Service Utilization. We will measure your Service utilization based on the number of user accounts as well as storage and bandwidth use as follows:
Service Utilization. Consistent with the assumptions underlying the Original certification, the amended capitation rates assume that the impact of COVID-19 on utilization is immaterial in composite. There continues to be material uncertainty related to the impact of COVID-19 on healthcare expenditures. With this uncertainty in mind, we believe it is reasonable to assume that the impact of other COVID-related items could produce increases or decreases to projected benefit expense relative to healthcare costs absent the COVID-pandemic. • Benefit Expense Associated with COVID-19 Vaccines. The capitation rates do not include projected costs associated with COVID-19 vaccine drug and administration utilization. This assumption was established due to the drug cost being reimbursed by CMS. In addition, ODM established a non-risk arrangement to reimburse the MCPs for vaccine administration costs. Based on our review of emerging state plan transportation and professional service utilization associated with the COVID-19 vaccine, we do not anticipate a material impact to projected benefit expense for these services.
Service Utilization a. Utilization varies based on the needs of the Participant as identified by the ISP process. The assessment of need is a collaborative process involving the Participant, community provider, the Division, and others as identified by the support team.
Service Utilization. Figure 1 portrays the percent complete for all of the potential services utilized during the first year of data collection across the three types of surveillance systems used by the four states. The variables in Figure 1 are a yes/no type of answer – was there a physician consult in year 1? The active and passive with case confirmation systems have almost 100% data completeness for the first year of these services. The NBS system has a more variation in data completeness ranging from 0% for nurse practitioner and other provider, to 11% complete for ICU stay, and to 98% complete for medical geneticist. In order to observe any trends that occur from the first to the last year of data collection, Figure 2 portrays the data completeness for the metabolic clinic variable across three years. The active and passive with case confirmation systems are above 95% complete for all three years of data collected. The NBS system has a slightly downward trend in variable completeness from year 1 to year 3, but is still above 75% complete by year 3. Figure 3 shows the data completeness for the metabolic geneticist variable across the three years for the different surveillance systems. In this case, the passive with case confirmation system was able to collect this variable completely in all 3 years. The active systems were also very close to completely collecting this variable (98%). The NBS system is fairly consistent, higher than 90% complete for all three years. This is a high quality variable that was able to be collected across a range of systems that currently exist in these four states.
Service Utilization
