Small area variation and geographic and patient-specific determinants of metabolic testing in antipsychotic users

A scoping review of cardiovascular risk factor screening rates in general or family practice attendees living with severe mental ill-health

BACKGROUND

Primary care is essential to address the unmet physical health needs of people with severe mental ill-health. Continued poor cardiovascular health demands improved screening and preventive care. No previous reviews have examined primary care cardiovascular screening rates for people living with severe mental ill-health; termed in the literature "severe mental illness".

METHODS

A scoping review following Joanna Briggs Institute methodology was conducted. Cardiovascular risk factor screening rates in adults with severe mental ill-health were examined in general or family practices (as the main delivery sites of primary care). Literature published between 2001 and 2023 was searched using electronic databases including Medline, Embase, Web of Science, PsychINFO and CINAHL. Two reviewers independently screened titles and abstracts and conducted a full-text review. The term "severe mental illness" was applied as the term applied in the literature over the past decades. Study information, participant details and cardiovascular risk factor screening rates for people with 'severe mental illness' were extracted and synthesised.

RESULTS

Thirteen studies were included. Nine studies were from the United Kingdom and one each from Canada, Spain, New Zealand and the Netherlands. The general and/or family practice cardiovascular disease screening rates varied considerably across studies, ranging from 0 % to 75 % for people grouped within the term "severe mental illness". Lipids and blood pressure were the most screened risk factors.

CONCLUSIONS

Cardiovascular disease screening rates in primary care settings for adults living with severe mental ill-health varied considerably. Tailored and targeted cardiovascular risk screening will enable more comprehensive preventive care to improve heart health outcomes and address this urgent health inequity.

Antipsychotic medication adherence and preventive diabetes screening in Medicaid enrollees with serious mental illness: an analysis of real-world administrative data

BACKGROUND

There is excess amenable mortality risk and evidence of healthcare quality deficits for persons with serious mental illness (SMI). We sought to identify sociodemographic and clinical characteristics associated with variations in two 2015 Healthcare Effectiveness Data and Information Set (HEDIS) measures, antipsychotic medication adherence and preventive diabetes screening, among Medicaid enrollees with serious mental illness (SMI).

METHODS

We retrospectively analyzed claims data from September 2014 to December 2015 from enrollees in a Medicaid specialty health plan in Florida. All plan enrollees had SMI; analyses included continuously enrolled adults with antipsychotic medication prescriptions and schizophrenia or bipolar disorder. Associations were identified using mixed effects logistic regression models.

RESULTS

Data for 5502 enrollees were analyzed. Substance use disorders, depression, and having both schizophrenia and bipolar disorder diagnoses were associated with both HEDIS measures but the direction of the associations differed; each was significantly associated with antipsychotic medication non-adherence (a marker of suboptimal care quality) but an increased likelihood of diabetes screening (a marker of quality care). Compared to whites, blacks and Hispanics had a significantly greater risk of medication non-adherence. Increasing age was significantly associated with increasing medication adherence, but the association between age and diabetes screening varied by sex. Other characteristics significantly associated with quality variations according to one or both measures were education (associated with antipsychotic medication adherence), urbanization (relative to urban locales, residing in suburban areas was associated with both adherence and diabetes screening), obesity (associated with both adherence and diabetes screening), language (non-English speakers had a greater likelihood of diabetes screening), and anxiety, asthma, and hypertension (each positively associated with diabetes screening).

CONCLUSIONS

The characteristics associated with variations in the quality of care provided to Medicaid enrollees with SMI as gauged by two HEDIS measures often differed, and at times associations were directionally opposite. The variations in the quality of healthcare received by persons with SMI that were identified in this study can guide quality improvement and delivery system reform efforts; however, given the sociodemographic and clinical characteristics' differing associations with different measures of care quality, multidimensional approaches are warranted.

