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Nursing Staff

Nursing Staff: The professional personnel responsible for the provision of nursing care.
This includs registered nurses, licensed practical nurses, and nursing aides and assistants.
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Most cited protocols related to «Nursing Staff»

After arriving at one of the three participating sites, respondents were escorted by project staff to the clinic where they were checked in, and were then escorted to the room where they would stay overnight. In most cases, respondents arrived mid-afternoon of Day 1 of their visit and ended their stay by noon of Day 2. On Day 1, with staff assistance, they completed the medical history, the bone densitometry scan, and physical exam, each of which required 30–45 minutes. They were also given the self-administered questionnaire (SAQ) to complete that evening (see www.midus.wisc.edu for copies of assessment instruments, which are included under descriptions of the MIDUS II projects) Clinic nursing staff began collecting the 12 hour urine specimen (collection period 7 p.m. to 7 a.m.). On Day 2 nursing staff collected the fasting blood specimen and completed the 12 hour urine specimen collection.
After breakfast, project staff carried out an experimental protocol assessing physiological response to, and recovery from, cognitive and orthostatic challenges similar to stressors people experience in their daily lives. The protocol consisted of a series of two randomized 6 minute cognitive challenges, one involving a math task and the other a Stroop-like test (decision-making about stimuli in which letters and colors are in conflict), followed by a 6 minute orthostatic (standing) challenge. Each challenge was followed by a 6 minute recovery period. Physiological reactivity throughout the experimental protocol was monitored via measures of blood pressure, heart rate variability and respiration, and salivary cortisol. Completed SAQs were then collected, and respondents were debriefed. At the UW-Madison data collection site, information was given about completing objective sleep assessments, to be returned by mail, after returning home. At the end of their visits, respondents were given a report about their blood pressure, body mass index (BMI), and waist-hip ratio. They were sent letters reporting cholesterol, HAlc, and bone density 1–2 months after the clinic visit.
To ensure consistency across sites and optimize the pace and quality of data collection, project staff and clinic nursing staff at all three sites followed standardized procedures that were detailed in a general Manual of Procedures, as well as more specific Guidelines for Collecting and Processing Biomarkers, and a Psychophysiology Manual. An administrative database was used to facilitate management and tracking of cross-project participation as well as tracking of participation at the three Project 4 sites. This information allowed review of participation information and quality control assessments, including identifying areas where additional staff training was required. Monthly conference calls with staff and investigators from all sites provided a forum to discuss issues or problems. Prior to these calls, each site generated a “Progress Report”, using report queries built into the administrative database; the reports were circulated for review by all on the conference call.
Publication 2010
Biological Markers BLOOD Blood Pressure Bone Density Bones Cholesterol Clinic Visits Cognition Conferences Densitometry Hydrocortisone Index, Body Mass Life Experiences Nursing Staff Physical Examination physiology Rate, Heart Respiration Sleep Urine Specimen Collection Waist-Hip Ratio
There are two widely used tests of attention and processing speed in multiple sclerosis: the Paced Auditory Serial Addition Task (PASAT)13 and the Symbol Digit Modalities Test (SDMT, oral form).19 Both are included in the BRB-N and the MACFIMS. The SDMT achieved higher ratings, with a psychometric MOR of 2.8 and a pragmatic MOR of 3.0. In comparison, the PASAT achieved a psychometric MOR of 2.6 and a pragmatic MOR of 1.9. Discussion acknowledged that the SDMT is more congenial for both patient and assessor, takes less time to complete, requires less expertise and experience of the assessor and unlike the PASAT, does not require special equipment for auditory presentation of stimuli. It has equal psychometric validity to the PASAT.20 (link) The committee considered the evidence that the PASAT has detected therapeutic efficacy of disease modifying medication on cognition,21 (link),22 (link) but felt that the SDMT was the better choice for the specified context on feasibility grounds.
