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Doctors' Understanding of Survival Statistics (MPIB)

The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been evaluated by the U.S. Federal Government. Read our disclaimer for details.
 
ClinicalTrials.gov Identifier: NCT00981019
Recruitment Status : Completed
First Posted : September 22, 2009
Results First Posted : August 15, 2011
Last Update Posted : August 15, 2011
Sponsor:
Collaborator:
Dartmouth-Hitchcock Medical Center
Information provided by:
Max Planck Institute for Human Development

Study Description
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Brief 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.

Condition or disease
Screening

Study Design
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Study Type : Observational
Actual Enrollment : 778 participants
Observational Model: Ecologic or Community
Time Perspective: Prospective
Official Title: Study of Primary Care Physicians' Understanding and Use of Different Survival Measures
Study Start Date : December 2009
Actual Primary Completion Date : December 2009
Actual Study Completion Date : December 2009
Groups and Cohorts
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Group/Cohort
mortality*incidence*5-year survival*early stage
Physicians will be faced in scenarios about screening with information on mortality and 5-year survival, followed by information on mortality*incidence and 5-year survival*early stage in a random order.


Outcome Measures
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Primary Outcome Measures :
  1. Number of Physicians (=Participants) Recommending the Screening [ Time Frame: 25 minutes (mean duration of the survey) ]
    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.


Secondary Outcome Measures :
  1. Number of Physicians (= Participants) Assuming a Benefit of Screening [ Time Frame: 25 minutes (mean duration of the survey) ]
    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.


Eligibility Criteria
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Information from the National Library of Medicine

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Ages Eligible for Study:   30 Years to 65 Years   (Adult, Older Adult)
Sexes Eligible for Study:   All
Accepts Healthy Volunteers:   No
Sampling Method:   Non-Probability Sample
Study Population
301 primary care physicians (internal, general, and family medicine physicians)
Criteria

Inclusion Criteria:

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

Exclusion Criteria:

  • all other types of physicians
Contacts and Locations
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Information from the National Library of Medicine

To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.

Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT00981019


Locations
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Germany
Max Planck Institute for Human Development
Berlin, Germany, 14195
Sponsors and Collaborators
Max Planck Institute for Human Development
Dartmouth-Hitchcock Medical Center
Investigators
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Principal Investigator: Odette Wegwarth, Dr. Max Planck Institute for Human Development
More Information
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Additional Information:

Publications automatically indexed to this study by ClinicalTrials.gov Identifier (NCT Number):

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Responsible Party: Dr. Odette Wegwarth, Max Planck Institute for Human Development/ Harding Center for Risk Literacy
ClinicalTrials.gov Identifier: NCT00981019    
Other Study ID Numbers: MPIB-01-SM
First Posted: September 22, 2009    Key Record Dates
Results First Posted: August 15, 2011
Last Update Posted: August 15, 2011
Last Verified: July 2011
Keywords provided by Max Planck Institute for Human Development:
survival rates
risk communication
screening counselling
screening recommendation
understanding of medical risk