Incorporating clinician insight and care plans into an audit and feedback initiative for antipsychotic prescribing to Medicaid-enrolled youth in Philadelphia.

BACKGROUND: Audit and feedback (A/F), which include initiatives like report cards, have an inconsistent impact on clinicians' prescribing behavior. This may be attributable to their focus on aggregate prescribing measures, a one-size-fits-all approach, and the fact that A/F initiatives rarely engage with the clinicians they target. METHODS: In this study, we describe the development and delivery of a report card that summarized antipsychotic prescribing to publicly-insured youth in Philadelphia, which was introduced by a Medicaid managed care organization in 2020. In addition to measuring aggregate prescribing behavior, the report card included different elements of care plans, including whether youth were receiving polypharmacy, proper medication management, and the concurrent use of behavioral health outpatient services. The A/F initiative elicited feedback from clinicians, which we refer to as an "audit and feedback loop." We also evaluate the impact of the report card by comparing pre-post differences in prescribing measures for clinicians who received the report card with a group of clinicians who did not receive the report card. RESULTS: Report cards indicated that many youth who were prescribed antipsychotics were not receiving proper medication management or using behavioral health outpatient services alongside the antipsychotic prescription, but that polypharmacy was rare. In their feedback, clinicians who received report cards cited several challenges related to antipsychotic prescribing, such as the logistical difficulties of entering lab orders and family members' hesitancy to change care plans. The impact of the report card was mixed: there was a modest reduction in the share of youth receiving polypharmacy following the receipt of the report card, while other measures did not change. However, we documented a large reduction in the number of youth with one or more antipsychotic prescription fill among clinicians who received a report card. CONCLUSIONS: A/F initiatives are a common approach to improving the quality of care, and often target specific practices such as antipsychotic prescribing. Report cards are a low-cost and feasible intervention but there is room for quality improvement, such as adding measures that track medication management or eliciting feedback from clinicians who receive report cards. To ensure that the benefits of antipsychotic prescribing outweigh its risks, it is important to promote quality and safety of antipsychotic prescribing within a broader care plan.

The impact of opioid prescribing report cards in Medicaid.

BACKGROUND: Performance feedback has been used for decades to improve health care quality and safety, with varying degrees of success. One example is the use of customized report cards that target inappropriate prescribing of high-risk medications, including opioids. Randomized controlled trials suggest that report cards are an effective tool to change opioid prescribing behavior, but their effectiveness in community settings is unclear. OBJECTIVE: To evaluate the impact of opioid prescribing report cards, which were mailed to Medicaid providers in Philadelphia, Pennsylvania. METHODS: Using a quasi-experimental approach, we compared trends in opioid prescribing by Medicaid providers in Philadelphia, who received a report card in late 2017, with Medicaid providers in surrounding counties, who did not receive report cards. First, we used propensity score matching to balance observed differences in the treatment and comparison groups; matching variables included provider specialty, sex, and selected characteristics of providers' Medicaid patient panels. We then estimated a difference-in-differences model to isolate the impact of report cards on opioid prescribing. RESULTS: The analytical sample included 1,598 providers in Philadelphia and 2,117 providers in surrounding counties, who prescribed opioids to 99,548 Medicaid patients during the study period. Although the number of Medicaid patients receiving opioids and the days supplied of opioids declined in both Philadelphia and surrounding counties during the study period, there was a larger reduction in Philadelphia Medicaid than in surrounding counties after the report cards were mailed. In the 6 months after the report cards were mailed (January 2018 to June 2018) compared with the 6 months before they were mailed (July 2017 to December 2017), we estimate that the reduction in opioid prescribing in Philadelphia Medicaid amounted to nearly 3 fewer Medicaid patients with an opioid prescription per month. CONCLUSIONS: After customized opioid prescribing report cards were mailed to Medicaid providers in Philadelphia, Pennsylvania, there was a statistically significant reduction in opioid prescribing to Medicaid patients relative to surrounding counties. Our findings suggest that opioid prescribing report cards with peer comparison are an effective way to influence opioid prescribing behavior among Medicaid providers. Report cards can complement other initiatives that target inappropriate opioid prescribing, such as prescription drug monitoring programs and prior authorization. DISCLOSURES: Drs Candon and Rothbard and Ms Shen received funding from Community Behavioral Health in Philadelphia, Pennsylvania. Drs Xue, Cole, and Donohue received funding from Pennsylvania Department of Human Services. Neither Community Behavioral Health nor the Pennsylvania Department of Human Services was involved in the study design; collection, analysis, and interpretation of data; writing of the report; or the decision to submit the report for publication.

