barriers to seeking diagnosis and treatment for breast cancer in a selected philippine population...
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Barriers to seeking diagnosis and treatment for breast cancer in a selected
Philippine population
Victoria M. Medina
Introduction
• Continuation of a previous study– Sample of randomly selected women, 70 women
found positive for breast lump on clinical breast examination (CBE)
– Only 46 women (66%) reported to the referral hospital even when the cost of diagnosis and treatment were shouldered by a third party
– Non-compliers gave perfunctory answers like “I am afraid to know the results”, “it’s not necessary because I don’t feel any pain”, “I do not have time”
Objectives
• To determine the reasons for compliance and non-compliance to diagnosis and treatment in women offered free screening and treatment of breast cancer, after a positive finding on clinical breast examination.
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Methods
Only 58 out of the 70 women positive for breast mass were located and interviewed 38 compliers and 20 non compliers
17 item questionnaire based on the health belief model (HBM) 3 subdomains
Perceived susceptibility Perceived benefits Perceived barriers
A 6-item Likert scale was used for the responses. T-test was used to compare average scores on the Likert scale.
90 % level of significance Logistic regression was done to
determine independent factors affecting outcome.
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Results
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Table 1. Likert Scale Scores For Factors Affecting Compliance Using the Health Belief Model
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ItemsCompliers (n=38)
Mean + SD
Non-compliers (n=20)
Mean + SDP value
Susceptibility 2.62+1.98 3.15+2.32 0.22
Benefit 5.89+0.419 5.85+0.352 0.55
Barriers
Money-related 3.88+2.31 3.77+2.30 0.81
Knowledge (lack of) 2.72+2.13 3.65+2.47 0.05
Fear 2.67+2.19 3.47+2.48 0.09
Time-related 2.25+2.00 2.90+2.39 0.15
Institutional 2.55+1.99 2.50+2.16 0.96
Shame 1.54+1.40 1.75+1.81 0.52
Inconvenient 1.45+1.18 3.00+2.51 0.015
ItemsCompliers (n=38)
Mean + SD
Non-compliers (n=20)
Mean + SD
P value
Number of barriers 3.92+1.12 5.40+1.47 0.00
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Table 2. Comparison of the mean number of barriers identified
Table 3. Results of Logistic Regression, with Compliance as Dependent Variable. Logistic
Regression Table
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Predictor Z p value Odds Ratio 95% CITotal fear -0.57 0.57 0.93 0.74 - 1.18Total info 1.83 0.07 1.23 0.99 - 1.53Inconvenience 1.98 0.05 1.53 1.00 - 2.32Number of barriers 2.50 0.01 2.17 1.18 - 3.97
Discussion• Perceived susceptibility
– Higher score in non-complier
• Perceived benefits– Both compliers and non-compliers agree to the
benefits of early detection and treatment
• Perceived barriers– number of perceived barriers was significantly
fewer among those non-compliers than compliers
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Types of barriers
• Fear– Constant finding in several studies– Abnormal cancer screening findings and recalls for
further investigation have the potential to generate psychological distress
– Individuals who believe that getting cancer will severely limit their ability to function on a daily basis may be fearful of getting screened for cancer
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• Lack of knowledge– add to psychological distress due to the
uncertainty this generates, and can impact negatively on compliance
– some people especially those with high levels of anxiety to start with, may be further distressed with more information about the disease
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• Inconvenience– Echoes the findings of other studies– Weekday clinic schedules only
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Limitations
• Small sample size and its consequence on statistical power
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Conclusions
Non-compliance to referrals may be due to perceived inconvenience, fear and lack of knowledge. Efforts should be made to reinforce breast cancer awareness, and women encouraged to consult for possible cancer related symptoms.
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Thank you
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