Suicide prevention for substance using youth experiencing homelessness: study protocol for a randomized controlled trial.

BACKGROUND: While research on substance using youth experiencing homelessness (YEH) is increasing, there is a dearth of information regarding effective prevention interventions for these youth. Suicide is the leading cause of death among YEH and most youth do not access services that may be available to them. Therefore, this study seeks to address this gap in the research literature with the goal to identify an effective suicide prevention intervention that can be readily adopted by communities that serve these youth. METHODS: Three hundred (N = 300) YEH with recent substance use and suicidal ideation or a recent suicide attempt will be recruited from the streets as well as a drop-in center serving YEH. After the baseline assessment, all youth will be randomly assigned to Cognitive Therapy for Suicide Prevention (CTSP) + Services as Usual (SAU) (N = 150) or to SAU alone (N = 150). SAU includes outreach, advocacy, and service linkage whereas YEH who receive CTSP will also receive ten CTSP sessions and an optional nine booster sessions. Follow-up assessments will be conducted at 3, 6, 9, and 12 months post-baseline. Theoretically derived mediators (e.g., cognitive distortions) will be tested to shed light on mechanisms associated with change, and the moderating effects of sex, race, sexual orientation, and baseline service connection will be examined. In order to ease future dissemination of the intervention to agencies serving YEH, we will rigorously assess acceptability, feasibility, fidelity, and cost associated with the delivery of our intervention approach using a mixed-methods approach. DISCUSSION: This study adds to a very small number of clinical trials seeking to prevent lethal suicide among a very high-risk group by addressing suicidal ideation directly rather than underlying conditions. It is hypothesized that youth receiving CTSP + SAU will show greater reductions in suicidal ideation (primary outcome), substance use, and depressive symptoms (secondary outcomes) over time compared to SAU alone, as well as improved risk and protective factors. TRIAL REGISTRATION: NCT05994612. Date of Registration: August 16, 2023.

Rural-urban differences in social and emotional protective factors and their association with child health and flourishing.

BACKGROUND: Children in rural communities experience higher mortality rates and less access to health care services than those in urban communities. Protective factors like social support also vary by geography, but their contribution to differences in child health is understudied. Understanding geographic variation in protective health factors could provide insight into their impact on health and guide future intervention strategies. RESEARCH OBJECTIVE: To examine protective factors' association with child flourishing and child health status in rural and urban communities. METHODS: Publicly available data from the National Survey of Children's Health, 2018-2021, with nonmissing geographic data (N = 150,493) were used to assess the relationship between protective factors and child flourishing and health by rurality. Multivariate survey-weighted probit models examined these relationships, adjusting for child and caregiver characteristics. FINDINGS: More than a third of children were not flourishing, according to parental report. An estimated 62% of rural children were flourishing compared to 66% of urban children (P<0.001). Urban caregivers also were more likely to report better adult mental and physical health status. Nevertheless, rural children were reported to receive more social support than urban children, while their caregivers reported more emotional support and living in supportive and safe neighborhoods (P<0.001). Rural caregivers reported more support from places of worship and less from counselors/other mental health care providers than urban caregivers. CONCLUSIONS: Despite higher reported caregiver emotional support and child social support, fewer rural children are flourishing. Health systems and community organizations able to leverage these existing social and emotional protective factors in rural communities could help close this gap.

Healthcare Use Among Black and White Congenital Heart Disease Medicaid Enrollees.

Congenital heart disease (CHD) is the most common birth anomaly in the US. Research shows lost-to-follow-up trends and racial disparities in healthcare use. This study examines racial differences in healthcare use among Medicaid-covered children with CHD. Using 2010-2019 claims data from a pediatric Medicaid Accountable Care Organization, 960 Black and White children with complex CHD and ≥ 3 years of continuous Medicaid coverage were identified. Three cohorts were constructed (starting age: < 1-year-olds, 1-5-year-olds, 6-15-year-olds) and followed for 3 years. Multivariate analysis assessed annual healthcare use (cardiology, primary care, emergency department) by race, adjusting for patient and provider covariates. Overall, 51% of patients had an annual cardiology visit, and 54% had an annual primary care visit. Among the 1-5-year-old cohort, Black children were predicted to be 13% less likely to have an annual cardiology visit compared to their White counterparts (p = 0.001). Older Black children were predicted to be more likely to have a primary care visit compared to their White counterparts. Nearly half of Medicaid-enrolled children with complex CHD did not receive recommended cardiology care. Young Black children were less likely to receive an annual cardiac visit, while older Black children were more likely to receive primary care. While the percentage with an annual cardiac visit was low, the majority had seen a cardiologist within the 3-year window, suggesting these children are still receiving cardiology care, if less frequently than recommended. Opportunities exist for cardiology and primary care to collaborate to ensure patients receive timely recommended care.

