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Original Research

Impact of a Patient Support Program on Patient Beliefs About Neovascular Age-Related Macular Degeneration and Persistence to Anti-Vascular Endothelial Growth Factor Therapy

, , , &
Pages 511-521 | Published online: 03 Mar 2021

Figures & data

Table 1 Patient Support Program Participant Demographics

Figure 1 Treatment persistence in patients enrolled in the PSP vs the 10% PBS data set.

Abbreviations: PBS, Pharmaceutical Benefits Scheme; PSP, patient support program.
Figure 1 Treatment persistence in patients enrolled in the PSP vs the 10% PBS data set.

Table 2 Persistence to Patient Support Program by Year of Enrollment

Table 3 Predictors of Persistence on Program from Cox Proportional Hazards Regression Model

Figure 2 Persistence by risk category.

Notes: The risk stratification was based on combinations of the risk factors identified in the Cox proportional hazards regression model: that is, younger, high-risk patients, who live further from their HCP have a lower persistence than older, low-risk patients, who live less than 100 km from their HCP. Note there are differences in the number of patients in each risk category (low (n=485), medium (n=897) and high (n=30)).
Abbreviation: HCP, healthcare professional.
Figure 2 Persistence by risk category.

Figure 3 Patient satisfaction (mean ± SD) with the patient support program.

Note: Standard deviations are truncated at the upper level of patient satisfaction (10).
Abbreviations: ACT, Australian Capital Territory; NSW, New South Wales; QLD, Queensland; SA, South Australia; SD, standard deviation, TAS, Tasmania; VIC, Victoria, WA, Western Australia.
Figure 3 Patient satisfaction (mean ± SD) with the patient support program.