Author:
Noack Eva Maria,Zajontz Dagmar,Friede Tim,Antweiler Kai,Hummers Eva,Schmidt Tobias,Roddewig Lea,Schröder Dominik,Müller Frank
Abstract
Abstract
Background
In out-of-hours urgent care practices in Germany, physicians of different specialties care for a large number of patients, most of all unknown to them, resulting in a high workload and challenging diagnostic decision-making. As there is no common patient file, physicians have no information about patients’ previous conditions or received treatments. In this setting, a digital tool for medical history taking could improve the quality of medical care. This study aims to implement and evaluate a software application (app) that takes a structured symptom-oriented medical history from patients in urgent care settings.
Methods
We conduct a time-cluster-randomized trial in two out-of-hours urgent care practices in Germany for 12 consecutive months. Each week during the study defines a cluster. We will compare participants with (intervention group) and without app use (control group) prior to consultation and provision of the self-reported information for the physician. We expect the app to improve diagnostic accuracy (primary outcome), reduce physicians’ perceived diagnostic uncertainty, and increase patients’ satisfaction and the satisfaction with communication of both physician and patient (secondary outcomes).
Discussion
While similar tools have only been subject to small-scale pilot studies surveying feasibility and usability, the present study uses a rigorous study design to measure outcomes that are directly associated with the quality of delivered care.
Trial registration
The study was registered at the German Clinical Trials Register (No. DRKS00026659 registered Nov 03 2021. World Health Organization Trial Registration Data Set, https://trialsearch.who.int/Trial2.aspx? TrialID = DRKS00026659.
Funder
Georg-August-Universität Göttingen
Publisher
Springer Science and Business Media LLC
Cited by
1 articles.
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