Change in suicidal ideation, depression, and anxiety following collaborative care in the community.

BACKGROUND: The Collaborative Care Model (CoCM) increases access to mental health treatment and improves outcomes among patients with mild to moderate psychopathology; however, it is unclear how effective CoCM is for patients with elevated suicide risk. METHODS: We examined data from the Penn Integrated Care program, a CoCM program including an intake and referral management center plus traditional CoCM services implemented in primary care clinics within a large, diverse academic medical system. In this community setting, we examined: (1) characteristics of patients with and without suicidal ideation who initiated CoCM, (2) changes in suicidal ideation (Patient Health Questionnaire-9 [PHQ-9] item 9), depression (PHQ-9 total scores), and anxiety (Generalized Anxiety Disorder Scale-7 scores) from the first to last CoCM visit overall and across demographic subgroups, and (3) the relationship between amount of CoCM services provided and degree of symptom reduction. RESULTS: From 2018 to 2022, 3,487 patients were referred to CoCM, initiated treatment for at least 15 days, and had completed symptom measures at the first and last visit. Patients were 74% female, 45% Black/African American, and 45% White. The percentage of patients reporting suicidal ideation declined 11%-7% from the first to last visit. Suicidal ideation severity typically improved, and very rarely worsened, during CoCM. Depression and anxiety declined significantly among patients with and without suicidal ideation and across demographic subgroups; however, the magnitude of these declines differed across race, ethnicity, and age. Patients with suicidal ideation at the start of CoCM had higher depression scores than patients without suicidal ideation at the start and end of treatment. Longer CoCM episodes were associated with greater reductions in depression severity. CONCLUSIONS: Suicidal ideation, depression, and anxiety declined following CoCM among individuals with suicidal ideation in a community setting. Findings are consistent with emerging evidence from clinical trials suggesting CoCM's potential for increasing access to mental healthcare and improving outcomes among patients at risk for suicide.

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.

Treating individuals with suicidal ideation in primary care: Patient-level characteristics associated with follow-up in the Collaborative Care Model.

INTRODUCTION: The Collaborative Care Model (CoCM) is an evidence-based approach which embeds behavioral health providers (BHPs) into primary care. Whether patients with suicidal ideation (SI) are willing to engage in CoCM is unclear. METHODS: Using Patient Health Questionnaire-9 (PHQ-9) administrative data from primary care practices within an urban academic health system, we identified patients with and without SI who were referred to a CoCM BHP. We compared engagement, defined as attendance at ≥1 CoCM visit, across groups. RESULTS: Between 2018 and 2022, 7391 primary care patients were referred to a CoCM BHP. Eight hundred and ninety-two of these patients reported SI on the PHQ-9 (754 on "several days" during the previous 2 weeks and 138 on "more than half or most days"). Across groups, most patients engaged in CoCM. Patients reporting SI on several days engaged at a lower rate (61.4%) than those reporting SI on more than half or most days (65.9%). Both SI groups engaged at a lower rate than the 6499 patients who did not report SI (67.5%). CONCLUSION: Most patients referred to a CoCM BHP engaged in ≥1 visit. Rates were lower for patients with SI, with the lowest rate among those reporting SI on several days.

Characteristics, disposition, and outcomes of children hospitalized for mental health boarding at a children's hospital.

Increasingly, youth experiencing mental health crises present to acute care medical hospitals and "board" on medical units due to inpatient psychiatric bed shortages. We conducted a retrospective cohort study of children experiencing mental health boarding at a US children's hospital from October 2020 to September 2022. We examined associations between patients' characteristics and their disposition and outcomes. Our cohort included 1891 boarding hospitalizations: 53.9% transferred to an inpatient psychiatric hospital and 46.1% discharged home. Characteristics associated with not being transferred to an inpatient psychiatric hospital included age <13 years (adjusted odds ratio [aOR] 0.6; 95% confidence interval [CI]: 0.4-0.7), disruptive or aggressive behavior (aOR 0.6; 95% CI: 0.4-0.8), psychosis (aOR 0.5; 95% CI: 0.3-0.8), COVID-19 infection (aOR 0.3; 95% CI: 0.2-0.6), or a complex chronic medical condition (aOR 0.8; 95% CI: 0.6-1.0). Our findings suggest that certain populations of children experiencing mental health boarding face disparate access to inpatient psychiatric care.

