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394,304 result(s) for "Nursing care"
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Impact of COVID-19 on nursing time in intensive care units in Belgium
The COVID-19 pandemic has had a significant impact on nursing practice in intensive care unit and consequently, on workload. To assess the nurse-patient ratio required by COVID-19 patients and to identify the factors that influence nursing in this context. This study was a retrospective observational study that evaluated the ratio using the Nursing Activities Score (NAS). Three Belgian French-speaking hospitals, including five ICUs. Patients included COVID-19 and non-COVID-19 patients. The study included 95 COVID-19 patients and 1604 non-COVID-19 patients (control group) resulting in 905 and 5453 NAS measures, respectively. The NAS was significantly higher among the COVID-19 patients than in the control group (p = <0.0001). In the COVID-19 group, these higher scores were also observed per shift and uniformly across the three hospitals. COVID-19 patients required more time in the activities of monitoring and titration (χ2 = 457.60, p = <0.0001), mobilisation (χ2 = 161.21, p = <0.0001), and hygiene (χ2 = 557.77, p = <0.0001). Factors influencing nursing time measured by NAS in the COVID-19 patients were age <65 years old (p = 0.23), the use of continuous venovenous hemofiltration (p = 0.002), a high APACHE II score (p = 0.006) and patient death (p = 0.002). A COVID-19 diagnosis was independently associated with an increase in nursing time (OR = 4.8, 95% CI:3.6–6.4). Patients hospitalised in the ICU due to COVID-19 require significantly more nursing time and need an average ratio of almost 1:1.
Dynamic delirium – Nursing intervention to reduce delirium in patients critically Ill, a randomized control trial
To determine the effectiveness of a nursing intervention based on the Dynamic Symptom Model (DSM) and scientific evidence versus daily care in reducing the incidence and duration of delirium in intensive care patients. We designed the intervention named “DyDel” (By Dynamic Delirium) based on the theoretical approach of the DSM and from scientific evidence. A double-masked clinical trial of parallel groups was developed to test DyDel, with 213 patients older than 18 admitted to the intensive care unit (ICU) randomized to the study groups. The intervention group received DyDel each shift from day 0 until discharged from the ICU, while the control group received daily care in the ICU. At the same time, all participants were followed to measure primary (incidence and duration of delirium) and secondary outcomes (level of sedation and pain, days of mechanical ventilation, stay in ICU, and physical restriction). Overall, the study population were older than 60 years (60.3 ± 15.2 years), the male gender (59.6 %), and the diagnosis of acute myocardial infarction (73.7 %) were predominant. Comparing groups of study, the incidence of delirium was lower in the intervention group (5.6 %) than in the control group (14.8 %) (p = 0.037). The intervention group had lower days with delirium (0.07 ± 0.308) than the control group (0.34 ± 1.28) (p = 0.016), lower pain intensity (p = 0.002) and lower days of physical restraints (p = 0.06). Non-pharmacological care, like the DyDel intervention, includes the family and focuses on the different patient's needs, which can help to reduce the incidence and duration of delirium in patients admitted to adult ICUs. DyDel was non-pharmacological and included the family. The DyDel's activities were focused on physiological, psychological, spiritual, and social needs and the experience and trajectory of delirium. The nurse can give humanized care in the ICU by applying DyDel.
