To analyse the impact of stressors and anxiety on undergraduate nursing students during their clinical placements. Undergraduate nursing students’ perceived lack of skills to perform the different activities and techniques required is regarded as one of the most relevant stressors in clinical placements, which thus becomes a challenge in their training. Understanding the sources of stress and how it varies throughout their training makes it possible to plan appropriate intervention and support strategies to equip them with the necessary skills for their future professional careers. A prospective longitudinal study with pre- and post-test measures. 113 third-year undergraduate nursing students carrying out their clinical placements (Practicum I) in two tertiary hospitals in the public health system. In the 2021–2022 academic year, the validated Kezkak questionnaire was administered to assess stressors in clinical placements, and the State-Trait Anxiety Inventory (STAI) was used to measure student anxiety levels. Ninety-three students participated in the study; 77.66% were female and 21.28% male, with a mean age of 23 ± 6 years. The overall mean score of the Kezkak was significantly reduced when comparing stress at the beginning of clinical practice with the end (2.84 ± 0.45 points vs. 2.53 ± 0.44 points; p < 0.001), with items such as lack of skills (2.98 ± 0.60 vs. 2.71 ± 0.58 points) and uncertainty and powerlessness (3.05 ± 0.50 vs. 2.65 ± 0.53) standing out. Female students reported higher stress levels than male students, and all stress factors analysed decreased after the clinical practice. Similarly, data on anxiety levels obtained from the STAI were reduced at the end of the internship (2.37 ± 0.21 vs. 2.23 ± 0.21; p < 0.001), with a significant decrease in the subsections of state anxiety(2.35 ± 0.22 vs. 2.23 ± 0.22 points; p < 0.001) and trait anxiety (2.40 ± 0.29 vs. 2.25 ± 0.23; p < 0.001). A decrease in the levels of anxiety and perceived stress was evidenced through factors linked to the clinical placements of undergraduate nursing students. The organisational implementation of Practicum I had a positive impact on nursing students. Implementing new teaching strategies prior to the beginning of the practicum, such as the visualization of knowledge pills, could decrease anxiety and stress levels at the beginning and improve students’ academic results.

Background/Objectives: Early identification of complications in chronic and infectious diseases can reduce clinical deterioration, lead to early therapeutic interventions and lower morbidity and mortality rates. Here, we aimed to assess the feasibility of a novel clinical decision support system (CDSS) based on the automatic generation of alerts through remote patient monitoring and to identify the patient profile associated with the likelihood of severe medical alerts. Methods: A prospective, multicenter, open-label, randomized controlled trial was conducted. Patients with COVID-19 in home isolation were randomly assigned in a 1:1 ratio to receive either conventional primary care telephone follow-up plus access to a mobile app for self-reporting of symptoms (control group) or conventional primary care telephone follow-up plus access to the mobile app for self-reporting of symptoms and wearable devices for real-time telemonitoring of vital signs (case group). Results: A total of 342 patients were randomized, of whom 247 were included in the per-protocol analysis (103 cases and 144 controls). The case group received a more exhaustive follow-up, with a higher number of alerts (61,827 vs. 1825; p < 0.05) but without overloading healthcare professionals thanks to automatic alert management through artificial intelligence. Baseline factors independently associated with the likelihood of a severe alert were having asthma (OR: 1.74, 95% CI: 1.22–2.48, p = 0.002) and taking corticosteroids (OR: 2.28, 95% CI: 1.24–4.2, p = 0.008). Conclusions: The CDSS could be successfully implemented and enabled real-time telemonitoring of patients’ clinical status, providing valuable information to physicians and public health agencies.

(1) Background: We present the protocol of a randomized controlled trial designed to evaluate the benefit of a novel clinical decision support system for the management of patients with COVID-19. (2) Methods: The study will recruit up to 500 participants (250 cases and 250 controls). Both groups will receive the conventional telephone follow-up protocol by primary care and will also be provided with access to a mobile application, in which they will be able to report their symptoms three times a day. In addition, patients in the active group will receive a wearable smartwatch and a pulse oximeter at home for real-time monitoring. The measured data will be visualized by primary care and emergency health service professionals, allowing them to detect in real time the progression and complications of the disease in order to promote early therapeutic interventions based on their clinical judgement. (3) Results: Ethical approval for this study was obtained from the Drug Research Ethics Committee of the Valladolid East Health Area (CASVE-NM-21-516). The results obtained from this study will form part of the thesis of two PhD students and will be disseminated through publication in a peer-reviewed journal. (4) Conclusions: The implementation of this telemonitoring system can be extrapolated to patients with other similar diseases, such as chronic diseases, with a high prevalence and need for close monitoring.