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.

Changes in Antipsychotic Medication Adherence Among Medicaid Beneficiaries with Schizophrenia During COVID-19.

To identify patterns of medication adherence during the pandemic and factors associated with these patterns among Medicaid-enrolled individuals with schizophrenia who had highly adherent medication use prior to the COVID-19 pandemic. We used Medicaid claims from Philadelphia to identify individuals with schizophrenia ≥ 18 years of age, their demographic characteristics, and health service use. We used group trajectory models to identify adherence trends, and ANOVA to examine associations between adherence groups and demographic characteristics and service use. The sample included 1,622 individuals. A 4-group trajectory model best fit our data. Seventy percent of individuals averaged about 92% adherence throughout the study period; 10% experienced a pronounced decline when the pandemic started (pandemic non-adherers); 11% experienced a sharp decline mid-pandemic (late non-adherers); and 9% experienced a sharp decline at the beginning of the pandemic and returned to higher adherence after a year (disrupted adherers). Adherers were least likely to be diagnosed with a substance use disorder, and had more telehealth visits, mental health outpatient visits, and fewer emergency department visits on average. Late non-adherers were more likely than adherers to have substance use disorders and physical health conditions. Pandemic non-adherers had more co-occurring psychiatric disorders than adherers and had the lowest use of case management. Three in ten previously adherent individuals with schizophrenia became less adherent to antipsychotic medications, either at the onset or later in the pandemic. Our findings point to telehealth and case management as critical strategies for treatment engagement, especially during public health crises, and well as the need to address co-occurring conditions.

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.

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.

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.

Community stakeholder preferences for evidence-based practice implementation strategies in behavioral health: a best-worst scaling choice experiment.

BACKGROUND: Community behavioral health clinicians, supervisors, and administrators play an essential role in implementing new psychosocial evidence-based practices (EBP) for patients receiving psychiatric care; however, little is known about these stakeholders' values and preferences for implementation strategies that support EBP use, nor how best to elicit, quantify, or segment their preferences. This study sought to quantify these stakeholders' preferences for implementation strategies and to identify segments of stakeholders with distinct preferences using a rigorous choice experiment method called best-worst scaling. METHODS: A total of 240 clinicians, 74 clinical supervisors, and 29 administrators employed within clinics delivering publicly-funded behavioral health services in a large metropolitan behavioral health system participated in a best-worst scaling choice experiment. Participants evaluated 14 implementation strategies developed through extensive elicitation and pilot work within the target system. Preference weights were generated for each strategy using hierarchical Bayesian estimation. Latent class analysis identified segments of stakeholders with unique preference profiles. RESULTS: On average, stakeholders preferred two strategies significantly more than all others-compensation for use of EBP per session and compensation for preparation time to use the EBP (P < .05); two strategies were preferred significantly less than all others-performance feedback via email and performance feedback via leaderboard (P < .05). However, latent class analysis identified four distinct segments of stakeholders with unique preferences: Segment 1 (n = 121, 35%) strongly preferred financial incentives over all other approaches and included more administrators; Segment 2 (n = 80, 23%) preferred technology-based strategies and was younger, on average; Segment 3 (n = 52, 15%) preferred an improved waiting room to enhance client readiness, strongly disliked any type of clinical consultation, and had the lowest participation in local EBP training initiatives; Segment 4 (n = 90, 26%) strongly preferred clinical consultation strategies and included more clinicians in substance use clinics. CONCLUSIONS: The presence of four heterogeneous subpopulations within this large group of clinicians, supervisors, and administrators suggests optimal implementation may be achieved through targeted strategies derived via elicitation of stakeholder preferences. Best-worst scaling is a feasible and rigorous method for eliciting stakeholders' implementation preferences and identifying subpopulations with unique preferences in behavioral health settings.

Primary Care Appointments for Medicaid Beneficiaries With Advanced Practitioners.

Primary care access in Medicaid improved after the Patient Protection and Affordable Care Act despite millions of new beneficiaries. One possible explanation is that practices are scheduling more appointments with advanced practitioners. To test this theory, we used data from a secret shopper study in which callers simulated new Medicaid patients and requested appointments with 3,742 randomly selected primary care practices in 10 states. Conditional on scheduling an appointment, simulated patients asked whether the practitioner was a physician or advanced practitioner. From 2012 through 2016, the proportion of appointments scheduled with advanced practitioners increased from 7.7% to 12.9% (P <.001) across the 10 states.

