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Table 4 Patient reported outcome measures of depression: measurement properties

From: What are the optimal measures to identify anxiety and depression in people diagnosed with head and neck cancer (HNC): a systematic review

 

Methoda

HADS

QIDS-SR

SDS

BDI

CES-D

PHQ-9

GDS-SF

BSI-18

DUKE-AD

MDI

CDS

DASS 21

Item generation

Literature

✓

✓

✓

✓

✓

✓

✓

✓

 

✓

✓

✓

 

Patient/person interviews

✓

✓

✓

✓

✓

✓

✓

✓

 

✓

  
 

Clinician interviews/Expert opinion

 

✓

✓

  

✓

✓

✓

    

Item reduction

Missing data for summary scores

            
 

Missing item data

            
 

Factor Analysis

✓

✓

✓

✓

✓

✓

✓

✓

 

✓

✓

✓

Psychometric analyses

Cronbach’s α

✓

✓

✓

✓

✓

✓

✓

✓

✓

✓

✓

✓

 

Test-retest reliability

✓

 

✓

✓

✓

✓

✓

✓

✓

  

✓

 

Content validity

✓

✓

✓

✓

✓

✓

✓

✓

 

✓

 

✓

 

Item total correlations

✓ ✓

✓

✓

✓

✓

✓

 

✓

 

✓

 

✓

 

Convergent/discriminant (or divergent) validity

✓

✓

✓

✓

✓

✓

✓

✓

✓

✓

✓

✓

 

Hypothesis testing

✓

✓

✓

✓

✓

✓

✓

 

✓

  

✓

 

Translated into other languages

✓

✓

✓

✓

✓

✓

✓

✓

✓

  

✓

Cut off points

Responsiveness

✓

✓

✓

✓

✓

✓

✓

✓

✓

✓

 

✓

Clinical cut-off

✓

✓

✓

✓

✓

✓

✓

✓

✓

✓

 

✓

Clinical cut-off for cancer

✓

 

✓

✓

✓

✓

 

✓

   

✓

  1. HADS Hospital anxiety and depression scale, QIDS-SR Quick inventory of Depressive Symptomatology self-report, SDS Zung self-rating depression scale, BDI Beck Depression inventory, CES-D Center for Epidemiologic Studies Depression Scale, PHQ-9 Patient Health Questionnaire −9, GDS-SF Geriatric Depression Scale – Short form, BSI-18 Brief symptom inventory −18, Duke-AD Duke anxiety depression scale, MDI Major depression inventory, CDS Carroll Rating Scale for Depression, DASS 21 Depression anxiety stress scale −21
  2. aCriteria based on the COSMIN checklist; ✓ - Present