A5077742098- Health disparities and outcomes
- Food Security and Health in Diverse Populations
- COVID-19 epidemiological studies
- Suicide and Self-Harm Studies
- Medication Adherence and Compliance
- Pharmaceutical Practices and Patient Outcomes
- Schizophrenia research and treatment
- COVID-19 and Mental Health
- Health Systems, Economic Evaluations, Quality of Life
- Emergency and Acute Care Studies
- Homelessness and Social Issues
- Tryptophan and brain disorders
- Primary Care and Health Outcomes
- Mental Health Research Topics
- Mental Health via Writing
- Chronic Disease Management Strategies
- Climate Change and Health Impacts
- Healthcare Policy and Management
- Blood Pressure and Hypertension Studies
- Autopsy Techniques and Outcomes
- Mental Health Treatment and Access
- Bipolar Disorder and Treatment
- Health Promotion and Cardiovascular Prevention
- Digital Mental Health Interventions
- Gun Ownership and Violence Research
Johns Hopkins University
2020-2024
University of Maryland, Baltimore
2016-2020
Harvard University
2020
St Christopher's Hospice
2017
<bold>Introduction:</bold> The spread of Coronavirus Disease 2019 (COVID-19) across the United States has highlighted long-standing nationwide health inequalities with socioeconomically challenged communities experiencing a higher burden disease. We assessed impact neighborhood socioeconomic characteristics on COVID-19 prevalence seven selected states (i.e., Arizona, Florida, Illinois, Maryland, North Carolina, South and Virginia). <bold>Methods:</bold> obtained cumulative cases reported at...
Oxidative stress is implicated in many diseases yet no simple, rapid, and robust measurement available at the point-of-care to assist clinicians detecting oxidative stress. Here, we report results from a discovery-based research approach which redox mediator used probe serum samples for chemical information relevant Specifically, use an iridium salt (K
Abstract Background The spread of COVID-19 has highlighted the long-standing health inequalities across U.S. as neighborhoods with fewer resources were associated higher rates transmission. Although stay-at-home order was one most effective methods to contain its spread, residents in lower-income faced barriers practicing social distancing. We aimed quantify differential impact policy on transmission and residents’ mobility different levels socioeconomic disadvantage. Methods This a...
While clozapine (CLZ) is the most effective antipsychotic drug for schizophrenia treatment, it remains underused. In order to understand barriers of frequent blood draws white cell counts (WBCs) and levels, we developed a psychiatrist survey began an integrative approach designing point-of-care device that could eventually have real-time monitoring with immediate results.We ascertained related CLZ management acceptance possible solutions by sending anonymous physicians in psychiatric...
The COVID-19 pandemic has impacted communities differentially, with poorer and minority populations being more adversely affected. Prior rural health research suggests such disparities may be exacerbated during the in remote parts of U.S.To understand spread impact across U.S., county level data for confirmed cases were examined by Area Deprivation Index (ADI) Metropolitan vs. Nonmetropolitan designations from National Center Health Statistics (NCHS). These basis making comparisons between...
Background Patients with unmet social needs and determinants of health (SDOH) challenges continue to face a disproportionate risk increased prevalence disease, care use, higher costs, worse outcomes. Some existing predictive models have used the available data on SDOH predict health-related or need for various service referrals. Despite these one-off efforts, work date suggests that many technical organizational must be surmounted before SDOH-integrated solutions can implemented an ongoing,...
Abstract Aim Brief screening and predictive modeling have garnered attention for utility at identifying individuals risk of suicide. Although previous research has investigated these methods, little is known about how methods compare against each other or work in combination the pediatric population. Methods Patients were aged 8–18 years old who presented from January 1, 2017, to June 30, 2019, a Pediatric Emergency Department (PED). All patients screened with Ask Suicide Questionnaire (ASQ)...
Abstract Although digital health solutions are increasingly popular in clinical psychiatry, one application that has not been fully explored is the utilization of survey technology to monitor patients outside clinic. Supplementing routine care with information collected “clinical whitespace” between visits could improve for severe mental illness. This study evaluated feasibility and validity using online self-report questionnaires supplement in-person evaluations persons without psychiatric...
Abstract Objectives To develop and test a scalable, performant, rule-based model for identifying 3 major domains of social needs (residential instability, food insecurity, transportation issues) from the unstructured data in electronic health records (EHRs). Materials Methods We included patients aged 18 years or older who received care at Johns Hopkins Health System (JHHS) between July 2016 June 2021 had least 1 (free-text) note their EHR during study period. used combination manual lexicon...
Background: Clozapine is the most effective antipsychotic for treatment-resistant schizophrenia. Although serum clozapine levels can help guide treatment, they are underutilized owing to requirements frequent venous blood draws and lack of immediate results. Methods: measured with a novel immunoassay technology (which enables point-of-care development) were compared those by standard liquid chromatography/tandem mass spectrometry (LC-MS/MS). Frozen aliquots 117 samples (N = 48 patients...
BACKGROUND: Patient effort to comply with complex medication instructions is known be related nonadherence and subsequent medical complications or health care costs. A widely used Medication Regimen Complexity Index (MRCI) has been electronic records (EHRs) identify patients who could benefit from pharmacist intervention. similar claims-derived measure may better suited for clinical decision support, since claims offer a more complete view of patient utilization. OBJECTIVE: To define...
BACKGROUND: Pharmacists optimize medication use and ensure the safe effective delivery of pharmacotherapy to patients using comprehensive management (CMM). Identifying prioritizing individual who will most likely benefit from CMM can be challenging. Health systems have far more candidates for than there are clinical pharmacists provide this service. Furthermore, current evidence lacks widely accepted standards or automated mechanisms identifying would a pharmacist consultation. Existing...
Nearly 50,000 Americans die each year from suicide, despite suicide death being a rare event in the context of health risk assessment and modeling. Prior research has underscored need for contextualizing models terms their potential uses generalizability. This sensitivity analysis makes use Maryland Suicide Data Warehouse (MSDW) illustrates how results inform clinical decision support.
Background Social needs and social determinants of health (SDOH) significantly outrank medical care when considering the impact on a person’s length quality life, resulting in poor outcomes worsening life expectancy. Integrating SDOH data along with clinical risk information within operational decision support (CDS) systems built into electronic records (EHRs) is an effective approach to addressing health-related needs. To achieve this goal, applied research needed develop EHR-integrated CDS...
<sec> <title>BACKGROUND</title> Social needs and social determinants of health (SDOH) significantly outrank medical care when considering the impact on a person’s length quality life, resulting in poor outcomes worsening life expectancy. Integrating SDOH data along with clinical risk information within operational decision support (CDS) systems built into electronic records (EHRs) is an effective approach to addressing health-related needs. To achieve this goal, applied research needed...
Abstract Objective To improve the performance of a social risk score (a predictive model) using electronic health record (EHR) structured and unstructured data. Materials Methods We used EPIC-based EHR data from July 2016 to June 2021 linked it community-level US Census American Community Survey. identified predictors interest within applied natural language processing (NLP) techniques identify patients’ needs in performed logistic regression models with without information (Models I II)...