Trends in Office-Based Anxiety Treatment Among US Children, Youth, and Young Adults: 2006-2018.

BACKGROUND AND OBJECTIVES: Anxiety disorder diagnoses in office-based settings increased for children through the mid-2010s, but recent changes in diagnosis and treatment are not well understood. The objectives of the current study were to evaluate recent trends in anxiety disorder diagnosis and treatment among children, adolescents, and young adults. METHODS: This study used serial cross-sectional data from the National Ambulatory Medical Care Survey (2006-2018), a nationally representative annual survey of US office-based visits. Changes in anxiety disorder diagnosis and 4 treatment categories (therapy alone, therapy and medications, medications alone, or neither) are described across 3 periods (2006-2009, 2010-2013, 2014-2018). Multinomial logistic regression compared differences in treatment categories, adjusting for age group, sex, and race/ethnicity, contrasting the last and middle periods with the first. RESULTS: The overall proportion of office visits with an anxiety disorder diagnosis significantly increased from 1.4% (95% confidence interval [CI] 1.2-1.7; n = 9 246 921 visits) in 2006 to 2009 to 4.2% (95% CI 3.4-5.2; n = 23 120 958 visits) in 2014 to 2018. The proportion of visits with any therapy decreased from 48.8% (95% CI 40.1-57.6) to 32.6% (95% CI 24.5-41.8), but there was no significant change in the overall use of medications. The likelihood of receiving medication alone during office visits was significantly higher in the last, relative to the first period (relative risk ratio = 2.42, 95% CI 1.24-4.72). CONCLUSIONS: The proportion of outpatient visits that included a diagnosis of anxiety increased over time, accompanied by a decrease in the proportion of visits with therapy.

Cost of Implementing an Evidence-Based Intervention to Support Safer Use of Antipsychotics in Youth.

To estimate the cost of implementing a clinical program designed to support safer use of antipsychotics in children and adolescents (youth) age 3-17 years at the time of initiating an antipsychotic medication. We calculate the costs of implementing a psychiatric consultation and navigation program for youth prescribed antipsychotic medications across 4 health systems, which included an electronic health record (EHR) decision support tool, consultation with a child and adolescent psychiatrist, and up to 6 months of behavioral health care navigation, as well as telemental health for patients (n = 348). Cost data were collected for both start-up and ongoing intervention phases and are estimated over a 1-year period. Data sources included study records and time-in-motion reports, analyzed from a health system perspective. Costs included both labor and nonlabor costs (2019 US dollars). The average total start-up and ongoing costs per health system were $34,007 and $185,174, respectively. The average total cost per patient was $2,128. The highest average ongoing labor cost components were telemental health ($901 per patient), followed by child and adolescent psychiatrist consultation ($659), and the lowest cost component was primary care/behavioral health provider time to review/respond to the EHR decision support tool and case consultation ($24). For health systems considering programs to promote safer and targeted use of antipsychotics among youth, this study provides estimates of the full start-up and ongoing costs of an EHR decision support tool, psychiatric consultation service, and psychotherapeutic services for patients and families.Trial registration: Clinicaltrials.gov, NCT03448575.

Social Needs as a Risk Factor for Positive Postpartum Depression Screens in Pediatric Primary Care.

OBJECTIVE: The goal of this study was to examine the association between self-reported social needs and postpartum depression (PPD) symptoms of mothers screened in pediatric primary care clinics. METHODS: This retrospective cohort study used electronic health record data from 3616 pediatric patients (age 0-6 months), whose mothers completed the Edinburgh Postpartum Depression Scale (EPDS) and a social needs screening in a large pediatric primary care network between April 2021 and February 2022. Mothers were screened for four self-reported social needs (food, housing, transportation, and utilities). Logistic regression evaluated the association between the report of any social need and a positive EPDS screen (≥ 10), adjusting for demographic and clinical characteristics and ZIP code-level poverty. RESULTS: Overall, 8.6% of mothers screened positive for PPD and 10.0% reported any social needs. The odds of a positive depression screen were significantly higher among mothers who reported any social need compared to those not reporting a social need (OR 4.18, 95% CI 3.11-5.61). The prevalence of all depressive symptoms on the EPDS was significantly higher among those who reported any social need, relative to those reporting no needs. Mothers reporting any social needs were significantly more likely to report thoughts of self-harm (6.9% vs 1.5%, P < .005). CONCLUSIONS: Self-report of social need was significantly associated with positive PPD screens during infant well-child visits. Social needs may be a target of future interventions addressing PPD in pediatric settings. Improving care for social needs may have added benefit of alleviating the risk of PPD.

