id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
ajis02-1405	Bellucci, Emilia; Dharmasena, Lasitha; Nguyen, Lemai; Calache, Hanny	The effectiveness of SMS Reminders and the impact of patient characteristics on missed appointments in a public dental outpatient clinic	2017	21	.pdf	application/pdf	9432	438	48	FTA Score Number of Patients % Patients 100% 3281 9.5336% 90-99% 3 0.0087% 80-89% 76 0.2208% 70-79% 213 0.6189% 60-69% 62 0.1802% 50-59% 1891 5.4947% 40-49% 1377 4.0012% 30-39% 1053 3.0597% 20-29% 1629 4.7334% 10-19% 1057 3.0713% 0% 23773 69.0774% 34415 100.0000% Table 5: Percentage distribution of FTA Score per patient During the 46-month study period, the number of appointments scheduled ranged from 1 to 72, with the modal number of appointments scheduled per patient being 1 (38.7%) and the arithmetic mean being 4. Percent (%) 0 1 2 3 4-6 7-9 10-12 13-14 1 77.4% (FTA=0%) 22.6% (FTA=100%) 13313 38.68 2 73.2% (0%) 23.2% 3.6% (100%) 6738 19.58 3 70.1% (0%) 24.30% 4.90% 0.7% (100%) 4095 11.9 4 60.9% (0%) 27.5% 9.0% 2.4% 0.2% (100%) 2383 6.92 5 59.8% (0%) 26.4% 10.1% 2.9% 0.7% (≥90%) 1471 4.27 6 59.1% (0%) 25.4% 10.6% 3.8% 1% (≥75%) 1069 3.11 7 59.5% (0%) 23.8% 11.8% 2.9% 2% (≥57%) 790 2.3 8 57.7% (0%) 25.2% 10.4% 3.6% 3.1% (≥50%) 636 1.85 9 54.3% (0%) 26.0% 11.5% 5.5% 2.7% (≥44%) 477 1.39 10 53.2% (0%) 26.7% 9.9% 7.2% 2.7% 0.3% (≥80%)$ 374 1.09 11-20 51.3% (0%) 24.0% 12.7% 6.2% 5.1% 0.6% 0.1% 2047 5.95 21-30 38.1% (0%) 23.1% 15.7% 7.9% 11.9% 2.4% 0.7% 0.1% 706 2.05 31-40 30.6% (0%) 23.1% 15.7% 8.7% 16.5% 3.7% 1.2% 0.4% 242 0.7 41-50 16.4% (0%) 29.5% 21.3% 3.3% 18.0% 6.6% 1.6% 3.3% 61 0.18 51-60 33.3% (0%) 25.0% 8.3% 0.0% 25.0% 8.3% 0.0% 0.0% 12 0.03 72 100% 1 0 34415 100 Number of scheduled appointments Per Person Number of Missed Appointments Patient Total Australasian Journal of Information Systems Bellucci, Dahrmesana, Nguyen & Calache 2017, Vol 21, Research on Health Information Systems Effectiveness of SMS reminders 11 Furthermore, we examined the relationships between number of ‘No show’ appointments and number of 'No show' appointments by those that never show up.	cache/ajis02-1405.pdf	txt/ajis02-1405.txt