Burden of Common Neurologic Diseases in Asian Countries, 1990-2019: An Analysis for the Global Burden of Disease Study 2019.

BACKGROUND AND OBJECTIVES: Based on the Global Burden of Diseases, Injuries, and Risk Factors (GBD) study, neurologic disorders are a major cause of morbidity and mortality worldwide. However, there has been no comprehensive assessment of neurologic disorders in Asia. Data from the GBD 1990-2019 study were investigated to provide new details for neurologic disorders in Asia. METHODS: The burden of common neurologic disorders in Asia was calculated for 1990 and 2019 as incidence, prevalence, deaths, and disability-adjusted life-years (DALYs). Thirteen common neurologic disorders were analyzed. Data are presented as totals and by sex, age, year, location, risk factors, and sociodemographic index (SDI) and shown as counts and rates. RESULTS: In 2019, the most burdensome neurologic disorders in Asia for the absolute number of DALYs were stroke (98.8 million, 95% uncertainty interval [UI] 91.0-107.0), migraine (24.6 million, 95% UI 3.4-56.4), and Alzheimer disease (AD) and other dementias (13.5 million, 95% UI 5.9-29.8). From 1990 to 2019, the absolute number of DALYs and deaths caused by combined neurologic disorders (deaths by 60.7% and DALYs by 17.6%) increased, but the age-standardized rates (deaths by 34.1% and DALYs by 36.3%) decreased. The burden of neurologic disorders peaked among individuals aged 65-74 years and was higher among male than among female individuals; moreover, this burden varied considerably across Asian subregions and countries. Risk-attributable DALYs accounted for 86.9%, 28.5%, and 11.1% of DALYs for stroke, AD and other dementias, and multiple sclerosis, respectively. SDI was associated with both stroke and communicable neurological disorders. In terms of crude rate, the higher the SDI value, the higher the prevalence of stroke, and the lower all metrics of communicable neurological disorders. DISCUSSION: Neurologic disorders were the leading cause of DALYs and the second leading cause of deaths in Asia in 2019, and the burden may likely increase with the growth and aging of the Asian population. Urgent measures are needed for prevention, treatment, rehabilitation, and support services for common neurologic disorders regionally and nationally.

Engagement, Use, and Impact of Digital Mental Health Resources for Diverse Populations in COVID-19: Community-Partnered Evaluation.

BACKGROUND: The COVID-19 pandemic increased disparities for communities burdened by structural barriers such as reduced affordable housing, with mental health consequences. Limited data are available on digital resources for public mental health prevention during the COVID-19 pandemic. OBJECTIVE: The study aim was to evaluate engagement in and impact of free digital resources on the Together for Wellness/Juntos por Nuestro Bienestar (T4W/Juntos) website during COVID-19 in California. METHODS: A pilot evaluation of T4W/Juntos was performed, with partner agencies inviting providers, clients, and partners to visit the website and complete surveys at baseline (September 20, 2021, to April 4, 2022) and at 4-6-week follow-up (October 22, 2021, to May 17, 2022). Website use was assessed by three engagement items (ease of use, satisfaction, relevance), comfort in use, and use of six resource categories. Primary outcomes at follow-up were depression and anxiety (scores≥3 on Patient Health Questionnaire-2 item [PHQ2] and Generalized Anxiety Disorder-2 item [GAD2] scales). Secondary outcomes were post-pre differences in PHQ2 and GAD2 scores, and use of behavioral health hotlines and services the month before follow-up. RESULTS: Of 366 eligible participants, 315 (86.1%) completed baseline and 193 (61.3%) completed follow-up surveys. Of baseline participants, 72.6% identified as female, and 21.3% identified as lesbian, gay, bisexual, transgender, queer/questioning, and others (LGBTQ+). In terms of ethnicity, 44.0% identified as Hispanic, 17.8% as African American, 26.9% as non-Hispanic white, and 11.4% as other ethnicity. Overall, 32.7% had moderate anxiety or depression (GAD2/PHQ2≥3) at baseline. Predictors of baseline website engagement included being Hispanic versus other race/ethnicity (ß=.27, 95% CI .10-.44; P=.002) and number of COVID-19-related behavior changes (ß=.09, 95% CI .05-.13; P<.001). Predictors of comfort using the website were preferring English for website use (odds ratio [OR] 5.57, 95% CI 2.22-13.96; P<.001) and COVID-19-related behavior changes (OR 1.37, 95% CI 1.12-1.66; P=.002); receiving overnight behavioral health treatment in the prior 6 months (OR 0.15, 95% CI 0.03-0.69, P=.015) was associated with less comfort in website use. The main predictor of depression at follow-up (PHQ2≥3) was baseline depression (OR 6.24, 95% CI 2.77-14.09; P<.001). Engagement in T4W/Juntos was associated with lower likelihood of depression (OR 0.54, 95% CI 0.34-0.86; P=.01). Website use the month before follow-up was associated with a post-pre reduction in PHQ2 score (ß=-.62, 95% CI -1.04 to -0.20; P=.004). The main predictor of GAD2≥3 at follow-up was baseline GAD2≥3 (OR 13.65, 95% CI 6.06-30.72; P<.001). Greater baseline website engagement predicted reduced hotline use (OR 0.36, 95% CI 0.18-0.71; P=.004). CONCLUSIONS: Ethnicity/language and COVID-19-related behavior changes were associated with website engagement; engagement and use predicted reduced follow-up depression and behavioral hotline use. Findings are based on participants recommended by community agencies with moderate follow-up rates; however, significance was similar when weighting for nonresponse. This study may inform research and policy on digital mental health prevention resources.

