Evaluating Internet Based Cessation Programs II: Minnesotas QUITPLAN'COMsm Intensive Followup Study - PowerPoint PPT Presentation

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Evaluating Internet Based Cessation Programs II: Minnesotas QUITPLAN'COMsm Intensive Followup Study

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Minnesota Partnership for Action Against Tobacco (MPAAT) Jessie Saul, PhD, Barbara A. Schillo, PhD, ... Nathan Cobb, MD; Pat Milner, Dave Atkins, JD. Consultants ... – PowerPoint PPT presentation

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Title: Evaluating Internet Based Cessation Programs II: Minnesotas QUITPLAN'COMsm Intensive Followup Study


1
Evaluating Internet Based Cessation Programs II
Minnesotas QUITPLAN.COMsmIntensive Follow-up
Study (IFUS)
  • Sharrilyn Evered, Ph.D., Jessie Saul, Ph.D.,
    Annette Kavanaugh, MS, Michael Luxenberg, Ph.D.,
    Nathan Cobb, MD, Randi Lachter, MPH, Lawrence An,
    MD, Barbara Schillo, Ph.D., and Ann Wendling, MD
    MPH

2
Evaluation Team
  • Minnesota Partnership for Action Against Tobacco
    (MPAAT)
  • Jessie Saul, PhD, Barbara A. Schillo, PhD, Ann
    Wendling, MD, Randi Lachter, MPH
  • Professional Data Analysts, Inc (PDA)
  • Sharrilyn Evered, PhD, Michael Luxenberg, PhD,
    Annette Kavanaugh, MS
  • QuitNet.com
  • Nathan Cobb, MD Pat Milner, Dave Atkins, JD
  • Consultants
  • Lawrence An, MD, University of Minnesota

3
Background
  • MPAAT launched quitplan.com (fall 03)
  • Online six-month follow-up survey obtained low
    response rate (10)
  • Quitters are more likely to respond, producing an
    inflated cessation rate
  • Intention-to-treat assumes all non-respondents
    still smoking - underestimates cessation rate

4
Low Response Rates Produce Big Gaps between
Completer and ITT
Standard Follow-Up Survey
5
Evaluation Context
  • Contracted with PDA to design an evaluation that
    would produce a valid cessation rate (i.e., high
    response rate)
  • Targets 70 consent rate and 70 response rate
  • Barriers distrust, reconnecting 6 months
    post-registration
  • Adopted cafeteria approach

6
Evaluation Design
  • Mixed mode survey with incentive
  • Obtained consent at registration
  • Mailed pre-notification letter, requesting
    updated contact information
  • Emailed live link to take survey (two reminders
    3 7 days)
  • After 12 days, phoned non-respondents (up to 25
    attempts)
  • Respondents mailed 10 thank you check

7
Pre-IFUS (8/1/03 - 2/1/04) (N3,743)
Post-IFUS (4/14/04 - 8/28/04) (N1,319)
IFUS (2/2/04 - 4/13/04) (N1,294)
Invited (N1,139)
Consented (N685)
Declined (N454)
60.1
39.9
Responded (N535)
Did Not Respond (N150)
78.1
21.9
Online (N283)
Phone (N252)
52.8
47.1
Excludes 9 people who did not permit us to use
their responses for research purposes and 7
people who were ineligible for the study (under
18 or non-MN resident)
8
High Response Rate Closes the Gap between
Completer and ITT
IFUS
9
Design Tips
  • Contact info update card 253 in postage 19
    people updated their info 18 completed the
    survey (3.4)
  • Calling 25 times 90 in 10, 99 in 15
  • SurveyMonkey.com low cost, control

10
Key to Our Success
  • Getting commitment to participate in a scientific
    study at the outset
  • Provide an incentive
  • Pre-notification letter
  • Highly trained and invested interviewers
  • Careful wording of messages is crucial

