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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.