Insights into insurance coverage for digital therapeutics: A qualitative study of US payer perspectives.

BACKGROUND: In the last decade there has been an increase in the development and marketing of digital therapeutic (DTx) products aiming to prevent, manage, or treat a medical disorder or disease. Health insurance coverage for these products is not well established, and payers are facing increasing pressure to include these products as a covered benefit. OBJECTIVE: To examine factors and characteristics that could drive health insurance coverage of DTx products from US payers' and coverage decision-makers' perspectives. METHODS: This was a qualitative noninterventional, cross-sectional study conducted from August 2022 to October 2022. Virtual focus group meetings with pharmacy benefit managers/directors or medical directors representing a range of health insurance organizations were held following a semistructured interview guide. Convenience and snowball sampling techniques were used to identify participants. Transcripts were coded and analyzed with Atlas.ti software to identify common themes and subthemes. RESULTS: Five focus group meetings and 1 individual interview were held from August to October 2022. Participants (n = 22) were mostly pharmacists (n = 18, 85%) with more than 15 years of experience (n = 18, 85%). Some participants indicated that DTx products for diabetes (n = 6, 29%), mental/behavioral health (n = 3, 14%), and substance abuse disorders (n = 3, 14%) were already covered by their organizations. The topics generating the most comments grouped by code were issues around the evidence for DTx (67 unique comments) and barriers for coverage (60 unique comments). Participants indicated they want to have evidence of effectiveness that is similar to traditional pharmaceutical products. Barriers for coverage included a need to revise benefit policies, exclusion of nonprescription products, and mechanisms for billing. DTx products with an indication for mental/behavioral health were viewed as most likely to be reimbursed. Coverage of DTx products may occur under either the pharmacy or medical benefit. CONCLUSIONS: Health care payers stated that evidence of effectiveness was a necessary condition for health insurance coverage of DTx products. Given these are relatively new in health care, payers had more questions than answers regarding how these products will be integrated into health benefits.

Understanding Patients' Experiences with Borderline Personality Disorder: Qualitative Interviews.

Background: Patient perspectives of living with borderline personality disorder (BPD) are not traditionally captured in the literature. To overcome this gap, we explored participants' experiences with BPD to gain a better understanding of symptoms and impacts related to the condition. Methods: Two experienced researchers conducted semistructured interviews with a subset of participants from a randomized controlled trial evaluating a BPD treatment. The interview study was independent from the trial. Interviews focused on participants' experiences with BPD prior to the trial, including the symptoms and impacts of BPD. Interview transcripts were analyzed to identify dominant trends and generate patterns in the way participants described their experiences with BPD. Results: A total of 50 adults with BPD participated in the interview study. The mean age of the participants was 28.5 years (range, 18-53 years) and 72.0% were female. All participants described having difficulties with extreme emotional responses and interpersonal relationships, and most participants reported experiencing issues with self-image, impulsivity, suspiciousness/distrust, feelings of emptiness, and anger. The symptoms that were most bothersome to participants were extreme moods or emotional responses and a pattern of unstable personal relationships. All participants remarked that their BPD-related symptoms negatively impacted their interpersonal relationships, and nearly two-thirds of the sample reported that the impact of BPD on their relationships was the most bothersome. Additionally, more than half of the participants discussed impacts on work or school, memory or thinking, self-care, and financial and legal issues. Conclusion: Participants reported that the most bothersome symptoms of BPD were those related to extreme moods or emotional responses and interpersonal relationships. Participants similarly described the impact of BPD on their interpersonal relationships as the most bothersome. Overall, participant perspectives from this study indicate that the burden of BPD is significant and new treatments tailored to patients' real-world needs are warranted.

Beyond clinical outcomes: Case control study of the role of race in disruptive life events for people with serious mental illness.

OBJECTIVE: To understand how race and serious mental illness (SMI) interact for disruptive life events defined as financial (bankruptcy and judgement filings), and non-financial (arrests). METHODS: Patients were adults with schizophrenia (SCZ; N = 16,159) or bipolar I disorder (BPI; N = 30,008) matched 1:1 to patients without SMI (non-SMI) from health systems in Michigan and Southern California during 1/1/2007 through 12/31/2018. The main exposure was self-reported race, and the outcome was disruptive life events aggregated by Transunion. We hypothesized that Black patients with SCZ or BPI would be the most likely to experience a disruptive life event when compared to Black patients without SMI, and all White or Asian patients regardless of mental illness. RESULTS: Black patients with SCZ had the least likelihood (37% lower) and Asian patients with BPI had the greatest likelihood (2.25 times higher) of experiencing a financial disruptive life event among all patients in the study. There was no interaction of race with either SCZ or BPI for experiencing an arrest. The findings did not support our hypotheses for patients with SCZ and partially supported them for patients with BPI. CONCLUSIONS: Clinical initiatives to assess social determinants of health should consider a focus on Asian patients with BPI.

