was assessed using activities of daily living scale, instrumental activities of daily living scale and social functioning of daily living scale.

RESULTS

Self-reported treatment adherence was high. Of the patients, 83% reported using at least 75% of the prescribed medication. Having more symptoms was related with more negative attitude towards treatment. There was a modest association with functioning and treatment adherence and attitude toward antipsychotic treatment. Attitudes affected on adherence in non-clozapine but not in clozapine groups.

CONCLUSION

Early detection of non-adherence is difficult. Systematic evaluation of attitudes toward the treatment could be one way to assess this problem, along with optimized medication, prompt evaluation of side effects and flexible use of psychosocial treatments.

Prescriber Attitudes, Experiences, and Proclivities Toward Digital Medicine and How They Influence Adoption of Digital Medicine Platforms

BACKGROUND

Psychiatric prescribers (prescribers) typically assess medication adherence by patient or caregiver self-report. Despite likely clinical benefit of a new digital medicine technology, the role of specific prescriber attitudes, behaviors, and experiences in the likelihood of adoption is unclear.

OBJECTIVE

To identify prescriber characteristics that may affect adoption of the ingestible event marker (IEM) platform.

DESIGN

A survey of prescribers treating seriously mentally ill patients was conducted. Factor analysis was performed on 11 items representing prescriber characteristics believed to be related to endorsement of the IEM platform. Four factors were extracted. Regression analysis was used to test the strength of the relationships between the factors and likelihood of adoption of the IEM platform.

RESULTS

A total of 131 prescribers completed the survey. Most (84%) agreed that visits allow enough time to monitor adherence. Factor analysis revealed four underlying dimensions: 1) perspectives on the value of adherence; 2) concerns about measuring adherence; 3) views toward digital health technologies; and 4) views on payer role/reimbursement. Factors 1 and 3 were related to gender, the belief that computerization benefits prescribers, the presence of office support staff, and the belief that new digital medicine (DM) technology will be cost prohibitive. Willingness to adopt the IEM platform was related to gender (p < 0.05) and perspectives on the value of adherence (p < 0.05), with those scoring higher on that measure also being more likely to adopt.

CONCLUSION

Psychiatric prescribers are concerned about medication adherence, perceive current monitoring tools to be problematic, and are open to using digital technologies to improve accuracy of adherence assessment. Relationships among prescriber characteristics, beliefs, and experiences should be considered when developing educational materials, particularly when the goal is to encourage adoption and use of the IEM platform.

Rating Opportunity for Long-Acting Injectable Antipsychotic Initiation Index (ROLIN)

Background: Schizophrenia is a severe psychiatric condition with devastating consequences for the individual's functionality and leading to severe disability. Lack of insight and non-adherence to treatment remain the most important factors in the progression of the disease to chronicity. Despite their proven effectiveness in preventing relapses, reducing morbidity and mortality, long-acting injectable antipsychotics (LAIs) are still underused. One of the causes invoked is the lack of guidelines or protocols for initiating LAIs. Objective: The aim of this article is to present Rating Opportunity for Long-Acting Injectable Antipsychotic Initiation Index (ROLIN), a clinician-rated index that rates the important factors of the disorder across seven items: age, duration of illness, relapses, antipsychotic treatment response, family support, antipsychotic existing formulation and adherence. Method: A retrospective study in which all patients with schizophrenia discharged on oral antipsychotics without LAIs treatment lifetime were evaluated with ROLIN for opportunity for LAIs initiation. Results: Of 225 consecutive patients, 126 patients (56%) had a strong indication for initiating LAI (score between 25 and 35). Kolmogorov-Smirnov test was used for checking the normal distribution of values (95% CI for the mean = 9.5781 to 20.4219; 95% CI for the median = 6.5920 to 24.8161; SD = 9.7907; Coefficient of Skewness = 0.0743; Coefficient of Kurtosis = -1.1377). Conclusion: This paper proposed an instrument designed to improve treatment in schizophrenia using a simple conceptual model which integrates important predictors of good or poor outcomes.

Testing the hypothesis of subtypes of nonadherence in schizophrenia and schizoaffective disorder: A prospective study

BACKGROUND

Nonadherence is a major problem in the treatment of psychotic disorders. It has been hypothesized that nonadherent patients with schizophrenia are not a homogeneous population and subtypes of nonadherence might exist, but this hypothesis has not been specifically tested.

AIM

To test the hypothesis of subtypes of nonadherence in schizophrenia and schizoaffective disorder.

METHODS

This prospective study included 110 consecutively admitted patients diagnosed with schizophrenia or schizoaffective disorder. Assessments were performed at baseline and at 6 mo follow-up after discharge. Sociodemographic, clinical, psychopathological and treatment-related variables were evaluated. Adherence was defined as the concurrence of adherence to antipsychotic treatment and outpatient follow-up during the six-month period. Adherence to antipsychotic treatment was defined as the concurrence of objective and subjective adherence. Sixty-four patients (58%) fulfilled nonadherence criteria at the end of the follow-up period and were categorized according to their subtype of nonadherence.

RESULTS

In nonadherent patients (n = 64), 32 (50%) fulfilled criteria of intentional nonadherence, and 32 (50%) of unintentional nonadherence (UNA). Unintentional nonadherent patients, as compared to intentional nonadherent patients, are characterized by older age, lower educational level, worse cognitive and negative symptoms, greater severity, worse knowledge of their treatment regimen, greater prevalence of supervision of the treatment, lower number of prior hospitalizations and greater use of nonpsychiatric treatment, anticholinergics and hypnotics. Low educational level (OR = 26.1; 95%CI: 2.819-241), worse treatment knowledge at six months (OR per unit = 0.904; 95%CI: 0.853-0.957) and nonpsychiatric treatment at six months (OR = 15.8; 95%CI: 1.790-139) were independently associated to UNA.