Multimodal imaging distribution assessment of a liposomal antibiotic in an infectious disease model.

Liposomes are promising targeted drug delivery systems with the potential to improve the efficacy and safety profile of certain classes of drugs. Though attractive, there are unique analytical challenges associated with the development of liposomal drugs including human dose prediction given these are multi-component drug delivery systems. In this study, we developed a multimodal imaging approach to provide a comprehensive distribution assessment for an antibacterial drug, GSK2485680, delivered as a liposomal formulation (Lipo680) in a mouse thigh model of bacterial infection to support human dose prediction. Positron emission tomography (PET) imaging was used to track the in vivo biodistribution of Lipo680 over 48 h post-injection providing a clear assessment of the uptake in various tissues and, importantly, the selective accumulation at the site of infection. In addition, a pharmacokinetic model was created to evaluate the kinetics of Lipo680 in different tissues. Matrix-assisted laser desorption/ionization (MALDI) imaging mass spectrometry (IMS) was then used to quantify the distribution of GSK2485680 and to qualitatively assess the distribution of a liposomal lipid throughout sections of infected and non-infected hindlimb tissues at high spatial resolution. Through the combination of both PET and MALDI IMS, we observed excellent correlation between the Lipo680-radionuclide signal detected by PET with the GSK2485680 and lipid component signals detected by MALDI IMS. This multimodal translational method can reduce drug attrition by generating comprehensive biodistribution profiles of drug delivery systems to provide mechanistic insight and elucidate safety concerns. Liposomal formulations have potential to deliver therapeutics across a broad array of different indications, and this work serves as a template to aid in delivering future liposomal drugs to the clinic.

Implementation of a Community-Partnered Research Suicide-Risk Management Protocol: Case Study From Community Partners in Care.

OBJECTIVE: Suicidality is common among participants in clinical trials and health services research, but approaches to suicide risk assessment and mitigation vary widely. Studies involving vulnerable populations with limited access to care raise additional ethical concerns. The authors applied a community-partnered approach to develop and implement a suicide-risk management protocol (SRMP) in a depression study in an underresourced setting in Los Angeles. METHODS: Using a community-partnered participatory research framework, the authors designed and adapted the SRMP. Qualitative data regarding SRMP implementation included notes from SRMP development meetings and from study clinicians conducting outreach calls to study participants. Analyses included baseline and 6- and 12-month telephone survey data from 1,018 enrolled adults with moderate to severe depressive symptoms (8-item Patient Health Questionnaire score ≥10), of whom 48% were Black and 40% Latino. RESULTS: Community stakeholders prioritized a robust SRMP to ensure participant safety. Features included rapid telephone outreach by study clinicians in all cases of reported recent suicidality and expedited treatment access. Using a suicidality timeframe prompt of "in the past 2 weeks," endorsement of suicidality was common (15% at baseline, 32% cumulative). Midway through the study, the SRMP was modified to assess for present suicidality, which reduced the frequency of clinician involvement. Overall, 318 outreach calls were placed, with none requiring an emergency response. Treatment referrals were provided in 157 calls, and outreach was well received. CONCLUSIONS: SRMP implementation in research involving underresourced and vulnerable communities merits additional considerations. Partnering with community stakeholders can facilitate the development of acceptable and feasible SRMP procedures.