Acuity-based Scheduling in Primary Care.

OBJECTIVES: Triage algorithms are ubiquitous in emergency care settings, but the extent of their use in primary care is unknown. This study asks whether primary care practices prioritize patients with more acute service needs. METHODS: We used an audit study in which simulated patients were randomized to 2 clinical scenarios-a new patient seeking a routine check-up or a new patient seeking treatment for newly diagnosed hypertension-and attempted to schedule appointments with thousands of randomly selected primary care physicians across 10 states. We estimated the difference in appointment availability by clinical scenario. For scheduled appointments, we also estimated the difference in wait times by clinical scenario. RESULTS: While there was no difference in appointment availability, the mean wait time for simulated patients seeking a routine check-up was nearly 5 days longer than the mean wait time for simulated patients with hypertension. CONCLUSIONS: As demand for primary care increases while the supply remains stable, it will be important for practices to identify and prioritize patients with more acute service needs. Our results show that primary care physicians are already adopting such practices.

The Differential Effects of Insurance Mandates on Health Care Spending for Children's Autism Spectrum Disorder.

OBJECTIVES: There is substantial variation in treatment intensity among children with autism spectrum disorder (ASD). This study asks whether policies that target health care utilization for ASD affect children differentially based on this variation. Specifically, we examine the impact of state-level insurance mandates that require commercial insurers to cover certain treatments for ASD for any fully-insured plan. METHODS: Using insurance claims between 2008 and 2012 from three national insurers, we used a difference-in-differences approach to compare children with ASD who were subject to mandates to children with ASD who were not. To allow for differential effects, we estimated quantile regressions that evaluate the impact of mandates across the spending distributions of three outcomes: (1) monthly spending on ASD-specific outpatient services; (2) monthly spending on ASD-specific inpatient services; and (3) quarterly spending on psychotropic medications. RESULTS: The change in spending on ASD-specific outpatient services attributable to mandates varied based on the child's level of spending. For those children with ASD who were subject to the mandate, monthly spending for a child in the 95th percentile of the ASD-specific outpatient spending distribution increased by $1460 (P<0.001). In contrast, the effect was only $2 per month for a child in the fifth percentile (P<0.001). Mandates did not significantly affect spending on ASD-specific inpatient services or psychotropic medications. CONCLUSIONS: State-level insurance mandates have larger effects for those children with higher levels of spending. To the extent that spending approximates treatment intensity and the underlying severity of ASD, these results suggest that mandates target children with greater service needs.

Primary Care Appointment Availability and the ACA Insurance Expansions.

In the current debate in Congress over the Affordable Care Act (ACA), the issue of provider access is a major concern. Fortunately, our 10-state audit study published in JAMA Internal Medicine finds that primary care appointment availability for new patients with Medicaid increased 5.4 percentage points between 2012 and 2016 and remained stable for patients with private coverage. Over the same period, both Medicaid patients and the privately insured experienced a one-day increase in median wait times. Higher appointment availability for Medicaid patients is a surprising result given the increase in demand for care from millions of new Medicaid enrollees. In this Issue Brief, we summarize our study's findings, expand on possible explanations, and extend the analysis by examining the relationship between appointment availability and state-level Medicaid expansions. We find that access to primary care increased for Medicaid patients only in states that extended Medicaid eligibility to low-income, nonelderly adults. Combined, these results suggest coverage provisions in the ACA have not overwhelmed primary care capacity.

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.

Utilization of Reimbursed Acupuncture Therapy for Low Back Pain.

