The Effect of Product Characteristics on Perceptions of E-cigarettes among Canadians

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The Effect of Product Characteristics on Perceptions of E-cigarettes among Canadians. Christine Czoli, PhD Student May 28, 2014. Background. - PowerPoint PPT Presentation

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The Effect of Product Characteristics on Perceptions of E-cigarettes among Canadians

Christine Czoli, PhD Student

May 28, 2014

Background

Source: Alderman L. (2013). E-Cigarettes are in vogue and at a crossroads. Retrieved from: http://www.nytimes.com/2013/06/13/business/e-cigarettes-are-in-vogue-and-at-a-crossroads.html?pagewanted=1&_r=0

Background• Debate: public health benefit or harm?• Limited research evidence

Background• E-cigarette regulatory frameworks• Targets for regulation?

Research Objective1. To examine the relative importance of flavour, nicotine

content, health warnings, and price among Canadians’:a) Perceptions of product tasteb) Perceptions of product harmc) Perceptions of product efficacy in smoking

cessation

2. To examine the extent to which outcomes a-d are moderated by smoking status, gender, and age.

MethodsStudy Design & Protocol

• Online survey + discrete choice experiment• November 2013

• 1,188 Canadians, aged 16+

MethodsDiscrete Choice Experiment

• Random utility theory

• Tested 4 product attributes

MethodsProduct Attributes Product Attribute LevelsFlavour Tobacco

Menthol

Coffee

Cherry

MethodsProduct Attributes Product Attribute LevelsNicotine content None (0 mg)

Low (6-8 mg)

Medium (10-12 mg)

High (16 mg)

MethodsProduct AttributesProduct Attribute LevelsHealth warning None

“Health Canada has not approved this product for quitting smoking.” [HC]

“This product is intended for use by existing smokers. It contains nicotine which is a highly addictive substance.” [EC1]

“This product is intended for use by existing smokers aged 18 or over as an alternative to tobacco cigarettes. It contains nicotine which is a highly addictive substance. Consult your doctor if you are pregnant, breast feeding, allergic to nicotine or propylene glycol, or have high blood pressure.” [EC2]

MethodsProduct Attributes Product Attribute LevelsPrice Low ($ 7.99)

High ($ 9.99)

MethodsProduct AttributesProduct Attribute LevelsFlavour Tobacco

MentholCoffeeCherry

Nicotine content NoneLowMediumHigh

Health warning NoneHCEC1EC2

Price Low ($ 7.99)High ($ 9.99)

MethodsProduct AttributesProduct Attribute LevelsFlavour Tobacco

MentholCoffeeCherry

Nicotine content NoneLowMediumHigh

Health warning NoneHCEC1EC2

Price Low ($ 7.99)High ($ 9.99) $ 9.99

MethodsDiscrete Choice Experiment – Design

Fractional factorial main effects design• 16 pack profiles

• Arranged into 20 choice sets

• Each set containing 4 pack profiles + “none”

Source: Kuhfeld, W. (2010). Marketing research methods in SAS.

MethodsChoice Set #1

$ 9.99 $ 7.99 $ 7.99 $ 7.99

None of the above

MethodsWhich one of these products do you think would taste better?

$ 9.99 $ 7.99 $ 7.99 $ 7.99

None of the above

MethodsWhich one of these products do you think would be less harmful?

$ 9.99 $ 7.99 $ 7.99 $ 7.99

None of the above

MethodsWhich one of these products do you think would help someone quit smoking?

$ 9.99 $ 7.99 $ 7.99 $ 7.99

None of the above

MethodsAnalyses

Multinomial logit models1. Attribute-level importance2. Attribute importance

Results

ResultsSample Characteristics (n = 1,188)

Characteristic % (n)

Age (years)

Mean (SD) 32.8 (SD = 16.0)

Gender

Male 42.4% (504)

Female 57.6% (684)

