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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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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.

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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%