ArticleMedical care research and review : MCRR2021
Managing Organizational Constraints in Innovation Teams: A Qualitative Study Across Four Health Systems.
Article in Medical care research and review : MCRR, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis 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
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.
- Revolutionising health and social care: innovative solutions for a brighter tomorrow - a systematic review of the literature.BMC health services research · 2024Pooled it
- The Dynamic and Multisource Nature of Support for Frontline-Led Innovation Teams.Medical care research and review : MCRR · 2026Article
- Agile Nudge University Innovation Forum: solving real-world problems.Frontiers in public health · 2025Article
- Perspectives on managing innovation readiness in long-term care: a Q-methodology study.BMC geriatrics · 2024Article
- Engaging Interdisciplinary Innovation Teams in Federally Qualified Health Centers.Medical care research and review : MCRR · 2024Article
- Implementing a COVID-19 Virtual Observation Unit in Emergency Medicine: Frontline Clinician and Staff Experiences.Medical care research and review : MCRR · 2023Article
- Centralization and innovation: Competing priorities for health systems?The International journal of health planning and management · 2022Article
- Factors contributing to innovation readiness in health care organizations: a scoping review.BMC health services research · 2022Article
- Evaluating a patient safety learning laboratory to create an interdisciplinary ecosystem for health care innovation.Health care management reviewArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 1 country.
Funding
Abstract
Though increasingly useful for developing complex healthcare innovations, interdisciplinary teams are prone to resistance and other organizational challenges. However, how teams are affected by and manage external constraints over the lifecycle of their innovation project is not well understood. We used a multimethod qualitative approach consisting of over 3 years of participant observation data to analyze how four interdisciplinary teams across different health systems experienced and managed constraints as they pursued process innovations. Specifically, we derived the constraint management process, which demonstrates how teams address constraints at different stages of innovation by applying various tactics. Our findings point to several practical implications concerning innovation processes in healthcare: (a) how conditions in the organizational context, or constraints, can impede team progress at different stages of innovation; and (2) the collective efforts, or tactics, teams use to manage or work around these constraints to further progress on their innovations.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.