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. 2018 Apr 2;18(1):235.
doi: 10.1186/s12913-018-3057-2.

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

Kashif Waqar Faiz  1   2 , Espen Saxhaug Kristoffersen  3   4
Affiliations

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

Kashif Waqar Faiz et al. BMC Health Serv Res. .

Abstract

Background: 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.

Methods: 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.

Results: 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.

Conclusions: 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.

Keywords: Age; Non-attendance; Outpatient clinic; Patient flow; Unpunctuality.

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Conflict of interest statement

Ethics approval and consent to participate

The study was considered a quality assurance project, which, according to Norwegian law on medical research, does not require an approval by the Regional Ethics Committee, nor a written patient consent. The Data Protection Authorities at Akershus University Hospital approved the study (reference number 13–106).

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Figures

Fig. 1
Fig. 1
Age distribution for the total study population, show-ups and early arrivalss
Fig. 2
Fig. 2
Age distribution in four unpunctuality groups; < 0 min = late arrivals; > 0 min = early arrivals
Fig. 3
Fig. 3
a, b Non-linear effects of age on arrival time using regression models with splines
Fig. 4
Fig. 4
Non-linear effects of age on non-attendance and late arrival using regression models with splines
See this image and copyright information in PMC

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