State-level policies and receipt of CDC-informed opioid thresholds among commercially insured new chronic opioid users.

OBJECTIVES: To evaluate the association of state-level policies on receipt of opioid regimens informed by Centers for Disease Control and Prevention (CDC) morphine milligram equivalent (MME)/day recommendations. DESIGN: A retrospective cohort study of new chronic opioid users (NCOUs). SETTING: Commercially insured plans across the United States using IQVIA PharMetrics® Plus for Academics database with new chronic use between January 2014 and March 2015. PARTICIPANTS: NCOUs with ≥60-day coverage of opioids within a 90-day period with ≥30-day opioid-free period prior to the date of the first qualifying opioid prescription. INTERVENTIONS: State-level policies including Prescription Drug Monitoring Program (PDMP) robustness and cannabis policies involving the presence of medical dispensaries and state-wide decriminalization. MAIN OUTCOME MEASURES: NCOUs were placed in three-tiered risk-based average MME/day thresholds: low (>0 to <50), medium (≥50 to <90), and high (≥90). Multinomial logistic regression was used to estimate the association of state-level policies with the thresholds while adjusting for relevant patient-specific factors. RESULTS: NCOUs in states with medium or high PDMP robustness had lower odds of receiving medium (adjusted odds ratio [AOR] 0.74; 95 percent confidence interval [CI]: 0.62-0.69) and high (AOR 0.74; 95 percent CI: 0.59-0.92) thresholds. With respect to cannabis policies, NCOUs in states with medical cannabis dispensaries had lower odds of receiving high (AOR 0.75; 95 percent CI: 0.60-0.93) thresholds, while cannabis decriminalization had higher odds of receiving high (AOR 1.24; 95 percent CI: 1.04-1.49) thresholds. CONCLUSION: States with highly robust PDMPs and medical cannabis dispensaries had lower odds of receiving higher opioid thresholds, while cannabis decriminalization correlated with higher odds of receiving high opioid thresholds.

Short-term healthcare resource utilization associated with receipt of CDC-informed opioid thresholds among commercially insured new chronic opioid users.

OBJECTIVE: To evaluate the impact of recent changes to the Centers for Disease Control and Prevention (CDC) morphine milligram equivalent (MME)/day threshold recommendations on healthcare utilization. DESIGN: A retrospective cohort study of new chronic opioid users (NCOUs). SETTING: Commercially insured plans across the United States using IQVIA PharMetrics® Plus for Academics database with new use between January 2014 and March 2015. PATIENTS: NCOUs with ≥60-day coverage of opioids within a 90-day period with ≥30-day opioid-free period prior to the date of the first qualifying opioid -prescription. INTERVENTIONS: NCOU categorized by the CDC three-tiered risk-based average MME/day thresholds: low (>0 to <50), medium (≥50 to <90), and high (≥90). MAIN OUTCOME MEASURES: Multivariable logistic regression was used to calculate adjusted odds of incurring an acute care encounter (ACE) (all-cause and opioid-related) between the thresholds (adjusted odds, 95 percent confidence interval). RESULTS: In adjusted analyses, when compared to low threshold, there was no difference in the odds of all-cause ACE across the medium (1.01, 0.94-1.28) and high (1.01, 0.84-1.22) thresholds. When compared to low threshold, a statistically insignificant increase was observed when evaluating opioid-related ACE among medium (1.86, 0.86-4.02) and high (1.51, 0.65-3.52) thresholds. CONCLUSIONS: There was no difference in odds of an all-cause or opioid-related ACE associated with the thresholds. Early-intervention programs and policies exploring reduction of MME/day among NCOUs may not result in short-term reduction in all-cause or opioid-related ACEs. Further assessment of potential long-term reduction in ACEs among this cohort may be insightful.

The Lived Experiences of Pregnant and Parenting Women in Recovery Toward Medication Treatment for Opioid Use Disorder.

