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This study aims to understand how people use a mobile app that helps them record their symptoms before going to the doctor. Patients use the app on a tablet or other digital device. The app guides patients through a series of structured questions tailored to their symptoms. The data collected is then transferred to the practice's electronic record and is available to the treating doctor before and during the consultation.
In this project, anonymized usage data will be analyzed to contribute to the further development of the tool and to provide valuable insights for health services research.
In several studies the usability of digital medical history tools has been demonstrated. These tools allow acute complaints to be recorded using an app before a medical consultation and the data collected to be transferred to the electronic medical record.
The aim of the study is to investigate the effectiveness and use of a digital medical history tool that is becoming increasingly popular in general practice. To this end, it is aimed to evaluate anonymized usage data provided by the company that distributes the app, aidminutes gUG, as part of an observational study with the aim of identifying potential for further development and for questions of health services research (e.g. on the frequency of GP consultations, morbidity and frequency of complaints). This is a retrospective data analysis of anonymous routine data in a cross-sectional design.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Patients | Patients who have used the digital medical history tool in one of the participating general practices |
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| Measure | Description | Time Frame |
|---|---|---|
| Use patterns | Evaluation of the use patterns and frequencies of the medical history tool | From enrollment to the end of app use, up to 8 years |
| Measure | Description | Time Frame |
|---|---|---|
| Data quality | Investigation of the consistency and completeness of the medical history data collected by the medical history tool | From enrollment to the end of app use, up to 8 years |
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Inclusion Criteria:
Exclusion Criteria:
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Lower Saxony, Germany
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Frank Müller, MD PhD | Contact | +495513965663 | frank.mueller@med.uni-goettingen.de | |
| Eva Maria Noack | Contact | +495513965745 | evamaria.noack@med.uni-goettingen.de |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Department of General Practice | Recruiting | Göttingen | Lower Saxony | 37073 | Germany |
Needs to be discussed with responsible data officer
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