The association between toxicity and efficacy of immune checkpoint inhibitors in older adults with NSCLC.

Aim: This cohort study evaluated the association between immune checkpoint inhibitors (ICIs)-induced immune-related adverse events (irAEs) and mortality as well as ICI discontinuation among older adults with NSCLC.Methods: 2007-2019 Surveillance, Epidemiology and End Results-Medicare linked database was used and survival analysis with time-varying exposure of irAEs was applied to estimate the associations.Results & conclusion: A total of 8,175 individuals were included, with 46.8% of whom developed an irAE. Cox regression models showed the occurrence of any irAEs was associated with increased risk of mortality (HR: 1.73, 95% CI: 1.63-1.82) and treatment discontinuation (HR: 1.87, 95% CI: 1.78-1.97). Some variability was observed in the effect on the two outcomes depending on the type of irAE.

A few studies have suggested that certain adverse events related to the immune system (called immune-related adverse events, or irAEs) following treatment of immune checkpoint inhibitors (ICIs) are linked to better clinical outcomes associated with ICI treatment. In contrast, this study of older adults with lung cancer found that patients suffering from irAEs were more likely to die and discontinue ICI treatment. Adverse events such as pneumonitis, arrhythmia, acute kidney injury, hepatitis and colitis were found to be associated with worse outcomes, while hypothyroidism and dermatologic irAEs were not. To prevent life-threatening outcomes for older adults with lung cancer, it is important to closely monitor for the development of irAEs following the initiation of ICI therapy.

Estimation of optimal adherence threshold for tumor necrosis factor inhibitors in rheumatoid arthritis.

INTRODUCTION: Optimal adherence thresholds can vary across medications and disease states. The objective of the study was to determine the optimal threshold of the proportion of days covered (PDC) for tumor necrosis factor (TNF) inhibitors in patients with rheumatoid arthritis (RA). METHODS: Patients with RA initiating self-administered TNF inhibitors were identified using 2012-18 Medicare fee-for-service claims. Time-varying PDC was calculated every day for the preceding 90 days during follow-up. Oral and injected glucocorticoid use, hospitalizations, emergency room (ER) visits, serious infections, and a composite of these were measured as outcomes. Time to first occurrence of each outcome as a function of time-varying PDC for TNF inhibitors was evaluated using Cox regression. Incident/dynamic time-dependent receiver operating characteristic curves and Youden's J index were used to obtain the optimal PDC threshold for outcomes at 365 days. RESULTS: Of the 1190 patients who met the study inclusion criteria, almost 75% (865 patients) experienced at least one of the outcomes. Increasing PDC by 10% was significantly associated with decreased risks of the composite outcome (HR 0.98, 95% CI 0.96-1.00), oral glucocorticoid use (HR 0.93, 95% CI 0.91-0.96), and hospitalization (HR 0.96, 95% CI 0.94-0.99) but an increased risk of ER visits (HR 1.04, 95% 1.01-1.07). Optimal PDC thresholds for the composite outcome, oral glucocorticoid use, and hospitalization were 0.64, 0.59, and 0.56, respectively. CONCLUSIONS: Increased PDC was associated with a decreased risk of adverse outcomes, except ER visits. The optimal PDC for TNF inhibitors in Medicare patients with RA based on clinical outcomes was about 60%. Key Points • The optimal proportion of days covered threshold for tumor necrosis factor inhibitors at 365 days based on clinical outcomes was found to be about 60%, which is lower than the traditional 80% used to define adherence. • Increased adherence was associated with decreased risks of oral glucocorticoid use, hospitalization, and the composite outcome. However, it was also associated with an increased risk of emergency room visits. • The mean time-varying 90-day proportion of days covered decreased throughout the study starting 92% at day 1 of follow-up to 62% at day 365.

Incidence and risk factors of immune-related adverse events induced by immune checkpoint inhibitors among older adults with non-small cell lung cancer.