Assessment of Disruptive Life Events for Individuals Diagnosed With Schizophrenia or Bipolar I Disorder Using Data From a Consumer Credit Reporting Agency.

Importance: There is a dearth of population-level data on major disruptive life events (defined here as arrests by a legal authority, address changes, bankruptcy, lien, and judgment filings) for patients with bipolar I disorder (BPI) or schizophrenia, which has limited studies on mental health and treatment outcomes. Objective: To conduct a population-level study on disruptive life events by using publicly available data on disruptive life events, aggregated by a consumer credit reporting agency in conjunction with electronic health record (EHR) data. Design, Setting, and Participants: This study used EHR data from 2 large, integrated health care systems, Kaiser Permanente Southern California and Henry Ford Health. Cohorts of patients diagnosed from 2007 to 2019 with BPI or schizophrenia were matched 1:1 by age at analysis, age at diagnosis (if applicable), sex, race and ethnicity, and Medicaid status to (1) an active comparison group with diagnoses of major depressive disorder (MDD) and (2) a general health (GH) cohort without diagnoses of BPI, schizophrenia, or MDD. Patients with diagnoses of BPI or schizophrenia and their respective comparison cohorts were matched to public records data aggregated by a consumer credit reporting agency (98% match rate). Analysis took place between November 2020 and December 2022. Main Outcomes and Measures: The differences in the occurrence of disruptive life events among patients with BPI or schizophrenia and their comparison groups. Results: Of 46 167 patients, 30 008 (65%) had BPI (mean [SD] age, 42.6 [14.2] years) and 16 159 (35%) had schizophrenia (mean [SD], 41.4 [15.1] years). The majoriy of patients were White (30 167 [65%]). In addition, 18 500 patients with BPI (62%) and 6552 patients with schizophrenia (41%) were female. Patients with BPI were more likely to change addresses than patients in either comparison cohort (with the incidence ratio being as high as 1.25 [95% CI, 1.23-1.28]) when compared with GH cohort. Patients with BPI were also more likely to experience any of the financial disruptive life events with odds ratio ranging from 1.15 [95% CI, 1.07-1.24] to 1.50 [95% CI, 1.42-1.58]). The largest differences in disruptive life events were seen in arrests of patients with either BPI or schizophrenia compared with GH peers (3.27 [95% CI, 2.84-3.78] and 3.04 [95% CI, 2.57-3.59], respectively). Patients with schizophrenia had fewer address changes and were less likely to experience a financial event than their matched comparison cohorts. Conclusions and Relevance: This study demonstrated that data aggregated by a consumer credit reporting agency can support population-level studies on disruptive life events among patients with BPI or schizophrenia.

Life Engagement Improvement Following Initiation of Brexpiprazole Treatment in Patients with MDD: A Naturalistic, Retrospective Real-World Study.

Purpose: Life engagement encompasses concepts such as life fulfillment, well-being, and participation in meaningful activities, encompassing cognitive, physical, social, and emotional dimensions. Patients with MDD experience impaired functioning across multiple domains of life engagement and have ranked concepts related to life engagement and fulfillment as important predictors of treatment success. Post-hoc analyses of three clinical trials of patients with MDD treated adjunctively with brexpiprazole have reported a significantly greater improvement in life engagement. This study investigated improvements in life engagement among patients with MDD following initiation of brexpiprazole treatment using a real-world dataset. Patients and Methods: Information was extracted from semi-structured clinical notes of the Mental Status Examination (MSE) of patients in a real-world setting to develop an outcome measure for quantifying life engagement of psychiatric patients. Measures of life engagement and its four sub-domains (emotional, physical, social, and cognitive) were calculated at each clinical visit for 624 adult patients with MDD during the 6 months following brexpiprazole initiation. Paired t-tests assessed differences between the index event and time periods within 6 months of the index event. Kaplan-Meier survival analyses were used to quantify the improvement in life engagement scores following brexpiprazole initiation. Results: The study identified 54 clinical features associated with life engagement. Statistically significant improvements were observed from as early as 1 month following brexpiprazole initiation, with 20.6%, 37.9%, and 53.9% of the patients demonstrating improved life engagement scores within 1, 3, and 6 months, respectively. The improvements were particularly apparent for the emotional and social sub-domains. Conclusion: The results of this study provide evidence of improved life engagement following brexpiprazole initiation in a real-world dataset.