BACKGROUND: Maternal misuse of prescription opioids and illicit drugs such as, heroin and non-pharmaceutical fentanyl analogs has increased in the last 2 decades and one in 5 women reported misuse of opioids. Medications for opioid use disorder (MOUD) are recommended for treating pregnant women with opioid use disorder (OUD). MOUD is effective in reducing cravings and negative outcomes, yet treatment is underutilized and varies in integration and intensity of resources across health systems. Exploring perceptions of MOUD delivery among pregnant/parenting women promises to uncover and address the underlying challenges to treatment, a perspective that may be different for providers and stakeholders. Therefore, our main purpose is to elicit patients' experiences and perceptions of MOUD, associated access to treatment, and availability of supportive resources during pregnancy/postpartum to inform OUD treatment. METHODS: Through a qualitative research approach we gathered data from individual interviews/focus group discussions for this pilot study. Pregnant and postpartum parenting women (n = 17) responded to questions related to perceptions of MOUD, access to treatment, and availability of social and psychosocial resources. Data were collected, transcribed, and coded (by consensus) and emerging themes were analyzed using grounded theory methodology. RESULTS: Emerging themes revealed positive uptake and perceptions of MOUD, continuing gaps in knowledge, negative impact of stigmatization, and limited access to programs and resources. Supportive relationships from family, peers, healthcare providers and child welfare staff, and co-located services were perceived as positive motivators to recovery. CONCLUSIONS: Through the unique lenses of women with lived experience, this study revealed several themes that can be transformative for women. Overall perceptions of MOUD were positive and likely to facilitate uptake and promote positive recovery outcomes. Bridging knowledge gaps will reduce anxieties, fears about neonatal opioid withdrawal syndrome and adverse maternal outcomes. Additionally, a deeper understanding of stigmatization and relationships can inform an integrated patient-centered approach to OUD treatment.

Disparities in maternal mortality.

Maternal mortality rates in the USA remain high, with persistent racial and socioeconomic disparities. We identified 207,016 hospital admissions for pregnant women in Maryland, from 2017 to 2019. Logistic regression was used to identity factors associated with maternal death. The health outcome for black women was more prone to give rise to maternal mortality than for white women. Our study revealed numerous racial and age discrepancies in gestational health outcomes, which opioid use disorder exacerbated. Our findings elaborate on the importance of identifying the drivers of adverse pregnancy outcomes, to help inform policy, and resource allocations.

The association of major adverse limb events and combination stent and atherectomy in patients undergoing revascularization for lower extremity peripheral artery disease.

BACKGROUND: The effectiveness of combined atherectomy and stenting relative to use of each procedure alone for the treatment of lower extremity peripheral artery disease has not been evaluated. AIMS: The objective of this study was to evaluate the short- and long-term major adverse limb event (MALE) following the receipt of stenting, atherectomy, and the combination of stent and atherectomy. METHODS: A retrospective cohort of patients undergoing atherectomy, stent, and combination stent atherectomy for lower extremity peripheral artery disease was derived from the Vascular Quality Initiative (VQI) data set. The primary outcome was MALE and was assessed in the short-term and long-term. Short-term MALE was assessed immediately following the procedure to discharge and estimated using logistic regression. Long-term MALE was assessed after discharge to end of follow-up and estimated using the Fine-Gray subdistribution hazard model. RESULTS: Among the 46,108 included patients, 6896 (14.95%) underwent atherectomy alone, 35,774 (77.59%) received a stent, and 3438 (7.5%) underwent a combination of stenting and atherectomy. The adjusted model indicated a significantly higher odds of short-term MALE in the atherectomy group (OR = 1.35; 95% confidence interval [CI]:1.16-1.57), and not significantly different odds (OR = 0.93; 95% CI:0.77-1.13) in the combination stent and atherectomy group when compared to stenting alone. With regard to long-term MALE, the model indicated that the likelihood of experiencing the outcome was slightly lower (HR = 0.90; 95% CI:0.82-0.98) in the atherectomy group, and not significantly different (HR = 0.92; 95% CI:0.82-1.04) in the combination stent and atherectomy group when compared to the stent group. CONCLUSIONS: Patients in the VQI data set who received combination stenting and atherectomy did not experience significantly different rates of MALE when compared with stenting alone. It is crucial to consider and further evaluate the influence of anatomical characteristics on treatment strategies and potential differential effects of comorbidities and other demographic factors on the short and long-term MALE risks.

Social determinants of health, substance use, and drug overdose prevention.