The implementation of opioid prescribing report cards in Medicaid managed care: a community quality collaborative.

Philadelphia, Pennsylvania, is an urban epicenter of the opioid epidemic, and inappropriate opioid prescribing remains a top concern. To help address this issue, the Philadelphia Medicaid Opioid Prescribing Initiative, a type of community quality collaborative, mailed thousands of local Medicaid providers an individualized prescribing report card in 2017 and 2018. The report card featured details of providers' opioid prescribing, including peer comparison measures and inappropriate prescribing measures like concomitant opioid and benzodiazepine prescribing. This case study describes the unique process of developing and distributing the opioid prescribing report cards, with a particular focus on the role of Medicaid managed care organizations. Using Medicaid pharmacy claims, the extensive variation in prescribing measures within and across specialties is also illustrated. The report card's implementation points to the potential value of collaborations between public health departments and Medicaid managed care organizations and can provide insight for other locally grown policies.

Trends in antipsychotic prescribing for approved and unapproved indications to Medicaid-enrolled youth in Philadelphia, Pennsylvania between 2014 and 2018.

BACKGROUND: Antipsychotic prescribing to Medicaid-enrolled youth has been the target of numerous policy initiatives, including prior authorization and quality monitoring programs, which often target specific populations. Whether these efforts have changed the level or composition of antipsychotic prescribing is unclear. METHODS: Using 2014-2018 administrative claims data for Medicaid enrollees aged 21 years and under in Philadelphia, Pennsylvania, we measured antipsychotic prescription fills overall and for youth without an approved indication (autism, bipolar disorder, or psychosis). We then assessed whether trends differed for populations that have been targeted by policy initiatives, including younger children and foster care-enrolled youth. We also identified the most common approved and unapproved indications and examined whether the treatment duration of antipsychotic prescriptions differed based on whether the youth had an approved or unapproved indication. RESULTS: Overall, the number of Medicaid youth with an antipsychotic prescription fill halved between 2014 and 2018. Youth aged 17 years and under and foster care-enrolled youth, who were targeted by prior authorization and quality improvement efforts, experienced larger declines. Roughly half of prescriptions were for unapproved indications in both 2014 and 2018; the most common unapproved indication was ADHD, and the treatment duration was shorter for unapproved indications compared to approved indications. CONCLUSIONS: Antipsychotic prescribing to Medicaid-enrolled youth is declining, particularly among populations that have been targeted by policy initiatives like prior authorization and quality monitoring programs. Despite the fact that these initiatives often assess diagnostic criteria, half of antipsychotic prescriptions were for unapproved indications in both 2014 and 2018. More research is needed to gauge whether this prescribing is appropriate.

Transporting to treatment: Evaluating the effectiveness of a mobile engagement unit.

BACKGROUND: Substance use treatment providers have increasingly developed novel engagement and low-threshold treatment services (such as mobile treatment units) to meet the needs of people with opioid use disorder (OUD). Use of these service models has outpaced the research on their effectiveness. The current study examines the effectiveness of a mobile engagement unit in connecting individuals with OUD to a treatment program. METHODS: This retrospective cohort study included 468 Medicaid-enrolled individuals served through a managed care behavioral health system. Analyses used administrative data from 2018 to 2019 to compare the characteristics and service use of individuals transported to an intake appointment by a mobile engagement unit with individuals who arrived through typical referral routes such as walk-in, other providers, and court order. The authors employed a difference-in-differences analysis to adjust for prior service history. The outcomes of interest were any utilization of substance use treatment services. RESULTS: The groups were virtually identical in age and gender, prior to matching, except for race where there was a lower proportion of Black individuals (17% versus 44%) and lower pre-service utilization of outpatient and methadone services by the mobile group. Following intake, mobile participants used significantly more outpatient substance use treatment services (23 percentage point relative increase) and methadone maintenance (32 percentage point relative increase) than the comparison group. CONCLUSIONS: The results of this study suggest that mobile engagement units designed to identify and serve individuals with OUD in the community hold promise for reaching underserved high-risk populations and reduce barriers to treatment entry and recovery.