Building an Integrated Data Infrastructure to Examine the Spectrum of Suicide Risk Factors in Philadelphia Medicaid.

While there are many data-driven approaches to identifying individuals at risk of suicide, they tend to focus on clinical risk factors, such as previous psychiatric hospitalizations, and rarely include risk factors that occur in nonclinical settings, such as jails or emergency shelters. A better understanding of system-level encounters by individuals at risk of suicide could help inform suicide prevention efforts. In Philadelphia, we built a community-level data infrastructure that encompassed suicide death records, behavioral health claims, incarceration episodes, emergency housing episodes, and involuntary commitment petitions to examine a broader spectrum of suicide risk factors. Here, we describe the development of the data infrastructure, present key trends in suicide deaths in Philadelphia, and, for the Medicaid-eligible population, determine whether suicide decedents were more likely to interact with the behavioral health, carceral, and housing service systems compared to Medicaid-eligible Philadelphians who did not die by suicide. Between 2003 and 2018, there was an increase in the number of annual suicide deaths among Medicaid-eligible individuals, in part due to changes in Medicaid eligibility. There were disproportionately more suicide deaths among Black and Hispanic individuals who were Medicaid-eligible, who were younger on average, compared to suicide decedents who were never Medicaid-eligible. However, when we accounted for the racial and ethnic composition of the Medicaid population at large, we found that White individuals were four times as likely to die by suicide, while Asian, Black, Hispanic, and individuals of other races were less likely to die by suicide. Overall, 58% of individuals who were Medicaid-eligible and died by suicide had at least one Medicaid-funded behavioral health claim, 10% had at least one emergency housing episode, 25% had at least one incarceration episode, and 22% had at least one involuntary commitment. By developing a data infrastructure that can incorporate a broader spectrum of risk factors for suicide, we demonstrate how communities can harness administrative data to inform suicide prevention efforts. Our findings point to the need for suicide prevention in nonclinical settings such as jails and emergency shelters, and demonstrate important trends in suicide deaths in the Medicaid population.

Evaluation of a behavioural intervention to reduce perioperative midazolam administration to older adults.

Background: Older patients commonly receive benzodiazepines during anaesthesia despite guidelines recommending avoidance. Interventions to reduce perioperative benzodiazepine use are not well studied. We hypothesized an automated electronic medical record alert targeting anaesthesia providers would reduce administration of benzodiazepines to older adults undergoing general anaesthesia. Methods: We conducted a retrospective study of adults who underwent surgery at 5 hospitals within one US academic health system. One of the hospitals received an intervention consisting of provider education and an automated electronic medical record alert discouraging benzodiazepine administration to patients aged 70 years or older. We used difference-in-differences analysis to compare patterns of midazolam use 12-months before and after intervention at the intervention hospital, using the 4 non-intervention hospitals as contemporaneous comparators. Results: The primary analysis sample included 20,347 cases among patients aged 70 and older. At the intervention hospital, midazolam was administered in 454/4,240 (10.7%) cases pre-alert versus 250/3,750 (6.7%) post-alert (p<0.001). At comparator hospitals, respective rates were 3,186/6,366 (50.0%) versus 2,935/5,991 (49.0%) (p=0.24). After adjustment, the intervention was associated with a 3.2 percentage point (p.p.) reduction in the percentage of cases with midazolam administration (95% CI: (-5.2, -1.1); p=0.002). Midazolam dose was unaffected (adjusted mean difference -0.01 mg, 95% CI: (-0.20, 0.18); p=0.90). In 76,735 cases among patients aged 18-69, the percentage of cases with midazolam administration decreased by 6.9 p. p. (95% CI: (-8.0, -5.7); p<0.001). Conclusion: Provider-facing alerts in the intraoperative electronic medical record, coupled with education, can reduce midazolam administration to older patients presenting for surgery but may affect care of younger patients.

The Relationship Between Scope of Practice Laws for Task Delegation and Nurse Turnover in Home Health.

