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Download fileThe effectiveness of SMS Reminders and the impact of patient characteristics on missed appointments in a public dental outpatient clinic
journal contribution
posted on 2017-01-18, 00:00 authored by Emilia BellucciEmilia Bellucci, Lasitha DharmasenaLasitha Dharmasena, Lemai NguyenLemai Nguyen, Hanny CalacheHanny CalacheThis paper reports on the Failure To Attend (FTA) rate of appointments as well as patients following the implementation of SMS reminders in a public dental outpatient service. Given the ineffectiveness of the intervention and a highly representative patient’s profile, this paper identifies the demographic characteristics of patients who miss all of their appointments. Data on appointment attendance, patient demographics and dental service type was collected over a time period of 46 consecutive months. Using descriptive and inferential statistics (chi-square, two sample tests and Marascuilo procedure) we found the SMS intervention was ineffective in reducing the FTA rates. Further, patients associated with high rates of non-attendance exhibited one or more of the following characteristics: male; age 26 – 44; non-concession card holders; a person of Indigenous, local, Asian or African descent, and of refugee status, persons living in low socio-economic areas; and appointments in General Care and Student Clinics. Whilst the literature overwhelmingly attributes SMS reminders to improving the attendance rate of patients in outpatient clinics, our contradictory findings suggest a more targeted approach in settings whose patients exhibit strong characteristics associated with non-attendance.
History
Journal
Australasian journal of information systemsVolume
21Pagination
1 - 21Publisher
Association for Information SystemsLocation
Bruce, A.C.T.Publisher DOI
ISSN
1449-8618eISSN
1449-8618Language
engPublication classification
C1 Refereed article in a scholarly journal; C Journal articleCopyright notice
2017, The AuthorsUsage metrics
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Categories
Keywords
non-attendanceSMS reminder servicepublic outpatient clinicsdental health servicespatient demographic and appointment characteristicsScience & TechnologyTechnologyComputer Science, Information SystemsComputer SciencePatient demographic and appointment characteristics.RANDOMIZED CONTROLLED-TRIALSHORT MESSAGE SERVICEREDUCE NON-ATTENDANCEIMPROVE ATTENDANCETEXT MESSAGEPRIMARY-CAREHEALTH-PROMOTIONTELEPHONEMETAANALYSIS