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Interventions to reduce readmissions: can complex adaptive system theory explain the heterogeneity in effectiveness? A systematic review.
Penney, Lauren S; Nahid, Musarrat; Leykum, Luci K; Lanham, Holly Jordan; Noël, Polly H; Finley, Erin P; Pugh, Jacqueline.
Afiliação
  • Penney LS; South Texas Veterans Health Care System, 7400 Merton Minter Blvd, San Antonio, TX, 78229, USA. Lauren.Penney@va.gov.
  • Nahid M; Department of Medicine, The University of Texas Health Science Center San Antonio, 7703 Floyd Curl Drive, San Antonio, TX, 78229, USA. Lauren.Penney@va.gov.
  • Leykum LK; South Texas Veterans Health Care System, 7400 Merton Minter Blvd, San Antonio, TX, 78229, USA.
  • Lanham HJ; Department of Medicine, The University of Texas Health Science Center San Antonio, 7703 Floyd Curl Drive, San Antonio, TX, 78229, USA.
  • Noël PH; South Texas Veterans Health Care System, 7400 Merton Minter Blvd, San Antonio, TX, 78229, USA.
  • Finley EP; Department of Medicine, The University of Texas Health Science Center San Antonio, 7703 Floyd Curl Drive, San Antonio, TX, 78229, USA.
  • Pugh J; Department of Information, Risk and Operations Management, McCombs School of Business, The University of Texas at Austin, 2110 Speedway Stop B6500, Austin, TX, 78712-1277, USA.
BMC Health Serv Res ; 18(1): 894, 2018 Nov 26.
Article em En | MEDLINE | ID: mdl-30477576
BACKGROUND: Successfully 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. METHODS: We 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. RESULTS: Forty-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). CONCLUSIONS: Interventions 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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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Systematic_reviews Limite: Humans Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Systematic_reviews Limite: Humans Idioma: En Ano de publicação: 2018 Tipo de documento: Article