Seasonal Influenza Vaccination Coverage Survey, 2017-2018

Submitted to
Public Health Agency of Canada
POR-ROP@hc-sc.gc.ca

Prepared by
Léger

Ce rapport est aussi disponible en français.
Contract number 6D034-173872/001/CY
POR #059-17
HCPOR 17-18
Awarded 2017-12-13

Project 15181-004
2018-04-02

Léger
507 Place d’Armes, Suite 700
Montréal, Québec
G1R 2K2
Phone: 514-982-2464
Fax: 514-987-1960

Table of contents

1. Executive Summary

Leger is pleased to present the Public Health Agency of Canada (PHAC) with this report on findings from a quantitative survey aimed to evaluate seasonal influenza vaccination coverage within the Canadian population.
This report was prepared by Leger who was contracted by PHAC (contract number 6D034-173872/001/CY awarded December 13, 2017 - HCPOR 17-18).

1.1 Background and Objectives

The main objective of the study is to evaluate seasonal influenza vaccination coverage within the Canadian population. The following topics are covered among Canadian households participating in the survey.

This year, a special attention has been paid to parents of children 0 to 5 years old, in order to understand their reasons to vaccinate or not their children.

1.2 How the Results Will be Used

The results of the survey allow PHAC and the Government of Canada for the monitoring and evaluation of vaccination programs across different influenza seasons. It also allows identifying factors influencing influenza vaccine uptake and sub-populations with low influenza vaccine coverage. That information is important in developing targeted programs or strategies for improving vaccine coverage in un- and under-vaccinated populations.

1.3 Methodology - Quantitative Research

The quantitative research was conducted by telephone, using Computer Assisted Telephone Interviewing (CATI) technology.

Fieldwork for the survey was conducted from January 5 to February 22, 2018. The national response rate for the survey was 20.2%. Complete call dispositions are presented in Appendix A. A pre-test of 45 interviews, in both official languages, was completed between January 5, 2018, and January 8, 2018. More specifically, 18 interviews were conducted in French and 27 were conducted in English. Survey interviews lasted 9 minutes on average.

To achieve data reliability in all subgroups, a total sample of 2,857 adult Canadians were surveyed, in all regions of the country. Only one adult respondent was surveyed within each household. The national margin of error for the survey is +/- 1.83%, 19 times out of 20. Of this number, there are 1,000 parents of children from 0 to 5 years old. The margin of error for this sample of the survey is +/- 3.09%, 19 times out of 20.

It was deemed important to oversample parents of children aged of 0 to 5 years old in the survey because a simple random sample of all Canadians parents of young children would not have produced a sample large enough to allow accurate analysis of this subgroup of the population. Based on the previous edition of this survey, our evaluation was that we were to find about 200 parents of children under 5 in the random sample of the general population. Then we had oversampled that subgroup of the population of another 800 to reach the target of 1,000 parents of children under 5 fixed by PHAC. The additional sample was thus a means to maximize the proportion of parents who took part in the survey.

Based on data from Statistics Canada’s 2016 national census, Leger weighted the results of this survey by age, sex, region, language (mother tongue) and education level. Results were also weighted based on the presence of minor children in the household (yes or no), since this question was asked and is important for this study. Moreover, the weight of respondents reached via the cell-only sample was also controlled to match 27.5% after weighting which corresponds to the latest evaluation of the percentage of wireless households in Canada made by the CRTC.

As a Certified Gold-Seal MRIA Member, Leger adheres to the most stringent guidelines for quantitative research. The survey has been registered with the MRIA in accordance with Government of Canada requirements for quantitative research, including the MRIA Code of Conduct and Standards of the Conduct of Government of Canada Public Opinion Research – Series B –Fieldwork and Data Tabulation for Telephone Surveys.

The details of the methodology procedure, information on Leger’s quality control mechanisms, the French and English questionnaires and details regarding the weighting procedures are presented in the Appendix.

1.4 Notes on Interpretation of Research Findings

The views and observations expressed in this document do not reflect those of the Public Health Agency of Canada. This report was compiled by Leger based on the research conducted specifically for this project. This research is probabilistic; the results can be inferred to the general population of Canada. The design of the research was built with this objective in mind.

1.5 Political Neutrality Statement and Contact Information

I hereby certify as Senior Officer of Leger that the deliverables fully comply with the Government of Canada political neutrality requirements outlined in the Policy on Communications and Federal Identity and the Directive on the Management of Communications- Appendix C (Appendix C: Mandatory Procedures for Public Opinion Research).
Specifically, the deliverables do not include information on electoral voting intentions, political party preferences, standings with the electorate, or ratings of the performance of a political party or its leaders.

Signed:

Christian Bourque
Executive Vice-President and Associate
Leger
507 Place d’Armes, bur 700
Montréal, Québec
H2Y 2W8
cbourque@leger360.com

Additional information
Supplier name: Leger
PWGSC Contract Number: 6D034-173872/001/CY
Contract Award Date: December 13th, 2017

The expenditure for this project is $110,231.50 (including HST).
To obtain more information on this study, please email POR-ROP@hc-sc.gc.ca

Appendix A – Detailed Research Methodology

A.1 Quantitative Methodology

A.1.1 Methods

For tracking and comparability purposes, the methodology used for this survey was the same from previous survey waves. Leger has been using the same methods that were used in the 2016-17 survey with respect to the sampling methodology, data collection methods and the questionnaire (most of the items in the questionnaire remained the same).

The quantitative research was conducted by telephone, using Computer Assisted Telephone Interviewing (CATI) technology. This approach is the most appropriate to assess seasonal influenza vaccination coverage among different subgroups of the Canadian population while ensuring a high level of representativeness.

As a Certified Gold-Seal MRIA Member, Leger adheres to the most stringent guidelines for quantitative research. The survey has been registered with the MRIA in accordance with Government of Canada requirements for quantitative research, including the MRIA Code of Conduct and Standards of the Conduct of Government of Canada Public Opinion Research – Series B –Fieldwork and Data Tabulation for Telephone Surveys.

Respondents were assured of the voluntary and confidentiality aspect of the approach and of the anonymity of their responses. As with all research conducted by Léger, all information that could allow for the identification of participants was removed from the data, in accordance with the Privacy Act of Canada.

All interviews for this research were conducted out of our Montreal call centre. This call centre is divided into three distinct divisions: One consisting of English only interviewers, one of French only interviewers and one of bilingual interviewers. This ensures that all telephone surveys can easily be conducted in either official language.

A.1.2 Data Collection

Fieldwork for the survey was conducted from January 5 to February 22, 2018. The national response rate for the survey was 20.2%. Complete call dispositions are presented in Table 2. A pre-test of 45 interviews, in both official languages, was completed between January 5, 2018, and January 8, 2018. More specifically, 18 interviews were conducted in French and 27 were conducted in English. Survey interviews lasted 9 minutes on average.

To achieve data reliability in all subgroups, a total sample of 2,857 adult Canadians were surveyed, in all regions of the country. Only one adult respondent was surveyed within each household. The national margin of error for the survey is +/- 1.83%, 19 times out of 20. Of this number, there are 1,000 parents of children from 0 to 5 years old. The margin of error for this sample of the survey is +/- 3.09%, 19 times out of 20.

A representative sample of about 2,000 adult Canadians and an oversample of about 800 Parents of Children Under 5

A. A sample of 2,000 Canadians

A sample of about 2,000 adult Canadians was drawn using a stratified regional sampling approach. Soft regional quotas were applied to ensure that a sufficient number of interviews were completed within each region of Canada. Based on our previous experience with this study, Leger knew that for a random sample of 2,000 Canadian adults, data for about 200 parents of children under 5 years of age would be collected.