Utilization of the Behavior Change Wheel framework to develop a model to improve cardiometabolic screening for people with severe mental illness

BACKGROUND

Individuals with severe mental illness (e.g., schizophrenia, bipolar disorder) die 10-25 years earlier than the general population, primarily from premature cardiovascular disease (CVD). Contributing factors are complex, but include systemic-related factors of poorly integrated primary care and mental health services. Although evidence-based models exist for integrating mental health care into primary care settings, the evidence base for integrating medical care into specialty mental health settings is limited. Such models are referred to as "reverse" integration. In this paper, we describe the application of an implementation science framework in designing a model to improve CVD outcomes for individuals with severe mental illness (SMI) who receive services in a community mental health setting.

METHODS

Using principles from the theory of planned behavior, focus groups were conducted to understand stakeholder perspectives of barriers to CVD risk factor screening and treatment identify potential target behaviors. We then applied results to the overarching Behavior Change Wheel framework, a systematic and theory-driven approach that incorporates the COM-B model (capability, opportunity, motivation, and behavior), to build an intervention to improve CVD risk factor screening and treatment for people with SMI.

RESULTS

Following a stepped approach from the Behavior Change Wheel framework, a model to deliver primary preventive care for people that use community mental health settings as their de facto health home was developed. The CRANIUM (cardiometabolic risk assessment and treatment through a novel integration model for underserved populations with mental illness) model focuses on engaging community psychiatrists to expand their scope of practice to become responsible for CVD risk, with significant clinical decision support.

CONCLUSION

The CRANIUM model was designed by integrating behavioral change theory and implementation theory. CRANIUM is feasible to implement, is highly acceptable to, and targets provider behavior change, and is replicable and efficient for helping to integrate primary preventive care services in community mental health settings. CRANIUM can be scaled up to increase CVD preventive care delivery and ultimately improve health outcomes among people with SMI served within a public mental health care system.

Measurement of Metabolic Monitoring in Youth and Adult Medicaid Recipients Prescribed Antipsychotics

BACKGROUND

Individuals being treated with first- and second-generation antipsychotics (FGAs and SGAs) are at risk for a variety of adverse cardiometabolic effects. Although consensus guidelines that recommend metabolic monitoring for patients receiving SGAs have been in place since 2004, the rate of monitoring remains low, especially in the pediatric population.

OBJECTIVES

To (a) examine differences in rates of laboratory monitoring for glucose and lipids for adults and youth prescribed FGAs and SGAs; (b) look at factors associated with the likelihood of metabolic testing; and (c) describe cohort effects that may have had an impact on the rates of laboratory testing. 

METHODS

This is a retrospective study examining the rates of glucose and lipid testing for 3 separate cohorts of Medicaid recipients who were prescribed antipsychotics during 3 measurement periods-2008, 2010, and 2012-using paid Medicaid pharmacy and laboratory claims data. The sample included adults aged 18 years and older and children aged 17 years and younger. For each measurement period, we identified the rate of metabolic monitoring and the demographic characteristics for each individual, including race, age, and gender. The proportion of laboratory monitoring was assessed using chi square tests for each of the outcomes. Logistic regression models for each time point were used to determine the characteristics of individuals who were more likely to receive monitoring.

RESULTS

The proportion of individuals receiving glucose and lipid tests increased for both age groups across all measurement periods. For individuals aged 18 years and over, glucose monitoring increased from 56.6%-72.6%. Testing for lipids remained constant, ranging from 38.3%-41.2% for each of the 3 measurement periods. During the first measurement period, in 2008, females were 41% and 15% more likely to receive glucose and lipid laboratory monitoring, respectively, compared with males. Females continued to be more likely to receive glucose monitoring during the measurement periods in 2010 and 2012, although there was no significant difference between females and males for lipid monitoring during these time periods. Individuals aged 17 years and younger were 59%-68% less likely to receive glucose monitoring than adults (aged ≥ 18 years) for all time points. Across all measurement periods, individuals aged ≤ 17 years were also 44%-58% less likely to receive lipid monitoring compared with adults (aged ≥ 18 years). While there was no significant difference between Caucasians and non-Caucasians in the first measurement period, Caucasians were about 30% less likely to receive glucose monitoring and about 50% less likely to receive lipid monitoring during the measurement periods covering 2010 and 2012.  

