Psychometric analysis of the TRANSIT quality indicators for cardiovascular disease prevention in primary care.

Objective: To assess a selection of psychometric properties of the TRANSIT indicators.

Design: Using medical records, indicators were documented retrospectively during the 14 months preceding the end of the TRANSIT study.

Setting: Primary care in Quebec, Canada.

Facilitating Implementation of Interprofessional Collaborative Practices Into Primary Care: A Trilogy of Driving Forces.

Implementing interprofessional collaborative practices in primary care is challenging, and research about its facilitating factors remains scarce. The goal of this participatory action research study was to better understand the driving forces during the early stage of the implementation process of a community-driven and patient-focused program in primary care titled "TRANSforming InTerprofessional cardiovascular disease prevention in primary care" (TRANSIT). Eight primary care clinics in Quebec, Canada, agreed to participate by creating and implementing an interprofessional facilitation team (IFT).

Development of an interprofessional program for cardiovascular prevention in primary care: A participatory research approach.

Background: The chronic care model provides a framework for improving the management of chronic diseases. Participatory research could be useful in developing a chronic care model-based program of interventions, but no one has as yet offered a description of precisely how to apply the approach.

Objectives: An innovative, structured, multi-step participatory process was applied to select and develop (1) chronic care model-based interventions program to improve cardiovascular disease prevention that can be adapted to a particular regional context and (2) a set of indicators to monitor its implementation.

Healthcare professionals' adoption and use of a clinical information system (CIS) in primary care: insights from the Da Vinci study.

Unlabelled: Given the increasing prevalence of multimorbidity in primary care (PC), interdisciplinary PC teams supported by appropriate clinical information systems (CIS) are needed in order to deal with the complexity of multimorbid patients' care. Our team has developed such a system, called the Da Vinci system. However, despite the expected benefits, evidence suggests generally low rates of CIS adoption.