Evidence map›Paper›PMID 39164639›Full record

ArticleBMC health services research2024

Implementation of a patient reminder system in Haiti in a socio-political crisis context: evaluation of outcomes.

Marcmy Presume, Charles Patrick Almazor, Mathias Altmann

Abstract read
In one paragraph

Article in BMC health services research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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

3 authors.

Marcmy PresumeAssociation de Technologistes Médicaux Licenciés d'Haiti (ATMLH), Port-au-Prince, Haiti. premarc2000@yahoo.fr.
Charles Patrick AlmazorHopital Sage Citymed, Port-au-Prince, Haiti.
Mathias AltmannUniversity of Bordeaux, National Institute for Health and Medical Research (INSERM) UMR 1219, Research Institute for Sustainable Development (IRD) EMR 271, Bordeaux Population Health Research Centre, Bordeaux, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn Haiti, patient's adherence to treatment and compliance with medical appointments are very challenging due to different local factors. We aimed to assess the effectiveness of a reminder system implemented in health facilities in Haiti in a context of socio-political crisis.

methodsWe used appointment data from patients aged 15 years and older between January 2021 and November 2023 from four healthcare centers in the Port-au-Prince metropolitan area. We performed descriptive analysis, crossing covariates with appointment attendance. We performed Pearson's Chi-squared test, and multivariate regression analysis using a mixed-effect logistic regression model in order to explore the association between sending reminders and appointment attendance, with and without adjustment for other patient-level covariates.

resultsA total of 14 108 appointments were registered on the reminder systems, with 2 479 (17.6%) attendances. Among those to whom reminders were sent, the number of attendances was 167 (17.4%) for email recipients only, 199 (36.7%) for SMS recipients only, and 19 (42.2%) for both SMS and email recipients - versus 2 094 (16.7%) for non-reminders. After adjusting on all other covariates, we found that patients to whom a reminder was sent via email (aOR: 1.45; CI: 1.08, 1.94), SMS (aOR: 2.95; CI: 2.41, 3.60), and both SMS and email (aOR: 2.86, CI: 1.37, 5.96) were more likely to show up on their appointment day compared to those who did not receive any reminder. Other socio-demographic factors such as being 50 years and older (aOR: 1.31; CI: 1.10, 1.56) compared to under 30 years, living as couple (aOR: 1.23; CI: 1.10, 1.37), and not having children (aOR: 1.21; CI: 1.07, 1.37) were significantly associated with appointment attendance.

conclusionsOur study suggests that patient reminder systems may be used to reduce non-attendance in Haiti, even in a context of socio-political crisis.

Indexed as

Appointments and SchedulesReminder SystemsAdolescentAdultAgedFemaleHaitiHumansMaleMiddle AgedPatient CompliancePoliticsYoung AdultPatient appointmentProgram evaluationReminder systemsText messaging

Identifiers

PMID39164639
PMCPMC11337644

What OpenQuestion holds

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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.