Men s treatment preferences for prostate cancer: results from a discrete choice experiment. Funded by NHMRC Project & Program Grants

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Transcription:

Men s treatment preferences for prostate cancer: results from a discrete choice experiment Madeleine King David Smith Ishrat Hossain Rosalie Viney Deborah Street Jordan Louviere Sandy Fowler Elizabeth Savage Bruce Armstrong Funded by NHMRC Project & Program Grants Australian Health Outcomes Conference 30 April -1 May 2008 PCOS Study team Investigators, Advisory Group Prof Bruce Armstrong Sydney University, Sydney Cancer Centre Mr David Smith Cancer Council NSW Dr Martin Berry Liverpool Cancer Centre A/Prof Madeleine King Centre for Health Economics Research and Evaluation Mr Con Casey Consumer, Prostate Cancer Foundation of Australia Dr Paul Cozzi St George Hospital Dr Andrew Brooks Westmead Hospital A/Prof Phillip Stricker St Vincent's Hospital and UNSW Dr John Grygiel St Vincent's and UNSW Prof Jeanette Ward South West Sydney AHS and UNSW 2 Working Group Jennifer Rodger Jane Picker Rebecca Dennis Dianne Sirl Amelia Shann Jackie Turner Rebecca Hyland Leslie McCawley Chrissie Politis

PCOS - Patient recruitment & data collection: 2000-2008 3 3195 eligible cases identified by NSW Ca Registry 83% of pt s clinicians (n=264) consented to contact pts 2658 patients written to by registry 2021 (76%, 64%) consent for researchers to contact them 1993 (99%, 62%) consent to telephone interview, baseline HRQOL Reason for Dr No 336 Blanket No 152 case by case 49 pending at close Reason for pt refusal 246 non contactable 32 no time 30 don t like surveys 16 sick or dead 10 wish to forget 1901 (95%, 59%) HRQOL 1 yr post diagnosis 1798 (95%, 56%) HRQOL 2 yr post diagnosis 1728 (96%, 54%) HRQOL 3 yr post diagnosis Stratified (by tmt group) random sample of 510 Treatment Preferences Survey Initial primary therapy 4 Brachy (HDR wires) 3% Brachy (LDR seeds) 2% Hormone therapy 8% Active surveillance 11% External beam radiotherapy 19% Radical prostatectomy 57%

Initial primary therapy by stage 5 100% 80% Brachy (HDR wires) Percent 60% 40% 20% Brachy (LDR seeds) Hormone therapy External beam radiotherpy Radical prostatectomy Active surveillance 0% T1a T1b T1c T2a T2b T2c T3a T3b T3c T4 Stage Background 6 A number of treatment options for localised prostate cancer Surgery Radiotherapy watchful waiting Each one has significant morbidity Differs b/n tmts Affects different aspects of HRQOL No clear survival advantage Patient preference should be an important factor in treatment decisions

Aim 7 Patients views of : relative tolerability of side effects survival gains needed to make persistent treatment side-effects worthwhile Discrete Choice Experiments 8 Based on economic theory of consumer demand DCE is a stated preference method Marketing, transport, environmental econ, health Two main components the use of experiments to generate the required data the use of discrete choice analysis to model preferences from the generated data Allow to model the influence and relative importance of several attributes on the choices

9 Which side-effects to include? Collaborated with clinicians: 7 side-effects: impotence, libido, urinary leakage and blockage, bowel symptoms, fatigue and hormonal effects 3 levels: none, mild, severe Life expectancy 4, 8, 12 years Option A With this treatment option you will experience the following: Never able to achieve an erection when you want one Option B With this treatment option you will experience the following: No problems achieving an erection when you want one 10 Less sexual desire Less sexual desire Severe problems with leaking urine (no urinary control whatsoever) Some problems with urine blockage (have a weak urine stream but get some relief or comfort afterwards) No bowel problems Occasional problems with leaking urine Some problems with urine blockage (have a weak urine stream but get some relief or comfort afterwards) Occasional loose bowel movements with discomfort/pain Severe tiredness and loss of energy Some tiredness and loss of energy Severe hot flushes and moodiness No hot flushes or moodiness Most people who have this option live between 3 and 21 years, but on average for 12 years Most people who have this option live between 3 and 5 years, but on average for 4 years 3 12 21 3 4 5 Would you choose option A or B? Option A.. OR Option B..