Mental Health-related Utilization of Emergency Departments During Pregnancy in the U.S., 2016-2019.

INTRODUCTION: Mental health conditions are a leading comorbidity of pregnancy, but little is known about the use of emergency departments (EDs) for mental health-related care during pregnancy. This study aims to describe both the characteristics of pregnant women who receive mental health-related care in hospital EDs in the United States and the most common mental health diagnoses, types of medications, and mental health services that these women receive. METHODS: Pooled, cross-sectional data from the National Hospital Ambulatory Medical Care Survey (2016-2019) were used. Pregnant patients were identified based on diagnosis and reason for visit codes. Weighted descriptive analyses were performed to describe characteristics of pregnant women, services offered, and medications received for mental health-related visits. RESULTS: Mental health-related visits comprised 6.2% of all ED visits during pregnancy. History of depression was significantly higher in pregnant patients with mental health-related visits compared to those pregnant patients presenting for other reasons. The most common diagnoses for pregnant patients with mental health-related visits were substance use disorders (30.7%), anxiety-related disorders (19.1%), and depressive disorders (14.6%). Anxiolytics and antidepressants were the most common pharmacotherapies given. Few women saw a mental health provider during their visit (6.7%), while most were referred to an outside clinic for follow-up (55.0%). DISCUSSION: Many pregnant women seek care from EDs for mental health-related reasons. It remains important to train health care professionals who treat pregnant women in EDs how to deliver effective treatments, particularly for substance use disorders and anxiety. SIGNIFICANCE: Many pregnant patients receive care in emergency departments during pregnancy. Despite mental health conditions being a leading comorbidity of pregnancy, little is known about the use of emergency departments for mental health-related reasons during pregnancy. This study is the first to analyze a representative sample of emergency department visits by pregnant women in the United States between 2016 and 2019 and report on mental health-related visits. Among pregnant women seen in the ED for mental health-related reasons, the most common diagnoses were substance use disorders, anxiety-related disorders, and depressive disorders, but few saw a mental health provider during their visit.

Predictors of substance use disorder treatment initiation and engagement among adolescents enrolled in Medicaid.

Background: Adolescents with substance use disorders (SUD) should receive timely access to treatment to improve lifelong outcomes. The Healthcare Effectiveness Data and Information Set (HEDIS) initiation and engagement in treatment (IET) performance measure was intended to promote quality improvement for patients with SUD. Yet, few studies have assessed predictors of measure performance among adolescents or other engagement in mental health services, which is critical to understanding disparities in treatment quality or opportunities for targeted improvement strategies. The present study reports the rates and predictors of IET among adolescents with SUD, as well as receipt of any mental health services. Methods: The sample included adolescents enrolled in Medicaid in 14 states who had a qualifying diagnosis for SUD (2009-2013) and met HEDIS IET performance measure eligibility criteria. Three outcomes were assessed, including initiation of SUD treatment within 14 days of qualifying diagnosis, engagement in SUD treatment (2 or more encounters) within 30 days of initiation, and receipt of any mental health services (1 or more encounters) within 30 days of initiation. Logistic regression was used to identify demographic and clinical characteristics associated with outcomes. Results: Among 20,602 adolescents who met eligibility criteria, 49.5% initiated SUD treatment, 48.5% engaged in SUD treatment, and 70% received any mental health service. Adolescents with higher levels of clinical need (e.g., medical complexity, mental health comorbidity, and multiple SUD diagnoses) had significantly higher odds of initiating, but lower odds of engaging in treatment or receiving any mental health service. Conclusions: To increase the delivery of SUD treatment, efforts should target adolescents with co-occurring mental health needs, many of whom are receiving mental health services after SUD diagnosis. Integrating addiction and mental health services could address these missed opportunities.