Impact of a medical home model on costs and utilization among comorbid HIV-positive Medicaid patients.

OBJECTIVES: The Pennsylvania Chronic Care Initiative (CCI) was a statewide patient-centered medical home (PCMH) initiative implemented from 2008 to 2011. This study examined whether the CCI affected utilization and costs for HIV-positive Medicaid patients with both medical and behavioral health comorbidities. STUDY DESIGN: Nonrandomized comparison of 302 HIV-positive Medicaid patients treated in 137 CCI practices and 2577 HIV-positive Medicaid patients treated elsewhere. METHODS: All patients had chronic medical conditions (diabetes, chronic obstructive pulmonary disease, asthma, or congestive heart failure) and a psychiatric and/or substance use disorder. Analyses used Medicaid claims data to examine changes in total per patient costs per month from 1 year prior to 1 year following an index episode. Propensity score weighting was used to adjust for potential sample differences. Secondary outcomes included costs and utilization of emergency department, inpatient, and outpatient/pharmacy services. RESULTS: We identified an average total cost savings of $214.10 per patient per month (P = .002) for the CCI group relative to the non-CCI group. This was a function of decreased inpatient medical (-$415.69; P = .007) and outpatient substance abuse treatment (-$4.86; P = .001) costs, but increased non-HIV pharmacy costs ($158.43; P = .001). Utilization for the CCI group, relative to the non-CCI group, was correspondingly decreased for inpatient medical services (odds ratio [OR], 0.619; P = .002) and inpatient services overall (OR, 0.404; P = .001), but that group had greater numbers of outpatient medical service claims when they occurred (11.7%; P = .003) and increased non-HIV pharmacy claims (9.7%; P = .001). CONCLUSIONS: There was increased outpatient service utilization, yet relative cost savings, for HIV-positive Medicaid patients with medical and behavioral health comorbidities who were treated in PCMHs.

Pennsylvania's Medical Home Initiative: Reductions in Healthcare Utilization and Cost Among Medicaid Patients with Medicaland Psychiatric Comorbidities.

BACKGROUND: The Chronic Care Initiative (CCI) was a large state-wide patient-centered medical home (PCMH) initiative in Pennsylvania in place from 2008-2011. OBJECTIVE: Determine whether the CCI impacted the utilization and costs for Medicaid patients with chronic medical conditions and comorbid psychiatric or substance use disorders. DESIGN: Analysis of Medicaid claims using difference-in-difference regression analyses to compare changes in utilization and costs for patients treated at CCI practices to propensity score-matched patients treated at comparison non-CCI practices. SETTING: Ninety-six CCI practices in Pennsylvania and 60 non-CCI practices during the same time period. PARTICIPANTS: A total of 11,105 comorbid Medicaid patients treated in CCI practices and an equal number of propensity-matched comparison patients treated in non-CCI practices. MEASUREMENTS: Changes in total per-patient costs from 1 year prior to 1 year following an index episode period. Secondary outcomes included utilization and costs for emergency department (ED), inpatient, and outpatient services. RESULTS: The CCI group experienced an average adjusted total cost savings of $4145.28 per patient per year (P = 0.023) for the CCI relative to the non-CCI group. This was largely driven by a $3521.15 savings (P = 0.046) in inpatient medical costs, in addition to relative savings in outpatient psychiatric ($21.54, P < 0.001) and substance abuse service costs ($16.42, P = 0.013), compared to the non-CCI group. The CCI group, related to the non-CCI group, had decreases in expected mean counts of ED visits (for those who had any) and psychiatric hospitalizations of 15.6 (95 % CI: -21, -9) and 40.7 (95 % CI: -57, -18) percentage points respectively. LIMITATIONS: We do not measure quality of care and cannot make conclusions about the overall cost-effectiveness or long-term effects of the CCI. CONCLUSIONS: The CCI was associated with substantial cost savings, attributable primarily to reduced inpatient costs, among a high-risk group of Medicaid patients, who may disproportionally benefit from care management in patient-centered medical homes.

