Prevalence of Opioid Use Disorder and Opioid Overdose Rates Among People With Mental Illness.

OBJECTIVE: The authors examined the prevalence and correlates of co-occurring opioid use disorder and opioid overdose among individuals receiving psychiatric services. METHODS: This was a cross-sectional study of adults with continuous enrollment in New York State Medicaid who received at least one psychiatric service in 2020 (N=523,885). Logistic regression models were used to examine the correlates of both opioid use disorder and overdose. RESULTS: In the study sample, the prevalence rate of opioid use disorder was 8.1%; within this group, 7.7% experienced an opioid overdose in the study year. Opioid use disorder rates were lower among younger (18-24 years; 2.0%) and older (≥65 years; 3.1%) adults and higher among men (11.1%) and among those residing in rural areas (9.9%). Compared with Whites (9.4%), opioid use disorder rates were lower for Asian Americans (2.0%, adjusted odds ratio [AOR]=0.22) and Blacks (6.8%, AOR=0.76) and higher for American Indians (13.2%, AOR=1.43) and Hispanics (9.6%, AOR=1.29). Individuals with any substance use (24.9%, AOR=5.20), posttraumatic stress (15.7%, AOR=2.34), bipolar (14.9%, AOR=2.29), or anxiety (11.3%, AOR=2.18) disorders were more likely to have co-occurring opioid use disorder; those with conduct (4.5%, AOR=0.51), adjustment (7.4%, AOR=0.88), or schizophrenia spectrum (7.4%, AOR=0.87) disorders were less likely to have opioid use disorder. Those with suicidality (23.9%, AOR=3.83) or economic instability (23.7%, AOR=3.35) had higher odds of having opioid use disorder. Overdose odds were higher among individuals with suicidality (34.0%, AOR=6.82) and economic instability (16.0%, AOR=2.57). CONCLUSIONS: These findings underscore the importance of providing opioid use disorder screening and treatment for patients receiving psychiatric services.

Healthcare Access for a Diverse Population with Schizophrenia Following the Onset of the COVID-19 Pandemic.

COVID-19 has had a disproportionate impact on the most disadvantaged members of society, including minorities and those with disabling chronic illnesses such as schizophrenia. We examined the pandemic's impacts among New York State's Medicaid beneficiaries with schizophrenia in the immediate post-pandemic surge period, with a focus on equity of access to critical healthcare. We compared changes in utilization of key behavioral health outpatient services and inpatient services for life-threatening conditions between the pre-pandemic and surge periods for White and non-White beneficiaries. We found racial and ethnic differences across all outcomes, with most differences stable over time. The exception was pneumonia admissions-while no differences existed in the pre-pandemic period, Black and Latinx beneficiaries were less likely than Whites to be hospitalized in the surge period despite minorities' heavier COVID-19 disease burden. The emergence of racial and ethnic differences in access to scarce life-preserving healthcare may hold lessons for future crises.

Engagement of individuals with serious mental illness in outpatient mental health services and telehealth use during the COVID-19 pandemic.

Questions remain regarding whether the transition and continued use of telehealth was associated with changes in treatment engagement among patients with serious mental illness (SMI). Using NYS Medicaid claims, we identified 116,497 individuals with SMI receiving outpatient mental health services from September 1, 2019-February 28, 2021 and a comparison cohort of 101,995 from September 1, 2017-February 28, 2019 to account for unmeasured and seasonal variation. We characterized engagement in three 6-month increments (T0-T1-T2) using clinically meaningful measures of high, partial, low, and none. Subgroup differences were compared, and telehealth users were compared to those with only in-person visits. Engagement, as characterized, was largely maintained during COVID. The 19.0 % with only in-person visits during COVID had different characteristics than telehealth users. Telehealth use was greater among younger people by T2 (33.1 %), women (57.7 %), non-Hispanic White people (38.9 %), and those with MDD (18.0 %), but lower among non-Hispanic Black people, in NYC, and those with schizophrenia or SUD. Most telehealth users were highly engaged (77.1 %); most using only in-person services had low engagement (47.5 %). The shift to telehealth preserved access to many outpatient services for this SMI population. Exploring reasons for not using telehealth may identify opportunities to increase care access.