The effects of early initiation of aripiprazole once-monthly on healthcare resource utilization and healthcare costs in individuals with schizophrenia: real-world evidence from US claims data.

AIM: To evaluate the impact of timing of aripiprazole once-monthly (AOM) initiation on healthcare resource utilization (HCRU), risk of hospitalization, and healthcare costs in patients with schizophrenia. METHODS: A retrospective cohort study was conducted using data from the Merative MarketScan database (01/01/2013-12/31/2019). Adults aged ≥18 years with a new episode of care for schizophrenia and an AOM claim were included. Patients were classified into two cohorts based on the time between the first schizophrenia diagnosis and the first AOM claim (early cohort: ≤1 year; late cohort: >1 year). All-cause and psychiatric-specific HCRU, risk of hospitalization, and healthcare costs were evaluated over 1-year post-AOM initiation. The relationship between the timing of AOM initiation and HCRU was evaluated using negative binomial regression, and healthcare costs using generalized linear models (log-link with gamma distribution). Logistic regression was used to estimate the likelihood of hospitalization during the follow up period for both all-cause and psychiatric-specific hospitalization. RESULTS: A total of 945 patients were included (early cohort: n = 525; late cohort: n = 420). At baseline, the early cohort had lower mean age, a greater proportion of males, and a lower mean Charlson Comorbidity Index score than the late cohort (all p < .05). After adjusting for baseline demographic and clinical characteristics, all-cause and psychiatric-specific hospitalization during the 1-year follow-up period were statistically significantly higher for the late cohort versus the early cohort (all-cause: incident rate ratio [IRR] = 1.63, 95% confidence interval [CI]: 1.28-2.07, p < .01; psychiatric-specific: IRR = 1.93, 95% CI: 1.46-2.55, p < .01). The early cohort had statistically significantly lower adjusted all-cause ($21,686 versus $29,033; p = .0002) and psychiatric-specific ($24,414 versus $32,461; p = .0002) healthcare costs versus the late cohort. LIMITATIONS: This study utilized claims data, which are intended for administrative purposes rather than for research. CONCLUSIONS: This analysis extends previous evidence for the benefits of AOM in patients with new episodes of schizophrenia, by demonstrating lower HCRU, risk of hospitalization, and healthcare costs with early AOM initiation compared with later initiation.

Schizophrenia is a costly disease that impacts patients, caregivers, and the healthcare system. Antipsychotic medications are an important component of schizophrenia treatment. These medications reduce symptom severity, improve functioning and reduce costs. Aripiprazole once-monthly (AOM) is a long-acting injectable antipsychotic used to treat schizophrenia. This study evaluates whether starting AOM early in the disease course improves outcomes for people with schizophrenia. Outcomes include healthcare resource utilization, risk of hospitalization, and healthcare costs. The study team found that hospitalization and costs were lower for people who started AOM early in the disease course as opposed to later. This study points to the importance of early treatment to improve outcomes for people with schizophrenia.

Treatment patterns and clinical outcomes among Medicare beneficiaries using antipsychotic medications for FDA-approved indications before and after transitioning from the community to a nursing home.

OBJECTIVES: This study examines the relationships between changes in antipsychotic medication (AP) use and acute clinical events (identified with administrative claims data) for patients with FDA-approved indications for APs following transition from the community (e.g. home) to a nursing home (NH) in a Medicare population. METHODS: A retrospective analysis was conducted using 100% Medicare fee-for-service (FFS) research identifiable files (RIF) claims data (2016-2018). Medicare beneficiaries with a condition for which APs are approved by the FDA were examined using logistic regression models to determine whether changes in AP use following transition from community to NHs were correlated with the likelihood of experiencing acute clinical events. RESULTS: We identified 38,448 Medicare FFS beneficiaries meeting our study criteria. A change in AP use after transition to a NH did not have a statistically significant association with acute skeletal events, coronary artery events, or cerebrovascular events (p = .55, p = .69, and p = .59, respectively). CONCLUSIONS: Between 2016 and 2018, Medicare FFS patients with approved-use indications for APs had lower average AP use following transition to a NH. Changes in the use of other medications of interest largely followed a similar pattern, indicating that these medications did not tend to be used as substitutions for APs. No clear relationship exists between increases or decreases in AP use and adverse events among NH residents who used APs and had FDA-approved conditions in the community setting.

