Evidence map›Paper›PMID 37801346›Full record

ArticleJMIR formative research2023

Establishing the Need for Anticipatory Symptom Guidance and Networked Models of Disease in Adaptive Family Management Among Children With Medical Complexity: Qualitative Study.

Jessica Keim-Malpass, Christopher Lunsford, Lisa C Letzkus, Eleanore Scheer, Rupa S Valdez

Open access · goldAbstract read
In one paragraph

Article in JMIR formative research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.8field-weighted citation impact, top 14% of its field
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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

5 authors at 3 institutions in 1 country.

Jessica Keim-MalpassDivision of Pediatric Hematology-Oncology, Department of Pediatrics, University of Virginia School of Medicine, Charlottesville, VA, United States.ORCID https://orcid.org/0000-0002-7035-8556
Christopher LunsfordDepartment of Physical Medicine and Rehabilitation, Duke University School of Medicine, Durham, NC, United States.ORCID https://orcid.org/0000-0001-9626-5887
Lisa C LetzkusDivision of Developmental Pediatrics, Department of Pediatrics, University of Virginia School of Medicine, Charlottesville, VA, United States.ORCID https://orcid.org/0000-0003-3309-7753
Eleanore ScheerDepartment of Systems and Information Engineering, University of Virginia School of Engineering and Applied Sciences, Charlottesville, VA, United States.ORCID https://orcid.org/0000-0002-3289-2256
Rupa S ValdezDepartment of Systems and Information Engineering, University of Virginia School of Engineering and Applied Sciences, Charlottesville, VA, United States.ORCID https://orcid.org/0000-0002-5125-0793
Engineering Systems (United States) · USUniversity of Virginia · USDuke University · US

Funding

Self-Management Characterization for Children with Medical Complexity and their Social NetworksR21NR017991 · NINR · UNIVERSITY OF VIRGINIA · PI KEIM-MALPASS, JESSICA, VALDEZ, RUPA SHETH · 2018 to 2019
$444k
NINR NIH HHS R21 NR017991
6 · The paper itself

Abstract

backgroundCaregivers of children with medical complexity navigate complex family management tasks for their child both in the hospital and home-based setting. The roles and relationships of members of their social network and the dynamic evolution of these family management tasks have been underexamined.

objectiveThe purpose of this study was to explore the structures and processes of family management among caregivers of children with medical complexity, with a focus on the underlying dynamic nature of family management practices and the role of members of their social network.

methodsThis study used a qualitative approach to interview caregivers of children with medical complexity and members of their social network. Caregivers of children with medical complexity were recruited through an academic Children's Hospital Complex Care Clinic in the mid-Atlantic region and interviewed over a period of 1 to 3 days. Responses were analyzed using constructivist grounded theory and situational analysis to construct a new conceptual model. Only caregiver responses are reported here.

resultsIn total, 20 caregivers were included in this analysis. Caregiver perspectives revealed the contextual processes that allowed for practices of family management within the setting of rapidly evolving symptoms and health concerns. The dynamic and adaptive nature of this process is a key underlying action supporting this novel conceptual model. The central themes underpinning the adaptive family management model include symptom cues, ongoing surveillance, information gathering, and acute on chronic health concerns. The model also highlights facilitators and threats to successful family management among children with medical complexity and the networked relationship among the structures and processes.

conclusionsThe adaptive family management model provides a basis for further quantitative operationalization and study. Previously described self- or family management frameworks do not account for the underlying dynamic nature of the disease trajectory and the developmental stage progression of the child or adolescent, and our work extends existing work. For future work, there is a defined role for technology-enhanced personalized approaches to home-based monitoring. Due to the disparities caregivers and the children in this population already experience, technology-enhanced approaches must be built alongside key stakeholders with an equity orientation to technology co-development. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/14810.

Indexed as

anticipatory symptom managementcare coordinationcaregivercaregiverscaregivingchildchildrenchildren with medical complexityconceptualconstructivistcoordinated caredisabilitydisease progression modelsfamilyfamily managementgrounded theoryinformal careinterviewinterviewsmobile phonemodelnetworked models of diseasepediatricpediatricsprecisionprecision healthqualitativeself-managementsituational analysissocial networksocial networkingsocial networkssocial supportsymptom managementweb-based networkweb-based networks

Identifiers

PMID37801346
PMCPMC10704321
OpenAlexW4387393249

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.