Validation of a claims-based antipsychotic polypharmacy measure

Unraveling ethnic disparities in antipsychotic prescribing among patients with psychosis: A retrospective cohort study based on electronic clinical records

BACKGROUND

Previous studies have shown mixed evidence on ethnic disparities in antipsychotic prescribing among patients with psychosis in the UK, partly due to small sample sizes. This study aimed to examine the current state of antipsychotic prescription with respect to patient ethnicity among the entire population known to a large UK mental health trust with non-affective psychosis, adjusting for multiple potential risk factors.

METHODS

This retrospective cohort study included all patients (N = 19,291) who were aged 18 years or over at their first diagnoses of non-affective psychosis (identified with the ICD-10 codes of F20-F29) recorded in electronic health records (EHRs) at the South London and Maudsley NHS Trust until March 2021. The most recently recorded antipsychotic treatments and patient attributes were extracted from EHRs, including both structured fields and free-text fields processed using natural language processing applications. Multivariable logistic regression models were used to calculate the odds ratios (OR) for antipsychotic prescription according to patient ethnicity, adjusted for multiple potential contributing factors, including demographic (age and gender), clinical (diagnoses, duration of illness, service use and history of cannabis use), socioeconomic factors (level of deprivation and own-group ethnic density in the area of residence) and temporal changes in clinical guidelines (date of prescription).

RESULTS

The cohort consisted of 43.10 % White, 8.31 % Asian, 40.80 % Black, 2.64 % Mixed, and 5.14 % of patients from Other ethnicity. Among them, 92.62 % had recorded antipsychotic receipt, where 24.05 % for depot antipsychotics and 81.72 % for second-generation antipsychotic (SGA) medications. Most ethnic minority groups were not significantly different from White patients in receiving any antipsychotic. Among those receiving antipsychotic prescribing, Black patients were more likely to be prescribed depot (adjusted OR 1.29, 95 % confidence interval (CI) 1.14-1.47), but less likely to receive SGA (adjusted OR 0.85, 95 % CI 0.74-0.97), olanzapine (OR 0.82, 95 % CI 0.73-0.92) and clozapine (adjusted OR 0.71, 95 % CI 0.6-0.85) than White patients. All the ethnic minority groups were less likely to be prescribed olanzapine than the White group.

CONCLUSIONS

Black patients with psychosis had a distinct pattern in antipsychotic prescription, with less use of SGA, including olanzapine and clozapine, but more use of depot antipsychotics, even when adjusting for the effects of multiple demographic, clinical and socioeconomic factors. Further research is required to understand the sources of these ethnic disparities and eliminate care inequalities.

Statistical Approaches for Quantifying the Quality of Neurosurgical Care

BACKGROUND

Quantifying quality of health care can provide valuable information to patients, providers, and policy makers. However, the observational nature of measuring quality complicates assessments.

METHODS

We describe a conceptual model for defining quality and its implications about the data collected, how to make inferences about quality, and the assumptions required to provide statistically valid estimates. Twenty-one binary or polytomous quality measures collected from 101,051 adult Medicaid beneficiaries aged 18-64 years with schizophrenia from 5 U.S. states show methodology. A categorical principal components analysis establishes dimensionality of quality, and item response theory models characterize the relationship between each quality measure and a unidimensional quality construct. Latent regression models estimate racial/ethnic and geographic quality disparities.

RESULTS

More than 90% of beneficiaries filled at least 1 antipsychotic prescription and 19% were hospitalized for schizophrenia during a 12-month observational period in our multistate cohort with approximately 2/3 nonwhite beneficiaries. Four quality constructs emerged: inpatient, emergency room, pharmacologic/ambulatory, and ambulatory only. Using a 2-parameter logistic model, pharmacologic/ambulatory care quality varied from -2.35 to 1.26 (higher = better quality). Black and Latinx beneficiaries had lower pharmacologic/ambulatory quality compared with whites. Race/ethnicity modified the association of state and pharmacologic/ambulatory care quality in latent regression modeling. Average quality ranged from -0.28 (95% confidence interval, -2.15 to 1.04) for blacks in New Jersey to 0.46 [95% confidence interval, -0.89 to 1.40] for whites in Michigan.

CONCLUSIONS

By combining multiple quality measures using item response theory models, a composite measure can be estimated that has more statistical power to detect differences among subjects than the observed mean per subject.