BACKGROUND: Fatal drug overdoses, now primarily driven by illicit opioids like fentanyl, continue to increase in the United States, reflecting a growing need for prevention and treatment strategies. Preventive interventions have primarily focused on curbing opioid prescribing, and treatment strategies target individuals. However, little is known about the broader social context surrounding these individuals. OBJECTIVE: This study examines the association between drug overdose mortality and social determinants of health (SDOH) across different levels of influence in the social-ecological model. METHODS: Data on drug overdose death and SDOH were collected at the county level for most mid-Atlantic states in 2019. Association between each characteristic and drug overdose mortality was measured through a bivariate analysis. Furthermore, a multivariate analysis was performed to detect risk factors of drug overdose death while adjusting for multiple comparisons. All statistical analyses were performed with SAS version 9.4. RESULTS: SDOH, including violent crime (P < 0.001), access to the Internet (P < 0.001), per capita income (P < 0.001), social vulnerability index (P = 0.001), and access to health care (P < 0.001), demonstrated a statistically significant positive association with drug overdose death. In contrast, vacancy rate was negatively associated with drug overdose mortality (P < 0.001). The association between drug overdose deaths and opioid prescription rates was not statistically significant (P = 0.412). CONCLUSION: Factors such as violent crime and social vulnerability demonstrated a statistically significant impact on drug overdose mortality. To address drug overdose crisis, health care system, community leaders, and policy makers' strategies should focus on socially vulnerable populations.

Data sources and applied methods for paclitaxel safety signal discernment.

Background: Following the identification of a late mortality signal, the Food and Drug Administration (FDA) convened an advisory panel that concluded that additional clinical study data are needed to comprehensively evaluate the late mortality signal observed with the use of drug-coated balloons (DCB) and drug-eluting stent (DES). The objective of this review is to (1) identify and summarize the existing clinical and cohort studies assessing paclitaxel-coated DCBs and DESs, (2) describe and determine the quality of the available data sources for the evaluation of these devices, and (3) present methodologies that can be leveraged for proper signal discernment within available data sources. Methods: Studies and data sources were identified through comprehensive searches. original research studies, clinical trials, comparative studies, multicenter studies, and observational cohort studies written in the English language and published from January 2007 to November 2021, with a follow-up longer than 36 months, were included in the review. Data quality of available data sources identified was assessed in three groupings. Moreover, accepted data-driven methodologies that may help circumvent the limitations of the extracted studies and data sources were extracted and described. Results: There were 39 studies and data sources identified. This included 19 randomized clinical trials, nine single-arm studies, eight registries, three administrative claims, and electronic health records. Methodologies focusing on the use of existing premarket clinical data, the incorporation of all contributed patient time, the use of aggregated data, approaches for individual-level data, machine learning and artificial intelligence approaches, Bayesian approaches, and the combination of various datasets were summarized. Conclusion: Despite the multitude of available studies over the course of eleven years following the first clinical trial, the FDA-convened advisory panel found them insufficient for comprehensively assessing the late-mortality signal. High-quality data sources with the capabilities of employing advanced statistical methodologies are needed to detect potential safety signals in a timely manner and allow regulatory bodies to act quickly when a safety signal is detected.

County-Level COVID-19 Vaccination Rates, Non-Communicable Diseases, and Socioeconomic Inequities: Applying Syndemic Theory to Vaccines.

INTRODUCTION: The coronavirus disease 2019 (COVID-19) pandemic has disproportionately affected certain high-risk populations, including those with underlying chronic illnesses and those who are socioeconomically disadvantaged. METHODS: Our study evaluated county-level rates of fully vaccinated populations after classifying counties based on rates of non-communicable diseases (NCDs) and socioeconomic inequities below the 25th percentile of overall distribution of counties for each measure as low, counties above the 75th percentile as high, and all other counties as medium. RESULTS: Counties with higher rates of non-communicable diseases and socioeconomic disparities had lower COVID-19 vaccination coverage than did counties with lower rates of non-communicable diseases and socioeconomic disparities. Co-occurrence of high NCD and high socioeconomic vulnerability among counties in the lower half of vaccination coverage was also found for some counties. CONCLUSION: These findings demonstrate the co-occurrence of low rates of vaccine coverage, high rates of NCDs, and high rates of socioeconomic disparities as a syndemic.

Methodological Comparison of Mapping the Expanded Prostate Cancer Index Composite to EuroQoL-5D-3L Using Cross-Sectional and Longitudinal Data: Secondary Analysis of NRG/RTOG 0415.