Piloted the questionnaire first 11 Developed script for HVRF experienced group of telephone interviewers already working on quality of life interviews for the PCOS Pilot sample selection PCOS participants (approx 1900) were stratified by treatment group 21 randomly selected to participate in the pilot 18 consented & recruited by Cancer Council Pilot Results All 18 pilot participants completed the survey one participant found it a lengthy exercise another found it quite confronting Took 15-45 mins to complete General feedback from both the interviewers and participants very positive Recommendations incorporated into the main DCE 12

Full survey Random sample of PCOS participants Stratified by treatment Approx 3 years post-diagnosis Data collection as per pilot questionnaire in post, CATI one week later 510 contacted 440 consented (86%) 422 completed (83%) 1 completed only 2 scenarios excluded 2 completed 14, 17 respectively included Total choice observations = 7,573 13 Analysis & Interpretation Statistical Model Conditional logit model P(choose A Side Effect profiles A, B) What will the results tell us? Side effect coefficients tell us about how each SE influences men s choices Sign & size of these coefficients Relative tolerability of side-effects Combine with survival coefficient Survival gains needed to make these worthwhile 14

15 We asked a group of clinicians: What do you think about relative tolerability of side-effects? From your patients perspective Which of the following severe side-effects do you think is WORST from your patients perspective 9% 7% 33% 9% 37% 0% 5% 1. Impotence never able to achieve an erection when you want 2. Loss of libido complete loss of sexual desire 3. Urinary leakage severe problems with leaking urine no urinary control whatsoever 4. Urinary blockage continually feeling the need to urinate but passing very little with no relief afterwards 5. Bowel symptoms very frequent loose bowel movements with discomfort/pain & leakage 6. Fatigue severe tiredness & loss of energy 7. Hormonal effects severe hot flushes & moodiness 16

What the PCOS sample said: 17 Rank Side-Effect & Severity Model estimate 1. Severe Leakage -0.79 2. Severe Bowel symptoms -0.73 3. Severe Blockage -0.62 4. Severe Fatigue -0.40 5. Severe Hormonal effects -0.33 6. Mild Bowel symptoms -0.22 7. Mild Hormonal effects -0.20 8. Mild Urinary Blockage -0.15 9. Severe Impotence -0.14 10. Mild Fatigue -0.13 11. Severe Libido loss -0.10 12. Mild Leakage -0.07 13. Mild Impotence 0.14 14. Mild Libido loss 0.15 } } } } } (SE ~ 0.04) Side Effect Did men s treatment experience affect their preferences? n = RP 64 EBR 66 HDB 29 LDB 31 Ho 37 WW S Urinary leakage 2 2 1 2 1 1 1 S Bowel symptoms 1 1 2 1 2 2 3 S Urinary blockage 3 4 3 3 4 3 2 S Fatigue 4 3 -* -* - 5 4 S Hormonal effects 5 5 - - - 4 -* S Impotence - - 4 5 + - - M Impotence +* + 5 + + +* + M Bowel -* - 6 4 - -* - 66 C 65 18

Survival benefit required to make persistent side-effects worthwhile 19 In welfare economics, valuation of attributes is done in monetary units compensating variation (CV) CV is the amount of money the individual would be willing to pay to secure a improvement in attributes. Adapted this to find the valuation of sideeffects in terms of survival benefit analogous to QALYs Example & interpretation 20 Severe urinary leakage SevUL = -0.79, Surv/yr = 0.1845 CV = 3.6 years A man with an average life expectancy of 8 years would need an additional 3.6 years of survival to be compensated for persistent, severe problems, ie no urinary control He would be indifferent between 8 years with no problems with leaking urine and 11.6 years with severe problems with leakage

21 Survival benefit required to make persistent side-effects worthwhile M Libido loss M Impotence M Leakage S Libido loss M Fatigue S Impotence M Blockage M Hormonal M Bowel S Hormonal S Fatigue S Blockage S Bowel S Leakage -1 0 1 2 3 4 Survival Benefit (Years) Conclusions 22 Urinary dysfunction (leakage and blockage) and bowel symptoms - least tolerable Then fatigue & hormonal symptoms (eg moodiness and hot flushes) Sexual dysfunction (impotence and loss of libido) - relatively benign in comparison The first empirical estimates of survival benefits needed to make treatment side effects worthwhile? how will these compare with survival benefits conferred

23 Patients views of relative tolerability of side effects & survival gains needed to make persistent treatment side-effects worthwhile Technical details CHERE Working Paper 2006/14 CHERE, Sydney, 2006 www.chere.uts.edu.au Thank you Random utility theory The utility that individual i derives from alternative j in scenario s is composed of systematic and random components denoted by (2) U (1) isj X isj isj 24 where X isj is a K x 1 vector of explanatory variables and is a conformable vector of coefficients.

Statistical model In choosing between 2 alternatives in each scenario, it is assumed that person i chooses the alternative that gives him the maximum utility. Then, the probability of choosing alternative 1 in scenario s is: P is1 = P (U is1 > U is2 ) Assuming that the random components () are identically and independently distributed (IID) as extreme value, the probability of the choice can be estimated by the binary logit model: (4) P is1 exp( X is1 ) exp( X ) exp( X is1 is2 ) 25 CV - worked example 26 For two mutually exclusive choices, the CV function can be represented by CV 1 0 1 ln 1 V V e ln 1 e (1) Where V 0 and V 1 are the initial and new health state respectively and is the marginal utility of income (ie, survival).

Our currents estimations of CVs are based on changing one attribute at a time. Thus: 0 V S 3 V 1 1 V0 2 1 2 3 S 27 3 where S is survival (years). Calculating CV (cont.) 28 Equation (1) can be rewritten as 1 CV 3 ln 1 3 3S 1 2 S e 1 ln 1 e (2) Substitute parameter estimates to get CV.