Evidence map›Paper›PMID 35171226›Full record

ArticleTranslational vision science & technology2022

Implementation of an Online Glaucoma-Specific Quality of Life Computerized Adaptive Test System in a US Glaucoma Hospital.

Eva K Fenwick, Ana M Roldan, Omar A Halawa, Ryan S Meshkin, Nazlee Zebardast, Vesselin Popov, Przemyslaw Lis, David S Friedman, Ecosse L Lamoureux

Open access · goldAbstract read
In one paragraph

Article in Translational vision science & technology, 2022. 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
2.4field-weighted citation impact, top 12% 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, 12 citations in OpenAlex.

  1. Pooled it
  2. Quality of life item banks for type 2 diabetes: psychometric evaluation and computerized adaptive testing simulations.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
    Article
  3. Article
  4. Current perspectives in tackling glaucoma blindness.Indian journal of ophthalmology · 2025
    Review
  5. Measurement of visual functioning following first and second eye cataract surgery using Vision-Related Activity Limitation Item Bank.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2024
    Article
  6. Article
  7. Article
  8. Quality of life in glaucoma.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2023
    Review
  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

9 authors at 5 institutions in 4 countries.

Eva K FenwickSingapore Eye Research Institute, Singapore National Eye Centre, Singapore.
Ana M RoldanHarvard Medical School, Boston, MA, USA.
Omar A HalawaHarvard Medical School, Boston, MA, USA.
Ryan S MeshkinHarvard Medical School, Boston, MA, USA.
Nazlee ZebardastHarvard Medical School, Boston, MA, USA.
Vesselin PopovThe Psychometrics Centre, University of Cambridge, UK.
Przemyslaw LisThe Psychometrics Centre, University of Cambridge, UK.
David S FriedmanHarvard Medical School, Boston, MA, USA.
Ecosse L LamoureuxSingapore Eye Research Institute, Singapore National Eye Centre, Singapore.
Harvard University · USMassachusetts Eye and Ear Infirmary · USUniversity of Cambridge · GBDuke-NUS Medical School · SGSingapore National Eye Center · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe feasibility of implementing a computerized adaptive test (CAT) system in routine clinical care in ophthalmology has not been assessed. We evaluated the implementation of a glaucoma-specific CAT (GlauCAT) in outpatients at Massachusetts Eye and Ear Institute.

methodsIn this implementation study (July 2020-April 2021), 216 adults (mean ± SD age 64.8 ± 15.3 years; 56.0% women) completed six adaptive GlauCAT quality of life (QOL) tests on an internet-enabled tablet at the clinic. A real-time printable report summarizing domain scores was shared with physicians prior to consultation. The implementation was evaluated using Proctor's outcomes: acceptability (patient satisfaction); appropriateness (independent complete rate [%]); feasibility (acceptance rate [%]; completion time); and fidelity (percentage of patients discussing GlauCAT results with their physician). Physician barriers/facilitators were explored using open-ended questions.

resultsPatients' mean ± SD satisfaction score was 3.5 ± 0.5 of 4, with >95% of patients willing to recommend it to others. Of the 216 (89.2%) patients accepting to participate, 173 (80%) completed GlauCAT independently. Patients took 8 minutes and 5 seconds (median) to complete all 6 GlauCAT tests. Almost two-thirds (n = 136/216) of the patients reported discussing their GlauCAT results with their doctor. Physicians described the GlauCAT summary report as helpful and user-friendly, although lack of time and uncertainty about how to action information were reported.

conclusionsPilot implementation of six GlauCAT QOL tests in glaucoma outpatient clinics was feasible and acceptable. Integration of GlauCAT with electronic medical records (EMRs) and evaluation of long-term implementation outcomes are needed. TRANSLATIONAL RELEVANCE: GlauCAT's multiple outcomes and low test-taking burden makes it attractive for measuring glaucoma-specific QOL in routine clinical care.

Indexed as

GlaucomaQuality of LifeAmbulatory Care FacilitiesFemaleHospitalsHumansMalePatient Satisfaction

Identifiers

PMID35171226
PMCPMC8857615
OpenAlexW4213256041

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.