Accuracy of responses from postal surveys about continuing medical education and information behavior: experiences from a survey among German diabetologists
Background
Postal surveys are a popular instrument for studies about continuing medical education habits. But little is known about the accuracy of responses in such surveys. The objective of this study was to quantify the magnitude of inaccurate responses in a postal survey among physicians.
Methods
A sub-analysis of a questionnaire about continuing medical education habits and information management was performed. The five variables used for the quantitative analysis are based on a question about the knowledge of a fictitious technical term and on inconsistencies in contingency tables of answers to logically connected questions.
Results
Response rate was 52%. Non-response bias is possible but seems not very likely since an association between demographic variables and inconsistent responses could not be found. About 10% of responses were inaccurate according to the definition.
Conclusion
It was shown that a sub-analysis of a questionnaire makes a quantification of inaccurate responses in postal surveys possible. This sub-analysis revealed that a notable portion of responses in a postal survey about continuing medical education habits and information management was inaccurate.
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Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[
"009:25"
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|
| contactPoint |
{
"fn": "NIH",
"@type": "vcard:Contact",
"hasEmail": "mailto:info@nih.gov"
}
|
| description | Background Postal surveys are a popular instrument for studies about continuing medical education habits. But little is known about the accuracy of responses in such surveys. The objective of this study was to quantify the magnitude of inaccurate responses in a postal survey among physicians. Methods A sub-analysis of a questionnaire about continuing medical education habits and information management was performed. The five variables used for the quantitative analysis are based on a question about the knowledge of a fictitious technical term and on inconsistencies in contingency tables of answers to logically connected questions. Results Response rate was 52%. Non-response bias is possible but seems not very likely since an association between demographic variables and inconsistent responses could not be found. About 10% of responses were inaccurate according to the definition. Conclusion It was shown that a sub-analysis of a questionnaire makes a quantification of inaccurate responses in postal surveys possible. This sub-analysis revealed that a notable portion of responses in a postal survey about continuing medical education habits and information management was inaccurate. |
| distribution |
[
{
"@type": "dcat:Distribution",
"title": "Official Government Data Source",
"mediaType": "text/html",
"description": "Visit the original government dataset for complete information, documentation, and data access.",
"downloadURL": "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC126225/"
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|
| identifier | https://healthdata.gov/api/views/bvn5-b8ep |
| issued | 2025-07-14 |
| keyword |
[
"diabetes-education",
"information-behavior",
"nih",
"physician-survey",
"response-accuracy"
]
|
| landingPage | https://healthdata.gov/d/bvn5-b8ep |
| modified | 2025-09-06 |
| programCode |
[
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]
|
| publisher |
{
"name": "National Institutes of Health",
"@type": "org:Organization"
}
|
| theme |
[
"NIH"
]
|
| title | Accuracy of responses from postal surveys about continuing medical education and information behavior: experiences from a survey among German diabetologists |