PURPOSE: To compare the predictive ability of mapping algorithms derived using cross-sectional and longitudinal data. METHODS: This methodological assessment used data from a randomized controlled noninferiority trial of patients with low-risk prostate cancer, conducted by NRG Oncology (ClinicalTrials.gov identifier: NCT00331773), which examined the efficacy of conventional schedule versus hypofractionated radiation therapy (three-dimensional conformal external beam radiation therapy/IMRT). Health-related quality-of-life data were collected using the Expanded Prostate Cancer Index Composite (EPIC), and health utilities were obtained using EuroQOL-5D-3L (EQ-5D) at baseline and 6, 12, 24, and 60 months postintervention. Mapping algorithms were estimated using ordinary least squares regression models through five-fold cross-validation in baseline cross-sectional data and combined longitudinal data from all assessment periods; random effects specifications were also estimated in longitudinal data. Predictive performance was compared using root mean square error. Longitudinal predictive ability of models obtained using baseline data was examined using mean absolute differences in the reported and predicted utilities. RESULTS: A total of 267 (and 199) patients in the estimation sample had complete EQ-5D and EPIC domain (and subdomain) data at baseline and at all subsequent assessments. Ordinary least squares models using combined data showed better predictive ability (lowest root mean square error) in the validation phase for algorithms with EPIC domain/subdomain data alone, whereas models using baseline data outperformed other specifications in the validation phase when patient covariates were also modeled. The mean absolute differences were lower for models using EPIC subdomain data compared with EPIC domain data and generally decreased as the time of assessment increased. CONCLUSION: Overall, mapping algorithms obtained using baseline cross-sectional data showed the best predictive performance. Furthermore, these models demonstrated satisfactory longitudinal predictive ability.

COVID-19 pandemic and telemental health policy reforms.

Many patients with mental disorders lack access to care mainly due to provider shortages. Coronavirus disease 2019 (COVID-19) pandemic significantly raised the prevalence of anxiety, depression, substance use disorder and suicidal thoughts among people. Mandated social distancing, and higher incidence of mental disorders increased the demand for Telemental Health (TMH). TMH expands access to care and can be an effective alternative to the costly conventional mental health care. However, there are barriers to the adoption of TMH such as reimbursement challenges, and licensure restrictions. During the COVID-19 pandemic, some policies and regulations changed to address the increase in TMH demand. The federal government increased funding for the new telehealth initiatives and more states legalized the interstate practice for psychologists. Medicare waived telehealth co-payments, reimbursed audio-only visits, and required payment parities between virtual and in-person visits. Nevertheless, Medicare maintained in-person visit prerequisite within the six months prior to the first time only for mental health treatments which can act as a hindrance. Additionally, four more states required telehealth coverage, 33 states required Medicaid plans, and 21 states required private insurers to cover TMH services. Ten states mandated payment parity for private insurers, and four states eliminated cost-sharing for telehealth services. Currently, 21 states are implementing payment parity on a permanent basis. During the pandemic, 78% of Mental health providers integrated TMH services into their practice. Despite the decline in use of telehealth for other health conditions after the pandemic peak, TMH use has remained strong representing 36% of outpatient visits. TMH is beneficial to patients in terms of cost and time saving; thus, the beneficiary regulatory changes should be sustained. Further well-designed studies are needed on the cost-effectiveness of telehealth interventions, and policymakers need to collect more data to decide whether and how to keep these changes permanently for TMH.

Mapping expanded prostate cancer index composite to EQ5D utilities to inform economic evaluations in prostate cancer: Secondary analysis of NRG/RTOG 0415.

