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IPOS2009 – Talk
   IPOS2009 – Talk

  How Accurate are Cancer Professionals’
  How Accurate are Cancer Professionals’
  Assessments of depression and distress:
  Assessments of depression and distress:
  A Meta-analysis of Diagnoses by Oncologists & Clinical Nurse Specialists
   A Meta-analysis of Diagnoses by Oncologists & Clinical Nurse Specialists




     Alex Mitchell          alex.mitchell@leicspart.nhs.uk
     NHS Consultant Liaison Psychiatrist, Leicester Royal Infirmary UK

     Paul Symonds
     Reader in Clinical Oncology, Leicester Royal Infirmary UK




Individual Lecture 2-24June 2009: 9.00am (Category Communication Skills) Sess 13 Lect 3
Background
Background
Methods to Evaluate Depression



 Unassisted Clinician                      Conventional Scales

Untrained Trained                             Short (5-10) Long (10+)
                        Ultra-Short (<5)




 Acceptability?         Acceptability ?            Acceptability ?


   Accuracy?              Accuracy?                   Accuracy?


 Implementation         Implementation            Implementation
n=226   How=>
Cancer Staff                                                                        Psychiatrists
           Current Method (n=226)

                                Other/Uncertain
                                      9%                                                                    Other/Uncertain
   ICD10/DSMIV                                                                                                    2%
       0%                                                                  ICD10/DSMIV
                                                                               13%
Short QQ
  3%




             1,2 or 3 Sim ple
                    QQ
                   15%
                                                                                                                              Clinical Skills
                                                                Use a QQ                                                          Alone
                                                                  15%                                                              55%
                                              Clinical Skills
                                                  Alone
                                                   73%                                   1,2 or 3 Sim ple
                                                                                                QQ
                                                                                               15%




                                                                                                                        [handout 6]
Cancer Staff                                           Psychiatrists
              Ideal Method (n=226)

                                                                                          Effective?

                                                                       Long QQ
                                                                         8%


                           Clinical Skills                                       Clinical Skills
                               Alone                                                 Alone
               Algorithm                                                              20%
                                17%
                  26%
                                                       ICD10/DSMIV
                                                           24%



ICD10/DSMIV                                                                               1,2 or 3 Sim ple
    0%                              1,2 or 3 Sim ple                                             QQ
                                           QQ                                                   24%
               Short QQ                   34%
                 23%
                                                                     Short QQ
                                                                       24%




                                                                                     [handout 6]

                                                                                                   Validity=>
Assessing Clinicians
Assessing Clinicians
Testing Clinicians vs DT
114 ratings from clinical nurse specialists (CNS).


  81 individuals (71%) scored above a cut-off of 3 (mild distress)

  64 patients (56%) scored above a cut-off of 4 (moderate distress)

  37 (32.4%) individuals scores above 5 (severe distress)




                                                              [handout 7]
Results
                  DT 3v4 (mild, high prevalence)




          DT 4v5 (moderate, medium prevalence)




                DT 5v6 (severe, low prevalence)
1.00




           Post-test Probability
0.90



0.80



0.70



0.60



0.50



0.40


                                                                             Severe Distress CNS+
0.30
                                                                             Severe Distress CNS-
                                                                             Baseline Probability
                                                                             Mild Distress CNS+
0.20
                                                                             Mild Distress CNS-
                                                                             Mod Distress CNS+
                                                                             Mod Distress CNS-
0.10

                                                                                             Pre-test Probability
0.00
       0                           0.1   0.2   0.3   0.4   0.5   0.6   0.7          0.8             0.9             1
Assessing Clinicians – Meta-Analysis
Assessing Clinicians – Meta-Analysis
Testing Clinicians: A Meta-Analysis
Methods
12 studies reported in 7 publications. Two studies examined
  detection of anxiety, 8 broadly defined depression (includes
  HADS-T), 3 strictly defined depression and 7 broadly defined
  distress.

9 studies involved medical staff and 2 studies nursing staff. Gold
   standard tools including GHQ60, GHQ12 HADS-T, HADS-D,
   Zung and SCID.

The total sample size was 4786 (median 171).
Testing Clinicians: A Meta-Analysis
Results
All cancer professionals
SE =39.5% and SP =77.3%.

Oncologists
SE =38.1% and SP = 78.6%; a fraction correct of 65.4%.

By comparison nurses
SE = 73% and SP = 55.4%; FC = of 60.0%.