OBJECTIVE: Nurse turnover can compromise the quality and continuity of home health care. Scope of practice laws, which determine the tasks nurses are allowed to perform and delegate, are an important element of autonomy and vary across states. In this study, we used human resource records from a multistate home health organization to examine the relationship between nurse turnover and whether nurses can delegate tasks to unlicensed aides. DESIGN: A retrospective, cross-sectional analysis. SETTING AND PARTICIPANTS: The study sample included 1820 licensed practical nurses and 3309 registered nurses, who spanned 30 states. The study period was 2016 through 2018. METHODS: We used weighted least squares to study the relationship between nurse turnover for registered and licensed practical nurses and task delegation across state-years. We measured task delegation continuously (0-16 tasks) and as a binary variable (14 or more tasks, which indicated the state was in the top half of the distribution). RESULTS: Across state-years, the turnover rate was 30.8% for licensed practical nurses and 36.8% for registered nurses. Although there was no significant relationship between task delegation and turnover among registered nurses, we found that states in which nurses could delegate the most tasks had lower turnover rates among licensed practical nurses. CONCLUSION AND IMPLICATIONS: The ability to delegate tasks to unlicensed aides was correlated with lower turnover rates among licensed practical nurses, but not among registered nurses. This suggests that the ability to delegate tasks is more likely to affect the workload of licensed practical nurses. This also points to a potential and unexplored element of expanding the scope of practice for nurses: reduced turnover. Given the added work-related hazards associated with home health care, including working in isolation, a lack of social recognition, and inadequate reimbursement, states should consider whether changes in their policy environment could benefit nurses working in home health.

On resource allocation in health care: The case of concierge medicine.

Resource allocation generally involves a tension between efficiency and equity, particularly in health care. The growth in exclusive physician arrangements using non-linear prices is leading to consumer segmentation with theoretically ambiguous welfare implications. We study concierge medicine, in which physicians only provide care to patients paying a retainer fee. We find limited evidence of selection based on health and stronger evidence of selection based on income. Using a matching strategy that leverages the staggered adoption of concierge medicine, we find large spending increases and no average mortality effects for patients impacted by the switch to concierge medicine.

Large and small financial incentives may motivate COVID-19 vaccination: A randomized, controlled survey experiment.

INTRODUCTION: Experts continue to debate how to increase COVID-19 vaccination rates. Some experts advocate for financial incentives. Others argue that financial incentives, especially large ones, will have counterproductive psychological effects, reducing the percent of people who want to vaccinate. Among a racially and ethnically diverse U.S. sample of lower income adults, for whom vaccine uptake has lagged compared with higher income adults, we empirically examine such claims about relatively large and small guaranteed cash payments. METHODS: In 2021, we conducted a randomized, controlled experiment among U.S. residents with incomes below $80,000 who reported being unvaccinated against COVID-19. Study participants were randomized to one of four study arms. In two arms, respondents first learned about a policy proposal to pay $1,000 or $200 to those who received COVID-19 vaccination and were then asked if, given that policy, they would want to vaccinate. In the two other arms, respondents received either an educational message about this vaccine or received no vaccine information and were then asked if they wanted to vaccinate for COVID-19. The primary analyses estimated and compared the overall percentage in each study arm that reported wanting to vaccinate for COVID-19. In other analyses, we estimated and compared these percentages for subgroups of interest, including gender, race/ethnicity, and education. MAIN RESULTS: Among 2,290 unvaccinated adults, 79.7% (95%CI, 76.4-83.0%) of those who learned about the proposed $1,000 payment wanted to get vaccinated, compared with 58.9% (95%CI, 54.8-63.0%) in the control condition without vaccine information, a difference of 20 percentage points. Among those who learned of the proposed $200 payment, 74.8% (95% CI, 71.3-78.4%) wanted to vaccinate. Among those who learned only about the safety and efficacy of COVID-19 vaccines, 68.9% (95% CI, 65.1-72.7%) wanted to vaccinate. Findings were consistent across various subgroups. DISCUSSION: Despite several study limitations, the results do not support concerns that the financial incentive policies aimed to increase COVID-19 vaccination would have counterproductive effects. Instead, those who learned about a policy with a large or small financial incentive were more likely than those in the control condition to report that they would want to vaccinate. The positive effects extended to subgroups that have been less likely to vaccinate, including younger adults, those with less education, and racial and ethnic minorities. Financial incentives of $1,000 performed similarly to those offering only $200.