Psychiatric healthcare resource utilization following initiation of aripiprazole once-monthly: a retrospective real-world study.

OBJECTIVES: This observational retrospective real-world study examined changes in healthcare resource utilization (HCRU) pre- and post-initiation of aripiprazole once-monthly (AOM 400) in patients with schizophrenia or bipolar I disorder. METHODS: Electronic health record-derived, de-identified data from the NeuroBlu Database (2013-2020) were used to identify patients ≥18 years with schizophrenia (n = 222) or bipolar I disorder (n = 129) who were prescribed AOM 400, and had visit data within 3, 6, 9, or 12 months pre- and post-initial AOM 400 prescription. Rates of inpatient hospitalization, emergency department visits, inpatient readmissions, and average length of stay were examined and compared over 3, 6, 9, and 12 months pre-/post-AOM 400 using a McNemar test. RESULTS: Statistically significant differences were seen in both schizophrenia and bipolar I disorder patient cohorts pre- and post-AOM 400 in inpatient hospitalization rates (p < .001 all time points, both cohorts) and 30-day readmission per patient rates (p < .001 all time points, both cohorts). Statistically significant improvement in mean length of stay was observed in both cohorts at all time points, except for at six months in patients with schizophrenia. Emergency department visit rates were significantly lower after AOM 400 initiation for both cohorts at all time points (p < .001). CONCLUSIONS: A reduction in the rate of hospitalizations, emergency department visits, 30-day readmissions, and average length-of-stay was observed for patients diagnosed with either schizophrenia or bipolar I disorder, which suggests a positive effect of AOM 400 treatment on HCRU outcomes and is supportive of earlier analyses from different data sources.

Mental Health Care Provider's Perspectives Toward Adopting a Novel Technology to Improve Medication Adherence.

Objective: To understand perspectives of mental health care providers regarding barriers and drivers of adopting a medication ingestible event monitoring (IEM) system in clinical practice. Methods: Between April and October 2019, a cross-sectional, online survey was conducted among 131 prescribing clinicians and 119 non-prescribing clinicians providing care to patients with major depressive disorder, bipolar disorder, and schizophrenia. Results: Most prescribing clinicians were physicians (79.4%) while most non-prescribing clinicians (52.9%) were licensed clinical social workers, followed by counselors (30.8%), clinical psychologists (13.4%), and case managers (2.5%). Most respondents (93.2%) reported that clinicians can influence adherence, that the IEM technology was in their patients' best interest (63.6%), and a willingness to beta test the technology (54.8%). Support was positively associated with prescribing clinicians (OR: 2.2; 95% CI: 1.1, 4.5), belief that antipsychotics reduce the health, social, or financial consequences of the condition (OR: 3.8; 95% CI: 1.3, 11.0), concern for patients' well-being without monitoring (OR: 3.3; 95% CI: 1.2, 8.7), and belief the technology will enhance clinical alliance (OR: 3.1; 95% CI: 1.5, 6.3) or improve patient engagement (OR: 3.0; 95% CI: 1.5, 6.2). Support was inversely related to concerns about appropriate follow-up actions (OR: 0.4; 95% CI: 0.2, 0.9) and responsibilities (OR: 0.3; 95% CI: 0.1, 0.8) when using the technology. Conclusions: Our results suggest that IEM sensor technology adoption will depend upon additional evidence that patients will actively engage in the use of the technology, will benefit from the technology through improved outcomes, and that the additional burden placed upon providers is minimal compared to the potential benefit.

Readmissions, costs, and duration to subsequent outpatient visit after hospital discharge among Medicaid beneficiaries utilizing oral versus long-acting injectable antipsychotics in bipolar disorder or schizophrenia.

