Background: Efforts to reduce the risk of opioid misuse are often focused on reducing unnecessary prescriptions for opioid medications or reducing the dose prescribed; however, not all misuse occurs in individuals with a personal prescription. This study examined trends in the proportion of adolescents and young adults (AYAs) who had an opioid-related problem (ORP) and who also had a personal opioid prescription drug claim or had a family member with an opioid prescription drug claim prior to the ORP diagnosis. Methods: A retrospective cohort design was used to analyze longitudinal claims data. We identified individuals aged 12 to 25 years who had a newly diagnosed ORP in the years 2006 to 2014. Trends over time in personal or family opioid prescription drug claims within 1 year prior to ORP diagnosis were examined. Results: We identified 53,560 AYAs with an ORP diagnosis. Over the entire study period, 40% of AYAs with an ORP diagnosis had a personal opioid prescription in the year prior to diagnosis, and 48% had a family member with an opioid prescription in the prior year. While the proportion of AYAs with a family prescription remained constant, the proportion with a personal prescription fell from 77.1% in 2006 to 27.3% in 2014. Conclusions: The number of AYAs with an ORP increased over time, yet the proportion with a personal opioid prescription claim prior to their diagnosis decreased over time. This suggests that providers are paying greater attention to prescribing opioids to AYAs directly, although prescriptions to family members may still remain a point of access.

Little is known about the extent to which the prevalence of opioid-related problems (ORPs) varies among U.S. adolescents and young adults across geographic regions and over time, information that can help to guide policies that aim to curb the opioid epidemic. A retrospective, cross-sectional design was used to analyze longitudinal claims data from privately insured individuals aged 12–64 years who had an outpatient or inpatient diagnosis of an ORP in the years 2005–2018. The prevalence of opioid-related problem diagnoses (per 10,000) varied considerably across census divisions, both over time and between age groups. Knowledge of the origin of and variation in diagnosed opioid-related problems in terms of age group and census division is important so that interventions and policies can be more targeted and effective.

Background This study describes a collaborative planning approach that blends principles of community-based participatory research (CBPR) and intervention mapping to modify a healthcare manager intervention to a new patient population and provider group and to assess the feasibility and acceptability of this modified intervention to improve the physical health of Hispanics with serious mental illness (SMI) and at risk for cardiovascular disease (CVD). Methods The proposed study uses a multiphase approach that applies CBPR principles and intervention-mapping steps--an intervention-planning approach--to move from intervention planning to pilot testing. In phase I, a community advisory board composed of researchers and stakeholders will be assembled to learn and review the intervention and make initial modifications. Phase II uses a combination of qualitative methods--patient focus groups and stakeholder interviews--to ensure that the modifications are acceptable to all stakeholders. Phase III uses results from phase II to further modify the intervention, develop an implementation plan, and train two care managers on the modified intervention. Phase IV consists of a 12-month open pilot study (N = 30) to assess the feasibility and acceptability of the modified intervention and explore its initial effects. Lastly, phase V consists of analysis of pilot study data and preparation for future funding to develop a more rigorous evaluation of the modified intervention. Discussion The proposed study is one of the few projects to date to focus on improving the physical health of Hispanics with SMI and at risk for CVD by using a collaborative planning approach to enhance the transportability and use of a promising healthcare manager intervention. This study illustrates how blending health-disparities research and implementation science can help reduce the disproportionate burden of medical illness in a vulnerable population.

