Conectar
by Katarzyna Kaczmarczyk, Maria Zakynthinaki, Gabor Barton, Mateusz Baran, Andrzej Wit
Hallux Valgus foot deformity affects gait performance. Common treatment options include distal oblique metatarsal osteotomy and chevron osteotomy. Nonetheless, the current process of selecting the appropriate osteotomy method poses potential biases and risks, due to its reliance on subjective human judgment and interpretation. The inherent variability among clinicians, the potential influence of individual clinical experiences, or inherent measurement limitations may contribute to inconsistent evaluations. To address this, incorporating objective tools like neural networks, renowned for effective classification and decision-making support, holds promise in identifying optimal surgical approaches. The objective of this cross-sectional study was twofold. Firstly, it aimed to investigate the feasibility of classifying patients based on the type of surgery. Secondly, it sought to explore the development of a decision-making tool to assist orthopedists in selecting the optimal surgical approach. To achieve this, gait parameters of twenty-three women with moderate to severe Hallux Valgus were analyzed. These patients underwent either distal oblique metatarsal osteotomy or chevron osteotomy. The parameters exhibiting differences in preoperative and postoperative values were identified through various statistical tests such as normalization, Shapiro-Wilk, non-parametric Wilcoxon, Student t, and paired difference tests. Two artificial neural networks were constructed for patient classification based on the type of surgery and to simulate an optimal surgery type considering postoperative walking speed. The results of the analysis demonstrated a strong correlation between surgery type and postoperative gait parameters, with the first neural network achieving a remarkable 100% accuracy in classification. Additionally, cases were identified where there was a mismatch with the surgeon’s decision. Our findings highlight the potential of artificial neural networks as a complementary tool for surgeons in making informed decisions. Addressing the study’s limitations, future research may investigate a wider range of orthopedic procedures, examine additional gait parameters and use more diverse and extensive datasets to enhance statistical robustness.To describe the implementation of a trauma-informed model of care in the Post COVID Respiratory Clinic of a large tertiary referral centre in NSW.
Discussion paper.
Evidence gathered from a literature search (2008–2022) was used to develop a framework for management of patients presenting to this Post COVID Respiratory Clinic. This paper outlines the personal reflections of the clinic staff as they developed and implemented this framework. Ethical approval was obtained to report the data collected from patient reviews.
The literature highlights the high prevalence of trauma in patients following COVID-19 infection, as well as the larger population both during and after the pandemic. This experience of trauma was observed in patients seen within the clinic, indicating a need for specialized care. In response, a trauma-informed model of care was implemented.
Reconceptualizing COVID-19 as a ‘collective trauma’ can help healthcare workers understand the needs of post-COVID patients and enable them to respond empathetically. A trauma-informed model is complementary to this cohort as it specifically addresses vulnerable populations, many of whom have been further marginalized by the pandemic.
Frontline healthcare workers, particularly nurses, are well positioned to implement trauma-informed care due to their high-level of patient contact. Adequate allocation of resources and investment in staff is essential to ensure such care can be provided.
The COVID-19 pandemic has led to adverse physical and mental health outcomes for many. Trauma-informed care is a way to promote reengagement with the healthcare system in this group. Post COVID patients globally may benefit from this approach, as it aims to build trust and independence.
Feedback was sought from a patient representative to ensure this paper adequately reflected the experience of the post-COVID patient.
