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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.