CONCLUSION

Differentiated subtypes of nonadherence according to intentionality seem to exist in patients with schizophrenia and schizoaffective disorder. Our findings suggest the need for differentiated approach, both in future research and in clinical practice.

Design and Implementation of an Electronic Tool to Measure Medication Adherence at the Point of Care

Quality Improvement Success Stories are published by the American Diabetes Association in collaboration with the American College of Physicians and the National Diabetes Education Program. This series is intended to highlight best practices and strategies from programs and clinics that have successfully improved the quality of care for people with diabetes or related conditions. Each article in the series is reviewed and follows a standard format developed by the editors of Clinical Diabetes. The following article describes a project to build a point-of-care tool for assessing patients' adherence to their prescribed medications.

Trend survey on adverse event profiles of antipsychotic long-acting injections and oral agents using the Japanese adverse drug event report database

This study aims to assess the differences in adverse event profiles of long-acting injectable antipsychotics (LAIs) and oral antipsychotics (OAPs) using real-world data in the Japanese Adverse Drug Event Report database. Reporting odds ratios were determined using disproportionality analysis to estimate the risk of adverse events for LAIs and OAPs. Differences in adverse event profiles between formulations were determined after propensity score matching. Time-to-onset of adverse events was compared between LAIs and OAPs using the Weibull shape parameter. Signals were detected for approximately 50% of the adverse events (12 of 22) with LAIs and for the majority of adverse events (19 of 22) with OAPs. LAIs was associated with significantly lower reporting rate than OAPs for extrapyramidal symptom, neuroleptic malignant syndrome, and dystonia. For QT prolongation, convulsions, and hyperglycemia associated with LAIs, the 95% Confidence Interval of β included 1 in time-to-onset analysis. Real-world data suggest that LAIs tend to reduce the occurrence of extrapyramidal symptom and neuroleptic malignant syndrome, but a number of other adverse events have potential risks as well as OAPs. In addition, onset of adverse events with LAIs have been shown to be slightly delayed, requiring more careful long-term monitoring.

Adherence to clozapine vs. other antipsychotics in schizophrenia

BACKGROUND

To date, there have been no studies evaluating adherence to clozapine with electronic adherence monitoring (EAM) such as the Medication Event Monitoring System (MEMS^® ).

METHODS

In outpatients with schizophrenia, we conducted a 3-month prospective study investigating antipsychotic adherence with EAM (eCAP^® ). Participants were treated with different oral antipsychotics, including clozapine, and blind to EAM monitoring; all were on antipsychotic monotherapy administered once daily. Outcome measures included adherence rate, missed dose, and medication gap. Adherence trajectory patterns were also analyzed for clozapine vs. other antipsychotics collectively.

RESULTS

A total of 111 patients were included in the study; 33 and 78 patients received clozapine or other antipsychotics, respectively. Adherence rates, defined as proportion of days that the subject took the medication at the prescribed time ± 3 h and proportion of subjects with ≥80% adherence, were numerically higher in patients receiving clozapine vs. other antipsychotics (72.0% vs. 65.1%, P = 0.10; 49.5% vs. 35.7%, P = 0.11, respectively). Along similar lines, some of the missed dose and medication gap outcomes were significantly better in patients receiving clozapine vs. other antipsychotics. Three adherence trajectory patterns were identified for both clozapine and other antipsychotics, with two shared by both groups (i.e., low adherence with a slight decrease over time; high and stable adherence).

CONCLUSION

Findings suggest that in patients with schizophrenia clozapine adherence is at least comparable, if not slightly better, compared with other antipsychotics.

Adherence to Oral Antipsychotics Measured by Electronic Adherence Monitoring in Schizophrenia: A Systematic Review and Meta-analysis

BACKGROUND

Poor adherence to oral antipsychotics is common in patients with schizophrenia; nonetheless, there has been no systematic review or meta-analysis on medication adherence measured by electronic adherence monitoring (EAM), considered by many as the 'gold standard' assessment.

METHODS

We systematically searched MEDLINE and Embase to identify studies investigating adherence to oral antipsychotics using EAM in patients with schizophrenia spectrum disorder. There were no exclusion criteria. We looked at the methodology in each study and defined which type of adherence was used in the study. Data on medication adherence, definition of satisfactory adherence (i.e., the threshold set in terms of the percentage of times medication was taken as prescribed), and factors associated with adherence were extracted for the included studies. Further, data on the rates of medication adherence were quantitatively synthesized.

RESULTS

A total of 19 studies involving 2184 patients were included. EAM-measured medication adherence was classified into three outcome types: taking adherence, regimen adherence, and timing adherence. The meta-analysis yielded oral antipsychotic adherence rates (defined as a continuous variable) of 71.1% for taking adherence [from seven studies, n = 256, 95% confidence interval (CI) 58.0-84.1], 70.0% for regimen adherence (from five studies, n = 174, 95% CI = 63.6-76.4), and 64.9% for timing adherence (from four studies, n = 212, 95% CI 53.2-76.6), respectively. The proportions of patients with oral antipsychotic adherence, when defined as a dichotomous variable, ranged from 50 to 78.3% for the 70% threshold for satisfactory adherence, 29.8-75.7% for the 75% threshold, and 47.8-75.7% for the 80% threshold. Factors associated with poor medication adherence were greater symptom severity, more frequent dosing regimen, poorer insight, and more negative drug attitude.

CONCLUSIONS

Oral antipsychotic adherence rates in schizophrenia, defined as a continuous variable and measured by EAM, were in the range of 70%, lower than the 80% threshold used widely to define satisfactory adherence.