by Lukáš Vejřík, Ivana Vejříková, Zuzana Sajdlová, Luboš Kočvara, Tomáš Kolařík, Daniel Bartoň, Tomáš Jůza, Petr Blabolil, Jiří Peterka, Martin Čech, Mojmír Vašek
Stable isotope analysis (SIA) is widely used to study trophic ecology and food webs in aquatic ecosystems. In the case of fish, muscle tissue is generally preferred for SIA, and the method is lethal in most cases. We tested whether blood and fin clips can be used as non-lethal alternatives to muscle tissue for examining the isotopic composition of two freshwater predatory fish, European catfish (Silurus glanis) and Northern pike (Esox lucius), species of high value for many freshwater systems as well as invasive species in many others. Blood samples from the caudal vein, anal fin clips, and dorsal muscle obtained by biopsy punch were collected from four catfish and pike populations (14–18 individuals per population). Subsequently, these samples were analyzed for δ13C and δ15N. The effects of alternative tissues, study site, and fish body mass on the isotopic offset were investigated. Both species showed a correlation between the isotopic offset and the tissue type, as well as the study site, but no significant relationship with the body mass. The isotopic offsets between tissues were used to calculate the conversion equations. The results demonstrated that both blood and fin clips are suitable and less invasive alternative to muscle in SIA studies focused on European catfish and Northern pike. Blood provided better correspondence to muscle isotope values. However, our results clearly demonstrated that isotopic offsets between tissues vary significantly among populations of the same species. Therefore, obtaining a muscle biopsy from several individuals in any population is advisable to gain initial insights and establish a possible population-specific inter-tissue conversion.Nursing interventions in the post-operative time period including psychological and emotional support, adverse event education, and instructions for follow-up care contribute patient satisfaction, safety, and quality of life. However, the time spent in the post-anesthesia care unit (PACU) and hospital continues to shorten around the world to reduce health care spending and improve patient outcomes. Nurses conducting research during the important post-operative recovery period need to utilize unique techniques and emerging technologies to contact, recruit and collect data outside of the hospital setting including the Research Electronic Data Capture (REDCap) platform.
This paper describes the feasibility and acceptability, facilitators and barriers of the software application, REDCap, to complete a repeated-measures, descriptive correlational study in patients undergoing outpatient breast cancer surgeries.
The recruitment, data collection and storage were completed utilizing the secure REDCap Platform. The Institutional Research Board (IRB)-approved study was a repeated-measures, descriptive, correlational study with data collection at three time points. The data points aligned with important transitions and routine visits to improve data collection feasibility and increase relevance to clinical practice.
The sample consisted of women diagnosed with breast cancer undergoing breast conserving surgery between August 15 and October 15, 2020. There were 123 potential participants, of which 76 started the surveys and 75 participated (61%) responded and participated in the study on Post-operative Day 1. Fifty-nine participants (78%) completed the surveys on post-operative Day 14.
As the frequency of outpatient treatment increases, nurses conducting post-operative research will need to collect the data outside of the hospital setting.
Email provides a method of studying new phenomena by recruiting participants, providing information about the study, and collecting results in a non-traditional setting. REDCap provides a method to facilitate nursing research through a securely encrypted integrated process.
Increasing numbers of young people attending university has raised concerns about the capacity of student mental health services to support them. We conducted a randomised controlled trial (RCT) to explore whether provision of an 8 week mindfulness course adapted for university students (Mindfulness Skills for Students—MSS), compared with university mental health support as usual (SAU), reduced psychological distress during the examination period. Here, we conduct an economic evaluation of MSS+SAU compared with SAU.
Economic evaluation conducted alongside a pragmatic, parallel, single-blinded RCT comparing provision of MSS+SAU to SAU.
616 university students randomised.
The primary economic evaluation assessed the cost per quality-adjusted life year (QALY) gained from the perspective of the university counselling service. Costs relate to staff time required to deliver counselling service offerings. QALYs were derived from the Clinical Outcomes in Routine Evaluation Dimension 6 Dimension (CORE-6D) preference based tool, which uses responses to six items of the Clinical Outcomes in Routine Evaluation Outcome Measure (CORE-OM; primary clinical outcome measure). Primary follow-up duration was 5 and 7 months for the two recruitment cohorts.