BACKGROUND: Immune checkpoint inhibitor (ICI) treatment has been linked to a variety of immune-related adverse events (irAEs), which can affect any organ system. The incidence and risk factors of irAEs have not been adequately evaluated among older adults with NSCLC. METHODS: A cohort study was conducted using 1999-2019 SEER-Medicare data among beneficiaries aged ≥65 years with a diagnosis of NSCLC who received nivolumab, pembrolizumab, or atezolizumab. Incident irAEs were identified post-ICI initiation. Demographic, cancer-related characteristics, and clinical history risk factors of irAEs were evaluated with competing events considered. RESULTS: A total of 8175 older NSCLC patients were included (with 46.8% experiencing irAEs). Pneumonitis (16.5%), hypothyroidism (10.5%), arrhythmia (11.18%), and acute kidney injury (AKI) (5.8%) were the most common irAEs. The median time to first irAE was 82 days (IQR: 29-182 days). The earliest onset of irAE occurrence was for hematologic irAEs, while the latest were gastrointestinal, dermatologic, and musculoskeletal irAEs. Fine-Gray regression modeling revealed significantly greater hazards of irAE occurrence in patients who received pembrolizumab at index, did not have CNS metastases, had a history of autoimmune disorder, and had chemotherapy in combination with ICI. Race, socioeconomic status, previous radiation therapy, and comorbidity burden were found to be associated with the occurrence of certain type of irAEs. CONCLUSION: A significant proportion of older patients with NSCLC develop an irAE after receiving ICI treatment. Factors related to cancer and treatment as well as demographics contribute to the increased risk of irAEs. Close monitoring and prediction of irAE among older patients receiving ICI is warranted.

Opioid tapering and mental health crisis in older adults.

BACKGROUND: Opioid tapering and discontinuation have increased in recent years with the implementation of national prescribing guidelines. This study aimed to examine the relationship between opioid tapering velocity and mental health crisis events in older Medicare beneficiaries. METHODS: A nested case-control study was conducted using the 2012-2018, 5% national Medicare claims data. Older adults with chronic non-cancer pain (CNCP) who were receiving long-term opioid therapy (LTOT) were included in the study. Cases were defined as individuals experiencing mental health crisis events; controls were identified using incidence density sampling. The opioid tapering velocity was measured in the 120-day hazard period that yielded a monthly percentage of dose change. Conditional logistic regression was used to assess the relationship of interest. RESULTS: A total of 42 091 older adults with CNCP were eligible for the study. Cases (n = 952) were matched with controls in a 1:2 ratio based on age (±1 year) and time of cohort entry (±30 days). A higher percentage of controls (67.65%) were on steady dose compared with cases (59.03%). In the adjusted model, tapering (aOR = 1.36; 95% CI: 1.02-1.83), rapid tapering (aOR = 1.45; 95% CI: 1.11-1.91), and dose escalation (aOR = 1.78; 95% CI: 1.32-2.39) were significantly associated with the mental health crisis, compared with steady dose. CONCLUSION: Both opioid tapering and dose escalation are associated with mental health crisis events. Patient-driven and gradual dose tapering, as recommended by prescribing guidelines, should be promoted to prevent mental health crisis events among older adults on LTOT.

Coprescribing of opioids and psychotropic medications among Medicare-enrolled older adults on long-term opioid therapy.

