Missed appointments in an outpatient clinic for adolescents, an approach to predict the risk of missing.

Details

Serval ID
serval:BIB_D7E83DC488C8
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Missed appointments in an outpatient clinic for adolescents, an approach to predict the risk of missing.
Journal
The Journal of Adolescent Health
Author(s)
Chariatte V., Berchtold A., Akré C., Michaud P.A., Suris J.C.
ISSN
1879-1972[electronic]
Publication state
Published
Issued date
2008
Peer-reviewed
Oui
Volume
43
Number
1
Pages
38-45
Language
english
Notes
Publication types: Journal Article
Abstract
PURPOSE: To predict the risk of an adolescent patient to miss an appointment, based on the previous appointments and on the characteristics of the patient and the appointment. METHODS: Two thousand one hundred ninety-three (1873 females) patients aged 12 to 20 years having scheduled at least four appointments were included. We assessed the rate of missed nonexcused appointments of each patient. Second, a Markovian multilevel model was used to predict the risk of defaulting. RESULTS: Forty-five percent of the patients have not missed even once, and 14% of females and 17% of males have missed >25% of their appointments. Females show two types of behaviors (an abstract concept that groups individuals based on a combination of their appointment-keeping and their recorded type of healthcare need) depending on the diagnosis. Somatic, gynecology, violence, and counseling diagnoses are mostly grouped together. In this group, having already missed and having an appointment with a paramedical provider increases the risk of missing. In the second group (eating disorders and psychiatric diagnoses) having already missed and a longer delay between appointments influence the risk of missing, although the risk is lower for this latter group. Males only show one type of behavior regarding missed appointments. Having missed a previous appointment, being older, having cancelled the next to last appointment and the type of diagnosis explain the risk of missing. CONCLUSIONS: Patients who have already defaulted have a higher risk of defaulting again. Means of control regarding missed appointments should consequently focus on defaulters, to decrease the associated workload. Reminders could be a solution for the follow-up appointments scheduled with a long delay.
Keywords
Adolescent, Adolescent Health Services/utilization, Adult, Ambulatory Care Facilities/utilization, Appointments and Schedules, Child, Continuity of Patient Care, Databases as Topic, Female, Humans, Male, Markov Chains, Patient Compliance, Risk Assessment, Switzerland
Pubmed
Web of science
Create date
06/03/2009 11:36
Last modification date
20/08/2019 16:57
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