It was estimated to cost £1584 (2022 prices) to deliver an MSS course to 30 students, £52.82 per student. Both costs (adjusted mean difference: £48, 95% CI £40–£56) and QALYs (adjusted mean difference: 0.014, 95% CI 0.008 to 0.021) were significantly higher in the MSS arm compared with SAU. The incremental cost-effectiveness ratio (ICER) was £3355, with a very high (99.99%) probability of being cost-effective at a willingness-to-pay threshold of £20 000 per QALY.
MSS leads to significantly improved outcomes at a moderate additional cost. The ICER of £3355 per QALY suggests that MSS is cost-effective when compared with the UK’s National Institute for Health and Care Excellence thresholds of £20 000 per QALY.
Australian and New Zealand Clinical Trials Registry, ACTRN12615001160527.
The objective of this study was to determine the feasibility and effectiveness of using SUpported Motivational InTerviewing (SUMIT) to increase physical activity in people with knee osteoarthritis (KOA).
Randomised controlled trial.
We recruited people who had completed Good Life with osteoArthritis Denmark (GLA:D) from private, public and community settings in Victoria, Australia.
Participants were randomised participants to receive SUMIT or usual care. SUMIT comprised five motivational interviewing sessions targeting physical activity over 10 weeks, and access to a multimedia web-based platform.
Thirty-two participants were recruited (17 SUMIT, 15 control) including 22 females (69%).
Feasibility outcomes included recruitment rate, adherence to motivational interviewing, ActivPAL wear and drop-out rate. Effect sizes (ESs) were calculated for daily steps, stepping time, time with cadence >100 steps per minute, time in bouts >1 min; 6 min walk distance, Knee Osteoarthritis Outcome Score (KOOS) subscales (pain, symptoms, function, sport and recreation, and quality of life (QoL)), Euroqual, systolic blood pressure, body mass index, waist circumference, 30 s chair stand test and walking speed during 40 m walk test.
All feasibility criteria were achieved, with 32/63 eligible participants recruited over seven months; with all participants adhering to all motivational interviewing calls and achieving sufficient ActivPAL wear time, and only two drop-outs (6%).
12/15 outcome measures showed at least a small effect (ES>0.2) favouring the SUMIT group, including daily time with cadence >100 steps per minute (ES=0.43). Two outcomes, walking speed (ES= 0.97) and KOOS QoL (ES=0.81), showed a large effect (ES>0.8).
SUMIT is feasible in people with knee osteoarthritis. Potential benefits included more time spent walking at moderate intensity, faster walking speeds and better QoL.
ACTRN12621000267853.
Missed nursing care (MNC) significantly affects patient safety and quality of care. It is a widely used concept that has been studied in different settings, but research in paediatric care is quite limited. Therefore, this descriptive cross-sectional study aimed to report the prevalence, patterns, correlates, factors and predictors of MNC in paediatric care units in two central European countries.
A cross-sectional comparative study.
Data collection was carried out between June and November 2021 using the MISSCARE Survey-Pediatric. The study included 441 registered nurses working in paediatric care units in the Czech Republic and Slovakia. Data were analysed using descriptive and inferential statistics in the SPSS 25.0 statistical program.
Almost all nurses, 92.7% of nurses missed at least one nursing activity during the last shift. The most missed care activity in both countries was the promotion of neuroevolutionary development, and the most prominent reasons were labour resources. MNC was weakly but significantly correlated with nurse experience in the current position and was predicted by the country, nurse education and overtime hours (p ≤ .05). Differences in prevalence of MNC and reasons for MNC were identified based on several variables (p ≤ .05).
The assessment of MNC in paediatric settings is often a neglected area, although the prevalence in this study was moderate.
Nurse staff shortages, as a global problem, have many impacts on patient outcomes in the delivery of nursing care. However, there are also many factors that can reduce the prevalence of MNC. More research should focus on a closer examination of these factors that involve hospital and nurse variables.
The study was carried out according to the STROBE checklist and the RANCARE guideline.
No patient or public contribution.
FreshRSS 