Significance and Factors Associated with Antipsychotic Polypharmacy Utilization Among Publicly Insured US Adults

Antipsychotic polypharmacy (APP) lacks evidence of effectiveness in the care of schizophrenia or other disorders for which antipsychotic drugs are indicated, also exposing patients to more risks. Authors assessed APP prevalence and APP association with beneficiary race/ethnicity and payer among publicly-insured adults regardless of diagnosis. Retrospective repeated panel study of fee-for-service (FFS) Medicare, Medicaid, and dually-eligible white, black, and Latino adults residing in California, Georgia, Iowa, Mississippi, Oklahoma, South Dakota, or West Virginia, filling antipsychotic prescriptions between July 2008 and June 2013. Primary outcome was any monthly APP utilization. Across states and payers, 11% to 21% of 397,533 antipsychotic users and 12% to 19% of 9,396,741 person-months had some APP utilization. Less than 50% of person-months had a schizophrenia diagnosis and up to 19% had no diagnosed mental illness. Payer modified race/ethnicity effects on APP utilization only in CA; however, the odds of APP utilization remained lower for minorities than for whites. Elsewhere, the odds varied by race/ethnicity only in OK, with Latinos having lower odds than whites (odds ratio 0.76; 95% confidence interval 0.60-0.96). The odds of APP utilization varied by payer in several study states, with odds generally higher for Dual eligibles, although the differences were generally small; the odds also varied by year (lower at study end). APP was frequently utilized but mostly declined over time. APP utilization patterns varied across states, with no consistent association with race/ethnicity and small payer effects. Greater use of APP-reducing strategies are needed, particularly among non-schizophrenia populations.

Real-World Direct Health Care Costs Associated with Psychotropic Polypharmacy Among Adults with Common Cancer Types in the United States

BACKGROUND

Psychotropic polypharmacy is not uncommon among cancer patients and may contribute to the increased direct health care cost burden in this population.

OBJECTIVE

To estimate average direct health care costs in the year following cancer diagnosis among cancer patients receiving psychotropic polypharmacy compared with those without psychotropic polypharmacy, using a multivariable analysis framework.

METHODS

A retrospective cross-sectional study was conducted among patients aged 18 years and older diagnosed with the most commonly occurring cancers (breast, prostate, lung, and colorectal) in the United States during 2011-2012 using the deidentified Optum Clinformatics Data Mart commercial claims database. Psychotropic polypharmacy was defined as concurrent use of 2 or more psychotropic medications for at least 90 days. Direct health care costs in the year following cancer diagnosis were estimated as total medical payments made by the health plans and were derived from claims files. A generalized linear regression model with log-link function and gamma distribution was used to model average direct health care costs, controlling for baseline patient demographic and clinical covariates.

RESULTS

Average annual direct health care costs for cancer patients with psychotropic polypharmacy ($53,497; SD $72,590) were higher than those without psychotropic polypharmacy ($38,255; SD $59,844), with an unadjusted average cost difference of $15,242 (P < 0.0001). In the adjusted regression model, the average difference in costs shrunk to $5,888 but remained notable. When examined by type of cancer, average direct health care costs for all cancer patients with psychotropic polypharmacy were significantly higher than those for patients without psychotropic polypharmacy, except for colorectal cancer patients.

CONCLUSIONS

Overall health care costs were higher among cancer patients with psychotropic polypharmacy compared with those without psychotropic polypharmacy. Our findings support the need for future research to better understand the benefits and risks of psychotropic polypharmacy, given its potential to cause adverse health outcomes and avoidable health care utilization and costs for this vulnerable patient population.

DISCLOSURES

This study was funded by the American Association of Colleges of Pharmacy (AACP) New Investigator Award mechanism, which was received by Vyas. Aroke was partially supported by the AACP grant for conducting data analysis of the study. Kogut is partially supported by Institutional Development Award Number U54GM115677 from the National Institute of General Medical Sciences of the National Institutes of Health, which funds Advance Clinical and Translational Research (Advance-CTR). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health and the AACP. The authors report no conflicts of interest. An abstract of this study was presented as a poster at the American Association of Colleges of Pharmacy Annual Meeting on July 22, 2018, in Boston, MA.

Choosing wisely? Quantifying the extent of three low value psychotropic prescribing practices in Australia

BACKGROUND

The global Choosing Wisely campaign has identified the following psychotropic prescribing as low-value (harmful or wasteful): (1) benzodiazepine use in the elderly, (2) antipsychotic use in dementia and (3) prescribing two or more antipsychotics concurrently. We aimed to quantify the extent of these prescribing practices in the Australian population.