Nursing turnover in a large, rural health system.

PURPOSE: Nursing turnover is a leading cause of inefficiency in health care delivery. Few studies have examined turnover among nurses who work in rural areas. METHODS: We accessed human resources data that tracked hiring and terminations from a large health system operating in South Dakota, North Dakota, and Minnesota between January 2016 and December 2017. Our study sample included 7,634 registered nurses, 1,765 of whom worked in a rural community. Within the health system, there were 27 affiliated hospitals, 17 of which were designated critical access hospitals. We estimated nursing turnover rates overall and stratified turnover rates by available demographic and occupational characteristics, including whether the nurse worked in a community with an affiliated acute care hospital or critical access hospital. FINDINGS: Overall, 19% of nurses left their position between January 2016 and December 2017. Turnover rates were associated with state, nurse gender and age, and occupational tenure, but were similar in urban and rural areas. Of note, turnover rates were significantly higher in communities without an affiliated acute care hospital or critical access hospital. CONCLUSION: Between 2016 and 2017, nearly 1 in 5 nurses working in this health system left their position. Turnover rates differed based on nurse demographics and selected occupational characteristics, including tenure. We also found higher turnover rates among nurses who worked in communities without an affiliated hospital, which points to a potential but unexplored benefit of hospitals in rural areas.

Antiepileptic prescribing to persons living with dementia residing in nursing homes: A tale of two indications.

BACKGROUND: Antiepileptics are commonly prescribed to nursing home residents with Alzheimer's disease and related dementias (ADRD) but there is little scientific support for their use in this population. It is unclear whether different antiepileptics are targeting different indications. METHODS: Using the Minimum Data Set and Medicare data, including Part D pharmacy claims, we constructed annual cohorts of residents with ADRD with long-term stays in nursing homes from 2015 to 2019. For each year, we measured the proportion of residents with ADRD in nursing homes nationwide with at least one antiepileptic prescription. We also measured trends in valproic acid, gabapentin, antipsychotic, and opioid prescribing. Finally, we examined how prescribing rates differed based on whether residents with ADRD had disruptive behaviors or reported pain. RESULTS: Our study sample includes 973,074 persons living with ADRD who had a long-term stay in a nursing home, which was defined as at least 3 months. The proportion of residents with ADRD with at least one antiepileptic prescription increased from 29.5% in 2015 to 31.3% in 2019, which was driven by increases in the rate of valproic acid and gabapentin prescribing. Conversely, antipsychotic prescribing rates declined from 32.1% to 27.9% and opioid prescribing rates declined from 39.8% to 31.7%. The risk of valproic acid prescribing was 10.9 percentage points higher among residents with ADRD with disruptive behaviors, while the risk of being prescribed gabapentin was 13.9 percentage points higher among residents with ADRD reporting pain. CONCLUSIONS: Antiepileptic prescribing among nursing home residents with ADRD is increasing, while antipsychotic and opioid prescribing is declining. Examining antiepileptic prescribing to residents with ADRD who had disruptive behaviors and/or reported pain suggests that two of the most common antiepileptics, valproic acid and gabapentin, are being used in clinically distinct ways. Antiepileptic prescribing of questionable risk-benefit for dementia care warrants further scrutiny.

Food Insufficiency Following Discontinuation of Monthly Child Tax Credit Payments Among Lower-Income US Households.

