Mitigating Racial Bias in Health Care Algorithms: Improving Fairness in Access to Supportive Housing.

Algorithms for guiding health care decisions have come under increasing scrutiny for being unfair to certain racial and ethnic groups. The authors describe their multistep process, using data from 3,465 individuals, to reduce racial and ethnic bias in an algorithm developed to identify state Medicaid beneficiaries experiencing homelessness and chronic health needs who were eligible for coordinated health care and housing supports. Through an iterative process of adjusting inputs, reviewing outputs with diverse stakeholders, and performing quality assurance, the authors developed an algorithm that achieved racial and ethnic parity in the selection of eligible Medicaid beneficiaries.

Associations Between Inpatient Induction on Medications for Opioid Use Disorder and Postdischarge Medications for Opioid Use Disorder Adherence, Overdose, and Service Use.

OBJECTIVES: This study aimed to examine outcomes of a pilot program designed to increase inpatient medications for opioid use disorder (MOUD) induction and to support MOUD adherence after discharge. METHODS: This retrospective cohort analysis examined Medicaid adults diagnosed with opioid use disorder discharged from 2 freestanding inpatient withdrawal management facilities between October 1, 2018, and December 31, 2019. Participants had ≥90 days of continuous Medicaid enrollment before and after admission. Odds ratios (ORs) examined associations of inpatient MOUD induction with discharge against medical advice, 7- and 30-day all-cause hospital readmission, and postdischarge MOUD adherence. Mixed-effect models examined changes associated with MOUD induction and postdischarge MOUD adherence in acute service utilization and opioid overdose in the 90-day postdischarge period. RESULTS: Of the 2332 patients discharged, 493 started MOUD inpatient care (21.1%), with most initiating buprenorphine (76.5%). Induction of MOUD was associated with a lower likelihood of discharge against medical advice (OR, 0.49; 95% confidence interval [CI], 0.37-0.64), 30-day all-cause hospital readmission (OR, 0.61; 95% CI, 0.47-0.80), and higher odds of postdischarge MOUD adherence (OR, 3.83; 95% CI, 3.06-4.81). In the 90 days after discharge, MOUD adherent patients had significant reductions in emergency department visits for behavioral health, inpatient days, withdrawal management episodes, and opioid overdoses compared with the 90-day preadmission period. CONCLUSIONS: Inpatient MOUD induction is associated with a higher likelihood of short-term MOUD adherence after discharge, which in turn is associated with significant reductions in short-term service utilization and opioid overdose after discharge.

Predictive modeling of service discontinuation in transitional age youth with recent behavioral health service use.

OBJECTIVE: To develop and test predictive models of discontinuation of behavioral health service use within 12 months in transitional age youth with recent behavioral health service use. DATA SOURCES: Administrative claims for Medicaid beneficiaries aged 15-26 years in Connecticut. STUDY DESIGN: We compared the performance of a decision tree, random forest, and gradient boosting machine learning algorithms to logistic regression in predicting service discontinuation within 12 months among beneficiaries using behavioral health services. DATA EXTRACTION: We identified 33,532 transitional age youth with ≥1 claim for a primary behavioral health diagnosis in 2016 and Medicaid enrollment of ≥11 months in 2016 and ≥11 months in 2017. PRINCIPAL FINDINGS: Classification accuracy for identifying youth who discontinued behavioral health service use was highest for gradient boosting (80%, AUC = 0.86), decision tree (79%, AUC = 0.84), and random forest (79%, AUC = 0.86), as compared with logistic regression (71%, AUC = 0.71). CONCLUSIONS: Predictive models based on Medicaid claims can assist in identifying transitional age youth who are at risk of discontinuing from behavioral health care within 12 months, thus allowing for proactive assessment and outreach to promote continuity of care for younger persons who have behavioral health needs.

Predictors of Behavioral Health Service Utilization in a Medicaid Enrolled Sample of Emerging Adults.

