40 research outputs found

    What Makes People Generally Satisfied with Mental Health Services? Findings of 2010 Consumer Satisfaction Survey in Kentucky Community Mental Health Centers

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    Problem: In 2010, the Kentucky Cabinet for Health and Family Services, Department for Behavioral Health Developmental and Intellectual Disabilities (BHDID) conducted a survey to evaluate consumers’ satisfaction with services delivered at the Community Mental Health Centers (CMHCs) in Kentucky. The purpose of this study is to identify factors that predict clients’ perception on General Satisfaction using responses of the survey. Research Design: Two separate logistic regression analysis were performed for adult and youth survey respondents, respectively. For the Adult survey, respondents’ characteristics and their responses about several aspects of services were included as potential explanatory variables. For the Youth survey, since caregivers participated in the survey, their responses about several aspects of services that their children received, the youth patients’ characteristics and medical/social backgrounds were used as explanatory variables. Major Findings: In the Adult survey, responses to the domains of Access, Quality and Participation in Treatment Planning significantly affect clients’ perception on General Satisfaction. In Youth survey, the domains of Access, Cultural Sensitivity, Participation in Treatment Planning and Social Connectedness are significantly associated with responses to General Satisfaction. Respondents who positively indicate those domains of services are more likely to answer positively as generally satisfied. Recommendations: Based on the analysis in this report, improvement in certain domain of services, especially Access, Quality (Adult)/Cultural Sensitivity (Youth), Participation in Treatment Planning and Social Connectedness (Youth) that were shown to be related with “General Satisfaction” could increase the level of positive responses

    THE OFF-LABEL USE OF ATYPICAL ANTIPSYCHOTICS AND ITS IMPACT ON ATTENTION DEFICIT/HYPERACTIVITY DISORDER (ADHD)

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    Atypical antipsychotics (AAPs) (also known as second-generation antipsychotics) are the US Food and Drug Administration (FDA) approved medications for schizophrenia, bipolar I disorder, depression and autism. Compared to the typical antipsychotics, AAPs were marketed as reducing adverse side effects such as extrapyramidal symptoms. This resulted in extensive use of AAPs for not only the FDA approved indications but also other conditions that are not approved. However, several post-marketing clinical trials evaluated the use of AAPs and reported serious adverse side effects, including metabolic syndrome, cardiovascular events, or death. The extensive use of AAPs by pediatrics is an important policy problem that imposes serious concerns on public health and economy in the US. A large proportion of total pediatric AAP use is off-label in which the safety and effectiveness are not yet established. Moreover, among the off-label conditions for which AAPs were used, ADHD was the most common primary mental diagnosis. From public health perspective, the risk of type II diabetes in pediatric AAP users was estimated. A retrospective cohort study was conducted and a twice higher risk of developing type II diabetes was estimated for AAP users compared to non-users in pediatrics. From economic efficiency perspective, the cost-effectiveness of AAPs compared to other ADHD medications in pediatric ADHD patients was estimated. Among non-stimulant ADHD medication treatment strategies, AAPs resulted in the lower expected health outcome than other ADHD medications. Also, AAPs were not a favored choice with respect to cost-effectiveness. A comparative effectiveness study that compares resource utilization and costs between atypical antipsychotic (AAP) users and non-AAP users in ADHD revealed that AAP users were likely to visit a healthcare facility for outpatient and inpatient services more frequently than non-AAP users. Total health care costs were significantly higher for AAP users with additional costs of 1,393(2012dollars)duringsixmonthsand1,393 (2012 dollars) during six months and 2,784 (2012 dollars) during a year after initiating the AAP treatment

    National Trends in Off-Label Use of Atypical Antipsychotics in Children and Adolescents in the United States