METHODS

We applied indicators to dispensing claims of a 10% random sample of Australian Pharmaceutical Benefits Scheme beneficiaries to quantify annual rates of each low-value practice from 2013 to 2016. We also assessed patient factors and direct medicine costs (extrapolated to the entire Australian population) associated with each practice in 2016.

RESULTS

We observed little change in the rates of the three practices between 2013 and 2016. In 2016, 15.3% of people aged ≥65 years were prescribed a benzodiazepine, 0.5% were prescribed antipsychotics in the context of dementia and 0.2% of people aged ≥18 years received two or more antipsychotics concurrently. The likelihood of elderly people receiving benzodiazepines or antipsychotics in the context of dementia increased with age and the likelihood of receiving all three practices increased with comorbidity burden. In 2016, direct medicine costs to the government of all three practices combined, extrapolated to national figures, were > $21 million AUD.

CONCLUSIONS

Our indicators suggest that the frequency of these three practices has not changed appreciably in recent years and that they incur significant costs. Worryingly, people with the greatest risk of harm from these prescribing practices are often the most likely to receive them.

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

BACKGROUND

Concerns about antipsychotic prescribing for children, particularly those enrolled in Medicaid and with Supplemental Security Income (SSI), continue despite recent calls for selective use within established guidelines.

OBJECTIVES

To (a) examine the application of 6 quality measures for antipsychotic medication prescribing in children and adolescents receiving Medicaid and (b) understand distinctive patterns across eligibility categories in order to inform ongoing quality management efforts to support judicious antipsychotic use.

METHODS

Using data for 10 states from the 2008 Medicaid Analytic Extract (MAX), a cross-sectional assessment of 144,200 Medicaid beneficiaries aged < 21 years who received antipsychotics was conducted to calculate the prevalence of 6 quality measures for antipsychotic medication management, which were developed in 2012-2014 by the National Collaborative for Innovation in Quality Measurement. These measures addressed antipsychotic polypharmacy, higher-than-recommended doses of antipsychotics, use of psychosocial services before antipsychotic initiation, follow-up after initiation, baseline metabolic screening, and ongoing metabolic monitoring.

RESULTS

Compared with children eligble for income-based Medicaid, children receiving SSI and in foster care were twice as likely to receive higher-than-recommended doses of antipsychotics (adjusted odds ratio [AOR] = 2.4, 95% CI = 2.3-2.6; AOR = 2.5, 95% CI = 2.4-2.6, respectively) and multiple concurrent antipsychotic medications (AOR = 2.2, 95% CI = 2.0-2.4; AOR = 2.2, 95% CI = 2.0-2.4, respectively). However, children receiving SSI and in foster care were more likely to have appropriate management, including psychosocial visits before initiating antipsychotic treatment and ongoing metabolic monitoring. While children in foster care were more likely to experience baseline metabolic screening, SSI children were no more likely than children eligible for income-based aid to receive baseline screening.

CONCLUSIONS

While indicators of overuse were more common in SSI and foster care groups, access to follow-up, metabolic monitoring, and psychosocial services was somewhat better for these children. However, substantial quality shortfalls existed for all groups, particularly metabolic screening and monitoring. Renewed efforts are needed to improve antipsychotic medication management for all children.

DISCLOSURES

This project was supported by grant number U18HS020503 from the Agency for Healthcare Research and Quality (AHRQ) and Centers for Medicare & Medicaid Services (CMS). Additional support for Rutgers-based participants was provided from AHRQ grants R18 HS019937 and U19HS021112, as well as the New York State Office of Mental Health. The content of this study is solely the responsibility of the authors and does not necessarily represent the official views of AHRQ, CMS, or the New York State Office of Mental Health. Finnerty has been the principle investigator on research grants/contracts from Bristol Myers Squibb and Sunovion, but her time on these projects is fully supported by the New York State Office of Mental Health. Scholle, Byron, and Morden work for the National Committee for Quality Assurance, a not-for-profit organization that develops and maintains quality measures. Neese-Todd was at Rutgers University at the time of this study and is now employed by the National Committee for Quality Assurance. The other authors have no financial relationships relevant to this article to disclose. Study concept and design were contributed by Finnerty, Neese-Todd, and Crystal, assisted by Scholle, Leckman-Westin, Horowitz, and Hoagwood. Scholle, Byron, Morden, and Hoagwood collected the data, and data interpretation was performed by Pritam, Bilder, Leckman-Westin, and Finnerty, with assistance from Scholle, Byron, Crystal, Kealey, and Neese-Todd. The manuscript was written by Leckman-Westin, Kealey, and Horowitz and revised by Layman, Crystal, Leckman-Westin, Finnerty, Scholle, Neese-Todd, and Horowitz, along with the other authors.