Importance: The 2021 expanded Child Tax Credit provided advance monthly payments to many US families with children from July through December 2021 and was associated with a reduction in food insufficiency. Less is known about the effect of the discontinuation of monthly payments. Objective: To assess whether the discontinuation of monthly Child Tax Credit payments was associated with subsequent changes in food insufficiency among lower-income US households with children. Design, Setting, and Participants: This population-based cross-sectional study used data from the Household Pulse Survey, a recurring online survey of US households conducted by the US Census Bureau, from January 2021 to March 2022. This study estimated difference-in-differences regression models for households making less than $50 000, less than $35 000, and less than $25 000 annually, adjusting for demographic characteristics and state of residence. The estimation sample of households making less than $50 000/y included 114 705 responses, representing a weighted population size of 27 342 296 households. Exposures: Receipt of monthly Child Tax Credit payments, as measured by living in a household with children during the period of monthly payments from July through December 2021. Main Outcomes and Measures: Household food insufficiency, as measured by a respondent indicating that there was sometimes or often not enough food to eat in the household in the previous 7 days. Results: Among 114 705 households making less than $50 000/y, respondents were predominantly female (57%); White (71%); not of Hispanic, Latino, or Spanish origin (79%); had high school or equivalent education (38%); and were unmarried (70%). Following the discontinuation of monthly Child Tax Credit payments, food insufficiency in US households with children increased by 3.5 percentage points (95% CI, 1.4-5.7 percentage points) among households making less than $50 000/y, 4.9 percentage points (95% CI, 2.6-7.3 percentage points) among households making less than $35 000/y, and 6.2 percentage points (95% CI, 3.3-9.3 percentage points) among households making less than $25 000/y. These estimates represent a relative increase in food insufficiency of approximately 16.7% among households making less than $50 000/y, 20.8% among households making less than $35 000/y, and 23.2% among households making less than $25 000/y. Conclusions and Relevance: In this population-based cross-sectional study, discontinuation of monthly Child Tax Credit payments in December 2021 was associated with a statistically significant increase in household food insufficiency among lower-income households, with the greatest increase occurring in the lowest-income households.

Linking a Survey of Clinician Benzodiazepine-Related Beliefs to Risk of Benzodiazepine Prescription Fills Among Patients in Medicare.

In this pilot study, we used a Medicare sample to identify primary care clinicians who prescribed a benzodiazepine (BZD) in 2017 and surveyed a random sample (n = 100) about BZD prescribing. Among 61 respondents, 11.5% (SD 5.9) of their patient panels filled a BZD prescription. Patients of primary care clinicians who agreed that potential harms to long-term BZD users were low had a greater BZD fill risk relative to patients of disagreeing primary care clinicians (adjusted risk ratio 1.31; 95% CI, 1.01-1.7). We highlight the potential of using Medicare claims to sample clinicians. Using claims-based objective measures presents a new method to inform the development of behavior-change interventions.

Leveraging behavioral economics and implementation science to engage patients at risk for suicide in mental health treatment: a pilot study protocol.

BACKGROUND: Primary care is an ideal setting to connect individuals at risk for suicide to follow-up care; however, only half of the patients referred from the primary care attend an initial mental health visit. We aim to develop acceptable, feasible, low-cost, and effective new strategies to increase treatment initiation among at-risk individuals identified in primary care. METHODS: We will conduct a multi-phase, mixed-methods study. First, we will conduct a chart review study by using administrative data, including medical records, to identify characteristics of primary care patients at risk for suicide who do or do not attend an initial mental health visit following a referral. Second, we will conduct a mixed methods study by using direct observations and qualitative interviews with key stakeholders (N = 65) to understand barriers and facilitators to mental health service initiation among at-risk individuals. Stakeholders will include patients with suicidal ideation referred from primary care who do and do not attend a first mental health visit, primary care and behavioral health providers, and individuals involved in the referral process. We also will collect preliminary self-report and behavioral data regarding potential mechanisms of behavior change (i.e., self-regulation and social support) from patients. Third, we will leverage these findings, relevant frameworks, and the extant literature to conduct a multi-arm, non-randomized feasibility trial. During this trial, we will rapidly prototype and test strategies to support attendance at initial mental health visits. Strategies will be developed with subject matter experts (N = 10) and iteratively pilot tested (~5 patients per strategy) and refined. Research will be completed in the Penn Integrated Care Program (PIC), which includes fourteen primary care clinics in Philadelphia that provide infrastructure for electronic referrals, patient communication, and data access. DISCUSSION: We will leverage frameworks and methods from behavioral economics and implementation science to develop strategies to increase mental health treatment initiation among individuals at risk for suicide identified in primary care. This project will lead to an evaluation of these strategies in a fully powered randomized trial and contribute to improvements in access to and engagement in mental health services for individuals at risk for suicide. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT05021224.

