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To develop a Delirium Care Critical-Thinking Scale for nurses caring for patients in the intensive care unit and examine the scale's psychometric properties.
There is a tool to evaluate nurses' critical thinking skills to determine nursing competency when delirium care is required.
This cross-sectional, mixed-methods study.
The Delphi method was applied for collection and analysis of data during conceptualization and item generation of the tool (Phase I). Item analysis, assessment of validity and reliability of the scale (Phase II) involved 318 nurses recruited by convenience sampling from nine adult intensive care units in medicine and surgery at one medical centre. Confirmatory factor analysis assessed construct validity. Internal consistency and 2-week test–retest stability measured reliability. A Critical Thinking Disposition Inventory Scale examined concurrent validity.
After three rounds, the Delphi method resulted in 31 scale items. Item analysis demonstrated construct reliability ranged from 9.23 to 16.18. Confirmatory factor analysis eliminated one item and extracted five factors: applying knowledge, confirming the problem and accuracy of information, reasoning logically, choosing appropriate strategies and remaining open-minded. Average variance extracted values of all factors indicated good convergent validity. Cronbach's α for internal consistency was .96 with good test-retest reliability. The correlation coefficient for concurrent validity was .301.
The new Delirium Care Critical-Thinking Scale for intensive care nurses was demonstrated to be a reliable and valid tool for evaluating their ability to assess patients with delirium.
This new scale could be used to assess outcomes of education interventions and the effectiveness of nursing care quality involving patients with delirium in intensive and critical care units.
The COSMIN checklist was used as the reporting guideline for this study.
None.
This study compared the ankle-brachial index (ABI) with transcutaneous oxygen pressure (TcPO2) in assessing peripheral vascular disease (PVD) prevalence in 100 diabetic foot ulcer (DFU) patients. Patients were categorized into vascular or nonvascular reconstruction groups and underwent both ABI and TcPO2 measurements four times over 6 months. Predictive validity for PVD diagnosis was analysed using the area under the receiver-operating characteristic curve (AUC). The study found TcPO2 to be a superior predictor of PVD than ABI. Among the DFU patients, 51 with abnormal TcPO2 values underwent vascular reconstruction. Only TcPO2 values showed significant pretreatment differences between the groups and increased post-reconstruction. These values declined over a 6-month follow-up, whereas ABI values rose. For those with end-stage renal disease (ESRD), TcPO2 values saw a sharp decrease within 3 months. Pre-reconstruction TcPO2 was notably lower in amputation patients versus limb salvage surgery patients. In conclusion, TcPO2 is more effective than ABI for evaluating ischemic limb perfusion and revascularization necessity. It should be prioritized as the primary follow-up tool, especially for ESRD patients.
Limb salvage is a difficult path for patients to travel as there is no guarantee of the outcome, often the major factor is perfusion. For patients who underwent transmetatarsal amputation (TMA), success rate is crucial as the next option is most likely a major amputation. We performed a 10 years (2010–2020) retrospective review of patients that underwent a TMA and had an angiogram or computed tomography angiography (CTA) perioperatively at the Dallas VA Medical Center. Failure after TMA was defined as a patient requiring a proximal amputation within 1 year. There were 125 TMAs performed between 2010 and 2020 at the institution. Forty-four (35.2%) patients had an angiogram/CTA peri-operative and met the inclusion criteria. Seventeen subjects (38.6%) had a higher level of amputation. Of the 17 failures, 2 (11.8%) patients had no patent vessel runoff to the foot, 9 (52.9%) had one vessel, 4 (23.5%) had two vessels, and 2 (11.8%) had three vessels runoff. One vessel runoff to the foot yielded a high rate of poor outcomes (56.3%) defined as a higher level of amputation. Two or more vessels runoff to the foot had over 75% success of limb salvage with a TMA.