"Prevention of opioid use disorder: the HOME (housing, opportunities, motivation and engagement) feasibility study".

Young adults experiencing homelessness are at high risk of opioid and other substance use, poor mental health outcomes, exposure to trauma, and other risks. Providing access to stable housing has the potential to act as a powerful preventive intervention, but supportive housing programs have been studied most often among chronically homeless adults or adults with serious mental illness. The Housing First model, which does not precondition supportive housing on sobriety, may reduce drug use in homeless adults. In the present study, we piloted an adapted model of Housing First plus prevention services that was tailored to the needs of young adults (18-24 years) experiencing homelessness in the USA. Preventive services were added to the Housing First model and included youth-centered advocacy services, motivational interviewing, and HIV risk prevention services. This model was piloted in a single-arm study (n = 21) to assess the feasibility, acceptability, and initial efficacy of a Housing First model over a 6-month period in preparation for a larger randomized trial. We use repeated measures ANOVA to test for changes in alcohol and drug use (percent days of use; alcohol or drug use consequences), housing stability, social network support, and cognitive distortions over 6 months of follow-up. A total of 17 youth completed the study (85% retention), and a high proportion of youth were stably housed at 6-month follow-up. Participation in intervention services was high with an average of 13.57 sessions for advocacy, 1.33 for MI, and 0.76 for HIV prevention. Alcohol use did not change significantly over time. However, drug use, drug use consequences, and cognitive distortions, and the size of youths' social networks that were drug using individuals decreased significantly. The Housing First model appeared to be feasible to deliver, and youth engaged in the supportive intervention services. The study demonstrates the potential for an adapted Housing First model to be delivered to youth experiencing homelessness and may improve outcomes, opening the way for larger randomized trials of the intervention.

Trends Over Time in Antipsychotic Initiation at a Large Children's Health Care System.

Objectives: Antipsychotic prescribing in children and adolescents increased sharply beginning in the 1990s, but recent reports among Medicaid enrollees suggest declining trends. However, few studies have included both commercially and publicly insured patients or focused on trends in new antipsychotic medications in children without documented psychotic disorders or other indicated conditions. The objective of the study was to report trends in new antipsychotic prescribing for pediatric patients (age 3-17 years) in a large children's health care system. Methods: Data were abstracted from electronic medical records (January 1, 2013 to December 31, 2017). New antipsychotic medication orders were defined as antipsychotic orders for patients without an order in the 180 days prior. Patients were excluded if the order was initiated in an emergency department or inpatient setting; they were diagnosed with psychotic disorder, mania, autism spectrum disorder, or intellectual disability; or the order was for prochlorperazine. The crude rate of new antipsychotic prescribing is reported quarterly with Poisson 95% confidence intervals in the total sample and by demographic subgroups (child vs. adolescent, female vs. male, public vs. private insurance, and white vs. nonwhite). Results: Antipsychotic orders decreased from 54.9 prescriptions per 10,000 person months in the first quarter of 2013 to 34.1 per 10,000 person months in the last quarter of 2017. Rates of antipsychotic prescribing were significantly higher for adolescents compared with children, patients who were commercially insured compared with Medicaid insured, and at most time points for white compared with non-white patients. However, prescribing rates did not differ significantly based on gender. Conclusions: Antipsychotic prescribing declined for both commercially and Medicaid-insured children in a pediatric hospital-based system, although white and commercially insured patients were more likely to be prescribed antipsychotics. More attention may be needed for reducing potentially avoidable prescribing of antipsychotics in previously understudied subgroups, such as commercially insured patients. Clinical Trial Registration Number: NCT03448575.

Exploring Health Literacy, Transition Readiness, and Healthcare Utilization in Medicaid Chronically Ill Youth.