BACKGROUND: Pressures to reduce opioid prescribing have potential to incentivize coprescribing of opioids (at lower dose) with psychotropic medications. Evidence concerning the extent of the problem is lacking. This study assessed trends in coprescribing and characterized coprescribing patterns among Medicare-enrolled older adults with chronic noncancer pain (CNCP) receiving long-term opioid therapy (LTOT). METHODS: A cohort study was conducted using 2012-2018 5% National Medicare claims data. Eligible beneficiaries were continuously enrolled and had no claims for cancer diagnoses or hospice use, and ≥ 2 claims with diagnoses for CNCP conditions within a 30-day period in the 12 months before the index date (LTOT initiation). Coprescribing was defined as an overlap between opioids and any class of psychotropic medication (antidepressants, benzodiazepines, antipsychotics, anticonvulsants, muscle relaxants, and nonbenzodiazepine hypnotics) based on their prescription fill dates and days of supply in a given year. The occurrence of coprescribing, coprescribing intensity, and number of days of overlap with psychotropic medications were calculated for each calendar year. RESULTS: The eligible study population of individuals on LTOT ranged from 2038 in 2013 to 1751 in 2018. The occurrence of coprescribing among eligible beneficiaries decreased from 73.41% in 2013 to 70.81% in 2015 and then increased slightly to 71.22% in 2018. Among eligible beneficiaries with at least one overlap day, the coprescribing intensity with any class of psychotropic medications showed minimal variation throughout the study period: 74.73% in 2013 and 72.67% in 2018. Across all the years, the coprescribing intensity was found to be highest with antidepressants (2013, 49.90%; 2018, 50.33%) followed by benzodiazepines (2013, 25.42%; 2018, 19.95%). CONCLUSION: Coprescribing was common among older adults with CNCP who initiated LTOT but did not rise substantially in the period studied. Future research should investigate drivers behind coprescribing and safety of various patterns of use.

Do Formulation and Dose of Long-Term Opioid Therapy Contribute to Risk of Adverse Events among Older Adults?

BACKGROUND: Chronic non-cancer pain (CNCP) is highly prevalent in older adults and long-term opioid therapy (LTOT) has been used to manage chronic pain. However, the safety of LTOT among older adults with CNCP is not well-established and there is a need to identify therapy-related risk factors of opioid-related adverse events among older adults. OBJECTIVE: To evaluate the relationship between opioid dose and formulation and the risk of opioid-related adverse events among Medicare-eligible older adults on LTOT. DESIGN: Nested case-control study. PARTICIPANTS: Older Medicare beneficiaries (N=35,189) who received > 3 opioid prescriptions with a total days-supply of >45 days within a 90-day period for CNCP between 2012 and 2016. MAIN MEASURES: This study utilized Medicare 5% medical and prescription claims data. Outcome measures included opioid-induced respiratory depression (OIRD), opioid overdose, all-cause mortality, and a composite outcome, defined as the first occurrence of any of the previous three events. Key independent variables were opioid formulation and opioid dose (measured in morphine milligram equivalents (MME)) prescribed during LTOT. KEY RESULTS: Seventy-four OIRD, 133 overdose, 982 all-cause mortality, and 1122 composite outcome events were observed during follow-up. In unadjusted analyses, the use of combination opioids (OR: 4.52 [95%CI: 1.51-13.47]) was significantly associated with OIRD compared to short-acting (SA) opioids. In adjusted analyses, opioid-related adverse events were significantly associated with the use of LA (overdose OR: 13.00 [95%CI: 1.30-130.16] and combination opioids (overdose OR: 6.27 [95%CI: 1.91-20.55]; mortality OR: 2.75 [95%CI: 1.87-4.04]; composite OR: 2.82 [95%CI: 2.01-3.96]) when compared to SA opioids. When compared to an average dose of less than 20 MME, outcomes were significantly associated with doses of 20-50 MME (mortality OR: 1.61 [95%CI: 1.24-2.10]; composite OR: 1.59 [95%CI: 1.26-2.01]) and >50 MME (mortality OR: 1.99 [95%CI: 1.28-3.10]; composite OR: 2.09 [95%CI: 1.43-3.04]). CONCLUSIONS: Older adults receiving medically prescribed opioids at higher doses and those using LA and combination of LA and SA opioids are at increased risks for opioid-related adverse events, highlighting the need for close patient supervision.

Phase-Specific and Lifetime Costs of Multiple Myeloma Among Older Adults in the US.