Emerging adults (EA), individuals between the ages of 15-26, face many challenges in their transition to a new developmental stage, especially those with behavioral health concerns who do not receive the supports they need. Many EA drop out of services at 18, which is likely due in part to the need to transition to the adult service system and the lack of available transition support services in child/adolescent service systems. Though this is a clear disparity, research on EA service utilization, especially those enrolled in Medicaid and with co-occurring conditions, is rare. This paper begins to address this gap by examining variables at age 17 that predict the service utilization of continuously Medicaid enrolled EA at age 18. Data came from an administrative dataset. The sample had 4,548 EA and 53% were female, 50% identified with a minority group, and 19% were child-welfare involved. Exploratory logistic regression analyses were used. Minority EA had lower odds of utilizing services at age 18. EA involved with child welfare had greater odds of utilizing services at age 18. EA with at least one Substance Use Disorder (SUD) and at least one mental health disorder at 17 had a higher likelihood of service utilization at 18, the opposite was true for EA with only SUDs. These findings identified predictors of service utilization for an understudied sample-EA enrolled in Medicaid. Results provided preliminary evidence that EA with SUD diagnoses access behavioral health services differently than those without a SUD diagnosis, and that it is fruitful to examine subgroups of EA when seeking to understand their service utilization patterns. Identifying predictors of service utilization during the transition period from the child to the adult system can help inform systems interventions to retain EA in services.

Intensive Outpatient Treatment (IOP) of Behavioral Health (BH) Problems: Engagement Factors Predicting Subsequent Service Utilization.

The purpose of the study is to 1) better understand patterns of utilization of Intensive Outpatient Treatment (IOP) Programs and Services in the State of Connecticut by adult Medicaid recipients experiencing a serious mental illness, substance use disorder, or co-occurring disorders; and 2) to determine the relationship between the duration of an IOP episode and connection to care rates for higher (i.e., rehospitalization) or lower levels of care following discharge. We hypothesized that the duration of an IOP episode would impact positively in reducing the use of higher levels of care while increasing the use of lower levels of care. In order to examine the frequency and duration of use of Intensive Outpatient (IOP) services by the CT Medicaid population, a two-year timeframe was selected: July 1, 2012 to June 30, 2014. A survival analysis was conducted to assess the risk of readmission to an IOP within 180 days based on demographic and utilization factors including, Age (in years on date of discharge), Race and Ethnicity, Gender, Homeless Status (at least one day in CY 2013), and Engagement Group (Intent to Treat, Early Termination, Minimally Adequate Dosage, & Target or More). To better understand the patterns of utilization associated with Adult IOP services, the average length of stay, number of treatment days, and average number of treatment days per week were explored. The number of unique individuals who were part of this analysis is 11,473, of which 2050 were mental health IOP utilizers (18%), 4598 were co-occurring IOP utilizers (40%), and 4825 (42%) were substance use IOP utilizers. For the total population, the average length of stay (ALOS) in days was 42 and the average number of treatment days attended per week was 2.5, for an average of 15 treatment days per episode of care. Among the IOP Cohorts, the Mental Health Cohort had the longest ALOS at 44.15 days, an average of 2.34 days of service per week, for an average of 14.76 days of IOP service per episode of care. The Substance Use Cohort had the shortest ALOS at 41.33 days, but had the highest intensity of services per week at 2.71 for an average of 16 days of service per episode of care. The Co-Occurring Cohort presented an ALOS of 41.74 days, an average of 2.32 services per week and an average of 13.83 sessions per episode. Overall there is evidence supporting an association between the number of days of care and protection from hospitalization, up to a certain number of days of care or number of days in IOP. Above the Minimally Adequate Dosage, the IOP protection factor seems to reach a plateau. This means that after 16 days of care, the chances of hospitalization remain the same regardless of the additional days provided.

Impact of Mobile Crisis Services on Emergency Department Use Among Youths With Behavioral Health Service Needs.

OBJECTIVE: Youths are using emergency departments (EDs) for behavioral health services in record numbers, even though EDs are suboptimal settings for service delivery. In this article, the authors evaluated a mobile crisis service intervention implemented in Connecticut with the aim of examining whether the intervention was associated with reduced behavioral health ED use among those in need of services. METHODS: The authors examined two cohorts of youths: 2,532 youths who used mobile crisis services and a comparison sample of 3,961 youths who used behavioral health ED services (but not mobile crisis services) during the same fiscal year. Propensity scores were created to balance the two groups, and outcome analyses were used to examine subsequent ED use (any behavioral health ED admissions and number of behavioral health ED admissions) in an 18-month follow-up period. RESULTS: A pooled odds ratio of 0.75 (95% confidence interval [CI]=0.66-0.84) indicated that youths who received mobile crisis services had a significant reduction in odds of a subsequent behavioral health ED visit compared with youths in the comparison sample. The comparable result for the continuous outcome of number of behavioral health ED visits yielded an incidence risk ratio of 0.78 (95% CI=0.71-0.87). CONCLUSIONS: Using comparison groups, the authors provided evidence suggesting that community-based mobile crisis services, such as Mobile Crisis, reduce ED use among youths with behavioral health service needs. Replication in other years and locations is needed. Nevertheless, these results are quite promising in light of current trends in ED use.