The SDMT19 was recommended as the test of information processing speed. The test consists of single digits paired with abstract symbols (Figure 1). Rows of the nine symbols are arranged pseudo-randomly. The patient must say the number that corresponds with each symbol. The SDMT can be completed within 5 min, including instructions, practice and testing. The good psychometric properties of the SDMT are well described.23 (link) The SDMT has a reported sensitivity of 82% and a specificity of 60%.24 (link) It has validations in several countries.2 (link),24 (link)–26 (link, link) Estimates of practice effects and change indices are available.27 (link) The SDMT has a high sensitivity to cognitive impairment in MS.6 (link),26 (link),28 (link) It has been shown to be the best predictor of MS cognitive impairment in both the BRB-N and MACFIMS.6 (link) The SDMT is reliable when administered by nursing staff over several months, with minimal practice effects (0.2).29 (link) There is also evidence for the sensitivity of the SDMT to cognitive change in MS.2 (link),25 (link),30 (link) The SDMT is well validated against both conventional brain MRI parameters (including atrophy,31 brain parenchymal fraction (BPF) and third ventricular width,32 (link) atrophy at baseline predicting SDMT change;33 (link) cortical lesion number and white matter lesion volume,34 (link) cortical lesion volume,32 (link),34 (link).35 cortical lesion volume change correlating with SDMT change,36 (link) correlation with some deep grey matter (DGM) nuclei,37 (link) including thalamic fraction;32 (link) and fMRI (fractional anisotropy).38 (link) The SDMT has also been shown to have external clinical validity, being significantly linked to both current39 (link) and future30 (link) employment status.
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Publication 2012
Anisotropy Atrophy Attention Auditory Perception Brain Cell Nucleus Cognition Cortex, Cerebral Disorders, Cognitive Feelings fMRI Gray Matter Hypersensitivity Multiple Sclerosis Nursing Staff OPRM1 protein, human Patients Pharmaceutical Preparations Psychometrics Thalamus Therapeutics Ventricles, Third White Matter
The diagnosis of delirium was made according to DSM-IV-TR criteria [1 ] in each centre by an expert assessor (G.B. in Monza and A.M. in Cremona). The reference standard assessment was undertaken 15–30 min after the 4AT assessment, without knowledge of the 4AT score. The reference standard diagnostic procedure included the short Confusion Assessment Method (CAM) [18 (link)] with additional assessments as detailed below. The patient interaction started with the introduction of the assessor's name and role, followed by asking the patient's name and address, and orientation to time, place and person. Fluctuation of symptoms was ascertained through informant history from nursing staff and the patient's carers. Questions used included ‘Has there been a sudden change in patient's mental state since coming into hospital?’; ‘Does the patient seem better at any period in the day compared to other times?’; ‘Has his/her level of consciousness been altered at all - for example, has he/she been drowsy or not interacting, or perhaps agitated at times?’. Attention was evaluated using several methods. First, the patient was asked to state the days of the week forward and backwards, and to count backwards from 20 to 1. Any error in each of these tasks was considered as inattention. An additional test was the SAVEAHAART vigilance task embedded in the Confusion Assessment Method- ICU (CAM-ICU) [19 (link)], where the assessor recites the sequence of letters slowly and the patient is asked to indicate when the letter ‘A’ is recited. Inattention was defined as the presence of more than two errors, as per CAM-ICU manual. During each of these tasks, the examiner observed the patient's distractibility, comprehension and the tendency to lose the thread of conversation. Level of consciousness was assessed using the RASS [11 (link)]. The assessment of disorganised thinking was performed by asking the patient a list of pre-defined questions, such as ‘Why are you in hospital?’; ‘Will a stone float on water?’; ‘Are there fish in the sea?’. Any error in each of these tasks was considered to indicate disorganised thinking. Additionally, assessors recorded sleep-wake cycle disturbances, psychomotor abnormalities (including abnormal motor behaviour), perceptual disturbances, short- and long-term memory disturbances, psychotic symptoms and depressed mood, as derived from the clinical notes and patient interview. These assessments were used in combination against the DSM-IV-TR criteria, with the objective indicators described above supplemented by the assessors' judgement regarding the subjective features.