PURPOSE: Youths with special healthcare needs face challenges transitioning from pediatric to adult health care. Understanding possible mechanisms contributing to poor healthcare transition could improve care. This study explores associations between health literacy (HL), transition readiness, and healthcare utilization. METHODS: Youths with special healthcare needs aged 12-18 years were recruited from a Medicaid accountable care organization (2012-2017). Outcome measures included transition readiness (Transition Readiness Assessment Questionnaire), and healthcare utilization (any well-check, hospitalization, emergency department [ED] visit, or ambulatory sensitive condition ED visit). Multivariate regression analyses examined whether HL (adequate vs. inadequate) predicted outcomes, after adjusting for covariates. Models were then created to examine whether the effect of HL on healthcare utilization was mediated by transition readiness. RESULTS: Among 417 youths with special healthcare needs, 67.1% reported adequate HL. Relative to inadequate HL, teens with adequate HL had significantly higher average Transition Readiness Assessment Questionnaire-20 scores (ß = .34, p < .001). Controlling for covariates, HL was a significant predictor of having an ambulatory sensitive condition ED visit and having any ED visits neared significance. There was a positive transition readiness mediation effect on having an ED visit, with higher transition readiness being associated with higher odds of having any ED visit in the mediation analysis. CONCLUSIONS: HL is independently associated with higher transition readiness and lower ambulatory sensitive condition ED use, but pathways of action require further study.

Evaluation of racial disparities in postoperative opioid prescription filling after common pediatric surgical procedures.

BACKGROUND: Racially disparate pain management affects both adult and pediatric patients, but is not well studied among pediatric surgical patients after discharge. The objectives were to evaluate racial disparities in pediatric postoperative opioid prescription filling. METHODS: This retrospective cohort study included black or white pediatric Medicaid patients who underwent tonsillectomy, supracondylar humeral fracture fixation, or appendectomy (2/2012-7/2016). Patients were followed for 14 days post-surgery to identify opioid prescription fills. Logistic regression models evaluated the association between race and the probability of filling an opioid prescription. RESULTS: Among 39,316 surgical patients, the proportions of patients with post-surgical opioid prescriptions were 66.0%, 83.9%, and 68.5%, among tonsillectomy, supracondylar fracture, and appendectomy patients, respectively. The proportion of black appendectomy patients with a postoperative opioid prescription was significantly lower compared to white patients (65.0% vs. 69.2% respectively, p = 0.03), but was no longer significant after adjusting for other patient and provider characteristics. There were no differences by race in opioid prescription filling among other surgical patient groups. CONCLUSIONS: The present study did not identify racial disparities in opioid prescription filling in adjusted analyses. Racial differences in unadjusted postoperative opioid prescription filling among appendectomy patients may be explained in part by longer postoperative length-of-stay among black children. TYPE OF STUDY: Prognosis Study LEVEL OF EVIDENCE: Level II.

Medication Treatment and Health Care Use Among Adolescents With Opioid Use Disorder in Ohio.

PURPOSE: The opioid epidemic impacts both adolescents and adults, and overdose deaths continue to rise. Two medication treatments (buprenorphine and naltrexone) are effective for treating opioid use disorder (OUD) in office-based settings but are seldom prescribed to adolescents. The present study describes medication treatment for OUD and other care received by adolescents with OUD in a state at the center of the opioid epidemic. METHODS: This retrospective cohort study included adolescents (aged 12-18 years) enrolled in Ohio Medicaid with an index OUD diagnosis (August 1, 2012, to May 31, 2016). Analyses describe the proportion of adolescents who received medication for OUD, health care (general medical outpatient, behavioral health, hospitalization, and emergency department), and other medications (attention deficit/hyperactivity disorder, antidepressants, antipsychotics, benzodiazepines, and opioid analgesics) within 3 months after OUD diagnosis. The results are compared by age group (12-15 and 16-18 years). RESULTS: Among 626,508 adolescents enrolled in Medicaid, 2,097 met inclusion criteria. Overall, 4.6% received medication for OUD, whereas 9.8% received an opioid analgesic, within 3 months after OUD diagnosis. The proportion of older adolescents receiving medication for OUD was significantly higher than younger adolescents (5.9% vs. 1.2%; p < .001), whereas a higher proportion of younger adolescents received attention deficit/hyperactivity disorder medications, antidepressants, and antipsychotics. Low proportions of adolescents in both age groups received benzodiazepines (2.4% and 3.6%). During the 3 months after OUD diagnosis, 48.5% of adolescents had general medical outpatient visits, and 29% received outpatient behavioral health services. CONCLUSIONS: Although a large proportion of adolescents with OUD have subsequent visits in outpatient settings, few receive medications to treat OUD.

Effect of a Care Management Intervention on 12-Month Drinking Outcomes Among Patients With and Without DSM-IV Alcohol Dependence at Baseline.

