Mostrar el registro sencillo del ítem

dc.contributor.author
Ramaswamy, Rohit  
dc.contributor.author
Reed, Julie  
dc.contributor.author
Livesley, Nigel  
dc.contributor.author
Boguslavsky, Victor  
dc.contributor.author
Garcia Elorrio, Ezequiel  
dc.contributor.author
Sax, Sylvia  
dc.contributor.author
Houleymata, Diarra  
dc.contributor.author
Kimble, Leighann  
dc.contributor.author
Parry, Gareth  
dc.date.available
2020-03-13T17:55:10Z  
dc.date.issued
2018-04  
dc.identifier.citation
Ramaswamy, Rohit; Reed, Julie; Livesley, Nigel; Boguslavsky, Victor; Garcia Elorrio, Ezequiel; et al.; Unpacking the black box of improvement; Oxford University Press; International Journal For Quality In Health Care; 30; 4-2018; 15-19  
dc.identifier.issn
1353-4505  
dc.identifier.uri
http://hdl.handle.net/11336/99498  
dc.description.abstract
During the Salzburg Global Seminar Session 565-Better Health Care: How do we learn about improvement, participants discussed the need to unpack the black box of improvement. The black box refers to the fact that when quality improvement interventions are described or evaluated, there is a tendency to assume a simple, linear path between the intervention and the outcomes it yields. It is also assumed that it is enough to evaluate the results without understanding the process of by which the improvement took place. However, quality improvement interventions are complex, nonlinear and evolve in response to local settings. To accurately assess the effectiveness of quality improvement and disseminate the learning, there must be a greater understanding of the complexity of quality improvement work. To remain consistent with the language used in Salzburg, we refer to this as unpacking the black box of improvement. To illustrate the complexity of improvement, this article introduces four quality improvement case studies. In unpacking the black box, we present and demonstrate how Cynefin framework from complexity theory can be used to categorize and evaluate quality improvement interventions. Many quality improvement projects are implemented in complex contexts, necessitating an approach defined as probesense- respond. In this approach, teams experiment, learn and adapt their changes to their local setting. Quality improvement professionals intuitively use the probe-sense-respond approach in their work but document and evaluate their projects using language for simple or complicated' contexts, rather than the complex contexts in which they work. As a result, evaluations tend to ask 'How can we attribute outcomes to the intervention, rather than 'What were the adaptations that took place. By unpacking the black box of improvement, improvers can more accurately document and describe their interventions, allowing evaluators to ask the right questions and more adequately evaluate quality improvement interventions.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Oxford University Press  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc/2.5/ar/  
dc.subject
CYNEFIN FRAMEWORK  
dc.subject
EVALUATION COMPLEX SYSTEMS  
dc.subject
IMPROVEMENT  
dc.subject.classification
Otras Ciencias de la Salud  
dc.subject.classification
Ciencias de la Salud  
dc.subject.classification
CIENCIAS MÉDICAS Y DE LA SALUD  
dc.title
Unpacking the black box of improvement  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2020-03-11T13:00:45Z  
dc.journal.volume
30  
dc.journal.pagination
15-19  
dc.journal.pais
Reino Unido  
dc.journal.ciudad
Oxford  
dc.description.fil
Fil: Ramaswamy, Rohit. University of North Carolina; Estados Unidos  
dc.description.fil
Fil: Reed, Julie. Nihr Clarch Northwest London; Estados Unidos  
dc.description.fil
Fil: Livesley, Nigel. Institute for Healthcare Improvement; Estados Unidos  
dc.description.fil
Fil: Boguslavsky, Victor. University Research Co; Estados Unidos  
dc.description.fil
Fil: Garcia Elorrio, Ezequiel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto de Efectividad Clínica y Sanitaria; Argentina  
dc.description.fil
Fil: Sax, Sylvia. University of Heidelberg; Alemania  
dc.description.fil
Fil: Houleymata, Diarra. Applying Science to Strengthen and Improve Systems Project,; Malí  
dc.description.fil
Fil: Kimble, Leighann. University Research Co; Estados Unidos  
dc.description.fil
Fil: Parry, Gareth. Institute of Healthcare Improvement; Estados Unidos  
dc.journal.title
International Journal For Quality In Health Care  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://academic.oup.com/intqhc/article/30/suppl_1/15/4860379  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1093/intqhc/mzy009  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5909642