Table 1.

Assignments of independent variables in regression analyses of satisfaction

Independent variable	Variable assignment
Genderab	Male = 0; Female = 1
Ageab	<30 = 1; 30–50 = 2; >50 = 3
Education levelab	Primary school and below = 1; Middle school = 2; High school = 3; Junior college = 4; University and above = 5
Household income per montha	<1000 = 1; 1000–1999 = 2; 2000–2999 = 3; 3000–4999 = 4; 5000 and more = 5
Monthly incomeb	<1000 = 1; 1000–1999 = 2; 2000–2999 = 3; 3000–4999 = 4; 5000 and more = 5
Training timesb	Actual value
Knowledge on NEMSab	Have no idea = 1; Heard of = 2; Relative familiar = 3; Familiar = 4; Highly familiar = 5
Knowledge on EMLb	Have no idea = 1; Heard of = 2; Relative familiar = 3; Familiar = 4; Highly familiar = 5
Knowledge on medicine zero-profit policya	Have no idea = 1; Heard of = 2; Relative familiar = 3; Familiar = 4; Highly familiar = 5
Knowledge on medicine reimbursement policyab	Have no idea = 1; Heard of = 2; Relative familiar = 3; Familiar = 4; Highly familiar = 5

Note: ^aindependent variables for patients’ satisfaction

^bindependent variables for professionals’ satisfaction