Refine
Document Type
- Article (2)
Language
- English (2)
Has Fulltext
- yes (2)
Is part of the Bibliography
- no (2)
Keywords
- - (1)
- COVID-19 (1)
- Early mobilization (1)
- ICU‐acquired weakness (1)
- Neuromuscular electrical stimulation (1)
- Protocol‐based physiotherapy (1)
- Sepsis (1)
- Whole‐body vibration (1)
- clinical (1)
- clinical decision support (1)
Institute
Publisher
- JMIR Publications (1)
- Wiley (1)
Background: Clinical practice guidelines are systematically developed statements intended to optimize patient care. However, a gapless implementation of guideline recommendations requires health care personnel not only to be aware of the recommendations and to support their content but also to recognize every situation in which they are applicable. To not miss situations in which recommendations should be applied, computerized clinical decision support can be provided through a system that allows an automated monitoring of adherence to clinical guideline recommendations in individual patients.
Objective: This study aims to collect and analyze the requirements for a system that allows the monitoring of adherence to evidence-based clinical guideline recommendations in individual patients and, based on these requirements, to design and implement a software prototype that integrates guideline recommendations with individual patient data, and to demonstrate the prototype’s utility in treatment recommendations.
Methods: We performed a work process analysis with experienced intensive care clinicians to develop a conceptual model of how to support guideline adherence monitoring in clinical routine and identified which steps in the model could be supported electronically. We then identified the core requirements of a software system to support recommendation adherence monitoring in a consensus-based requirements analysis within the loosely structured focus group work of key stakeholders (clinicians, guideline developers, health data engineers, and software developers). On the basis of these requirements, we designed and implemented a modular system architecture. To demonstrate its utility, we applied the prototype to monitor adherence to a COVID-19 treatment recommendation using clinical data from a large European university hospital.
Results: We designed a system that integrates guideline recommendations with real-time clinical data to evaluate individual guideline recommendation adherence and developed a functional prototype. The needs analysis with clinical staff resulted in a flowchart describing the work process of how adherence to recommendations should be monitored. Four core requirements were identified: the ability to decide whether a recommendation is applicable and implemented for a specific patient, the ability to integrate clinical data from different data formats and data structures, the ability to display raw patient data, and the use of a Fast Healthcare Interoperability Resources–based format for the representation of clinical practice guidelines to provide an interoperable, standards-based guideline recommendation exchange format.
Conclusions: Our system has advantages in terms of individual patient treatment and quality management in hospitals. However, further studies are needed to measure its impact on patient outcomes and evaluate its resource effectiveness in different clinical settings. We specified a modular software architecture that allows experts from different fields to work independently and focus on their area of expertise. We have released the source code of our system under an open-source license and invite for collaborative further development of the system.
Abstract
Background
Early mobilization improves physical independency of critically ill patients at hospital discharge in a general intensive care unit (ICU)‐cohort. We aimed to investigate clinical and molecular benefits or detriments of early mobilization and muscle activating measures in a high‐risk ICU‐acquired weakness cohort.
Methods
Fifty patients with a SOFA score ≥9 within 72 h after ICU admission were randomized to muscle activating measures such as neuromuscular electrical stimulation or whole‐body vibration in addition to early protocol‐based physiotherapy (intervention) or early protocol‐based physiotherapy alone (control). Muscle strength and function were assessed by Medical Research Council (MRC) score, handgrip strength and Functional Independence Measure at first awakening, ICU discharge, and 12 month follow‐up. Patients underwent open surgical muscle biopsy on day 15. We investigated the impact of muscle activating measures in addition to early protocol‐based physiotherapy on muscle strength and function as well as on muscle wasting, morphology, and homeostasis in patients with sepsis and ICU‐acquired weakness. We compared the data with patients treated with common physiotherapeutic practice (CPP) earlier.
Results
ICU‐acquired weakness occurs within the entire cohort, and muscle activating measures did not improve muscle strength or function at first awakening (MRC median [IQR]: CPP 3.3 [3.0–4.3]; control 3.0 [2.7–3.4]; intervention 3.0 [2.1–3.8]; P > 0.05 for all), ICU discharge (MRC median [IQR]: CPP 3.8 [3.4–4.4]; control 3.9 [3.3–4.0]; intervention 3.6 [2.8–4.0]; P > 0.05 for all), and 12 month follow‐up (MRC median [IQR]: control 5.0 [4.3–5.0]; intervention 4.8 [4.3–5.0]; P = 0.342 for all). No signs of necrosis or inflammatory infiltration were present in the histological analysis. Myocyte cross‐sectional area in the intervention group was significantly larger in comparison with the control group (type I +10%; type IIa +13%; type IIb +3%; P < 0.001 for all) and CPP (type I +36%; type IIa +49%; type IIb +65%; P < 0.001 for all). This increase was accompanied by an up‐regulated gene expression for myosin heavy chains (fold change median [IQR]: MYH1 2.3 [1.1–2.7]; MYH2 0.7 [0.2–1.8]; MYH4 5.1 [2.2–15.3]) and an unaffected gene expression for TRIM63, TRIM62, and FBXO32.
Conclusions
In our patients with sepsis syndrome at high risk for ICU‐acquired weakness muscle activating measures in addition to early protocol‐based physiotherapy did not improve muscle strength or function at first awakening, ICU discharge, or 12 month follow‐up. Yet it prevented muscle atrophy.