SynthesisBMC health services research2018
Interventions to reduce readmissions: can complex adaptive system theory explain the heterogeneity in effectiveness? A systematic review.
Synthesis in BMC health services research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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
10 citing papers in PubMed.
- Facilitators of and barriers to reducing thirty-day readmissions and improving patient-reported outcomes after surgical aortic valve replacement: a process evaluation of the AVRre trial.BMC health services research · 2020Trial
- Expanding care coordination in an integrated health system through causal machine learning.NPJ digital medicine · 2025Article
- Preliminary adaptation of the systems thinking for everyday work cue card set in a US healthcare system: a pragmatic and participatory co-design approach.BMJ open quality · 2024Article
- Unpacking the Cinderella black box of complex intervention development through the Partners at Care Transitions (PACT) programme of research.Health expectations : an international journal of public participation in health care and health policy · 2023Article
- BUILDING A COMMUNITY OF ANTHROPOLOGICAL PRACTICE: THE CASE OF ANTHROPOLOGISTS WORKING WITHIN THE UNITED STATES' LARGEST HEALTH CARE SYSTEM.Human organization · 2023Article
- A qualitative formative evaluation of a patient facing intervention to improve care transitions for older people moving from hospital to home.Health expectations : an international journal of public participation in health care and health policy · 2022Article
- Using systems perspectives in evidence synthesis: A methodological mapping review.Research synthesis methods · 2022Review
- Contextual factors influencing complex intervention research processes in care homes: a systematic review and framework synthesis.Age and ageing · 2022Article
- Applying systems thinking to knowledge mobilisation in public health.Health research policy and systems · 2020Article
- Development and application of 'systems thinking' principles for quality improvement.BMJ open quality · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSuccessfully transitioning patients from hospital to home is a complex, often uncertain task. Despite significant efforts to improve the effectiveness of care transitions, they remain a challenge across health care systems. The lens of complex adaptive systems (CAS) provides a theoretical approach for studying care transition interventions, with potential implications for intervention effectiveness. The aim of this study is to examine whether care transition interventions that are congruent with the complexity of the processes and conditions they are trying to improve will have better outcomes.
methodsWe identified a convenience sample of high-quality care transition intervention studies included in a care transition synthesis report by Kansagara and colleagues. After excluding studies that did not meet our criteria, we scored each study based on (1) the presence or absence of 5 CAS characteristics (learning, interconnections, self-organization, co-evolution, and emergence), as well as system-level interdependencies (resources and processes) in the intervention design, and (2) scored study readmission-related outcomes for effectiveness.
resultsForty-four of the 154 reviewed articles met our inclusion criteria; these studies reported on 46 interventions. Nearly all the interventions involved a change in interconnections between people compared with care as usual (96% of interventions), and added resources (98%) and processes (98%). Most contained elements impacting learning (67%) and self-organization (69%). No intervention reflected either co-evolution or emergence. Almost 40% of interventions were rated as effective in terms of impact on hospital readmissions. Chi square testing for an association between outcomes and CAS characteristics was not significant for learning or self-organization, however interventions rated as effective were significantly more likely to have both of these characteristics (78%) than interventions rated as having no effect (32%, p = 0.005).
conclusionsInterventions with components that influenced learning and self-organization were associated with a significant improvement in hospital readmissions-related outcomes. Learning alone might be necessary but not be sufficient for improving transitions. However, building self-organization into the intervention might help people effectively respond to problems and adapt in uncertain situations to reduce the likelihood of readmission.
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