Department of Psychology, University of California, Los Angeles, Los Angeles, CA, United States; Brain Research Institute, University of California, Los Angeles, Los Angeles, CA, United States; Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, United States. Electronic address: lararay@psych.ucla.edu.
Department of Psychiatry (Garrison, Sinha, Potenza), Child Study Center (Sinha, Potenza, Scheinost), n.; Department of Neuroscience (Sinha, Potenza), Wu Tsai Institute (Potenza, Scheinost), Department of Biomedical Engineering (Gao, Liang, Scheinost), and Department of Statistics and Data Science (Scheinost), Yale University, New Haven, Conn.; Connecticut Mental Health Center, New Haven, Conn. (Potenza); Connecticut Council on Problem Gambling, Hartford, Conn. (Potenza).
Department of Psychiatry (Garrison, Sinha, Potenza), Child Study Center (Sinha, Potenza, Scheinost), n.; Department of Neuroscience (Sinha, Potenza), Wu Tsai Institute (Potenza, Scheinost), Department of Biomedical Engineering (Gao, Liang, Scheinost), and Department of Statistics and Data Science (Scheinost), Yale University, New Haven, Conn.; Connecticut Mental Health Center, New Haven, Conn. (Potenza); Connecticut Council on Problem Gambling, Hartford, Conn. (Potenza).
Department of Psychiatry (Garrison, Sinha, Potenza), Child Study Center (Sinha, Potenza, Scheinost), n.; Department of Neuroscience (Sinha, Potenza), Wu Tsai Institute (Potenza, Scheinost), Department of Biomedical Engineering (Gao, Liang, Scheinost), and Department of Statistics and Data Science (Scheinost), Yale University, New Haven, Conn.; Connecticut Mental Health Center, New Haven, Conn. (Potenza); Connecticut Council on Problem Gambling, Hartford, Conn. (Potenza).
Department of Psychiatry (Garrison, Sinha, Potenza), Child Study Center (Sinha, Potenza, Scheinost), n.; Department of Neuroscience (Sinha, Potenza), Wu Tsai Institute (Potenza, Scheinost), Department of Biomedical Engineering (Gao, Liang, Scheinost), and Department of Statistics and Data Science (Scheinost), Yale University, New Haven, Conn.; Connecticut Mental Health Center, New Haven, Conn. (Potenza); Connecticut Council on Problem Gambling, Hartford, Conn. (Potenza).
Department of Psychiatry and Behavioral Sciences Johns Hopkins University School of Medicine, Baltimore, MD, United States. Electronic address: cberge21@jhmi.edu.
Optimal patient appointment grid scheduling improves medical center performance and reduces pressure from excess demand. Appointment scheduling efficiency depends on resource management, and staff are...
Patient no-shows and suboptimal patient appointment length scheduling reduce clinical efficiency and impair the clinic's quality of service. The main objective of this study is to improve appointment ...
Outpatient Chemotherapy Appointment (OCA) planning and scheduling is a process of distributing appointments to available days and times to be handled by various resources through a multi-stage process...
Patients' experience accessing dermatologic care is understudied. The purpose of this cross-sectional study was to examine current wait times for new patients to receive dermatological care in NYC. We...
Many outpatient radiology orders are never scheduled, which can result in adverse outcomes. Digital appointment self-scheduling provides convenience, but utilization has been low. The purpose of this ...
Nonattendance is a critical problem that affects health care worldwide. Our aim was to build and validate predictive models of nonattendance in all outpatients appointments, general practitioners, and...
A cohort study of adult patients, who had scheduled outpatient appointments for General Practitioners, Clinical and Surgical specialties, was conducted between January 2015 and December 2016, at the I...
Of 2,526,549 appointments included, 703,449 were missed (27.8%). The predictive model for all appointments contains 30 variables, with an area under the ROC (AUROC) curve of 0.71, calibration-in-the-l...
We build robust predictive models of nonattendance with adequate precision and calibration for each of the subgroups....
The burden of missed healthcare appointments is so great that even small reductions in Did Not Attend (DNA) rate can secure tangible benefits. Previous studies have identified demographic factors that...
There has yet to be an examination of how appointment attendance behaviors in multiple sclerosis (MS) are related to scheduling metrics and certain demographic, clinical, and behavioral factors such a...
Participants (n = 110) were persons with MS who were enrolled in a larger cross-sectional study, during which they completed a battery of neuropsychological measures. Data about their appointments in ...
A higher number of SNC were noted during the winter, with 22.4% being due to the weather. SNC were also more common on Thursdays, but less frequent during the early morning time slots (7am to 9am). In...
While SNC are related to clinic structure and situational factors like the weather, NS may be more influenced by behavioral issues, such as difficulty remembering an appointment and high levels of dis...
Racial and ethnic disparities have been observed in the outpatient visit rates for specialist care, including cancer care; however, little is known about patients' experience at the critical step of a...
To determine simulated English-speaking, Spanish-speaking, and Mandarin-speaking patient callers' ability to access new clinic appointments for 3 cancer types (colon, lung, and thyroid cancer) that di...
This cross-sectional audit study was conducted between November 2021 and March 2023 using 479 clinic telephone numbers that were provided by the hospital general information personnel at 143 hospitals...
The primary outcome was whether the simulated patient caller was able to access cancer care (binary variable, yes or no), which was defined to include being provided with a clinic appointment date or ...
Of 985 total calls (399 English calls; 302 Spanish calls; 284 Mandarin calls), simulated patient callers accessed cancer care in 409 calls (41.5%). Differences were observed based on language type, wi...
In this cross-sectional audit study, simulated patient callers encountered substantial barriers when attempting to access clinic appointments for cancer care. These findings suggest that interventions...
The purpose of this study was to determine the demand for orthodontic appointments on weekends and the level of commitment the patients have for those appointments....
A survey of 17 questions was created and given to 199 adult patients. The first six questions addressed demographic information, followed by three questions addressing whether coming to their orthodon...
About 77.4% of the participants indicated that they would take advantage of appointments on Saturdays if available. The most preferred time for Saturday appointments was 7:00 am-10:00 am, followed by ...
There is a demand for Saturday orthodontic appointments with a very high commitment level among the majority of those patients. The Saturday demographic tends to be participants with a low household i...
Orthodontic offices may consider working at least one Saturday per month to satisfy patient needs. They can use this survey to explore their own market for Saturday clinical practice....
