ReviewThe Milbank quarterly2024
Four System Enablers of Large-System Transformation in Health Care: A Mixed Methods Realist Evaluation.
Review in The Milbank quarterly, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Consensus-Building Processes for Implementing Perioperative Care Pathways in Common Elective Surgeries: A Systematic Review.Journal of advanced nursing · 2025Pooled it
- How can interprofessional collaboration be fostered and sustained in team-based care integration for older people in community settings? A realist evidence synthesis.Systematic reviews · 2025Pooled it
- Internationally Educated Nurse (IEN) Integration in Nova Scotia: A Provincial Realist Evaluation.The International journal of health planning and management · 2026Article
- Conducting rigorous implementation evaluations in real word settings: lessons from a consensus approach to perioperative pathway implementation for elective surgery.Implementation science communications · 2026Article
- Targeted intervention and monitoring of sex assigned at birth, sexual orientation, and gender identity data scale-up: the intersection of research, policy, and patient care.Journal of the National Cancer Institute. Monographs · 2025Article
- Support for hospital doctors' workplace well-being in England: the Care Under Pressure 3 realist evaluation.BMJ quality & safety · 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
- Adopting Public Health Genomics when the House Is on Fire: How Will We Navigate to 2030?Public health genomics · 2025Article
- A decade of change towards Value-Based Health Care at a Dutch University Hospital: a complexity-informed process study.Health research policy and systems · 2024Article
- A self-assessment maturity matrix to support large-scale change using collaborative networks in the New Zealand health system.BMC health services research · 2024Article
- Implementation of large, multi-site hospital interventions: a realist evaluation of strategies for developing capability.BMC health services research · 2024Article
- Four System Enablers of Large-System Transformation in Health Care: A Mixed Methods Realist Evaluation.The Milbank quarterly · 2024Review
- Activating Mechanisms Through Employee-Driven Innovation Comment on "Employee-Driven Innovation in Health Organizations: Insights From a Scoping Review".International journal of health policy and management · 2024Article
- Organizational Factors Driving the Realization of Digital Health Transformation Benefits from Health Service Managers: A Qualitative Study.Journal of healthcare leadership · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
Policy Points The implementation of large-scale health care interventions relies on a shared vision, commitment to change, coordination across sites, and a spanning of siloed knowledge. Enablers of the system should include building an authorizing environment; providing relevant, meaningful, transparent, and timely data; designating and distributing leadership and decision making; and fostering the emergence of a learning culture. Attention to these four enablers can set up a positive feedback loop to foster positive change that can protect against the loss of key staff, the presence of lone disruptors, and the enervating effects of uncertainty. CONTEXT: Large-scale transformative initiatives have the potential to improve the quality, efficiency, and safety of health care. However, change is expensive, complex, and difficult to implement and sustain. This paper advances system enablers, which will help to guide large-scale transformation in health care systems.
methodsA realist study of the implementation of a value-based health care program between 2017 and 2021 was undertaken in every public hospital (n = 221) in New South Wales (NSW), Australia. Four data sources were used to elucidate initial program theories beginning with a set of literature reviews, a program document review, and informal discussions with key stakeholders. Semistructured interviews were then conducted with 56 stakeholders to confirm, refute, or refine the theories. A retroductive analysis produced a series of context-mechanism-outcome (CMO) statements. Next, the CMOs were validated with three health care quality expert panels (n = 51). Synthesized data were interrogated to distill the overarching system enablers.
findingsForty-two CMO statements from the eight initial program theory areas were developed, refined, and validated. Four system enablers were identified: (1) build an authorizing environment; (2) provide relevant, authentic, timely, and meaningful data; (3) designate and distribute leadership and decision making; and (4) support the emergence of a learning culture. The system enablers provide a nuanced understanding of large-system transformation that illustrates when, for whom, and in what circumstances large-system transformation worked well or worked poorly.
conclusionsSystem enablers offer nuanced guidance for the implementation of large-scale health care interventions. The four enablers may be portable to similar contexts and provide the empirical basis for an implementation model of large-system value-based health care initiatives. With concerted application, these findings can pave the way not just for a better understanding of greater or lesser success in intervening in health care settings but ultimately to contribute higher quality, higher value, and safer care.
Indexed as
Identifiers
What Socratic holds
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 Socratic graph.