Importance: Treating low back pain (LBP) often involves a combination of pharmacologic, nonpharmacologic, and interventional treatments; one approach is acupuncture therapy, which is safe, effective, and cost-effective. How acupuncture is used within pain care regimens for LBP has not been widely studied. Objective: To document trends in reimbursed acupuncture between 2010 and 2019 among a large sample of patients with LBP, focusing on demographic, socioeconomic, and clinical characteristics associated with acupuncture use and the nonpharmacologic, pharmacologic, and interventional treatments used by patients who utilize acupuncture. Design, Setting, and Participants: This cross-sectional study included insurance claims of US adults in a deidentified database. The study sample included patients diagnosed with LBP between 2010 and 2019. Data were analyzed between September 2023 and June 2024. Main Outcomes and Measures: Changes in rates of reimbursed acupuncture utilization between 2010 and 2019, including electroacupuncture use, which involves the electrical stimulation of acupuncture needles. Covariates included age, sex, race and ethnicity, income, educational attainment, region, and a chronic LBP indicator. Secondary analyses tracked other nonpharmacologic treatments (eg, physical therapy, chiropractic care), pharmacologic treatments (eg, opioids, gabapentinoids), and interventional treatments (eg, epidural steroid injections). Results: The total sample included 6 840 497 adults with LBP (mean [SD] age, 54.6 [17.8] years; 3 916 766 female [57.3%]; 802 579 Hispanic [11.7%], 258 087 non-Hispanic Asian [3.8%], 804 975 non-Hispanic Black [11.8%], 4 974 856 non-Hispanic White [72.7%]). Overall, 106 485 (1.6%) had 1 or more acupuncture claim, while 61 503 (0.9%) had 1 or more electroacupuncture claim. The rate of acupuncture utilization increased consistently, from 0.9% in 2010 to 1.6% in 2019; electroacupuncture rates were relatively stable. Patients who were female (male: odds ratio [OR], 0.68; 99% CI, 0.67-0.70), Asian (OR, 3.26; 99% CI, 3.18-3.35), residing in the Pacific region (New England: OR, 0.26; 99% CI, 0.25-0.28), earning incomes of over $100 000 (incomes less than $40 000: OR, 0.59; 99% CI, 0.57-0.61), college educated (high school or less: OR, 0.32; 99% CI, 0.27-0.35), and with chronic LBP (OR, 2.39; 99% CI, 2.35-2.43) were more likely to utilize acupuncture. Acupuncture users were more likely to engage in other nonpharmacologic pain care like physical therapy (39.2%; 99% CI, 38.9%-39.5% vs 29.3%; 99% CI, 29.3%-29.3%) and less likely to utilize prescription drugs, including opioids (41.4%; 99% CI, 41.1%-41.8% vs 52.5%; 99% CI, 52.4%-52.5%), compared with nonusers. Conclusions and Relevance: In this cross-sectional study, we found that acupuncture utilization among patients with LBP was rare but increased over time. Demographic, socioeconomic, and clinical characteristics were associated with acupuncture utilization, and acupuncture users were more likely to utilize other nonpharmacologic treatments and less likely to utilize pharmacologic treatments.

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.

Engaging primary care patients at risk for suicide in mental health treatment: user insights to inform implementation strategy design.

BACKGROUND: Given that the majority of suicide decedents visit primary care in the year preceding death, primary care has been identified as a key setting in which to engage patients at risk for suicide in mental health services. The objective of this research was to identify barriers and facilitators to engagement in mental health services among primary care patients at risk for suicide to inform the development of strategies to increase engagement. METHODS: Seventy-four semi-structured qualitative interviews were conducted with primary care patients (n = 20), primary care (n = 18) and behavioral health (n = 12) clinicians, mental health intake coordinators (n = 4), and health system and clinic leaders (n = 20). Patients who had been referred for mental health services from primary care and reported an elevated score (≥ 1) on item 9 on the Patient Health Questionnaire at the time of referral were eligible to participate. Eligible clinicians and leaders were employed in a primary care or behavioral health setting in a single large health system with an integrated mental health program. Interviews typically lasted 30-60 min, were completed over video conference or phone, and were coded by members of the research team using a rapid qualitative analysis procedure. RESULTS: Participants were primarily female (64.9%), white (70.3%) and non-Hispanic/Latine (91.9%). The most identified barriers to mental health care engagement were waitlists, capacity limits, insurance, patient characteristics, communication, collaboration, and/or difficulties surrounding travel. The most commonly cited facilitators of engagement included telehealth, integrated care models, reminders, case management support, psychoeducation, motivational enhancement, and scheduling flexibility. Concrete suggestions for improving engagement in mental health services included increasing communication between providers, streamlining referral and intake processes, providing reminders and follow ups, and advocacy for increased reimbursement for suicide risk assessment. CONCLUSIONS: Results underscore the myriad barriers patients at risk for suicide encounter when attempting to engage in mental health care in a primary care setting. Facilitators of engagement and suggestions for improving connections to care were also identified, which can inform the design of implementation strategies to improve engagement in mental health services among primary care patients at risk for suicide. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT05021224 (Registered August 19, 2021).

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.

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.

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.

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.