BACKGROUND: Long-acting injectable antipsychotics (LAIs) may reduce hospitalizations versus oral formulations (OAP) in bipolar disorder (BP) and schizophrenia/schizoaffective disorder (SCZ), but the impact on time to outpatient follow-up is less understood. OBJECTIVES: To assess hospital readmissions and medical costs among Medicaid beneficiaries with BP or SCZ utilizing OAP or LAI SGAs. METHODS: Cross-sectional and longitudinal analyses utilized comprehensive administrative claims of Oklahoma Medicaid beneficiaries (≥18 years) with BP or SCZ between 1 January 2013 and 31 December 2017. Readmissions, total direct medical costs, and psychiatry-related outpatient visits were assessed via generalized linear models and generalized estimating equations, controlling for demographic and clinical covariates. RESULTS: Among 2523 included members, LAI utilization was associated with 1.50 and 1.73 times higher odds of any hospitalization and any readmission, respectively (p < .05). Cases involving both BP and SCZ were associated with a 2.40 times higher odds of any readmission, 2.26 times higher number of readmissions, and 24.5% higher costs (p < .001). Of the 468 members with a subsequent psychiatry-related outpatient visit, LAIs were associated with a 23.9% shorter duration to outpatient visit and 16.4% lower costs (p < .05). CONCLUSION: In contrast to prior studies, this real-world investigation noted higher hospitalizations and readmissions among LAIs relative to OAP medications, but among members with a hospitalization or ED visit, LAIs were associated with shorter durations to outpatient visits and lower costs. Those with diagnoses of both BP with SCZ had higher odds of any readmission, number of readmissions, and costs relative to those with bipolar disorder alone and may be a key target for interventions.

This study compared long-acting antipsychotics that were administered by injection (LAIs) to antipsychotic agents taken orally (OAPs) among Medicaid members with bipolar disorder and/or schizophrenia. Readmission to the emergency department (ED) or hospital (within 30 days of a previous visit) and costs were observed to be similar with LAIs relative to OAPs. Among members who went to the hospital, a shorter time to psychiatric follow-up outpatient visit and lower costs were observed among those taking LAIs relative to OAPs.

Antipsychotic-Related Stigma and the Impact on Treatment Choices: A Systematic Review and Framework Synthesis.

BACKGROUND: Antipsychotics are a class of medications primarily used to treat individuals with psychotic disorders. They have also been indicated for patients with other psychiatric conditions, such as post-traumatic stress disorder and major depressive disorder. Non-adherence is prominent amongst individuals prescribed antipsychotics, with medication-related self-stigma and social stigma identified as major factors. No previous reviews have focused on stigma associated specifically with antipsychotic medication. This systematic literature review aimed to synthesise evidence on the prevalence of stigmatising attitudes and behaviours related to antipsychotic treatment and understand their impact on antipsychotic treatment initiation and continuation. METHODS: Two independent reviewers screened studies from databases, congress proceedings, ClinicalTrials.gov, and PsychU.org; relevant studies reported quantitative or qualitative data on antipsychotic-related stigma in adults with psychotic disorders, mood disorders, borderline personality disorder or anxiety disorders, or healthcare providers or caregivers of these patients, and any impact on treatment. Framework synthesis facilitated extraction and synthesis of relevant information; quantitative and qualitative data were coded and indexed against a pre-specified thematic framework by two independent reviewers. RESULTS: Forty-five articles reporting on 40 unique studies were included; 22 reported quantitative data, 16 reported qualitative data, and two reported quantitative and qualitative data relating to antipsychotic-related stigma. Framework synthesis identified four themes: 1) impact of antipsychotic treatment on a) social stigma or b) self-stigma; 2) impact of side effects of antipsychotic treatment on a) social stigma or b) self-stigma; 3) impact of route of administration of antipsychotic treatment on stigma; 4) impact of stigma on the use of antipsychotics. CONCLUSION: This systematic literature review found that antipsychotic-related social and self-stigma is a factor in non-adherence to antipsychotics. Further research should examine stigma in a wider range of patients and the extent to which clinicians' treatment decisions are impacted by the potential stigma associated with antipsychotic medications.

An Integrated Pharmacokinetic-Pharmacodynamic-Pharmacoeconomic Modeling Method to Evaluate Treatments for Adults with Schizophrenia.