The following table shows the regional quotas for the 2,000 adult Canadians:

Table 1. Soft Regional Quotas
Region Number of Completed Interviews
Atlantic 140-180
Quebec 460-520
Ontario 560-760
Manitoba/Saskatchewan 140-180 (10 interviews in Nunavut)
Alberta 220-260 (10 interviews in NWT)
British Columbia 260-300 (10 interviews in the Yukon)
Total 2,000

B. An oversample of Parents of Children under 5

In order to reach the quota of 1,000 parents of children under 5, an oversample of about 800 parents of children under 5 was needed in addition to the 200 collected naturally from the sample of 2,000 adult Canadians. Since children under 5 are one of the most at-risk groups when it comes to influenza-related complications, PHAC wanted to get a better picture of the coverage for children under 5 by having an oversample of this group, which allowed for more reliable and accurate results. The additional sample was thus a means to maximize the proportion of parents of children under 5 years of age who took part in the survey.

A.1.3 Sampling Procedures

Landline phone numbers were generated and cell-only numbers were purchased1 according to a stratified regional sampling approach. Telephone interviewing was conducted using Leger’s Computer-Assisted Telephone Interviewing (CATI) technology. Leger’s CATI system handles sampling electronically, randomly selecting and dialing the phone number to call. To ensure perfect coverage of a population, the sample consisted of residential phone numbers located in all Canadian provinces and territories, as well as cell phone numbers of Canadians who do not have a residential landline phone number (i.e. pre-validated cell-only numbers). Soft quotas were applied to ensure that a sufficient number of interviews within each region of Canada. In addition to these regional quotas, fieldwork was conducted to ensure a good distribution of respondents in terms of sex (men and women) and language (English and French-speaking Canadians), using soft quotas.

1 Leger purchases its samples from ASDE Survey Sampler a renowned and trusted furnisher for more than 15 years.

Pan-Canadian Sample Landline

We have constructed a pan-Canadian sample of telephone numbers. All numbers were randomly drawn to generate this core sample. Each telephone number for this sampling frame was associated with a Canadian province. Subsequently, we used this pan-Canadian sample to randomly draw numbers by province/region in proportion to the provincial/regional quotas that were expected for the project.

Sample pan-Canadian cell-phone only sample

For the "cell-phone-only" portion of the sample, the sample was randomly drawn for each of the provinces/regions according to the provincial/regional quotas set. Based on the Communications Monitoring Report 2016 published by the CRTC in 2016, which revealed that 27.5% of Canadian households were using a cell phone exclusively, Leger made sure that 27.5% of the final sample was derived from cell-only numbers.

Of the 2,857 interviews done for this project, 766 were done with respondents from a cell-phone-only household. This represents 26,8% of the final sample and is very close to the CRTC estimate of 27,5% of wireless Canadian households. The statistical weighting will correct the little discrepancy between the sample and the actual proportion in the population.

A.1.4 Maximizing the response rate

Low response rate threatens a survey’s reliability and validity. Through Leger’s experience surveying various populations, we have established the following methods to maximize response rates:

A.1.5 Call Dispositions

The overall response rate for this study is 20.2%. The response rate is calculated using the following formula: (Completed interviews + Out of Sample) / (Total sample - Invalid sample). This is the Market Research and Intelligence Association’s standard calculation method for the response rate of a telephone survey. The table below presents the calculation details.

Table 2. Call Disposition and Response Rate
TOTAL SAMPLE 47018
Invalid sample 8901
No service 8510
Non-residential 156
Fax / Modem / Pager 220
Duplicate 15
Numbers outside of sample 4829
Language Barrier 394
Unqualified (deaf-mute, etc.) 883
Quota attained 3552
EFFECTIVE SAMPLE 33289
Non-completed interviews 30432
Refusal 12423
No answer 7393
Answering machine 8868
Line busy 565
Incomplete 297
Appointment 886
COMPLETED INTERVIEWS 2,857
Response rate 20.2 %

A.1.6 Non-Response Bias and Additional Socio-Demographic Analysis

An effective response rate of 20.2% is average for a national telephone survey of 2,857 respondents conducted in about three weeks, matching typical rates for similar studies. Even if may seem to be a low participation rate, 20,2 % is a normal participation rate for a national telephone survey. Phone surveys' participation rate rarely goes higher than 25% for a national survey with the general public.

This response rate minimizes the risks of an important non-response bias in the survey as it decreases the likelihood of an unrepresentative sample.

Weighting

Based on data from Statistics Canada’s 2016 national census, Leger weighted the results of this survey by age, sex, region, language (mother tongue), and education level. Results were also weighted based on the presence of minor children in the household (yes or no), since this question was asked and is important for this study. Moreover, the weight of respondents reached via the cell-only sample was also controlled to match the expected 27.5% after weighting.

Nevertheless, a basic comparison of the unweighted and weighted sample sizes was conducted to identify potential non-response bias that could be introduced by lower response rates among specific demographic subgroups (see tables below in the next section). As is typically the case for a telephone survey mainly targeting homes with a fixed telephone line, younger individuals are more difficult to reach. To compensate for this fact, Leger conducted over 500 interviews who are wireless-only households (reached on their cellular phone). Using this procedure, we see that our unweighted sample closely matches the weighted numbers, devised using Statistics Canada updated data.

A.1.7 Weighted and Unweighted Samples

The table below presents the geographic distribution of respondents, before and after weighting. There were almost no imbalances in geographical distribution in the unweighted sample. The weighting process has mainly adjusted the weight of Ontario which had been slightly under-represented in the sample in order to allow more respondents in small provinces and territories.

Table 3. Unweighted and Weighted Sample Distribution by Province
Province / Territory Weighted Unweighted
Newfoundland and Labrador 43 44
Prince-Edward-Island 12 10
Nova Scotia 77 108
New Brunswick 63 63
Quebec 670 709
Ontario 1,097 936
Manitoba 101 118
Saskatchewan 86 127
Alberta 321 360
British Columbia 366 354
Nunavut 5 7
Northwest Territories 7 11
Yukon 10 10

The following tables present the demographic distribution of respondents, according to sex, age, language (mother tongue), education and household income.

First, regarding sex, we can see that weighting has adjusted the proportion of female respondents vs. male respondents, women always being slightly overrepresented in telephone surveys.

Table 4. Unweighted and Weighted Sample Distribution by Sex
SEX Unweighted Weighted
Male 1,114 1,384
Female 1,713 1,473

Regarding age distribution, the unweighted sample greatly exceeded the expectations of the Public Health Agency of Canada, requiring at least 50% of the sample to be 18 to 64 years of age. In fact, 74% of our unweighted sample was under 65 years of age, and 57% of the unweighted sample was under 55 years of age.

Table 5. Unweighted and Weighted Sample Distribution by Age Group
AGE Unweighted Weighted
Between 18 and 24 120 246
Between 25 and 34 520 534
Between 35 and 44 526 462
Between 45 and 54 338 512
Between 55 and 64 450 499
Between 65 and 74 431 370
75 or older 268 234

Minor imbalances on language distribution were corrected with weighting, as presented below.

Table 6. Unweighted and Weighted Sample Distribution by First Language
LANGUAGE (MOTHER TONGUE) Unweighted Weighted
French 729 594
English 1,642 1,751
Other 473 501
Refusal 13 10

The table below presents the distribution of respondents according to the presence of children under 5 years old in the household, before and after weighting. Since we wanted to reach a greater number of parents than in a normally distributed sample, a quota of 1 000 parents of children under 5 years old was fixed. It should be noted that a normally distributed sample would include about 11.5% household with children aged between 0 and 5 years old and would not allow to properly analyze data for this highly important group. Therefore, there is a major imbalance in distribution in the unweighted sample. However, the weighting of the sample has adjusted the proportion of both targets.