Importance: Health care costs associated with diagnosis and care among older adults with multiple myeloma (MM) are substantial, with cost of care and the factors involved differing across various phases of the disease care continuum, yet little is known about cost of care attributable to MM from a Medicare perspective. Objective: To estimate incremental phase-specific and lifetime costs and cost drivers among older adults with MM enrolled in fee-for-service Medicare. Design, Setting, and Participants: A retrospective cohort study was conducted using population-based registry data from the 2007-2015 Surveillance, Epidemiology, and End Results database linked with 2006-2016 Medicare administrative claims data. Data analysis included 4533 patients with newly diagnosed MM and 4533 matched noncancer Medicare beneficiaries from a 5% sample of Medicare to assess incremental MM lifetime and phase-specific costs (prediagnosis, initial care, continuing care, and terminal care) and factors associated with phase-specific incremental MM costs. The study was conducted from June 1, 2019, to April 30, 2021. Main Outcomes and Measures: Incremental MM costs were calculated for the disease lifetime and the following 4 phases of care: prediagnosis, initial, continuing care, and terminal. Results: Of the 4533 patients with MM included in the study, 2374 were women (52.4%), 3418 (75.4%) were White, and mean (SD) age was 75.8 (6.8) years (2313 [51.0%] aged ≥75 years). The characteristics of the control group were similar; however, mean (SD) age was 74.2 (8.8) years (2839 [62.6%] aged ≤74 years). Mean adjusted incremental MM lifetime costs were $184 495 (95% CI, $183 099-$185 968). Mean per member per month phase-specific incremental MM costs were estimated to be $1244 (95% CI, $1216-$1272) for the prediagnosis phase, $11 181 (95% CI, $11 052-$11 309) for the initial phase, $5634 (95% CI, $5577-$5694) for the continuing care phase, and $6280 (95% CI, $6248-$6314) for the terminal phase. Although inpatient and outpatient costs were estimated as the major cost drivers for the prediagnosis (inpatient, 55.8%; outpatient, 40.2%), initial care (inpatient, 38.1%; outpatient, 35.5%), and terminal (inpatient, 33.0%; outpatient, 34.6%) care phases, prescription drugs (44.9%) were the largest cost drivers in the continuing care phase. Conclusions and Relevance: The findings of this study suggest that there is substantial burden to Medicare associated with diagnosis and care among older adults with MM, and the cost of care and cost drivers vary across different phases of the cancer care continuum. The study findings might aid policy discussions regarding MM care and coverage and help further the development of alternative payment models for MM, accounting for differential costs across various phases of the disease continuum and their drivers.

Gender Disparities in Osteoporosis Screening and Management Among Older Adults.

INTRODUCTION: One in two women and one in four men experience an osteoporosis-related fracture in their lifetime. Related morbidity and mortality rates are higher in men versus women. Current guidelines are inconsistent in the screening recommendations for osteoporosis in men. Examination of gender disparities in the management of osteoporosis-related fractures among Medicare enrollees is currently lacking. METHODS: In this retrospective cohort study using 5% National Medicare claims data from January 1, 2012 through December 31, 2016, eligible patients who were at least 65 years of age on the date of a new fracture episode were classified into two mutually exclusive cohorts on the basis of whether they received testing and/or treatment for osteoporosis in the 6-month period after the new fracture episode. The cohorts were defined on the basis of the National Committee for Quality Assurance (NCQA) quality measure "osteoporosis management in women who had a fracture." Patients were followed to identify the occurrence of subsequent fracture, all-cause mortality, and a composite outcome-defined as the first occurrence of either subsequent fracture or mortality. Logistic regression models were carried out to identify predictors of testing and/or treatment and time-varying survival analysis to identify the relationship between the presence of testing and/or treatment and patient outcomes. RESULTS: Of the 35,774 eligible patients, only 10.2% (12.1% women and 5.7% men) received osteoporosis testing and/or treatment within 6 months after a fracture. The interaction between gender and fragility fracture was significant (P < 0.0001). Fragility fracture had greater adjusted odds of testing and/or treatment among men (adjusted odds ratio [AOR] 3.47; 95% CI 2.94-4.10) than women (AOR 1.65; 95% CI 1.53-1.79). Of patients who were eligible for the outcome assessment, 27.5% experienced a subsequent fracture, 23.2% died, and 44.3% experienced a composite outcome during follow-up. Patients who received testing and/or treatment had a significantly lower hazard of all-cause mortality (hazard ratio [HR] 0.57; 95% CI 0.50-0.65; P < 0.0001) and the composite outcome (HR 0.42; 95% CI 0.39-0.45; P < 0.0001), but no difference in the risk of subsequent fracture (HR 1.02; 95% CI 0.94-1.11; P = 0.6083). Men were found to have a significantly lower hazard of subsequent fracture (HR 0.69; 95% CI 0.64-0.73; P < 0.0001), all-cause mortality (HR 0.67; 95% CI 0.61-0.72; P < 0.0001), and the composite outcome (HR 0.69; 95% CI 0.65-0.73; P < 0.0001). CONCLUSION: Testing and/or treatment for osteoporosis among older adults with a fracture is poor in the Medicare fee-for-service population overall and worse for men compared to women. Receiving appropriate testing and/or treatment was associated with reduced mortality and the risk of composite outcome. Improving osteoporosis testing and/or treatment and reducing health disparities are essential for managing the clinical and economic burden of osteoporosis in the USA.