INTRODUCTION: Schizophrenia is a chronic mental disorder that worsens with each relapse. Long-acting injectable (LAI) antipsychotics may prevent the exacerbation of symptoms and occurrence of relapses through improved continuity of care. Different dose regimens are available for the LAIs aripiprazole monohydrate (AM) and aripiprazole lauroxil (AL), but their cost effectiveness is unclear. OBJECTIVES: The study aim was to compare costs and effects (relapses) of the different aripiprazole LAI dose regimens to inform clinical and US payer decisions. METHODS: A state-transition model calculated the outcomes of eight LAI dose regimens based on their relapse rates. As effectiveness data from randomized controlled trials were unavailable, relapse rates were modeled using pharmacokinetic and pharmacodynamic evidence. These described blood plasma levels of aripiprazole as a function of AM and AL dose regimens and described the probability of relapse as a function of aripiprazole blood plasma levels. The analysis had a time horizon of 1 year and took the US healthcare payer perspective. The incremental cost per relapse avoided and the probability of cost effectiveness were calculated in deterministic and probabilistic analyses. Scenario analyses explored the model's main assumptions, and results were validated against external data and other cost-effectiveness analyses. RESULTS: Monthly administration of AM 400 mg consistently yielded the lowest predicted number of relapses across deterministic, probabilistic, and scenario analyses. The costs of treatment and relapses were projected to be the lowest with a monthly administration of AL 441 mg. The incremental cost per relapse avoided with AM 400 mg ranged from AM 400 mg being dominant to $US83,300. From willingness-to-pay thresholds of $US30,000 per relapse avoided, the probability of cost effectiveness was highest for AM 400 mg. The validation showed alignment with external data. CONCLUSION: The analysis highlighted the robustness of the novel framework based on pharmacokinetic and pharmacodynamic evidence and demonstrated an application in a postmarketing setting.

Treatment Compliance Communications Between Patients with Severe Mental Illness and Treating Healthcare Providers: A Retrospective Study of Documentation Using Healthcare Reimbursement Claims and Medical Chart Abstraction.

INTRODUCTION: Successful treatment for serious mental illnesses (SMIs) requires a good therapeutic alliance with healthcare providers and compliance with prescribed therapies such as antipsychotic medications. This retrospective study, which utilized administrative claims linked with abstracted medical chart data, addressed a data gap regarding compliance-related discussions between providers and patients. METHODS: Commercially insured patients in ambulatory care post-acute (emergency or inpatient) event were eligible. Criteria included age 18-65 years; schizophrenia, bipolar disorder, or major depressive disorder diagnoses; continuous enrollment 6 months before to 12 months after the first acute event claim dated 01/01/2014 to 12/31/2015; and antipsychotic medication prescription. Demographic and clinical data, and patient-provider discussions about treatment compliance were characterized from claims and abstracted medical charts. RESULTS: Ninety patients (62% female, mean age 41 years) were included and 680 visits were abstracted; only 58% had first-visit antipsychotic compliance discussions. Notably, 18% of patients had discussions using the specific terms "compliance," "persistence," or "adherence," whereas half were identified by more general terms. Compliance discussions were observed least often among the patients with schizophrenia, as compared with bipolar or major depressive disorders-a counterintuitive finding. DISCUSSION: Compliance discussions may represent intervention opportunities to optimize treatment, yet their study is a complex endeavor. The results of this study show an opportunity to improve this valuable treatment step.

Impact of treatment-related discussions on healthcare resource use and costs among patients with severe mental illness.

OBJECTIVE: Serious mental illnesses (SMIs), including schizophrenia, bipolar disorder, and major depressive disorder (MDD), are often treated with antipsychotic medications. Unfortunately, medication non-adherence is widespread and is associated with serious adverse outcomes. However, little real-world data are available describing adherence, compliance, or other medication-taking-related discussions between providers and patients. This study described these communications in ambulatory care. METHODS: Commercially insured patients having acute (emergency or inpatient) behavioral health (BH) events were included by specific criteria: age 18-65 years; diagnoses of schizophrenia, bipolar disorder, or MDD; continuous health insurance coverage 6 months before to 12 months after the first claim (index) date during 01/01/2014‒12/31/2015; and prescribed antipsychotic medication. Medical charts were abstracted for ambulatory visits with a BH diagnosis through 12 months after the acute event, describing any treatment compliance discussions that occurred. BH-related healthcare utilization and costs were measured via insurance claims. Results were analyzed by observation of an antipsychotic medication taking-related (i.e. compliance or adherence) discussion at the initial abstracted visit. RESULTS: Ninety patients were included: 62% female, mean age 41 years. Only 58% had antipsychotic compliance discussions during the first abstracted ambulatory visit. A total of 680 BH-related visits were abstracted for the 90 patients. Providers frequently discussed any psychotropic medication use (97% of all visits abstracted); however, discussion of compliance with BH talk therapies was less common (49% of visits among patients with a first visit antipsychotic discussion and 23% without, p < .001). Follow-up BH-related healthcare utilization and costs were not significantly different by cohort. Patients with ≥2 compliance discussions had a significantly lower risk of follow-up acute events, which are the costliest components of healthcare for SMI (p = .023). CONCLUSION: Increasing the frequency of antipsychotic treatment-related adherence/compliance discussions may represent an opportunity to improve the quality of care for these vulnerable patients and reduce the overall economic burden associated with the treatment of SMI diagnosis.