Table 7. Unweighted and Weighted Sample Distribution by Presence of Children Under 5 Years of Age in the Household
PRESENCE OF CHILDREN UNDER 5 YEARS OF AGE IN THE H.H. Unweighted Weighted
1 706 181
2 262 67
3 26 7
4 5 1
5 1 0
TOTAL Yes 1,000 256
None 1,851 2,600
Refusal 6 1

The last tables present distribution based on education and household income, although those variables were not included in the weighting procedures.

Table 8. Unweighted and Weighted Sample Distribution by Education Level
EDUCATION Unweighted Weighted
Grade 8 or less 71 67
Some high school 195 186
High School diploma or equivalent 604 683
Registered Apprenticeship or other trades certificate or diploma 106 109
College, CEGEP or other non-university certificate or diploma 724 720
University certificate or diploma below bachelor’s level 199 195
Bachelor’s degree 582 548
Post graduate degree above bachelor’s level 329 306
Refusal 47 44
Table 9. Unweighted and Weighted Sample Distribution by Household Income
HOUSEHOLD INCOME Unweighted Weighted
$19,999 or less 202 237
between $20,000 and $39,999 411 431
between $40,000 and $59,999 382 398
between $60,000 and $79,999 349 355
between $80,000 and $99,999 332 312
between $100,000 to $149,999 422 387
$150,000 and above 323 301
Refusal 367 436

However, there is no evidence from the data that having achieved a different age or sex distribution prior to weighting would have significantly changed the results for this study. The relatively small sizes of weights and of the differences in responses between various subgroups suggest that data quality was not affected. The weight that was applied corrected the initial imbalance for data analysis purposes and no further manipulations were necessary.

As with all research conducted by Leger, contact information was kept entirely confidential and all information that could allow for the identification of participants was removed from the data, in accordance with the Privacy Act of Canada.

A.1.8 Back-coding of “Other specify”

For semi-open ended questions, that is the ones with an "other specify" answer choice, back-coding might occur after the completion of data collection. Back coding consists of the action of our coding specialists to reassign a verbatim into an existing code/category. When a verbatim is reassigned into a pre-existing code/category, it is taken out of the 96 code "other specify" and it no longer count in the code 96.

At some point, back-coding might create some discrepancies between the number of respondents expected to certain questions and the real number of respondents to those questions. If a programming pattern were in place so that respondents answering a specific category have to answer a subsequent question, then respondent that are back-coded after the data collection into that category will not have answered the following question.

In this survey, back coding affected the expected number of respondents at QY “When you say “I don’t need [the flu shot] / it isn’t necessary”, is it because:” and QX “When you say “When I get the flu shot, I get sick”, do you mean:” that were programmed for specific answers given at Q3. “What are the reasons why you did not receive the flu vaccine this time?”. The same occurred at QW. “When you say “(S)he doesn’t need the flu shot / it’s not necessary”, is it because:” and QV. “When you say “When (s)he gets the flu shot, (s)he gets sick”, do you mean:” that were programmed for specific answers given at Q15A “What is(are) the reason(s) your ***<Child - AGE >***-old child did not receive the flu vaccine this year?”.

Table 10. Back-coding Impact on the Number of Respondents at QY and QX
Question Number of expected respondents based on Q3 The actual number of respondents Difference du to back coding
QY. When you say “I don’t need [the flu shot] / it isn’t necessary”, is it because:” 363 265 98
QX. When you say “When I get the flu shot, I get sick”, do you mean: 124 90 34
Table 11. Back-coding Impact on the Number of Respondents at QW and QV
Question Number of expected respondents based on Q15A The actual number of respondents Difference du to back coding
QW. When you say “(S)he doesn’t need the flu shot / it’s not necessary”, is it because: 118 67 51
QV. When you say “When (s)he gets the flu shot, (s)he gets sick”, do you mean: 12 11 1

A.1.9 Weighting Factors

Some subgroups are sometimes under or overrepresented in a sample compared to the general population. The weighting of a sample makes it possible to correct the differences that exist in the representation of the various subgroups of this sample compared to what is usually observed in the entire population under study. The weighting factors are therefore the weight given to each respondent corresponding to a subgroup of the sample.

The following tables present the weight accorded to each target of the sample.

Table 12. Weight by Sex and Age
SEX and AGE Weight
A man AND 18-34 years of age 0,1371
A man AND 35-44 years of age 0,0791
A man AND 45-54 years of age 0,0881
A man AND 55-64 years of age 0,0854
A man AND 65 years of age or older 0,0959
A woman AND 18-34 years of age 0,1358
A woman AND 35-44 years of age 0,0826
A woman AND 45-54 years of age 0,0912
A woman AND 55-64 years of age 0,0894
A woman AND 65 years of age or older 0,1154
Total 1,000
Table 13. Weight by Sex and Region
SEX and REGION Weight
A man AND NF/PE 0,0195
A man AND NS 0,0129
A man AND NB 0,0106
A man AND QC 0,1143
A man AND ON 0,1848
A man AND MB 0,0172
A man AND SK 0,0148
A man AND AB 0,0559
A man AND BC 0,0658
A woman AND NS 0,0141
A woman AND NB 0,0113
A woman AND QC 0,1203
A woman AND ON 0,199
A woman AND MB 0,018
A woman AND SK 0,0153
A woman AND AB 0,0563
A woman AND BC 0,0699
Total 1,000
Table 14. Weight by Region and Language
REGION and LANGUAGE Weight
QC ET French 0,1809
QC ET English 0,0537
ATLANTIC,ON-BC,North ET French 0,0271
ATLANTIC,ON-BC,North ET English 0,7383
Total 1,000
Table 15. Weight by Education Level
EDUCATION Weight
Elementary/High School 0,343
College 0,29
University 0,367
Total 1,000
Table 16. Weight by Presence of Kids in the Household
KIDS Weight
Yes 0,09
No 0,91
Total 1,000
Table 17. Cell-phone only Households
CELL PHONE ONLY HOUSEHOLD Weight
Yes 0,275
No 0,725
Total 1,000

PHAC wanted to have the possibility to look at the oversample of children as a sample of representative children under 5 in Canada. Leger produced a separate SAS file and a set of data of the 1,000 oversample of this subgroup. Since we had the information regarding the age of the child, the sex and the region, we were able to weight the 1,000 respondents to match the actual distribution of children under 5 in Canada.

The following table present the weight factor according to each target of the sample.

