Research

BHL

The BHL

The Behavioral Health Lab (BHL) functions as a computational "dry lab" dedicated to advancing behavioral health research and informing behavioral health workforce policy through rigorous data science. We utilize systematic methods to investigate questions of interest to the field of behavioral health, translating complex data into actionable discoveries and evidence-based recommendations.

Our Research Approach

Researchers in the BHL leverage comprehensive, real-world data from diverse sources to study the prevalence, risk factors, and outcomes of various mental health conditions. Our methodology integrates robust data analytics with an understanding of population health dynamics.

Key Data Sources

The BHL primarily uses longitudinal data from several sources:

  • Electronic Medical Records (EMR) data from the NIH All of Us Research Program provide a vast, diverse dataset to help researchers examine complex health and behavioral health issues.
  • Survey data collected directly from All of Us and community participants.
  • Community data acquired through community-engaged data collection efforts provides crucial context on environmental and social factors influencing mental health and behavioral health services.

Impact and Policy Focus

A core function of the BHL is to analyze these combined datasets to inform and evaluate behavioral health workforce policy. By identifying needs, disparities, and effective interventions, our findings provide the evidence base for strategic leadership and policy development to improve mental health services and patient outcomes.

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AoU Research

Using large longitudinal datasets from a diverse cohort to examine precision behavioral medicine, psychosocial determinants of health outcomes, and longitudinal changes from behavioral interventions.

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Behavioral Health Workforce

Studying people, systems, and policies that shape the delivery of mental health and substance use services.

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Reproducibility in Psychology

The reproducibility initiative in psychology examines how often major findings in psychology can be replicated using rigorous, transparent methods.

Recent Publications

  • Matacotta, Joshua J., Derek Tran, and Sonyeol Yoon. 2024. “The Prevalence of Major Depressive Disorder in People With HIV: Results from the All of Us Research Program”. HIV Medicine. https://doi.org/https://doi.org/10.1111/hiv.13653.

    Objectives

    The All of Us (AoU) Research Program is a national-scale effort to build a dataset to help transform the future of health research by equipping researchers with comprehensive health data from diverse populations, especially those underrepresented in biomedical research. Our objectives were to evaluate the burden of HIV and major depressive disorder (MDD) in underrepresented groups and the frequency of the HIV/MDD comorbidity.

    Methods

    We conducted a cross-sectional analysis combining collected survey and electronic health record (EHR) data. We ascertained HIV and MDD cases using Observational Medical Outcomes Partnership codes. We used multivariable logistic regression to obtain the odds ratio of HIV in AoU participants and MDD in AoU participants with HIV.

    Results

    The latest AoU data release includes 412 211 participants: 254 700 have at least one medical condition concept in their EHR, of whom 5193 (1.3%) had HIV, and 2238 (43%) of those with HIV had a diagnosis of MDD. Black AoU participants had approximately 4.58 times the odds of having an HIV diagnosis compared with the combined odds of all other racial groups. AoU participants with HIV were more likely to have MDD (p = 0.001) than were participants without HIV.

    Conclusion

    Among AoU participants, Black individuals have a disproportionately high burden of HIV, pointing to underlying factors such as social determinants of health, limited access to healthcare or prevention resources, and potential systemic biases that contribute to these differences. In addition, HIV is a risk factor for mental health issues like MDD. Further data collection from people with HIV will elucidate contributing factors and the need for interventions.

  • Novak, Briana, Kiana Panbechi, and Joshua J. Matacotta. 2021. “Knowledge and Risk Perception about Hepatitis C: Preliminary Evidence from a Cross-Sectional Study of Adults Living in Louisiana”. In 2021 Western Medical Research Conference, 69:103-296.

    Overview of Key Findings

    Low Screening Rates: Only about 35–36% of respondents reported ever being tested for HCV, while more than 60% had never been screened. The most common reasons for not testing were believing they were not at risk and never receiving a provider recommendation

    Knowledge Gaps: Although nearly all participants (≈98%) had heard of HCV, 65–67% had never heard of direct-acting antivirals (DAAs) and did not know HCV was curable

    Generational Risk Awareness: About one-quarter of untested participants were from the Baby Boomer generation, a population at increased risk according to CDC guidelines

    Perceived Stigma: Roughly 75% of HCV-positive participants and two-thirds of HCV-negative/unknown participants believed people with HCV would be treated differently if they disclosed their status, and nearly 70% believed shame keeps people from seeking treatment

    Health Perception: A majority (≈80–83%) reported their health as excellent, very good, or good, and this correlated with lower perceived risk of infection

  • Collaboration, Center for Open Science. (2015) 2015. “Estimating the Reproducibility of Psychological Science”. Science 349 (6251).

    Reproducibility is a defining feature of science, but the extent to which it characterizes current research is unknown. We conducted replications of 100 experimental and correlational studies published in three psychology journals using high-powered designs and original materials when available. Replication effects were half the magnitude of original effects, representing a substantial decline. Ninety-seven percent of original studies had statistically significant results. Thirty-six percent of replications had statistically significant results; 47% of original effect sizes were in the 95% confidence interval of the replication effect size; 39% of effects were subjectively rated to have replicated the original result; and if no bias in original results is assumed, combining original and replication results left 68% with statistically significant effects. Correlational tests suggest that replication success was better predicted by the strength of original evidence than by characteristics of the original and replication teams.

  • Matacotta, Joshua, Francisco Rosales-Perez, and Christian M Carrillo. 2020. “HIV Preexposure Prophylaxis and Treatment As Prevention — Beliefs and Access Barriers in Men Who Have Sex With Men (MSM) and Transgender Women: A Systematic Review”. Journal of Patient-Centered Research and Reviews 7: 265-74.

    Purpose

    While the annual rate of new HIV infections and diagnoses has remained stable for most groups, troubling increases are seen in transgender women and racial/ethnic-minority men who have sex with men (MSM), groups that are disproportionately affected by HIV. The primary purpose of this systematic review is to examine factors that impact attitudes and beliefs about preexposure prophylaxis (PrEP) and treatment as prevention (TasP) and to explore barriers to PrEP uptake in MSM and transgender women.

    Methods

    Using MeSH terms and relevant keywords, we conducted a systematic review of studies published between 2010 and 2019. We searched 4 literature databases and identified studies on MSM and transgender women to elucidate perceptions of PrEP and TasP as well as barriers to access.

    Results

    The search yielded several prominent themes associated with beliefs about HIV prevention approaches and barriers to PrEP access in MSM and transgender women. One was a lack of awareness or insufficient knowledge of PrEP and TasP. Structural barriers and geographic isolation also prevent access to HIV prevention. Sexual minority and HIV-related stigma, internalized homonegativity, and misinterpretations of messages within HIV prevention campaigns have negatively impacted PrEP uptake and beliefs about PrEP and TasP. Quality of the relationship MSM or transgender people have with their health care provider can facilitate or hinder HIV prevention. Finally, variability in beliefs about the efficacy of TasP has negatively affected the impact of TasP messaging campaigns.

    Conclusions

    Although there is evidence of increasing PrEP use in at-risk individuals, several barriers prevent wider acceptance and uptake. Misunderstanding about the meaning of “undetectable” and skepticism about the evidence behind TasP messaging campaigns are likely to delay the World Health Organization’s stated goal of getting to zero transmissions.

    Keywords: HIV, preexposure prophylaxis, MSM, transgender women, treatment as prevention

The Behavioral Health Lab

Housed in the College of Health Sciences, the BHL aims to advance behavioral health research and inform behavioral health workforce policy through rigorous data science.