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Study Objective
Basic Rationale
Design and Justification
Challenging Issues
Factors Influencing Participation in Cancer
Scre...
Study Objective
Basic Rationale
Design and Justification
Challenging Issues
Study Objective
Factors affecting screening part...
Study Objective
Basic Rationale
Design and Justification
Challenging Issues
Basic Rationale
Key Facts about Colorectal Canc...
Study Objective
Basic Rationale
Design and Justification
Challenging Issues
Design
Justification
Cross-Sectional Study using...
Study Objective
Basic Rationale
Design and Justification
Challenging Issues
Design
Justification
Cross-Sectional Study using...
Study Objective
Basic Rationale
Design and Justification
Challenging Issues
Design
Justification
Preventive Health Model
5 C...
Study Objective
Basic Rationale
Design and Justification
Challenging Issues
Challenging Issues
Selection bias: difficulties w...
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Factors influencing participation in cancer screening

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Research proposal for epidemiologic study design

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Factors influencing participation in cancer screening

  1. 1. Study Objective Basic Rationale Design and Justification Challenging Issues Factors Influencing Participation in Cancer Screening Sahir Rai Bhatnagar Queen’s University March 6, 2013 1 / 7
  2. 2. Study Objective Basic Rationale Design and Justification Challenging Issues Study Objective Factors affecting screening participation can be categorised into 1) non-modifiable (SES, demographics, education, health insurance) 2) modifiable (knowledge, perception of risk, benefits and barriers) Research question Among South Asian men and women ages 40+ in the Greater Toronto Area (GTA), can the 5 psychosocial contructs of the Preventive Health Model (PHM) be used to 1 Predict colorectal cancer screening (CRCS) adherence 2 Adequately design behavioral interventions that promote the use of CRCS 2 / 7
  3. 3. Study Objective Basic Rationale Design and Justification Challenging Issues Basic Rationale Key Facts about Colorectal Cancer (CRC) and the South Asian population 2nd leading cause of cancer death in Canadians. Highest susceptibility age 50+ Significantly better outcomes if diagnosed in the first two stages → population-based screening can detect CRC at an early stage 14% of males and 10% of females reported a fecal occult blood test (FOBT) in past 2 years → CCO 2020 Target: 90% Disproportionate amount of CRCS uptake between visible minorities and their counterparts South Asian population → largest visible minority group in Canada (over 700k living in GTA) 3 / 7
  4. 4. Study Objective Basic Rationale Design and Justification Challenging Issues Design Justification Cross-Sectional Study using the Preventive Health Model Population: South Asians (from India, Pakistan, Bangladesh, Sri Lanka) ages 40+ living in the GTA Exposures: 3 demographic characteristics (age, marital status, education) and 16 psychosocial items of the PHM measured on a 5-point Likert scale Outcome: Any screening test (FOBT, colonoscopy) done in the past 2 years 4 / 7
  5. 5. Study Objective Basic Rationale Design and Justification Challenging Issues Design Justification Cross-Sectional Study using the Preventive Health Model Questionnaires administered orally by trained South Asian male and female interviewers in participant’s preferred language Study materials translated, pre-tested with members of the target population and revised accordingly Sampling: places of worship, hospitals Incentives: Compensation for time and materials about CRCS guidelines and resources 5 / 7
  6. 6. Study Objective Basic Rationale Design and Justification Challenging Issues Design Justification Preventive Health Model 5 Constructs 1 Salience and coherence: Having CRCS can help to protect my health 2 Perceived susceptibility: Compared with other persons my age, I am at a lower risk for CRC 3 Response efficacy: When CRC is found early, it can be cured 4 Cancer worries: I am worried that the screening will show that I have CRC or polyps 5 Social influence: I want to do what my doctor or health professional thinks I should do about CRCS PHM shown to be factorially invariant across gender: items on the questionnaire are interpreted similarly by men and women 6 / 7
  7. 7. Study Objective Basic Rationale Design and Justification Challenging Issues Challenging Issues Selection bias: difficulties with recruitment, sampling, women may be less likely to participate due to patriarchal norms in SA culture Information bias: measurement error, 4 interviewers (1 for each language), lost in translation Confounders: other factors that may influence CRC screening in the SA population (e.g. language, time since immigration, access to a family physician, employment status, marital status, education) 7 / 7

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