Patient Outcomes, Health Care Resource Use, and Costs Associated with High Versus Low HEDIS Asthma Medication Ratio

A Roadmap for Using Causal Inference and Machine Learning to Personalize Asthma Medication Selection

Inhaled corticosteroid (ICS) is a mainstay treatment for controlling asthma and preventing exacerbations in patients with persistent asthma. Many types of ICS drugs are used, either alone or in combination with other controller medications. Despite the widespread use of ICSs, asthma control remains suboptimal in many people with asthma. Suboptimal control leads to recurrent exacerbations, causes frequent ER visits and inpatient stays, and is due to multiple factors. One such factor is the inappropriate ICS choice for the patient. While many interventions targeting other factors exist, less attention is given to inappropriate ICS choice. Asthma is a heterogeneous disease with variable underlying inflammations and biomarkers. Up to 50% of people with asthma exhibit some degree of resistance or insensitivity to certain ICSs due to genetic variations in ICS metabolizing enzymes, leading to variable responses to ICSs. Yet, ICS choice, especially in the primary care setting, is often not tailored to the patient's characteristics. Instead, ICS choice is largely by trial and error and often dictated by insurance reimbursement, organizational prescribing policies, or cost, leading to a one-size-fits-all approach with many patients not achieving optimal control. There is a pressing need for a decision support tool that can predict an effective ICS at the point of care and guide providers to select the ICS that will most likely and quickly ease patient symptoms and improve asthma control. To date, no such tool exists. Predicting which patient will respond well to which ICS is the first step toward developing such a tool. However, no study has predicted ICS response, forming a gap. While the biologic heterogeneity of asthma is vast, few, if any, biomarkers and genotypes can be used to systematically profile all patients with asthma and predict ICS response. As endotyping or genotyping all patients is infeasible, readily available electronic health record data collected during clinical care offer a low-cost, reliable, and more holistic way to profile all patients. In this paper, we point out the need for developing a decision support tool to guide ICS selection and the gap in fulfilling the need. Then we outline an approach to close this gap via creating a machine learning model and applying causal inference to predict a patient's ICS response in the next year based on the patient's characteristics. The model uses electronic health record data to characterize all patients and extract patterns that could mirror endotype or genotype. This paper supplies a roadmap for future research, with the eventual goal of shifting asthma care from one-size-fits-all to personalized care, improve outcomes, and save health care resources.

A primer on quality measurement and reporting in pharmacy benefit plans

Pharmacy benefit plans in the United States are evaluated on quality measures and other requirements of the government and accrediting organizations. This primer describes the roles of key organizations involved in measuring and reporting quality in pharmacy benefit plans and explains the methods that pharmacy benefit plans use to promote quality of medication use.

Sex differences in excessive oral corticosteroid exposure in poor adherent adult asthmatics overusing short-acting β-2 agonists

BACKGROUND

We know that excessive short-acting β2-agonists (SABA) use in asthma may be associated to high exacerbation risks. We studied whether such excessive SABA consumption is connected with different higher oral corticosteroid (OC) prescriptions in the two sexes.

METHODS

In our prescribing database, we searched subjects aged 18-40 years that were prescribed at least one SABA package/year and/or at least two ICS or two ICS/LABA boxes/year to identify asthmatics. Their OC prescriptions/year were also examined. Subjects were divided into 4 groups according to SABA packages/year prescribed (0, 1-2,3-6 and ≥7), considering sexes separately.

