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Table 2 Variables used in the models

From: Reported experience of patients with single or multiple chronic diseases: empirical evidence from Italy

Domains of the framework

Variables

Operationalization of the variables

Variables in the statistical model

Outcomes of care

Better self - management

‘After meeting your GP, do you feel to be able to better self manage your own situation’ - (1 = yes; 0 = no)

Dependent variable model 1 and 2

Overall satisfaction

Ordinal scale: 1 worse, 2 medium, 3 good, 4 very good.

Dependent variable model 3 and 4

Process of care

Self-management support (Education)

Sum of 6 dummy variables:1 ‘Explain how to monitor major symptoms’; 2 ‘Explain how to carry out medication’; 3 ‘Explain what to do in urgent case’; 4 ‘Explain how to control the pain’; 5 ‘Explain how to control the stress’; 6 ‘Suggest following a healthy diet’.

Independent variable model 1–4

Delivery system design (Proactivity)

Average of two dummy variable, considering if the GP or the nurse have planned the visit or the patient has to do by his/her own

Independent variable model 1–4

Decision support system (Monitoring)

Sum of 5 dummy variables:1. ‘during your visit GP controlled pressure’; 2. ‘during your visit GP controlled glycemic measures’; 3. ‘during your visit GP controlled weight’; 4. ‘during your visit GP controlled waist circumference’ and 5. ‘during your visit GP controlled your life style’

Independent variable model 1–4

Intermediate outcomes of care

Relational continuity of care

Sum of 3 dummy variables: “He/she knows important information about my medical background”;“He/she knows about my living situation”; “This doctor doesn’t just deal with medical problems but can also help with personal problems and worries”

Independent variable model 1–4

Other variables

CCM

1 = enrolled in CCM, 0 = not enrolled in CCM

Independent variable model 1–4

Age

Continuous variable

Independent variable model 1–4

Health status

Self assessment of health status from 0 to 10

Independent variable model 1–4

Gender

1 = female, 0 = male

Independent variable model 1–4