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    The objectives of the study were as follows: to examine the national trend of pediatric atypical antipsychotic (AAP) use in the United States; to identify primary mental disorders associated with AAPs; to estimate the strength of independent associations between patient/provider characteristics and AAP use. Data are from the National Ambulatory Medical Care Survey and the National Hospital Ambulatory Medical Care Survey. First, average AAP prescription rates among 4 and 18-year-old patients between 1993 and 2010 were estimated. Second, data from 2007 to 2010 were combined and analyzed to identify primary mental disorders related to AAP prescription. Third, a multivariate logistic regression model was developed having the presence of AAP prescription as the dependent variable and patient/provider characteristics as explanatory variables. Adjusted odds ratios (AORs) with associated 95% confidence intervals (CIs) were estimated. Outpatient visits including an AAP prescription among 4 to 18-year-old patients significantly increased between 1993 and 2010 in the United States, and over 65% of those visits did not have diagnoses for US Food and Drug Administration-approved AAP indications. During 2007 to 2010, the most common mental disorder was attention-deficit hyperactivity disorder, accounting for 24% of total pediatric AAP visits. Among visits with attention-deficit hyperactivity disorder diagnosis, those with Medicaid as payer (AOR 1.66, 95% CI 1.01–2.75), comorbid mental disorders (e.g., psychoses AOR 3.34, 95% CI 1.35–8.26), and multiple prescriptions (4 or more prescriptions AOR 4.48, 95% CI 2.08–9.64) were more likely to have an AAP prescription. The off-label use of AAPs in children and adolescents is prevalent in the United States. Our study raises questions about the potential misuse of AAPs in the population

    Medicare-Paid Naloxone: Trends in Non-Metropolitan and Metropolitan Areas

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    Overview of Key Findings Medicare pays for the largest share (\u3e 30%) of naloxone dispensed from retail pharmacies in non-metropolitan areas. Medicare-paid dispensing has grown since 2013, but from 2017-2018 dispensing growth in non-metropolitan areas slowed considerably compared to metropolitan areas (42% v 121%, respectively). As of 2018, the rate of naloxone dispensing to Medicare enrollees in metropolitan areas was approximately double that in non-metropolitan areas (4.9 v 2.9 per 1,000 enrollees, respectively)

    Association of Naloxone Coprescription Laws With Naloxone Prescription Dispensing in the United States

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    Importance: To mitigate the opioid overdose crisis, states have implemented a variety of legal interventions aimed at increasing access to the opioid antagonist naloxone. Recently, Virginia and Vermont mandated the coprescription of naloxone for potentially at-risk patients. Objective: To assess the association between naloxone coprescription legal mandates and naloxone dispensing in retail pharmacies. Design, Setting, and Participants: This was a population-based, state-level cohort study. The sample included all prescriptions dispensed for naloxone in the retail pharmacy setting contained in IQVIA\u27s national prescription audit, which represents 90% of all retail pharmacies in the United States. The unit of observation was state-month and the study period was January 1, 2011, to December 31, 2017. Exposures: State legal intervention mandating naloxone coprescription. Main Outcomes and Measures: Number of naloxone prescriptions dispensed. State rates of naloxone prescriptions dispensed per month per 100 000 standard population were calculated. Results: The rate of naloxone dispensing increased after implementation of legal mandates for naloxone coprescription. An estimated 88 naloxone prescriptions per 100 000 were dispensed in Virginia and 111 prescriptions per 100 000 were dispensed in Vermont during the first full month the legal requirement was effective. In comparison, 16 naloxone prescriptions per 100 000 were dispensed in the 10 states (including the District of Columbia) with the highest opioid overdose death rates and 6 prescriptions per 100 000 were dispensed in the 39 remaining states. The number of naloxone prescriptions dispensed was associated with the legal mandate for naloxone coprescription (incidence rate ratio [IRR], 7.75; 95% CI, 1.22-49.35). Implementation of the naloxone coprescription mandate was associated with an estimated 214 additional naloxone prescriptions dispensed per month in the period following the mandates, holding all other variables constant. Among covariates, naloxone access laws (IRR, 1.37; 1.05-1.78), opioid overdose death rates (IRR, 1.06; 95% CI, 1.04-1.08), the percentage of naloxone prescriptions paid by third-party payers (IRR 1.009; 1.008-1.010), and time (IRR, 1.06; 95% CI, 1.05-1.07) were significantly associated with naloxone prescription dispensing. Conclusions and Relevance: These study findings suggest that legally mandated naloxone prescription for those at risk for opioid overdose may be associated with substantial increases in naloxone dispensing and further reduction in opioid-related harm

