Acceptability and Effectiveness of Text Message Reminders to Improve Patient Attendance During the Sociopolitical Crisis in Haiti: Telephone-Based Survey

Our study highlights the potential of text message reminders to improve appointment attendance in Haiti, despite the sociopolitical crisis. The overall acceptability and positive perceptions of SMS text messaging reminders suggest that they can be a valuable tool in health care settings, especially when adapted to the local context. We recommend that health care centers in Haiti consider integrating SMS text messaging reminder systems into routine patient management to enhance adherence and optimize care delivery.

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Publication Details

Journal
JMIR Formative Research
Published
2026-02-23
DOI
https://doi.org/10.2196/77010
Primary Topic
Healthcare Operations and Scheduling Optimization
Type
article
Field-Weighted Citation Impact
0.00
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article

Acceptability and Effectiveness of Text Message Reminders to Improve Patient Attendance During the Sociopolitical Crisis in Haiti: Telephone-Based Survey

Charles Patrick Almazor, Marcmy Présumé, Mathias Altmann, Jean Rony Quetant
JMIR Formative Research
Healthcare Operations and Scheduling Optimization
article

Acceptability and Effectiveness of Text Message Reminders to Improve Patient Attendance During the Sociopolitical Crisis in Haiti: Telephone-Based Survey

Charles Patrick Almazor, Marcmy Présumé, Mathias Altmann, Jean Rony Quetant
article en

Abstract

Our study highlights the potential of text message reminders to improve appointment attendance in Haiti, despite the sociopolitical crisis. The overall acceptability and positive perceptions of SMS text messaging reminders suggest that they can be a valuable tool in health care settings, especially when adapted to the local context. We recommend that health care centers in Haiti consider integrating SMS text messaging reminder systems into routine patient management to enhance adherence and optimize care delivery.

JMIR Formative ResearchVol. 10
Université de Bordeaux (FR), Inserm (FR), Bordeaux Population Health (FR), Ministry of Agriculture Natural Resources and Rural Development (HT), Institut de Recherche pour le Développement (FR)
Openalex Percentile: Top 53%
Healthcare Operations and Scheduling Optimization
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