Applying the COM-B model to patient-reported barriers to medication adherence in pediatric acute lymphoblastic leukemia

BACKGROUND

Adherence to oral chemotherapy, including 6-mercaptopurine (6-MP), is suboptimal in pediatric acute lymphoblastic leukemia (ALL), which is associated with increased risk of relapse. Study objectives were to examine self-reported adherence to 6-MP and related barriers to adherence, mapped to the capability, opportunity, motivation, and behavior (COM-B) model for behavior change.

PROCEDURE

Forty-nine parents (median, 39 years old; 76% females) and 15 patients (median, 17 years old, 20% females) completed the study survey.

RESULTS

Suboptimal adherence was reported in 43% of parents and 73% of patients. Most parents and patients (80% and 90%, respectively) reported ≥1 adherence barrier. Parents reported difficulty helping their child meet others with ALL (43%), contacting community organizations (39%), and meeting other parents (37%). Patients reported difficulty finding out what their medications are (40%), finding out what 6-MP does (47%), and meeting other patients (40%). Using the COM-B, we found that parents and patients endorsed barriers in multiple components, especially physical (55%, 67%) and social opportunity (56%, 47%), highlighting that barriers to adherence may be multifaceted.

CONCLUSIONS

Our results suggest that parents and patients with ALL face various prevalent barriers to medication adherence and provide insight into the development of behavioral interventions focused on promoting adherence, which is essential to prevent relapse and optimize health outcomes in ALL.

A Multistakeholder-Centric Data Analytics Governance Framework for Medication Adherence and Improvement in Rural Settings

Good medication adherence is directly proportional to good health recovery and general improvement of a patient’s health condition. Although many good medication adherence monitoring methods/techniques exist, the level of medication adherence for some chronic diseases by patients in rural settings is still suboptimal. Hence, the need for healthcare organisations to devise viable governance frameworks that will facilitate effective medication adherence monitoring and improved adherence by patients. This paper presents the conceptual overview of a governance framework for medication adherence monitoring and improvement that enables the collaboration of multiple stakeholders and data analytics (MUCODAF) in support of the patient in the treatment journey. The framework allows relevant stakeholders such as Healthcare workers (HCW), family members, and close friends to collaborate in support of a patient through the engagement of critical human factors such as empathy, motivation, encouragement, flexibility, and negotiation. The use cases of the framework, its technical composition, and the implementation plan are discussed in this paper. A concrete example of the application of the governance framework for medication adherence monitoring and improvement for a Tuberculosis patient in the African Country of Lesotho is presented to highlight the plausibility of the framework.

Comparison of Different Adherence Measures in Adolescent Outpatients with Depressive Disorder

PURPOSE

Adolescent depression can have a chronic course; hence, the importance of adherence to antidepressant medication for successful treatment outcomes is emphasized. This study aimed to examine different adherence measures and identify clinical factors that influence adherence in adolescent depression.

PATIENTS AND METHODS

A prospective study was conducted for patients diagnosed with depressive disorder according to the Diagnostic and Statistical Manual of Mental Disorder, Fourth Edition from outpatient psychiatric settings at Korea University Medical Center, Guro Hospital. Patient demographics were obtained from a questionnaire, interview, and review of chart records. Adherence was assessed by four methods (Medication Event Monitoring System [MEMS], pill count, clinical rating scale, and patient's self-report). The Toronto Side Effect Scale was used to evaluate side effects, and specific depressive symptoms were assessed using the Hamilton Rating Scale for Depression and Childhood Depression Inventory-Korean version. The Multidimensional Scale of Perceived Social Support was administered to analyze social support, and the Parenting Stress Index-Short Form was used to evaluate parental stress levels. We used concordance correlation analysis to evaluate the relationship among the four adherence measures and the relationship between adherence level and clinical factors.

RESULTS

Overall, the study enrolled 48 outpatients (mean age 16.33±1.93 years). The mean duration of illness was 1.27±2.17 years. Adherence rates for MEMS, clinician rating scale, pill count, and self-report after conversion to dichotomous measures were 67.5%, 48.9%, 60.0%, and 56.3%, respectively. Only the duration of illness remained significantly correlated with MEMS (r = 0.510, p =0.001).

CONCLUSION

Pill count exhibited a higher degree of agreement with MEMS adherence than the other two adherence measures, possibly indicating that pill count may be a considerably reliable measure of adherence. Furthermore, MEMS adherence was positively correlated with disease duration, suggesting that the longer the duration of illness, the higher the adherence.

Patient characteristics, burden and pharmacotherapy of treatment-resistant schizophrenia: results from a survey of 204 US psychiatrists

BACKGROUND

Minimal/non-response to antipsychotic treatment, and persistent positive symptoms despite treatment, are common among patients with schizophrenia. The aim of this study was to characterize a US treatment-resistant schizophrenia (TRS) population in terms of patient demographics, burden of symptoms, treatment history, and factors influencing therapeutic choice.

METHODS

In an online survey, 204 psychiatrists self-selected and completed three patient records: two TRS and one schizophrenia ('non-TRS').

