Evidence map›Paper›PMID 33560229›Full record

ArticleJMIR formative research2021

Designing a Personalized Health Dashboard: Interdisciplinary and Participatory Approach.

Miriam Weijers, Caroline Bastiaenen, Frans Feron, Kay Schröder

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Article in JMIR formative research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

7 citing papers in PubMed.

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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

4 authors.

Miriam Weijers *Department of Preventive Child Health Care, Municipal Health Services, Southern Limburg, Heerlen, Netherlands.ORCID https://orcid.org/0000-0002-8058-9550
Caroline BastiaenenDepartment of Epidemiology, Faculty of Health, Medicine and Life Sciences, Care and Public Health Research Institute, Maastricht University, Maastricht, Netherlands.ORCID https://orcid.org/0000-0002-5083-6864
Frans FeronDepartment of Social Medicine, Faculty of Health, Medicine and Life Sciences, Care and Public Health Research Institute, Maastricht University, Maastricht, Netherlands.ORCID https://orcid.org/0000-0002-9633-7921
Kay Schröder *Data Visualization, Zuyd University of Applied Sciences, Heerlen, Netherlands.ORCID https://orcid.org/0000-0002-5106-3656

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWithin the Dutch Child Health Care (CHC), an online tool (360° CHILD-profile) is designed to enhance prevention and transformation toward personalized health care. From a personalized preventive perspective, it is of fundamental importance to timely identify children with emerging health problems interrelated to multiple health determinants. While digitalization of children's health data is now realized, the accessibility of data remains a major challenge for CHC professionals, let alone for parents/youth. Therefore, the idea was initiated from CHC practice to develop a novel approach to make relevant information accessible at a glance.

objectiveThis paper describes the stepwise development of a dashboard, as an example of using a design model to achieve visualization of a comprehensive overview of theoretically structured health data.

methodsDevelopmental process is based on the nested design model with involvement of relevant stakeholders in a real-life context. This model considers immediate upstream validation within 4 cascading design levels: Domain Problem and Data Characterization, Operation and Data Type Abstraction, Visual Encoding and Interaction Design, and Algorithm Design. This model also includes impact-oriented downstream validation, which can be initiated after delivering the prototype.

resultsA comprehensible 360° CHILD-profile is developed: an online accessible visualization of CHC data based on the theoretical concept of the International Classification of Functioning, Disability and Health. This dashboard provides caregivers and parents/youth with a holistic view on children's health and "entry points" for preventive, individualized health plans.

conclusionsDescribing this developmental process offers guidance on how to utilize the nested design model within a health care context.

Indexed as

dashboardevaluationhealth information visualizationhuman–computer interactionInternational Classification of Functioning, Disability and Health (ICF)patient access to recordspersonalized health carevisualization design model

Identifiers

PMID33560229
PMCPMC7902185

What OpenQuestion holds

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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.