CONCLUSIONS

Metabolic monitoring in adults improved substantially over the time periods studied; however, rates remained suboptimal, especially in the pediatric population. This finding suggests that interventions to increase metabolic monitoring in adults and children using FGAs and SGAs are necessary.

The Role of Clinical Setting and Management Approach in Metabolic Testing Among Youths and Adults Treated With Antipsychotics

OBJECTIVE

This study compared metabolic screening among patients who received antipsychotic treatment at community mental health centers (CMHCs), with or without case management, and patients treated elsewhere.

METHODS

Rates of glucose and lipid testing among youths and adults in Missouri Medicaid (N=9,473) who received antipsychotic treatment at CMHCs, with and without case management, were evaluated. Multivariable logistic regressions determined which characteristics were independently associated with metabolic testing.

RESULTS

A total of 37.0% and 17.3% of youths and 68.7% and 34.9% of adults had glucose and lipid testing, respectively. Compared with treatment elsewhere, treatment at CMHCs, with or without case management, respectively, was associated with higher odds of glucose testing (youths, adjusted odds ratio [AOR]=1.68 and 1.89; adults, AOR=1.43 and 1.44) and lipid testing (youths, AOR=2.40 and 2.35; adults, AOR=1.97 and 1.48).

CONCLUSIONS

CMHCs had higher rates of metabolic testing, possibly reflecting Missouri's efforts to promote testing in these settings.

Antipsychotic prescribing for behavioral disorders in US youth: physician specialty, insurance coverage, and complex regimens

PURPOSE

To assess antipsychotic prescribing patterns according to insurance coverage type and physician specialty in the outpatient treatment of behavioral disorders (BD) in US youth.

METHODS

We used 2003-2010 National Ambulatory Medical Care Survey and National Hospital Ambulatory Medical Care Survey data to compare antipsychotic prescribing in the outpatient treatment of BD in youth (6-19 years) according to insurance coverage (public vs. private) and physician specialty (psychiatrist vs. non-psychiatrist) using population-weighted Chi-square and multivariable analyses. Also, we examined co-prescribing of antipsychotics with other psychotropic medication classes. Subgroup analyses were conducted in BD visits with no other clinician-reported psychiatric diagnosis (non-comorbid BD visits).

RESULTS

A large majority (71.0%) of BD visits were provided by non-psychiatrists. However, psychiatrists prescribed antipsychotics far more frequently than non-psychiatrists (24.2% vs. 4.6%; adjusted odds ratio (AOR) = 5.1 [95% confidence interval (CI), 2.8-9.2]) in total BD visits as well as in non-comorbid BD visits (18.6% vs. 3.6%; AOR = 5.8 [95% CI, 3.2-10.5]). Antipsychotic prescribing was nearly two-fold greater in visits by publicly insured 6-12 year olds (11.3% vs. 5.8%; AOR = 1.9 [95% CI, 1.1-3.5]) and 13-19 year olds (16.2% vs. 8.9%; AOR = 2.0 [95% CI, 1.1-3.6]) compared with their privately insured counterparts. In more than one-third of antipsychotic-prescribed BD visits, antipsychotics were prescribed concomitantly with ≥2 psychotropic medication classes regardless of age group, insurance coverage, or even in the absence of psychiatric comorbidities.

CONCLUSION

In outpatient visits by youth for BD, antipsychotics were primarily prescribed by psychiatrists, concomitantly, and for the publicly insured. These treatment patterns merit further investigation.

