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

BACKGROUND: 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 dise...

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Autores principales: Wolff, Donna Lykke, Waldorff, Frans Boch, von Plessen, Christian, Mogensen, Christian Backer, Sørensen, Thomas Lund, Houlind, Kim Christian, Bogh, Søren Bie, Rubin, Katrine Hass
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6570866/
https://www.ncbi.nlm.nih.gov/pubmed/31200720
http://dx.doi.org/10.1186/s12913-019-4208-9
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author Wolff, Donna Lykke
Waldorff, Frans Boch
von Plessen, Christian
Mogensen, Christian Backer
Sørensen, Thomas Lund
Houlind, Kim Christian
Bogh, Søren Bie
Rubin, Katrine Hass
author_facet Wolff, Donna Lykke
Waldorff, Frans Boch
von Plessen, Christian
Mogensen, Christian Backer
Sørensen, Thomas Lund
Houlind, Kim Christian
Bogh, Søren Bie
Rubin, Katrine Hass
author_sort Wolff, Donna Lykke
collection PubMed
description BACKGROUND: 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. METHODS: 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. RESULTS: 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. CONCLUSIONS: 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. TRIAL REGISTRATION: This study was approved by the Danish Data Protection Agency (Project ID 18/35695). ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12913-019-4208-9) contains supplementary material, which is available to authorized users.
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spelling pubmed-65708662019-06-27 Rate and predictors for non-attendance of patients undergoing hospital outpatient treatment for chronic diseases: a register-based cohort study Wolff, Donna Lykke Waldorff, Frans Boch von Plessen, Christian Mogensen, Christian Backer Sørensen, Thomas Lund Houlind, Kim Christian Bogh, Søren Bie Rubin, Katrine Hass BMC Health Serv Res Research Article BACKGROUND: 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. METHODS: 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. RESULTS: 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. CONCLUSIONS: 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. TRIAL REGISTRATION: This study was approved by the Danish Data Protection Agency (Project ID 18/35695). ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12913-019-4208-9) contains supplementary material, which is available to authorized users. BioMed Central 2019-06-14 /pmc/articles/PMC6570866/ /pubmed/31200720 http://dx.doi.org/10.1186/s12913-019-4208-9 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Wolff, Donna Lykke
Waldorff, Frans Boch
von Plessen, Christian
Mogensen, Christian Backer
Sørensen, Thomas Lund
Houlind, Kim Christian
Bogh, Søren Bie
Rubin, Katrine Hass
Rate and predictors for non-attendance of patients undergoing hospital outpatient treatment for chronic diseases: a register-based cohort study
title Rate and predictors for non-attendance of patients undergoing hospital outpatient treatment for chronic diseases: a register-based cohort study
title_full Rate and predictors for non-attendance of patients undergoing hospital outpatient treatment for chronic diseases: a register-based cohort study
title_fullStr Rate and predictors for non-attendance of patients undergoing hospital outpatient treatment for chronic diseases: a register-based cohort study
title_full_unstemmed Rate and predictors for non-attendance of patients undergoing hospital outpatient treatment for chronic diseases: a register-based cohort study
title_short Rate and predictors for non-attendance of patients undergoing hospital outpatient treatment for chronic diseases: a register-based cohort study
title_sort rate and predictors for non-attendance of patients undergoing hospital outpatient treatment for chronic diseases: a register-based cohort study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6570866/
https://www.ncbi.nlm.nih.gov/pubmed/31200720
http://dx.doi.org/10.1186/s12913-019-4208-9
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