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Data display format and hospital ward reports: effects of different presentations on data interpretation.
- Source :
-
European Journal of Public Health . Feb2013, Vol. 23 Issue 1, p82-86. 5p. - Publication Year :
- 2013
-
Abstract
- Background: Graphs are often used in medical communication, both in clinical practice and health management. They can help the processing of quantitative information but may also contribute to drawing wrong conclusions. The aim of the survey is to study the graphical perception of the data at the management level and its possible effects, showing how some criteria of appraisal of a phenomenon are influenced by the graphical format. Methods: One hundred and five medical doctors and health direction professionals of hospitals in Naples, Rome, Siena and Turin were interviewed. Four different graphs or table related to the same hypothetical data on average hospital stay in the period January 2000 to September 2003 were shown to participants, and their impressions were recorded. Results: Less than one-fourth of the participants understood that the data set was the same for the different diagrams. The process of understanding is mostly correlated with being a director, having a degree in medicine and working in central–northern cities. The table seems easier for interpretation (98.1%), more suitable (84.8%), more used (92.4%) and more pleasant than other data presentation. On the other hand radar format had worse results in all questions. Conclusions: The choice of a graphical format may influence the understanding of data. Further research is needed in order to sustain the improvement of medical and health professionals’ knowledge in the display data format. [ABSTRACT FROM PUBLISHER]
- Subjects :
- *INFORMATION literacy
*DATA analysis
*HEALTH facilities
*RESEARCH
*CHI-squared test
*EXECUTIVES
*EXPERIMENTAL design
*LENGTH of stay in hospitals
*INFORMATION display systems
*INTERVIEWING
*MEDICAL cooperation
*MULTIVARIATE analysis
*PHYSICIAN executives
*POPULATION geography
*QUESTIONNAIRES
*U-statistics
*LOGISTIC regression analysis
*EDUCATIONAL attainment
*CROSS-sectional method
*DESCRIPTIVE statistics
Subjects
Details
- Language :
- English
- ISSN :
- 11011262
- Volume :
- 23
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- European Journal of Public Health
- Publication Type :
- Academic Journal
- Accession number :
- 85215250
- Full Text :
- https://doi.org/10.1093/eurpub/ckr205