Screening Clinical Trial
— MPIBOfficial title:
Study of Primary Care Physicians' Understanding and Use of Different Survival Measures
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 |
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.
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 |
Observational Model: Ecologic or Community, Time Perspective: Prospective
Country | Name | City | State |
---|---|---|---|
Germany | Max Planck Institute for Human Development | Berlin |
Lead Sponsor | Collaborator |
---|---|
Max Planck Institute for Human Development | Dartmouth-Hitchcock Medical Center |
Germany,
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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