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Experiences with developing and implementing a virtual clinic for glaucoma care in an NHS setting

Overview of attention for article published in Clinical Ophthalmology, October 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

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3 X users
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1 Google+ user

Citations

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Readers on

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103 Mendeley
Title
Experiences with developing and implementing a virtual clinic for glaucoma care in an NHS setting
Published in
Clinical Ophthalmology, October 2015
DOI 10.2147/opth.s92409
Pubmed ID
Authors

Aachal Kotecha, Alex Baldwin, John Brookes, Paul J Foster

Abstract

This article describes the development of a virtual glaucoma clinic, whereby technicians collect information for remote review by a consultant specialist. This was a hospital-based service evaluation study. Patients suitable for the stable monitoring service (SMS) were low-risk patients with "suspect", "early"-to-"moderate" glaucoma who were deemed stable by their consultant care team. Three technicians and one health care assistant ran the service. Patients underwent tests in a streamlined manner in a dedicated clinical facility, with virtual review of data by a consultant specialist through an electronic patient record. Feasibility of developing a novel service within a UK National Health Service setting and improvement of patient journey time within the service were studied. Challenges to implementation of virtual clinic include staffing issues and use of information technology. Patient journey time within the SMS averaged 51 minutes, compared with 92 minutes in the glaucoma outpatient department. Patient satisfaction with the new service was high. Implementing innovation into existing services of the National Health Service is challenging. However, the virtual clinic showed an improved patient journey time compared with that experienced within the general glaucoma outpatient department. There exists a discrepancy between patient management decisions of reviewers, suggesting that some may be more risk averse than others when managing patients seen within this model. Future work will assess the ability to detect progression of disease in this model compared with the general outpatient model of care.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 103 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 13%
Researcher 12 12%
Student > Bachelor 9 9%
Other 8 8%
Student > Ph. D. Student 6 6%
Other 19 18%
Unknown 36 35%
Readers by discipline Count As %
Medicine and Dentistry 34 33%
Nursing and Health Professions 11 11%
Agricultural and Biological Sciences 4 4%
Psychology 4 4%
Economics, Econometrics and Finance 2 2%
Other 11 11%
Unknown 37 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 October 2016.
All research outputs
#14,600,553
of 25,374,647 outputs
Outputs from Clinical Ophthalmology
#1,036
of 3,712 outputs
Outputs of similar age
#132,245
of 286,876 outputs
Outputs of similar age from Clinical Ophthalmology
#20
of 81 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,712 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 70% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 286,876 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 81 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.