Effects of Patient Suicide on Professional Practice Among Mental Health Providers.

INTRODUCTION: The loss of a patient to suicide has an enormous impact on clinicians, but few studies have examined its effects. METHOD: In this retrospective study, we compared clinicians who have and have not experienced a patient suicide using a survey of 2157 outpatient clinicians from 169 New York clinics to determine differences in their suicide prevention knowledge, practices, training, and self-efficacy. RESULTS: Approximately 25% of the clinician respondents lost patients to suicide; psychiatrists, nurses/nurse practitioners, and those with more years of experience were disproportionately affected. After controlling for these demographic/professional differences, clinicians who had experienced patient suicide reported feeling that they had insufficient training, despite actually having more suicide prevention training, greater knowledge of suicide prevention practices, and feeling more comfortable working with suicidal patients than clinicians who had not lost a patient to suicide. There were no differences in self-efficacy or utilization of evidence-based clinical practices. CONCLUSIONS: Controlling for demographic/professional differences, clinicians who experienced a patient suicide had more training, knowledge, and felt more comfortable working with suicidal patients. It is critical that sufficient training be available to clinicians, not only to reduce patient deaths, but also to help clinicians increase their comfort, knowledge, skill, and ability to support those bereaved by suicide loss.

Association Between the Use of Psychotropic Medications and the Risk of COVID-19 Infection Among Long-term Inpatients With Serious Mental Illness in a New York State-wide Psychiatric Hospital System.

Importance: Individuals with serious mental illness are at increased risk of severe COVID-19 infection. Several psychotropic medications have been identified as potential therapeutic agents to prevent or treat COVID-19 but have not been systematically examined in this population. Objective: To evaluate the associations between the use of psychotropic medications and the risk of COVID-19 infection among adults with serious mental illness receiving long-term inpatient psychiatric treatment. Design, Setting, and Participants: This retrospective cohort study assessed adults with serious mental illness hospitalized in a statewide psychiatric hospital system in New York between March 8 and July 1, 2020. The final date of follow-up was December 1, 2020. The study included 1958 consecutive adult inpatients with serious mental illness (affective or nonaffective psychoses) who received testing for SARS-CoV-2 by reverse transcriptase-polymerase chain reaction or antinucleocapsid antibodies and were continuously hospitalized from March 8 until medical discharge or July 1, 2020. Exposures: Psychotropic medications prescribed prior to COVID-19 testing. Main Outcomes and Measures: COVID-19 infection was the primary outcome, defined by a positive SARS-CoV-2 reverse transcriptase-polymerase chain reaction or antibody test result. The secondary outcome was COVID-19-related death among patients with laboratory-confirmed infection. Results: Of the 2087 adult inpatients with serious mental illness continuously hospitalized during the study period, 1958 (93.8%) underwent testing and were included in the study; 1442 (73.6%) were men, and the mean (SD) age was 51.4 (14.3) years. A total of 969 patients (49.5%) had laboratory-confirmed COVID-19 infection that occurred while they were hospitalized; of those, 38 (3.9%) died. The use of second-generation antipsychotic medications, as a class, was associated with decreased odds of infection (odds ratio [OR], 0.62; 95% CI, 0.45-0.86), whereas the use of mood stabilizers was associated with increased odds of infection (OR, 1.23; 95% CI, 1.03-1.47). In a multivariable model of individual medications, the use of paliperidone was associated with decreased odds of infection (OR, 0.59; 95% CI, 0.41-0.84), and the use of valproic acid was associated with increased odds of infection (OR, 1.39; 95% CI, 1.10-1.76). Clozapine use was associated with reduced odds of mortality in unadjusted analyses (unadjusted OR, 0.25; 95% CI, 0.10-0.62; fully adjusted OR, 0.43; 95% CI, 0.17-1.12). Conclusions and Relevance: In this cohort study of adults hospitalized with serious mental illness, the use of second-generation antipsychotic medications was associated with decreased risk of COVID-19 infection, whereas the use of valproic acid was associated with increased risk. Further research is needed to assess the mechanisms that underlie these findings.

Pathway Home™ for High Utilizers of Psychiatric Inpatient Services: Impact on Inpatient Days and Outpatient Engagement.

