| Literature DB >> 35891236 |
Reita N Agarwal1, Rajesh Aggarwal2, Pridhviraj Nandarapu3, Hersheth Aggarwal4, Ashmit Verma5, Absarul Haque6, Manish K Tripathi7.
Abstract
Background: The whole of humanity has suffered dire consequences related to the novel coronavirus disease 2019 (COVID-19). Vaccination of the world base population is considered the most promising and challenging approach to achieving herd immunity. As healthcare organizations took on the extensive task of vaccinating the entire U.S. population, digital health companies expanded their automated health platforms in order to help ease the administrative burdens of mass inoculation. Although some software companies offer free applications to large organizations, there are prohibitive costs for small clinics such as the Good Health Associates Clinic (GHAC) for integrating and implementing new self-scheduling software into our e-Clinical Works (ECW) Electronic Health Record (EHR). These cost burdens resulted in a search that extended beyond existing technology, and in investing in new solutions to make it easier, more efficient, more cost-effective, and more scalable. Objective: In comparison to commercial entities, primary care clinics (PCCs) have the advantage of engaging the population for vaccination through personalized continuity of clinical care due to good rapport between their patients and the PCC team. In order to support the overall national campaign to prevent COVID-19 infections and restore public health, the GHAC wanted to make COVID-19 vaccination accessible to its patients and to the communities it serves. We aimed to achieve a coordinated COVID-19 vaccination drive in our community through our small primary care clinic by developing and using an easily implementable, cost-effective self-registration and scheduling web-based mobile platform, using the principle of "C.D.S. Five Rights".Entities:
Keywords: COVID-19; accessibility; self-scheduling; vaccination; web-based platforms
Year: 2022 PMID: 35891236 PMCID: PMC9319099 DOI: 10.3390/vaccines10071072
Source DB: PubMed Journal: Vaccines (Basel) ISSN: 2076-393X
Binomial function for calculating probabilities for optimal utilization of vaccines.
| Confidence level (Scheduled person will get the vaccine) | 95% | |||||||
| Probability scheduled person will come for vaccination (80%) | 0.8 | |||||||
| Objective: Tom use 3 vials or 30 shots of vaccine | 30 | |||||||
| n (number scheduled to receive vaccinations) | 30 | 31 | 32 | 33 | 34 | 35 | 36 | 37 |
| Number of Persons showing up for vaccination (X) | Probability (X) | |||||||
| 28 | 0.9895 | 0.9626 | 0.9069 | 0.8179 | 0.7004 | 0.5672 | 0.434 | 0.3141 |
| 29 | 0.9988 | 0.9913 | 0.9683 | 0.9192 | 0.8381 | 0.7279 | 0.5993 | 0.467 |
| 30 | 1 | 0.999 | 0.9929 | 0.9732 | 0.93 | 0.8565 | 0.7536 | 0.6302 |
| 31 | 1 | 0.9992 | 0.9941 | 0.9774 | 0.9395 | 0.8731 | 0.7775 | |
| 32 | 1 | 0.9994 | 0.9952 | 0.981 | 0.9478 | 0.888 | ||
| 33 | 1 | 0.9995 | 0.996 | 0.984 | 0.955 |
Note: if 33 persons are scheduled then the probability that 30 or less will show up is 0.9732. In short, if we open 3 vials, we have 97.32% confidence that everyone that show up is vaccinated. If 34 persons are scheduled then the probability that 30 or less will show up is 0.93. In short, if we open 3 vials, we have 93% confidence that everyone that show up is vaccinated. This 93% confidence is less than 95% confidence level (One of our goals), therefore 33 persons scheduled swill provide the maximum utilization of vaccine minimizing dissatisfaction of not providing vaccine because clinic does not want to open new vial just for 1 or 2 persons.
Figure 1(a) Clinical workflow of patients and staff. (b) Architecture of the self-scheduling app.
Figure 2The flow of information for the Good Health Clinic using the scheduling app.
Figure 3The GHAC achieved higher vaccination rates vs. surrounding Rutherford County.
Figure 4Patients panel distribution and vaccination: (a) by gender; (b) by ethnicity.
Figure 5Vaccination location preferences of patients.