Digital Implementation of the German S3 Clinical Practice Guideline for Multimorbidity

The web application gp-multitool.de study is a digital tool for implementing the German S3 clinical practice guideline for multimorbidity of the German Society of General Practitioners and Family Physicians in primary care. The tool enhances evidence-based and patient-centered care for patients with multimorbidity by assessing and providing information relevant for the primary care of this patient group. The study intervention is based on this digital tool and aims to reduce the probability of hospital admissions (primary outcome) and their outpatient health care use, and to improve process quality of care, patients' health-related quality of life, and patient satisfaction (secondary outcomes). This cluster-randomized clinical evaluation study examines the effectiveness of the gp-multitool.de intervention in GP practices. GPs in the intervention group implement the intervention in consultations with participating patients for 12 months. Intervention GPs gain access to the digital tool, and get a brief introduction to its functionalities, a video tutorial, a written manual, and contact data of telephone support, which can be called in case of any technical or organizational problems in relation to the digital tool. In addition, they receive a short training in the intervention and a checklist of requirements defined in the study protocol. Moreover, each intervention practice will be provided with a mobile device, facilitating inclusion of patients without access to the internet. GPs in the control group receive no intervention and provide care as usual. Patients will be recruited from GP practices in urban and rural administrative districts in Germany. The evaluation study is based on telephone interviews of patients and their GPs. Practices will be randomized after the baseline assessment by an independent statistician who does not have access to the assessed patient and practice data. The primary outcome will be analyzed using a multilevel mixed-effects logistic regression model, and secondary outcomes will be analyzed by multilevel mixed-effects linear and negative-binomial regression models. The project staff conducting patient interviews will be blinded regarding allocation of the patient's practices.