Patterns of Long-Term Prescription Opioid Use Among Older Adults in the United States: A Study of Medicare Administrative Claims Data.

BACKGROUND: Long-term opioid therapy was prescribed with increasing frequency over the past decade. However, factors surrounding long-term use of opioids in older adults remains poorly understood, probably because older people are not at the center stage of the national opioid crisis. OBJECTIVES: To estimate the annual utilization and trends in long-term opioid use among older adults in the United States. STUDY DESIGN: Retrospective cohort study. SETTING: Data from Medicare-enrolled older adults. METHODS: This study utilized a nationally representative sample of Medicare administrative claims data from the years 2012 to 2016 containing records of health care services for more than 2.3 million Medicare beneficiaries each year. Medicare beneficiaries who were 65 years of age or older and who were enrolled in Medicare Parts A, B, and D, but not Part C, for at least 10 months in a year were included in the study. We measured annual utilization and trends in new long-term opioid use episodes over 4 years (2013-2016). We examined claims records for the demographic characteristics of the eligible individuals and for the presence of chronic non-cancer pain (CNCP), cancer, and other comorbidities. RESULTS: From 2013 to 2016, administrative claims of approximately 2.3 million elderly Medicare beneficiaries were analyzed in each year with a majority of them being women (~56%) and white (~82%) with a mean age of approximately 75 years. The proportion of all eligible beneficiaries with at least one new opioid prescription increased from 6.64% in 2013, peaked at 10.32% in 2015, and then decreased to 8.14% in 2016. The proportion of individuals with long-term opioid use among those with a new opioid prescription was 12.40% in 2013 and 10.20% in 2016. Among new long-term opioid users, the proportion of beneficiaries with a cancer diagnosis during the study years increased from 13.30% in 2013 to 15.67% in 2016, and the proportion with CNCP decreased from 30.25% in 2013 to 27.36% in 2016. Across all years, long-term opioid use was consistently high in the Southern states followed by the Midwest region. LIMITATIONS: This study used Medicare fee-for-service administrative claims data to capture prescription fill patterns, which do not allow for the capture of individuals enrolled in Medicare Advantage plans, cash prescriptions, or for the evaluation of appropriateness of prescribing, or the actual use of medication. This study only examined long-term use episodes among patients who were defined as opioid-naive. Finally, estimates captured for 2016 could only utilize data from 9 months of the year to capture 90-day long-term-use episodes. CONCLUSIONS: Using a national sample of elderly Medicare beneficiaries, we observed that from 2013 to 2016 the use of new prescription opioids increased from 2013 to 2014 and peaked in 2015. The use of new long-term prescription opioids peaked in 2014 and started to decrease from 2015 and 2016. Future research needs to evaluate the impact of the changes in new and long-term prescription opioid use on population health outcomes.

