Evidence map›Paper›PMID 35394442›Full record

ArticleJMIR human factors2022

A Participatory Design Approach to Develop Visualization of Wearable Actigraphy Data for Health Care Professionals: Case Study in Qatar.

Kamran Khowaja, Wafa Waheeda Syed, Meghna Singh, Shahrad Taheri, Odette Chagoury, Dena Al-Thani, Michaël Aupetit

Open access · goldAbstract read
In one paragraph

Article in JMIR human factors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 31% 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, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  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

7 authors at 4 institutions in 3 countries.

Kamran KhowajaInformation and Computing Technology Division, College of Science and Engineering, Hamad Bin Khalifa University, Education City, Qatar.ORCID https://orcid.org/0000-0002-0624-2428
Wafa Waheeda SyedSocial Computing, Qatar Computing Research Institute, Hamad Bin Khalifa University, Education City, Qatar.ORCID https://orcid.org/0000-0002-3745-7704
Meghna SinghDepartment of Computer Science and Engineering, University of Minnesota, Minneapolis, MN, United States.ORCID https://orcid.org/0000-0002-5772-5219
Shahrad TaheriDepartment of Medicine, Weill Cornell Medicine, Doha, Qatar.ORCID https://orcid.org/0000-0001-8314-1500
Odette ChagouryDepartment of Medicine, Weill Cornell Medicine, Doha, Qatar.ORCID https://orcid.org/0000-0002-1723-9056
Dena Al-ThaniInformation and Computing Technology Division, College of Science and Engineering, Hamad Bin Khalifa University, Education City, Qatar.ORCID https://orcid.org/0000-0002-1474-2692
Michaël AupetitSocial Computing, Qatar Computing Research Institute, Hamad Bin Khalifa University, Education City, Qatar.ORCID https://orcid.org/0000-0001-6321-5242
Hamad bin Khalifa University · QACornell University · USShaheed Zulfiqar Ali Bhutto Institute of Science and Technology · PKUniversity of Minnesota · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeveral tools have been developed for health care professionals to monitor the physical activity of their patients, but most of these tools have been considering only the needs of users in North American and European countries and applicable for only specific analytic tasks. To our knowledge, no research study has utilized the participatory design (PD) approach in the Middle East region to develop such tools, involving all the stakeholders in the product development phases, and no clear use cases have been derived from such studies that could serve future development in the field.

objectiveThis study aims to develop an interactive visualization tool (ActiVis) to support local health care professionals in monitoring the physical activity of their patients measured through wearable sensors, with the overall objective of improving the health of the Qatari population.

methodsWe used PD and user-centered design methodologies to develop ActiVis, including persona development, brainwriting, and heuristic walkthrough as part of user evaluation workshops; and use cases, heuristic walkthrough, interface walkthrough, and survey as part of expert evaluation sessions.

resultsWe derived and validated 6 data analysis use cases targeted at specific health care professionals from a collaborative design workshop and an expert user study. These use cases led to improving the design of the ActiVis tool to support the monitoring of patients' physical activity by nurses and family doctors. The ActiVis research prototype (RP) compared favorably with the Fitbit Dashboard, showing the importance of design tools specific to end users' needs rather than relying on repurposing existing tools designed for other types of users. The use cases we derived happen to be culturally agnostic, despite our assumption that the local Muslim and Arabic culture could impact the design of such visualization tools. At last, taking a step back, we reflect on running collaborative design sessions in a multicultural environment and oil-based economy.

conclusionsBeyond the development of the ActiVis tool, this study can serve other visualization and human-computer interaction designers in the region to prepare their design projects and encourage health care professionals to engage with designers and engineers to improve the tools they use for supporting their daily routine. The development of the ActiVis tool for nurses, and other visualization tools specific to family doctors and clinician researchers, is still ongoing and we plan to integrate them into an operational platform for health care professionals in Qatar in the near future.

Indexed as

brainwritinghealth care professionalheuristic walkthroughinterface walkthroughparticipatory designpersonause caseuser-centered designvisualization

Identifiers

PMID35394442
PMCPMC9034423
OpenAlexW4224311522

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.