ArticleJournal of health organization and management2021
"Slow science" for 21st century healthcare: reinventing health service research that serves fast-paced, high-complexity care organisations.
Article in Journal of health organization and management, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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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.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Systematic Review of Socio-Emotional Values Within Organizations.Frontiers in psychology · 2021Pooled it
- Expanding the pragmatic lens in implementation science: why stakeholder perspectives matter.Implementation science communications · 2025Article
- The embedded research model: an answer to the research and evaluation needs of community service organizations?Health research policy and systems · 2024Article
- Lost in translation: key lessons from conducting dissemination and implementation science in Zambia.Implementation science communications · 2024Article
- The prototype of a frailty learning health system: The HARMONY Model.Learning health systems · 2024Article
- 'It seems like a luxury to be able to offer that': Factors influencing the implementation of annual health checks for autistic people in England.Autism : the international journal of research and practice · 2024Article
- When Health Systems Consider Research to Be Beyond the Scope of Healthcare Delivery, Research Translation Is Crippled Comment on "Academic Health Science Centres as Vehicles for Knowledge Mobilisation in Australia? A Qualitative Study".International journal of health policy and management · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe purpose of this paper is to argue for an improved conceptualisation of health service research, using Stengers' (2018) metaphor of "slow science" as a critical yardstick. DESIGN/METHODOLOGY/APPROACH: The paper is structured in three parts. It first reviews the field of health services research and the approaches that dominate it. It then considers the healthcare research approaches whose principles and methodologies are more aligned with "slow science" before presenting a description of a "slow science" project in which the authors are currently engaged.
findingsCurrent approaches to health service research struggle to offer adequate resources for resolving frontline complexity, principally because they set more store by knowledge generalisation, disciplinary continuity and integrity and the consolidation of expertise, than by engaging with frontline complexity on its terms, negotiating issues with frontline staff and patients on their terms and framing findings and solutions in ways that key in to the ORIGINALITY/VALUE: There is a need to engage in a paradigm shift that engages health services as co-researchers, prioritising practical change and local involvement over knowledge production. Economics is a research field where the products are of natural appeal to powerful health service managers. A "slow science" approach adopted by the embedded Economist Program with its emphasis on pre-implementation, knowledge mobilisation and parallel site capacity development sets out how research can be flexibly produced to improve health services.
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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.