Evidence map›Paper›PMID 31200720›Full record

ArticleBMC health services research2019

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

Donna Lykke Wolff, Frans Boch Waldorff, Christian von Plessen, Christian Backer Mogensen, Thomas Lund Sørensen, Kim Christian Houlind, Søren Bie Bogh, Katrine Hass Rubin

Registry-linked trialOpen access · goldAbstract readMulticenter Study
In one paragraph

Article in BMC health services research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06419725 (Temporal Trends in Nonattendence Rate for Scheduled Outpatient Appointments.), which is not on this map. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 2 pooled it
5.1field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT06419725 completednot on this map

Temporal Trends in Nonattendence Rate for Scheduled Outpatient Appointments.

TypeobservationalSponsorHospital Italiano de Buenos AiresRan2016 to 2023Enrolled13,823,093ConditionsPatient Non Attendance to Medical Care
3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 2 syntheses or guidelines pooled it, 73 citations in OpenAlex.

  1. Predictive model-based interventions to reduce outpatient no-shows: a rapid systematic review.Journal of the American Medical Informatics Association : JAMIA · 2023
    Pooled it
  2. Absenteeism in child health services: a systematic review.Revista brasileira de enfermagem · 2023
    Pooled it
  3. Trial
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  6. Prevalence and Drivers of Missed Healthcare Appointments in Poland: Insights From a 2025 Survey.Medical science monitor : international medical journal of experimental and clinical research · 2026
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  16. Original Research Clinical attendance rate at a tertiary adult audiological service in South Africa.The South African journal of communication disorders = Die Suid-Afrikaanse tydskrif vir Kommunikasieafwykings · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 2 countries.

Donna Lykke WolffHospital of Southern Denmark, DK-6200, Aabenraa, Denmark. donna.wolff@rsyd.dk.ORCID http://orcid.org/0000-0002-9131-8991
Frans Boch WaldorffResearch Unit of General Practice, Department of Public Health, University of Southern Denmark, Odense, Denmark.
Christian von PlessenDirection Général de la Santé and Unisanté, Lausanne, Switzerland.
Christian Backer MogensenHospital of Southern Denmark, DK-6200, Aabenraa, Denmark.
Thomas Lund SørensenThe Danish Patient Safety Authority, Kolding, Denmark.
Kim Christian HoulindDepartment of Regional Health Research, University of Southern Denmark, Winsløwparken 19, DK-5000, Odense C, Denmark.
Søren Bie BoghOPEN-Open Patient data Explorative Network- Department of Clinical Research and Odense University Hospital, Region of Southern Denmark, Odense, Denmark.
Katrine Hass RubinDepartment of Clinical Research, University of Southern Denmark, Odense, Denmark.
University of Southern Denmark · DKDanish Business Authority · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFailure 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.

methodsWe 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.

resultsDuring 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.

conclusionsPatients 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 registrationThis study was approved by the Danish Data Protection Agency (Project ID 18/35695 ).

Indexed as

AdolescentAdultAgedAged, 80 and overAmbulatory CareAppointments and SchedulesChronic DiseaseCohort StudiesDenmarkFemaleHospitalsHumansLogistic ModelsMaleMiddle AgedNo-Show PatientsAppointmentsAttendance rateChronic patientsHospital outpatient clinicNon-attendanceNo-showPredictors

Identifiers

PMID31200720
PMCPMC6570866
OpenAlexW2950854306

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.