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SYDNEY MEDICAL SCHOOL 12-MONTH FOLLOW-UP EFFECTS OF OVERDETECTION INFORMATION IN A BREAST SCREENING DECISION AID TRIAL Jolyn Hersch, Alexandra Barratt, Jesse Jansen, Gemma Jacklyn, Kevin McGeechan, Les Irwig, Hazel Thornton, Haryana Dhillon, Nehmat Houssami, Kirsten McCaffery Sydney School of Public Health @jolynhersch

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SYDNEY MEDICAL SCHOOL

12-MONTH FOLLOW-UP EFFECTS OF

OVERDETECTION INFORMATION IN A

BREAST SCREENING DECISION AID TRIAL

Jolyn Hersch, Alexandra Barratt, Jesse Jansen, Gemma Jacklyn, Kevin McGeechan, Les Irwig,

Hazel Thornton, Haryana Dhillon, Nehmat Houssami, Kirsten McCaffery

Sydney School of Public Health

@jolynhersch

OVERDETECTION / OVERDIAGNOSIS

› Screening early diagnosis + treatment

reduce breast cancer deaths

› Overdiagnosis / overdetection

- Finding disease that would not present clinically in lifetime

- Leads to overtreatment

› What is the risk of overdetection through regular screening?

- Estimates vary

- 30% of breast cancers diagnosed in regularly screened women, during the active screening period (Jacklyn et al. 2016)

Image from guardian.co.uk

2

RATIONALE FOR STUDY

› Breast screening can lead to overdetection / overdiagnosis

and overtreatment of inconsequential breast cancers

- Harm to physical and emotional health in short and long term

3

› “Information should be made available in a

transparent and objective way to women

invited to screening so that they can make

informed decisions” - Independent UK Panel

› Need to investigate the effects of giving

women information about overdetection

STUDY QUESTION & OUTCOMES

› What are the consequences of providing

written info about overdetection of breast cancer

to women approaching the age of invitation to screening?

- Primary outcome: informed choice about screening

- Other outcomes: knowledge, attitudes, intentions,

psychosocial wellbeing (anxiety, worry), risk perceptions,

screening participation

4

DESIGN & PARTICIPANT FLOW

5

Qualitative stream (n = 63)

Intervention DA (n = 440): benefit + overdetection +

false positives

Telephone survey (n = 838)

Primary outcome = informed choice

Secondary outcomes

Quantitative stream (n = 879)

R

Telephone survey: Baseline measures (n = 942)

Send BreastScreen NSW leaflet

FOLLOW-UP @

3 weeks

BASELINE

R

Women aged 48-50 years

Control DA (n = 439): benefit +

false positives only

Send decision aid (DA) booklet

RECRUITMENT

Mail-out #2

Mail-out #1

Telephone surveys (n = 790; n = 746)

Secondary outcomes FOLLOW-UP @

6 & 12 months

METHODS

6

DESIGN & PARTICIPANT FLOW

7

Qualitative stream (n = 63)

Intervention DA (n = 440): benefit + overdetection +

false positives

Telephone survey (n = 838)

Primary outcome = informed choice

Secondary outcomes

Quantitative stream (n = 879)

R

Telephone survey: Baseline measures (n = 942)

Send BreastScreen NSW leaflet

FOLLOW-UP @

3 weeks

BASELINE

R

Women aged 48-50 years

Control DA (n = 439): benefit +

false positives only

Send decision aid (DA) booklet

RECRUITMENT

Mail-out #2

Mail-out #1

Telephone surveys (n = 790; n = 746)

Secondary outcomes FOLLOW-UP @

6 & 12 months

SUMMARY OF INITIAL FINDINGS

Compared with the control DA, the intervention resulted in

› improved knowledge about breast screening

› less positive attitudes towards having breast screening

› reduced intentions to have breast screening in next 2-3 years

› more women making an informed choice

› lower worry about breast cancer

› no differences in anxiety or perceived risk of breast cancer.

8

DESIGN & PARTICIPANT FLOW

9

Qualitative stream (n = 63)

Intervention DA (n = 440): benefit + overdetection +

false positives

Telephone survey (n = 838)

Primary outcome = informed choice

Secondary outcomes

Quantitative stream (n = 879)

R

Telephone survey: Baseline measures (n = 942)

Send BreastScreen NSW leaflet

FOLLOW-UP @

3 weeks

BASELINE

R

Women aged 48-50 years

Control DA (n = 439): benefit +

false positives only

Send decision aid (DA) booklet

RECRUITMENT

Mail-out #2

Mail-out #1

Telephone surveys (n = 790; n = 746)

Secondary outcomes FOLLOW-UP @

6 & 12 months

KNOWLEDGE & ATTITUDES, 12m

Outcome Intervention

Group

Control

Group

P value

Adequate conceptual

knowledge 40% 20% <.01

Positive attitudes

towards screening 77% 85% <.01

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ANXIETY & PERCEIVED RISK, 6m

Outcome Intervention

Group

Control

Group

P value

Anxiety (STAI-short) 32.5 32.7 .8

Perceived risk (absolute)

No chance

Low chance

Medium / high chance

04%

64%

32%

04%

57%

39%

.1

Perceived risk (relative)

Much / a bit lower

About the same

A bit / much higher

32%

61%

07%

29%

62%

10%

.4

11

ANXIETY & PERCEIVED RISK, 12m

Outcome Intervention

Group

Control

Group

P value

Anxiety (STAI-short) 31.7 32.2 .6

Perceived risk (absolute)

No chance

Low chance

Medium / high chance

03%

63%

35%

04%

59%

38%

.5

Perceived risk (relative)

Much / a bit lower

About the same

A bit / much higher

38%

53%

10%

31%

60%

09%

.1

12

BREAST CANCER WORRY, 6 & 12m

Outcome Intervention

Group

Control

Group

P value

6m – Breast cancer worry

Not worried at all

A bit worried

Quite worried

Very worried

45%

51%

04%

01%

38%

55%

06%

02%

.05

12m – Breast cancer worry

Not worried at all

A bit worried

Quite worried

Very worried

47%

49%

04%

01%

39%

55%

05%

02%

.07

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MAMMOGRAPHY, 6m

14

0%

5%

10%

15%

20%

25%

30%

35%

Intervention Control

6 months

MAMMOGRAPHY, 12m

15

0%

5%

10%

15%

20%

25%

30%

35%

Intervention Control

12 months

6 months

SUMMARY & NEXT STEPS

› Including information about overdetection in a decision aid

› improved conceptual knowledge and shifted attitudes

› did not raise anxiety; lowered breast cancer worry

- These effects persisted 12 months post-intervention

› Although screening intentions differed between study groups,

self-reported screening uptake did not differ after 12 months

› Final, 2-year follow-up round just completed, including both

self-reported and objectively recorded screening participation

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ACKNOWLEDGEMENTS

› Kirsten McCaffery, Jesse Jansen, Alexandra Barratt, Les Irwig

› Kevin McGeechan, Gemma Jacklyn, Nehmat Houssami

› Haryana Dhillon, Hazel Thornton, Jenn Kidd

National Health and Medical Research Council

Screening and Test Evaluation Program

[email protected]

@jolynhersch

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