RESULTS

Individuals recruited were 9,102. Subjects with at least one OC prescription were higher in each group and were females (P<0.001). The OC packages/year number was also more elevated in women especially those with >7 SABA prescriptions/year (0.96 in males vs. 2.64 in females, P<0.001). 94.7%/93.6% males/females, who never used SABA, took at least one ICS/LABA (mean 5.84/5.48 packages/year), while the subject percentage adhering to ICS/LABA dropped to 28-47% (mean 0.94-3.82 packages/year) in those who used SABA (P<0.001). Higher SABA prescriptions were associated with an increasing OC dispensation (β=0.057, P<0.0001). We observed also a greater risk of using >3 OC packages/year in subjects with 3-6 (OR: 2.98 [95% CI: 2.19-4.06], P<0.001) and ≥7 (OR: 3.49 [95% CI: 2.39-5.10], P<0.001) SABA prescriptions compared to those that never used SABA. Besides, we found that using ICS (OR:0.51 [95% CI: 0.35-0.75], P<0.001) or ICS/LABA (OR:0.07 [95% CI: 0.05-0.09], P<0.001) may significantly reduce SABA prescriptions.

CONCLUSIONS

Poor adherence to maintenance treatment appears to associated with excessive SABA prescriptions that may lead to a higher OC consumption particularly noticeable in women.

A higher Asthma Medication Ratio (AMR) predicts a decrease in ED visits among African American and Hispanic children

INTRODUCTION

Higher rates of ED visits and hospitalizations for asthma among African American and Hispanic children may indicate suboptimal management of asthma, leading to a greater financial burden of healthcare. It is not well known if an association of race/ethnicity with controller medication and hospital-based care utilization exists.

OBJECTIVE

This study examines whether the Asthma Medication Ratio (AMR) predicts healthcare utilization for asthma by race/ethnicity.

METHODS

4,584 Medi-Cal children (Ages 5-11) with persistent asthma in Los Angeles were identified and their AMRs (2018) were calculated based on the HEDIS criteria. Healthcare utilization data were used, including hospitalizations, ED visits, and pharmacy claims to examine whether a higher AMR predicts decreases in healthcare utilization by race/ethnicity in the subsequent 3,6, and 12 months (2019).

RESULTS

The average AMR was lowest among African American children (0.401). In the subsequent 12 months, they were highest in ED visits (0.249) and hospitalizations (0.121), but lowest in outpatient visits (0.793). The results of logistic regression showed that a higher value of AMR (>0.5) contributed to decreases in ED visits in the subsequent 12 months only among African Americans (OR = 0.551, 95% CI 0.364-0.832) and Hispanics (OR = 0.613, 95% CI 0.489-0.770). No association between AMR and hospitalizations was found.

CONCLUSIONS

Our findings indicate that increased use of controller medication contributes to a decrease in ED visits among African American and Hispanic children with persistent asthma. Increased use of controller medications and caregiver's efforts for medication adherence may contribute to a reduction in asthma disparities.

Characteristics and outcomes associated with two asthma quality of care measures

OBJECTIVE

We investigated asthma quality measures to understand patient characteristics associated with non-attainment of quality care and measure the association with asthma-related emergency department (ED) visits or inpatient hospitalizations (IPs).

METHODS

Using administrative data from ALL Kids, Alabama's Children's Health Insurance Program, from 2013 to 2019 we calculated non-attainment of the Medication Management for Asthma (MMA) and Asthma Medication Ratio (AMR) quality measures. Patient characteristics and asthma-related ED visits and IPs associated with non-attainment of the MMA and AMR measures were assessed using logit regression models and Marginal effects at the mean.

RESULTS

Among 2528 children with asthma, 53.2% failed to attain the MMA measure and 8.5% the AMR measure. Prior asthma-related ED visits or IP stays increased likelihood of non-attainment by 14.8 percentage points (95% CI 8.6-20.9) for MMA and 7.3 percentage points (95% CI 2.8-11.8) for AMR. Among 868 children (34.3%) with three years of continuous enrollment, AMR non-attainment was associated with a 6.1 percentage point increase in ED or IP utilization (95% CI 1.3-10.9), however MMA non-attainment was not associated with either outcome. Prior ED visit/IP stay was associated with a 17.2 percentage point (95% CI 8.3-26.1) increase in the likelihood of a subsequent ED visit/IP stay among those with non-attainment MMA and a 15.5 percentage point increase (95% CI 6.9-24.2) for non-attainment AMR.

