Kathleen Decker Alain Demers Daniel Chateau Marion Harrison Cervical Cancer in Manitoba: evaluating risk, Pap test utilization, and access CancerCare Manitoba.

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Presentation transcript:

Kathleen Decker Alain Demers Daniel Chateau Marion Harrison Cervical Cancer in Manitoba: evaluating risk, Pap test utilization, and access CancerCare Manitoba Foundation Operating Grant (# )

Objectives Compare the risk of invasive cervical cancer among women who received regular Pap tests and those who received irregular or no Pap tests. Determine if cases and controls had the same opportunity to be screened.

Objectives Determine if there is a relationship between physician characteristics and the probability of a woman being screened. Determine if tumour stage at diagnosis depends on screening history. Calculate the possible reduction in risk of cervical cancer if all Manitoba women were screened regularly.

Data Sources Manitoba Cancer Registry (MCR) Manitoba Health Insurance Plan Registration File (MH Population Registry) Manitoba Physician Claims Database Physician Master File 1996 Canadian Census Cervical Cancer Database

Method Case control study. 678 cases diagnosed between 1989 and 2001 were matched to 3378 controls by age at diagnosis and area of residence. Women had to be at least 18 years of age. Controls had no history of cervical cancer or any other malignant neoplasm excluding non-melanoma skin cancer. All cases and controls had at least 5 years of coverage by Manitoba Health prior to diagnosis date.

Results – Risk of cervical cancer and rate of Pap tests Between 1989 and 2001 (the whole study period) The rate of Pap test was 17% higher amongst control than cancer cases. NOR95% CI Never had a Pap test Ever had a Pap test $10,000 income increase Urban Rural

Results – Risk of cervical cancer in relation to Pap test regularity Women screened regularly - at least one Pap test every 3 years. Analyses were restricted to the 5-year period before diagnosis. OR95% CI Pap test regular Other (irregular / none) $10,000 income increase

Results – Rate of Pap test We looked at the rate of Pap test within the 5 year preceding the diagnosis dates of cases. The mean number of Pap tests for cases was The mean number of Pap tests for controls was NRR95% CI Controls Cases Age increase (10-yr steps) $10,000 income increase Urban Rural

Results – Tumour Stage (FIGO) and Regular Screening Tumour Stage OR95% CI Not screened regularly – – – 4.76 Tumour stage for 460 cases 272 (59%) stage I 95 (21%) stage II 71 (15%) stage III 22 (5%) stage IV

Method – Opportunity to be screened An opportunity to be screened was defined as any physician visit within the 5 years preceding the diagnosis date of the case excluding the 6 months prior to diagnosis. All physician visits up to 10 months after a Pap test were not considered another opportunity to be screened.

Results – Rate of physician visits (opportunity to be screened) Within the 5 year period preceding a cancer diagnosis Cancer cases had a mean number of 17.8 visits/opportunities. Controls had a mean number of 18.3 visits/opportunities. RR95% CI Controls Cases of cancer Age (10-yr steps) $10,000 income increase Urban Rural1.00--

Results – Physician Characteristics Entire data set OR95% CI Rural GP – 0.85 Obstetrician/gynecologist – 6.68 Sub set (55%) Canadian graduate – 1.28 Graduation year – 1.54 Female – 1.76 We examined the probability of having a Pap test in the 5 years prior to diagnosis by physician characteristics.

Results – Risk reduction We calculated the possible reduction in the number of cervical cancer cases for the year 1999 if all women had been screened regularly. We assumed that the rate of regularity among controls was the same as the general population and that all of the population was regular. Regular screening was defined as at least one Pap test every 3 years.

Results – Risk reduction There were 51 cases of invasive cervical cancer in Manitoba in If all women were screened regularly, there would have been 34.4 cases. 51 – 34 cases = 17 fewer cases (33%).

Conclusions. Implications for program delivery. Expanded analysis.