The Usefulness of Patients?? Individual Characteristics in Predicting No-Shows in Outpatient Clinics
Bibliographic Data
| ID | 9104015 |
|---|---|
| Authors | Henry G Dove (VA Connecticut Research and Education Foundation), Karen Schneider (0000-0002-2964-8746, VA Connecticut Research and Education Foundation), Karen C Schneider |
| Year | 1981 |
| Volume | 19 |
| Issue | 7 |
| Pages | 734-740 |
| Publication date | 1981-07-01 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Medical Care (JOURNAL) |
| Journal identifiers | ISSN: 0025-7079 • E-ISSN: 1537-1948 |
| Publisher | Ovid Technologies (Wolters Kluwer Health) (PUBLISHER) |
| DOI | 10.1097/00005650-198107000-00004 |
| PMID | 7266121 |
| OpenAlex | W2093180707 |
| Language | EN |
| Citations received | 2 |
| References cited | 4 |
Patients' characteristics and no-show patterns are analyzed in order to determine the number of patients to schedule in outpatient clinics. This predictive model is evaluated on a second sample of data and compared with another scheduling technique that is based on the average no-show rate for each clinic. Our survey suggests that it is possible to predict accurately the number of no-shows with a small set of variables, and that patient scheduling can be improved by paying attention to the characteristics of individual patients. The most important single predictor is the patient's previous appointment-keeping pattern
Operations management · Outpatient clinic · Sample size determination · Schedule · Scheduling (production processes) · Statistics · Computer Science · Engineering · Healthcare Operations and Scheduling Optimization · Healthcare Systems and Technology · Hospital Admissions and Outcomes · Internal Medicine · Mathematics · Medicine
| Citations per year | 0.17 |
|---|---|
| Citation span | 2014 - 2020 (7) |
| Highly cited | No |