Quality of Diabetes Care Among Adult Medicaid Enrollees With Mental Disorders.

OBJECTIVE: In light of the national trend toward integrating mental and general medical care, this study examined disparities in diabetes treatment among Medicaid recipients in a nonintegrated, managed care behavioral health carve-out system. METHODS: A retrospective study of Medicaid claims (July 2009-June 2010) compared quality of diabetes treatment among 21,015 patients with and without mental disorders. RESULTS: Presence of a mental disorder was associated with higher use of outpatient and primary care services for diabetes, lower rates of hospitalizations for diabetes, and higher odds of receiving three or more quality measures for diabetes care. Patients with serious mental illness had better diabetes care compared with patients with other mental disorders and patients with no mental disorders. CONCLUSIONS: Findings suggest that managed care behavioral health carve-out systems should be considered among the range of approaches for improving treatment for diabetes among persons with comorbid mental disorders, particularly serious mental disorders.

Effects of comorbid health conditions on healthcare expenditures among people with severe mental illness.

BACKGROUND AND AIMS: Little is known about the incremental cost burden associated with treating comorbid health conditions among people with severe mental illness (SMI). This study compares the extent to which each individual medical condition increases healthcare expenditures between people with SMI and people without mental illness. METHODS: Data were obtained from the 2011 Medical Expenditure Panel Survey (MEPS; N = 17 764). Mental illness and physical health conditions were identified through ICD-9 codes. Guided by the Andersen's behavioral model of health services utilization, generalized linear models were conducted. RESULTS: Total healthcare expenditures among individuals with SMI were approximately 3.3 times greater than expenditures by individuals without mental illness ($11 399 vs. $3449, respectively). Each additional physical health condition increased the total healthcare expenditure by 17.4% for individuals with SMI compared to the 44.8% increase for individuals without mental illness. CONCLUSIONS: The cost effect of having additional health conditions on the total healthcare expenditures among individuals with SMI is smaller than those individuals without mental illness. Whether this is due to limited access to healthcare for the medical problems or better coordination between medical and mental health providers, which reduces duplicated medical procedures or visits, requires future investigation.

Determining the Cost-Savings Threshold for HIV Adherence Intervention Studies for Persons with Serious Mental Illness and HIV.

Persons with serious mental illnesses are at increased risk for contracting and transmitting HIV and often have poor adherence to medication regimens. Determining the economic feasibility of different HIV adherence interventions among individuals with HIV and serious mental illness is important for program planners who must make resource allocation decisions. The goal of this study was to provide a methodology to estimate potential cost savings from an HIV medication adherence intervention program for a new study population, using data from prior published studies. The novelty of this approach is the way CD4 count data was used as a biological marker to estimate costs averted by greater adherence to anti-retroviral treatment. Our approach is meant to be used in other adherence intervention studies requiring cost modeling.

The effectiveness of clinician feedback in the treatment of depression in the community mental health system.

OBJECTIVE: We describe the development and evaluation of a clinician feedback intervention for use in community mental health settings. The Community Clinician Feedback System (CCFS) was developed in collaboration with a community partner to meet the needs of providers working in such community settings. METHOD: The CCFS consists of weekly performance feedback to clinicians, as well as a clinical feedback report that assists clinicians with patients who are not progressing as expected. Patients in the randomized sample (N = 100) were predominantly female African Americans, with a mean age of 39 years. RESULTS: Satisfaction ratings of the CCFS indicate that the system was widely accepted by clinicians and patients. A hierarchical linear models (HLM) analysis comparing rates of change across conditions controlling for baseline gender, age, and racial group indicated a moderate effect in favor of the feedback condition for symptom improvement, t(94) = 2.41, p = .017, d = .50. Thirty-six percent of feedback patients compared with only 13% of patients in the no-feedback condition demonstrated clinically significant change across treatment, χ2(1) = 6.13, p = .013. CONCLUSIONS: These results indicate that our CCFS is acceptable to providers and patients of mental health services and has the potential to improve the effectiveness of services for clinically meaningful depression in the community mental health setting.