Maternal health services utilisation among primigravidas in Uganda: what did the MDGs deliver?

BACKGROUND: Achieving maternal health outcomes in the SDGs requires the implementation of more targeted policies and strategies. While the MDGs may have deepened our understanding in this regard, we know little about the trends in maternal health services utilisation among primigravidas, and how age and geographical regions could have influenced these trends. In this study, we examined utilisation of antenatal and skilled delivery services among primigravidas in Uganda, a country with one of the highest maternal mortality ratios, and where early childbearing and its attendant challenges are common. METHODS: Guided by Andersen's Behavioural Model, we fitted multivariate regression models to a pooled dataset of the 2006, 2011 and 2016 Ugandan Demographic and Health Survey (n = 3477) to understand the dynamics in Antenatal Care (ANC) and Skilled Birth Attendance (SBAs) utilisation among primigravidas. Post-estimation margins were employed to further highlight the effect of age and geographical regions. RESULTS: The analyses show an improvement in access to maternal health services among primigravidas from 2006 to 2016. Compared to 2006, primigravidas in 2016 were 48%, 24% and 2.98 times more likely to have early ANC, four or more ANC visits, and SBAs, respectively. Altogether, a primigravida in 2016 relative to 2006 was 42% more likely to meet all three maternal health service indicators. Post-estimation margins analyses on age and geographical disparities revealed that younger primigravidas have lower probability, while primigravidas in Eastern Region, one of the most deprived in the country, have the lowest probability of accessing maternal health services. Also, the study found education, wealth, women's household decision-making power, place of residence as important determinants of ANC visits and SBAs. CONCLUSIONS: Based on our findings, it is important to address the vulnerabilities of primigravidas, particularly younger individuals, in accessing early ANC. Uganda should scale-up decentralisation and integration of maternal health delivery in local communities as a strategy of addressing lingering geographical disparities, and ultimately improve maternal health outcomes in the SDGs period.

A Clinical Care Monitoring and Data Collection Tool (H3 Tracker) to Assess Uptake and Engagement in Mental Health Care Services in a Community-Based Pediatric Integrated Care Model: Longitudinal Cohort Study.

BACKGROUND: National recommendations for pediatric integrated care models include improved capacity for care coordination and communication across primary care and specialty mental health providers using technology, yet few practical, short-term solutions are available for low-resource, community-based pediatric integrated care clinics. OBJECTIVE: The goal of the paper is to describe the development and features of a Web-based tool designed for program evaluation and clinician monitoring of embedded pediatric mental health care using a community-partnered approach. In addition, a longitudinal study design was used to assess the implementation of the tool in program evaluation, including clinical monitoring and data collection. METHODS: Biweekly meetings of the partnered evaluation team (clinic, academic, and funding partners) were convened over the course of 12 months to specify tool features using a participatory framework, followed by usability testing and further refinement during implementation. RESULTS: A data collection tool was developed to collect clinic population characteristics as well as collect and display patient mental health outcomes and clinical care services from 277 eligible caregiver/child participants. Despite outreach, there was little uptake of the tool by either the behavioral health team or primary care provider. CONCLUSIONS: Development of the H3 Tracker (Healthy Minds, Healthy Children, Healthy Chicago Tracker) in two community-based pediatric clinics with embedded mental health teams serving predominantly minority children is feasible and promising for on-site program evaluation data collection. Future research is needed to understand ways to improve clinic integration and examine whether promotion of primary care/mental health communication drives sustained use. TRIAL REGISTRATION: ClinicalTrials.gov NCT02699814; https://clinicaltrials.gov/ct2/show/NCT02699814 (Archived by WebCite at http://www.webcitation.org/772pV5rWW).

Assessment of the functional regions of the superantigen staphylococcal enterotoxin B.