Objective: This study examined how two key processof-care tasks of the collaborative care model (CCM) predict patient depression outcomes. Methods: Registry data were from a large implementation of the CCM in Washington State and included 5,439 patientepisodes for patients age 18 or older with a baseline Patient Health Questionnaire-9 (PHQ-9) score of 10 and at least one follow-up contact with the CCM care manager within 24 weeks of initial contact. Key CCM tasks examined were at least one care manager follow-up contact within four weeks of initial contact and at least one psychiatric consultation between weeks 8 and 12 for patients not responding to treatment by week 8. Clinically significant improvement in depression symptoms was defined as achieving a PHQ-9 score of ,10 or a 50% or more reduction in PHQ-9 score compared with baseline. Bivariate and multivariate (logistic and proportional hazard models) analyses were conducted to examine how fidelity with either task predicted outcomes. All analyses were conducted with the original sample and with a propensity score-matched sample. Results: Four-week follow-up was associated with a greater likelihood of achieving improvement in depression (odds ratio [OR]=1.63, 95% confidence interval [CI]=1.23-2.17) and a shorter time to improvement (hazard ratio=2.06, CI=1.67-2.54). Psychiatric consultation was also associated with a greater likelihood of improvement (OR=1.44, CI=1.13-1.84) but not with a shorter time to improvement. Propensity score-matched analysis yielded very similar results. Conclusions: Findings support efforts to improve fidelity to the two process-of-care tasks and to include these tasks among quality measures for CCM implementation.

Background: Among working age adults in the United States, there is a large, heterogeneous population that requires ongoing and elevated levels of healthcare and related services. At present, there are conflicting approaches to the definition and measurement of this population in health services research. Objective: An expert panel was convened by the National Institutes of Health with the objective of developing a population-level definition of Adults with Chronic Healthcare Needs (ACHCN). In addition, the panel developed a screening instrument and methods for its use in health surveys to identify and stratify the population consistently. Methods: The panel employed multiple methods over the course of the project, including scoping literature reviews, quantitative analyses from national data sources and cognitive testing. Results: The panel defined the ACHCN population as “Adults (age 18–65) with [1] ongoing physical, cognitive, or mental health conditions or difficulties functioning who [2] need health or related support services of a type or amount beyond that needed by adults of the same sex and similar age.” The screener collects information on chronic health conditions, functional difficulties, and elevated use of or unmet need for healthcare services. Conclusions: Adapted from the Maternal and Child Health Bureau definition that identifies Children with Special Healthcare Needs, aligned with the ACS-6 disability measure, and consistent with the HHS Multiple Chronic Condition Framework, this definition and screener provide the research community with a common denominator for the identification of ACHCN.

Background:There is a concerted effort underway to evaluate and reform our nation's approach to the health of people with ongoing or elevated needs for care, particularly persons with chronic conditions and/or disabilities. Objective: This literature review characterizes the current state of knowledge on the measurement of chronic disease and disability in population-based health services research on working age adults (age 18–64). Methods: Scoping review methods were used to scan the health services research literature published since the year 2000, including medline, psycINFO and manual searches. The guiding question was: “How are chronic conditions and disability defined and measured in studies of healthcare access, quality, utilization or cost?” Results: Fifty-five studies met the stated inclusion criteria. Chronic conditions were variously defined by brief lists of conditions, broader criteria-based lists, two or more (multiple) chronic conditions, or other constructs. Disability was generally assessed through ADLs/IADLs, functional limitations, activity limitations or program eligibility. A smaller subset of studies used information from both domains to identify a study population or to stratify it by subgroup. Conclusions: There remains a divide in this literature between studies that rely upon diagnostically-oriented measures and studies that instead rely on functional, activity or other constructs of disability to identify the population of interest. This leads to wide ranging differences in population prevalence and outcome estimates. However, there is also a growing effort to develop methods that account for the overlap between chronic disease and disability and to “segment” this heterogeneous population into policy or practice relevant subgroups.

Objective: We developed a measure of allostatic load from electronic medical records (EMRs), which we named “Index of Cardiometabolic Health” (ICMH). Methods: Data were collected from participants’ EMRs and a written survey in 2005. We computed allostatic load scores using the ICMH score and two previously described approaches. Results: We included 1865 employed adults who were 25–59 years old. Although the magnitude of the association was small, all methods of were predictive of SF-12 physical component subscales (all p < 0.001). Conclusion: We found that the ICMH had similar relationships with health-related quality of life as previously reported in the literature.

