Evidence map›Paper›PMID 20973950›Full record

Trial reportBMC family practice2010

Reduction of missed appointments at an urban primary care clinic: a randomised controlled study.

Noelle Junod Perron, Melissa Dominicé Dao, Michel P Kossovsky, Valerie Miserez, Carmen Chuard, Alexandra Calmy, Jean-Michel Gaspoz

Registry-linked trialOpen access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in BMC family practice, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03367130 (Integrating Mobile Phone-Based Intervention With Test and Treat Strategy to Improve Clinic Attendance for Antiretroviral Pills Pick Up Among HIV Positive Individuals in Nepal), which is not on this map. Cited by 61 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed, 8 pooled it
11.3field-weighted citation impact, top 1% 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.

NCT03367130 nacompletednot on this mapstarted 2017, after this paper: background citation

Integrating Mobile Phone-Based Intervention With Test and Treat Strategy to Improve Clinic Attendance for Antiretroviral Pills Pick Up Among HIV Positive Individuals in Nepal: A Randomized Controlled Trial

TypeinterventionalSponsorTokyo UniversityRan2017 to 2018Enrolled468ConditionsHIV Infections, Antiretroviral Therapy, HIV SeropositivityArmsMobile phone reminder
3 · Its place in the literature

Who cites it

61 citing papers in PubMed, 8 syntheses or guidelines pooled it, 152 citations in OpenAlex.

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  2. The use of digital solutions in alleviating the burden of IAPT's waiting times.The International journal of risk & safety in medicine · 2022
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  6. The Empirical Foundations of Telemedicine Interventions in Primary Care.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2016
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1 more citing papers are in PubMed but not listed here.

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

7 authors at 2 institutions in 2 countries.

Noelle Junod PerronDivision of Primary Care, Department of Community Medicine and Primary Care, Geneva University Hospitals, Geneva, Switzerland. noelle.junod@hcuge.ch
Melissa Dominicé Dao
Michel P Kossovsky
Valerie Miserez
Carmen Chuard
Alexandra Calmy
Jean-Michel Gaspoz
University Hospital of Geneva · CHGeneva College · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMissed appointments are known to interfere with appropriate care and to misspend medical and administrative resources. The aim of this study was to test the effectiveness of a sequential intervention reminding patients of their upcoming appointment and to identify the profile of patients missing their appointments.

methodsWe conducted a randomised controlled study in an urban primary care clinic at the Geneva University Hospitals serving a majority of vulnerable patients. All patients booked in a primary care or HIV clinic at the Geneva University Hospitals were sent a reminder 48 hrs prior to their appointment according to the following sequential intervention: 1. Phone call (fixed or mobile) reminder; 2. If no phone response: a Short Message Service (SMS) reminder; 3. If no available mobile phone number: a postal reminder. The rate of missed appointment, the cost of the intervention, and the profile of patients missing their appointment were recorded.

results2123 patients were included: 1052 in the intervention group, 1071 in the control group. Only 61.7% patients had a mobile phone recorded at the clinic. The sequential intervention significantly reduced the rate of missed appointments: 11.4% (n = 122) in the control group and 7.8% (n = 82) in the intervention group (p < 0.005), and allowed to reallocate 28% of cancelled appointments. It also proved to be cost effective in providing a total net benefit of 1846. - EUR/3 months. A satisfaction survey conducted with 241 patients showed that 93% of them were not bothered by the reminders and 78% considered them to be useful. By multivariate analysis, the following characteristics were significant predictors of missed appointments: younger age (OR per additional decade 0.82; CI 0.71-0.94), male gender (OR 1.72; CI 1.18-2.50), follow-up appointment >1 year (OR 2.2; CI: 1.15-4.2), substance abuse (2.09, CI 1.21-3.61), and being an asylum seeker (OR 2.73: CI 1.22-6.09).

conclusionA practical reminder system can significantly increase patient attendance at medical outpatient clinics. An intervention focused on specific patient characteristics could further increase the effectiveness of appointment reminders.

Indexed as

Appointments and SchedulesPatient SatisfactionReminder SystemsAdultCell PhoneEfficiency, OrganizationalFemaleHospitals, UniversityHumansMaleMiddle AgedPostal ServicePrimary Health CareSwitzerlandTelephoneUrban Health Services

Identifiers

PMID20973950
PMCPMC2984453
OpenAlexW1993680757

What OpenQuestion holds

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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.