The functional activity of superantigens is based on capacity of these microbial proteins to bind to both the ß-chain of the T cell receptor (TcR) and the major histocompatibility complex (MHC) class II dimer. We have previously shown that a subset of the bacterial superantigens also binds to a membrane protein, designated p85, which is expressed by renal epithelial cells. This binding activity is a property of SEB, SEC1, 2 and 3, but not SEA, SED, SEE or TSST. The crystal structure of the tri-molecular complex of the superantigen staphylococcal enterotoxin B (SEB) with both the TcR and class II has previously been reported. However, the relative contributions of regions of the superantigen to the overall functional activity of this superantigen remain undefined. In an effort to better define the molecular basis for the interaction of SEB with the TcR ß-chain, we report studies here which show the comparative contributions of amino- and carboxy-terminal regions in the superantigen activity of SEB. Recombinant fusion proteins composed of bacterial maltose-binding protein linked to either full-length or truncated toxins in which the 81 N-terminal, or 19 or 34 C-terminal amino acids were deleted, were generated for these studies. This approach provides a determination of the relative strength of the functional activity of the various regions of the superantigen protein.

Do parent perceptions predict continuity of publicly funded care for attention-deficit/hyperactivity disorder?

OBJECTIVE: To examine whether parent perceptions about care (barriers, disorder knowledge, treatment willingness) vary among children who drop out of or stay in publicly funded care for attention-deficit/hyperactivity disorder (ADHD) and to explore whether parent perceptions are predictive of staying in care over time. METHODS: A longitudinal cohort study of 529 children ages 5 to 11 years receiving care for ADHD in primary care or specialty mental health clinics in a large, countrywide, managed-care Medicaid program. Multiple logistic regression analyses were performed to identify parent perceptions associated with the likelihood of staying in care across three 6-month time intervals, controlling for child and parent demographic characteristics, parental distress, clinical need, and recent special education use. RESULTS: At least three-fourths of children had at least 1 contact for any mental health care during a 6-month time interval (75%, 85%, 76%). Parent-perceived barriers, ADHD knowledge, and counseling willingness did not predict staying in care, whereas willingness for medication treatment was predictive at baseline. Minority status, nonmarried parent, parental distress, clinical need, and special education use were predictive of staying in care, but mostly during only one 6-month time interval, and their influence varied over time. CONCLUSIONS: Parent willingness for medication treatment along with several demographic and need factors predicted staying in care but not consistently over time. Future research is needed to develop practical tools for clinicians to elicit parent priorities about ADHD treatment and to integrate them into quality-improvement interventions targeted to improving shared decision-making for longer term ADHD care.

Effect of medicare part D benzodiazepine exclusion on psychotropic use in benzodiazepine users.

OBJECTIVES: To evaluate the effect of the Medicare benzodiazepine coverage exclusion on psychotropic use of benzodiazepine users. DESIGN: Pre-post design with concurrent control group. SETTING: General community. PARTICIPANTS: Intervention and comparison cohorts of individuals drawn from the same insurer who were prescribed benzodiazepines through the end of 2005. Intervention participants (n = 19,339) were elderly adults from a large, national Medicare Advantage plan subject to benzodiazepine exclusion as a result of the Medicare Modernization Act (MMA). Comparison participants (n = 3,488) were near-elderly individuals enrolled in a managed care plan not subject to the MMA benzodiazepine exclusion. MEASUREMENTS: Any psychotropic drug use and expenditures. RESULTS: In the intervention cohort, benzodiazepine use and expenditures significantly declined from 100% and $134 in 2005 to 74.8% and $59, respectively, in 2007. Nonbenzodiazepine psychotropic drug use and expenditures significantly increased from 35.8% and $163 in 2005 to 39.5% and $207, respectively, in 2007. In the comparison cohort, benzodiazepine use and expenditures also significantly declined from 100% and $173 in 2005 to 57.5% and $105, respectively, in 2007, but nonbenzodiazepine psychotropic drug use and expenditures significantly declined from 55.4% and $647 in 2005 to 45.1% and $572, respectively, in 2007. Changes in antidepressant and anxiolytic use were the primary cause of changes in nonbenzodiazepine psychotropic drugs in both cohorts. CONCLUSION: Use of benzodiazepines continued in elderly adults despite negative financial incentives, possibly because of the low costs of such medications. Although some substitution occurred with antidepressants and anxiolytics, the magnitude of this increase did not fully offset the reduction in benzodiazepine use.

Medicare Part D benzodiazepine exclusion and use of psychotropic medication by patients with new anxiety disorders.