Table 18. Weight by Children and Region
Children and REGION Weight
ATLANTIC AND Under 1 year old - (1 to 11 months old) 0,0106
ATLANTIC AND 1 to under 2 year old – (12 to 23 months old) 0,0109
ATLANTIC AND 2 to under 3 year old – ( 24 to 35 months old) 0,0111
ATLANTIC AND 3 to under 4 year old – (36 to 47 months old) 0,0112
ATLANTIC AND 4 to under 5 year old – (47 to 59 months old),Refusal 0,0118
QC AND Under 1 year old - (1 to 11 months old) 0,0452
QC AND 1 to under 2 year old – (12 to 23 months old) 0,0456
QC AND 2 to under 3 year old – ( 24 to 35 months old) 0,047
QC AND 3 to under 4 year old – (36 to 47 months old) 0,048
QC AND 4 to under 5 year old – (47 to 59 months old),Refusal 0,0486
ON AND Under 1 year old - (1 to 11 months old) 0,071
ON AND 1 to under 2 year old – (12 to 23 months old) 0,0717
ON AND 2 to under 3 year old – ( 24 to 35 months old) 0,0732
ON AND 3 to under 4 year old – (36 to 47 months old) 0,0749
ON AND 4 to under 5 year old – (47 to 59 months old),Refusal 0,0766
MB/SK AND Under 1 year old - (1 to 11 months old) 0,0161
MB/SK AND 1 to under 2 year old – (12 to 23 months old) 0,0161
MB/SK AND 2 to under 3 year old – ( 24 to 35 months old) 0,0163
MB/SK AND 3 to under 4 year old – (36 to 47 months old) 0,0164
MB/SK AND 4 to under 5 year old – (47 to 59 months old),Refusal 0,0162
AB AND Under 1 year old - (1 to 11 months old) 0,0283
AB AND 1 to under 2 year old – (12 to 23 months old) 0,028
AB AND 2 to under 3 year old – ( 24 to 35 months old) 0,0279
AB AND 3 to under 4 year old – (36 to 47 months old) 0,028
AB AND 4 to under 5 year old – (47 to 59 months old),Refusal 0,0282
BC AND Under 1 year old - (1 to 11 months old) 0,0226
BC AND 1 to under 2 year old – (12 to 23 months old) 0,0228
BC AND 2 to under 3 year old – ( 24 to 35 months old) 0,0231
BC AND 3 to under 4 year old – (36 to 47 months old) 0,0238
BC AND 4 to under 5 year old – (47 to 59 months old),Refusal 0,0239
North AND Under 1 year old - (1 to 11 months old) 0,0009
North AND 1 to under 2 year old – (12 to 23 months old) 0,001
North AND 2 to under 3 year old – ( 24 to 35 months old) 0,001
North AND 3 to under 4 year old – (36 to 47 months old) 0,001
North AND 4 to under 5 year old – (47 to 59 months old),Refusal 0,001
Total 1
Table 19. Weight by Region and Sex
Children and REGION Weight
ATLANTIC AND Boy 0,0284
ATLANTIC AND Girl 0,0273
QC AND Boy 0,12
QC AND Girl 0,1143
ON AND Boy 0,1881
ON AND Girl 0,1791
MB/SK AND Boy 0,0416
MB/SK AND Girl 0,0396
AB AND Boy 0,0719
AB AND Girl 0,0685
BC AND Boy 0,0597
BC AND Girl 0,0565
North AND Boy 0,0026
North AND Girl 0,0024
Total 1

Appendix B – Survey Questionnaire

INFLUENZA COVERAGE INSTRUCTION 2017/2018

GENERAL PROGRAMMING INSTRUCTIONS :

[TYPE OF PROJECT : Tel]
[LANGUAGES : FR/EN]
[TRACKING : No]

NOTE TO READER : Text in green and in gray indicate programming instructions.

LEGEND FOR ATTRIBUTE COLUMN
X= Exclusive choice
F= Fixed Choice (not part of the rotation or permutation)
O= Open-ended

Quota #1

Sample – general population
Sampler - Canada; 1,800
Cell-phone only; min of 200
Total; 2,000

Quota #2

Regional distribution – general population
Atlantic; 140-180
Quebec; 460-520
Ontario; 560-760
Manitoba/Saskatchewan; 140-180 (10 interviews in Nunavut)
Alberta; 220-260 (10 interviews in NWT)
British Columbia; 260-300 (10 interviews in the Yukon)
Total; 2,000

Over sample

Oversample of parents of child under 5

Sample – Parents of children under 5
Number falling naturally in the sample of 2,000 Canadians (rep); About 200
Oversample needed to reach 1,000; About 800
Final sample of 1,000 parents of children 6 to 59 months of age; min of 1,000

Section info

Page info
[ASK ALL]
QINF#

Good morning (afternoon, evening), my name is XX and I'm calling from LEGER research.
We are currently conducting a study on flu vaccine. This survey is led by the Public Health Agency of Canada. Your answers will help improve services that impact Canadians like you. We would therefore greatly appreciate your cooperation.

Your participation is voluntary and completely confidential. Your answers will remain anonymous and cannot affect in any way your dealings with the government of Canada.
Can I ask you a few questions? It will take no more than 10 minutes.

IF ASKED: Your opinion counts. Leger research is a renowned company throughout Canada. Today's study is about a topic related to public health in Canada. There are no wrong answers. When may I contact you again? When would be a good time to contact you? Whom should I ask to speak with when I call back? Is there another person in your household with whom we could talk?

NOTE: If a respondent requests to speak with a study leader at Health Canada, please take his / her name and phone number and mention that a supervisor will call back to establish the link with Health Canada.

Contact:
Jared Cohen
Health Canada / Government of Canada
Phone number: 613-608-4123

Note to the interviewer: If a respondent asks you about the legitimacy of this project or if the respondent wants to make a complaint or a comment about this project, you must invite him/her to visit the MRIA Website: www.surveyverification.ca (English) or www.verificationsondage.ca (French), and you must give him the MRIA Project Registration Number: 20171229-641F

Section info
[ASK ALL]
QSCTDEMO1

To begin, I have a few questions about you.

Simple mention question
[ASK IF ECHA=CELL]
[ONE MENTION]
QFLT1

Do you currently have a residential land-line telephone service at home?
INTERVIEWER INSTRUCTIONS: (DO NOT READ LIST. ONLY ONE MENTION)

Yes; 1; RECODE LANDLINE
No; 0 
(DO NOT READ) Valid skip / Not applicable; 7 
(DO NOT READ) Don’t know; 8
(DO NOT READ) Refusal; 9; TERMINATE

Numeric question
[ASK ALL]
[NUMERIC: Min=18, Max=150]
[DECIMAL: 0]
[NOTES TO PROGRAMMER: Under 18 = terminate]
[VALIDATION: AGE]
AGE
How old were you as of September 1, 2017?
Enter number; XXX
(DO NOT READ) Refusal; 999

CALUCALUTION AGEX
[NOTES TO PROGRAMMER: CALCULATION FROM AGE]
[VALIDATION:]
AGEX
Under 18; 0 TERMINATE
Between 18 and 24; 1
Between 25 and 34; 2
Between 35 and 44; 3
Between 45 and 54; 4
Between 55 and 64; 5
Between 65 and 74; 6
75 or older; 7
Refusal; 9 TERMINATE

One mention question
[ASK ALL]
[ONE MENTION]
LANGU
What is the language you first learned at home in your childhood and that you still understand?
INTERVIEWER INSTRUCTIONS: (READ LIST. ONLY ONE MENTION)
French; 1
English; 2
Other; specify; 6
(DO NOT READ) Valid skip/ Not applicable; 7
(DO NOT READ) Don’t know; 8
(DO NOT READ) Refusal; 9

Simple mention question
[ASK ALL]
[ONE MENTION]
SEXE
Enter respondent's sex – DO NOT READ.
INTERVIEWER INSTRUCTIONS: (DO NOT READ LIST. ONLY ONE MENTION)
Male; 1
Female; 2
(DO NOT READ) Valid skip/ Not applicable; 7
(DO NOT READ) Don’t know; 8
(DO NOT READ) Refusal; 9

Simple mention question
[ASK ALL]
[SIMPLE MENTION]
Q1
Before September 1st, 2017, had you ever received the seasonal flu vaccine (also known as the flu shot)?
Note: The flu vaccine can be received by a shot (needle) or nasal spray.
INTERVIEWER INSTRUCTIONS: (DO NOT READ LIST. ONLY ONE MENTION)
Yes; 1
No; 0
(DO NOT READ) Valid skip/ Not applicable; 7
(DO NOT READ) Don’t know; 8
(DO NOT READ) Refusal; 9

