Rate and predictors for non-attendance of patients undergoing hospital outpatient treatment for chronic diseases: a register-based cohort study.

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Version: Final published version
License: CC BY 4.0
Serval ID
serval:BIB_0A92195DC513
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Rate and predictors for non-attendance of patients undergoing hospital outpatient treatment for chronic diseases: a register-based cohort study.
Journal
BMC health services research
Author(s)
Wolff D.L., Waldorff F.B., von Plessen C., Mogensen C.B., Sørensen T.L., Houlind K.C., Bogh S.B., Rubin K.H.
ISSN
1472-6963 (Electronic)
ISSN-L
1472-6963
Publication state
Published
Issued date
14/06/2019
Peer-reviewed
Oui
Volume
19
Number
1
Pages
386
Language
english
Notes
Publication types: Journal Article
Publication Status: epublish
Abstract
Failure to keep medical appointments results in inefficiencies and, potentially, in poor outcomes for patients. The aim of this study is to describe non-attendance rate and to investigate predictors of non-attendance among patients receiving hospital outpatient treatment for chronic diseases.
We conducted a historic, register-based cohort study using data from a regional hospital and included patients aged 18 years or over who were registered in ongoing outpatient treatment courses for seven selected chronic diseases on July 1, 2013. A total of 5895 patients were included and information about their appointments was extracted from the period between July 1, 2013 and June 30, 2015. The outcome measure was occurrence of non-attendance. The associations between non-attendance and covariates (age, gender, marital status, education level, occupational status, specific chronic disease and number of outpatient treatment courses) were investigated using multivariate logistic regression models, including mixed effect.
During the two-year period, 35% of all patients (2057 of 5895 patients) had one or more occurrences of non-attendance and 5% of all appointments (4393 of 82,989 appointments) resulted in non-attendance. Significant predictors for non-attendance were younger age (OR 4.17 for 18 ≤ 29 years as opposed to 80+ years), male gender (OR 1.35), unmarried status (OR 1.39), low educational level (OR 1.18) and receipt of long-term welfare payments (OR 1.48). Neither specific diseases nor number of treatment courses were associated with a higher non-attendance rate.
Patients undergoing hospital outpatient treatments for chronic diseases had a non-attendance rate of 5%. We found several predictors for non-attendance but undergoing treatment for several chronic diseases simultaneously was not a predictor. To reduce non-attendance, initiatives could target the groups at risk.
This study was approved by the Danish Data Protection Agency (Project ID 18/35695 ).
Keywords
Appointments, Attendance rate, Chronic patients, Hospital outpatient clinic, No-show, Non-attendance, Predictors
Pubmed
Web of science
Open Access
Yes
Create date
30/06/2019 16:07
Last modification date
30/04/2021 7:08
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