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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 ).

OriginalsprogEngelsk
Artikelnummer386
TidsskriftBMC Health Services Research
Vol/bind19
Antal sider11
ISSN1472-6963
DOI
StatusUdgivet - 14. jun. 2019

Fingeraftryk

Cohort Studies
Outpatients
Logistic Models
Computer Security
Marital Status
Outcome Assessment (Health Care)
Education

Citer dette

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title = "Rate and predictors for non-attendance of patients undergoing hospital outpatient treatment for chronic diseases: a register-based cohort study",
abstract = "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 ).",
keywords = "Appointments, Attendance rate, Chronic patients, Hospital outpatient clinic, No-show, Non-attendance, Predictors",
author = "Wolff, {Donna Lykke} and Waldorff, {Frans Boch} and {von Plessen}, Christian and Mogensen, {Christian Backer} and S{\o}rensen, {Thomas Lund} and Houlind, {Kim Christian} and Bogh, {S{\o}ren Bie} and Rubin, {Katrine Hass}",
year = "2019",
month = "6",
day = "14",
doi = "10.1186/s12913-019-4208-9",
language = "English",
volume = "19",
journal = "B M C Health Services Research",
issn = "1472-6963",
publisher = "BioMed Central",

}

TY - JOUR

T1 - Rate and predictors for non-attendance of patients undergoing hospital outpatient treatment for chronic diseases

T2 - a register-based cohort study

AU - Wolff, Donna Lykke

AU - Waldorff, Frans Boch

AU - von Plessen, Christian

AU - Mogensen, Christian Backer

AU - Sørensen, Thomas Lund

AU - Houlind, Kim Christian

AU - Bogh, Søren Bie

AU - Rubin, Katrine Hass

PY - 2019/6/14

Y1 - 2019/6/14

N2 - 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 ).

AB - 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 ).

KW - Appointments

KW - Attendance rate

KW - Chronic patients

KW - Hospital outpatient clinic

KW - No-show

KW - Non-attendance

KW - Predictors

U2 - 10.1186/s12913-019-4208-9

DO - 10.1186/s12913-019-4208-9

M3 - Journal article

VL - 19

JO - B M C Health Services Research

JF - B M C Health Services Research

SN - 1472-6963

M1 - 386

ER -