OBJECTIVE: The Medicare Modernization Act (MMA) specifically excluded benzodiazepines from Medicare Part D coverage starting in 2006; however, benzodiazepines are an effective, low-cost treatment for anxiety. This study evaluated the effect of the Medicare Part D benzodiazepine coverage exclusion among patients with new anxiety disorders. METHODS: The authors used a quasi-experimental cohort design to study patients with new anxiety diagnoses from a large national health plan during the first six months of 2005, 2006, and 2007. Logistic and zero-truncated negative-binomial regression models using covered claims for behavioral, medical, and pharmaceutical care linked with eligibility files were used to estimate utilization and costs of psychotropic medication and health care utilization among elderly Medicare Advantage enrollees (N=8,397) subject to the MMA benzodiazepine exclusion and a comparison group of near-elderly (ages 60­64) enrollees (N=1,657) of a managed care plan. RESULTS: Medicare Advantage enrollees diagnosed in 2005 had significantly (p<.05) higher rates of covered claims for benzodiazepines and all psychotropic drugs, lower rates of covered claims for nonbenzodiazepines, and lower expenditures for psychotropic drugs than enrollees diagnosed in 2006 and 2007. There were no significant differences over time in utilization or expenditures related to psychotropic medication among the comparison group. There also were no significant changes over time in outpatient visits for behavioral care by either cohort. CONCLUSIONS: Among elderly patients with new anxiety diagnoses, the MMA benzodiazepine exclusion increased use of nonbenzodiazepine psychotropic drugs without substitution of increased behavioral care. Overall, the exclusion was associated with a modest increase in covered claims for psychotropic medication.

Quality of care for childhood attention-deficit/hyperactivity disorder in a managed care medicaid program.

OBJECTIVE: To examine whether clinical severity is greater among children receiving attention-deficit/hyperactivity disorder (ADHD) care in primary care compared with those in specialty mental health clinics, and to examine how care processes and clinical outcomes vary by sector across three 6-month time intervals. METHOD: This was a longitudinal cohort study of 530 children aged 5 to 11 years receiving ADHD care in primary care or specialty mental health clinics from November 2004 through September 2006 in a large, countywide managed care Medicaid program. RESULTS: Clinical severity at study entry did not differ between children who received ADHD care in solely primary or specialty mental health care clinics. At three 6-month intervals, receipt of no care ranged from 34% to 44%, and unmet need for mental health services ranged from 13% to 20%. In primary care, 80% to 85% of children had at least one stimulant prescription filled and averaged one to two follow-up visits per year. Less than one-third of children in specialty mental health clinics received any stimulant medication, but all received psychosocial interventions averaging more than five visits per month. In both sectors, stimulant medication refill prescription persistence was poor (31%-49%). With few exceptions, ADHD diagnosis, impairment, academic achievement, parent distress, and parent-reported treatment satisfaction, perceived benefit, and improved family functioning did not differ between children who remained in care and those who received no care. CONCLUSION: Areas for quality improvement are alignment of clinical severity with provider type, follow-up visits, stimulant use in specialty mental health, agency data infrastructure to document delivery of evidence-based psychosocial treatment, and stimulant medication refill prescription persistence.

Mental health service use by older adults: the role of chronic pain.

OBJECTIVE: Mental health disorders commonly co-occur in patients with chronic pain, but little is known about the role of chronic pain in mental health service use. In this study, the authors explored the role of chronic pain in mental health service use by adults according to age group. METHOD: The authors conducted a cross-sectional analysis of survey data from the second wave of the Health Care for Communities telephone survey collected in 2000-2001. Participants consisted of U.S. civilian adults (N = 6629) from randomly selected U.S. households. Common mental disorders were assessed using the short-form versions of the World Health Organization's Composite International Diagnostic Interview. Chronic pain conditions and mental health services received were identified by self-report. Physical and mental functioning was assessed using the Short Form-12. RESULTS: Adults older than age 60 had higher rates of chronic pain and lower rates of mental health service use compared with those aged 18-60 years. In multiple logistic regression models, an interaction effect was found between age and chronic pain (odds ratio: 3.0 [1.1-8.0]) with chronic pain significantly increasing the odds of any mental health care in the past year in adults older than 60 years of age. CONCLUSIONS: Chronic pain increases the likelihood of mental health service use among older adults. Chronic pain may facilitate the presentation of distress in medical settings for these adults.

The importance of social context: neighborhood stressors, stress-buffering mechanisms, and alcohol, drug, and mental health disorders.