Simple mention question
[ASK ALL]
[SIMPLE MENTION]
Q2
From September 1st 2017 to now, have you received the seasonal flu vaccine (also known as the flu shot)?
Note: The flu vaccine can be received by a shot (needle) or nasal spray.
INTERVIEWER INSTRUCTIONS: (DO NOT READ LIST. ONLY ONE MENTION)
Yes; 1
No; 0
(DO NOT READ) Valid skip/ Not applicable; 7
(DO NOT READ) Don’t know; 8
(DO NOT READ) Refusal; 9

Simple mention question
[ASK IF Q2=0]
[SIMPLE MENTION]
QZ
How likely are you to receive the seasonal flu vaccine between now and June 2018? Would you say you:
INTERVIEWER INSTRUCTIONS: (READ LIST. ONLY ONE MENTION)
Will definitely get one; 1
Will probably get one; 2
Will probably not get one; 3
Will definitely not get one; 4
(DO NOT READ) Valid skip/ Not applicable; 7
(DO NOT READ) Don’t know; 8
(DO NOT READ) Refusal; 9

Multiple question - open
[ASK IF Q2=0]
[MULTIPLE MENTIONS: Max=13]
[NOTES TO PROGRAMMER: One column per choice 0,1]
Q3
What are the reasons why you did not receive the flu vaccine this time?
INTERVIEWER INSTRUCTIONS: DO NOT READ - MULTIPLE ANSWERS ALLOWED
Please select all that apply.

I don’t need the flu shot / it isn’t necessary; 01
I never get the flu / I’m healthy ; 02
I’m not likely to get very sick from the flu; 03
I am not a person at high risk / it’s not recommended for me; 04
I do not believe the flu shot works / it’s not effective / doesn’t protect you; 05
When I get the flu shot, I get sick; 06
I did not have time; 07
I am concerned about getting the flu from the flu shot; 08
I am concerned about side effects from the flu shot (aside from getting the flu from the flu shot); 09
I couldn’t, for health or medical reasons (e.g. allergic, contraindication, sick or hospitalized); 10
I had trouble making an appointment, or getting to where flu shots are given; 11
I just didn’t / didn’t feel like it / was lazy; 12
Other; specify; 96; O 
(DO NOT READ) Valid skip/ Not applicable; 97; X 
(DO NOT READ) Don’t know; 98; X 
(DO NOT READ) Refusal; 99; X

One mention question
[ASK IF Q3-01=1]
QY
When you say “I don’t need [the flu shot] / it isn’t necessary”, is it because?:
INTERVIEWER INSTRUCTIONS: READ. ONLY ONE MENTION
You never get the flu / You are healthy; 01
You are not likely to get very sick from the flu; 02
You are not a person at high risk / it’s not recommended for you; 03
You do not believe the flu shot works / it’s not effective / doesn’t protect you; 04
Something else (other; specify); 96; O
(DO NOT READ) Valid skip/ Not applicable; 97; F
(DO NOT READ) Don’t know; 98; F
(DO NOT READ) Refusal 99; F

 

Simple mention question
[ASK IF Q3-6=1]
[ONE MENTION]
QX
When you say “When I get the flu shot, I get sick”, do you mean:
INTERVIEWER INSTRUCTIONS: READ. ONLY ONE MENTION
The flu shot gives you the flu; 01
The flu shot does not work / does not protect you from getting the flu; 02
Something else (other; specify); 96
(DO NOT READ) Valid skip/ Not applicable; 97
(DO NOT READ) Don’t know; 98
(DO NOT READ) Refusal; 99

One mention question
[ASK IF Q2=1]
[ONE MENTION]
Q4
Was the flu vaccine you received this year given by a shot (with a needle) or a spray in the nose?
INTERVIEWER INSTRUCTIONS: READ. ONLY ONE MENTION
Flu shot; 1
Nasal spray (Flumist); 2
(DO NOT READ) Valid skip/ Not applicable; 7
(DO NOT READ) Don’t know; 8
(DO NOT READ) Refusal; 9

Simple mention question
[ASK IF Q2=1]
[ONE MENTION]
[LIST Order: In order]
Q5
In which month did you receive the flu vaccine this time?
INTERVIEWER INSTRUCTIONS: READ. ONLY ONE MENTION
September 2017; 0
October 2017; 1
November 2017; 2
December 2017; 3
January 2018; 4
February 2018; 5
(DO NOT READ) Valid skip/ Not applicable; 7
(DO NOT READ) Don’t know; 8
(DO NOT READ) Refusal; 9

Multiple mentions question
[ASK if Q2=1]
[MULTIPLE MENTIONS: Max=12]
[NOTES TO PROGRAMMER: One column per response option code 0,1]
Q6
What are the reasons you decided to receive the flu vaccine this time?
INTERVIEWER INSTRUCTIONS: DO NOT READ - MULTIPLE ANSWERS ALLOWED
Please select all that apply.

I want to prevent infection / I do not want to get sick; 01
I am at risk because of my health condition; 02
I am at risk because of my age; 03
I was recommended by a health care professional; 04
I was encouraged by family members, colleagues or friends; 05
It is required in my workplace; 06
I would be required to wear a mask at work if not vaccinated; 07
It was offered / free (by employer or other); 08
If not vaccinated, I can transmit the disease to at-risk people (children, elderly or sick people/patients); 09
If not vaccinated, I can transmit the disease to family members, colleagues or friends (without mention of at-risk people); 10
I receive it every year (no specific reason); 11
Other specify: 96; O
(DO NOT READ) Valid skip/ Not applicable; 97; X
(DO NOT READ) Don’t know; 98; X
(DO NOT READ) Refusal; 99; X

Simple mention question
[ASK IF Q2=1]
Q7
Where did you receive the flu vaccine this year?
INTERVIEWER INSTRUCTIONS: (READ IF NEEDED - ONE ANSWER ALLOWED)

Temporary vaccine clinic (i.e. at the mall); 01
Doctor's office / health clinic; 02
CLSC / Community health centre; 03
Hospital; 04
Pharmacy; 05
Workplace; 06
Retirement residence / eldercare centre; 07
Other, specify; 96 FO
(DO NOT READ) Valid skip/ Not applicable; 97; F
(DO NOT READ) Don’t know; 98; F
(DO NOT READ) Refusal; 99; F

Question numérique
[ASK ALL]
[NUMERIQUE : Min=0, Max=5]
[DECIMALE : 0]
[NOTES TO Programmer: ALLOW 5 CHILDREN]
Q8
How many children under 5 years of age, of whom you are the parent or guardian, were living in your household on September 1, 2017?
INTERVIEWER INSTRUCTIONS: We do not want the respondent to provide information about children of which he or she is not the parent or guardian, such as younger siblings. If a respondent asks if they can answer for their spouse's children, the answer would be "yes, if you are aware of the vaccines they received and their state of health"; (Record number of children:

VALIDATE THAT THEY ARE LESS THAN 5 YEARS.
Number of children under 5; XXX
None; 000
(DO NOT READ) Prefer not to answer; 999
Numerical question
[ASK IF AT LEAST ONE CHILD A T Q8 – Q8>0]
[NUMERIC  YEAR: Min=1, Max=5]
[NUMERIC MONTH: Min = 1, Max=59]
[DECIMALE: 0]
[NOTE FOR PROGRAMMING: PROGRAM FOR UP TO THE NUMBER OF CHILD <5 YEARS PER HOUSEHOLD]
[ENABLE SEIZURE IN MONTH OR YEARS]
[MUST BE LESS THAN 5 YEARS OLD OR LESS THAN 60 MONTHS]
Q9
How old was your child as of September 1, 2017?
Enter child age # 1 Q9_1
Enter child age # 2 Q9_2 
Enter child age # 3 Q9_3
Enter child age # 4 Q9_4
Enter child age # 5 Q9_5;

Month(s); XXX
Year(s); XXX
(DO NOT READ) Valid skip/ Not applicable; 7
(DO NOT READ) Don’t know; 8
(DO NOT READ) Refusal; 9

CALCULATED FIELD
RECODE AGE OF EVERY CHILDREN IN YEAR FORMAT (FROM MONTH(S) TO YEAR)

YEARS; XXX
(DO NOT READ) Prefer not to answer; 999

RANDOMLY SELECT ONE CHILD
NOTE FOR PROGRAMMING: [IF AT LEAST ONE CHILD A T Q8 – Q8>0] – RANDOMLY SELECT ONE USING THIS GRID. IN THE END WE WOULD LIKE TO HAVE A GOOD DISTRIBUTION IN EVERY AGE GROUPS OF THE TABLE. BASE THE SELECTION ON ANSWER AT Q9 FOR AGE GROUP MATCHING.