PURPOSE: The Expanded Prostate Cancer Index Composite (EPIC) is the most commonly used patient reported outcome (PRO) tool in prostate cancer (PC) clinical trials, but health utilities associated with the different health states assessed with this tool are unknown, limiting our ability to perform cost-utility analyses. This study aimed to map EPIC tool to EuroQoL-5D-3L (EQ5D) to generate EQ5D health utilities. METHODS AND MATERIALS: This is a secondary analysis of a prospective, randomized non-inferiority clinical trial, conducted between 04/2006 and 12/2009 at cancer centers across the United States, Canada, and Switzerland. Eligible patients included men >18 years with a known diagnosis of low-risk PC. Patient HRQoL data were collected using EPIC and health utilities were obtained using EQ5D. Data were divided into an estimation sample (n = 765, 70%) and a validation sample (n = 327, 30%). The mapping algorithms that capture the relationship between the instruments were estimated using ordinary least squares (OLS), Tobit, and two-part models. Five-fold cross-validation (in-sample) was used to compare the predictive performance of the estimated models. Final models were selected based on root mean square error (RMSE). RESULTS: A total of 565 patients in the estimation sample had complete information on both EPIC and EQ5D questionnaires at baseline. Mean observed EQ5D utility was 0.90±0.13 (range: 0.28-1) with 55% of patients in full health. OLS models outperformed their counterpart Tobit and two-part models for all pre-determined model specifications. The best model fit was: "EQ5D utility = 0.248541 + 0.000748*(Urinary Function) + 0.001134*(Urinary Bother) + 0.000968*(Hormonal Function) + 0.004404*(Hormonal Bother)- 0.376487*(Zubrod) + 0.003562*(Urinary Function*Zubrod)"; RMSE was 0.10462. CONCLUSIONS: This is the first study to identify a comprehensive set of mapping algorithms to generate EQ5D utilities from EPIC domain/ sub-domain scores. The study results will help estimate quality-adjusted life-years in PC economic evaluations.

Opioid use disorder in pregnancy: leveraging provider perceptions to inform comprehensive treatment.

BACKGROUND: Medications for opioid use disorder (MOUD) are recommended with adjuvant behavioral therapies, counseling, and other services for comprehensive treatment of maternal opioid use disorder. Inadequate access to treatment, lack of prescribing providers and complex delivery models are among known barriers to care. Multi-disciplinary provider input can be leveraged to comprehend factors that facilitate or inhibit treatment. The objective of this study is to explore provider perceptions of MOUD and factors critical to comprehensive treatment delivery to improve the care of pregnant women with opioid use disorder. METHODS: A qualitative research approach was used to gather data from individual provider and group semi-structured interviews. Providers (n = 12) responded to questions in several domains related to perceptions of MOUD, treatment delivery, access to resources, and challenges/barriers. Data were collected, transcribed, coded (by consensus) and emerging themes were analyzed using grounded theory methodology. RESULTS: Emerging themes revealed persistent gaps in treatment and challenges in provider, health systems and patient factors. Providers perceived MOUD to be a "lifeline" to women. CONCLUSIONS: Inconsistencies in treatment provision, access and uptake can be improved by leveraging provider perceptions, direct experiences and recommendations for an integrated team-based, patient-centered approach to guide the care of pregnant women with opioid use disorder.

What motivates people with substance use disorders to pursue treatment? A patient-centered approach to understanding patient experiences and patient-provider interactions.

OBJECTIVES: To identify and define potential positive and negative factors in patient experiences and patient-provider interactions that are associated with the pursuit and maintenance of treatment by those suffering from substance use disorders (SUD). METHODS: Two focus groups with patients in treatment for SUD were performed. The focus groups focused on questions aimed at mapping factors associated with initiating and maintaining treatment along the transtheoretical model of change. Four in-depth interviews with healthcare providers involved in the treatment of patients with SUD were also conducted to understand providers' perspective on similar factors. RESULTS: Fourteen patients were included in the focus groups. Patients identified their life prior to treatment as chaotic and further identified internal and external factors that influenced seeking treatment. The four healthcare providers identified primarily social issues such as lack of housing as an external barrier. Both patients and providers cited the importance of a trusting and empathetic relationship between the patient and providers, as well as the patient's willingness to change as primary motivating factors for the initiation and maintenance of treatment. CONCLUSIONS: From a patient and provider perspective, facilitators and barriers for initiating and maintaining may vary by person and are multifactorial.

Association of Criminal Statutes for Opioid Use Disorder With Prevalence and Treatment Among Pregnant Women With Commercial Insurance in the United States.