Effects of social networks on physical health among people with serious mental illness.

This study examined the effects of social network characteristics on physical health among people with serious mental illness using social transactions that are reciprocal, and the combination of objective and subjective health measures. The sample consisted of a probability sample of 231 adults with serious mental illness who resided in permanent supportive housing in Philadelphia, Pennsylvania. Path analyses were conducted to examine the relationships between social network characteristics and two aspects of medical comorbidity, objective health and subjective health. Bivariate statistics showed that individuals with medical comorbidity were more likely to have contact with their network members and had a higher level of reciprocal positive tangible support when compared to those who did not have medical comorbidity. The results of the path analyses revealed that none of the social network characteristics were associated with better physical health. The lack of a significant relationship between social networks and better physical health is contrary to prior research findings. However, this is the first study to include both types of social transactions simultaneously as predictors of better physical health for individuals with serious mental illness. A longitudinal study would provide more insight into the temporal relationship of social networks and physical health conditions of people with serious mental illness. Furthermore, the transactional nature of social relationships, particularly for those with mental health issues, requires greater exploration.

Evaluating the effectiveness of an integrated community continuum of care program for individuals with serious mental illness.

OBJECTIVE: To evaluate effectiveness of an "Continuum of Care Program" (CCCP) for persons with serious mental health conditions in reducing inpatient use, and building a continuum of integrated care that enhanced employment and residential stability. The program combined components of Assertive Community Treatment with a comprehensive wrap-around program. METHODS: A cohort of 1154 individuals admitted to four outpatient CCCPs between December 2003 and May 31 2004 was identified and followed for 1 year. Outcome measures included clinical functioning level, drug/alcohol use, employment, residential arrangement and inpatient use. Regression was employed to explain changes in outcomes between baseline and follow-up as a function of services. RESULTS: Statistically significant changes were seen over a 1-year period in all outcomes. Housing, employment and mental health improved, whereas inpatient utilization and level of care need increased. Older individuals receiving higher levels of care at baseline and those with higher case management and medical service utilization reported higher inpatient use. Outcomes also varied by provider suggesting the contribution of workforce differences to outcomes. CONCLUSIONS: Although significant, changes in outcomes were small. Outcome effectiveness was mixed and generally unrelated to services. These findings imply that significant changes in outcomes may require several years to obtain.

Implementing an E-prescribing system in outpatient mental health programs.

This study describes the implementation and evaluation of an electronic prescription ordering system and feedback report in three community-based mental health outpatient agencies and the usefulness of the system in improving psychiatrists' prescribing behavior. Using the e-prescribing system as a data collection tool, feedback on evidence based prescribing practices for patients diagnosed with schizophrenia spectrum disorder or major affective disorder was provided to agency directors and prescribers via a monthly report. The results of the project were that e-prescribing tools can be installed at a reasonable cost with a short start up period. Although the feedback intervention did not show a significant reduction in questionable prescribing patterns, we should continue to investigate how to best use HIT to improve safety, reduce costs, and enhance the quality of healthcare. A better understanding of what prescribers find useful and the reasons why they are prescribing non-evidenced based medications is needed if interventions of this type are to be effective. Given the availability of administrative claims data and electronic prescribing technology, considerable potential exists to provide useful information for monitoring and clinical decision making in public mental health systems.

Length of inpatient stay of persons with serious mental illness: effects of hospital and regional characteristics.

