| Literature DB >> 29343216 |
Katalin Vraukó1,2, Zoltán Jancsó3, László Kalabay4, Andrea Lukács5, Gabriella Maráczi6, Lajos Mester7, Anna Nánási3, József Rinfel8, Tamás Sárosi6, Ferenc Tamás4, Albert Varga7, József Vitrai9, Imre Rurik3.
Abstract
BACKGROUND: Within the frame of National Epidemiological Surveillance System, family physicians have an obligation to report infections and suspicions cases. The aim of this study was to evaluate the knowledge, attitudes, daily practice and the reporting activities of Hungarian family physicians regarding to infectious diseases.Entities:
Keywords: Family physician; Hungary; Infections; Infectious diseases; Primary care; Reporting
Mesh:
Year: 2018 PMID: 29343216 PMCID: PMC5773032 DOI: 10.1186/s12879-018-2948-5
Source DB: PubMed Journal: BMC Infect Dis ISSN: 1471-2334 Impact factor: 3.090
Summary of agreement scores given to the statements on reporting system of communicable diseases
| Statements | Mean score | Percentile 25th | Percentile 75th |
|---|---|---|---|
| Infections reported by one single doctor do not contribute to epidemiological surveillance | 3.16 | 0 | 5 |
| Reporting infectious diseases hinders daily work | 3.39 | 0 | 6 |
| I cannot report due to system failure (system not available) from time to time | 4.89 | 1 | 8 |
| Only lab proven infectious diseases will be reported | 5.67 | 2 | 9 |
| Reporting infections takes more time that they are usually short of | 6.09 | 3 | 9 |
| Only serious infections should be reported | 6.19 | 4 | 9 |
| Severe infections are detected in special care | 6.22 | 5 | 8 |
| The national infectious disease surveillance system works well | 6.86 | 5 | 8 |
| It is not clear how reporting data will be used by health care authorities | 6.79 | 5 | 10 |
| Reporting is not only an obligation stipulated by law but also a professional task | 9.03 | 9 | 10 |
Percentile 25th and Percentile 75th marks the scores under which one third and three third of scores were given, respectively
Association between agreement scores and gender, age, years spent in practice
| Statements | Gender | Age | Years of practice | ||||
|---|---|---|---|---|---|---|---|
| Coef. | p | Coef. | p | Coef. | p | ||
| 1. | The Hungarian infection surveillance system works well. | 0,36 | 0,239 | −0,13 | 0,564 |
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| 2. | Severe infectious diseases are detected in special care. | −0,55 | 0,098 | −0,16 | 0,519 | 0,01 | 0,951 |
| 3. | I only report lab proven infection cases. | −0,18 | 0,704 | 0,03 | 0,369 | 0,02 | 0,454 |
| 4. | Infection cases exclusively reported by one single doctor do not contribute to epidemiology surveillance. | −0,41 | 0,381 |
|
| 0,09 | 0,766 |
| 5. | Reporting infections cases hinders my daily clinical work. | −0,79 | 0,076 | 0,04 | 0,184 | 0,03 | 0,211 |
| 6. | Reporting infection cases is not only an obligation by law but is also a professional task as well. | 0,31 | 0,209 | 0,05 | 0,991 | 0,06 | 0,707 |
| 7. | Only relevant and severe infection cases should be reported. | −0,66 | 0,154 | 0,01 | 0,973 | 0,07 | 0,814 |
| 8. | Reporting infections requires more time that we are sometimes short of. | −0,22 | 0,626 | 0,01 | 0,956 | 0,01 | 0,598 |
| 9. | I do not know how healthcare authorities will use the information I provide. | −0,74 | 0,079 | 0,09 | 0,761 | 0,01 | 0,687 |
| 10. | I cannot report occasionally due to the failure of the informatics system (system unavailable). | −0,11 | 0,832 | −0,01 | 0,687 | 0,01 | 0,671 |
The strength of association was assessed using General Linear Regression model and expressed in the table by the regression coefficient (Coef.). It is the estimated change in agreement score caused by one unit increase in that particular variable. One unit increase in variable ‘Gender’ is changing from male to female physician, for ‘Age’ and ‘Years of practice’ is one year increase. The probability that the coefficient not different from zero is given under ‘p’. Statistical significant coefficients at 5% level are in bold
Association between agreement score and practice location
| Statements | City | Smal town | Village | ||||
|---|---|---|---|---|---|---|---|
| Coef. | p | Coef. | p | Coef. | p | ||
| 1. | The Hungarian infection surveillance system works well. | 0,42 | 0,311 | 0,53 | 0,167 | 0,31 | 0,938 |
| 2. | Severe infectious diseases are detected in special care. | 0,39 | 0,384 | 0,41 | 0,332 | −0,91 | 0,841 |
| 3. | I only report lab proven infection cases. | −0,72 | 0,271 | −0,34 | 0,577 |
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| 4. | Infection cases exclusively reported by one single doctor do not contribute to epidemiology surveillance. | 0,16 | 0,791 | 0,66 | 0,269 | 0,41 | 0,522 |
| 5. | Reporting infections cases hinders my daily clinical work. | −0,28 | 0,632 | −0,32 | 0,559 |
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| 6. | Reporting infection cases is not only an obligation by law but is also a professional task as well. | 0,57 | 0,071 | 0,34 | 0,256 |
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| 7. | Only relevant and severe infection cases should be reported. | −0,23 | 0,709 | −0,18 | 0,756 | −1,08 | 0,084 |
| 8. | Reporting infections requires more time that we are sometimes short of. | −0,91 | 0,137 | −0,68 | 0,238 |
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| 9. | I do not know how healthcare authorities will use the information I provide. | −0,93 | 0,103 | −0,24 | 0,654 | 0,13 | 0,808 |
| 10. | I cannot report occasionally due to the failure of the informatics system (system unavailable). | −0,08 | 0,903 | −1,13 | 0,079 | −0,03 | 0,961 |
The strength of association was assessed using General Linear Regression model and expressed in the table by the regression coefficient (Coef.). It is the estimated change in agreement score caused by one unit increase in that particular variable. One unit increase for variable location of practice is the change from capital to ‘City’, or ‘Small town’, or ‘Village’. The probability that the coefficient not different from zero is given under ‘p’. Statistical significant coefficients at 5% level are in bold