Inhaler screw-up: A real world cystic fibrosis (CF) case.

A 40-year-old male with Cystic Fibrosis developed a sudden onset choking, cough, dyspnea and hemoptysis after using his inhaler. He presented to A&E. CT scan located a foreign body in his right bronchus intermedius (RBI). Rigid bronchoscopy was performed and removed a plastic rawl plug with screw from his RBI. He made a rapid recovery. On questioning he mentioned he had stored his inhaler uncapped in the same pocket he had this screw which he found at work. Small objects can lodge in inhalers due to their design/mouthpiece uncapping. This can result in endobronchial foreign body aspiration. This case highlights the importance of replacing inhaler cap when not in use.

A Pay-for-Performance Initiative to Reduce Pediatric Psychiatric Inpatient Length of Stay.

This column presents results of a pay-for-performance (P4P) initiative to reduce psychiatric inpatient length of stay for Medicaid-covered youths at eight hospitals in Connecticut in 2008 (N=715), 2009 (N=1,408), and 2010 (N=782). Compared with the 2007 baseline, average length of stay decreased by 25% (from 18.1 to 13.6 days) by the end of the P4P program, with concurrent nonsignificant decreases in 7- and 30-day readmissions. Readmitted youths tended to access postdischarge care sooner and use more community-based services during the first 180 days postdischarge. Additional research is needed, but the P4P program appears to have contributed to shortening inpatient stay without apparent adverse outcome on increases in postdischarge service use.

Knockdown of Crispld2 in zebrafish identifies a novel network for nonsyndromic cleft lip with or without cleft palate candidate genes.

Orofacial development is a multifaceted process involving tightly regulated genetic signaling networks, that when perturbed, lead to orofacial abnormalities including cleft lip and/or cleft palate. We and others have shown an association between the cysteine-rich secretory protein LCCL domain containing 2 (CRISPLD2) gene and nonsyndromic cleft lip with or without cleft palate (NSCLP). Further, we demonstrated that knockdown of Crispld2 in zebrafish alters neural crest cell migration patterns resulting in abnormal jaw and palate development. In this study, we performed RNA profiling in zebrafish embryos and identified 249 differentially expressed genes following knockdown of Crispld2. In silico pathway analysis identified a network of seven genes previously implicated in orofacial development for which differential expression was validated in three of the seven genes (CASP8, FOS, and MMP2). Single nucleotide variant (SNV) genotyping of these three genes revealed significant associations between NSCLP and FOS/rs1046117 (GRCh38 chr14:g.75746690 T > C, p = 0.0005) in our nonHispanic white (NHW) families and MMP2/rs243836 (GRCh38 chr16:g.55534236 G > A; p = 0.002) in our Hispanic families. Nominal association was found between NSCLP and CASP8/rs3769825 (GRCh38 chr2:g.202111380 C > A; p < 0.007). Overtransmission of MMP2 haplotypes were identified in the Hispanic families (p < 0.002). Significant gene-gene interactions were identified for FOS-MMP2 in the NHW families and for CASP8-FOS in the NHW simplex family subgroup (p < 0.004). Additional in silico analysis revealed a novel gene regulatory network including five of these newly identified and 23 previously reported NSCLP genes. Our results demonstrate that animal models of orofacial clefting can be powerful tools to identify novel candidate genes and gene regulatory networks underlying NSCLP.

Impact of electronic personal health record use on engagement and intermediate health outcomes among cardiac patients: a quasi-experimental study.

