PMID- 33197040
OWN - NLM
STAT- MEDLINE
DCOM- 20210420
LR  - 20210420
IS  - 1930-7837 (Electronic)
IS  - 0022-0337 (Linking)
VI  - 85
IP  - 4
DP  - 2021 Apr
TI  - Exploratory analysis to enhance operational efficiency of new patient screenings.
PG  - 555-561
LID - 10.1002/jdd.12489 [doi]
AB  - OBJECTIVE: The aims of this study were to 1) evaluate patient demographic data 
      for new patient exams (NPE) and 2) analyze lead response time for checked-in and 
      no-show appointments in predoctoral clinics in a dental school. METHODS: The data 
      for the study were collected from the predoctoral clinics at Tufts University 
      School of Dental Medicine (TUSDM) for patients with NPE appointments with 
      American Dental Association's (ADA) diagnostic code of D100. A total of 26,826 
      appointments and 24,419 unique patients were reviewed from January 1, 2015 to 
      December 31, 2019. Patient demographic variables such as age, gender, zip codes, 
      and lead response time were analyzed. RESULTS: From 26,826 total number of 
      appointments, 10,454 appointments were categorized as no-show appointments 
      (38.97%). In the no-show appointments, the sex distribution was 59.93% female and 
      40.07% male, and in checked-in category, the sex distribution was 53.75% female 
      and 46.25% male. As the lead response time increased over 5 days, the no-show 
      rate increased to 49.79%. Approximately 55% of the entire NPE was from Greater 
      Boston area. CONCLUSION: The association between lead time and no-show rate was 
      shown that when lead time was reduced, no-show rate decreased. By identifying the 
      no-show appointments and lead time, schools and clinics can improve operational 
      efficiency, reduce financial loss, and maintain continuation of care by 
      supporting patients who need access to care and creating secondary automated 
      recall system to maximize communication and chair use.
CI  - (c) 2020 American Dental Education Association.
FAU - Kim, Shawn J
AU  - Kim SJ
AD  - Department of Clinical Affairs, Tufts University School of Dental Medicine, 
      Boston, Massachusetts, USA.
FAU - Patel, Nirav
AU  - Patel N
AD  - Department of Clinical Affairs, Tufts University School of Dental Medicine, 
      Boston, Massachusetts, USA.
FAU - Xu, Junjie
AU  - Xu J
AD  - Department of Clinical Affairs, Tufts University School of Dental Medicine, 
      Boston, Massachusetts, USA.
FAU - Huot, Vanak
AU  - Huot V
AD  - Department of Clinical Affairs, Tufts University School of Dental Medicine, 
      Boston, Massachusetts, USA.
FAU - Sonani, Hardik
AU  - Sonani H
AD  - Department of Clinical Affairs, Tufts University School of Dental Medicine, 
      Boston, Massachusetts, USA.
FAU - Magnuson, Britta E
AU  - Magnuson BE
AD  - Department of Diagnostic Sciences, Tufts University School of Dental Medicine, 
      Boston, Massachusetts, USA.
LA  - eng
PT  - Journal Article
DEP - 20201116
PL  - United States
TA  - J Dent Educ
JT  - Journal of dental education
JID - 8000150
SB  - IM
MH  - *Appointments and Schedules
MH  - Boston
MH  - *Dental Clinics
MH  - Efficiency
MH  - Female
MH  - Humans
MH  - Male
MH  - Mass Screening
OTO - NOTNLM
OT  - dental care access
OT  - dental education
OT  - electronic health record
OT  - lead time
OT  - patient care management
EDAT- 2020/11/17 06:00
MHDA- 2021/04/21 06:00
CRDT- 2020/11/16 14:51
PHST- 2020/10/06 00:00 [revised]
PHST- 2020/08/04 00:00 [received]
PHST- 2020/10/29 00:00 [accepted]
PHST- 2020/11/17 06:00 [pubmed]
PHST- 2021/04/21 06:00 [medline]
PHST- 2020/11/16 14:51 [entrez]
AID - 10.1002/jdd.12489 [doi]
PST - ppublish
SO  - J Dent Educ. 2021 Apr;85(4):555-561. doi: 10.1002/jdd.12489. Epub 2020 Nov 16.