Evidence map›Paper›PMID 30477576›Full record

SynthesisBMC health services research2018

Interventions to reduce readmissions: can complex adaptive system theory explain the heterogeneity in effectiveness? A systematic review.

Lauren S Penney, Musarrat Nahid, Luci K Leykum, Holly Jordan Lanham, Polly H Noël, Erin P Finley, Jacqueline Pugh

Abstract readSystematic Review
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. 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 · 2023
    Article
  5. Article
  6. 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 · 2022
    Article
  7. Review
  8. Article
  9. Article
  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Lauren S PenneySouth Texas Veterans Health Care System, 7400 Merton Minter Blvd, San Antonio, TX, 78229, USA. Lauren.Penney@va.gov.ORCID http://orcid.org/0000-0002-8285-7352
Musarrat NahidSouth Texas Veterans Health Care System, 7400 Merton Minter Blvd, San Antonio, TX, 78229, USA.
Luci K LeykumSouth Texas Veterans Health Care System, 7400 Merton Minter Blvd, San Antonio, TX, 78229, USA.
Holly Jordan LanhamSouth Texas Veterans Health Care System, 7400 Merton Minter Blvd, San Antonio, TX, 78229, USA.
Polly H NoëlSouth Texas Veterans Health Care System, 7400 Merton Minter Blvd, San Antonio, TX, 78229, USA.
Erin P FinleySouth Texas Veterans Health Care System, 7400 Merton Minter Blvd, San Antonio, TX, 78229, USA.
Jacqueline PughSouth Texas Veterans Health Care System, 7400 Merton Minter Blvd, San Antonio, TX, 78229, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Patient ReadmissionDelivery of Health CareHumansInterpersonal RelationsOutcome Assessment, Health CarePatient TransferQuality of Health CareSystems TheoryCare transitionsComplex adaptive systemsHealth care interventionsHospital readmissionsPatient educationSelf-organization

Identifiers

PMID30477576
PMCPMC6260570

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.