Assessment of Chronic Health Care through an Internet Consensus Tool

Abstract

Health Consensus for the Assessment of Chronic Care Programs" (HC-ACP) is an internet based application created to promote and facilitate the participation of health professionals in the definition of a set of indicators for the assessment of chronic care and management of areas of improvement in this field. The first prototype of the application has been applied twice, first in the region of Catalonia, and in a second project in the context of the whole Spanish Health System. HC-ACP has collected contributions from more than 800 health professionals from around Spain including profiles in the fields of management, health care professional, health planning and quality assessment, allowing sharing and aggregate knowledge and clinical experience from a wide range of points of view. After a process of literature review and panel meetings with professionals who proposed a wide list of indicators, the HC-ACP application was used to select a minimum set of indicators following a participative process based on Health Consensus, an online Real Time Delphi method. The first part of this chapter is devoted to expose paradigms that define the interdisciplinary research field of the method, the second part of the chapter presents the Health Consensus method, and finally the third part exposes a detailed description of the HC-ACP application and the followed process. Besides the relevance and utility of the Health

A Multidisciplinary Approach to Sexual Behavior Profiles: The SEX360 Model

“…The purpose of the second meeting was to assign a weight to each question and to estimate a bias of the responses by using a real-time Delphi methodology for consensus (Monguet et al 2016). First, experts were asked to assign a global weight to each question by anonymously suggesting a score from 1 (little influence on the model) to 6 (great influence on the model) to each question.…”

Health Consensus

“…1. Chronic Care Indicators (I) Assessment of indicators of chronic care performance (Monguet et al, 2015).…”