How to measure the collective intelligence of primary healthcare teams?

Introduction: The capacity for teams and organizations to evolve and to thrive in ever-shifting environments is attributed to their collective intelligence. Collectively, intelligent team could prevent repetition of past mistakes and can help organizations and people work more efficiently. Researchers aimed to find a framework or a tool that could help explain collective intelligence in primary healthcare organizations.

Context and implementation of advanced nursing practice in two countries: An exploratory qualitative comparative study.

Background: The complexity and difficulties involved in the development and implementation of health innovations, such as advanced practice nursing roles, result in slow and sporadic international acceptance. To manage this complexity, it is advisable to deepen understanding of the context in which these innovation processes take place. However, there is little research specifically concerned with contextual factors that influence the implementation of advanced practice nursing roles.

Formalisation and subordination: a contingency theory approach to optimising primary care teams.

Objective: While there is consensus on the need to strengthen primary care capacities to improve healthcare systems' performance and sustainability, there is only limited evidence on the best way to organise primary care teams. In this article, we use a conceptual framework derived from contingency theory to analyse the structures and process optimisation of multiprofessional primary care teams.

Design: We focus specifically on inter-relationships between three dimensions: team size, formalisation of care processes and nurse autonomy.

Stakeholder Views on Solutions to Improve Health System Performance.

Context: Significant reforms are needed to improve healthcare system performance in Quebec. Even though the characteristics of high-performing healthcare systems are well-known, Quebec's reforms have not succeeded in implementing many critical elements. Converging evidence from political science models suggests stakeholders' preferences are central in determining policy content, adoption, and implementation.