OBJECTIVE: This study examined the impact of Pathway Home™ (PH) transition services for high utilizers of psychiatric hospitalization on inpatient days and outpatient engagement post-hospital discharge. METHODS: This case series study of forty PH graduates (5/22/2015-8/31/2018) used Medicaid claims to assess psychiatric inpatient days-per-month, average proportion of months with psychiatric emergency room, outpatient, and health home care management services. T-tests compared three time periods: the year prior, during, and after enrollment. RESULTS: Graduates had significantly fewer psychiatric inpatient days/month during (M = 1.84, p < 0.001) and after PH enrollment (M = 1.88, p < 0.001) compared to prior to enrollment (M = 7.1), while emergency services were stable. Outpatient visits increased from 45% prior to 76% during enrollment (p < 0.001) and was sustained on follow-up (67%, p = 0.008). A similar pattern emerged for health home services (32%, 60%, and 50%). CONCLUSION: PH is a promising approach for improving outcomes for high utilizers of psychiatric inpatient services, with sustained impact on follow-up.

Predictors of Intentional Self -Harm Among Medicaid Mental Health Clinic Clients In New York.

BACKGROUND: Behavioral health outpatients are at risk for self-harm. Identifying individuals or combination of risk factors could discriminate those at elevated risk for self-harm. METHODS: The study population (N = 248,491) included New York State Medicaid-enrolled individuals aged 10 to 64 with mental health clinic services between November 1, 2015 to November 1, 2016. Self-harm episodes were defined using ICD-10 codes from emergency department and inpatient visits. Multi-predictor logistic regression models were fit on a subsample of the data and compared to a testing sample based on discrimination performance (Area Under the Curve or AUC). RESULTS: Of N = 248,491 patients, 4,224 (1.70%) had an episode of intentional self-harm. Factors associated with increased self-harm risk were age 17-25, being female and having recent diagnoses of depression (AOR=4.3, 95%CI: 3.6-5.0), personality disorder (AOR=4.2, 95%CI: 2.9-6.1), or substance use disorder (AOR=3.4, 95%CI: 2.7-4.3) within the last month. A multi-predictor logistic regression model including demographics and new psychiatric diagnoses within 90 days prior to index date had good discrimination and outperformed competitor models on a testing sample (AUC=0.86, 95%CI:0.85-0.87). LIMITATIONS: New York State Medicaid data may not be generalizable to the entire U.S population. ICD-10 codes do not allow distinction between self-harm with and without intent to die. CONCLUSIONS: Our results highlight the usefulness of recency of new psychiatric diagnoses, in predicting the magnitude and timing of intentional self-harm risk. An algorithm based on this finding could enhance clinical assessments support screening, intervention and outreach programs that are at the heart of a Zero Suicide prevention model.

Is the outpatient mental health workforce ready to save lives? Suicide prevention training, knowledge, self-efficacy, and clinical practices prior to the implementation of a statewide suicide prevention initiative.

OBJECTIVE: Many public health approaches to suicide prevention emphasize connecting at-risk individuals to professional treatment. However, it is unclear to what degree the outpatient mental health workforce has the requisite knowledge and skills to provide the evidence-based care needed to help those at risk. In this project, prior to the implementation of a statewide suicide prevention initiative, we assessed the baseline suicide prevention training and clinical practices of the New York State outpatient mental health workforce, a group likely representative of the broader U.S. clinical workforce. METHOD: A workforce survey of suicide prevention training and clinical practices was administered to 2,257 outpatient clinicians, representing 169 clinics serving approximately 90,000 clients. Clinicians were asked to complete the survey online, and all responses were confidential. RESULTS: Clinicians reported substantial gaps in their suicide prevention knowledge and training. The vast majority reported moderate self-efficacy working with suicidal clients and endorsed using evidence-based assessment procedures, but varied in utilization of recommended intervention practices. CONCLUSIONS: This study highlights gaps in clinicians' training and clinical practices that need to be overcome to provide evidence-based suicide care. Promisingly, positive associations were found between training and clinician knowledge, self-efficacy, and use of evidence-based practices.

The Relationship Between Suicidal Behaviors and Zero Suicide Organizational Best Practices in Outpatient Mental Health Clinics.