Antipsychotic Cardiometabolic Side Effect Monitoring in a State Community Mental Health System

Antipsychotic medications can cause serious cardiometabolic side effects. No recent research has broadly evaluated monitoring and strategies to improve monitoring in U.S. public mental health systems. To address this knowledge gap, we evaluated education with audit and feedback to leaders to improve cardiometabolic monitoring in a state mental health system. We used Chi square statistics and logistic regressions to explore changes in monitoring recorded in randomly sampled records over 2 years. In 2009, assessment of patients on antipsychotics was 29.6 % for cholesterol, 40.4 % for glucose, 29.1 % for triglycerides, 54.3 % for weight, 33.6 % for blood pressure, and 5.7 % for abdominal girth. In 2010, four of ten mental health centers improved their rate of adult laboratory monitoring. Overall monitoring in the state did not increase. Education for prescribers with audit and feedback to leaders can improve monitoring in some settings, but more intensive and/or prolonged interventions may be required.

Screening for cardiovascular risk factors in adults with serious mental illness: a review of the evidence

BACKGROUND

Adults with serious mental illness have a mortality rate two to three times higher than the overall US population, much of which is due to somatic conditions, especially cardiovascular disease. Given the disproportionately high prevalence of cardiovascular risk factors in the population with SMI, screening for these conditions is an important first step for timely diagnosis and appropriate treatment. This comprehensive literature review summarizes screening rates for cardiovascular risk factors in the population with serious mental illness.

METHODS

Relevant articles published between 2000 and 2013 were identified using the EMBASE, PsychInfo, PubMed, SCOPUS and Web of Science databases. We reviewed 10 studies measuring screening rates for obesity, diabetes, dyslipidemia, and hypertension in the population with serious mental illness. Two reviewers independently extracted information on screening rates, study population, and study setting.

RESULTS

Rates of screening varied considerably by time period, study population, and data source for all medical conditions. For example, rates of lipid testing for antipsychotic users ranged from 6% to 85%. For some conditions, rates of screening were consistently high. For example, screening rates for hypertension ranged from 79% - 88%.

CONCLUSIONS

There is considerable variation in screening of cardiovascular risk factors in the population with serious mental illness, with significant need for improvement in some study populations and settings. Implementation of standard screening protocols triggered by diagnosis of serious mental illness or antipsychotic use may be promising avenues for ensuring timely diagnosis and treatment of cardiovascular risk factors in this population.

Psychotropic drug use among preschool children in the Medicaid program from 36 states

OBJECTIVES

We determined the prevalence of and indications for psychotropic medication among preschool children in Medicaid.

METHODS

We obtained 2000 to 2003 Medicaid Analytic Extract data from 36 states. We followed children in 2 cohorts, born in 1999 and 2000, up to age 4 years. We used logistic regression to model odds of receiving medications for (1) attention-deficit disorder/attention-deficit hyperactivity disorder, (2) depression or anxiety, and (3) psychotic illness or bipolar.

RESULTS

Overall, 1.19% of children received at least 1 psychotropic drug. Medications for attention-deficit disorder/attention-deficit hyperactivity disorder treatment were most common (0.61% of all children), followed by depression or anxiety (0.59%) and psychotic illness or bipolar (0.24%). Among children, boys, those of other or unknown race compared with White, and those with other insurance compared with fee for service-only had higher odds of receiving a prescription (odds ratio [OR]=1.80 [95% confidence interval (CI)=1.74, 1.86], 1.75 [corrected] [1.66, 1.85], and 1.14 [1.01, 1.28], respectively), whereas Black and Hispanic children had lower odds (OR=0.51 [95% CI=0.48, 0.53] and 0.37 [0.34, 0.39], respectively).

CONCLUSIONS

Preschoolers are receiving psychotropic medications despite limited evidence supporting safety or efficacy. Future research should focus on implementing medication use practice parameters in infant and toddler clinics, and expanding psychosocial interventions for young children with behavioral problems.

Adherence to guidelines for glucose assessment in starting second-generation antipsychotics

OBJECTIVES

In 2003, the US Food and Drug Administration issued warnings about hyperglycemia and diabetes with second-generation antipsychotics (SGAs); guidelines have recommended metabolic screening since 2004. However, little is known of contemporary practices of glucose screening among youth initiating SGAs. Our objective was to evaluate baseline glucose assessment among youth in the Mini-Sentinel Distributed Database starting an SGA.