RESULTS

Respondents reported that 29.5% of their schizophrenia caseload had TRS. Selected TRS (n = 408) vs non-TRS (n = 204) patients were more likely to be unemployed (74.5% vs 45.1%, p < 0.001), hospitalized at least once (93.4% vs 74.0%, p < 0.001), and to have physical/psychiatric comorbidities including obesity (40.2% vs 23.5%, p < 0.001) and depression (38.7% vs 25.0%, p = 0.001). Psychiatric symptoms were more frequent and severe in TRS, and interfered more with social and functioning domains. Of positive symptoms, eliminating delusions and hallucinations was considered most important to improve a patient's long-term prognosis. In TRS, clozapine monotherapy was the most common treatment (15.9%), though ranked fifth of ten options to treat TRS. Psychiatrists typically increased the antipsychotic dose or added a second antipsychotic before initiating clozapine or switching antipsychotics. Antipsychotic switches were most commonly due to lack of efficacy (TRS = 71.4% vs non-TRS = 54.3%, p < 0.001) and intolerability (34.4% vs 38.4%, p = 0.22) with the prior antipsychotic. Persistent hallucinatory behavior was the top symptom leading to treatment switches in TRS (63.9% vs 37.1%, p < 0.001).

CONCLUSIONS

According to psychiatrists, symptoms have a greater clinical burden on patients with TRS than non-TRS. TRS is commonly managed by antipsychotic dose increases/combinations, with clozapine the fifth preference despite being the only approved TRS medication. New treatments are needed for patients who do not respond to available antipsychotics.

Technological Interventions for Medication Adherence in Adult Mental Health and Substance Use Disorders: A Systematic Review

BACKGROUND

Medication adherence is critical to the effectiveness of psychopharmacologic therapy. Psychiatric disorders present special adherence considerations, notably an altered capacity for decision making and the increased street value of controlled substances. A wide range of interventions designed to improve adherence in mental health and substance use disorders have been studied; recently, many have incorporated information technology (eg, mobile phone apps, electronic pill dispensers, and telehealth). Many intervention components have been studied across different disorders. Furthermore, many interventions incorporate multiple components, making it difficult to evaluate the effect of individual components in isolation.

OBJECTIVE

The aim of this study was to conduct a systematic scoping review to develop a literature-driven, transdiagnostic taxonomic framework of technology-based medication adherence intervention and measurement components used in mental health and substance use disorders.

METHODS

This review was conducted based on a published protocol (PROSPERO: CRD42018067902) in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses systematic review guidelines. We searched 7 electronic databases: MEDLINE, EMBASE, PsycINFO, the Cochrane Central Register of Controlled Trials, Web of Science, Engineering Village, and ClinicalTrials.gov from January 2000 to September 2018. Overall, 2 reviewers independently conducted title and abstract screens, full-text screens, and data extraction. We included all studies that evaluate populations or individuals with a mental health or substance use disorder and contain at least 1 technology-delivered component (eg, website, mobile phone app, biosensor, or algorithm) designed to improve medication adherence or the measurement thereof. Given the wide variety of studied interventions, populations, and outcomes, we did not conduct a risk of bias assessment or quantitative meta-analysis. We developed a taxonomic framework for intervention classification and applied it to multicomponent interventions across mental health disorders.

RESULTS

The initial search identified 21,749 results; after screening, 127 included studies remained (Cohen kappa: 0.8, 95% CI 0.72-0.87). Major intervention component categories include reminders, support messages, social support engagement, care team contact capabilities, data feedback, psychoeducation, adherence-based psychotherapy, remote care delivery, secure medication storage, and contingency management. Adherence measurement components include self-reports, remote direct visualization, fully automated computer vision algorithms, biosensors, smart pill bottles, ingestible sensors, pill counts, and utilization measures. Intervention modalities include short messaging service, mobile phone apps, websites, and interactive voice response. We provide graphical representations of intervention component categories and an element-wise breakdown of multicomponent interventions.

CONCLUSIONS

Many technology-based medication adherence and monitoring interventions have been studied across psychiatric disease contexts. Interventions that are useful in one psychiatric disorder may be useful in other disorders, and further research is necessary to elucidate the specific effects of individual intervention components. Our framework is directly developed from the substance use disorder and mental health treatment literature and allows for transdiagnostic comparisons and an organized conceptual mapping of interventions.

Mapping of modifiable barriers and facilitators of medication adherence in bipolar disorder to the Theoretical Domains Framework: a systematic review protocol

INTRODUCTION

People with bipolar disorder require long-term treatment but it is estimated that 40% of these people do not adhere to prescribed medication regimens. Non-adherence increases the risk of relapse, hospitalisation and suicide. Some evidence syntheses report barriers to mental health treatment adherence but rarely delineate between modifiable and non-modifiable barriers. They also fail to distinguish between the patients' perspective and that of other stakeholders such as clinicians despite of their different understanding and priorities about adherence. Facilitators of adherence, which are also important for informing adherence intervention design, are also lacking from syntheses and few syntheses focus on medications for bipolar disorder.This systematic review aims to identify modifiable barriers and facilitators (determinants) of medication adherence in bipolar disorder. We also plan to report determinants of medication adherence from perspectives of patients, carers, healthcare professionals and other third parties. A unique feature of this systematic review in the context of mental health is the use of the Theoretical Domains Framework (TDF) to organise the literature identified determinants of medication adherence.

METHODS AND ANALYSIS

The protocol adheres to Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols and ENhancing Transparency in REporting the synthesis of Qualitative research (ENTREQ) guidelines. This review will include both qualitative and quantitative primary studies exploring determinants of medication adherence in bipolar disorder. We will search the following databases using a preplanned strategy: CINAHL, Cochrane Library (CENTRAL), Embase, LiLACS, Medline, PsychINFO, PubMed without date restrictions. We will report the quality of included studies. We will use framework synthesis using the TDF as an a priori 'framework'. We will map the literature identified modifiable determinants to the domains of TDF.

ETHICS AND DISSEMINATION

Ethical approval is not required as primary data will not be collected. The results will be disseminated through a peer-reviewed publication.

PROSPERO REGISTRATION NUMBER

CRD42018096306.