OBJECTIVE: This study tested the hypothesis that fidelity of clinics to Zero Suicide (ZS) organizational practices is inversely related to suicidal behaviors of patients under clinical care. METHODS: Using cross-sectional analyses, the authors examined the fidelity of 110 outpatient mental health clinics to ZS organizational best practices and suicidal behaviors of clinic patients in the year before a large-scale Zero Suicide implementation. Fidelity to ZS organizational best practices was assessed over a 1-year period with an adapted version of the ZS Organizational Self-Study instrument (17 items self-rated on a Likert scale of 1-5). Suicidal behaviors of patients were identified by extracting information on suicide attempts and deaths from a mandated statewide incident-reporting system database. Clinics were dichotomized into any or no suicide incidents during the year of observation. Logistic regression analyses were used to adjust for clinic census and population type (majority child or adult). RESULTS: The clinics (N=110) served 30,257 patients per week. Clinics' total average fidelity score was 3.1±0.6 (range=1.41-4.12). For each point increase in fidelity, clinics had a significantly reduced likelihood of having a suicide incident (adjusted odds ratio=0.31, 95% confidence interval=0.14-0.69). Exploratory analysis identified significant differences for seven of 17 ZS organizational practices, with the largest effect sizes for suicide-specific quality improvement policies and activities (η2=0.097) and lethal means reduction (η2=0.073). CONCLUSIONS: These findings support an association between clinics' use of ZS organizational best practices and lower suicidal behaviors of patients under their care. Findings also support the validity of the ZS Organizational Self-Study instrument.

Most Individuals Are Seen in Outpatient Medical Settings Prior to Intentional Self-Harm and Suicide Attempts Treated in a Hospital Setting.

The objective of this quantitative retrospective study is to understand healthcare patterns prior to self-harm, which may inform prevention efforts and identify intervention sites. Medicaid claims within 30, 60, 90, and 365 days prior to hospital-treated self-harm between 11/1/2015 and 11/1/2016 in New York State (N = 7492) were examined. Numbers and proportions were calculated for all service types. Participants were predominately 15-34, female, and White. Most (97%) had prior-year services, 94% outpatient care (73% behavioral health, 90% medical), 69% emergency department (37% behavioral health, 59% medical), and 42% inpatient services (34% behavioral health, 20% medical). About 86% received services within 90 days and 80% within 60 days. Utilization was high within 30 days prior, with 69% having one or more services. Medical services were more common than behavioral health (94% versus 79% in prior year); outpatient (94%) was more common than emergency (69%) and inpatient (42%) care. Given that most patients received health services within 30 days and almost all saw providers within the year prior, the findings indicate that improved prevention efforts within the healthcare system can reduce the incidence of self-harm.

Providing Health Physicals and/or Health Monitoring Services in Mental Health Clinics: Impact on Laboratory Screening and Monitoring for High Risk Populations.

Providing physical health care in specialty mental health clinics is a promising approach to improving the health status of adults with serious mental illness, but most programs examined in prior studies are not financially sustainable. This study assessed the impact on quality of care of a low-cost program implemented in New York State that allowed mental health clinics to be reimbursed by Medicaid for provision of health monitoring and health physicals (HM/HP). Medicaid claims data were analyzed with generalized linear multilevel models to examine change over time in quality of physical health care associated with HM/HP services. Recipients of HM/HP services were compared to control clinic patients [Per protocol (PP)] and with non-recipients of HM/HP services from both intervention and control clinics [As-Treated (AT)]. HM/HP clinic patients, regardless of receipt of HM/HP services, were compared with control clinic patients [Intent-to-Treat (ITT)]. Analyses were conducted with adjustment for patient demographic and clinical characteristics and prior year service use. The PP and AT analyses found significant improvement in measure of blood glucose screening for patients on antipsychotic medication and HbA1C testing for patients with diabetes (AOR range 1.26-1.33) and the AT analysis found significant improvement in cholesterol screening for patients on antipsychotic medication (AOR 1.24). However, ITT analysis found no significant changes in quality of care in HM/HP clinic caseloads relative to control clinics. The low-cost HM/HP program has the potential to benefit patients who receive supported services, but its impact is limited by remaining barriers to service implementation.

Zero suicide implementation-effectiveness trial study protocol in outpatient behavioral health using the A-I-M suicide prevention model.