BACKGROUND: The CHOICE care management intervention did not improve drinking relative to usual care (UC) for patients with frequent heavy drinking at high risk of alcohol use disorders. Patients with alcohol dependence were hypothesized to benefit most. We conducted preplanned secondary analyses to test whether the CHOICE intervention improved drinking relative to UC among patients with and without baseline DSM-IV alcohol dependence. METHODS: A total of 304 patients reporting frequent heavy drinking from 3 VA primary care clinics were randomized (stratified by DSM-IV alcohol dependence, sex, and site) to UC or the patient-centered, nurse-delivered, 12-month CHOICE care management intervention. Primary outcomes included percent heavy drinking days (%HDD) using 28-day timeline follow-back and a "good drinking outcome" (GDO)-abstaining or drinking below recommended limits and no alcohol-related symptoms on the Short Inventory of Problems at 12 months. Generalized estimating equation binomial regression models (clustered on provider) with interaction terms between dependence and intervention group were fit. RESULTS: At baseline, 59% of intervention and UC patients had DSM-IV alcohol dependence. Mean drinking outcomes improved for all subgroups. For participants with dependence, 12-month outcomes did not differ for intervention versus UC patients (%HDD 37% versus 38%, p = 0.76 and GDO 16% versus 16%, p = 0.77). For participants without dependence, %HDD did not differ between intervention (41%) and UC (31%) patients (p = 0.12), but the proportion with GDO was significantly higher among UC participants (26% versus 13%, p = 0.046). Neither outcome was significantly modified by dependence (interaction p values 0.19 for %HDD and 0.10 for GDO). CONCLUSIONS: Among participants with frequent heavy drinking, care management had no benefit relative to UC for patients with dependence, but UC may have had benefits for those without dependence. TRIAL REGISTRATION: ClinicalTrials.gov NCT01400581.

Identifying Problematic Substance Use in a National Sample of Adolescents Using Frequency Questions.

BACKGROUND: Brief substance use screening questions for tobacco, alcohol, cannabis, and other drugs need further validation in adolescents. In particular, optimal age-specific screening cut-points are not known, and no study has been large enough to evaluate screening questions for noncannabis illicit drug use. METHODS: Adolescent respondents to an annual national household survey were included (2008 to 2014; n = 169,986). Days of tobacco use in the past month, and days of alcohol, cannabis, other illicit drug use in the past year, were assessed as brief screens for tobacco dependence and DSM-IV alcohol (AUD), cannabis (CUD), and other illicit drug use disorders (DUD). Areas under receiver operating characteristics curves (AUCs), sensitivity and specificity were estimated separately by age group (12-15-, 16-17-, and 18-20-year-olds) and cut-points that maximized combined values of sensitivity and specificity were considered optimal. RESULTS: The prevalence of tobacco dependence, AUD, CUD, and DUD was 5.8%, 7.1%, 4.5%, and 2.0%, respectively. AUCs ranged 0.84 to 0.99. The optimal cut-points for screening for tobacco dependence and DUDs was the same for all age groups: ≥1 day. The optimal cut-points for alcohol and cannabis varied by age: ≥3 days for 12-15-year-olds and ≥12 days for older adolescents. CONCLUSIONS: Brief measures of past-year use, or past-month use for tobacco, accurately identified adolescents with problematic substance use. However, health systems should use age-specific screening cut-points for alcohol and cannabis to optimize screening performance.

Utility of routine alcohol screening for monitoring changes in alcohol consumption.

BACKGROUND: Routine alcohol screening scores are increasingly available in electronic health records (EHRs). Changes in such scores could be useful for monitoring response to brief intervention or treatment of alcohol use disorder. However, it is unclear whether changes in clinically-documented AUDIT-C alcohol screening scores reflect true changes in drinking. This study evaluated associations between changes in EHR AUDIT-C scores and changes in high density lipoprotein cholesterol (HDL), a laboratory test that reflects average alcohol consumption. METHODS: National U.S. Veterans Affairs EHR data (2004-2007) were used to identify patients screened with the AUDIT-C (0-12 points), on two occasions at least a year apart, who had HDL measured in the year after each screen. First differencing linear regression estimated associations between changes in AUDIT-C score (-12 to 12 points; modeled categorically to allow for non-linear associations) and subsequent changes in HDL (mg/dL), adjusting for baseline HDL. Additional analyses evaluated whether associations between changes in AUDIT-C and changes in HDL were modified by baseline AUDIT-C. RESULTS: Among 316,712 patients, increases-but not decreases-in AUDIT-C scores were associated with commensurate changes in HDL. However, a significant interaction was observed with baseline AUDIT-C score (p < 0.00001), which revealed that decreases in AUDIT-C scores were also associated with commensurate decreases in HDL (p-values<0.05) except among the 1.5% of patients with the highest baseline AUDIT-C scores (10-12). CONCLUSIONS: Findings suggest that changes in EHR AUDIT-C scores reflect changes in drinking. These results support the use of clinically-documented alcohol screening scores for monitoring patients' alcohol use over time.

