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Association between age and outpatient clinic arrival time: myth or reality?

Overview of attention for article published in BMC Health Services Research, April 2018
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Title
Association between age and outpatient clinic arrival time: myth or reality?
Published in
BMC Health Services Research, April 2018
DOI 10.1186/s12913-018-3057-2
Pubmed ID
Authors

Kashif Waqar Faiz, Espen Saxhaug Kristoffersen

Abstract

Non-attendance and late arrivals diminish patient flow in outpatient clinics. On the other hand, patient earliness may also be undesirable. Physicians often experience that older patients are more punctual than younger patients, and often they come excessively early. The aim of this study was to determine whether an association between age and outpatient clinic arrival time could be established or not, i.e. to find out if it is a myth or a reality. Prospective descriptive study performed at a neurological outpatient clinic. Data were collected from all scheduled appointments during an eight-week period. Variables included were age, gender, appointment time, arrival time, no-shows, appointment type, need for assistance and if it was an early or late appointment. Outcomes were unpunctuality (early and late arrivals) and non-attendance. Of 1353 appointments, non-attendance rate was 9.5 and 5.1% were late arrivals. Median age increased with increased patient earliness (p <  0.001). Younger age (p = 0.007) and new referrals (p = 0.025) were associated with non-attendance. The intuition of an association between age and outpatient clinic arrival time was confirmed, thus it is a reality that older patients attend their appointments more frequently and have better punctuality than younger adults. This age effect in outpatient clinics should be considered when developing future simulation models and intervention studies.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 20%
Student > Doctoral Student 6 13%
Student > Ph. D. Student 5 11%
Other 4 9%
Student > Bachelor 3 7%
Other 10 22%
Unknown 9 20%
Readers by discipline Count As %
Nursing and Health Professions 10 22%
Medicine and Dentistry 9 20%
Psychology 4 9%
Business, Management and Accounting 3 7%
Engineering 3 7%
Other 3 7%
Unknown 14 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 12 December 2018.
All research outputs
#18,598,273
of 23,036,991 outputs
Outputs from BMC Health Services Research
#6,550
of 7,714 outputs
Outputs of similar age
#255,560
of 328,965 outputs
Outputs of similar age from BMC Health Services Research
#179
of 210 outputs
Altmetric has tracked 23,036,991 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,714 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one is in the 6th percentile – i.e., 6% of its peers scored the same or lower than it.
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 328,965 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 210 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.