BACKGROUND: The treatment of suicidal patients often suffers owing to a lack of integrated care and standardized approaches for identifying and reducing risk. The National Strategy for Suicide Prevention endorsed the Zero Suicide (ZS) model, a multi-component, system-wide approach to identify, engage, and treat suicidal patients. The ZS model is a framework for suicide prevention in healthcare systems with the aspirational goal of eliminating suicide in healthcare. While the approach is widely endorsed, it has yet to be evaluated in a systematic manner. This trial evaluates two ZS implementation strategies statewide in specialty mental health clinics. METHODS/STUDY DESIGN: This trial is the first large-scale implementation of the ZS model in mental health clinics using the Assess, Intervene, and Monitor for Suicide Prevention (A-I-M) clinical model. Using a hybrid effectiveness-implementation type 1 design, we are testing the effectiveness of ZS implementation in 186 mental health clinics in 95 agencies in New York State. Agencies are randomly assigned to either: "Basic Implementation" (BI; a large group didactic learning collaboratives) or "Enhanced Implementation" (EI; participatory small group learning collaboratives; enhanced consultation for site champions). Primary outcomes include suicidal behaviors, hospitalizations and Emergency Department visits; implementation outcomes include protocol adoption, protocol fidelity and barriers/facilitators to implementation. DISCUSSION: This project has the potential to have a significant public health impact by determining the effectiveness of the ZS model in mental health clinics, a setting where suicide attempts and suicides occur at a higher rate than any other healthcare setting. It will also provide guidance on the implementation level required to achieve uptake and sustainability of ZS. TRIAL REGISTRATION: N/A.

Antipsychotic Medication Adherence and Diabetes-Related Hospitalizations Among Medicaid Recipients With Diabetes and Schizophrenia.

OBJECTIVE: This cross-sectional study examined the relationship between antipsychotic medication adherence and preventable diabetes-related hospitalizations for individuals with diabetes and schizophrenia. METHODS: Hospitalizations related to diabetes, an ambulatory care sensitive condition, were assessed among Medicaid recipients in New York State with comorbid diabetes and schizophrenia (N=14,365) for three levels of antipsychotic medication adherence: very low to no engagement (two or fewer prescriptions or none in first 6 months), moderate to low adherence, and adherent (proportion of days covered ≥80%). RESULTS: Rates of preventable diabetes hospitalization were highest among individuals with very low to no engagement in antipsychotic treatment (4.7%), followed by those with moderate to low adherence (3.3%). Diabetes hospitalizations among adherent individuals were comparable with those of the total diabetes population (both 2.0%). The odds of a preventable diabetes hospitalization were significantly higher among individuals with very low to no engagement in antipsychotic treatment (adjusted odds ratio [AOR]=2.42) and among those with moderate to low adherence (AOR=1.57) than among adherent individuals. Black individuals were also at increased risk of a preventable diabetes hospitalization after the analyses adjusted for antipsychotic adherence and other variables (AOR=1.38). CONCLUSIONS: This study indicates a relationship between antipsychotic adherence and improved diabetes outcomes among individuals with schizophrenia. Engagement in mental health treatment may be a critical path toward improving health disparities for individuals with schizophrenia. Individuals with very low to no engagement were a particularly vulnerable group, and the exclusion of persons with less than two prescriptions from research and quality measures should be revisited.

Predictors of Receipt of Physical Health Services in Mental Health Clinics.

To inform efforts to improve physical health care for adults with serious mental illness, this study examines predictors of provision and receipt of physical health services in freestanding mental health clinics in New York state. The number of services provided over the initial 12-months of implementation varied across clinics from 0 to 1407. Receipt of services was associated with a diagnosis of schizophrenia, frequent mental and physical health visits in the prior year, and prescription of antipsychotic medications. Additional support may also be needed to enable clinics to target patients without established patterns of frequent mental health or medical visits.

Implementation and Use of a Client-Facing Web-Based Shared Decision-Making System (MyCHOIS-CommonGround) in Two Specialty Mental Health Clinics.

