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Table 3 Final confirmatory factor analysis model

From: Defining a patient-centered approach to cancer survivorship care: development of the patient centered survivorship care index (PC-SCI)

Factors and items

   

Factor 1. Information and support in survivorship

Factor-based score: Mean (SD): 3.38 (1.13),

Cronbach’s α= 0.93, McDonald's omega =0.93,

AVE=0.66

 

Standardized factor loading

Standardized residual variance (1-R2)

Explained variance (R2)

Clinician discusses screening needs and recommendations for follow up carea

0.81 (0.02)

.338

.662

Clinician discusses late/long-term side effects of cancer and treatmenta

0.83 (0.03)

.318

.682

Clinician helps patient follow through on recommendations for follow-up

0.81 (0.03)

.340

.660

Clinician provides patient with written treatment summaryb

0.76 (0.03)

.422

.578

Clinician provides patient with written survivorship care plan with recommendations for FU careb

0.81 (0.02)

.340

.660

Clinician and patient decide together when and how to transition from oncologist to PCP

0.82 (0.03)

.327

.673

Clinician explains things about cancer follow up care in a way easy to understand

0.84 (0.02)

.296

.704

Factor 2. Medical home

Factor-based score: Mean (SD): 3.53 (0.96), Cronbach’s α=0.94, McDonald’s omega=0.94, AVE=0.62

 

Standardized factor loading

Standardized residual variance (1-R2)

Explained variance (R2)

Clinician explains reason for medical tests related to follow-up care

0.80 (0.04)

.359

.641

Clinician addresses patient emotional concerns when discussing follow-up care

0.72 (0.03)

.481

.519

Patient has enough time to ask questions/voice concerns during visitsc

0.82 (0.02)

.327

.673

Clinician listens carefully to concerns related to patient health that may be related to cancer after treatmentc

0.84 (0.02)

.296

.704

Clinician shows respect for what patient has to say about follow up care

0.83 (0.02)

.304

.626

Clinician helps figure out reasons for new health care problems and whether they are related to cancer

0.80 (0.04)

.355

.645

Patient has regular clinician/place to get healthcare needs met including follow-up care

0.84 (0.02)

.297

.703

Patient has a point of contact to answer questions/concerns about follow-up care

0.84 (0.02)

.291

.709

All clinicians can access medical records online or through EHR

0.67 (0.04)

.547

.453

Patient has team of clinicians who all work together to address follow-up health care

0.68 (0.04)

.543

.457

Factor 3. Patient engagement

Factor-based score: Mean (SD): 4.14 (0.82)

Cronbach’s α=0.86, McDonald’s omega =0.86

AVE=0.67

 

Standardized factor loading

Standardized residual variance (1-R2)

Explained variance (R2)

Patient is included in decision-making about your cancer-related follow-up care

0.72 (0.04)

.479

.521

Patient is informed about what to do every day to take care of health and healthcare needs

0.88 (0.02)

.221

.779

Patient feels in control of health and can manage health care needs

0.84 (0.03)

.303

.697

Factor 4. Care coordination

Factor-based score Mean (SD): 4.17 (0.86)

Cronbach’s α=0.90, McDonald’s omega =0.91

AVE=0.66

 

Standardized factor loading

Standardized residual variance (1-R2)

Explained variance (R2)

All clinicians involved in care know patient’s medication

0.83 (0.02)

.314

.686

All clinicians have medical files on cancer care

0.89 (0.02)

.205

.795

All clinicians share information with each other about follow-up care

0.85 (0.03)

.284

.716

Clinicians can give patient the name of a doctor to make an appointment with if they need more follow-up care

0.88 (0.02)

.221

.779

Patient receives complete physical exam with medical history

0.56 (0.05)

.685

.315

Factor 5. Help navigating insurance

Factor-based score Mean (SD): 3.59 (1.11)

Cronbach’s α=0.89, McDonald's omega =0.89

AVE=0.73

 

Standardized factor loading

Standardized residual variance (1-R2)

Explained variance (R2)

Patient has help understanding insurance coverage options for medical services

0.86 (0.02)

.266

.734

Patient has help understanding insurance coverage options for Rx and OTC drugs

0.92 (0.02)

.161

.839

Patient has help with insurance problems, e.g. rejected claims

0.79 (0.04)

.373

.627

Factor 6. Care transitions

Factor-based score Mean (SD): 3.49 (1.12)

Cronbach’s α=0.86, McDonald's omega =0.88

AVE=0.71

 

Standardized factor loading

Standardized residual variance (1-R2)

Explained variance (R2)

Receive instructions on when and how to transition care from oncologist back to PCP

0.82 (0.02)

.324

.676

Patient remains under care of cancer doctor until ready to move care back to primary care doctor

0.87 (0.03)

.237

.763

Cancer doctor stays informed of patient health after patient transfers care to primary care doctor

0.83 (0.03)

.311

.689

Factor 7. Prevention and wellness services

Factor-based score Mean (SD): 3.06 (1.00)

Cronbach’s α=0.84, McDonald's omega =0.81

AVE=0.45

 

Standardized factor loading

Standardized residual variance (1-R2)

Explained variance (R2)

Patient has regular access to exercise and physical activity servicesd

0.47 (0.05)

.781

.219

Patient has regular access to nutrition and dietary servicesd

0.63 (0.05)

.606

.394

Patient has regular access to risk reduction programs (e.g. weight loss, smoking cessation)

0.72 (0.04)

.482

.518

Clinicians can provide referrals to patient for mental health effects related to cancer treatment

0.76 (0.03)

.423

.577

Patient has support to manage roles and relationships with partner, family, and others

0.75 (0.03)

.436

.564

  1. Note: 1. All standardized factor loadings are significantly different from zero (ps<0.001). 2. There are four pairs of residual error correlations with the corresponding items in bold: the correlation coefficient (r) between the residual errors of two items marked with a is 0.375 (p<0.001), r for the two items marked with b is 0.491 (p<0.001), r for the two items marked with c is 0.389 (p<0.001) and r for the items marked with d is 0.615 (p<0.001). All the factors are positively correlated with the correlation coefficient ranging within 0.498-0.828 (all ps<0.001). The model fitness criteria: Chi-square: 1356.52(569), p<0.001, RMSEA: 0.047, CFI: 0.911, TLI: 0.902, SRMR:0.060. Factor-based score was created based on the mean of the scores of the items within each factor, accounting for sampling weight