The impact of permissive and restrictive pharmaceutical policies on quetiapine dispensing: Evaluating a policy pendulum using interrupted time series analysis

PURPOSE

To evaluate the impact of 2 policy changes on quetiapine dispensing in Australia: removal of prior authorisation for prescribing (policy 1: July 2007) and removal of repeat prescriptions for 25-mg quetiapine (policy 2: January 2014).

METHODS

We performed an interrupted time series analysis using Pharmaceutical Benefits Scheme claims data (July 2005 to December 2015). We assessed the impact of both policies on monthly quetiapine dispensing (25 mg and >25 mg) and the impact of policy change 2 on monthly rates of 25-mg discontinuation and switching from 25 mg to other quetiapine strengths. We also estimated the impact of both policies on the proportion of people with potentially inappropriate therapy (no evidence of dose escalation) following 25-mg initiation.

RESULTS

Following removal of prior authorisation, 25-mg and >25-mg quetiapine dispensing in the Pharmaceutical Benefits Scheme 10% sample increased by 11/month (95% CI: 2-21) and 14/month (95% CI: 8-20), respectively. After removing 25-mg repeats, there was a permanent decrease of 1072 (95% CI 773-1371) dispensings and an increase in discontinuation of this strength; 48% of people dispensed the 25-mg strength that discontinued, discontinued quetiapine completely; the remainder continued to use higher quetiapine strengths. We observed minimal switching to other quetiapine strengths. There was no change in inappropriate 25-mg therapy following policy change 1 and a small decrease (79% to 76%, P = 0.05) following policy change 2.

CONCLUSION

More nuanced policies are needed to ensure the appropriate access to 25-mg quetiapine for dose escalation while discouraging use for indications where the evidence of risk and benefit is unclear.

"Impact of drug-reimbursement policies on prescribing: A case-study of a newly marketed long-acting injectable antipsychotic among relapsed schizophrenia patients"

OBJECTIVE

To quantify and explain variation in use of long-acting injectable antipsychotics (LAIs) in the United States, and understand the relationship between patient characteristics, drug reimbursement policies, and LAI prescribing after relapse.

METHODS

A cohort of recently relapsed patients with schizophrenia ages 18 to 64, were identified immediately after discharge from a related inpatient hospitalization, partial hospitalization, or emergency room visit, drawn from 2004 to 2006 Medicaid claims, and followed for 90 days until LAI initiation. Data on state-level Medicaid prior authorization (PA) policies for LAIs were collected. Sequential longitudinal Poisson regression models were developed to understand the relationship between patient and PA policy variables and LAI prescribing, including prior adherence to oral antipsychotics, demographics, clinical variables, and presence of PA policy for LAI.

RESULTS

Among 36 282 patients, 3.1% received risperidone LAI, and 3.8% received a first-generation (FGA) LAI with wide variation across states. Prior adherence ranged from 29% to 89% but was marginally associated with initiation and did not explain variation for LAI prescribing. FGA initiation was associated with geography and race/ethnicity but not PA policy. For risperidone LAI initiation, demographics and clinical factors explained, respectively, 5.0% and 3.0% of the variation; PA policy had a large negative association with initiation (RR = 0.41; 95%CI 0.20-0.87) and explained 8.4% of the variation.

CONCLUSIONS

PA policies may represent a major treatment barrier for risperidone LAI among relapsed patients. Non-adherence plays a little role in predicting which patients receive LAIs. Policy makers and health insurers will need to consider these findings when guiding the use of LAIs. KEY POINTS Among a nationwide cohort of relapsed schizophrenia patients enrolled in US Medicaid, 3.1% received Risperdal Consta, a long-acting injectable antipsychotic (LAI), and 3.8% initiated a first-generation first-generation LAI within 90 days after discharge. During 2004 to 2006, there was marked variation in 90 day post-relapse initiation of Risperdal-Consta-a newly marketed medication during this period-and also marked variation in 90 day post-relapse initiation of any first-generation LAI, which appeared to be associated with race/ethnicity and geography. Prior authorization policies were associated with substantially lower initiation of Risperdal Consta in this cohort of relapsed patients even after accounting for clinical indication (non-adherence), relapse history, demographics, adjunctive medication, and mental health service use.

Psychotropic polypharmacy in Australia, 2006 to 2015: a descriptive cohort study

AIMS

To describe psychotropic polypharmacy in Australia between 2006 and 2015.

