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Weekday Affects Attendance Rate for Medical Appointments: Large-Scale Data Analysis and Implications

Overview of attention for article published in PLOS ONE, December 2012
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
6 news outlets
twitter
11 X users
facebook
1 Facebook page
video
1 YouTube creator

Citations

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40 Dimensions

Readers on

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111 Mendeley
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Title
Weekday Affects Attendance Rate for Medical Appointments: Large-Scale Data Analysis and Implications
Published in
PLOS ONE, December 2012
DOI 10.1371/journal.pone.0051365
Pubmed ID
Authors

David A. Ellis, Rob Jenkins

Abstract

The financial cost of missed appointments is so great that even a small percentage reduction in Did Not Attend (DNA) rate could save significant sums of money. Previous studies have identified many factors that predict DNA rate, including patient age, gender, and transport options. However, it is not obvious how healthcare providers can use this information to improve attendance, as such factors are not under their control. One factor that is under administrative control is appointment scheduling. Here we asked whether DNA rate could be reduced by altering scheduling policy. In Study 1, we examined attendance records for 4,538,294 outpatient hospital appointments across Scotland between January 1st 2008 and December 31st 2010. DNA rate was highest for Mondays (11%), lowest for Fridays (9.7%), and decreased monotonically over the week (Monday-Friday comparison [χ(2)(1, N  = 1,585,545)  = 722.33, p<0.0001]; Relative Risk Reduction 11.8%). This weekly decline was present for male and female patient groups of all ages, but was steeper for younger age groups. In Study 2, we examined attendance records for 10,895 appointments at a single GP clinic in Glasgow. Here again, DNA rate was highest for Mondays (6.2%), lowest for Fridays (4.2%), and decreased monotonically over the week (Monday-Friday comparison [χ(2)(1, N  = 4767)  = 9.20, p<0.01]; Relative Risk Reduction 32.3%). In two very different settings, appointments at the beginning of the week were more likely to be missed than appointments at the end of the week. We suggest that DNA rate could be significantly reduced by preferentially loading appointments onto high-attendance days.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 3%
Japan 1 <1%
New Zealand 1 <1%
Nigeria 1 <1%
Unknown 105 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 30 27%
Student > Bachelor 19 17%
Researcher 16 14%
Student > Ph. D. Student 10 9%
Student > Postgraduate 7 6%
Other 15 14%
Unknown 14 13%
Readers by discipline Count As %
Medicine and Dentistry 27 24%
Nursing and Health Professions 17 15%
Psychology 16 14%
Social Sciences 8 7%
Computer Science 7 6%
Other 14 13%
Unknown 22 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 49. 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 29 September 2022.
All research outputs
#810,296
of 24,525,534 outputs
Outputs from PLOS ONE
#10,869
of 211,914 outputs
Outputs of similar age
#6,181
of 288,212 outputs
Outputs of similar age from PLOS ONE
#218
of 4,872 outputs
Altmetric has tracked 24,525,534 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 211,914 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.6. This one has done particularly well, scoring higher than 94% 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 288,212 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 4,872 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.