When attempting to detect anxiety
oncologists managed a SE = 35.7%, SP = 89.0%, FC 81.3%.



Individual Lecture 2-24June 2009: 9.00am (Category Communication Skills) Sess 13 Lect 3
1.00



  0.90       Post-test Probability
                                                      PPV          NPV
  0.80
                                      Doctor         0.458         0.724

  0.70
                                       Nurse         0.368         0.852

  0.60



  0.50



  0.40


                                                                                                   Nurse Positive
  0.30
                                                                                                   Nurse Negative

                                                                                                   Baseline Probability
  0.20
                                                                                                   Doctor Postive

                                                                                                   Doctor Negative
  0.10

                                                                                                                    Pre-test Probability
  0.00
         0                           0.1       0.2           0.3           0.4   0.5   0.6   0.7        0.8               0.9              1



N=10 vs N=2
Cumulative Recognition
Cumulative Recognition

    => Combinations
    => Combinations
N = 1000
                   Cancer Population
                                 n = 200                                     n = 800
                   Depression                    No Depression

                                                                         Se 70%
                   CNS Assessment                                        Sp 55%


                                    Screen #1    Screen #1
                                    +ve          -ve



         PPV 28%                                                   NPV 88%



                      TP = 140                                                         TN =440
Possible case         FP = 360
                                                Probable Non-Case                      FN = 60




                                                TN = 440     FP = 360         Se 70%   PPV 28%
           Yield                                TP = 140     FN = 60          Sp 55%   NPV 88%
N = 1000
                      Cancer Population
                                         n = 200                                      n = 800
                     Depression                           No Depression

                                                                                    Se 70%
                      CNS Assessment                                                Sp 55%


                                            Screen #1     Screen #1
                                            +ve           -ve



          PPV 28%                                                           NPV 88%



                           TP = 140                                                              TN =440
Possible case              FP = 360
                                                        Probable Non-Case                        FN = 60




                                       Sp 40%
Oncologist Assessment                  Sp 80%


       Screen #2    Screen #2
       +ve          +ve




          PPV 44%                                                         NPV 77%



                                      TP = 56                                                   TN =288
Probable Depression                   FP = 72
                                                        Probable Non-Case                       FN = 84




                                                         TN = 728     FP = 72          Se 28%    PPV 44%
            Cumulative Yield                             TP = 56      FN = 144         Sp 91%    NPV 83%
Poster session 3
(25 June 2009)

Poster category
1

(Communication
skills) Poster Nr.
18
Credits & Acknowledgments

  Elena Baker-Glenn      University of Nottingham
  Paul Symonds           Leicester Royal Infirmary
  Chris Coggan           Leicester General Hospital
  Burt Park              University of Nottingham
  Lorraine Granger       Leicester Royal Infirmary
  Mark Zimmerman         Brown University, Rhode Island
  Brett Thombs           McGill University Canada
  James Coyne            University of Pennsilvania



  For more information   www.psycho-oncology.info

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IPOS09 - How Accurate are Cancer Professionals’ Assessments of depression and distress (June09)

