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However, correlations between the two data sources varied across screening types.
Included patients further had to be eligible for at least one of the cancer screening types.
For the same reason, analyses involving both screening types focused on women aged 53-74.
From the results, we selected all 1,464 municipalities that carried out both screening types.
For each of the screening types, the coefficient on the linear age variable is also positive and statistically significant (p <.001).
Then, for screening types in which a significant relationship was found for language concordance, language concordance was included in final multivariable models.
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Using these items of information, we classified women into those who had had both types of screening, only one screening type, and neither screening type.
We used logistic regression with a binary patient-level outcome for each cancer screening type: appropriately screened or not.
Our research found distinct relationships for low health literacy and LEP by screening type.
We also used multivariable analysis for each screening type with random effects logit regression.
We then calculated cost-effectiveness estimates of client reminders by population size and screening type.
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