Importance: Inadequate treatment of opioid use disorder (OUD) in pregnant women increases the risk of life-threatening consequences on maternal and fetal outcomes. Untreated OUD during pregnancy is associated with higher rates of adverse outcomes among newborns. Objective: To examine the variation in the prevalence of OUD and the use of medication-assisted treatment among commercially insured pregnant women according to region and state legislature. Design, Setting, and Participants: Cohort study in which the patient cohort used was derived from a 10% random sample of enrollees within the IQVIA PharMetrics Plus adjudicated claims and enrollment database from 2007 to 2015. The database consists of a 10% random sample of private health insurance recipients in the United States and contains claims and enrollment data that are representative of the commercially insured US population. The cohort comprised women (n = 110 285) between 18 and 45 years of age with a code indicating a delivery and continuous insurance enrollment 9 months before and 12 months after delivery. Data analysis was performed from December 2017 to May 2018. Exposures: Based on their state of residence, the women were classified into 4 different regions: South, Midwest, West, and Northeast. Those residing in states with statutes that imposed civil or criminal penalties for OUD diagnosis during pregnancy were placed in a separate population from those residing in states without these statutes. Main Outcomes and Measures: Diagnosis of OUD in the 9 months before delivery and the receipt of medication-assisted treatment in the 9 months before or 12 months after delivery. Results: The 110 285 pregnant women included in the analysis had a mean (SD) age of 30.26 (5.59) years, with most (67 771 [61.5%]) falling within the 26- to 35-year age range. Of this cohort, 277 women (0.25%) had a diagnosis of OUD and 312 (0.28%) received treatment. Among the 277 women with OUD, 127 (45.9%) received treatment. The prevalence of an OUD diagnosis and receipt of treatment within regions was statistically significant (OUD diagnosis by region: Midwest, 0.05%; North, 0.09%; South, 0.06%; West, 0.06%; χ23 = 45.1148 [P < .001]; OUD treatment by region: Midwest, 0.05%; North, 0.08%; South, 0.10%; West, 0.05%; χ23 = 26.5654 [P < .001]). The prevalence of OUD diagnosis was also statistically significant when comparing women residing in states with statutes with those in states without statutes (OUD diagnosis by criminal statutes: criminalization, 0.07%; no criminalization, 0.18%; χ21 = 14.6456 [P < .001]; OUD treatment by criminal statutes: criminalization, 0.12%; no criminalization, 0.17%; χ21 = 0.0895); the receipt of treatment was not statistically significant (P = .76). Conclusions and Relevance: These results appeared to show significant variations in the patterns of OUD diagnosis and receipt of medication-assisted treatment among pregnant women, suggesting the need to further explore the source of these variations.

Consumer Health Information Technology in the Prevention of Substance Abuse: Scoping Review.

BACKGROUND: Addiction is one of the most rapidly growing epidemics that currently plagues nations around the world. In the United States, it has cost the government more than US $700 billion a year in terms of health care and other associated costs and is also associated with serious social, physical, and mental consequences. Increasing efforts have been made to tackle this issue at different levels, from primary prevention to rehabilitation across the globe. With the use of digital technology rapidly increasing, an effort to leverage the consumer health information technologies (CHITs) to combat the rising substance abuse epidemic has been underway. CHITs are identified as patient-focused technological platforms aimed to improve patient engagement in health care and aid them in navigating the complex health care system. OBJECTIVE: This review aimed to provide a holistic and overarching view of the breadth of research on primary prevention of substance abuse using CHIT conducted over nearly past five decades. It also aimed to map out the changing landscape of CHIT over this period. METHODS: We conducted a scoping review using the Arksey and O'Malley's modified methodological framework. We searched 4 electronic databases (PubMed, Cochrane, Scopus, and EMBASE). Papers were included if the studies addressed the use of CHIT for primary prevention of substance abuse and were published in English between 1809 and 2018. Studies that did not focus solely on primary prevention or assessed additional comorbid conditions were eliminated. RESULTS: Forty-two papers that met our inclusion criteria were included in the review. These studies were published between 1970 and 2018 and were not restricted by geography, age, race, or sex. The review mapped studies using the most commonly used CHIT platforms for substance abuse prevention from mass media in the 1970s to mobile and social media in 2018. Moreover, 191 studies that were exclusively focused on alcohol prevention were excluded and will be addressed in a separate paper. The studies included had diverse research designs although the majority were randomized controlled trials (RCT) or review papers. Many of the RCTs used interventions based on different behavioral theories such as family interactions, social cognitive theories, and harm-minimization framework. CONCLUSIONS: This review found CHIT platforms to be efficacious and cost-effective in the real-world settings. We also observed a gradual shift in the types and use of CHIT platforms over the past few decades and mapped out their progression. In addition, the review detected a shift in consumer preferences and behaviors from face-to-face interactions to technology-based platforms. However, the studies included in this review only focused on the aspect of primary prevention. Future reviews could assess the effectiveness of platforms for secondary prevention and for prevention of substance abuse among comorbid populations.

