Table 4.
Absolute and relative increases in numbers of beneficiaries with a likely respiratory-related event per 100,000 beneficiaries per day attributable to selected grass pollen exposure levels
| Increase in Number of Beneficiaries with an Event per 100,000 Beneficiaries per Day |
|||||||
|---|---|---|---|---|---|---|---|
| Phone Calls and E-mails | Provider Visits | UC/CDU/ Emergency Department Visits | Hospital Admissions | ||||
| Effect Estimate: Same-Day Exposure Model | 2.992 | 1.092 | 1.461 | 0.216 | |||
| (2.498–3.487) | (0.298–1.886) | (1.046–1.876) | (0.033–0.398) | ||||
| Absolute increase in number of beneficiaries with a likely respiratory-related event per 100,000 beneficiaries per day | Grass pollen (10 grain units): same-day exposure | 1 standard deviation | 1.08 units/m3 | 3.23 | 1.18 | 1.58 | 0.233 |
| (2.70–3.77) | (0.32–2.04) | (1.13–2.03) | (0.035–0.430) | ||||
| Interquartile range | 0.447 units/m3 | 1.34 | 0.488 | 0.653 | 0.096 | ||
| (1.12–1.56) | (0.133–0.843) | (0.468–0.839) | (0.015–0.178) | ||||
| Spike | 3.32 units/m3 | 9.97 | 3.64 | 4.86 | 0.718 | ||
| (8.32–11.61) | (0.99–6.28) | (3.48–6.25) | (0.109–1.326) | ||||
| Relative increase in number of beneficiaries with a likely respiratory-related event per 100,000 beneficiaries per day | Grass pollen (10 grain units): same-day exposure | 1 standard deviation | 1.08 units/m3 | 11.09% | 1.42% | 7.02% | 5.23% |
| (9.26–12.92) | (0.39–2.46) | (5.02–9.01) | (0.80–9.64) | ||||
| Interquartile range | 0.447 units/m3 | 4.59% | 0.59% | 2.90% | 2.16% | ||
| (3.83–5.35) | (0.16–1.02) | (2.08–3.73) | (0.33–3.99) | ||||
| Spike | 3.32 units/m3 | 34.19% | 4.39% | 21.63% | 16.09% | ||
| (28.53–39.84) | (1.20–7.58) | (15.48–27.78) | (2.45–2,973) | ||||
Definition of abbreviations: CDU = clinical decision unit; UC = urgent care unit.
• Model effect estimates are based on observations with events that are likely respiratory related.
• Absolute increases in numbers of beneficiaries with the event are computed from the effect estimates (Table 4) times the number of beneficiary days for the tree pollen sample (Table 2).
• Relative increases in the numbers are computed as the absolute increases in numbers of beneficiaries with the event per 100,000 beneficiaries per day (Table 4) divided by the average proportion of beneficiaries with an event per 100,000 beneficiaries per day (Table 2).
• “Spike” is defined as the difference between the 95th percentile and the median for an exposure measure (Table 1).