This study examines the relationship among neighborhood stressors, stress-buffering mechanisms, and likelihood of alcohol, drug, and mental health (ADM) disorders in adults from 60 US communities (n=12,716). Research shows that larger support structures may interact with individual support factors to affect mental health, but few studies have explored buffering effects of these neighborhood characteristics. We test a conceptual model that explores effects of neighborhood stressors and stress-buffering mechanisms on ADM disorders. Using Health Care for Communities with census and other data, we found a lower likelihood of disorders in neighborhoods with a greater presence of stress-buffering mechanisms. Higher neighborhood average household occupancy and churches per capita were associated with a lower likelihood of disorders. Cross-level interactions revealed that violence-exposed individuals in high crime neighborhoods are vulnerable to depressive/anxiety disorders. Likewise, individuals with low social support in neighborhoods with high social isolation (i.e., low-average household occupancy) had a higher likelihood of disorders. If replicated by future studies using longitudinal data, our results have implications for policies and programs targeting neighborhoods to reduce ADM disorders.

The effects of health sector market factors and vulnerable group membership on access to alcohol, drug, and mental health care.

OBJECTIVE: This study adapts Andersen's Behavioral Model to determine if health sector market conditions affect vulnerable subgroups' use of alcohol, drug, and mental health services (ADM) differently than the general population, focusing specifically on community-level predisposing and enabling characteristics. DATA SOURCES: Wave 2 data (2000-2001) from the Health Care for Communities study, supplemented with cases from wave 1 (1997-1998), were merged with area characteristics taken from Census, Area Resource File (ARF), and other data sources. STUDY DESIGN: The study used four-level hierarchical logistic regression to examine access to ADM care from any provider and specialty ADM access. Interactions between community-level predisposing and enabling vulnerability characteristics with individual race/ethnicity, age, income category, and insurance type were explored. PRINCIPAL FINDINGS: Nonwhites, the poor, uninsured, and elderly had lower likelihoods of service use, but interactions between race/ethnicity, income, age and insurance status with community-level vulnerability factors were not statistically significant for any service use. For ADM specialty care, those with Medicare, Medicaid, private fully managed, and private partially managed insurance, the likelihood of utilization was higher in areas with higher HMO penetration. However, for those with other insurance or no insurance plan, the likelihood of utilization was lower in areas with higher HMO penetration. CONCLUSIONS: Community-level enabling factors explain part of the effect of disadvantaged status but, with the exception of the effect of HMO penetration on the relationship between insurance and specialty care use, do not modify any of the residual individual-level effects of disadvantage. Interventions targeting both structural and individual levels may be necessary to address the problem of health disparities. More research with longitudinal data is necessary to sort out the causal direction of social context and ADM access outcomes, and whether policy interventions to change health sector market conditions can shift ADM treatment utilization.

Association between mental health disorders, problem drug use, and regular prescription opioid use.

BACKGROUND: Use of opioids for chronic noncancer pain is increasing, but standards of care for this practice are poorly defined. Psychiatric disorders are associated with increased physical symptoms such as pain and may be associated with opioid use, but no prospective population-based studies have addressed this issue. METHODS: Analysis of longitudinal data from 6439 participants in the 1998 and 2001 waves of Healthcare for Communities, a nationally representative telephone community survey. RESULTS: Two hundred thirty-seven subjects (3.6%) reported regular prescription opioid use in 2001. In unadjusted logistic regression models, respondents with a common mental health disorder in 1998 (1165 [12.6%]; major depression, dysthymia, generalized anxiety disorder, or panic disorder) were more likely to report opioid use in 2001 than those without any of these disorders (odds ratio [OR], 4.43; 95% confidence interval [CI], 3.64-5.38; P<.001). Risk was increased for initiation (OR, 3.26; 95% CI, 2.44-4.34; P<.001) and continuation (OR, 2.30; 95% CI, 1.02-5.17; P = .04) of opioids. Respondents reporting problem drug use (136 [2.0%]; OR, 3.57; 95% CI, 2.32-5.50; P<.001) but not problem alcohol use (401 [6.5%]; OR, 0.73; 95% CI, 0.43-1.24; P = .25) reported higher rates of prescribed opioid use than those without problem use. In multivariate logistic regression models controlling for 1998 demographic and clinical variables, common mental health disorder (OR, 1.96; 95% CI, 1.47-2.62; P<.001) and problem drug use (OR, 2.98; 95% CI, 1.68-5.30; P<.001) remained significant predictors of opioid use in 2001. CONCLUSIONS: Common mental health disorders and problem drug use are associated with initiation and use of prescribed opioids in the general population. Attention to psychiatric disorders is important when considering opioid therapy.

