Evidence map›Paper›PMID 36970116›Full record

ArticleOphthalmology science2023

Systematic User-centered Design of a Prototype Clinical Decision Support System for Glaucoma.

Brian C Stagg, Benton Tullis, Afua Asare, Joshua D Stein, Felipe A Medeiros, Charlene Weir, Damian Borbolla, Rachel Hess, Kensaku Kawamoto

Abstract read
In one paragraph

Article in Ophthalmology science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. 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

9 authors.

Brian C StaggDepartment of Ophthalmology and Visual Sciences, John Moran Eye Center, University of Utah, Salt Lake City, Utah.
Benton TullisSchool of Medicine, University of Utah, Salt Lake City, Utah.
Afua AsareDepartment of Ophthalmology and Visual Sciences, John Moran Eye Center, University of Utah, Salt Lake City, Utah.
Joshua D SteinDepartment of Ophthalmology and Visual Sciences, Center for Eye Policy & Innovation, Kellogg Eye Center, University of Michigan, Ann Arbor, Michigan.
Felipe A MedeirosDuke Eye Center, Duke University, Durham, North Carolina.
Charlene WeirDepartment of Biomedical Informatics, University of Utah, Salt Lake City, Utah.
Damian BorbollaDepartment of Biomedical Informatics, University of Utah, Salt Lake City, Utah.
Rachel HessDepartment of Population Health Sciences, University of Utah, Salt Lake City, Utah.
Kensaku KawamotoDepartment of Biomedical Informatics, University of Utah, Salt Lake City, Utah.

Funding

Personalized Forecasting of Disease Trajectory for Patients with Open Angle GlaucomaR01EY026641 · NEI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LAVIERI-WILLIAMS, MARIEL SOFIA, STEIN, JOSHUA D · 2016 to 2020
$2.9M
The BCI (Brain Computer Interface) Glaucoma Study: Objective Home-Based Detection of Progressive Visual Function Loss in GlaucomaR01EY029885 · NEI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI ASRANI, SANJAY, MEDEIROS, FELIPE · 2019 to 2022
$2.2M
Improving Glaucoma Care Using a Scalable Decision Support SystemK23EY032577 · NEI · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Brian Stagg · 2022 to 2026
$1.3M
NEI NIH HHS K23 EY032577NEI NIH HHS R01 EY026641NEI NIH HHS R01 EY029885
6 · The paper itself

Abstract

Purpose: To rigorously develop a prototype clinical decision support (CDS) system to help clinicians determine the appropriate timing for follow-up visual field testing for patients with glaucoma and to identify themes regarding the context of use for glaucoma CDS systems, design requirements, and design solutions to meet these requirements. Design: Semistructured qualitative interviews and iterative design cycles. Participants: Clinicians who care for patients with glaucoma, purposefully sampled to ensure a representation of a range of clinical specialties (glaucoma specialist, general ophthalmologist, optometrist) and years in clinical practice. Methods: Using the established User-Centered Design Process framework, we conducted semistructured interviews with 5 clinicians that addressed the context of use and design requirements for a glaucoma CDS system. We analyzed the interviews using inductive thematic analysis and grounded theory to generate themes regarding the context of use and design requirements. We created design solutions to address these requirements and used iterative design cycles with the clinicians to refine the CDS prototype. Main Outcome Measures: Themes regarding decision support for determining the timing of visual field testing for patients with glaucoma, CDS design requirements, and CDS design features. Results: We identified 9 themes that addressed the context of use for the CDS system, 9 design requirements for the prototype CDS system, and 9 design features intended to address these design requirements. Key design requirements included the preservation of clinician autonomy, incorporation of currently used heuristics, compilation of data, and increasing and communicating the level of certainty regarding the decision. After completing 3 iterative design cycles using this preliminary CDS system design solution, the design was satisfactory to the clinicians and was accepted as our prototype glaucoma CDS system. Conclusions: We used a systematic design process based on the established User-Centered Design Process to rigorously develop a prototype glaucoma CDS system, which will be used as a starting point for a future, large-scale iterative refinement and implementation process. Clinicians who care for patients with glaucoma need CDS systems that preserve clinician autonomy, compile and present data, incorporate currently used heuristics, and increase and communicate the level of certainty regarding the decision. Financial Disclosures: Proprietary or commercial disclosure may be found after the references.

Indexed as

Clinical decision supportInformaticsPerimetryPersonalized medicineVisual field testing

Identifiers

PMID36970116
PMCPMC10033738

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.