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Using Goal-Directed Design to Create a Novel System for Improving Chronic Illness Care

BACKGROUND: A learning health system enables patients, clinicians, and researchers to work together to choose care based on the best evidence, drive discovery as a natural outgrowth of patient care, and ensure innovation, quality, safety, and value in health care; all in a more real-time fashion. OB...

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Detalles Bibliográficos
Autores principales: Fore, David, Goldenhar, Linda M, Margolis, Peter A, Seid, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications Inc. 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3841377/
https://www.ncbi.nlm.nih.gov/pubmed/24168835
http://dx.doi.org/10.2196/resprot.2749
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author Fore, David
Goldenhar, Linda M
Margolis, Peter A
Seid, Michael
author_facet Fore, David
Goldenhar, Linda M
Margolis, Peter A
Seid, Michael
author_sort Fore, David
collection PubMed
description BACKGROUND: A learning health system enables patients, clinicians, and researchers to work together to choose care based on the best evidence, drive discovery as a natural outgrowth of patient care, and ensure innovation, quality, safety, and value in health care; all in a more real-time fashion. OBJECTIVE: Our paper describes how goal-directed design (GDD) methods were employed to understand the context and goals of potential participants in such a system as part of a design process to translate the concept of a learning health system into a prototype collaborative chronic care network (C3N), specifically for pediatric inflammatory bowel disease. METHODS: Thirty-six one-on-one in-depth interviews and observations were conducted with patients (10/36, 28%), caregivers (10/36, 28%), physicians/researchers (10/36, 28%), and nurses (6/36, 17%) from a pediatric gastroenterology center participating in the ImproveCareNow network. GDD methods were used to determine the context and goals of participants. These same methods were used in conjunction with idealized design process techniques to help determine characteristics of a learning health system for this pediatric health care ecology. Research was conducted in a clinic and, in the case of some patients and caregivers, at home. RESULTS: Thematic analysis revealed 3 parent-child dyad personas (ie, representations of interviewees’ behavior patterns, goals, skills, attitudes, and contextual information) that represented adaptation to a chronic illness over time. These were used as part of a design process to generate scenarios (potential interactions between personas and the learning health system under design) from which system requirements were derived. These scenarios in turn helped guide generation, prioritization, design, measurement, and implementation of approximately 100 prototype interventions consistent with the aim of C3N becoming a learning health network. CONCLUSIONS: GDD methods help ensure human goals and contexts inform the design of a network of health care interventions which reflect the shape and purpose of a C3N in pediatric chronic illness care. Developing online and in-person interventions according to well-documented context and motivations of participants increases the likelihood that a C3N will enable all participants to act in ways that achieve their goals with grace and dignity. GDD methods complemented quality-improvement methods to generate prototypes consistent with clinical and research aims, as well as the goals of patient disease management.
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spelling pubmed-38413772013-11-27 Using Goal-Directed Design to Create a Novel System for Improving Chronic Illness Care Fore, David Goldenhar, Linda M Margolis, Peter A Seid, Michael JMIR Res Protoc Original Paper BACKGROUND: A learning health system enables patients, clinicians, and researchers to work together to choose care based on the best evidence, drive discovery as a natural outgrowth of patient care, and ensure innovation, quality, safety, and value in health care; all in a more real-time fashion. OBJECTIVE: Our paper describes how goal-directed design (GDD) methods were employed to understand the context and goals of potential participants in such a system as part of a design process to translate the concept of a learning health system into a prototype collaborative chronic care network (C3N), specifically for pediatric inflammatory bowel disease. METHODS: Thirty-six one-on-one in-depth interviews and observations were conducted with patients (10/36, 28%), caregivers (10/36, 28%), physicians/researchers (10/36, 28%), and nurses (6/36, 17%) from a pediatric gastroenterology center participating in the ImproveCareNow network. GDD methods were used to determine the context and goals of participants. These same methods were used in conjunction with idealized design process techniques to help determine characteristics of a learning health system for this pediatric health care ecology. Research was conducted in a clinic and, in the case of some patients and caregivers, at home. RESULTS: Thematic analysis revealed 3 parent-child dyad personas (ie, representations of interviewees’ behavior patterns, goals, skills, attitudes, and contextual information) that represented adaptation to a chronic illness over time. These were used as part of a design process to generate scenarios (potential interactions between personas and the learning health system under design) from which system requirements were derived. These scenarios in turn helped guide generation, prioritization, design, measurement, and implementation of approximately 100 prototype interventions consistent with the aim of C3N becoming a learning health network. CONCLUSIONS: GDD methods help ensure human goals and contexts inform the design of a network of health care interventions which reflect the shape and purpose of a C3N in pediatric chronic illness care. Developing online and in-person interventions according to well-documented context and motivations of participants increases the likelihood that a C3N will enable all participants to act in ways that achieve their goals with grace and dignity. GDD methods complemented quality-improvement methods to generate prototypes consistent with clinical and research aims, as well as the goals of patient disease management. JMIR Publications Inc. 2013-10-29 /pmc/articles/PMC3841377/ /pubmed/24168835 http://dx.doi.org/10.2196/resprot.2749 Text en ©David Fore, Linda M Goldenhar, Peter A Margolis, Michael Seid. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 29.10.2013. http://creativecommons.org/licenses/by/2.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Research Protocols, is properly cited. The complete bibliographic information, a link to the original publication on http://www.researchprotocols.org, as well as this copyright and license information must be included.
spellingShingle Original Paper
Fore, David
Goldenhar, Linda M
Margolis, Peter A
Seid, Michael
Using Goal-Directed Design to Create a Novel System for Improving Chronic Illness Care
title Using Goal-Directed Design to Create a Novel System for Improving Chronic Illness Care
title_full Using Goal-Directed Design to Create a Novel System for Improving Chronic Illness Care
title_fullStr Using Goal-Directed Design to Create a Novel System for Improving Chronic Illness Care
title_full_unstemmed Using Goal-Directed Design to Create a Novel System for Improving Chronic Illness Care
title_short Using Goal-Directed Design to Create a Novel System for Improving Chronic Illness Care
title_sort using goal-directed design to create a novel system for improving chronic illness care
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3841377/
https://www.ncbi.nlm.nih.gov/pubmed/24168835
http://dx.doi.org/10.2196/resprot.2749
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