AI Article Synopsis

  • Health systems are evolving by adopting the Quintuple Aim, which focuses on enhancing patient and provider experiences, improving population health, optimizing healthcare value, and promoting health equity, while utilizing a Learning Health Systems approach for real-time data usage.
  • * The study investigates the training and mentorship needs of early career researchers (ECRs) in embedded research contexts, aiming to create or adapt programs that enhance their capacity.
  • * Findings from interviews and surveys reveal key competencies ECRs need, additional training requirements, preferred delivery methods for training, and the enablers and challenges they face in their roles.

Article Abstract

Introduction: Health systems are constantly evolving in response to existing and emerging health challenges and are increasingly adopting the Quintuple Aim to guide transformation and improvement efforts. Addressing health challenges and achieving the Quintuple Aim (enhancing patient experience, improving healthcare provider experience, promoting population health, optimising the value of healthcare services, and advancing health equity) may be enhanced with the use of a Learning Health Systems approach that fosters the real-time use of data and evidence to inform improvement efforts and harnesses embedded researchers to co-produce timely, relevant evidence to address priorities. Training programs have emerged to build embedded research capacity within health system organisations and have focused predominantly on the postdoctoral career stage, with little attention paid to the early career researcher (ECR) stage. The objective of this study was to understand ECR training and mentorship needs in the embedded research context to inform the creation new or adaptation of existing programs to build embedded ECR capacity.

Methods: This study used a qualitative approach to garner insight from embedded and applied scholars and health systems leaders in Canada from various professional backgrounds and at various career stages using a combination of focus group discussions, key informant interviews, and an online survey. Thematic content analysis was used to examine the responses of study participants within the interview themes.

Results: Twenty-six (26) participants were included in the study. Results were organised according to four key themes: (1) key competencies and skills needed by embedded ECRs; (2) additional training and capacity development needs; (3) training delivery approaches; and (4) enablers and challenges faced by embedded ECRs. Results highlight the importance of supporting ECRs to develop their leadership and organisational management capabilities; their knowledge of and ability to use research approaches that are well-suited to real-world, complex, evolving environments; and their opportunities to learn with and from each other and mentors. Results underscore the perceived importance of context, including being embedded in a supportive environment that values research and evidence and of academic incentives that recognise and value real-world research impact. The challenges of responding to shifting organisational and system priorities were identified. Additional insights from health systems leaders were also highlighted.

Conclusion: This study identified the multifaceted needs of embedded ECRs and the challenges they face within healthcare systems. Designing new programs or tailoring existing ones to address these needs would build their capacity, foster career progression, and ensure their impact as leaders of evidence-informed health system improvement which is crucial for achieving the Quintuple Aim.

Download full-text PDF

Source
http://dx.doi.org/10.1002/hpm.3800DOI Listing

Publication Analysis

Top Keywords

health systems
16
quintuple aim
12
embedded ecrs
12
embedded
10
health
10
training mentorship
8
early career
8
embedded researchers
8
health challenges
8
improvement efforts
8

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!