Cardiovascular Events Following Treatment Initiation with Atypical Antipsychotic Medications in Publicly Insured U.S. Youth.

OBJECTIVE: To assess the risk of incident cardiovascular events that led to hospitalizations or emergency department visits following atypical antipsychotic (AAP) treatment initiation in youth according to dose, duration of use, and concomitant use of leading psychotropic medication classes. METHODS: We used computerized Medicaid claims to conduct a retrospective cohort study of youth (5-20 years) who initiated AAP treatment. AAP use was operationalized in a time-dependent manner according to current vs. former use, average daily dose (in risperidone dose equivalents), and duration of use. In a secondary analysis, concomitant use of (1) stimulants and (2) serotonin-reuptake inhibitors (SSRI/SNRIs) with AAPs was also assessed. To account for confounding, disease risk score methodology was used in discrete time failure models. RESULTS: There were 74,700 youth who initiated AAP treatment (average follow-up = 24.8 months). During follow-up, the risk of cardiovascular events was significantly greater during current than former AAP use (RR = 1.55, 95% CI = 1.09-2.21). Furthermore, for current users of AAPs, the risk of cardiovascular events intensified with average daily dose (RR = 2.04, 95% CI = 1.11-3.77 for >3.75 mg/day vs. ≤1.25 mg/day). The risk of cardiovascular events did not significantly differ according to duration of AAP use. In AAP-treated youth, concomitant SSRI/SNRI use was associated with an increased risk of cardiovascular events (RR = 1.61, 95% CI = 1.01-2.57). By contrast, stimulant use concomitant with AAPs was not significantly associated with an increased risk of cardiovascular events. CONCLUSIONS: In publicly insured U.S. youth, current AAP use was associated with an increased risk of incident cardiovascular events, which intensified with increasing dose and with concomitant SSRI/SNRI use. Prudent interpretation of these findings suggests that further research is needed to identify youth subpopulations with the greatest risk of developing AAP treatment-emergent cardiovascular events.

Palivizumab Prophylaxis for Respiratory Syncytial Virus: Examining the Evidence Around Value.

Respiratory syncytial virus (RSV) infection is the most common cause of lower respiratory tract infection and the leading cause of hospitalization among young children, incurring high annual costs among US children under the age of 5 years. Palivizumab has been found to be effective in reducing hospitalization and preventing serious lower respiratory tract infections in high-risk infants. This paper presents a systematic review of the cost-effectiveness studies of palivizumab and describes the main highlights of a round table discussion with clinical, payer, economic, research method, and other experts. The objectives of the discussion were to (1) review the current state of clinical, epidemiology, and economic data related to severe RSV disease; (2) review new cost-effectiveness estimates of RSV immunoprophylaxis in US preterm infants, including a review of the field's areas of agreement and disagreement; and (3) identify needs for further research.

Future Considerations for the Evaluation of Hepatitis C Virus Treatments in Pan-Genotypic Therapy for Noncirrhotic Treatment-Naive Patients.

Given the recent approval of the first pan-genotypic chronic hepatitis C virus (HCV) therapy, managed care, health systems, and clinicians will need to evaluate current practices related to essential laboratory assessments used to select therapy. Historically, clinicians and payers required a battery of tests to determine HCV genotype, viral load, degree of fibrosis, and organ function. In light of current and forthcoming approvals of pan-genotypic therapy, clinicians and payers can expect a more competitive marketplace and a downward curve in the price of therapy. Ultimately, this development will lead to the cost of screenings and assessments having an increased role in selecting an optimal HCV therapy. DISCLOSURES: No outside funding supported this study. The authors have nothing to disclose. All authors contributed to study concept and design. Calabrese took the lead in data collection, along with Shaya. Data interpretation was performed by Calabrese and Hynicka, along with Rodriguez de Bittner and Shaya. The manuscript was written and revised by Calabrese and Hynicka, along with Rodriguez de Bittner and Shaya.