Mental Illness Disclosure in the Workplace: An Opportunity for Improvement.

Background: The Americans with Disabilities Act (ADA) prohibits discrimination based on physical or mental disabilities and requires that employers provide reasonable accommodations to workers with disabilities who can perform their essential job functions. However, the ADA also states that an employer is not required to hire or keep an individual with a psychiatric disability if it poses a direct threat to his or her safety or the safety of others. Objectives: To identify employers' disclosure requirements for mental illness diagnosis or treatment during the job application process and/or as a condition of ongoing employment, to determine disclosure requirements of state and federal licensing bodies, and to evaluate the legality of disclosure of mental health status. Methods: We conducted an Internet-based search to identify public and private employers' disclosure requirements based on 4 keyword combinations, including "employment/mental health," "employment/mental illness," "license application/mental illness," and "license application/mental health." Other employers were included based on known federal and/or state certification requirements or a governing body policy for employee suitability and fitness. A panel of 3 investigators reviewed the data and analyzed the key findings, industry trends, and workplace implications. Results: Of the 23 industries (eg, construction, government, military, transportation) investigated, 5 were public and 18 were private. Public employees and government-regulated companies often required disclosure of mental health conditions because of the nature of the work. Private companies showed more variability than public in whether applications contained disclosure requirements, some of which were not compliant with the ADA regulations. Conclusion: Across the United States, job applicants and workers are often asked to disclose mental health status as a condition of employment. Consequently, applicants and workers may hide mental health issues, resulting in the underuse of mental health resources by those in need.

Health Care Cost in Patients With Schizophrenia Treated With Brexpiprazole Versus Other Oral Atypical Antipsychotic Therapy.

PURPOSE: Brexpiprazole is an oral atypical antipsychotic (OAA) for the treatment of schizophrenia (SCZ). This study compared all-cause and psychiatric inpatient hospitalization and medical costs in adult patients with SCZ newly treated with brexpiprazole versus other US Food and Drug Administration-approved OAAs in a real-world setting. METHODS: This retrospective cohort study analyzed data from: (1) the IBM MarketScan Commercial and Medicare Supplemental databases, and the MarketScan Multi-State Medicaid database; and (2) the de-identified Optum Clinformatics Datamart. Adult patients were identified if they had SCZ and initiated either brexpiprazole or another OAA during the study identification period (July 1, 2015, to September 30, 2016, for MarketScan Commercial and Medicare Supplemental and for Optum; July 1, 2015, to June 30, 2016, for MarketScan Multi-State Medicaid) and had ≥12 months of continuous enrollment before (baseline) and after (follow-up) the first treatment date. Linear regression analyses were performed to test associations between treatment groups (brexpiprazole vs another OAA) and costs (total and medical); negative binomial regression models were used to estimate number of hospitalizations per year, adjusting for baseline characteristics and medication adherence to index treatment during the 12-month follow-up. FINDINGS: The final study sample consisted of 6254 patients with SCZ: 176 initiated brexpiprazole; 391, ziprasidone; 453, paliperidone; 523, lurasidone; 786, aripiprazole; 1234, quetiapine; 1264, olanzapine; and 1427, risperidone. Controlling for baseline characteristics and medication adherence, the adjusted number of hospitalizations (both all-cause and psychiatric), all-cause total costs, and all-cause medical costs did not differ across groups. Brexpiprazole users had the lowest mean psychiatric costs among all OAA users ($12,013; 95% bootstrap CI, 7488-16,538). Compared with brexpiprazole users, paliperidone (incidence rate ratio [95% CI], 1.52 [1.05-2.19]; P = 0.027) and quetiapine (incidence rate ratio [95% CI], 1.47 [1.04-2.07]; P = 0.029) users had more psychiatric hospitalizations per year. Paliperidone had higher psychiatric costs than brexpiprazole (total, $32,066 [95% bootstrap CI, 28,779-35,353] vs $23,851 [18,907-28,795]; medical, $19,343 [16,294-22,392] vs $12,013 [7488-16,538]). Psychiatric medical costs were also $6744 higher in olanzapine users (95% bootstrap CI, 1694-11,795; P = 0.009) than in brexpiprazole users. IMPLICATIONS: Patients with SCZ treated with brexpiprazole had fewer psychiatric hospitalizations and lower psychiatric costs than those treated with paliperidone. Differences in the number of all-cause hospitalizations and medical costs among treatments were not statistically significant. Although treatment decisions are driven by a number of factors (eg, clinical circumstances and drug costs), choice of OAA may affect health care costs.