Electronic shared-decision making programs may provide an assistive technology to support physician-patient communication. This mixed methods study examined use of a web-based shared decision-making program (MyCHOIS-CommonGround) by individuals receiving specialty mental health services, and identified qualitative factors influencing adoption during the first 18 months of implementation in two Medicaid mental health clinics. T-tests and χ2 analyses were conducted to assess differences in patient use between sites. Approximately 80% of patients in both clinics created a MyCHOIS-CommonGround user profile, but marked differences emerged between clinics in patients completing shared decision-making reports (79% vs. 28%, χ2(1) = 109.92, p < .01) and average number of reports (7.20 vs. 3.60, t = - 3.64, p < .01). Results suggest high penetration of computer-based programs in specialty mental health services is possible, but clinic implementation factors can influence patient use including leadership commitment, peer staff funding to support the program, and implementation strategy, most notably integration of the program within routine clinical workflow.

Use of a Web-Based Shared Decision-Making Program: Impact on Ongoing Treatment Engagement and Antipsychotic Adherence.

OBJECTIVE: The authors examined the impact of a Web-based shared decision-making application, MyCHOIS-CommonGround, on ongoing outpatient mental health treatment engagement (all users) and antipsychotic medication adherence (users with schizophrenia). METHODS: An intervention study was conducted by comparing Medicaid-enrolled MyCHOIS-CommonGround users in 12 participating mental health clinics (N=472) with propensity score-matched adults receiving services in nonparticipating clinics (N=944). Medicaid claims were used to assess ongoing treatment engagement and antipsychotic adherence (among individuals with schizophrenia) one year prior to and after entry into the cohort. Multilevel linear models were conducted to estimate the effects of the MyCHOIS-CommonGround program over time. RESULTS: No differences during the baseline year were found between the MyCHOIS-CommonGround group and the matched control group on demographic, diagnostic, or service use characteristics. At one-year follow-up, engagement in outpatient mental health services was significantly higher for MyCHOIS-CommonGround users than for the control group (months with a service, 8.54±.22 versus 6.95±.15; ß=1.40, p<.001). Among individuals with schizophrenia, antipsychotic medication adherence was also higher during the follow-up year among MyCHOIS-CommonGround users compared with the control group (proportion of days covered by medication, .78±.04 versus .69±.03; ß=.06, p<.01). CONCLUSIONS: These findings provide new evidence that shared decision-making tools may promote ongoing mental health treatment engagement for individuals with serious mental illness and improved antipsychotic medication adherence for those with schizophrenia.

"Zero Suicide" - A model for reducing suicide in United States behavioral healthcare.

Suicide is a serious public health concern in the US, especially for those served in outpatient behavioral health. Over the past decade, there has been a dramatic increase in US suicide rates, and a significant proportion of those dying by or attempting suicide were treated in outpatient behavioral healthcare within the prior year. In response, the US Action Alliance released the National Strategy for Suicide Prevention in 2012, a key tenet of which is the "Zero Suicide" (ZS) model. ZS provides resources for administrators and providers to create a systematic approach to quality improvement for suicide prevention in healthcare systems via seven essential elements (Lead, Train, Identify, Engage, Treat, Transition, Improve). In this paper, we describe the ZS model, as well as our operationalization of the model in an NIMH-funded study in ~170 free-standing New York State outpatient behavioral health clinics, serving >80,000 patients. This study is the largest implementation and evaluation of the ZS approach ever conducted in outpatient behavioral health. Evaluation of ZS implementation in "real-world" clinical settings will provide crucial insight regarding broader dissemination and inform how to best adopt empirically-supported care for suicidal patients in outpatient behavioral health, thereby reducing tragic and preventable loss of life.

Impact of a mental health based primary care program on emergency department visits and inpatient stays.

OBJECTIVE: Integrating primary care services into specialty mental health clinics has been proposed as a method for improving health care utilization for medical conditions by adults with serious mental illness. This paper examines the impact of a mental health based primary care program on emergency department (ED) visits and hospitalizations. METHOD: The program was implemented in seven New York City outpatient mental health clinics in two waves. Medicaid claims were used to identify patients treated in intervention clinics and a control group of patients treated in otherwise similar clinics in New York City. Impacts of the program were estimated using propensity score adjusted difference-in-differences models on a longitudinally followed cohort. RESULTS: Hospital stays for medical conditions increased significantly in intervention clinics relative to control clinics in both waves (ORs = 1.21 (Wave 1) and 1.33 (Wave 2)). ED visits for behavioral health conditions decreased significantly relative to controls in Wave 1 (OR = 0.89), but not in Wave 2. No other significant differences in utilization trends between the intervention and control clinics were found. CONCLUSION: Introducing primary care services into mental health clinics may increase utilization of inpatient services, perhaps due to newly identified unmet medical need in this population.