Antecedents of unfinished nursing care: a systematic review of the literature
Background Unfinished Nursing Care (UNC) concept, that express the condition when nurses are forced to delay or omit required nursing care, has been largely investigated as tasks left undone, missed care, and implicit rationing of nursing care. However, no summary of the available evidence regarding UNC antecedents has been published. The aim of this study is to identify and summarise antecedents of UNC as documented in primary studies to date. Methods A systematic review according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines was conducted. MEDLINE, CINAHL, SCOPUS, and PROSPERO databases were searched for quantitative studies reporting the relationships between antecedents and UNC published after 2004 up to 21 January 2020. The reference lists of secondary studies have been scrutinised to identify additional studies. Two reviewers independently identified studies and evaluated them for their eligibility and disagreements were resolved by the research team. The quality appraisal was based on the Joanna Briggs Institute Critical Appraisal tools, according to the study designs. A data extraction grid was piloted and then used to extract data. The antecedents that emerged were thematically categorised with an inductive approach. Results Fifty-eight studies were included; among them, 54 were cross-sectional, three were cohort studies, and one was a quasi-experimental study. They were conducted mainly in the United States and in hospital settings. The UNC antecedents have been investigated to date at the (a) unit (e.g., workloads, non-nursing tasks), (b) nurse (e.g., age, gender), and (c) patient levels (clinical instability). Conclusions At the unit level, it is highly recommended to provide an adequate staff level, strategies to deal with unpredictable workloads, and to promote good practice environments to reduce or minimise UNC. By contrast, at the nurse and patient levels, there were no clear trends regarding modifiable factors that could decrease the occurrence of UNC. The map of antecedents that emerged can be used to design interventional studies aimed at changing research from merely descriptive to that which evaluates the effectiveness of interventions.
Prevalence and reasons for missed nursing care in adult intensive care units
To explore missed nursing care activities and possible reasons in adult intensive care units in mainland China. A descriptive study. ICU nurses were recruited by convenience sampling between August 2023 and October 2023. They were asked to complete the missed intensive nursing care scale (MINCS) consisted in three parts (Basic information of participants, missed care elements in ICU and reasons for missing). Data analysis was conducted through descriptive, univariate and multivariate analyses. We followed the RANCARE guideline and STROBE checklist when reporting this study. A total of 550 registered nurses participated in this study. The total scores for missed nursing care items in ICU ranged from 38 to 167 points, with an average item score of (1.79 ± 0.72). Nursing activities related to satisfy patients’ physiological and emotional needs were most frequently missed. The scores for the causes of such omissions ranged from 23 to 92 points, with an average item score of (2.44 ± 0.81). Nurse professional burnout, inadequate human resource allocation, and insufficient competence were the most commonly reported reasons by ICU nurses. Moreover, nurses’ gender and job title were found to be associated with MNC in the ICU ( p  < 0.001).
The effect of mobile health application training based on micro-learning method on the level of resilience and happiness among intensive care nurses: a randomized controlled trial
Background Increasing the level of resilience and happiness of intensive care nurses can lead to an improvement in their psychological health. This study aimed to extract the possible effectiveness of mHealth application utilizing the micro-learning method on a mobile phone platform on the intensive care nurses’ resilience and happiness. Materials and methods This single-blind randomized controlled trial was conducted in 2022-24. Sixty nurses working in intensive care units at two hospitals in Tehran, Iran were recruited using purposive sampling and randomly assigned to either the intervention or control group. Techniques of resilience and increasing happiness were taught to the intervention group using the mHealth application based on the micro-learning method. No training was provided to the control group. For data collection, questionnaires of individual characteristics, Connor-Davidson Resilience, and Oxford Happiness were used. Results Before the intervention, there was no significant difference between the mean of the subscales and the total score of resilience and happiness of the intervention and control groups ( P  < 0.05). However, after the intervention, there was a significant difference ( P  < 0.05). After using the mHealth application, the total resilience score of the intervention group increased from 67.30 ± 10.12 to 79.27 ± 5.87 ( P  < 0.0001), while the resilience of the control group changed from 68.80 ± 9.09 to 65.93 ± 8.44 ( P  = 0.548). Similarly, using the mHealth educational application based on micro-learning led to an increase in the happiness score of the intervention group from 38.50 ± 11.10 to 67.83 ± 8.84 ( P  < 0.0001), whereas the happiness score of the control group nurses after the intervention (38.93 ± 14.33) compared to the baseline (41.40 ± 14.51) did not change significantly ( P  = 0.388). Conclusions The use of the mHealth application based on the micro-learning method played an effective role in training resilience and happiness skills in nurses. It is recommended to conduct more studies using this new educational approach. Trial registration The study has been registered in the Iranian Registry of Clinical Trials (No. IRCT20221225056916N1, Date: 04/29/2023).