Coordinatore | INTERDISCIPLINARY CENTER (IDC) HERZLIYA
Organization address
address: Kanfei Nesharim contact info |
Nazionalità Coordinatore | Israel [IL] |
Totale costo | 100˙000 € |
EC contributo | 100˙000 € |
Programma | FP7-PEOPLE
Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013) |
Code Call | FP7-PEOPLE-IRG-2008 |
Funding Scheme | MC-IRG |
Anno di inizio | 2008 |
Periodo (anno-mese-giorno) | 2008-11-01 - 2012-10-31 |
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1 |
INTERDISCIPLINARY CENTER (IDC) HERZLIYA
Organization address
address: Kanfei Nesharim contact info |
IL (HERZLIYA) | coordinator | 100˙000.00 |
Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.
'The proposed project investigates the complexity of provider decision-making process during the initial mental-health interview (intake) with ethnically and racially diverse populations. We focus on examining intuitive decisions and explore the effect of explicit and implicit bias on decisions related to patient care, including, diagnosis, treatment recommendations, and assessment of rapport. Making medical decision during the mental health intake is the foundation for the proper patient care, but can be a challenging goal given the high level of uncertainty it involves. Such uncertainty is more pronounced in making intuitive decisions with diverse populations. However, little is know about the mechanisms contributing to clinical uncertainty and particularly to intuitive decisions.The current proposal aims to bridge this gap and reduce mental health service disparities by improving intuitive clinical decisions and reducing bias with ethnically and racially diverse populations. It builds on the Institute of Medicine’s (2002) analysis highlighting the role of biases, stereotyping and uncertainty in the patient provider interaction as contributors to service disparities. The specific aims of the study are: Aim 1: investigate the effect of explicit and implicit bias on intuitive decision making through a quantitative experimental design with a on-clinical sample. Aim 2: investigate the effect of explicit and implicit bias on intuitive decision making through a mixed methods experimental design with mental health clinicians providing services to ethnically and racially diverse population. Aim 3: assess clinician reactions to the recommended improvements to the decisions making process developed in Aims 1 and 2, using consensus groups. At the end of this project we hope to make feasible and concrete recommendations to improve the intuitive decision making process and reduce bias with diverse patients as well as make recommendations to improve clinical training.'
Backed by EU funding, the 'Intuitive decision making and bias: examination of their role in the initial mental-health intake with ethnically and racially diverse populations' (INTUITION AND BIAS) project looked at the role of intuition and ethnicity in mental health care.Research revealed that when psychology students were of a different ethnic decent than their patients, the outcome of the initial interview was worse than when they were of the same decent.Additionally, over 129 interviews conducted with mental health providers demonstrated that intuition impacts decisions made from the initial interview.
This is significant as the interview process assesses: the trustworthiness of a patient, how to develop a relationship with the patient, and makes recommendations on diagnosis.Based upon these results, researchers came up with a set of recommendations to ameliorate the role that bias plays in mental health care.
Since the completion of the project, researchers have expanded their work to develop models to reduce the significant role of bias in mental health care.This research has inspired other projects that look more closely at the role of bias in other fields of health care.
Moreover, researchers are examining how socioeconomic factors may account for differences in health issues across countries.
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