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Sustainability of healthcare improvement: what can we learn from learning theory?
Open accessAbstract
BACKGROUND: Changes that improve the quality of health care should be sustained. Falling back to old, unsatisfactory ways of working is a waste of resources and can in the worst case increase resistance to later initiatives to improve care. Quality improvement relies on changing the clinical system yet factors that influence the sustainability of quality improvements are poorly understood. Theoretical frameworks can guide further research on the sustainability of quality improvements. Theories of organizational learning have contributed to a better understanding of organizational change in other contexts. To identify factors contributing to sustainability of improvements, we use learning theory to explore a case that had displayed sustained improvement. METHODS: Førde Hospital redesigned the pathway for elective surgery and achieved sustained reduction of cancellation rates. We used a qualitative case study design informed by theory to explore factors that contributed to sustain the improvements at Førde Hospital. The model Evidence in the Learning Organization describes how organizational learning contributes to change in healthcare institutions. This model constituted the framework for data collection and analysis. We interviewed a strategic sample of 20 employees. The in-depth interviews covered themes identified through our theoretical framework. Through a process of coding and condensing, we identified common themes that were interpreted in relation to our theoretical framework. RESULTS: Clinicians and leaders shared information about their everyday work and related this knowledge to how the entire clinical pathway could be improved. In this way they developed a revised and deeper understanding of their clinical system and its interdependencies. They became increasingly aware of how different elements needed to interact to enhance the performance and how their own efforts could contribute. CONCLUSIONS: The improved understanding of the clinical system represented a change in mental models of employees that influenced how the organization changed its performance. By applying the framework of organizational learning, we learned that changes originating from a new mental model represent double-loop learning. In double-loop learning, deeper system properties are changed, and consequently changes are more likely to be sustained.
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“This has also been shown to be detrimental to improvement efforts in general as staff, patient and public opinion of improvement initiatives declines and enthusiasm for engaging in future programmes is lost [9, 10].”
From Navigating the sustainability landscape: a systematic review of sustainability approaches in healthcare (2018) · cites this paper as [9]
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Additional file 4 of Aiming for quality: a global compass for national learning systems
Sarakbi, D., Mensah-Abrampah, N., Kleine-Bingham, M., & Syed, S. B. (2021) · Figshare · doi:10.6084/m9.figshare.15020864
Flynn, R., Stevens, B., Bains, A., Kennedy, M., & Scott, S. D. (2022) · Figshare · doi:10.6084/m9.figshare.21343163
Additional file 2 of Aiming for quality: a global compass for national learning systems
Sarakbi, D., Mensah-Abrampah, N., Kleine-Bingham, M., & Syed, S. B. (2021) · Figshare · doi:10.6084/m9.figshare.15020855
Lennox, L., Antonacci, G., Harris, M., & Reed, J. (2023) · Figshare · doi:10.6084/m9.figshare.23542922
Flynn, R., Stevens, B., Bains, A., Kennedy, M., & Scott, S. D. (2022) · Figshare · doi:10.6084/m9.figshare.21343166
Lennox, L., Antonacci, G., Harris, M., & Reed, J. (2023) · Figshare · doi:10.6084/m9.figshare.23542925
Additional file 1 of Aiming for quality: a global compass for national learning systems
Sarakbi, D., Mensah-Abrampah, N., Kleine-Bingham, M., & Syed, S. B. (2021) · Figshare · doi:10.6084/m9.figshare.15020849
Flynn, R., Stevens, B., Bains, A., Kennedy, M., & Scott, S. D. (2022) · Figshare · doi:10.6084/m9.figshare.21343160
Additional file 3 of Aiming for quality: a global compass for national learning systems
Sarakbi, D., Mensah-Abrampah, N., Kleine-Bingham, M., & Syed, S. B. (2021) · Figshare · doi:10.6084/m9.figshare.15020861
Flynn, R., Stevens, B., Bains, A., Kennedy, M., & Scott, S. D. (2022) · Figshare · doi:10.6084/m9.figshare.21343157
Lennox, L., Antonacci, G., Harris, M., & Reed, J. (2023) · Figshare · doi:10.6084/m9.figshare.23542928
عبدالمحسن, أ. د. ع. ع., & العبيدي, م. س. ع. (2026) · مجلة اقتصاديات الاعمال للبحوث التطبيقية · doi:10.37940/bejar.2025.7.3.52
Metadata
- Authors
- Hovlid, E., Bukve, O., Haug, K., Aslaksen, A. B., & von Plessen, C.
- Affiliations
- Høgskulen i Sogn og Fjordane (NO)
- University of Bergen (NO)
- Haukeland University Hospital (NO)
- Corresponding author
- Hovlid, Einar
- Venue
- BMC Health Services Research
- Published
- 2012-08-03
- Volume
- 12
- Issue
- 1
- Pages
- 235-235
- ISSN
- 1472-6963 (ISSN-L)
- PMC
- PMC3532388
- OpenAlex
- W2101420408
- Cited by
- 101
- References
- 68
- Citations by year
- 2026: 3 · 2025: 4 · 2024: 5 · 2023: 10 · 2022: 11 · 2021: 11 · 2020: 11 · 2019: 5 · 2018: 7 · 2017: 6 · 2016: 11 · 2015: 6 · 2014: 8 · 2013: 3
- FWCI
- 8.84
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- BMC Health Services Research (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- NORA - Norwegian Open Research Archives (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Research at the University of Copenhagen (University of Copenhagen) (submittedVersion)
- Funders
- Norges Forskningsråd
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Healthcare Quality and Management
- Health Sciences › Health Professions › General Health Professions › Health Policy Implementation Science
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Organizational Learning and Leadership
- Keywords
- sustainability of quality improvement, organizational learning, learning organization, double-loop learning, mental models, elective surgery, healthcare quality improvement, organizational change
- MeSH terms
- Hospitals, General, Humans, Learning, Models, Theoretical, Norway, Organizational Innovation, Quality Assurance, Health Care, Program Evaluation, Critical Pathways, Quality Improvement
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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