Perceptions of product tasteAttribute-Level Importance

Parameter Estimate SignificanceFlavour

Tobacco - 0.30 p < 0.0001Menthol - 0.16 p < 0.0001

Coffee 0.02 p = 0.1546Cherry 0.44 p < 0.0001

Nicotine content

None - 0.02 p = 0.2249Low 0.10 p < 0.0001

Medium - 0.02 p < 0.0001High - 0.07 p < 0.0001

Health warning

None 0.13 p < 0.0001HC - 0.24 p < 0.0001

EC1 - 0.05 p = 0.0010EC2 0.16 p < 0.0001

Price

Low 0.11 p < 0.0001High - 0.11 p < 0.0001

Perceptions of product tasteAttribute-Level Importance

E-cigarettes with the following characteristics were perceived as better-tasting:

• Cherry flavour (p < 0.0001);

• Low nicotine (p < 0.0001);

• No health warning (p < 0.0001) and the EC2 health warning (p < 0.0001);

• Lower price (p < 0.0001)

Perceptions of product tasteAttribute Importance

Parameter Estimate Utility Range Relative ImportanceFlavour

Tobacco - 0.30 0.74 48%Menthol - 0.16

Coffee 0.02 Cherry 0.44

Nicotine content

None - 0.02 0.17 11%Low 0.10

Medium - 0.02 High - 0.07

Health warning

None 0.13 0.40 26%HC - 0.24

EC1 - 0.05 EC2 0.16

Price

Low 0.11 0.22 15%High - 0.11

Perceptions of product tasteAttribute Importance

Parameter Estimate Utility Range Relative ImportanceFlavour

Tobacco - 0.30 0.74

48%

Menthol - 0.16Coffee 0.02Cherry 0.44

Nicotine content

None - 0.02 0.17

11%

Low 0.10Medium - 0.02

High - 0.07

Health warning None 0.13 0.40

26%

HC - 0.24EC1 - 0.05EC2 0.16

Price

Low 0.11 0.22

15% High - 0.11

Perceptions of product tasteAttribute Importance

26%

48%

15%11%

Health warning FlavourPrice Nicotine content

Perceptions of product harmAttribute-Level Importance

E-cigarettes with the following characteristics were perceived as less harmful:

• Menthol (p < 0.0001) and coffee (p < 0.0001) flavours;

• Low nicotine (p < 0.0001);

• No health warning (p < 0.0001) and the EC2 health warning (p < 0.0001);

• Lower price (p < 0.0001)

Perceptions of product harmAttribute Importance

35% 36%

14% 15%

Health warning FlavourPrice Nicotine content

Perceptions of product quit efficacyAttribute-Level Importance

E-cigarettes with the following characteristics were believed to help someone quit smoking:

• Menthol (p < 0.0001) and coffee (p < 0.0001) flavours;

• Low nicotine (p < 0.0001);

• No health warning (p < 0.0001) and the EC2 health warning (p < 0.0001);

• Lower price (p < 0.0001)

Perceptions of product quit efficacyAttribute Importance

39%

26% 25%

10%

Health warning FlavourPrice Nicotine content

Summary• Health warnings were the most influential drivers of

participants’ perceptions of product quit efficacy

• Flavour was the strongest predictor of perceptions of taste

• Flavour and health warnings significantly predicted perceptions of product harm

Strengths & LimitationsStrengths• DCE design

Limitations• Design did not include all attribute-level combinations• Testing of a subset of attributes• Use of a non-probability-based sample

ImplicationsRegulatory Framework for E-cigarettes• Potential targets for regulation• Flavour and health warnings

AcknowledgementsResearch Team• David Hammond, Maciej Goniewicz, Towhidul Islam,

Kathy Kotnowski

Funding Sources

Thank you

Christine D Czoli, PhD Student

School of Public Health & Health Systemscczoli@uwaterloo.ca

Perceptions of product tastePack Utility

Parameter EstimateFlavour

Tobacco - 0.30Menthol - 0.16

Coffee 0.02Cherry 0.44

Nicotine content

None - 0.02Low 0.10

Medium - 0.02High - 0.07

Health warning

None 0.13HC - 0.24

EC1 - 0.05EC2 0.16

Price

Low 0.11High - 0.11

Which one of these products do you think would taste better?

$ 9.99

Utility = 0.38

Perceptions of product tastePack Utility

Perceptions of product tastePack Utility

Perceptions of product tastePack Utility

Perceptions of product harmPack Utility

Perceptions of product harmPack Utility

Perceptions of product harmPack Utility

Perceptions of product quit efficacyPack Utility

Perceptions of product quit efficacyPack Utility

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