Satisfaction With Care Coordination for Families of Children With Disabilities.

INTRODUCTION: Children with disabilities have significant health care needs, and receipt of care coordinator services may reduce caregiver burdens. The present study assessed caregivers' experience and satisfaction with care coordination. METHOD: Caregivers of Medicaid-enrolled children with disabilities (n = 2,061) completed a survey (online or by telephone) collecting information on the caregivers' experiences and satisfaction with care coordination using the Family Experiences with Coordination of Care questionnaire. RESULTS: Eighty percent of caregivers with a care coordinator reported receiving help making specialist appointments, and 71% reported help obtaining community services. Caregivers who reported that the care coordinator helped with specialist appointments or was knowledgeable, supportive, and advocating for children had increased odds of satisfaction (odds ratio = 3.46, 95% confidence interval = [1.01, 11.77] and odds ratio = 1.07, 95% confidence interval = [1.03, 1.11], respectively). DISCUSSION: Findings show opportunities for improving care coordination in Medicaid-enrolled children with disabilities and that some specific elements of care coordination may enhance caregiver satisfaction with care.

Alcohol-Related Nurse Care Management in Primary Care: A Randomized Clinical Trial.

Importance: Experts recommend that alcohol use disorders (AUDs) be managed in primary care, but effective approaches are unclear. Objective: To test whether 12 months of alcohol care management, compared with usual care, improved drinking outcomes among patients with or at high risk for AUDs. Design, Setting, and Participants: This randomized clinical trial was conducted at 3 Veterans Affairs (VA) primary care clinics. Between October 11, 2011, and September 30, 2014, the study enrolled 304 outpatients who reported heavy drinking (≥4 drinks per day for women and ≥5 drinks per day for men). Interventions: Nurse care managers offered outreach and engagement, repeated brief counseling using motivational interviewing and shared decision making about treatment options, and nurse practitioner-prescribed AUD medications (if desired), supported by an interdisciplinary team (CHOICE intervention). The comparison was usual primary care. Main Outcomes and Measures: Primary outcomes, assessed by blinded telephone interviewers at 12 months, were percentage of heavy drinking days in the prior 28 days measured by timeline follow-back interviews and a binary good drinking outcome, defined as abstinence or drinking below recommended limits in the prior 28 days (according to timeline follow-back interviews) and no alcohol-related symptoms in the past 3 months as measured by the Short Inventory of Problems. Results: Of 304 participants, 275 (90%) were male, 206 (68%) were white, and the mean (SD) age was 51.4 (13.8) years. At baseline, both the CHOICE intervention (n = 150) and usual care (n = 154) groups reported heavy drinking on 61% of days (95% CI, 56%-66%). During the 12-month intervention, 137 of 150 patients in the intervention group (91%) had at least 1 nurse visit, and 77 of 150 (51%) had at least 6 nurse visits. A greater proportion of patients in the intervention group than in the usual care group received alcohol-related care: 42% (95% CI, 35%-49%; 63 of 150 patients) vs 26% (95% CI, 19%-35%; 40 of 154 patients). Alcohol-related care included more AUD medication use: 32% (95% CI, 26%-39%; 48 of 150 patients in the intervention group) vs 8% (95% CI, 5%-13%; 13 of 154 patients in the usual care group). No significant differences in primary outcomes were observed at 12 months between patients in both groups. The percentages of heavy drinking days were 39% (95% CI, 32%-47%) and 35% (95% CI, 28%-42%), and the percentages of patients with a good drinking outcome were 15% (95% CI, 9%-22%; 18 of 124 patients) and 20% (95 % CI, 14%-28%; 27 of 134 patients), in the intervention and usual care groups, respectively (P = .32-.44). Findings at 3 months were similar. Conclusions and Relevance: The CHOICE intervention did not decrease heavy drinking or related problems despite increased engagement in alcohol-related care. Trial Registration: clinicaltrials.gov Identifier: NCT01400581.