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Table 2 Factor loadings of CP-PACIC items using Promax rotation (N = 546)

From: Adaptation and validation of the patient assessment of chronic illness care in United States community pharmacies

CP-PACIC items

PAF a

 

F1b

F2c

1. Asked for my ideas when we discussed treatment/medicine options

 

0.59

2. Given choices about treatment/medicine to think about

 

0.51

3. Asked to talk about any problems with my medicines or their effects

 

0.75

4. Given written materials of things I should do to improve my health

 

0.53

5. Satisfied that my care was well organized

 

0.84

6. Informed how what I did to take care of my illness influenced my health condition(s)

 

0.58

7. Asked to talk about my goals in caring for my illness

0.64

 

8. Helped to set specific goals to improve my eating or exercise

0.80

 

9. Given a copy of my treatment/medicine plan

 

0.59

10. Encouraged to go to a specific group or class to help me cope with my chronic illness

0.97

 

11. Asked questions, either directly or on a survey, about my health habits

0.83

 

12. Sure that my pharmacists thought about my values and my traditions when they recommended treatments to me

 

0.54

13. Helped to make a treatment/medicine plan that I could do in my daily life

0.53

 

14. Helped to plan ahead so I could take care of my illness even in hard times

0.53

 

15. Asked how my chronic illness affects my life

0.77

 

16. Contacted after a visit to see how things were going

0.77

 

17. Encouraged to attend programs in the community that could help me

1.02

 

18. Referred or encouraged to talk with a dietician, health educator, or counselor

0.94

 

19. Told how my visits with other types of health care providers, like doctors and nurse practitioners, helped my treatment

0.90

 

20. Asked how my visits with other health care providers were going

0.82

 
  1. Abbreviations: CP-PACIC Community Pharmacy-Patient Assessment of Chronic Illness Care, PAF Principal Axis Factoring
  2. aPattern matrix loading factors are reported, 2 factors extracted, variance explained was 64.7%
  3. bCronbach’s alpha for Factor 1 “advanced pharmacy chronic illness care subscale” 0.97
  4. cCronbach’s alpha for Factor 2 “traditional pharmacy chronic illness care subscale” 0.89