11
How Well do the IFUS Respondents Generalize to
Other quitplan.com Registrants?
  • Two Sets of Comparisons to Assess Bias

12
Groups Compared for Response Bias IFUS-era
Invited (N1,139)
Consented (N685)
Declined (N454)
60.1
39.9
Responded (N535)
Did Not Respond (N150)
78.1
21.9
Online (N283)
Phone (N252)
52.8
47.1
13
First Comparison IFUS-era
  • Logistic regression to predict response status
    (respondent vs. non-respondent)
  • sex, education level, race/ethnicity
  • smoking intensity, time to first cigarette, stage
    of readiness, quit attempt past year, use of quit
    aids, where heard about website
  • website features visited, post-registration login

14
Statistically Significant Relationships
IFUS-Era
  • The following groups were more likely to be an
    IFUS respondent
  • women
  • those with some education post HS
  • used the nicotine lozenge in the year prior to
    registration
  • used more of the sites features (i.e, set a quit
    date, posted to a forum)
  • logged in after registration

15
Groups Compared for Response Bias Pre/Post IFUS
Pre-IFUS (7/31/03 - 2/1/04) (N3,743)
Post-IFUS (4/14/04 - 8/28/04) (N1,319)
IFUS (2/2/04 - 4/13/04) (N1,294)
Invited (N1,139)
Consented (N685)
Declined (N454)
60.1
39.9
Responded (N535)
Did Not Respond (N150)
78.1
21.9
Online (N283)
Phone (N252)
52.8
47.1
16
Significant Relationships Pre/Post IFUS
  • Overrepresented in IFUS
  • women
  • more educated
  • used lozenge past year
  • heard about the site on TV or from healthcare
    provider
  • Logged in after registration
  • Underrepresented
  • tried to quit at least once in the past year
  • heard about the site from newspaper or magazine

17
Summary of Response Bias Analysis
  • Bivariate analyses revealed seasonal variation
    can account for some relationships
  • Differences between IFUS respondents and others
    (not attributable to seasonal variation)
    education, gender, site usage

18
Great Response Rate and a Representative Sample!
  • But Did We Sacrifice Internal Validity?

19
Groups Compared for Mode Bias Online vs. Phone
Pre-IFUS (8/1/03 - 2/1/04) (N3,743)
Post-IFUS (4/14/04 - 8/28/04) (N1,319)
IFUS (2/2/04 - 4/13/04) (N1,294)
Invited (N1,139)
Consented (N685)
Declined (N454)
60.1
39.9
Responded (N535)
Did Not Respond (N150)
78.1
21.9
Online (N283)
Phone (N252)
52.8
47.1
20
Analysis
  • Compared respondents on
  • missing data
  • sex, education level, race/ethnicity
  • smoking intensity, time to first cigarette, stage
    of readiness, quit attempt past year, use of quit
    aids, where heard about website
  • website features used, post-registration login
  • cessation and satisfaction outcomes

21
Results Demographics, Clinical Characteristics,
and Site Use
  • Percent of cases with complete data on every
    variable did not vary by mode
  • These groups were overrepresented among online
    respondents
  • women
  • those in action or maintenance stage at
    registration
  • those who used the site more

22
Results Cessation Outcomes
23
Results Attitude Items
24
Mode Bias Summary
  • Cessation outcomes do not vary by mode
  • Some attitude items vary, but not in a consistent
    direction
  • Mode confounded with an early response, so
    results are difficult to interpret

25
Conclusions
  • Mode bias suggests attitude questions may be less
    reliable with this design
  • Mixed mode design with incentive can produce a
    high response rate
  • High response rate generates a more
    representative sample and closes the gap between
    completer and ITT rates
  • Web-based cessation programs can be meaningfully
    evaluated

26
For more information
  • About the design, contact me at
  • sharrilyn_r_evered_at_bluecrossmn.com
  • 651-662-9383
  • About the results, contact Jessie Saul at
  • jsaul_at_mpaat.org
  • 952-767-1415
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