METHODS

The cohort included youth ages 2 through 18 newly initiating SGAs January 1, 2006, through December 31, 2011, across 10 sites. Baseline glucose was defined as fasting/random glucose or hemoglobin A1c (GLU) measurement occurring relative to first SGA dispensing. Differences in GLU assessment were evaluated with χ(2) tests and logistic regression.

RESULTS

The cohort included 16,304 youth; 60% boys; mean age 12.8 years. Risperidone was most commonly started (43%). Eleven percent (n = 1858) had GLU assessed between 90 days before and 3 days after first dispensing. Assessment varied across SGAs (olanzapine highest), sites (integrated health care systems higher), ages (16-18 highest), years (2007 highest), and gender (female higher; all P < .001). GLU assessment among those starting olanzapine was more likely than among those starting quetiapine (odds ratio [OR]: 1.72 [95% confidence interval (CI): 1.37-2.18]), aripiprazole (OR: 1.49 [95% CI: 1.18-1.87]), or risperidone (OR: 1.61 [95% CI: 1.28-2.03]).

CONCLUSIONS

Few children and adolescents starting SGA have baseline glucose assessed. This is concerning because those at high diabetes risk may not be identified. Further, lack of screening impedes determining the contribution of SGAs to hyperglycemia development.

Adjusting for geographic variation in observational comparative effectiveness studies: a case study of antipsychotics using state Medicaid data

Background

Area-level variation in treatment and outcomes may be a potential source of confounding bias in observational comparative effectiveness studies. This paper demonstrates how to use exploratory spatial data analysis (ESDA) and spatial statistical methods to investigate and control for these potential biases. The case presented compares the effectiveness of two antipsychotic treatment strategies: oral second-generation antipsychotics (SGAs) vs. long-acting paliperiodone palmitate (PP).

Methods

A new-start cohort study was conducted analyzing patient-level administrative claims data (8/1/2008–4/30/2011) from Missouri Medicaid. ESDA techniques were used to examine spatial patterns of antipsychotic prescriptions and outcomes (hospitalization and emergency department (ED) visits). Likelihood of mental health-related outcomes were compared between patients starting PP (N = 295) and oral SGAs (N = 8,626) using multilevel logistic regression models adjusting for patient composition (demographic and clinical factors) and geographic region.

Results

ESDA indicated significant spatial variation in antipsychotic prescription patterns and moderate variation in hospitalization and ED visits thereby indicating possible confounding by geography. In the multilevel models for this antipsychotic case example, patient composition represented a stronger source of confounding than geographic context.

Conclusion

Because geographic variation in health care delivery is ubiquitous, it could be a comparative effectiveness research (CER) best practice to test for possible geographic confounding in observational data. Though the magnitude of the area-level geography effects were small in this case, they were still statistically significant and should therefore be examined as part of this observational CER study. More research is needed to better estimate the range of confounding due to geography across different types of observational comparative effectiveness studies and healthcare utilization outcomes.

Electronic supplementary material

The online version of this article (doi:10.1186/1472-6963-14-355) contains supplementary material, which is available to authorized users.

Predictors of metabolic parameter monitoring in adolescents on antipsychotics in a primary care setting