OBJECTIVE: This study examined the extent to which hospital and regional characteristics are associated with length of hospitalization among patients with serious mental illness. METHODS: Data from the Pennsylvania Health Care Cost Containment Council and 2006 American Hospital Association data were obtained. The sample consisted of 106 hospitals from which 45,497 adults with serious mental illness were discharged in 2006. Guided by the extended version of Andersen's health care utilization model, hierarchical linear modeling, including patient case mix, hospital, and regional characteristics, was used to explain variations in hospitalization length. RESULTS: The average length of stay was 10.0 ± 3.0 days. Stays were longer at psychiatric hospitals than at general acute care facilities and at hospitals with a greater percentage of Medicare patients and patients with serious mental illness and a higher rate of readmission. In terms of regional characteristics, stays were also longer at hospitals in counties where the county mental health program received a larger percentage of the state's mental health budget and a smaller share of the budget was used for residential care. CONCLUSIONS: Hospital type and case mix, along with the presence of housing resources funded by county mental health programs, were found to be associated with variations in length of hospitalization. Further research of a longitudinal or prospective nature is required to determine whether the availability of housing programs for persons with mental disorders leads to shorter hospital stays for those in crisis and to determine whether longer stays are the result of differences in hospital practices.

Effectiveness of a high end users program for persons with psychiatric disorders.

To evaluate the effectiveness of an intensive system of case management for high end users of inpatient care in reducing psychiatric inpatient utilization. A prepost study design with a contemporaneous comparison group was employed to determine the effects of a State designed intervention to reduce inpatient care for adults with a mental health disorder who had high utilization of inpatient psychiatric care between 2004 and 2007. Logit and negative binomial regression models were used to determine the likelihood, frequency and total days of inpatient utilization in the post period as a function of the intervention. Data from administrative reporting forms and Medicaid claims were used to construct inpatient utilization histories and characteristics of 176 patients. Patients in both groups had a significant reduction in mean inpatient days. However, being in the intervention program did not result in lower odds of being re-hospitalized or in fewer episodes during the study period.

Converting partial hospitals to community integrated recovery centers.

This paper describes the conversion of partial hospitals into recovery-oriented programs as part of system transformation. Steps included: participatory planning with stakeholders; strength based assessment of resources and needs; technical assistance; and changing funding strategies. Over a period of 8 years, use of partial hospitals decreased as persons with serious mental illnesses were transitioned to community integrated recovery centers. Preliminary outcomes suggest that these programs are more effective in engaging people in the community activities of their choice, confirming previous findings that showed that partial hospitals can be converted to recovery-oriented programs that focus more directly on promoting community inclusion.

Antipsychotic treatment among youth in foster care.

OBJECTIVE: Despite national concerns over high rates of antipsychotic medication use among youth in foster care, concomitant antipsychotic use has not been examined. In this study, concomitant antipsychotic use among Medicaid-enrolled youth in foster care was compared with disabled or low-income Medicaid-enrolled youth. PATIENTS AND METHODS: The sample included 16 969 youths younger than 20 years who were continuously enrolled in a Mid-Atlantic state Medicaid program and had ≥1 claim with a psychiatric diagnosis and ≥1 antipsychotic claim in 2003. Antipsychotic treatment was characterized by days of any use and concomitant use with ≥2 overlapping antipsychotics for >30 days. Medicaid program categories were foster care, disabled (Supplemental Security Income), and Temporary Assistance for Needy Families (TANF). Multicategory involvement for youths in foster care was classified as foster care/Supplemental Security Income, foster care/TANF, and foster care/adoption. We used multivariate analyses, adjusting for demographics, psychiatric comorbidities, and other psychotropic use, to assess associations between Medicaid program category and concomitant antipsychotic use. RESULTS: Average antipsychotic use ranged from 222 ± 110 days in foster care to only 135 ± 101 days in TANF (P < .001). Concomitant use for ≥180 days was 19% in foster care only and 24% in foster care/adoption compared with <15% in the other categories. Conduct disorder and antidepressant or mood-stabilizer use was associated with a higher likelihood of concomitant antipsychotic use (P < .0001). CONCLUSIONS: Additional study is needed to assess the clinical rationale, safety, and outcomes of concomitant antipsychotic use and to inform statewide policies for monitoring and oversight of antipsychotic use among youths in the foster care system.