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Publication 2014
Attention Calculi Congenital Abnormality Consciousness Delirium Diagnosis Fishes Memory Deficits Mental Disorders Mood Nursing Staff Patients rasagiline Sleep Disorders Somnolence Tests, Diagnostic
CMP data are recorded prospectively and abstracted onto standard forms by trained data collectors according to precise rules and definitions. Abstraction is usually performed retrospectively by chart review. It is thought to take around 10–20 min to abstract the data for one admission, depending on how much intervention the patient has received. A comprehensive dataset specification (the ICNARC Case Mix Programme Dataset Specification) [9 ] and individual data collection manuals are made available to all data collectors and software developers. Data collectors from each unit are trained prior to commencing data collection at a 2-day training course. One consultant, one nurse and one audit clerk from each new unit are initially trained to ensure a wide knowledge of the data to be collected in the unit. Retraining of existing staff or training of new staff is also available. Training courses are held at least four times per year.
Precise figures on the background of data collectors are not available. However, each unit must register one data collector as a point of contact for ICNARC. Analysis of the job titles of the 187 staff members for which these data are available shows the following split: 117 (62.6%) audit staff (e.g. audit clerk, information officer, data coordinator), 33 (17.6%) nursing staff (e.g. staff nurse, audit nurse), 23 (12.3%) clerical staff (e.g. secretary, administrative coordinator), six (3.2%) joint audit and clerical staff (e.g. audit and administration manager), three (1.6%) consultant anaesthetists and five other staff (audit clerk/nursing auxiliary, clinical effectiveness coordinator, clinical effectiveness facilitator, ICU technician and research assistant).
Data are collected on consecutive admissions to each participating critical care unit and are submitted to ICNARC in cycles of 6 months. Data are validated locally according to the ICNARC Case Mix Programme Dataset Specification and undergo extensive central validation for completeness, illogicalities and inconsistencies, with data validation reports returned to the units for correction or confirmation. The validation process is repeated until all queries have been dealt with, and the data are then incorporated into the CMPD.
Units receive comparative data analysis reports on each cycle (6 months) of data, from which they can identify their own unit's data compared with all other participating units. Clinicians and managers can also interrogate the CMPD directly by submitting requests for analyses to ICNARC. Reports from these ad hoc analyses are published online [10 ].
Publication 2004
Anesthetist ARID1A protein, human Clergy Consultant Dysplasia, Campomelic Joints Nurses Nurses' Aides Nursing Staff Patients

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Publication 2020
Anxiety Anxiety Disorders COVID 19 morin Nursing Staff Respiratory Diaphragm Sleeplessness

Most recents protocols related to «Nursing Staff»

The study population consisted of all the medical and nursing healthcare providers involved in providing institutional care during labour and birthing, including obstetric Consultants, Senior Residents, Post- Graduate doctors and all grades of nursing Staff.
Sampling involved "Universal total population sampling” [41 ] whereby all individuals belonging to the study population and present at the time of the study were approached for participation by sharing the Study Participant Information Sheet (Additional file, Annexure 1). This was done to eliminate any selection bias or sampling error. Those healthcare providers who expressed willingness to participate were given the Consent Form (Additional file, Annexure 2) for signature. These respondents were then handed over a printed questionnaire with a request to enter their response. Filled response sheets, along with consent forms, were personally collected from the participants. Since the PI was an Undergraduate student, her involvement in the interview and data collection could not have placed the participants under any coercion.. Of 115 doctors, 96 completed the questionnaire (response rate of 83%), while 55 of 105 nurses completed the questionnaire (response rates of 52%). With a sample of 151, our overall response rate was 69%. Most (95%) of the respondents were females.
