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Table 3 Results of the principal component analysis (2 factor solution)

From: Measuring patient-perceived continuity of care for patients with long-term conditions in primary care

Chao item no.

Variable descriptor

Component

1

2

1A

Different doctors

.486

 

1B

Past medical problems

 

.600

1C

Location

 

-.402

1D

Medication

 

.456

1E

Same doctor

.431

 

1 F

Prior knowledge

 

.428

1G

Unknown problems

.483

 

1H

Care for all problems

.480

.474

2A

On-going relationship

.454

.579

2B

Unrelated medical problems

.558

 

2C

Personal problems

  

2D

Knowledge of family members

.418

.430

2E

Ease of communication

.525

 

2 F

Knowledge of family problems

.579

 

2G

Poor explanations

.647

 

2H

Emergency care preference

 

.461

2I

Waiting for own doctor

  

2 J

Referrals

 

.514

2 K

Provides pre-admission care

 

.483

2 L

Provides ER care

 

.577

2 M

Trust recommendations

.410

.428

2 N

Recognition

.424

.519

2O

Trust personal

.558

.504

  1. Overlapping items are highlighted in bold type.
  2. Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization.
  3. Rotation converged in 3 iterations.