OBJECTIVES: To determine the impact of tethered personal health record (PHR) use on patient engagement and intermediate health outcomes among patients with coronary artery disease (CAD). METHODS: Adult CAD patients (N = 200) were enrolled in this prospective, quasi-experimental observational study. Each patient received a PHR account and training on its use. PHRs were populated with information from patient electronic medical records, hosted by a Health Information Exchange. Intermediate health outcomes including blood pressure, body mass index, and hemoglobin A1c (HbA1c) were evaluated through electronic medical record review or laboratory tests. Trends in patient activation measure® (PAM) were determined through three surveys conducted at baseline, 6 and 12 months. Frequency of PHR use data was collected and used to classify participants into groups for analysis: Low, Active, and Super users. RESULTS: There was no statistically significant improvement in patient engagement as measured by PAM scores during the study period. HbA1c levels improved significantly in the Active and Super user groups at 6 months; however, no other health outcome measures improved significantly. Higher PAM scores were associated with lower body mass index and lower HbA1c, but there was no association between changes in PAM scores and changes in health outcomes. Use of the PHR health diary increased significantly following PHR education offered at the 6-month study visit and an elective group refresher course. CONCLUSIONS: The study findings show that PHR use had minimal impact on intermediate health outcomes and no significant impact on patient engagement among CAD patients.

A new modelling framework for statistical cumulus dynamics.

We propose a new modelling framework suitable for the description of atmospheric convective systems as a collection of distinct plumes. The literature contains many examples of models for collections of plumes in which strong simplifying assumptions are made, a diagnostic dependence of convection on the large-scale environment and the limit of many plumes often being imposed from the outset. Some recent studies have sought to remove one or the other of those assumptions. The proposed framework removes both, and is explicitly time dependent and stochastic in its basic character. The statistical dynamics of the plume collection are defined through simple probabilistic rules applied at the level of individual plumes, and van Kampen's system size expansion is then used to construct the macroscopic limit of the microscopic model. Through suitable choices of the microscopic rules, the model is shown to encompass previous studies in the appropriate limits, and to allow their natural extensions beyond those limits.

Extended Day Treatment: A Comprehensive Model of After School Behavioral Health Services for Youth.

This paper describes Extended Day Treatment (EDT), an innovative intermediate-level service for children and adolescents with serious emotional and behavioral disorders, delivered in the after school hours. The current paper describes the core components of the EDT model of care within the context of statewide systems of care, including its theoretical foundations, core service components, relation to evidence-based practices, workforce composition and staff training, and data collection and reporting mechanisms. Recommendations are provided for statewide implementation, followed by discussion of model development as an approach to systems reform for the treatment of children and youth with emotional and behavioral disorders.

Comparison of stochastic parametrization approaches in a single-column model.

We discuss and test the potential usefulness of single-column models (SCMs) for the testing of stochastic physics schemes that have been proposed for use in general circulation models (GCMs). We argue that although single-column tests cannot be definitive in exposing the full behaviour of a stochastic method in the full GCM, and although there are differences between SCM testing of deterministic and stochastic methods, SCM testing remains a useful tool. It is necessary to consider an ensemble of SCM runs produced by the stochastic method. These can be usefully compared with deterministic ensembles describing initial condition uncertainty and also with combinations of these (with structural model changes) into poor man's ensembles. The proposed methodology is demonstrated using an SCM experiment recently developed by the GCSS (GEWEX Cloud System Study) community, simulating transitions between active and suppressed periods of tropical convection.

Two-year trends in the use of seclusion and restraint among psychiatrically hospitalized youths.

OBJECTIVES: This study examined characteristics associated with the use of seclusion and restraint among 442 psychiatrically hospitalized youths and sought to quantify changing trends in the rates of these modalities of treatment over time after the 1999 implementation of federal regulations and an institutional performance improvement program. METHODS: Demographic and clinical data related to all 5,929 incidents of seclusion and restraint that occurred during 2000 and 2001 at a child and adolescent state psychiatric hospital were analyzed. RESULTS: The two-year prevalence of use of seclusion was 61 percent and of restraint was 49 percent. Children and adolescents who were admitted on an emergency basis and those belonging to ethnic minority groups were more likely to undergo seclusion or restraint. Children aged 11 years and younger were more likely to undergo seclusion. The total number of episodes decreased by 26 percent and their cumulative duration decreased by 38 percent between the first quarter of 2000 and the last quarter of 2001. The decreases were the result of fewer seclusion and restraint incidents as well as shorter episodes of restraint. Over time, a concurrent increase was observed in the proportion of episodes associated with patient (but not staff) injuries and with as-needed use of medications. CONCLUSIONS: National reforms and institutional efforts can lead to downward trends in the use of seclusion and restraint among psychiatrically hospitalized youths. The active elements of these interventions warrant further study and replication.