  • 1. IPOS2009 – Talk IPOS2009 – Talk How Accurate are Cancer Professionals’ How Accurate are Cancer Professionals’ Assessments of depression and distress: Assessments of depression and distress: A Meta-analysis of Diagnoses by Oncologists & Clinical Nurse Specialists A Meta-analysis of Diagnoses by Oncologists & Clinical Nurse Specialists Alex Mitchell alex.mitchell@leicspart.nhs.uk NHS Consultant Liaison Psychiatrist, Leicester Royal Infirmary UK Paul Symonds Reader in Clinical Oncology, Leicester Royal Infirmary UK Individual Lecture 2-24June 2009: 9.00am (Category Communication Skills) Sess 13 Lect 3
  • 3. Methods to Evaluate Depression Unassisted Clinician Conventional Scales Untrained Trained Short (5-10) Long (10+) Ultra-Short (<5) Acceptability? Acceptability ? Acceptability ? Accuracy? Accuracy? Accuracy? Implementation Implementation Implementation
  • 4. n=226 How=>
  • 5. Cancer Staff Psychiatrists Current Method (n=226) Other/Uncertain 9% Other/Uncertain ICD10/DSMIV 2% 0% ICD10/DSMIV 13% Short QQ 3% 1,2 or 3 Sim ple QQ 15% Clinical Skills Use a QQ Alone 15% 55% Clinical Skills Alone 73% 1,2 or 3 Sim ple QQ 15% [handout 6]
  • 6. Cancer Staff Psychiatrists Ideal Method (n=226) Effective? Long QQ 8% Clinical Skills Clinical Skills Alone Alone Algorithm 20% 17% 26% ICD10/DSMIV 24% ICD10/DSMIV 1,2 or 3 Sim ple 0% 1,2 or 3 Sim ple QQ QQ 24% Short QQ 34% 23% Short QQ 24% [handout 6] Validity=>
  • 8.
  • 9. Testing Clinicians vs DT 114 ratings from clinical nurse specialists (CNS). 81 individuals (71%) scored above a cut-off of 3 (mild distress) 64 patients (56%) scored above a cut-off of 4 (moderate distress) 37 (32.4%) individuals scores above 5 (severe distress) [handout 7]
  • 10. Results DT 3v4 (mild, high prevalence) DT 4v5 (moderate, medium prevalence) DT 5v6 (severe, low prevalence)
  • 11. 1.00 Post-test Probability 0.90 0.80 0.70 0.60 0.50 0.40 Severe Distress CNS+ 0.30 Severe Distress CNS- Baseline Probability Mild Distress CNS+ 0.20 Mild Distress CNS- Mod Distress CNS+ Mod Distress CNS- 0.10 Pre-test Probability 0.00 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
  • 12. Assessing Clinicians – Meta-Analysis Assessing Clinicians – Meta-Analysis
  • 13. Testing Clinicians: A Meta-Analysis Methods 12 studies reported in 7 publications. Two studies examined detection of anxiety, 8 broadly defined depression (includes HADS-T), 3 strictly defined depression and 7 broadly defined distress. 9 studies involved medical staff and 2 studies nursing staff. Gold standard tools including GHQ60, GHQ12 HADS-T, HADS-D, Zung and SCID. The total sample size was 4786 (median 171).
  • 14. Testing Clinicians: A Meta-Analysis Results All cancer professionals SE =39.5% and SP =77.3%. Oncologists SE =38.1% and SP = 78.6%; a fraction correct of 65.4%. By comparison nurses SE = 73% and SP = 55.4%; FC = of 60.0%. When attempting to detect anxiety oncologists managed a SE = 35.7%, SP = 89.0%, FC 81.3%. Individual Lecture 2-24June 2009: 9.00am (Category Communication Skills) Sess 13 Lect 3
  • 15. 1.00 0.90 Post-test Probability PPV NPV 0.80 Doctor 0.458 0.724 0.70 Nurse 0.368 0.852 0.60 0.50 0.40 Nurse Positive 0.30 Nurse Negative Baseline Probability 0.20 Doctor Postive Doctor Negative 0.10 Pre-test Probability 0.00 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 N=10 vs N=2
  • 16. Cumulative Recognition Cumulative Recognition => Combinations => Combinations
  • 17. N = 1000 Cancer Population n = 200 n = 800 Depression No Depression Se 70% CNS Assessment Sp 55% Screen #1 Screen #1 +ve -ve PPV 28% NPV 88% TP = 140 TN =440 Possible case FP = 360 Probable Non-Case FN = 60 TN = 440 FP = 360 Se 70% PPV 28% Yield TP = 140 FN = 60 Sp 55% NPV 88%
  • 18. N = 1000 Cancer Population n = 200 n = 800 Depression No Depression Se 70% CNS Assessment Sp 55% Screen #1 Screen #1 +ve -ve PPV 28% NPV 88% TP = 140 TN =440 Possible case FP = 360 Probable Non-Case FN = 60 Sp 40% Oncologist Assessment Sp 80% Screen #2 Screen #2 +ve +ve PPV 44% NPV 77% TP = 56 TN =288 Probable Depression FP = 72 Probable Non-Case FN = 84 TN = 728 FP = 72 Se 28% PPV 44% Cumulative Yield TP = 56 FN = 144 Sp 91% NPV 83%
  • 19. Poster session 3 (25 June 2009) Poster category 1 (Communication skills) Poster Nr. 18
  • 20. Credits & Acknowledgments Elena Baker-Glenn University of Nottingham Paul Symonds Leicester Royal Infirmary Chris Coggan Leicester General Hospital Burt Park University of Nottingham Lorraine Granger Leicester Royal Infirmary Mark Zimmerman Brown University, Rhode Island Brett Thombs McGill University Canada James Coyne University of Pennsilvania For more information www.psycho-oncology.info