Improving care for depression in patients with comorbid substance misuse.

OBJECTIVE: The authors investigated whether quality improvement programs for depression would be effective among substance misusers and whether there would be a differential program-by-comorbidity effect. METHOD: A group-level randomized controlled trial (Partners in Care) compared two quality improvement programs for depression with usual care. Consecutive patients (N=27,332) from six managed care organizations in five states were screened, and 1,356 were enrolled: 443 received usual care while the rest entered a quality improvement program involving either medication (N=424) or therapy (N=489). Multiple logistic regression was used to test hypotheses and compute standardized predictions of the adjusted rates of depression and use of psychotherapy and antidepressants. RESULTS: Under usual care conditions, depressed patients with substance misuse had an increased probability of ongoing depression despite higher rates of overall appropriate treatment. Among clients with comorbid substance misuse, the quality improvement programs were associated with improved depression outcomes at 12 months and increased antidepressant use at 6 months. Among clients with no substance misuse, the quality improvement programs improved depression outcomes at 6 months and were associated with increased treatment utilization. CONCLUSIONS: Co-occurring substance misuse is associated with depression and with increased risk for poorer depression treatment outcomes under usual care conditions. Quality improvement programs can significantly reduce the likelihood of probable depressive disorders in depressed patients with and without comorbid substance misuse. No consistent evidence was found for a differential program-by-comorbidity effect except for a suggestion of greater increase in psychotherapy among individuals with no substance misuse.

Longitudinal patterns of alcohol, drug, and mental health need and care in a national sample of U.S. adults.

OBJECTIVE: Use of longitudinal data can help clarify the extent of persistent need for services or persistent problems in gaining access to services. This study examined the level of transient and persistent need and unmet need over time among respondents to a national survey and whether need was met by provision of mental health services or resolved without treatment. METHODS: Data from the longitudinal Health Care for Communities (HCC) household telephone survey were used to produce joint distributions of need status and care for two periods (wave 1 data collected in 1997 to 1998 and wave 2 data collected in 2000 to 2001; N=6,659). Perceived need was measured as self-report of need for help with a mental or substance use problem. Probable clinical need was assessed with the Composite International Diagnostic Interview, the Alcohol Use Disorders Identification Test, and the 12-item Short Form Health Survey. RESULTS: High levels of persistent unmet need for care (44 to 52 percent) were found among respondents who had probable clinical need in wave 1. Although a majority of those with need received some care, an equal proportion (about 30 percent) of those with perceived need only or probable clinical need in wave 1 did not receive any care. A substantial portion of need (22 to 26 percent) appears to have resolved without treatment, which may suggest high levels of transient need. CONCLUSIONS: Persistent patterns of unmet need represent important targets for policy and programs that can improve utilization, including outreach, education, and improved insurance coverage.

Unmet need for mental health care among U.S. children: variation by ethnicity and insurance status.

OBJECTIVE: Policy discussions regarding the mental health needs of children and adolescents emphasize a lack of use of mental health services among youth, but few national estimates are available. The authors use three national data sets and examine ethnic disparities in unmet need (defined as having a need for mental health evaluation but not using any services in a 1-year period) to provide such estimates. METHOD: The authors conducted secondary data analyses in three nationally representative household surveys fielded in 1996-1998: the National Health Interview Survey, the National Survey of American Families, and the Community Tracking Survey. They determined rates of mental health service use by children and adolescents 3-17 years of age and differences by ethnicity and insurance status. Among the children defined as in need of mental health services, defined by an estimator of mental health problems (selected items from the Child Behavior Checklist), they examined the association of unmet need with ethnicity and insurance status. RESULTS: In a 12-month period, 2%-3% of children 3-5 years old and 6%-9% of children and adolescents 6-17 years old used mental health services. Of children and adolescents 6-17 years old who were defined as needing mental health services, nearly 80% did not receive mental health care. Controlling for other factors, the authors determined that the rate of unmet need was greater among Latino than white children and among uninsured than publicly insured children. CONCLUSIONS: These findings reveal that most children who need a mental health evaluation do not receive services and that Latinos and the uninsured have especially high rates of unmet need relative to other children. Rates of use of mental health services are extremely low among preschool children. Research clarifying the reasons for high rates of unmet need in specific groups can help inform policy and clinical programs.