Evidence map›Paper›PMID 34383664›Full record

ArticleJMIR human factors2021

Designing Consumer Health Information Technology to Support Biform and Articulation Work: A Qualitative Study of Diet and Nutrition Management as Patient Work.

Courtney C Rogers, Thomas J Moutinho, Xiaoyue Liu, Rupa S Valdez

Abstract read
In one paragraph

Article in JMIR human factors, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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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

4 authors.

Courtney C Rogers *Department of Engineering Systems and Environment, University of Virginia, Charlottesville, VA, United States.ORCID https://orcid.org/0000-0001-6254-6728
Thomas J MoutinhoDepartment of Biomedical Engineering, University of Virginia, Charlottesville, VA, United States.ORCID https://orcid.org/0000-0002-8940-4970
Xiaoyue LiuSchool of Nursing, University of Virginia, Charlottesville, VA, United States.ORCID https://orcid.org/0000-0003-2808-6339
Rupa S ValdezDepartment of Engineering Systems and Environment, University of Virginia, Charlottesville, VA, United States.ORCID https://orcid.org/0000-0002-5125-0793

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiet and nutrition management is an integral component of Crohn disease (CD) management. This type of management is highly variable and individualized and, thus, requires personalized approaches. Consumer health information technology (CHIT) designed to support CD management has typically supported this task as everyday life work and, not necessarily, as illness work. Moreover, CHIT has rarely supported the ways in which diet and nutrition management requires coordination between multiple forms of patient work.

objectiveThe purpose of this study was to investigate diet and nutrition management as biform work, identify components of articulation work, and provide guidance on how to design CHIT to support this work.

methodsWe performed a qualitative study in which we recruited participants from CD-related Facebook pages and groups.

resultsSemistructured interviews with 21 individuals showed that diet and nutrition management strategies were highly individualized and variable. Four themes emerged from the data, emphasizing the interactions of diet and nutrition with physical, emotional, information, and technology-enabled management.

conclusionsThis study shows that the extent to which diet and nutrition management is biform work fluctuates over time and that articulation work can be continuous and unplanned. The design guidance specifies the need for patient-facing technologies to support interactions among diet and nutrition and other management activities such as medication intake, stress reduction, and information seeking, as well as to respond to the ways in which diet and nutrition management needs change over time.

Indexed as

articulation workchronic diseaseconsumer health information technologycontextCrohn diseasedietinflammatory bowel diseasesnutritionpatient workqualitative researchself-managementuser-centered design

Identifiers

PMID34383664
PMCPMC8386363

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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.