Self-Management Characterization for Families of Children With Medical Complexity and Their Social Networks: Protocol for a Qualitative Assessment.

dc.contributor.author

Valdez, Rupa S

dc.contributor.author

Lunsford, Christopher

dc.contributor.author

Bae, Jiwoon

dc.contributor.author

Letzkus, Lisa C

dc.contributor.author

Keim-Malpass, Jessica

dc.date.accessioned

2022-06-14T16:10:43Z

dc.date.available

2022-06-14T16:10:43Z

dc.date.issued

2020-01-23

dc.date.updated

2022-06-14T16:10:43Z

dc.description.abstract

BACKGROUND:Children with medical complexity (CMC) present rewarding but complex challenges for the health care system. Transforming high-quality care practices for this population requires multiple stakeholders and development of innovative models of care. Importantly, care coordination requires significant self-management by families in home- and community-based settings. Self-management often requires that families of CMC rely on vast and diverse social networks, encompassing both online and offline social relationships with individuals and groups. The result is a support network surrounding the family to help accomplish self-management of medical tasks and care coordination. OBJECTIVE:The goal of this study is to use a theoretically driven perspective to systematically elucidate the range of self-management experiences across families of CMC embedded in diverse social networks and contextual environments. This approach will allow for characterization of the structure and process of self-management of CMC with respect to social networks, both in person and digitally. This research proposal aims to address the significant gaps in the self-management literature surrounding CMC, including the following: (1) how self-management responsibilities are distributed and negotiated among the social network and (2) how individual-, family-, and system-level factors influence self-management approaches for CMC from a theoretically driven perspective. METHODS:This study will encompass a qualitative descriptive approach to understand self-management practices among CMC and their social networks. Data collection and analysis will be guided by a theoretical and methodological framework, which synthesizes perspectives from nursing, human factors engineering, public health, and family counseling. Data collection will consist of semistructured interviews with children, parents, and social network members, inclusive of individuals such as friends, neighbors, and community members, as well as online communities and individuals. Data analysis will consist of a combination of inductive and deductive methods of qualitative content analysis, which will be analyzed at both individual and multiadic levels, where interview data from two or more individuals, focused on the same experience, will be comparatively analyzed. RESULTS:This study will take approximately 18 months to complete. Our long-term goals are to translate the qualitative analysis into (1) health IT design guidance for innovative approaches to self-management and (2) direct policy guidance for families of CMC enrolled in Medicaid and private insurance. CONCLUSIONS:Multiple innovative components of this study will enable us to gain a comprehensive and nuanced understanding of the lived experience of self-management of CMC. In particular, by synthesizing and applying theoretical and methodological approaches from multiple disciplines, we plan to create novel informatics and policy solutions to support their care within home and community settings. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID):PRR1-10.2196/14810.

dc.identifier

v9i1e14810

dc.identifier.issn

1929-0748

dc.identifier.issn

1929-0748

dc.identifier.uri

https://hdl.handle.net/10161/25111

dc.language

eng

dc.publisher

JMIR Publications Inc.

dc.relation.ispartof

JMIR research protocols

dc.relation.isversionof

10.2196/14810

dc.subject

care coordination

dc.subject

children with medical complexity

dc.subject

contextual environment

dc.subject

family management

dc.subject

health care self-management

dc.subject

multiadic analysis

dc.subject

qualitative description

dc.subject

social network

dc.title

Self-Management Characterization for Families of Children With Medical Complexity and Their Social Networks: Protocol for a Qualitative Assessment.

dc.type

Journal article

duke.contributor.orcid

Lunsford, Christopher|0000-0001-9626-5887

pubs.begin-page

e14810

pubs.issue

1

pubs.organisational-group

Duke

pubs.organisational-group

School of Medicine

pubs.organisational-group

Clinical Science Departments

pubs.organisational-group

Orthopaedics

pubs.organisational-group

Pediatrics

pubs.publication-status

Published

pubs.volume

9

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Valdez 2020 - Self-Management Characterization.pdf
Size:
225.37 KB
Format:
Adobe Portable Document Format