METHODS

We used pharmaceutical claims from a national 10% sample of people with complete dispensing histories to estimate the annual prevalence of the combined use (overlap of >60 days exposure) of ≥2 psychotropics overall and within the same class or subclass (class and subclass polypharmacy). We also estimated the proportion of polypharmacy episodes involving one, two, three and four or more unique prescribers.

RESULTS

The prevalence of class polypharmacy between 2006 and 2015 in people dispensed specific psychotropic classes was 5.9-7.3% for antipsychotics, 2.1-3.7% for antidepressants and 4.3-2.9% for benzodiazepines. The prevalence of antipsychotic polypharmacy was higher than expected given the prevalence of antipsychotic exposure and combinations of sedating agents were notably common. Overall, 26.7% of polypharmacy episodes involved multiple prescribers but having multiple prescribers occurred more frequently for class and subclass polypharmacy and people with four or more concomitant psychotropics.

DISCUSSION

Psychotropic polypharmacy is common, despite limited evidence of risks and benefits. Increases in polypharmacy with multiple prescribers may be due to poor communication with patients and between health care professionals.

The Efficacy of Psychostimulants in Major Depressive Episodes: A Systematic Review and Meta-Analysis

BACKGROUND

Psychostimulants are frequently prescribed off-label for adults with major depressive disorder or bipolar disorder. The frequent and increasing usage of stimulants in mood disorders warrants a careful appraisal of the efficacy of this class of agents. Herein, we aim to estimate the efficacy of psychostimulants in adults with unipolar or bipolar depression.

METHODS

The PubMed/Medline database was searched from inception to January 16, 2016 for randomized, placebo-controlled clinical trials investigating the antidepressant efficacy of psychostimulants in the treatment of adults with unipolar or bipolar depression.

RESULTS

Psychostimulants were associated with statistically significant improvement in depressive symptoms in major depressive disorder (odds ratio [OR], 1.41; 95% confidence interval [CI], 1.13-1.78; P = 0.003) and bipolar disorder (OR, 1.42; 95% CI, 1.13-1.78; P = 0.003). Efficacy outcomes differed across the psychostimulants evaluated as a function of response rates: ar/modafinil (OR, 1.47; 95% CI, 1.20-1.81; P = 0.0002); dextroamphetamine (OR, 7.11; 95% CI, 1.09-46.44; P = 0.04); lisdexamfetamine dimesylate (OR, 1.21; 95% CI, 0.94-1.56; P = ns); methylphenidate (OR, 1.49; 95% CI, 0.88-2.54; P = ns). Efficacy outcomes also differed between agents used as adjunctive therapy (OR, 1.39; 95% CI, 1.19-1.64) or monotherapy (OR, 2.25; 95% CI, 0.67-7.52).

CONCLUSIONS

Psychostimulants are insufficiently studied as adjunctive or monotherapy in adults with mood disorders. Most published studies have significant methodological limitations (eg, heterogeneous samples, dependent measures, type/dose of agent). In addition to improvements in methodological factors, a testable hypothesis is that psychostimulants may be more appropriately tested in select domains of psychopathology (eg, cognitive emotional processing), rather than as "broad-spectrum" antidepressants.

Psychopharmacological drug utilization patterns in pregnant women with bipolar disorder - A nationwide register-based study

BACKGROUND

Bipolar disorder is often associated with a lifetime indication for treatment with psychotropic drugs, thus pregnant women face the dilemma whether to continue treatment or not. This study describes the psychopharmacological drug utilization patterns among women with bipolar disorder from 12 months preconception to 12 months postpartum.

METHODS

We conducted a register-based cohort study among all Danish women aged 15-55 with a diagnosis of bipolar disorder, who gave birth to their first and singleton child between January 1997 and December 2012. Psychotropic drug use was determined by prescriptions obtained from the Danish National Prescription Registry.

RESULTS

We identified 336 women. The proportion of women redeeming prescriptions for any psychotropic drug decreased during pregnancy, from 54.8% in the 3 months preconception to 36.6% in the third trimester (p<0.001). Lithium dosing increased significantly during pregnancy. A total of 35 (41.2%) of the women on psychotropic monotherapy and 37 (50.0%) of the women on psychotropic polypharmacy used an antidepressant without concomitant use of a mood-stabilizer at some time during pregnancy.

LIMITATIONS

Only redemption of prescriptions was assessable, thus we were not able to assess compliance and discontinuation of treatment before the end of the treatment duration. There was no information on drug use during hospitalizations.