Prevalence of and factors associated with violations of a campus smoke-free policy: a cross-sectional survey of undergraduate students on a university campus in the USA.

OBJECTIVE: The aim of this study is to estimate the prevalence of smoking behaviour on campus and to identify the key factors that influence adherence to a campus smoke-free policy. DESIGN & PARTICIPANTS: This study employed a cross-sectional, self-administered survey of undergraduate students at the University of Mississippi. A random sample of all available undergraduate classes was recruited for data collection. Students were provided a survey that included questions on demographics, alcohol use, smoking status, policy awareness, policy attitudes, smoking attitudes, policy support, barriers to policy success and policy violations. RESULTS: The prevalence of past 30-day smoking was 23%. More than 63% of current smokers report ever smoking on campus, but less than 10% ever received a warning or a ticket for their violation. Nearly all respondents (92.5%) reported witnessing someone smoking on campus, and 22% reported witnessing someone receiving a ticket. Barriers to policy success include lack of reminders about the policy, lack of support from students and University administrators, and insufficient fines. Smoking behaviour (OR: 7.96; 95% CI: 5.13 to 12.36), beliefs about policy adherence (OR: 0.52; 95% CI: 0.40 to 0.69), support for the policy (OR: 0.71; 95% CI: 0.55 to 0.91) and attitudes against smoking behaviour (OR: 0.35; 95% CI: 0.25 to 0.49) were all significantly associated with self-reported policy violations. CONCLUSIONS: This study found that violations of the campus smoke-free policy were fairly frequent and the policy has been largely ineffective, indicating a need for other interventions. Approaches to improve adherence to the policy should address barriers such as reminders about the policy, better policy enforcement and support from the administration.

Obesity Among High School Students in the United States: Risk Factors and Their Population Attributable Fraction.

INTRODUCTION: The prevalence of obesity among children and adolescents in the United States is high. The aim of this study was to assess the association between modifiable risk factors and obesity and to estimate the population attributable fractions (PAFs) of modifiable risk factors among high school students in the United States. METHODS: For this retrospective study, we used a nationally representative sample of 15,624 students who participated in the 2015 Youth Risk Behavior Survey (YRBS). Obesity was defined as body mass index at or above the 95th percentile, based on sex- and age-specific data from the Centers for Disease Control and Prevention. We examined unhealthy dietary behaviors, physical inactivity, and other modifiable risk factors (tobacco use, alcohol consumption, and sleep). We used multivariable logistic regression, accounting for the complex survey design of YRBS, to assess the association between risk factors and obesity and to calculate PAFs. Confidence intervals of PAFs were estimated by using the jackknife repeated replication method. RESULTS: Among all students included in the study, 13.9% were classified as obese. Not being on a sports team (odds ratio [OR], 1.61; 95% confidence interval [CI], 1.31-1.98), current tobacco use (OR, 1.42; 95% CI, 1.14-1.77), and watching television for 3 hours or more per day (OR, 1.38; 95% CI, 1.09-1.76) were significantly correlated with obesity. The combined PAF for all modifiable risk factors was 34.80% (95% CI, 32.09%-37.51%). The single modifiable risk factor with the largest PAF was not participating on a sports team (PAF, 16.57%; 95% CI, 15.30%-17.84%). CONCLUSION: Findings about PAFs help demonstrate the importance of promoting physical activity, healthy diet, and other healthy lifestyles in reducing obesity among high school students in the United States.

Factors Influencing the Use of Second-Generation Antipsychotics in Children with Psychosis.

