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| Name | Class |
|---|---|
| Pacmed BV | UNKNOWN |
| Zorgverzekeraar CZ | OTHER |
| Zorgverzekeraar Zilveren Kruis | UNKNOWN |
| Zorgverzekeraar Menzis |
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This study evaluates the implementation of a machine learning based clinical decision support system for treatment of patients presenting with an urinary tract infection in general practice. The software was developed to support general practitioners in the choice of antibiotic regimen.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Software practices | Patients with urinary tract infection in practices using the clinical decision support software | ||
| Control practices | Patients with urinary tract infection in practices not using the clinical decision support software |
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| Measure | Description | Time Frame |
|---|---|---|
| Non-recurrent UTI | A subsequent period of time after treatment, in which no new UTI treatment was needed | 28 days |
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Inclusion Criteria:
Exclusion Criteria:
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Patients with a urinary tract infection diagnosed by the general practitioner
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| Name | Affiliation | Role |
|---|---|---|
| Willem Herter | Leiden University Medical Center | Study Director |
| Tobias Bonten | Leiden University Medical Center | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Netherlands Institute for Health Services Research | Utrecht | Netherlands |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 35507396 | Derived | Herter WE, Khuc J, Cina G, Knottnerus BJ, Numans ME, Wiewel MA, Bonten TN, de Bruin DP, van Esch T, Chavannes NH, Verheij RA. Impact of a Machine Learning-Based Decision Support System for Urinary Tract Infections: Prospective Observational Study in 36 Primary Care Practices. JMIR Med Inform. 2022 May 4;10(5):e27795. doi: 10.2196/27795. |
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| ID | Term |
|---|---|
| D014552 | Urinary Tract Infections |
| ID | Term |
|---|---|
| D007239 | Infections |
| D014570 | Urologic Diseases |
| D052776 | Female Urogenital Diseases |
| D005261 | Female Urogenital Diseases and Pregnancy Complications |
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| UNKNOWN |
| Academisch Medisch Centrum - Universiteit van Amsterdam (AMC-UvA) | OTHER |
| Netherlands Instititute for Health Services Research | OTHER |
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| D000091642 | Urogenital Diseases |
| D052801 | Male Urogenital Diseases |