CONCLUSIONS

Patient characteristics associated with non-attainment of asthma quality measures presents actionable evidence to guide improvement efforts as non-attainment AMR increases the risk of subsequent ED visits and IP stays.

Systematic Literature Review of Systemic Corticosteroid Use for Asthma Management

Systemic corticosteroid use to manage uncontrolled asthma and its associated healthcare burden may account for important health-related adverse effects. We conducted a systematic literature review to investigate the real-world extent and burden of systemic corticosteroid use in asthma. We searched MEDLINE and Embase databases to identify English-language articles published in 2010–2017, using search terms for asthma with keywords for oral corticosteroids and systemic corticosteroids. Observational studies, prescription database analyses, economic analyses, and surveys on oral/systemic corticosteroid use in children (>5 yr old), adolescents (12–17 yr old), and adults with asthma were included. We identified and reviewed 387 full-text articles, and our review included data from 139 studies. The included studies were conducted in Europe, North America, and Asia. Overall, oral/systemic corticosteroids were commonly used for asthma management and were more frequently used in patients with severe asthma than in those with milder disease. Long-term oral/systemic corticosteroid use was, in general, less frequent than short-term use. Compared with no use, long-term and repeated short-term oral/systemic corticosteroid use were associated with an increased risk of acute and chronic adverse events, even when doses were comparatively low. Greater oral/systemic corticosteroid exposure was also associated with increased costs and healthcare resource use. This review provides a comprehensive overview of oral/systemic corticosteroid use and associated adverse events for patients with all degrees of asthma severity and exposure duration. We report that oral/systemic corticosteroid use is prevalent in asthma management, and the risks of acute and chronic complications increase with the cumulative oral corticosteroid dosage.

High oral corticosteroid exposure and overuse of short-acting beta-2-agonists were associated with insufficient prescribing of controller medication: a nationwide electronic prescribing and dispensing database analysis

Background

Recurrent use of oral corticosteroids (OCS) and over-use of short-acting beta-2-agonists (SABA) are factors associated with adverse side effects and asthma-related death. We aim to quantify high OCS exposure, SABA over-use and its association with prescription and adherence to maintenance treatment for respiratory disease, among patients with prescriptions for respiratory disease, from the Portuguese electronic prescription and dispensing database (BDNP).

Methods

This was a 1-year (2016) retrospective population-based analysis of a random sample of adult patients from the BDNP, the nationwide compulsory medication prescription system. We assessed high OCS exposure (dispensing ≥ 4 packages containing 20 doses of 20 mg each of prednisolone-equivalent, ≥ 1600 mg/year) on patients on persistent respiratory treatment (PRT-prescription for > 2 packages of any respiratory maintenance medications). Excessive use of SABA was defined as having a ratio of SABA-to-maintenance treatment > 1 or having SABA over-use (dispensing of > 1 × 200 dose canister/month, of 100 μg of salbutamol-equivalent). Factors associated with high OCS exposure were assessed by multinomial logistic regression.

Results

The estimated number of patients on PRT was 4786/100,000 patients. OCS was prescribed to more than 1/5 of the patients on PRT and 101/100,000 were exposed to a high-dose (≥ 1600 mg/year). SABA excessive use was found in 144/100,000 patients and SABA over-use in 24/100,000. About 1/6 of SABA over-users were not prescribed any controller medication and 7% of them had a ratio maintenance-to-total ≥ 70% (high prescription of maintenance treatment). Primary adherence (median%) to controller medication was 66.7% for PRT patients, 59.6% for patients exposed to high OCS dose and 75.0% for SABA over-users. High OCS exposure or SABA over-use were not associated with primary adherence. High OCS exposure was associated with a maintenance-to-total medication ratio < 70% (insufficient prescription of maintenance treatment), age > 45 years old and male sex.

Conclusions

Exposure to high-dose of OCS (101 per 100,000 patients) and SABA over-use (24 per 100,000) were frequent, and were associated with a low maintenance-to-total prescription ratio but not with primary non-adherence. These results suggest there is a need for initiatives to reduce OCS and SABA inappropriate prescribing.