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Clinical Trial Details — Status: Completed

Administrative data

NCT number NCT00981019
Other study ID # MPIB-01-SM
Secondary ID
Status Completed
Phase N/A
First received September 18, 2009
Last updated July 20, 2011
Start date December 2009
Est. completion date December 2009

Study information

Verified date July 2011
Source Max Planck Institute for Human Development
Contact n/a
Is FDA regulated No
Health authority Germany: Ethics Commission
Study type Observational

Clinical Trial Summary

The probably most commonly used measure for expressing the pay-offs of early detection and treatment are survival rates. Yet, over time and groups this metric comes with several biases and thus, is not reliable for judging such benefits. Epidemiologists recommend using reduction of disease-specific mortality rates instead, which is unbiased. The purpose of the study is to investigate how primary care physicians understand and use different survival measures for determining the benefit of cancer screening tests.


Recruitment information / eligibility

Status Completed
Enrollment 778
Est. completion date December 2009
Est. primary completion date December 2009
Accepts healthy volunteers No
Gender Both
Age group 30 Years to 65 Years
Eligibility Inclusion Criteria:

- primary care physicians (internal, general, and family medicine physicians)

Exclusion Criteria:

- all other types of physicians

Study Design

Observational Model: Ecologic or Community, Time Perspective: Prospective


Related Conditions & MeSH terms


Locations

Country Name City State
Germany Max Planck Institute for Human Development Berlin

Sponsors (2)

Lead Sponsor Collaborator
Max Planck Institute for Human Development Dartmouth-Hitchcock Medical Center

Country where clinical trial is conducted

Germany, 

Outcome

Type Measure Description Time frame Safety issue
Primary Number of Physicians (=Participants) Recommending the Screening The aim of the study was to learn how different medical cancer screening statistics would influence doctors' recommendation behavior and their effectiveness judgments of screening tests. For that reason the online survey study presented physicians with four different medical statistics (e.g., 5-year survival) within four successive scenarios and asked after each scenario whether they would recommend the screening to a (hypothetical) patient given the data. Options to answer are: Definitely yes, Probably yes, Probably no, Definitely no, Can't decide. 25 minutes (mean duration of the survey) No
Secondary Number of Physicians (= Participants) Assuming a Benefit of Screening Physicians are faced with four different medical statistics about the effect of screening (e.g., 5-year survival) within four successive scenarios and after each scenario asked whether they assume the screening to be beneficial given the statistical information. Options to answer are: yes, no, can't decide. If yes, then participants are further asked to describe this benefit by the following categories: Very large, large, moderate, small, very small. 25 minutes (mean duration of the survey) No
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