Association of adverse childhood experiences (ACEs) and substance use disorders (SUDs) in a multi-site safety net healthcare setting.

BACKGROUND: Adverse childhood experiences (ACEs) and substance use disorders (SUDs) are highly prevalent public health challenges that have been shown to be strongly correlated. Although previous research has suggested a dose-response relationship between ACEs and SUDs, less is known about this phenomenon and the prevalence of ACEs in lower income, racially/ethnically diverse populations. This study sought to examine these relationships in a population treated at a multi-site safety net provider. METHODS: The ACEs survey was delivered as a standard assessment to all behavioral health patients seen at a large Federally Qualified Health Center (FQHC) in Connecticut. 4378 patients completed the questionnaire. Both total score and individual ACE questions were correlated with diagnostic history, according to chi-square and multiple-group structural equation modeling tests. RESULTS: 84.8% of patients reported at least one ACE and 49.1% had an ACE score ≥ 4. Experiencing 1 or more ACEs predicted having any SUD, after controlling for race/ethnicity and gender. Parent substance use, physical abuse, and sexual abuse in particular were the strongest predictors of developing any SUD. Men and non-white individuals were more likely to develop an SUD with lower ACE scores than women and white individuals. CONCLUSIONS: While ACEs predict an increased likelihood of developing any SUD, the nature of this relationship differs by both gender and race/ethnicity. In this FQHC patient population there is no obvious dose-response relationship between ACEs and SUDs. Additional research is required to help understand why the relationship between ACEs and SUDs observed here differs from other populations.

Exploring Causes of Depression and Anxiety Health Disparities (HD) by Examining Differences between 1:1 Matched Individuals.

Poor comparability of social groups is one of the major methodological problems that threatens the validity of health disparities (HD) research findings. We illustrate a methodological solution that can additionally unpack the mechanisms behind differential effects on depression and anxiety. We describe racial/ethnic differences in the prevalence of depression and anxiety scores between Black and White women using classic methods, and then we illustrate a 1:1 matching procedure that allows for building of individual-level difference scores, i.e., actual HD difference score variables, for each pair of comparable participants. We compare the prevalence of depression disorder between Black and White young women after matching them 1:1 on common socio-economic characteristics (age, employment, education, and marital status). In essence, we follow matching or stratification methods, but make a step further and match cases 1:1 on propensity scores, i.e., we create Black⁻White 'dyads'. Instead of concluding from plain comparisons that 11% more White young women (18⁻30 years old) report a depressive disorder than Black young women, the matched data confirms the trend, but provides more nuances. In 27% of the pairs of comparable pairs the White woman was depressed (and the comparable Black woman was not), while in 15% of the pairs the Black woman was depressed (and the comparable White woman was not). We find that Black-to-White disparities in neighborhood disorder do not predict depression differences (HDs), while such an effect is evident for anxiety HDs. The 1:1 matching approach allows us to examine more complex HD effects, like differential mediational or resilience mechanisms that appear to be protective of Black women's mental health.

A cost-effectiveness analysis of cardiology eConsults for Medicaid patients.

OBJECTIVES: To evaluate the cost-effectiveness of electronic consultations (eConsults) for cardiology compared with traditional face-to-face consults. STUDY DESIGN: Cost-effectiveness analysis for a subset of Medicaid-insured patients in a cluster-randomized trial of eConsults versus the traditional face-to-face consultation process in a statewide federally qualified health center. METHODS: A total of 369 Medicaid patients were referred for cardiology consultations by primary care providers who were randomly assigned to use either eConsults or their usual face-to-face referral process. Primary care providers in the eConsult arm transmitted consults to cardiologists using a secure peer-to-peer communication platform in an electronic health record. Intention-to-treat analysis was used to assess the total cost of care and cost across 7 categories: inpatient, outpatient, emergency department, pharmacy, labs, cardiac procedures, and "all other." Costs are from the payer's perspective. RESULTS: Six months after the cardiology consult, patients in the eConsult group had significantly lower mean unadjusted total costs by $655 per patient, or lower mean costs by $466 per patient when adjusted for non-normality, compared with those in the face-to-face arm. The eConsult group had a significantly lower cost by $81 per patient in the outpatient cardiac procedures category. CONCLUSIONS: These findings suggest that eConsults are associated with total cost savings to payers due principally to reductions in the cost of cardiac outpatient procedures.

College students and HIV testing: cognitive, emotional self-efficacy, motivational and communication factors.

Most college students have never been tested for HIV, even though they regularly have unprotected sex and multiple sex partners. Theory-based research addressing factors influencing HIV testing among college students is limited. This study explored this topic via a conceptual framework that integrates the health belief model with emotion and communication factors. Data was collected with a sample of four focus group panels, including two male and two female groups (N = 52). Transcripts for the seven discussion questions were produced based on the audio recordings of group sessions. Two research assistants reviewed, summarized and cross-validated the discussion content to address each of the four research questions under study. Students believe HIV to be a severe health threat, but feel 'invincible' about contracting the virus. Their low emotional self-efficacy is a barrier for adopting HIV testing. Gaining social approval and emotional support for making a testing decision can help them overcome the perceived fear, stigma and lack of response efficacy associated with taking the test. Students are open to receiving cues to action via confidential HIV-testing related communication from health professionals or important others as well as media messaging from various sources. Bridging the perceptual-emotional gap between perceived invulnerability and fear can help increase emotional self-efficacy in coping with HIV testing. Normalizing HIV testing as a primary care routine for harm avoidance/reduction will increase perceived benefits of testing. Communicating cues to action will help reinforce HIV testing as a societally approved and socially supported protective behavioral norm.