Objectives Persons with serious mental illnesses (SMI) have elevated rates of comorbid medical conditions, but may also face challenges in effectively managing those conditions. Methods The study team developed and pilot-tested the Health and Recovery Program (HARP), an adaptation of the Chronic Disease Self-Management Program (CDSMP) for mental health consumers. A manualized, six-session intervention, delivered by mental health peer leaders, helps participants become more effective managers of their chronic illnesses. A pilot trial randomized 80 consumers with one or more chronic medical illness to either the HARP program or usual care. Results At six month follow-up, participants in the HARP program had a significantly greater improvement in patient activation than those in usual care (7.7% relative improvement vs. 5.7% decline, p=0.03 for group*time interaction), and in rates of having one or more primary care visit (68.4% vs. 51.9% with one or more visit, p=0.046 for group*time interaction). Intervention advantages were observed for physical health related quality of life (HRQOL), physical activity, medication adherence, and, and though not statistically significant, had similar effect sizes as those seen for the CDSMP in general medical populations. Improvements in HRQOL were largest among medically and socially vulnerable subpopulations. Conclusions This peer-led, medical self-management program was feasible and showed promise for improving a range of health outcomes among mental health consumers with chronic medical comorbidities. The HARP intervention may provide a vehicle for the mental health peer workforce to actively engage in efforts to reduce morbidity and mortality among mental health consumers.

Introduction: Area-level residential instability (ARI), an index of social fragmentation, has been shown to explain the association between urbanicity and psychosis. Urban upbringing has been shown to be associated with reduced gray matter volumes (GMV)s of brain regions corresponding to the right caudal middle frontal gyrus (CMFG) and rostral anterior cingulate cortex (rACC). We hypothesize that greater ARI will be associated with reduced right CMFG and rACC GMVs. Methods: Data were collected at baseline as part of the North American Prodrome Longitudinal Study Phase 2. Counties where participants resided during childhood were geographically coded using the US Census to area-level factors. ARI was defined as the percentage of residents living in a different house 5 years ago. Generalized linear mixed models tested associations between ARI and GMVs. Results: This study included 29 healthy controls (HC)s and 64 clinical high risk for psychosis (CHR-P) individuals who were aged 12 to 24 years, had remained in their baseline residential area, and had magnetic resonance imaging scans. ARI was associated with reduced right CMFG (adjusted β = −0.258; 95% CI = −0.502 to −0.015) and right rACC volumes (adjusted β = −0.318; 95% CI = −0.612 to −0.023). The interaction term (ARI-by-diagnostic group) in the prediction of both brain regions was not significant, indicating that the relationships between ARI and regional brain volumes held for both CHR-P and HCs. Conclusions: ARI may adversely impact similar brain regions as urban upbringing. Further investigation into the potential mechanisms of the relationship between ARI and neurobiology, including social stress, is needed.

Objective: Racial/ethnic differences in the course of treatment for a major depressive episode (MDE) among adolescents may arise, in part, from variation in the perceived rationale for treatment. We examined racial/ethnic differences in the perceived reasons for receiving mental health (MH) treatment among adolescents with an MDE. Method: A total of 2,789 adolescent participants who experienced an MDE and received MH treatment in the past year were drawn from the 2005 to 2008 National Survey on Drug Use and Health. Adolescents reported the settings in which they received care and reasons for their most recent visit to each setting. Distributions of specific depressive symptoms were compared across racial/ethnic groups. Racial/ethnic differences in endorsing each of 11 possible reasons for receiving treatment were examined using weighted probit regressions adjusted for sociodemographic characteristics, health and mental health status, treatment setting, and survey year. Results: Despite similar depressive symptom profiles, Hispanic adolescents were more likely than whites to endorse "breaking rules" or getting into physical fights as reasons for MH treatment. Black adolescents were more likely than white adolescents to endorse "problems at school" but less likely to endorse "felt very afraid or tense" or "eating problems" as reasons for treatment. Asian adolescents were more likely to endorse "problems with people other than friends or family" but less likely than whites to endorse "suicidal thoughts/attempt" and "felt depressed" as reasons for treatment. Conclusion: Racial/ethnic minority participants were more likely than white participants to endorse externalizing or interpersonal problems and less likely to endorse internalizing problems as reasons for MH treatment. Understanding racial/ethnic differences in the patient's perceived treatment rationale can offer opportunities to enhance outcomes for depression among diverse populations.