CONCLUSIONS

We found a decrease in the proportion of women redeeming prescriptions during pregnancy. There was a high prevalence of antidepressant use without a mood-stabilizer, potentially putting women at risk for a switch to mania - although this is still debated. This calls for further investigation.

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.

Extracting antipsychotic polypharmacy data from electronic health records: developing and evaluating a novel process

BACKGROUND

Antipsychotic prescription information is commonly derived from structured fields in clinical health records. However, utilising diverse and comprehensive sources of information is especially important when investigating less frequent patterns of medication prescribing such as antipsychotic polypharmacy (APP). This study describes and evaluates a novel method of extracting APP data from both structured and free-text fields in electronic health records (EHRs), and its use for research purposes.

METHODS

Using anonymised EHRs, we identified a cohort of patients with serious mental illness (SMI) who were treated in South London and Maudsley NHS Foundation Trust mental health care services between 1 January and 30 June 2012. Information about antipsychotic co-prescribing was extracted using a combination of natural language processing and a bespoke algorithm. The validity of the data derived through this process was assessed against a manually coded gold standard to establish precision and recall. Lastly, we estimated the prevalence and patterns of antipsychotic polypharmacy.

RESULTS

Individual instances of antipsychotic prescribing were detected with high precision (0.94 to 0.97) and moderate recall (0.57-0.77). We detected baseline APP (two or more antipsychotics prescribed in any 6-week window) with 0.92 precision and 0.74 recall and long-term APP (antipsychotic co-prescribing for 6 months) with 0.94 precision and 0.60 recall. Of the 7,201 SMI patients receiving active care during the observation period, 338 (4.7 %; 95 % CI 4.2-5.2) were identified as receiving long-term APP. Two second generation antipsychotics (64.8 %); and first -second generation antipsychotics were most commonly co-prescribed (32.5 %).

CONCLUSIONS

These results suggest that this is a potentially practical tool for identifying polypharmacy from mental health EHRs on a large scale. Furthermore, extracted data can be used to allow researchers to characterize patterns of polypharmacy over time including different drug combinations, trends in polypharmacy prescribing, predictors of polypharmacy prescribing and the impact of polypharmacy on patient outcomes.

Best Practices: MEDNET: a multistate policy maker-researcher collaboration to improve prescribing practices

States face new federal requirements to monitor psychotropic prescribing practices for children and adults enrolled in Medicaid. Effective use of quality measurement and quality improvement strategies hold the promise of improved outcomes for public mental health systems. The Medicaid/Mental Health Network for Evidence-Based Treatment (MEDNET), funded by the Agency for Healthcare Research and Quality, is a multistate Medicaid quality collaborative with the Rutgers University Center for Health Services Research on Pharmacotherapy, Chronic Disease Management, and Outcomes. This column describes the development, infrastructure, challenges, and early evidence of success of this public-academic partnership, the first multistate Medicaid quality improvement collaborative to focus on psychotropic medications.

Quality concerns in antipsychotic prescribing for youth: a review of treatment guidelines

BACKGROUND

Antipsychotic prescribing for youth has increased rapidly, is linked with serious health concerns, and lacks clear measures of quality for pediatric care. We reviewed treatment guidelines relevant to 7 quality concepts for appropriate use and management of youth on antipsychotics: 1) use in very young children, 2) multiple concurrent antipsychotics, 3) higher-than-recommended doses, 4) use without a primary indication, 5) access to psychosocial interventions, 6) metabolic screening, and 7) follow-up visits with a prescriber.

METHODS

We searched for clinical practice guidelines meeting the following criteria: developed or endorsed by a national body, published after 2000, and specific treatment recommendations made related to 1 or more of the 7 quality concepts. Sources included electronic databases, the American Academy of Child and Adolescent Psychiatry Web site, and stakeholder and expert advisory committee recommendations. Two raters reviewed the 11 guidelines identified, extracting treatment recommendations, including details that could support measure definitions, and ratings of strength of recommendation and evidence.

RESULTS

All 7 quality concepts were strongly endorsed by 1 or more guidelines, and 2 or more guidelines assigned their highest strength of recommendation ratings to 6 of the 7 concepts. Two guidelines rated evidence, providing high strength of evidence for 2 quality concepts: psychosocial interventions and metabolic monitoring.

CONCLUSIONS

Guidelines provide support for 7 quality concepts addressing antipsychotic prescribing for youth. However, guideline support is often based on strong clinical consensus rather than a robust evidence base.