Under 1 year old - (1 to 11 months old); 1
1 to under 2 year old – (12 to 23 months old); 2
2 to under 3 year old – ( 24 to 35 months old); 3
3 to under 4 year old – (36 to 47 months old); 4
4 to under 5 year old – (47 to 59 months old); 5

Simple mention question
[ASK IF AT LEAST ONE CHILD A T Q8 – Q8>0]
[SIMPLE MENTION]
Q10A
What is the sex of your (Q9_1) month(s)/year(s)-old child?
INTERVIEWER INSTRUCTIONS: READ. ONLY ONE MENTION

Male; 1
Female; 2
(DO NOT READ) Valid skip/ Not applicable; 7
(DO NOT READ) Don’t know; 8
(DO NOT READ) Refusal; 9

Simple mention question
[ASK IF AT LEAST ONE CHILD A T Q8 – Q8>0]
[SIMPLE MENTION]
Q11A
From September 1st 2017 to now, has your ***<Q9A1> <Q9A2>***-old child received the seasonal flu vaccine?

INTERVIEWER INSTRUCTIONS: (DO NOT READ LIST. ONLY ONE MENTION)
Yes; 1
No; 0
(DO NOT READ) Valid skip/ Not applicable; 7
(DO NOT READ) Don’t know; 8
(DO NOT READ) Refusal; 9

 

Simple mention question
[ASK IF Q11A= 1]
[SIMPLE MENTION]
Q12A
Was it the first time your ***<Q9A1> <Q9A2>***-old child has ever received the flu vaccine?
INTERVIEWER INSTRUCTIONS: (DO NOT READ LIST. ONLY ONE MENTION)

Yes; 1
No; 0
(DO NOT READ) Valid skip/ Not applicable; 7
(DO NOT READ) Don’t know; 8

(DO NOT READ) Refusal

Simple mention question
[ASK IFQ12A=1]
[SIMPLE MENTION]
Q13A
From September 1st 2017 to now, has your ***<Q9A1> <Q9A2>***-old child received one or two doses of the flu vaccine?
INTERVIEWER INSTRUCTIONS: (DO NOT READ LIST. ONLY ONE MENTION)

One dose; 1
Two doses; 2
(DO NOT READ) Valid skip/ Not applicable; 7
(DO NOT READ) Don’t know; 8
(DO NOT READ) Refusal; 9

Multiple mentions question
[ASK IF Q13A=1]
[MENTIONS MULTIPLES : Max=13]
[NOTES AU PROGRAMMEUR : Assurer de créer une colonne par choix de réponses code 0,1]
Q14A
Children between the ages of 6 months and 5 years who are receiving the flu vaccine for the first time are sometimes given two doses. What are the reasons why your ***<Q9A1> <Q9A2>***-old child did not receive a second vaccine?
INTERVIEWER INSTRUCTIONS: DO NOT READ - MULTIPLE ANSWERS ALLOWED

(S)he doesn’t need the second dose of flu shot / it’s not necessary; 01
(S)he never gets the flu / (s)he’s healthy; 02
(S)he is not likely to get very sick from the flu; 03
(S)he is not a person at high risk / a second dose is not recommended for them; 04
I do not believe the flu shot works / it’s not effective / doesn’t protect you; 05
When (s)he gets the flu shot, (s)he gets sick; 06
I did not have time; 07
I am concerned about him(her) getting the flu from the flu shot; 08
I am concerned about side effects from the flu shot (aside from getting the flu from the flu shot); 09
(S)he couldn’t, for health or medical reasons (e.g. allergic, contraindication, sick or hospitalized); 10
I had trouble making an appointment for him(her), or getting to where flu shots are given; 11
I just didn’t / didn’t feel like it / was lazy; 12; 13
Other; specify; 96; O
(DO NOT READ) Valid skip/ Not applicable; 97; X
(DO NOT READ) Don’t know; 98; X
(DO NOT READ) Refusal; 99; X

Multiple mentions question
[ASK IF Q11A=0]
[MULTIPLES MENTIONS: Max=13]
[NOTES TO PROGRAMMER : One column per response code 0,1]
Q15A
What is(are) the reason(s) your ***<Q9A1> <Q9A2>***-old child did not receive the flu vaccine this year?
INTERVIEWER INSTRUCTIONS: DO NOT READ - MULTIPLE ANSWERS ALLOWED

(S)he doesn’t need the flu shot / it’s not necessary; 01
(S)he never gets the flu / (s)he’s healthy; 02
(S)he is not likely to get very sick from the flu; 03
(S)he is not a person at high risk / it’s not recommended for them; 04
I do not believe the flu shot works / it’s not effective / doesn’t protect you; 05
When (s)he gets the flu shot, (s)he gets sick; 06
I did not have time; 07
I am concerned about him(her) getting the flu from the flu shot; 08
I am concerned about side effects from the flu shot (aside from getting the flu from the flu shot); 09
(S)he couldn’t, for health or medical reasons (e.g. allergic, contraindication, sick or
hospitalized); 10
I had trouble making an appointment for him(her), or getting to where flu shots are given; 11
I just didn’t / didn’t feel like it / was lazy; 12
Other; specify; 96; O
(DO NOT READ) Valid skip/ Not applicable; 97; X
(DO NOT READ) Don’t know; 98; X
(DO NOT READ) Refusal; 99; X

 

Simple mention question
[ASK IF Q15A-01=1]
[ONE MENTION]
QW
When you say “(S)he doesn’t need the flu shot / it’s not necessary”, is it because:
INTERVIEWER INSTRUCTIONS: READ. ONLY ONE MENTION
(S)he never gets the flu / (s)he’s healthy; 01
(S)he is not likely to get very sick from the flu; 02
(S)he is not a person at high risk / it’s not recommended for them; 03
I do not believe the flu shot works / it’s not effective / doesn’t protect you; 04
Something else (other; specify); 96 ;FO
(DO NOT READ) Valid skip/ Not applicable; 97; F
(DO NOT READ) Don’t know; 98; F
(DO NOT READ) Refusal; 99; F

Simple mention question
[ASK IF Q15A-06=1]
[ONE MENTION]
QV
When you say “When (s)he gets the flu shot, (s)he gets sick”, do you mean:

INTERVIEWER INSTRUCTIONS: READ. ONLY ONE MENTION
The flu shot gives him/her the flu; 01
The flu shot does not work / does not protect him/her from getting the flu; 02
Something else (other; specify); 96
(DO NOT READ) Valid skip/ Not applicable; 97
(DO NOT READ) Don’t know; 98
(DO NOT READ) Refusal; 99

Section info
HEALTH STATUS
Simple mention question
[ASK ALL]
[ONE MENTION]
QU
On a scale of one to five, with one being poor and five being excellent, how would you rate your health?
INTERVIEWER INSTRUCTIONS: READ. ONLY ONE MENTION
One (poor); 1
Two (fair); 2
Three (good); 3
Four (very good); 4
Five (excellent); 5
(DO NOT READ) Valid skip/ Not applicable; 7
(DO NOT READ) Don’t know; 8
(DO NOT READ) Refusal; 9