Examining quality of care for individuals treated for mental health using the HEDIS mental health quality measures

Objective: This descriptive study examined the quality of care received by individuals with serious mental illness observed in clinical care using established Healthcare Effectiveness Data and Information Set (HEDIS) measures for individuals with serious mental illness.Methods: Administrative claims (Medicaid, Medicare, and commercial) from a national health and well-being company were used to identify adults with schizophrenia or bipolar disorder. Performance rates for five HEDIS mental health quality measures were computed. Sub-group analyses examined each HEDIS measure by those who were medication adherent vs non-adherent, and by typical vs atypical antipsychotics.Results: Eighty-nine percent of the Medicaid population received a diabetes screening (vs 79% for national benchmark Medicaid rates), 81% (vs 69%) received monitoring for diabetes, 88% (vs 79%) received monitoring for cardiovascular disease, 63% (vs 60%) were adherent with antipsychotic medication, and 34% (vs 61%) had a follow-up visit with a mental health practitioner within 30 days of a discharge. The rates for individuals with Medicare coverage were similar or marginally higher than those reported for those with Medicaid coverage, while rates for the commercially insured population were lower than the other groups.Conclusions: Most (>65%) individuals with serious mental illness received the recommended screening and monitoring for diabetes and cardiovascular disease. Barriers to and reasons for lack of follow-up should be investigated to guide future interventions to improve follow-up after hospitalization for individuals with serious mental illness.

Relationship between antipsychotic blood levels and treatment failure during the Clinical Antipsychotic Trials of Intervention Effectiveness (CATIE) study

OBJECTIVE

Antipsychotic blood levels (ABLs) may help identify patients at risk for treatment failure. Reference ranges (RR) for plasma concentrations of ABLs that account for between-patient variability were developed for risperidone and olanzapine based on population pharmacokinetic models. The Clinical Antipsychotic Trials of Intervention Effectiveness (CATIE) collected clinical outcomes and ABLs, allowing testing of the relationship of ABLs with outcomes.

METHODS

ABLs from 694 patients who were randomized to olanzapine or risperidone were compared to the 80% RRs and were assessed as below or within/above the RR. Treatment failure was defined per any of these criteria: (1) emergency room visit for psychiatric reasons, (2) hospitalization for psychiatric reasons, (3) adverse event of completed suicide, suicidal ideation, or suicide attempt, (4) assaultive behavior, (5) arrested or jailed, (6) 2-point increase from baseline in Clinical Global Impression-Severity score, (7) 25% increase in Positive and Negative Syndrome Scale total score. Patients assessed with treatment failure within 100 days of drug concentration measurement were analyzed.

RESULTS

Treatment failure occurred in 126 of 323 patients. The proportion of patients with ABLs below RR was 18.3% (59/323) compared to 10% expected in a fully adherent population. Among the 59 with ABLs below RR, 50.8% had treatment failure (compared to 36.4% for the 264 with ABLs within/above RR). The difference between groups was significant (odds ratio = 1.810; 95% CI = 1.025, 3.197; p = 0.0408).

CONCLUSIONS

Analysis of CATIE data showed that ABLs within the context of RRs may identify patients with higher risk of relapse.

Measuring adherence to antipsychotic medications for schizophrenia: Concordance and validity among a community sample in rural China

BACKGROUND

Despite the abundance of measures to assess medication adherence by persons suffering schizophrenia, few studies have evaluated their concordance and validity against a reference standard in resource-poor community settings. We explored the concordance and validity of several measures to assess antipsychotic medication adherence in a resource-poor community.

METHOD

Based on a random sample of 278 villagers diagnosed with schizophrenia from Liuyang, Hunan Province, China, we used a concordance correlation coefficient (rc) and Kappa statistic to assess agreement among pill counts, refill records, clinician rating, Drug Attitude Inventory (DAI), and the Brief Adherence Rating Scale (BARS). The validity of various measures was evaluated by their concordance and sensitivity/specificity to home-based unannounced pill count (UPC) as the reference standard.

RESULTS

The estimated proportion of adherent patients according to all measures (41% ~ 88%) was substantially higher than identified by UPC (35%). Concordance between any two measures was poor (rc/Kappa mostly <0.30). Validity of various measures also was poor against the UPC (rc < 0.20; Kappa <0.16), although refill records and the structured instruments (BARS) performed better than office-based pill counts and clinician impression. BARS, DAI and clinician rating were not sensitive to changes in adherence and would likely underestimate any program effect.

CONCLUSION

In resource-poor community settings, most measures assessed in this study should not be used alone as they overestimated adherence, underestimated program effect, and had poor validity. A combination of UPC and several other measures may provide more insight into clinical trials and programmatic management.

Use of antipsychotic blood levels in clinician decision making: A cross-over study using clinical vignettes of patients with schizophrenia

The cause of treatment failure of antipsychotic medications is often difficult to determine in patients with schizophrenia. Evaluation of antipsychotic blood levels (ABLs) may aid clinicians in determining the cause of antipsychotic failure. The Clinical Assessment of the Schizophrenia Patient (CASP) was developed to evaluate clinical decision making during outpatient visits. The CASP assesses changes in medications, psychosocial treatments, and acute interventions along with factors influencing clinical decision making. Nine vignettes representative of clinical situations in patients with schizophrenia were created in two versions (one with ABLs, one without ABLs). The CASP was used to evaluate clinical decisions using the vignettes. Thirty-four clinicians participated in the study. In 8 out of 9 vignettes, most clinicians (at least 89.7%) made a different clinical decision with ABLs compared to without ABLs. In assessing the usefulness of ABLs, a majority (60.7%-85.7%, depending on the vignette) of clinicians responded that ABLs changed their clinical decision for 8 vignettes. Most clinicians (79%-93%) responded that they were more confident in their decisions with ABL information. This study demonstrated that ABLs have the potential to influence clinical decision making in the treatment of patients with schizophrenia.