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.

Nursing Home Characteristics Associated with High and Low Levels of Antipsychotic, Benzodiazepine, and Opioid Prescribing to Residents with Alzheimer's Disease and Related Dementias: A Cross-Sectional Analysis.

OBJECTIVES: We examined the association between nursing home (NH) characteristics and whether NHs had high or low levels of antipsychotic, benzodiazepine, or opioid prescribing to residents with Alzheimer's disease and related dementias (ADRD). We then measured the likelihood that NHs who were high (low) prescribers of antipsychotics were also high (low) prescribers of benzodiazepines or opioids. DESIGN: A retrospective, cross-sectional analysis. SETTING AND PARTICIPANTS: The sample included 448,128 Medicare beneficiaries diagnosed with ADRD, who resided in 13,151 NHs in 2017. METHODS: Using Medicare claims, the Minimum Data Set, and LTCFocus, we measured the share of NH residents with ADRD who filled ≥1 antipsychotic, benzodiazepine, or opioid prescription in 2017. Using linear probability models with state-clustered SEs, we identified which NH characteristics were associated with being in the top (bottom) quartile of the prescribing distribution for each drug class. Finally, we measured whether NHs who were top-quartile (bottom-quartile) antipsychotic prescribers were more likely to be top-quartile (bottom-quartile) benzodiazepine or opioid prescribers. RESULTS: Across NHs, an average of 29.1% of residents with ADRD received an antipsychotic, 30.2% received a benzodiazepine, and 40.9% received an opioid. Smaller NHs and NHs with a larger share of Medicaid-enrolled residents were more likely to be top-quartile prescribers; NHs with more registered nursing care were more likely to be bottom-quartile prescribers. Antipsychotic prescribing tracked closely with benzodiazepine prescribing, but not opioid prescribing. CONCLUSIONS AND IMPLICATIONS: The overlap between antipsychotic and benzodiazepine prescribing and our finding that some NH characteristics were consistently associated with prescribing across drug classes may support the idea of an organizational culture of prescribing in NHs, which could inform efforts to improve prescribing quality in NHs. Our results also highlight benzodiazepine and opioid use for ADRD, which were more commonly prescribed than antipsychotics in NHs but have received less regulatory attention.

Price Transparency for Primary Care Office Visits and Routine Tests: Results From a 2016 Audit Study.

Introduction: Price transparency is a central component of the shift from volume to value in healthcare delivery. Price transparency in primary care, the most common point of contact with the healthcare system for patients in the U.S., has not been widely studied.Methods: Using an audit study across 10 states in 2016, we examined the characteristics of primary care practices that were able to provide price information for office visits and routine tests.Results: Most primary care practices were able to disclose some price information for office visits and routine tests. Results indicate that larger, integrated primary care practices in urban areas and in areas with a higher percentage of minority residents were less likely to provide prices than smaller, standalone practices.Conclusion: These findings suggest that future efforts to increase price transparency in primary care should be tailored to practice characteristics, including practice location and whether the practice is embedded in an integrated health system.

Variation in Stakeholder Preferences for Implementing Evidence-Based Practices in Behavioral Health Care.

Objective: The authors examined whether stakeholders in behavioral health care differ in their preferences for strategies that support the implementation of evidence-based practices (EBPs). Methods: Using data collected in March and April 2019 in a survey of stakeholders in Philadelphia Medicaid's behavioral health care system, the authors compared empirical Bayes preference weights for implementation strategies across clinicians, supervisors, agency executives, and payers. Results: Preferences for implementation strategies overlapped among the stakeholders (N=357 survey respondents). Financial incentives were consistently ranked as most useful and performance feedback as the least useful for implementing EBPs. However, areas of divergence were identified. For example, payers preferred compensation for EBP delivery, whereas clinicians considered compensation for time spent on preparing for EBPs as equally useful. Conclusions: The observed variation in stakeholder preferences for strategies to implement EBPs may shed light on why the ongoing shift from volume to value in behavioral health care has had mixed results.