BACKGROUND: In 2011, the U.S. Department of Health and Human Services sent a letter to state Medicaid directors explaining the need for oversight of psychiatric prescriptions for children with mental health disorders. The National Committee for Quality Alliance proposed 3 quality measures for rating managed care organizations (MCOs) that involve use of second-generation or atypical antipsychotics in children. In order to ensure appropriate use and to effectively manage the use of second-generation antipsychotics in children, MCOs need to better understand the factors that influence medication treatment decisions for children. OBJECTIVES: To (a) determine how patient-level and physician-level factors influence decisions to prescribe second-generation antipsychotics to children (aged under 18 years) diagnosed with psychosis and (b) evaluate how the influence of these factors may differ between primary care providers and psychiatrists. METHODS: This study employed a cross-sectional survey of 193 primary care providers and psychiatrists. A web-based patient simulation survey using a fractional factorial design was administered via a commercial vendor. Respondents were presented with simulated patient profiles described by various levels of factors considered to be essential to decision making. Respondents were asked to make treatment recommendations for each profile evaluated. In addition to treatment recommendations, demographics and beliefs about products were measured. Modified Poisson regression accounting for multilevel data was used to identify the factors that significantly affect treatment recommendations. RESULTS: Psychiatrists were more likely to recommend second-generation antipsychotics than primary care practitioners (unadjusted RR = 1.36, 95% CI = 1.23-1.51). Social factors such as foster status or parental concern were not found to be significant predictors of prescribing second-generation antipsychotics. The percentage of a provider's patients using second-generation antipsychotics (RR = 1.002, 95% CI = 1.0002-1.003), patient age (aged 4 years: RR = 0.75, 95% CI = 0.68-0.84; aged 10 years: RR = 0.94, 95% CI = 0.91-0.99; reference group: aged 15 years), and patient disease severity (severe: RR = 1.11, 95% CI = 1.04-1.18; moderate: RR = 1.10, 95% CI = 1.05-1.17; reference group: mild) significantly predicted prescription behavior among primary care providers and psychiatrists. Primary care providers were about twice as likely to recommend antipsychotics if they believed the use of antipsychotics was a labeled indication (RR = 2.16, 95% CI = 1.56-2.98) or a medically accepted use (RR = 1.88, 95% CI = 1.33-2.67), when compared with physicians who believed there was no evidence available. This effect was not significant among psychiatrists. Primary care providers, but not psychiatrists, were also significantly influenced by patient white blood cell (WBC) count. Patients with healthy WBC counts were 1.11 times as likely (95% CI = 1.05-1.17) to receive antipsychotics from primary care providers compared with those with low WBC count. Patient body mass index (BMI) was not found to significantly influence prescribing behavior. Nearly 50% of patients did not receive recommendations for psychosocial care. Primary care providers recommended antipsychotic polypharmacy in 23% of the patient profiles, while psychiatrists did so in 42% of the profiles. CONCLUSIONS: This study provides valuable insight into physician-prescribing practices for antipsychotics. The lack of significance of foster status and parental concern, after controlling for other factors, shows that physicians base their decisions on clinical factors more than social factors. Results for patient BMI and frequency of recommendations of polypharmacy are concerning. The general lack of awareness of evidence supporting use of antipsychotics is also highly concerning. The effects of patient BMI, beliefs about evidence supporting use, and prescribing practices with regard to psychosocial care and antipsychotic polypharmacy provide actionable results for managed care programs looking to improve their quality metrics. The results of this study further demonstrate the need for the immediate implementation of the various proposed quality metrics in this area and for new practice guidelines to raise the current standard of care. DISCLOSURES: No outside funding supported this research. Bentley reports the receipt of grants from PQA and the NACDS Foundation. Patel is employed by Medical Marketing Economics. The authors report no other conflicting interests, potential or otherwise. Study concept and design were contributed by Ramachandran, Banahan, West-Strum, and Bentley. Ramachandran, Banahan, and Patel collected data; data interpretation was performed primarily by Ramachandran, Banahan, and Patel, along with Bentley and West-Strum. The manuscript was primarily written by Ramachandran, along with Banahan and Bentley, and revised by Banahan, Bentley, West-Strum, and Patel.