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Table 2 Pattern matrix of principal components analysis

From: Validation of the Intermountain patient perception of quality (PPQ) survey among survivors of an intensive care unit admission: a retrospective validation study

  Component
1 2 3 4
Nursing items     
Did the nurse explain? .971 .077 -.123 -.074
Nurse caring and concern .967 -.056 .024 -.110
Nurse skill .916 .066 -.150 .027
Nurse listening/consideration of your insights .877 -.073 .065 -.020
Did the nurse follow up? .767 -.061 .119 .038
Physician items     
Did the physician explain? -.011 .947 -.041 -.019
Physician caring and concern -.040 .944 .040 -.052
Physician skill .028 .905 -.043 -.001
Overall items     
How well was your pain controlled? -.148 -.071 1.044 -.085
Confidence the ICU provided best care possible .046 .012 .925 -.195
Overall quality of care provided .269 .050 .596 .002
Independent items     
Did the team work together to coordinate care? .254 .044 .452 .189
Team incorporated your concerns into decision making .238 .162 .381 .167
Did the team prepare you to leave the ICU? .116 .165 .375 .240
Was your room clean? -.081 -.046 -.162 1.114
Did staff respect your privacy? .231 .004 .269 .383
  1. Extraction method: Principal component analysis; Rotation method: Promax with Kaiser Normalization. The loadings most prominent in a given principal component are bolded.