Improving pain care through implementation of the Stepped Care Model at a multisite community health center.

PURPOSE: Treating pain in primary care is challenging. Primary care providers (PCPs) receive limited training in pain care and express low confidence in their knowledge and ability to manage pain effectively. Models to improve pain outcomes have been developed, but not formally implemented in safety net practices where pain is particularly common. This study evaluated the impact of implementing the Stepped Care Model for Pain Management (SCM-PM) at a large, multisite Federally Qualified Health Center. METHODS: The Promoting Action on Research Implementation in Health Services framework guided the implementation of the SCM-PM. The multicomponent intervention included: education on pain care, new protocols for pain assessment and management, implementation of an opioid management dashboard, telehealth consultations, and enhanced onsite specialty resources. Participants included 25 PCPs and their patients with chronic pain (3,357 preintervention and 4,385 postintervention) cared for at Community Health Center, Inc. Data were collected from the electronic health record and supplemented by chart reviews. Surveys were administered to PCPs to assess knowledge, attitudes, and confidence. RESULTS: Providers' pain knowledge scores increased to an average of 11% from baseline; self-rated confidence in ability to manage pain also increased. Use of opioid treatment agreements and urine drug screens increased significantly by 27.3% and 22.6%, respectively. Significant improvements were also noted in documentation of pain, pain treatment, and pain follow-up. Referrals to behavioral health providers for patients with pain increased by 5.96% (P=0.009). There was no significant change in opioid prescribing. CONCLUSION: Implementation of the SCM-PM resulted in clinically significant improvements in several quality of pain care outcomes. These findings, if sustained, may translate into improved patient outcomes.

A Review of Graphical Approaches to Common Statistical Analyses: The Omnipresence of Latent Variables in Statistics.

We provide a comprehensive review of simple and advanced statistical analyses using an intuitive visual approach explicitly modeling Latent Variables (LV). This method can better illuminate what is assumed in each analytical method and what is actually estimated, by translating the causal relationships embedded in the graphical models in equation form. We recommend the graphical display rooted in the century old path analysis, that details all parameters of each statistical model, and suggest labeling that clarifies what is given vs. what is estimated. We link in the process classical and modern analyses under the encompassing broader umbrella of Generalized Latent Variable Modeling, and demonstrate that LVs are omnipresent in all statistical approaches, yet until directly 'seeing' them in visual graphical displays, they are unnecessarily overlooked. The advantages of directly modeling LVs are shown with examples of analyses from the ActiveS intervention designed to increase physical activity.

Statistical Power of Alternative Structural Models for Comparative Effectiveness Research: Advantages of Modeling Unreliability.

The advantages of modeling the unreliability of outcomes when evaluating the comparative effectiveness of health interventions is illustrated. Adding an action-research intervention component to a regular summer job program for youth was expected to help in preventing risk behaviors. A series of simple two-group alternative structural equation models are compared to test the effect of the intervention on one key attitudinal outcome in terms of model fit and statistical power with Monte Carlo simulations. Some models presuming parameters equal across the intervention and comparison groups were underpowered to detect the intervention effect, yet modeling the unreliability of the outcome measure increased their statistical power and helped in the detection of the hypothesized effect. Comparative Effectiveness Research (CER) could benefit from flexible multi-group alternative structural models organized in decision trees, and modeling unreliability of measures can be of tremendous help for both the fit of statistical models to the data and their statistical power.

Comparisons of CES-D depression scoring methods in two older adults ethnic groups. The emergence of an ethnic-specific brief three-item CES-D scale.

OBJECTIVE: To compare the reliabilities and convergent validities of five CES-D (Center for Epidemiologic Studies Depression) composite scores in two ethnic/racial groups of community-dwelling older adults. DESIGN: CES-D measurement equivalence was tested with Structural Equation Modeling in Puerto-Rican (PR) and African American (AA) older adults, then reliabilities of five composite scores and their convergent validities were compared. FINDINGS: Bayesian CES-D scores had the highest reliabilities, followed by software estimated factor scores, the unit weight, and the weighted scores. Bayesian CES-D scores, factor scores, and surprisingly a group-specific three-item brief CES-D score exhibited better convergent validity than the unit-weight and weighted CES-D scores. CONCLUSIONS: An ethnic group-specific three-item brief CES-D score emerged as a reliable CES-D measure in PR and AA older adults. We conclude that practitioners could emphasize three main symptoms in individual older adults in screening for depression, and researchers can model with confidence the relationships between the CES-D brief scale and its correlates.

The impact of information about the female condom on female condom use among males and females from a US urban community.

This study investigates the impact of exposure to information about a relatively new prevention method, the female condom (FC), on actual FC use in a community of adults at risk of HIV/STI. A community-wide survey from a mid-size US city is used to estimate unbiased effects of information about the FC on FC use among sexually active men and women. To control for potential confounders we use propensity score matching (PSM) which matches the group exposed to FC information to participants who were not exposed, achieving a statistical quasi-randomization in terms of ten measured confounders. Comparisons of exposed to unexposed participants matched on their propensity scores conclude that information about the FC increases initiation of FC use, such that eleven percent more of the men and women who receive FC information reported ever using the FC. We demonstrate the use of PSM and illustrate some of its strengths and limitations.