ArticleBMC health services research2020
Identifying the context, mechanisms and outcomes underlying collective leadership in teams: building a realist programme theory.
Article in BMC health services research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 3 of them syntheses that pooled it.
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Who cites it
30 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Leadership training in healthcare: a systematic umbrella review.BMJ leader · 2025Pooled it
- Advancing leadership in surgery: a realist review of interventions and strategies to promote evidence-based leadership in healthcare.Implementation science : IS · 2023Pooled it
- Collective leadership to improve professional practice, healthcare outcomes and staff well-being.The Cochrane database of systematic reviews · 2022Pooled it
- Case-based learning (CBL) in undergraduate health professions education: A realist review.Medical education · 2026Review
- Context, Mechanisms and Outcomes of Reasonable Adjustments Across Acute Hospital Settings for People With Intellectual Disabilities: A Scoping Review Protocol.Campbell systematic reviews · 2026Review
- Article
- How Can We Improve Personal Care Interactions to Reduce Care Refusals From People With Dementia? A Realist Synthesis.Journal of advanced nursing · 2026Review
- Exploring Implementation of Reasonable Adjustments in Hospitals for People With Intellectual Disability: Using a Realist Lens.Journal of advanced nursing · 2025Article
- Sweden's public health response to COVID-19: a qualitative study building on a realist approach.BMC health services research · 2025Article
- Outpatient Virtual Care Among People Living With and Beyond Cancer From Culturally and Linguistically Diverse Backgrounds in Australia: A Protocol for a Realist Evaluation.Health expectations : an international journal of public participation in health care and health policy · 2025Article
- Collaborative and Shared Leadership Dynamics in Healthcare Action Teams: A Systematic Literature Review.Journal of healthcare leadership · 2025Review
- Understanding the Mechanisms that Operate within CHIME: A Realist Review Protocol.HRB open research · 2025Article
- Lifestyle approaches to hypertension for prevention of stroke and vascular cognitive impairment: a realist review protocol.BMJ open · 2024Article
- Article
- How to Make an Internal Team Coach: An Integration of Research.Behavioral sciences (Basel, Switzerland) · 2024Review
- Determining the destination: a co-designed chronic advanced cancer rehabilitation conceptual framework for engagement of individuals with lived experience in rehabilitation research.Research involvement and engagement · 2024Article
- Audit and feedback to reduce unwarranted clinical variation at scale: a realist study of implementation strategy mechanisms.Implementation science : IS · 2023Article
- Feedback for Emergency Ambulance Staff: A National Review of Current Practice Informed by Realist Evaluation Methodology.Healthcare (Basel, Switzerland) · 2023Article
- Interprofessional collaboration in primary health care from the perspective of implementation science.Cadernos de saude publica · 2023Article
- In which context and for whom can interventions improve leadership of surgical trainees, surgeons and surgical teams and why: a realist review protocol.NIHR open research · 2023Article
Corrections and comments
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2 authors.
Funding
Abstract
backgroundThere is accumulating evidence for the value of collective and shared approaches to leadership. However, relatively little research has explored collective leadership in healthcare and thus, there is a lack understanding of the mechanisms that promote or inhibit the practice of collective leadership in healthcare teams. This study describes the development of an initial programme theory (IPT) to provide insight into the mechanisms underpinning the enactment of collective leadership.
methodsThis IPT was informed by a multiple-method data collection process. The first stage involved a realist synthesis of the literature on collective leadership interventions in healthcare settings (n = 21 studies). Next, we presented initial findings to receive feedback from a realist research peer support group. Interviews with members of teams identified as working collectively (n = 23) were then conducted and finally, we consulted with an expert panel (n = 5). Context-mechanism-outcome configurations (CMOCs) were extrapolated to build and iteratively refine the programme theory and finalise it for testing.
resultsTwelve CMOCs were extrapolated from these data to form the initial programme theory and seven were prioritised by the expert panel for focused testing. Contextual conditions that emerged included team training on-site, use of collaborative/co-design strategies, dedicated time for team reflection on performance, organisational and senior management support, inclusive communication and decision-making processes and strong supportive interpersonal relationships within teams. Mechanisms reported include motivation, empowerment, role clarity, feeling supported and valued and psychological safety which led to outcomes including improvements in quality and safety, staff and patient satisfaction, enhanced team working, and greater willingness to share and adopt leadership roles and responsibilities.
conclusionsThis study has identified preliminary support for the contexts, mechanisms and outcomes underpinning the practice of collective leadership. However, it must be noted that while they may appear linear in presentation, in reality they are independent and interlinked and generative of additional configurations. This paper contributes to the nascent literature through addressing an identified gap in knowledge by penetrating below the surface level inputs and outputs of an intervention to understand why it works or doesn't work, and for whom it may work.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.