Predicting rehospitalization in patients treated with antipsychotics: a prospective observational study

BACKGROUND

Prediction of rehospitalization in patients treated with antipsychotics is important for identifying patients in need of additional support to prevent hospitalization. Our aim was to identify factors that predict rehospitalization in patients treated with antipsychotics at discharge from a psychiatric hospital.

METHODS

Adult patients suffering from schizophrenia, psychotic or bipolar I disorders who had been hospitalized in a psychiatric hospital for ⩾7 days and were treated with oral antipsychotics at discharge were included. The main outcome was rehospitalization within 6 months after discharge. A prediction model for rehospitalization was constructed including: patient/disease and medication characteristics, patients' beliefs about medicines, and healthcare-professional-rated assessment for all patients. The patients were stratified by diagnosis (schizophrenia and nonschizophrenia). Area under the receiver operating characteristic curve (AUC_ROC) was also assessed.

RESULTS

A total of 87 patients were included and 33.3% of them were rehospitalized within 6 months after discharge. The variables that predicted rehospitalization were duration of hospitalization, patients' attitude towards medicine use, and healthcare-professional-rated assessment with an AUC_ROC of 0.82. Rehospitalization for patients with schizophrenia could be predicted (AUC_ROC = 0.71) by the Global Assessment of Functioning score, age, and harm score. Rehospitalization was predicted (AUC_ROC = 0.73) for nonschizophrenia patients with, for example rehospitalization predicted by the nurse.

CONCLUSIONS

Rehospitalization was predicted by a combination of variables from the patient/disease and medication characteristics, patients' attitude towards medicine use, and healthcare-professional-rated assessment. These variables can be assessed relatively easily at discharge to predict rehospitalization within 6 months.

Evaluation of adherence patterns in schizophrenia using electronic monitoring (MEMS®): A six-month post-discharge prospective study

BACKGROUND

Medication Event Monitoring System (MEMS®) is considered the gold standard for the evaluation of medication adherence, yet few studies have applied this method, especially over long periods of time.

OBJECTIVE

To investigate medication adherence patterns in a sample of post-discharge patients with schizophrenia monitored with MEMS caps during a six-month period.

METHOD

Adherence to antipsychotics was prospectively investigated using MEMS among 68 patients with schizophrenia. Treatment initiation, implementation or whether or not the patient takes his dosing regimen as prescribed, persistence or the length of time between initiation and discontinuation, and treatment discontinuation were used to describe adherence. Persistence over time was described using Kaplan-Meier curves.

RESULTS

After discharge 16% of the patients never initiated treatment. On average 37.3% of patients adhered to treatment in the first 6months. However, a strong decrease in adherence was observed over time (p<0.0001), primarily due by treatment non-persistence. Only half of the patients were persistent at 6weeks, persistence further dropped to 19.0% after 6months. Among persistent patients, implementation was consistent over time with 87.8% of patients taking their medication as prescribed on any given day.

CONCLUSIONS

Dosing profile analysis provides further evidence for the magnitude of non-adherence with antipsychotic prescriptions among post-discharge patients with schizophrenia. Using the high precision of MEMS®, dosing profiles may provide a better understanding of non-adherence patterns and help clinicians determine optimal individualized strategies.

Psychological burden and caregiver-reported non-adherence to psychotropic medications among patients with schizophrenia

The study examined the association between psychological distress, caregiving burden and caregiver-reported medication adherence in 444 informal family caregivers of patients with schizophrenia. Participants were assessed on the Depression, Anxiety Stress Scale, Zarit Burden Interview and the Medication Adherence Report Scale. Caregivers reported a non-adherence rate of 54.5% among patients with schizophrenia. Poor adherence to antipsychotics was significantly associated with caregiver burden (p < 0.01) and experience of anxiety (p < 0.0001). The burden of caregiving should be considered during the assessment of adherence. The findings suggest a need for culturally appropriate interventions that improve antipsychotic adherence of outpatients with schizophrenia with specific attention to the burden of the caregiver.

Optimizing Antipsychotic Patient Management Using Population Pharmacokinetic Models and Point-of-Care Testing

Schizophrenia is a common disease, characterized by progressive functional decline exacerbated by psychotic relapses that often result from a lack of full adherence to antipsychotic (APS) medication. Although atypical APS medications do not have clear therapeutic windows, as generally required for therapeutic drug monitoring (TDM), measuring APS plasma levels in the context of a population expected range at the point‐of‐care (POC) may provide valuable clinical insights for differentiating lack of efficacy from a lack of adherence to medication.

Measuring Medication Adherence in Patients With Schizophrenia: An Integrative Review

PURPOSE

The purpose of this paper is to assess the validity, reliability and levels of evidence of existing instruments for measuring medication adherence in patients with schizophrenia.

BACKGROUND

Schizophrenia is estimated to affect approximately 7 individuals out of 1000 in their lifetimes, with fifty percent of patients attempting suicide. However studies have shown that measuring medication adherence in patients with schizophrenia is difficult and no gold standard currently exists. Without reliable and valid instruments to evaluate non-adherence in this population, research into strategies to improve adherence cannot move forward.

DATA SOURCES

This integrative review used the following search terms: assessing, measuring, medication adherence, schizophrenia, medication non-adherence, validity, reliability and measures. Databases searched included CINAHL, PubMed, PsycINFO and Scopus). Studies were included if they were published from 2000 to 2016. Fourteen instruments were identified from six studies and were included in this review.

