Yuri Tertilus Jadotte, MD, PhD
Yuri Tertilus Jadotte, MD, PhD

Track
Urban Health

E-Mail
yuri.jadotte@rutgers.edu

Work Position
Assistant Professor, Division of Nursing Science, Rutgers School of Nursing

Assistant Director of Education, Northeast Institute for Evidence Synthesis and Translation (NEST), Rutgers School of Nursing

Assistant Professor, Department of Epidemiology, Rutgers School of Public Health

Date passed dissertation defense
April 4, 2016



Biography

With extensive expertise in evidence-based medicine, Yuri Jadotte serves as Assistant Director of Education of the Northeast Institute for Evidence Synthesis and Translation (NEST) at the Rutgers School of Nursing. NEST was established in 2004 as a collaborating center of the Joanna Briggs Institute (JBI), and is internationally recognized as a center of excellence in evidence-based healthcare research.

Motivated by a drive to help the less fortunate, and having experienced the devastating effects of the 2010 earthquake on families and communities in Haiti, Dr. Jadotte pursued and completed the PhD in Urban Systems, a joint program at Rutgers University and the New Jersey Institute of Technology, complementing his interest in preventive medicine with the pursuit of this PhD on the relationship of the social and physical environment with health and wellness.  His research interests in that field include: improving preventive health and services for urban socioeconomically disadvantaged populations; studying the relationship between urbanization, urbanism and chronic diseases; and quantifying the effects of urban life on healthcare and population health outcomes. Dr. Jadotte also devotes a significant amount of his scholarly time to research on interprofessional collaborative practice, evidence-based healthcare, systematic review and meta-analysis methodology, comparative effectiveness research, the impact of social determinants on health outcomes, and the social construction of health.

As a member of the Cochrane Collaboration, he is currently the lead author of international teams of physician-scientists for two Cochrane systematic review research projects entitled “Interventions for Cutaneous Sarcoidosis” and “Complementary and Alternative Medicine Treatments for Atopic Eczema.”  The latter is partially funded by the National Center for Complementary and Alternative Medicine (NCCAM). He is also the lead research methodologist and second author on another Cochrane international team of nine physician-scientists for the research project “Hygiene and Emollient Interventions to Maintain Skin Integrity in Older People in Hospital and Residential Care Settings.” 

Dr. Jadotte is the principal investigator on an AHRQ R03 grant-funded research project entitled “Clinical predictive value of systematic review with meta-analysis for future research on patients with multiple chronic conditions: a demonstration project using the case of preventive statin therapy”, where he and his team are developing a new approach for analyzing data on populations with multiple comorbidities using systematic review and meta-analysis methodology. In addition, Dr. Jadotte is the principal investigator for the Rutgers School of Nursing endowment-funded project entitled “Comparing the synthesis of primary economic evaluations and economic modeling to improve equity in healthcare policy and health decision-making: a feasibility pilot study using the case of Mohs micrographic surgery for non-melanoma skin cancer.” In this project, he is evaluating how well two different research methods can be used to answer the singularly important question of what is the true cost effectiveness of healthcare interventions.

Dr. Jadotte earned his bachelor’s degree in molecular biology with a minor in chemistry in 2006 from Montclair State University in New Jersey, where he received the highest honors for outstanding academic and leadership accomplishments in his major, his department and the university as a whole, and his doctorate in medicine in 2010 with honors at the Rutgers (formerly UMDNJ) New Jersey Medical School. He is currently completing his residency training in Preventive Medicine, specializing in general preventive medicine and public health, at the Stony Brook University School of Medicine, where he is also pursuing a Master of Public Health degree, with a concentration on health policy and management.

Selected Publications

Sun, E. Y., Jadotte, Y. T., & Halperin, W. (2017). Disparities in Cardiac Rehabilitation Participation in the United States: A systematic review and meta-analysis. Journal of cardiopulmonary rehabilitation and prevention, 37(1), 2-10.

Jadotte, Y. T., Chase, S. M., Qureshi, R. I., Holly, C., & Salmond, S. (2017). The HCAHPS Survey as a Potential Tool for Measuring Organizational Interprofessional Competency at American Hospitals Nationwide: A Content Analysis Study of Concept Validity. Health and Interprofessional Practice, 3(2), 1.

Benenson, I., Jadotte, Y., & Echevarria, M. (2017). Factors influencing utilization of hospital services by adult sickle cell disease patients: a systematic review. JBI Database of Systematic Reviews and Implementation Reports, 15(3), 765-808.

Tokede, O., Jadotte, Y., & Tounsi, A. (2016). Efficacy of Ozone as an Adjunctive Anti-microbial in the Non-surgical Treatment of Chronic and Aggressive Periodontitis-Part 2: Review Findings and Meta-analysis. International Journal of Dental Sciences and Research, 4(2), 28-34.

Gomersall, J. S., Jadotte, Y. T., Xue, Y., Lockwood, S., Riddle, D., & Preda, A. (2015). Conducting systematic reviews of economic evaluations. International journal of evidence-based healthcare, 13(3), 170-178.

 

Title of the Dissertation

Understanding the association between interprofessional collaborative practice and patient health outcomes in urban settings: a mixed methods study

Abstract
Collaboration among different healthcare professionals consists of effective teamwork and communication that involves patients and families, and is based on a clear understanding of each others’ roles and responsibilities on the healthcare team, and a deep appreciation for the value that all professions bring to patient care. Yet it is still unclear how this collaboration works to influence patient health and wellness, especially for disadvantaged urban populations. This study sought to elucidate this phenomenon using both qualitative and quantitative methods. The qualitative component of the study employed the grounded theory approach to conduct 4 focus groups and 19 individual interviews with healthcare professionals who work with disadvantaged urban patients, to produce a conceptual model that explains the phenomenon of interest. In the quantitative component of the study, this model was converted into an online survey that was then administered to 150 healthcare professionals, so that it could be validated quantitatively with a larger number of people. Statistical regression methods were used to control for the influence of personal characteristics of the participants on their perception of the model. The study identified 114 qualitative themes, which were condensed into 10 theoretical categories (interprofessionalism, building trust, coordination, facilitating sharing, patient care, enhancing reciprocity, common goals, effecting change, healthcare system disparities, and patient individual, group or population disparities) that were further reduced to two theoretical concepts (social capital and disparities). The survey and regression analysis revealed that the extent to which healthcare professionals are satisfied with their careers is the most important factor that influences their perceptions of this model. Other important factors include the type of healthcare profession, gross annual income, and whether a healthcare professional had worked in patient care for at least 6 months. In conclusion, this study showed that social capital is the theoretical foundation for collaboration among healthcare professionals, patients and families, and it helps explain why collaboration works or does not work in different settings. Additional research using more objective data sources is needed to determine whether collaboration can truly impact patient health and system outcomes.

 

 


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