    Analysis of a First Professional Year Student Wellness Program

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    Objective: To identify wellness-related needs and assess the impact of wellness-related offerings among first professional year pharmacy students. Innovation: A survey tool was developed and offered to P1 students at the beginning and end of their fall and spring semesters. Additional biometric data was also collected to help identify wellness needs. Data from the first academic year (AY1) was used to develop targeted wellness interventions offered to P1 students during the subsequent academic year (AY2). Assessment strategies from AY1 were repeated with minor modifications in AY2 to identify changes in baseline needs and changes in markers across the academic year. Critical Analysis: AY1 survey response rates varied from 20.1% to 47.4% across the semester. Frequent dissatisfaction was reported with diet, weight, and exercise. AY2 survey response rates varied from 15.8% to 58.3% across the semester. The AY2 cohort demonstrated similar dissatisfaction data; however, also demonstrated lower baseline stress scores as compared to the AY1 cohort, higher baseline BMI, and higher systolic and diastolic blood pressure. Individual interventions offered to AY2 students were attended by as many as 16.5% of the academic cohort. Nutrition classes exhibited stronger attendance than fitness classes. Next Steps: The process used in this study was easily implemented and provided understanding of wellness gaps, which helped to identify interventions that were implemented and assessed. The process also demonstrated that wellness needs can vary from one population to another, reinforcing the value of periodic assessment to identify changing needs.   Type: Not

    Characteristics predicting the efficacy of SGLT-2 inhibitors versus GLP-1 receptor agonists on major adverse cardiovascular events in type 2 diabetes mellitus: a meta-analysis study

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    Background Recent large clinical trials have demonstrated cardiovascular benefits of similar overall magnitude for sodium–glucose cotransporter-2 inhibitor (SGLT-2i) and glucagon-like peptide-1 receptor agonist (GLP-1RA) therapy in subjects with type 2 diabetes. We sought to identify subgroups based on baseline characteristics with a differential response to either SGLT-2i or GLP-1RA. Methods PubMed, Cochrane CENTRAL, and EMBASE were searched from 2008 to 2022 for SGLT-2i or GLP-1RA randomized trials that reported 3-point major adverse cardiovascular events (3P-MACE). Baseline clinical and biochemical characteristics included age, sex, body mass index (BMI), HbA1c, estimated glomerular filtration rate (eGFR), albuminuria, preexisting cardiovascular disease (CVD), and heart failure (HF). Absolute and relative risk reductions (ARR and RRR) regarding incidence rates for 3P-MACE with a 95% confidence interval were calculated. The association of average baseline characteristics in each study with the ARR and RRR for 3P-MACE was investigated by meta-regression analyses (random-effects model, assuming inter-study heterogeneity). Meta-analysis was also conducted to investigate whether the efficacy of SGLT-2i or GLP-1RA on 3P-MACE reduction could differ according to the patients characteristics (e.g., HbA1c above/below cutoff). Results After a critical assessment of 1,172 articles, 13 cardiovascular outcome trials with a total of 111,565 participants were selected. In meta-regression analysis, the more patients with reduced eGFR in the studies, the greater ARR by SGLT-2i or GLP-1RA therapy. Similarly, in the meta-analysis, SGLT-2i therapy tended to be more effective in reducing 3P-MACE in people with eGFR < 60 ml/min/1.73 m2 than in those with normal renal function (ARR − 0.90 [–1.44 to − 0.37] vs. − 0.17 [–0.34 to − 0.01] events/100 person-years). Furthermore, people with albuminuria tended to respond better to SGLT-2i therapy than those with normoalbuminuria. However, this was not the case for the GLP-1RA treatment. Other factors including age, sex, BMI, HbA1c, and preexisting CVD or HF did not affect the efficacy of either SGLT-2i or GLP-1RA treatment on the ARR or RRR of 3P-MACE. Conclusions Because decreased eGFR [significant] and albuminuria [trend] were found to predict a better efficacy for SGLT-2i in 3P-MACE reduction, this class of drug should be preferred in such patients. However, GLP-1RA may be considered for patients with normal eGFR because it showed better efficacy than SGLT-2i in this subgroup [trend]
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