Evidence map›Paper›PMID 32314968›Full record

ArticleJournal of medical Internet research2020

Developing an Intranet-Based Lymphedema Dashboard for Breast Cancer Multidisciplinary Teams: Design Research Study.

Anna Janssen, Candice Donnelly, Judy Kay, Peter Thiem, Aldo Saavedra, Nirmala Pathmanathan, Elisabeth Elder, Phuong Dinh, Masrura Kabir, Kirsten Jackson and 2 more

Open access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 8% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. A Taxonomy for Health Information Systems.Journal of medical Internet research · 2024
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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

12 authors at 1 institution in 1 country.

Anna JanssenResearch in Implementation Science and eHealth Group, Faculty of Health Sciences, The University of Sydney, Sydney, Australia.ORCID 0000-0001-6611-9651
Candice DonnellyResearch in Implementation Science and eHealth Group, Faculty of Health Sciences, The University of Sydney, Sydney, Australia.ORCID 0000-0003-4398-2908
Judy KayFaculty of Engineering, The University of Sydney, Sydney, Australia.ORCID 0000-0001-6728-2768
Peter ThiemSydney Informatics Hub, The University of Sydney, Sydney, Australia.ORCID 0000-0001-8443-8349
Aldo SaavedraSydney Informatics Hub, The University of Sydney, Sydney, Australia.ORCID 0000-0002-9759-0013
Nirmala PathmanathanWestmead Breast Cancer Institute, Sydney, Australia.ORCID 0000-0001-9225-139X
Elisabeth ElderWestmead Breast Cancer Institute, Sydney, Australia.ORCID 0000-0002-6686-9898
Phuong DinhSydney Medical School, The University of Sydney, Sydney, Australia.ORCID 0000-0003-1662-7759
Masrura KabirWestmead Breast Cancer Institute, Sydney, Australia.ORCID 0000-0002-3841-3578
Kirsten JacksonResearch in Implementation Science and eHealth Group, Faculty of Health Sciences, The University of Sydney, Sydney, Australia.ORCID 0000-0001-8166-3575
Paul HarnettSydney West Translational Cancer Research Centre, Sydney, Australia.ORCID 0000-0001-7021-0642
Tim ShawResearch in Implementation Science and eHealth Group, Faculty of Health Sciences, The University of Sydney, Sydney, Australia.ORCID 0000-0003-0783-1918
The University of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA large quantity of data is collected during the delivery of cancer care. However, once collected, these data are difficult for health professionals to access to support clinical decision making and performance review. There is a need for innovative tools that make clinical data more accessible to support health professionals in these activities. One approach for providing health professionals with access to clinical data is to create the infrastructure and interface for a clinical dashboard to make data accessible in a timely and relevant manner.

objectiveThis study aimed to develop and evaluate 2 prototype dashboards for displaying data on the identification and management of lymphedema.

methodsThe study used a co-design framework to develop 2 prototype dashboards for use by health professionals delivering breast cancer care. The key feature of these dashboards was an approach for visualizing lymphedema patient cohort and individual patient data. This project began with 2 focus group sessions conducted with members of a breast cancer multidisciplinary team (n=33) and a breast cancer consumer (n=1) to establish clinically relevant and appropriate data for presentation and the visualization requirements for a dashboard. A series of fortnightly meetings over 6 months with an Advisory Committee (n=10) occurred to inform and refine the development of a static mock-up dashboard. This mock-up was then presented to representatives of the multidisciplinary team (n=3) to get preliminary feedback about the design and use of such dashboards. Feedback from these presentations was reviewed and used to inform the development of the interactive prototypes. A structured evaluation was conducted on the prototypes, using Think Aloud Protocol and semistructured interviews with representatives of the multidisciplinary team (n=5).

resultsLymphedema was selected as a clinically relevant area for the prototype dashboards. A qualitative evaluation is reported for 5 health professionals. These participants were selected from 3 specialties: surgery (n=1), radiation oncology (n=2), and occupational therapy (n=2). Participants were able to complete the majority of tasks on the dashboard. Semistructured interview themes were categorized into engagement or enthusiasm for the dashboard, user experience, and data quality and completeness.

conclusionsFindings from this study constitute the first report of a co-design process for creating a lymphedema dashboard for breast cancer health professionals. Health professionals are interested in the use of data visualization tools to make routinely collected clinical data more accessible. To be used effectively, dashboards need to be reliable and sourced from accurate and comprehensive data sets. While the co-design process used to develop the visualization tool proved effective for designing an individual patient dashboard, the complexity and accessibility of the data required for a cohort dashboard remained a challenge.

Indexed as

Breast NeoplasmsComputer Communication NetworksData DisplayFemaleFocus GroupsHumansLymphedemaResearch Designclinical informaticsdata visualizationeHealthhuman-centered design

Identifiers

PMID32314968
PMCPMC7201315
OpenAlexW2970431434

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.