Qualitative Analysis of the Interdisciplinary Interaction between Data Analysis Specialists and Novice Clinical Researchers

Background: The inherent complexity of statistical methods and clinical phenomena compel researchers with diverse domains of expertise to work in interdisciplinary teams, where none of them have a complete knowledge in their counterpart's field. As a result, knowledge exchange may often be characterized by miscommunication leading to misinterpretation, ultimately resulting in errors in research and even clinical practice. Though communication has a central role in interdisciplinary collaboration and since miscommunication can have a negative impact on research processes, to the best of our knowledge, no study has yet explored how data analysis specialists and clinical researchers communicate over time. Methods/Principal Findings: We conducted qualitative analysis of encounters between clinical researchers and data analysis specialists (epidemiologist, clinical epidemiologist, and data mining specialist). These encounters were recorded and systematically analyzed using a grounded theory methodology for extraction of emerging themes, followed by data triangulation and analysis of negative cases for validation. A policy analysis was then performed using a system dynamics methodology looking for potential interventions to improve this process. Four major emerging themes were found. Definitions using lay language were frequently employed as a way to bridge the language gap between the specialties. Thought experiments presented a series of ""what if'' situations that helped clarify how the method or information from the other field would behave, if exposed to alternative situations, ultimately aiding in explaining their main objective. Metaphors and analogies were used to translate concepts across fields, from the unfamiliar to the familiar. Prolepsis was used to anticipate study outcomes, thus helping specialists understand the current context based on an understanding of their final goal. Conclusion/Significance: The communication between clinical researchers and data analysis specialists presents multiple challenges that can lead to errors

Telemental health in Brazil: past, present and integration into primary care

Background Telemental Health Care has reported very good results and is included within mental health priorities by the World Health Organization. Objective To provide an overview of the current situation of the integration of Brazilian telemedicine activities into primary health care. Methods Critical review based on MEDLINE database, using the keywords “telemedicine”, “primary health care” “mental health” and “telemental health”, on websites of the Brazilian Ministry of Health and Brazilian Telehealth Network Program, and on personal communication. Results The Brazilian Telehealth Network Program is well positioned and connects primary health care with academic centers. Regulations standards allow a broader scope of activities for psychologists, however, are more restrictive for physicians. In Brazil most of telemental health activities are focused on education and second opinion consulting. A huge challenge must be overcome considering the regional differences and the telehealth implementation experience. Research initiatives have been initiated both in the implementation and evaluation of the mental health assistance into primary health care. Discussion Brazilian Telemental Health initiatives into Primary Care are aligned with other examples around the world, have a great potential for improving mental health care service delivery, and access to proper mental health care, especially if articulated in a national program and coordinated research

So Different, yet So Similar: Meta-Analysis and Policy Modeling of Willingness to Participate in Clinical Trials among Brazilians and Indians

BACKGROUND: With the global expansion of clinical trials and the expectations of the rise of the emerging economies known as BRICs (Brazil, Russia, India and China), the understanding of factors that affect the willingness to participate in clinical trials of patients from those countries assumes a central role in the future of health research. METHODS: We conducted a systematic review and meta-analysis (SRMA) of willingness to participate in clinical trials among Brazilian patients and then we compared it with Indian patients (with results of another SRMA previously conducted by our group) through a system dynamics model. RESULTS: Five studies were included in the SRMA of Brazilian patients. Our main findings are 1) the major motivation for Brazilian patients to participate in clinical trials is altruism, 2) monetary reimbursement is the least important factor motivating Brazilian patients, 3) the major barrier for Brazilian patients to not participate in clinical trials is the fear of side effects, and 4) Brazilian patients are more likely willing to participate in clinical trials than Indians. CONCLUSION: Our study provides important insights for investigators and sponsors for planning trials in Brazil (and India) in the future. Ignoring these results may lead to unnecessary fund/time spending. More studies are needed to validate our results and for better understanding of this poorly studied theme

Aprendizagem, memória e estresse em Danio rerio

Universidade Federal de Minas Gerais(A obra contém vários resumos dividos por estudo

Computational Ontologies in Orthopaedic Surgery

10.1007/s11999-010-1382-9Clinical Orthopaedics and Related Research468102612-2620CORT

Detecting dissonance in clinical and research workflow for translational psychiatric registries

<p>XML files of UML models related to the study " Detecting dissonance in clinical and research workflow for translational psychiatric registries" submited for publication at PlosOne Journal.</p

Pre and Post intervention screening and enrollment at the Autism Outpatient Clinic.

<p>Percentage of patients approached and enrolled in relation to total number of patients available for screening for the month. Data refer to the period between October 2010 and November 2011 at the Autism outpatient clinic.</p

The number of medical visits pre- and post intervention at the Autism Outpatient Clinic.

<p>The number of medical visits per month and corresponding number of patients not yet screened are presented before and after intervention. Data refer to the period between October 2010 and November 2011 at the Autism outpatient clinic.</p