What was the percentage change in Accrued roadside assistance claim costs in 2019 from 2018?
{"Accrued purchases": {"2019": 4328, "2018": 1679}, "Accrued legal and professional fees": {"2019": 3860, "2018": 3380}, "Accrued customer-acquisition advertising costs (Note 1)": {"2019": 3745, "2018": 2831}, "Deferred Symphony acquisition purchase price (Note 4)": {"2019": 3517, "2018": 3394}, "Accrued roadside assistance claim costs": {"2019": 1709, "2018": 1330}, "Accrued telephone charges": {"2019": 1605, "2018": 2000}, "Financial derivatives (Note 12)": {"2019": 251, "2018": 2859}, "Accrued restructuring (Note 5)": {"2019": 56, "2018": 976}, "Accrued rent (Note 3)": {"2019": "\u2014", "2018": 3283}, "Other": {"2019": 10259, "2018": 9503}, "": {"2019": 29330, "2018": 31235}}
accrued_roadside_assistance_claim_costs_2019 = df["Accrued roadside assistance claim costs"]["2019"]
accrued_roadside_assistance_claim_costs_2018 = df["Accrued roadside assistance claim costs"]["2018"]
answer = (accrued_roadside_assistance_claim_costs_2019 - accrued_roadside_assistance_claim_costs_2018) / accrued_roadside_assistance_claim_costs_2018 * 100.0