Objective To assess the frequency and predictors of regular monitoring of metabolic parameters as recommended by the American Diabetes Association (ADA)/American Psychiatric Association (APA) guidelines in adolescents receiving antipsychotics compared with an untreated comparison group in a primary care setting. Method A retrospective cohort study was conducted using an electronic medical record database in the USA from January 2004 to July 2009. The exposure group consisted of adolescents with a first prescription for second-generation antipsychotics (SGAs). The comparison group, without antipsychotics, was matched (3:1) to the exposed. Baseline and follow-up metabolic measurements were assessed and patients were categorised as being regularly monitored based on recommendations by the ADA/APA guidelines. Multivariate logistic regression was conducted to assess the predictors of regular monitoring, adjusting for demographic characteristics, baseline medications and medical conditions. Results The frequency of regular monitoring of body mass index (BMI), blood pressure, total cholesterol and fasting blood glucose, as recommended by ADA/APA guidelines among antipsychotic users (25, 55, 2.4 and 1.7%) was low but significantly higher compared with the matched comparison group (9.5, 37.4, 0.8 and 0.7%, respectively) (P < 0.05). Overall, antipsychotic treatment was associated with 1.5- to 4.26-fold increase in the likelihood of metabolic monitoring compared with the comparison group (P < 0.05). Other predictors included oral antidiabetic use for BMI monitoring and dyslipidaemia for blood pressure, total cholesterol and fasting blood glucose. Conclusion The majority of adolescents on antipsychotics were under-monitored for BMI, lipids and glucose levels. Antipsychotic users with pre-existing and newly diagnosed metabolic conditions were more likely to be regularly monitored for metabolic parameters.

Changes in antipsychotic use among patients with severe mental illness after a Food and Drug Administration advisory

PURPOSE

A 2003 Food and Drug Administration advisory warned of increased hyperlipidemia and diabetes risk for patients taking second-generation antipsychotics (SGAs). After the advisory, a professional society consensus statement provided treatment recommendations and stratified SGAs into high, intermediate, and low metabolic risk. We examine subsequent changes in incident and prevalent SGA use among individuals with severe mental illness.

METHODS

We created a retrospective cohort using Florida Medicaid's claims from 2001 to 2006. We included non-Medicare eligible adults with bipolar disorder or schizophrenia who filled an SGA prescription. We assessed changes in overall and agent-specific use, discontinuations, interruptions, and therapeutic alternative use among prevalent users and agent-specific use among incident users. Pre-advisory utilization was compared with utilization initially after the advisory and two subsequent periods.

RESULTS

Among prevalent users, overall SGA use decreased slightly, and no increases in treatment interruptions or discontinuations were observed after the advisory and consensus statement publication. Compared with the pre-advisory period, in the months immediately after the advisory, the use of the highest metabolic-risk agent, olanzapine, decreased by 34% among prevalent users with bipolar disorder (adjusted risk ratio [aRR] = 0.66, 95%CI = 0.59-0.74) and 26% among prevalent users with schizophrenia (aRR = 0.74, 95%CI = 0.72-0.76). A greater decrease was estimated among incident users with bipolar disorder (aRR = 0.37, 95%CI = 0.29-0.47) and schizophrenia (aRR = 0.42, 95%CI = 0.35-0.51) during this period. During each subsequent post-advisory period, olanzapine use continued to decrease whereas quetiapine, ziprasidone, and aripiprazole use increased.

CONCLUSIONS

The metabolic risk advisory and the published consensus statement were associated with a selective reduction in olanzapine use without evidence of treatment disruptions among this population.

Recent advances in understanding and mitigating adipogenic and metabolic effects of antipsychotic drugs

Although offering many benefits for several psychiatric disorders, antipsychotic drugs (APDs) as a class have a major liability in their tendency to promote adiposity, obesity, and metabolic dysregulation in an already metabolically vulnerable population. The past decade has witnessed substantial research aimed at investigating the mechanisms of these adverse effects and mitigating them. On July 11 and 12, 2011, with support from 2 NIH institutes, leading experts convened to discuss current research findings and to consider future research strategies. Five areas where significant advances are being made emerged from the conference: (1) methodological issues in the study of APD effects; (2) unique characteristics and needs of pediatric patients; (3) genetic components underlying susceptibility to APD-induced metabolic effects; (4) APD effects on weight gain and adiposity in relation to their acute effects on glucose regulation and diabetes risk; and (5) the utility of behavioral, dietary, and pharmacological interventions in mitigating APD-induced metabolic side effects. This paper summarizes the major conclusions and important supporting data from the meeting.