Multiple mentions question
[ASK ALL]
[MULTIPLE MENTIONS: Max=12]
[LIST ORDER : IN ORDER]
Q19
Are you currently suffering from or being treated for any of the following conditions? Indicate only conditions that have been diagnosed.
INTERVIEWER INSTRUCTIONS: (READ LIST - MULTIPLE ANSWERS ALLOWED)
Asthma ; 01
Another chronic lung disease such as emphysema, chronic bronchitis or cystic fibrosis; 02
A heart condition such as angina, high blood pressure, heart failure, heart attack; 03
Cancer; 04
Diabetes or other metabolic diseases; 05
Chronic liver disease; 06
Chronic kidney disease; 07
Immune disorder or immune suppression such as chemotherapy, radiation, steroid use or an organ transplant; 08
Spleen problems or removal; 09
Anemia / thalassemia/ hemoglobinpathy; 10
Morbid obesity (BMI > 40); 11
Conditions that compromises management of respiratory secretions, with increased risk of aspiration; 12
(DO NOT READ) Valid skip/ Not applicable; 97; X
(DO NOT READ) Don’t know; 98; X
(DO NOT READ) Refusal; 99; X

 

Multiple mentions question
[ASK ALL]
[MULTIPLE MENTIONS: Max=7]
[LIST ORDER: RANDOM] 1 TO 6 – Option 01 and 02 should be tied together in a block so they will always be presented one after the other.
Q19A
Since September 1 2017, have you seen any of the following health care providers?
INTERVIEWER INSTRUCTIONS: (READ LIST - MULTIPLE ANSWERS ALLOWED)
Family doctor or general practitioner; 01
Other medical doctor (e.g. surgeon, oncologist, gynecologist); 02
Nurse; 03
Pharmacist ; 04
Dentist / orthodontist; 05
Physiotherapist; 06
Other, specify; 96; OF
(DO NOT READ) Valid skip/ Not applicable; 97; XF
(DO NOT READ) Don’t know; 98; XF
(DO NOT READ) Refusal; 99; XF

Multiple mentions question
[ASK ALL]
[MULTIPLE MENTIONS: Max=7]
[LIST ORDER: RANDOM] 1 to 6
Q19B
Since September 1 2017, have you seen any of the following alternative care providers?
INTERVIEWER INSTRUCTIONS: (READ LIST. MULTIPLE ANSWERS ALLOWED)
Massage therapist; 01
Chiropractor; 02
Acupuncturist; 03
Homeopath or naturopath; 04
Reflexologist; 05
Spiritual or religious healer; 06
Other, specify; 96; OF
(DO NOT READ) Valid skip/ Not applicable 97; XF
(DO NOT READ) Don’t know; 98; XF
(DO NOT READ) Refusal; 99; XF

Multiple mentions question
[ASK ALL]
MULTIPLE MENTIONS: Max=2
Q19C
Within the past 12 months, have you had the flu (meaning influenza)?
INTERVIEWER INSTRUCTIONS: READ LIST. MULTIPLE ANSWERS ALLOWED
Yes, with severe symptoms (e.g. hospitalization, pneumonia); 1
Yes, with mild symptoms (e.g. sudden onset of high fever, chills, sore throat, cough, muscle pain); 2
No, did not have the flu; 3; X
(DO NOT READ) Valid skip/ Not applicable; 7; X
(DO NOT READ) Don’t know; 8; X
(DO NOT READ) Refusal; 9; X

Multiple mentions question
[ASK ALL]
MULTIPLE MENTIONS: Max=2
Q19D
Before the last 12 months, have you ever had the flu (meaning influenza)?
INTERVIEWER INSTRUCTIONS: READ LIST. MULTIPLE ANSWERS ALLOWED
Yes, with severe symptoms (e.g. hospitalization, pneumonia); 1
Yes, with mild symptoms (e.g. sudden onset of high fever, chills, sore throat, cough, muscle pain); 2
No, did not have the flu; 3; X
(DO NOT READ) Valid skip/ Not applicable; 7; X
(DO NOT READ) Don’t know; 8; X
(DO NOT READ) Refusal; 9; X

Multiple mentions question
[ASK ALL]
MULTIPLE MENTIONS: Max=2
Q19E
Within the past 12 months, do you know a friend or family member who had the flu (meaning influenza)?
INTERVIEWER INSTRUCTIONS: READ LIST. MULTIPLE ANSWERS ALLOWED
Yes, with severe symptoms (e.g. hospitalization, pneumonia); 1
Yes, with mild symptoms (e.g. sudden onset of high fever, chills, sore throat, cough, muscle pain); 2
No, don’t know anyone who had the flu; 3; X
(DO NOT READ) Valid skip/ Not applicable; 7; X
(DO NOT READ) Don’t know; 8; X
(DO NOT READ) Refusal; 9; X

 

Multiple mentions question
[ASK ALL]
MULTIPLE MENTIONS: Max=2
Q19F
Before the last 12 months do you know a friend or family member who has ever had the flu (meaning influenza)?
INTERVIEWER INSTRUCTIONS: READ LIST. MULTIPLE ANSWERS ALLOWED
Yes, with severe symptoms (e.g. hospitalization, pneumonia); 1
Yes, with mild symptoms (e.g. sudden onset of high fever, chills, sore throat, cough, muscle pain); 2
No, don’t know anyone who had the flu; 3; X
(DO NOT READ) Valid skip/ Not applicable; 7; X
(DO NOT READ) Don’t know; 8; X
(DO NOT READ) Refusal; 9; X

Section info
HEALTH PROMOTION AND MESSAGING
Multiple mentions question
[ASK ALL]
[MULTIPLE MENTIONS: Max=6]
Q21
Where do you get information, when you want to know more about the flu shot?
INTERVIEWER INSTRUCTIONS: (DO NOT READ LIST. MULTIPLE ANSWERS ALLOWED)
A public health setting, health clinic or pharmacy; 01
A government website (e.g. Public Health Agency of Canada); 02
The media (e.g. newspaper, radio); 03
Social media (e.g. Twitter, Facebook); 04
An app (e.g. ImmunizeCA); 05
Other; specify; 96; O
(DO NOT READ)Valid Skip / Not applicable; 97; X 
(DO NOT READ) Don’t know; 98; X 
(DO NOT READ) Refusal; 99; X

Multiple mentions question
[ASK ALL]
[MULTIPLE MENTIONS: Max=7]
Q22
For information about the flu shot, who do you trust?
INTERVIEWER INSTRUCTIONS: (DO NOT READ LIST. MULTIPLE ANSWERS ALLOWED)
Family doctor or general practitioner; 01
Other medical doctor (e.g. surgeon, oncologist, gynecologist); 02
Nurse; 03
Pharmacist; 04
An alternative care provider (e.g. naturopath, homeopath); 05
Friends; 06
Family; 07
Other, specify; 96; O 
(DO NOT READ) Valid skip / Not applicable; 97; X 
(DO NOT READ) Don’t know; 98; X 
(DO NOT READ) Refusal; 99; X

Simple mention question
[ASK ALL]
[ONE MENTION]
Q23A
Within the last 12 months, did anyone advise you to get the flu vaccine?
INTERVIEWER INSTRUCTIONS: (DO NOT READ LIST. ONLY ONE MENTION)
Yes; 1
No; 0
(DO NOT READ) Valid skip/ Not applicable; 7
(DO NOT READ) Don’t know; 8
(DO NOT READ) Refusal; 9

