Promoting evidence-informed breast cancer prevention

Do tailored messages promote evidence-informed decision making in breast cancer prevention?

Status

Active, not recruiting

Phases

Unknown

Study type

Interventional

Source

ISRCTN

Registry ID

ISRCTN87385891

Enrollment

300

Registered

2008-06-09

Start date

2008-07-01

Completion date

Unknown

Last updated

2015-01-13

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Breast cancer Cancer Malignant neoplasm of the breast

Interventions

A tailored messaging (TM) intervention will be implemented over one year and will be comprised of three distinct components: 1. An expert consensus panel: Researchers, health care providers, policy-

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: Study participants include public health professionals responsible for making policy or program decisions related to breast cancer prevention directly (e.g. screening, physical activity, healthy eating), including program managers, directors, and medical officers of health working in public health units in Canada.

Exclusion criteria

Exclusion criteria: 1. No responsibility for and/or involvement in decision making related to breast cancer prevention 2. Not currently working in a public health unit

Design outcomes

Primary

Measure	Time frame
The primary outcome will be the percentage change in the number of evidence-based interventions from baseline and will be calculated as the outcome variable (this variable can be either negative or greater than 100). Then, the value of this variable will be tabulated per province/territory. For each province/territory multiple measurements for the TM and control groups will be available. If the number of health units for the TM or control group is less than three for a particular province/territory, the data for that province/territory will be amalgamated with the neighboring province/territory. A fixed effect meta-analytic approach will be used to compare the difference between the control group and treatment group. This technique will permit us to report treatment effect size and the corresponding 95% confidence interval.	—

Measure

Time frame

The primary outcome will be the percentage change in the number of evidence-based interventions from baseline and will be calculated as the outcome variable (this variable can be either negative or greater than 100). Then, the value of this variable will be tabulated per province/territory. For each province/territory multiple measurements for the TM and control groups will be available. If the number of health units for the TM or control group is less than three for a particular province/territory, the data for that province/territory will be amalgamated with the neighboring province/territory. A fixed effect meta-analytic approach will be used to compare the difference between the control group and treatment group. This technique will permit us to report treatment effect size and the corresponding 95% confidence interval.

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Secondary

Measure	Time frame
1. To assess whether TMs are more effective than access to www.health-evidence.ca in promoting the use of research evidence in program planning decisions, a multi-level mixed effect regression analysis will be used to compare the perceived self-reported incorporation of research evidence on breast cancer prevention and early detection into decision makers' program planning decision-making. Using this technique we will be able to examine the difference between intervention and control while adjusting for the possible effects of the organisational, the individual and the environment (province/territory). 2. To determine whether EIDM influenced by characteristics of the organisation, environment, and individual, the outcome variable will be the number of breast cancer prevention and early detection interventions implemented by each health unit. A multilevel log-linear model will assess the difference between the TM and control groups while adjusting for characteristics of the organisation, individual, and the environment (province/territory).	—

Measure

Time frame

1. To assess whether TMs are more effective than access to www.health-evidence.ca in promoting the use of research evidence in program planning decisions, a multi-level mixed effect regression analysis will be used to compare the perceived self-reported incorporation of research evidence on breast cancer prevention and early detection into decision makers' program planning decision-making. Using this technique we will be able to examine the difference between intervention and control while adjusting for the possible effects of the organisational, the individual and the environment (province/territory). 2. To determine whether EIDM influenced by characteristics of the organisation, environment, and individual, the outcome variable will be the number of breast cancer prevention and early detection interventions implemented by each health unit. A multilevel log-linear model will assess the difference between the TM and control groups while adjusting for characteristics of the organisation, individual, and the environment (province/territory).

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Countries

Canada

Outcome results

None listed

Source: ISRCTN (via WHO ICTRP) · Data processed: Feb 4, 2026