A claims-based algorithm to reduce relapse and cost in schizophrenia.

OBJECTIVES: To refine a payer algorithm identifying patients with schizophrenia at high risk of relapse within a managed Medicaid population and evaluate its effectiveness in a case management (CM) program. STUDY DESIGN: Cross-sectional and longitudinal study design. METHODS: The algorithm used a single payer's Medicaid medical and pharmacy claims (August 1, 2009, to July 31, 2014) for patients with schizophrenia (N = 12,353) to predict those at high risk for hospitalization. The final algorithm was used in a CM program (outbound communication to providers) at 3 payer service centers in 3 states. Based on the algorithm, 60 patients (20 from each site) with the highest risk scores were targeted for CM (CM group) and 60 (those patients ranked 21st-40th most at-risk at each site) comprised the control group. Chi-square tests compared groups on frequency measures (hospitalizations, emergency department [ED] visits). Pre- to postimplementation differences were tested using McNemar's test. A pre-post analysis of variance assessed mean numbers of inpatient admissions, inpatient days, and ED visits for both groups. RESULTS: The algorithm had good positive predictive power (64.0%), negative predictive power (94.7%), sensitivity (40.2%), and specificity (97.9%). Following CM, the proportion of patients with at least 1 inpatient admission in the CM group decreased (23.3% to 13.3%), as did the rate of ED visits per month (by approximately 15%), whereas increases were observed in the control group. CONCLUSIONS: Although not all of these differences were statistically significant, they suggest that the algorithm may be an effective case-finding tool for plans attempting to mitigate hospitalizations among high-risk patients with schizophrenia.

Evaluating the Impact of Integrated Care on Service Utilization in Serious Mental Illness.

Serious mental illness (SMI) affects 5% of the United States population and is associated with increased morbidity and mortality, and use of high-cost healthcare services including hospitalizations and emergency department visits. Integrating behavioral and physical healthcare may improve care for consumers with SMI, but prior research findings have been mixed. This quantitative retrospective cohort study assessed whether there was a predictive relationship between integrated healthcare clinic enrollment and inpatient and emergency department utilization for consumers with SMI when controlling for demographic characteristics and disease severity. While findings indicated no statistically significant impact of integrated care clinic enrollment on utilization, the sample had lower levels of utilization than would have been expected. Since policy and payment structures continue to support integrated care models, further research on different programs are encouraged, as each setting and practice pattern is unique.

Claims-based proxies of patient instability among commercially insured adults with schizophrenia.

OBJECTIVE: Schizophrenia (Sz) patients are among the highest utilizers of hospital-based services. Prevention of relapse is in part a treatment goal in order to reduce hospital admissions. However, predicting relapse is a challenge, particularly for payers and disease management firms with only access to claims data. Understandably, such organizations have had little success predicting relapse. A tool that allows payers to identify patients at elevated risk of relapse could facilitate targeted interventions prior to relapse and avoid rehospitalization. In this study, a series of proxy measures of patient instability, calculated from claims data were examined for their utility in identifying Sz patients at elevated risk of relapse. METHODS: Aetna claims were used to assess the relationship between instability of Sz patients and valence and magnitude of antipsychotic (AP) medication change during a 2-year period. Six proxies of instability including hospital admissions, emergency department visits, medication utilization patterns, and use of outpatient services were identified. Results were replicated using claims data from Truven MarketScan®. RESULTS: Patients who switched AP ingredient had the highest overall instability at the point of switch and the second steepest decline in instability following switch. Those who changed to a long-acting injectable AP showed the second highest level of instability and the steepest decrease in instability following the change. Patients augmented with a second AP showed the smallest increase in instability, up to the switch. Results were directionally consistent between the two data sets. CONCLUSION: Using claims-based proxy measures to estimate instability may provide a viable method to better understand Sz patient markers of change in disease severity. Also, such proxies could be used to identify those individuals with the greatest need for treatment modification preventing relapse, improving patient outcomes, and reducing the burden of illness.