Multiple mentions question
[ASK IF Q23A=1]
[MULTIPLE MENTIONS: Max=15]
Q23
Who advised you to get the flu vaccine?
INTERVIEWER INSTRUCTIONS: (DO NOT READ LIST. MULTIPLE ANSWERS ALLOWED)

Family doctor or general practitioner; 01
Other medical doctor (e.g. surgeon, oncologist, gynecologist); 02
Nurse; 03
Pharmacist; 04
Dentist / Orthodontist; 05
Physiotherapist; 06
Massage therapist; 07
Chiropractor; 08
Acupuncturist; 09
Homeopath or naturopath; 10
Reflexologist; 11
Spiritual or religious healer; 12
Friends; 13
Family; 14
Other; specify; 96; O 
(DO NOT READ) Valid skip / Not applicable; 97; X 
(DO NOT READ) Don’t know; 98; X 
(DO NOT READ) Refusal; 99; X

Simple mention question
[ASK ALL]
[ONE MENTION]
Q24A
Within the last 12 months, did anyone advise you NOT to get the flu vaccine?
INTERVIEWER INSTRUCTIONS: (DO NOT READ LIST. ONLY ONE MENTION)
Yes; 1
No; 0
(DO NOT READ) Valid skip / Not applicable; 7
(DO NOT READ) Don’t know; 8
(DO NOT READ) Refusal; 9

Multiple mentions question
[ASK IF Q24A=1]
[MULTIPLE MENTIONS: Max=15]
Q24
Who advised you NOT to get the flu vaccine?
INTERVIEWER INSTRUCTIONS: (DO NOT READ LIST. MULTIPLE ANSWERS ALLOWED)
Family doctor or general practitioner; 01
Other medical doctor (e.g. surgeon, oncologist, gynecologist); 02
Nurse; 03
Pharmacist; 04
Dentist / Orthodontist; 05
Physiotherapist; 06
Massage therapist; 07
Chiropractor; 08
Acupuncturist; 09
Homeopath or naturopath; 10
Reflexologist; 11
Spiritual or religious healer; 12
Friends; 13
Family; 14
Other; specify; 96; O 
(DO NOT READ) Valid skip / Not applicable; 97; X 
(DO NOT READ) Don’t know; 98; X 
(DO NOT READ) Refusal; 99; X

Simple mention question
[ASK ALL]
[ONE MENTION]
Q25A
Within the last 12 months, have you seen, read or heard any messages promoting the flu vaccine?
INTERVIEWER INSTRUCTIONS: (DO NOT READ LIST. ONLY ONE MENTION)
Yes; 1
No; 0
(DO NOT READ) Valid skip / Not applicable; 7
(DO NOT READ) Don’t know; 8
(DO NOT READ) Refusal; 9

Multiple mentions question
[ASK IF Q25A=1]
[MULTIPLE MENTIONS: Max=11]
[LIST ORDER: RANDOM] 1 to 10
Q25
What type of message promoting the flu vaccine did you see, read or hear? Was it:
INTERVIEWER INSTRUCTIONS: (READ LIST. MULTIPLE ANSWERS ALLOWED)
Radio ad; 01
Television ad; 02
Printed posters or brochures; 03
Printed newspaper / magazine ad or article; 04
Online newspaper / magazine ad or article; 05
Social media (e.g. Facebook, Twitter); 06
Online, other than social media or newspaper/ magazine; 07
Outdoor ad (e.g. billboard, or on public transit); 08
Direct mail; 09
Word of mouth; 10
Other; specify; 96; O
(DO NOT READ) Valid skip/ Not applicable; 97; X 
(DO NOT READ) Don’t know; 98; X 
(DO NOT READ) Refusal; 99; X

Multiple mentions question
[ASK IF Q25=3,4, or 8]
[MULTIPLE MENTIONS: Max=4]
[LIST ORDER: RANDOM] 1 to 3
QT
Where did you see, read or hear those messages promoting the flu vaccine?
INTERVIEWER INSTRUCTIONS: (READ LIST. MULTIPLE ANSWERS ALLOWED)
When visiting the pharmacy, doctor’s office, or hospital; 01
While taking public transport; 02
While at work, or school; 03
Other; specify; 96 ;FO
(DO NOT READ) Valid skip/ Not applicable; 97; FX
(DO NOT READ) Don’t know; 98; FX
(DO NOT READ) Refusal; 99; FX

Section info
QSCTDEMO
The next questions are for statistical purposes only. It will allow us to group your answers with those of other similar respondents.

SCOLA
[ASK ALL]
[ONE MENTION]
[LIST ORDER: In order]
First, what is the highest level of formal education that you have completed?
INTERVIEWER INSTRUCTIONS: (READ LIST. ONLY ONE ANSWER)

Grade 8 or less; 01
Some high school; 02
High School diploma or equivalent; 03
Registered Apprenticeship or other trades certificate or diploma; 04
College, CEGEP or other non-university certificate or diploma; 05
University certificate or diploma below bachelor’s level; 06
Bachelor’s degree; 07
Post graduate degree above bachelor’s level; 08
(DO NOT READ) Valid skip / Not applicable; 97
(DO NOT READ) Don’t know; 98
(DO NOT READ) Refusal; 99

REVEN
[ASK ALL]
[One MENTION]
[LIST Order: In order]
Which of the following categories best describes your total household income? That is, the total income of all persons in your household combined, before taxes.
INTERVIEWER INSTRUCTIONS: (READ LIST. ONE MENTION POSSIBLE.)
Under $20,000; 01
$20,000 to $39,999; 02
$40,000 to $59,999; 03
$60,000 to $79,999; 04
$80,000 to $99,999; 05
$100,000 to $149,999; 06
$150,000 and above; 07
(DO NOT READ) Valid skip / Not applicable; 97
(DO NOT READ) Don’t know; 98
(DO NOT READ) Refusal; 99

Simple mention question
[ASK ALL]
[ONE MENTION]
Q16
Were you born in Canada?
INTERVIEWER INSTRUCTIONS: (DO NOT READ LIST. ONLY ONE MENTION)
Yes; 1
No; 0
(DO NOT READ) Valid skip / Not applicable; 7
(DO NOT READ) Don’t know; 8
(DO NOT READ) Refusal; 9

Simple mention -open
[ASK IF Q16=0]
Q17
In which country were you born?
INTERVIEWER INSTRUCTIONS: (DO NOT READ LIST. ONLY ONE MENTION)
China; 156
France; 250
Germany; 276
Greece; 300
Guyana; 328
Hong Kong; 344
India; 356
Iran; 364
Italy; 380
Jamaica; 388
Lebanon; 422
Netherlands; 528
Pakistan; 586
Philippines; 608
Poland; 616
Portugal; 620
Romania; 642
Korea, Republic of (South Korea); 410
Sri Lanka; 144
Taiwan; 158
Trinidad and Tobago; 780
United Kingdom; 826
United States; 840
Vietnam; 704
Algeria; 012
Belgium; 056
Colombia; 170
Afghanistan; 004
Bangladesh; 050
Turkey; 792
Ukraine; 804
Other; specify; 996
(DO NOT READ) Valid skip/ Not applicable; 997
(DO NOT READ) Don’t know; 998
(DO NOT READ) Refusal; 999

Numerical question
[ASK IF Q16=0]
[NUMERIC: LIMITS - Min=1, Max=100]
[DECIMALE: 0]
[VALIDATION:]
Q18
How many years have you been living in Canada?

INTERVIEWER INSTRUCTIONS: (RECORD NUMBER OF YEARS.)
Record number of years: XXX
(DO NOT READ) Valid skip/ Not applicable; 997
(DO NOT READ) Don’t know; 998
(DO NOT READ) Refusal; 999

Thank you for your participation.