RESULTS

All the instruments assessed were weak in both validity and reliability coupled with having low levels of evidence. Three instruments (two are fairly new) yielded better validity, reliability and sensitivity; however they have not been assessed in broad, diverse samples, so their generalizability remains unclear.

CONCLUSION

This study suggests the need to develop an instrument with adequate validity, reliability, and sensitivity to various patients' characteristics.

Medication Adherence Among Adolescents with Bipolar Disorder

OBJECTIVE

To examine medication adherence and associated factors among adolescents with bipolar disorder (BP) using both objective and subjective methods.

METHOD

Participants were 21 adolescents with a primary BP diagnosis recruited from a pediatric specialty clinic. All participants were prescribed at least one psychotropic medication. Self- and parent-reported adherence were assessed monthly over 6 months. Objective data on medication adherence were gathered through an electronic weekly pillbox. Demographic and clinical factors were assessed through self, parent, and physician ratings at baseline, 3, and 6 months.

RESULTS

Objective data indicate 41.5% of doses (58.6% of days) were not taken as prescribed over a mean of 3 months of follow-up. Subjective reports (patient, parent, and physician) significantly overestimated adherence as compared with objective data. Factors from multiple domains were associated with poorer adherence, including more daily doses, higher weight, dose timing (poorer on mornings/afternoons and weekends), less temporal proximity to medication management appointment, greater self-reported cognitive difficulties with adhering to treatment; the most potent predictor of missed doses was greater overall illness severity.

CONCLUSIONS

Findings provide further evidence of poor medication adherence among youth with BP, and highlight the limits of subjective report of adherence. Providers should give careful attention to adherence when making decisions regarding treatment response and changes to medication regimen when working with youth with BP.

Adherence to Medication Regimen in Patients with Severe and Chronic Psychiatric Disorders: A Qualitative Study

Nonadherence to treatment is common in patients with chronic psychiatric disorders. Few studies have been conducted in Iran on lack of adherence to medication regimen in patients with severe psychiatric disorders. The present study was carried out with the purpose of gaining insight into the experiences of patients, their family members, and nurses on the medication adherence in patients with severe and chronic psychiatric disorders in selected hospitals in Ahvaz, Iran. A qualitative content analysis study was used in the study and the participants included 7 nurses, 5 patients, and 4 family members. The patients were being treated in psychiatric wards of the hospitals of Ahvaz, in southern Iran. The results of data analysis revealed three main themes: 1) Intentional abandonment of medications; 2) Catalysts of medication discontinuation (including side effects, asymptomatic periods, lack of knowledge of family members, and cultural shame of medication use); and 3) Consequences of medication discontinuation. According to the findings of the study, cultural attitudes play an important role in adherence to treatment regimen among the patients with chronic psychiatric disorders. It is recommended to arrange different programs to improve the situation with an emphasis on improving the general attitude of society towards mental illnesses and the need for regular use of the medications.

Medication Adherence in Patients with Bipolar Disorder: A Comprehensive Review

Poor medication adherence is a pervasive problem that causes disability and suffering as well as extensive financial costs among individuals with bipolar disorder (BD). Barriers to adherence are numerous and cross multiple levels, including factors related to bipolar pathology and those unique to an individual's circumstances. External factors, including treatment setting, healthcare system, and broader health policies, can also affect medication adherence in people with BD. Fortunately, advances in research have suggested avenues for improving adherence. A comprehensive review of adherence-enhancement interventions for the years 2005-2015 is included. Specific bipolar adherence-enhancement approaches that target knowledge gaps, cognitive patterns, specific barriers, and motivation may be helpful, as may approaches that capitalize on technology or novel drug-delivery systems. However, much work remains to optimally facilitate long-term medication adherence in people with BD. For adherence-enhancement approaches to be widely adapted, they need to be easily accessible, affordable, and practical.

Qualitative investigation into a wearable system for chronic obstructive pulmonary disease: the stakeholders' perspective

OBJECTIVES

To ascertain the stakeholders' views and devise recommendations for further stages of the Wearable Sensing and Smart Cloud Computing for Integrated Care to Chronic Obstructive Pulmonary Disease (COPD) Patients with Co-morbidities (WELCOME) system development. This system aims to create a wearable vest to monitor physiological signals for patients concerned incorporating an inhaler adherence monitoring, weight, temperature, blood pressure and glucose metres, and a mobile health application for communication with healthcare professionals (HCPs).

DESIGN

A study of qualitative data derived from focus groups and semistructured interviews.

SETTING

4 participating clinical sites in Greece, the UK, Ireland and the Netherlands.

PARTICIPANTS

Purposive sampling was used to recruit 32 patients with COPD with heart failure, diabetes, anxiety or depression, 27 informal carers and 23 HCPs from 4 European Union (EU) countries for focus groups and interviews.

RESULTS

Most patients and HCPs described the WELCOME system as 'brilliant and creative' and felt it gave a sense of safety. Both users and HCPs agreed that the duration and frequency of vest wear should be individualised as should the mobile application functions. The parameters and frequency of monitoring should be personalised using a multidisciplinary approach. A 'traffic light' alert system was proposed by HCPs for abnormal results. Patients were happy to take actions in response.

CONCLUSIONS

WELCOME stakeholders provided valuable views on the development of the system, which should take into account patient's individual comorbidities, circumstances and concerns. This will enable the development of the individualised system in each member state concerned.

