scholarly journals Impact of Telemedicine During the COVID‐19 Pandemic on Patient Attendance

Obesity ◽  
2021 ◽  
Author(s):  
Mohini Aras ◽  
Beverly G. Tchang ◽  
Andrew Crawford ◽  
Melissa Bledsoe ◽  
Ken Fujioka ◽  
...  
Keyword(s):  
Patient Attendance

scholarly journals Impact of demographics and appointment characteristics on patient attendance in a university dental clinic

2020 ◽  
Author(s):  
Laura Jade White ◽  
Kate Ellise Butler‐Howell ◽  
Naomie Nadon‐Hoysted ◽  
Madeleine Carly Schulz ◽  
Jeroen Kroon
Keyword(s):  
Dental Clinic ◽  
Patient Attendance

Follow-Up Care Barriers for Patients with Orofacial Clefts

2021 ◽  
pp. 105566562110421
Author(s):  
Joshua Van Swol ◽  
Bethany J. Wolf ◽  
Julia Toumey ◽  
Phayvanh Pecha ◽  
Krishna G. Patel
Keyword(s):  
Outcome Measure ◽  
Tertiary Care ◽  
University Hospital ◽  
Exclusion Criteria ◽  
Actual Patient ◽  
The Mean ◽  
Return Visits ◽  
Significant Factors ◽  
Patient Attendance

Objective The aim of this study was to evaluate whether a patient with a cleft's age, associated syndrome, cleft phenotype or travel distance affects their follow-up rate. Design This study is a retrospective review of patients with CL/P treated by a craniofacial clinic. Setting The setting was a craniofacial clinic at a tertiary care university hospital. Patients, Participants Candidates were patients seen by the craniofacial clinic between January 2007 and December 2019. An initial pool of 589 patients was then reduced to 440 due to exclusion criteria. Interventions None Main Outcome Measure(s) The outcome measure was actual patient attendance to the craniofacial team compared to the team goal expectation of annual return visits. Results The mean age of participants at the end of the study was 9.0 ±  5.4 years with a mean follow-up period (total possible follow-up period length based on patient age at presentation and study window) of 5.5 ±  3.6 years. There was no association between cleft phenotype, type of syndrome, or distance to the clinic with attendance. Children with syndromes had an 11% decrease in the odds of attending follow-up visits with each 1-year increase in age compared to a 4% decrease in children without syndromes. Conclusions The only significant factors determining patient attendance were the presence of a syndrome and increasing age.

Ontological Representation and an Architecture for Homecare Pervasive Systems

2013 ◽  
pp. 215-234
Author(s):  
Leandro Freitas ◽  
Rafael T. Pereira ◽  
Henrique G. G. Pereira ◽  
Ricardo Martini ◽  
Bruno A. Mozzaquatro ◽  
...  
Keyword(s):  
Knowledge Representation ◽  
Pervasive Computing ◽  
World Population ◽  
Access To Information ◽  
Pervasive Systems ◽  
High Level ◽  
Representation Of Knowledge ◽  
Patient Attendance

Queues in hospitals grow due to, among others, the increasing world population and delay in patient attendance. One way of solving this problem is developing systems to provide treatment directly in the homes of patients. These systems help to decrease queues, improving the attendance to those looking for assistance. In this chapter, the authors present an ontological representation of knowledge of homecare environments and the modeling of an architecture for pervasive systems to this kind of domain. Systems with this modeling aim to improve services provided by professionals during treatment of patients located in their houses. The authors used concepts of pervasive computing to provide access to information anytime and wherever the user is, once a homecare environment has a high level of dynamicity. The knowledge representation is done through ontologies due to the possibility of reuse of information stored, as well as the interoperability of information among different computational devices.

scholarly journals Patient attendance

BDJ ◽  
2003 ◽  
Vol 195 (10) ◽  
pp. 550-550
Author(s):  
S J Nute
Keyword(s):  
Patient Attendance

scholarly journals Measuring the effectiveness of patient-chosen reminder methods in a private orthodontic practice

2018 ◽  
Vol 88 (3) ◽  
pp. 314-318 ◽  
Author(s):  
Lauren M. Wegrzyniak ◽  
Deborah Hedderly ◽  
Kishore Chaudry ◽  
Prashanti Bollu
Keyword(s):  
Descriptive Statistics ◽  
Phone Call ◽  
Retrospective Case ◽  
Patient Appointment ◽  
Using Data ◽  
Retrospective Case Study ◽  
E Mail ◽  
Office Location ◽  
Patient Attendance

ABSTRACTObjective:To evaluate the effectiveness of patient-chosen appointment reminder methods (phone call, e-mail, or SMS text) in reducing no-show rates.Materials and Methods:This was a retrospective case study that determined the correlation between patient-chosen appointment reminder methods and no-show rates in a private orthodontic practice. This study was conducted in a single office location of a multioffice private orthodontic practice using data gathered in 2015. The subjects were patients who self-selected the appointment reminder method (phone call, e-mail, or SMS text). Patient appointment data were collected over a 6-month period. Patient attendance was analyzed with descriptive statistics to determine any significant differences among patient-chosen reminder methods.Results:There was a total of 1193 appointments with an average no-show rate of 2.43% across the three reminder methods. No statistically significant differences (P = .569) were observed in the no-show rates between the three methods: phone call (3.49%), e-mail (2.68%), and SMS text (1.90%).Conclusions:The electronic appointment reminder methods (SMS text and e-mail) had lower no-show rates compared with the phone call method, with SMS text having the lowest no-show rate of 1.90%. However, since no significant differences were observed between the three patient-chosen reminder methods, providers may want to allow patients to choose their reminder method to decrease no-shows.

Attendance Pattern of Patients: A study of out-patient attendance and drop-out rates

1981 ◽  
Vol 27 (4) ◽  
pp. 226-228
Author(s):  
K. INDIRABAI ◽  
V. N. SASTRY ◽  
P. S. REDDY
Keyword(s):  
Drop Out ◽  
Attendance Pattern ◽  
Drop Out Rates ◽  
Patient Attendance
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