Differences in Medicaid Antipsychotic Medication Measures Among Children with SSI, Foster Care, and Income-Based Aid.

BACKGROUND: Concerns about antipsychotic prescribing for children, particularly those enrolled in Medicaid and with Supplemental Security Income (SSI), continue despite recent calls for selective use within established guidelines. OBJECTIVES: To (a) examine the application of 6 quality measures for antipsychotic medication prescribing in children and adolescents receiving Medicaid and (b) understand distinctive patterns across eligibility categories in order to inform ongoing quality management efforts to support judicious antipsychotic use. METHODS: Using data for 10 states from the 2008 Medicaid Analytic Extract (MAX), a cross-sectional assessment of 144,200 Medicaid beneficiaries aged < 21 years who received antipsychotics was conducted to calculate the prevalence of 6 quality measures for antipsychotic medication management, which were developed in 2012-2014 by the National Collaborative for Innovation in Quality Measurement. These measures addressed antipsychotic polypharmacy, higher-than-recommended doses of antipsychotics, use of psychosocial services before antipsychotic initiation, follow-up after initiation, baseline metabolic screening, and ongoing metabolic monitoring. RESULTS: Compared with children eligble for income-based Medicaid, children receiving SSI and in foster care were twice as likely to receive higher-than-recommended doses of antipsychotics (adjusted odds ratio [AOR] = 2.4, 95% CI = 2.3-2.6; AOR = 2.5, 95% CI = 2.4-2.6, respectively) and multiple concurrent antipsychotic medications (AOR = 2.2, 95% CI = 2.0-2.4; AOR = 2.2, 95% CI = 2.0-2.4, respectively). However, children receiving SSI and in foster care were more likely to have appropriate management, including psychosocial visits before initiating antipsychotic treatment and ongoing metabolic monitoring. While children in foster care were more likely to experience baseline metabolic screening, SSI children were no more likely than children eligible for income-based aid to receive baseline screening. CONCLUSIONS: While indicators of overuse were more common in SSI and foster care groups, access to follow-up, metabolic monitoring, and psychosocial services was somewhat better for these children. However, substantial quality shortfalls existed for all groups, particularly metabolic screening and monitoring. Renewed efforts are needed to improve antipsychotic medication management for all children. DISCLOSURES: This project was supported by grant number U18HS020503 from the Agency for Healthcare Research and Quality (AHRQ) and Centers for Medicare & Medicaid Services (CMS). Additional support for Rutgers-based participants was provided from AHRQ grants R18 HS019937 and U19HS021112, as well as the New York State Office of Mental Health. The content of this study is solely the responsibility of the authors and does not necessarily represent the official views of AHRQ, CMS, or the New York State Office of Mental Health. Finnerty has been the principle investigator on research grants/contracts from Bristol Myers Squibb and Sunovion, but her time on these projects is fully supported by the New York State Office of Mental Health. Scholle, Byron, and Morden work for the National Committee for Quality Assurance, a not-for-profit organization that develops and maintains quality measures. Neese-Todd was at Rutgers University at the time of this study and is now employed by the National Committee for Quality Assurance. The other authors have no financial relationships relevant to this article to disclose. Study concept and design were contributed by Finnerty, Neese-Todd, and Crystal, assisted by Scholle, Leckman-Westin, Horowitz, and Hoagwood. Scholle, Byron, Morden, and Hoagwood collected the data, and data interpretation was performed by Pritam, Bilder, Leckman-Westin, and Finnerty, with assistance from Scholle, Byron, Crystal, Kealey, and Neese-Todd. The manuscript was written by Leckman-Westin, Kealey, and Horowitz and revised by Layman, Crystal, Leckman-Westin, Finnerty, Scholle, Neese-Todd, and Horowitz, along with the other authors.