Comparison of Capillary and Venous Plasma Drug Concentrations After Repeated Administration of Risperidone, Paliperidone, Quetiapine, Olanzapine, or Aripiprazole

Quantification of blood levels of antipsychotic drugs may be useful for managing medication therapy. This open‐label, parallel‐group study was performed to compare finger‐stick‐based capillary with corresponding venous plasma concentrations for risperidone, paliperidone, quetiapine, olanzapine, and aripiprazole and their major metabolites after repeated dosing in patients with schizophrenia or related illnesses. Finger‐stick‐based capillary and venous blood samples were collected at various times within a dosing interval. All drug concentration measurements in the derived plasma samples were performed with validated liquid chromatography–tandem mass spectrometry methods. Finger‐stick‐based capillary and venous plasma drug concentrations after repeated dosing were generally similar. Olanzapine capillary plasma concentrations, however, were on average approximately 20% higher than venous concentrations, with a trend for a relatively greater difference occurring shortly after dosing. In addition, smaller capillary–venous differences were observed for extended‐release and long‐acting intramuscular formulations and for aripiprazole, a drug with a long half‐life, compared with drugs administered as an immediate‐release formulation (risperidone, olanzapine). After repeated dosing, plasma derived from finger‐stick‐based blood was observed to be predictive of the venous concentrations. Capillary sampling may be an appropriate alternative to venous sampling to readily evaluate systemic drug concentrations.

A scoping review of studies comparing the medication event monitoring system (MEMS) with alternative methods for measuring medication adherence

Different methods are available for measuring medication adherence. In this paper, we conducted a scoping review to identify and summarize evidence of all studies comparing the Medication Event Monitoring System (MEMS) with alternative methods for measuring medication adherence. A literature search was performed using the open database www.iAdherence.org that includes all original studies reporting findings from the MEMS. Papers comparing methods for measuring adherence to solid oral formulations were included. Data was extracted using a standardized extraction table. A total of 117 articles fulfilled the inclusion criteria, including 251 comparisons. Most frequent comparisons were against self-report (n = 119) and pill count (n = 59). Similar outcome measures were used in 210 comparisons (84%), among which 78 used dichotomous variables (adherent or not) and 132 used continuous measures (adherence expressed as percentage). Furthermore, 32% of all comparisons did not estimate adherence over the same coverage period and 44% of all comparisons did not use a statistical method or used a suboptimal one. Only eighty-seven (35%) comparisons had similar coverage periods, similar outcome measures and optimal statistical methods. Compared to MEMS, median adherence was grossly overestimated by 17% using self-report, by 8% using pill count and by 6% using rating. In conclusion, among all comparisons of MEMS versus alternative methods for measuring adherence, only a few used adequate comparisons in terms of outcome measures, coverage periods and statistical method. Researchers should therefore use stronger methodological frameworks when comparing measurement methods and be aware that non-electronic measures could lead to overestimation of medication adherence.

Association between Medication Adherence and Duration of Outpatient Treatment in Patients with Schizophrenia

OBJECTIVE

Medication adherence is important in the treatment of schizophrenia, and critical periods during treatment may be associated with relapse. However, the relationship between adherence and duration of outpatient treatment (DOT) remains unclear. The authors aimed to clarify the relationship between adherence and DOT at a psychiatric hospital in Japan.

METHODS

For outpatients with schizophrenia who regularly visit Shin-Abuyama hospital, the authors conducted a single questionnaire survey (five questions covering gender, age, DOT, medication shortages, and residual medication) over one month period. Participants were divided into two groups whether DOT were from more than one year to within five years or not. Mantel-Haenszel analysis and logistic regression analysis were performed on the data regarding the medication adherence.

RESULTS

Effective answers were received for 328 patients. The residual medication rate was significantly higher among those receiving outpatient treatment from more than one year to within five years than five years than those receiving outpatient treatment for more than five years or less than one year (p=0.016).

CONCLUSION

This survey suggests that there are critical periods during which patients are most prone to poor adherence. Because poor adherence increases the risk of relapse, specific measures must be taken to improve adherence during these periods.

Addressing Nonadherence in the Schizophrenic Population

Nonadherence within the schizophrenic population is a challenge for both the patient and the clinician. This problem not only causes an increase in health care use and cost but also places the patient at risk of relapse and dissatisfaction with medical care. Nonadherence is influenced by several factors including disease, treatment, and psychological and social factors. All of these factors must be addressed if the clinician hopes to reduce nonadherence within this patient population. This article will attempt to identify factors that contribute to nonadherence and review strategies that can be implemented to address each of these factors.

Comparison of methods to assess psychiatric medication adherence in methadone-maintained patients with co-occurring psychiatric disorder

BACKGROUND

Adherence with psychiatric medication is a critical issue that has serious individual and public health implications. This is a secondary analysis of a large-scale clinical treatment trial of co-occurring substance use and psychiatric disorder.

METHOD

Participants (n=153) who received a clinically-indicated psychiatric medication ≥30 days during the 12-month study and provided corresponding data from Medication Event Monitoring System (MEMS) and Morisky Medication Taking Adherence Scale (MMAS) self-report adherence ratings were included in the analyses. Accuracy in MEMS caps openings was customized to each participant's unique required dosing schedule.

RESULTS

Consistent with expectations, MEMS-based adherence declined slowly over time, though MMAS scores of forgetting medication remained high and did not change over the 12-month study. MEMS caps openings were not significantly impacted by any baseline or treatment level variables, whereas MMAS scores were significantly associated with younger age and presence of an Axis I disorder and antisocial personality disorder, or any cluster B diagnoses.

CONCLUSIONS

Results suggest that MEMS caps may be a more objective method for monitoring adherence in patients with co-occurring substance use and psychiatric disorder relative to the MMAS self-report. Participants in this study were able to successfully use the MEMS caps for a 12-month period with <1% lost or broken caps, suggesting this comorbid population is able to use the MEMS successfully. Ultimately, these data suggest that an objective method for monitoring adherence in this treatment population yield more accurate outcomes relative to self-report.