Given the critical and complex features of medical emergencies, it is essential to develop models that enable prompt and suitable clinical decision-making based on considerable information. Emergency nurses are responsible for categorizing and prioritizing injuries and illnesses on the frontlines of the emergency room. This study aims to create an Emergency Medical Rapid Triage and Prediction Assistance model using electronic medical records and machine learning techniques. Patient information was retrieved from the emergency department of a large regional teaching hospital in Taiwan, and five supervised learning techniques were used to construct classification models for predicting critical outcomes. Of these models, the model using logistic regression had superior prediction performance, with an F1 score of 0.861 and an area under the receiver operating characteristic curve of 0.855. The Emergency Medical Rapid Triage and Prediction Assistance model demonstrated superior performance in predicting intensive care and hospitalization outcomes compared with the Taiwan Triage and Acuity Scale and three clinical early warning tools. The proposed model has the potential to assist emergency nurses in executing challenging triage assessments and emergency teams in treating critically ill patients promptly, leading to improved clinical care and efficient utilization of medical resources. by Byeong Yeob Choi, Abigail R. Grace, Jack Tsai
Few studies have examined heterogeneous associations of risk factors with Coronavirus Disease-2019 (COVID-19) symptoms by type. The objectives of this study were to estimate the prevalence of and risk factors associated with COVID-19 symptoms and to investigate whether the associations differ by the type of symptoms. This study obtained longitudinal data over 6 months from laboratory-confirmed COVID-19 cases in a citywide sample in San Antonio. Sixteen symptoms of COVID-19 infection, measured at baseline and three follow-up times (1, 3, and 6 months), were analyzed using generalized estimating equations (GEE) to investigate potential risk factors while accounting for the repeated measurements. The risk factors included time in months, sociodemographic characteristics, and past or current medical and psychiatric conditions. To obtain interpretable results, we categorized these sixteen symptoms into five categories (cardiopulmonary, neuro-psychological, naso-oropharyngeal, musculoskeletal, and miscellaneous). We fitted GEE models with a logit link using each category as the outcome variable. Our study demonstrated that the associations were heterogeneous by the categories of symptoms. The time effects were the strongest for naso-oropharyngeal symptoms but the weakest for neuro-psychological symptoms. Female gender was associated with increased odds of most of the symptoms. Hispanic ethnicity was also associated with higher odds of neuro-psychological, musculoskeletal, and miscellaneous symptoms. Depression was the most robust psychiatric condition contributing to most of the symptoms. Different medical conditions seemed to contribute to different symptom expressions of COVID-19 infection.The high incidences of both the developmental delay among young children and the mental health problems of their caregivers are major threats to public health in low-income and middle-income countries. Parental training interventions during early childhood have been shown to benefit early development, yet evidence on strategies to promote caregiver mental health remains limited. In addition, evidence on the optimal design of scalable interventions that integrate early child development and maternal mental health components is scarce.
We design a single-blind, factorial, cluster-randomised controlled, superiority trial that will be delivered and supervised by local agents of the All China Women’s Federation (ACWF), the nationwide, government-sponsored social protection organisation that aims to safeguard the rights and interests of women and children. We randomise 125 villages in rural China into four arms: (1) a parenting stimulation arm; (2) a caregiver mental health arm; (3) a combined parenting stimulation and caregiver mental health arm and (4) a pure control arm. Caregivers and their children (aged 6–24 months at the time of baseline data collection) are selected and invited to participate in the 12-month-long study. The parenting stimulation intervention consists of weekly, one-on-one training sessions that follow a loose adaptation of the Reach Up and Learn curriculum. The caregiver mental health intervention is comprised of fortnightly group activities based on an adaptation of the Thinking Healthy curriculum from the WHO. Primary outcomes include measures of child development and caregiver mental health. Secondary outcomes include a comprehensive set of physical, psychological and behavioural outcomes. This protocol describes the design and evaluation plan for this programme.
This study received approval from the Institutional Review Board of Stanford University (IRB Protocol #63680) and the Institutional Review Board of the Southwestern University of Finance and Economics in Chengdu, Sichuan, China. Informed oral consent will be obtained from all caregivers for their own and their child’s participation in the study. The full protocol will be publicly available in an open-access format. The study findings will be published in economics, medical and public health journals, as well as Chinese or English policy briefs.
AEA RCT Registry (AEARCTR-0010078) and ISRCTN registry (ISRCTN84864201).
FreshRSS 