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Publication 2023
Females Health Personnel Nurses Nursing Staff Physicians Student
Questionnaire data were collected prior to the implementation of PEWS and SBAR in January 2018 and at follow-up 6 months after the completion of the implementation period in January 2021. All the data were obtained from the electronic medical records in the Information System of Hospital. The information of the patients during admission including age, gender, underlying disease, consciousness state, vital signs, physiological and laboratory variables was collected. The pneumonia symptom relief time and total hospitalization time of fever, cough, pulmonary rales, and wheezing were recorded in both groups. Emotional state: The Neonatal Infant Pain Scale (NIPS)[9 (link)] and the Neonatal Behavior Neurological Assessment Scale (NBNA)[10 (link)] were used to evaluate the emotional state of the newborn by the senior nurses who had been specially trained and qualified as psychotherapists. The number of intervention measures reported by nursing staff and the number of medical intervention measures during PICU in the 2 groups was counted, and then the correct recognition rate of observation and early recognition rate of critically ill children were calculated. The early recognition rate of severe patients = times of rescue of critically ill children/ (total number of reports - times of repeated reports) × 100%. The incidence of handover problems during PICU was recorded between the 2 groups, including incident reports and communication errors. In accordance with World Health Organization definitions, we defined incident reports as “A process used to document occurrences that are not consistent with routine hospital operation or patient care. A communication error is defined as “Missing or wrong information exchange or misinterpretation or misunderstanding.”[11 (link)] To measure communication within and between different professions, the ICU Nurse–Physician Questionnaire was used.[12 (link)]
Publication 2023
Child Consciousness Cough Critical Illness Emotions Fever Gender Hospitalization Incident Reporting Infant, Newborn Neurologic Examination Nurses Nursing Staff Pain Patients Physicians physiology Pneumonia Psychotherapists Signs, Vital
To ensure the continuity and integrity of the statistical data, the general information, completion, and follow-up information are managed by urology surgeons who have passed 2 rigorous training sessions, and the data entered are fixed and checked by 2 senior nursing staff involved in the clinical trial to avoid bias in the evaluation of clinical trial participant’s indicators due to personal factors and to improve objectivity in the evaluation.
Publication 2023
Muscle Rigidity Nursing Staff Surgeons
An invitation letter of communication training was sent to each nursing staff in the hospital. Those who agreed to attend the training were asked to submit a written consent form with their own signature. Subsequently, 206 participants joined our training program in 2017–18. A communication training program was conducted for nursing staff as a platform for recruiting participants using convenient sampling technique. Researchers conducted a paper-and-pencil survey aimed at evaluating the perceived effectiveness of communication training on handover among nursing staff. A validated Nurses’ Handover Perceptions Questionnaire (NHPQ) was adopted for the survey.
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Publication 2023
Nurses Nursing Handoff Nursing Staff
Nursing Home Gran Residencia, is a public nursing home located in Madrid, Spain. Medication of residents is centrally controlled at Hospital Clínico San Carlos, in Madrid. Starting January 2021, Gran Residencia offered the BNT162b2 mRNA-based vaccine to all its residents. All of them were invited to participate in the study, finally including all those who accepted and signed the informed consent. Initially, a total of 196 NHR with or without documented pre-existing SARSCoV-2 infection were enrolled. Previous infection status was based on a positive PCR test or presence of anti-N IgG antibodies in the past or at pre-vaccination testing. The evolution of anti-RBD titer was monitoring over six months in 166 individuals out of the initially recruited. Twenty-four of these also provided paired samples for assessment of SARS-CoV-2 T-cell response. In order to investigate the influence of age and environment on IgG levels, humoral response of the residents was compared with that obtained with two different volunteer groups: nursing home staff (n = 44) and members of the association of retired health workers of the Hospital Clínico San Carlos over 65 years of age who live outside of Gran Residencia (n = 36). The two control groups were recruited similarly to residents. All of them were invited to participate in the study and all those who accepted were included. Enrolled participants completed a questionnaire, indicating age, gender, underlying conditions and usual medication (if any). A phone number was also added for future contacts. The age of all the staff was less than 65 years. The booster effect was determined only in 115 of the initially recruited individuals. The residents dropped out of the study for several reasons (own decision or that of their relatives, deterioration of their health, exitus).
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Publication 2023
Anti-Antibodies Biological Evolution BNT162B2 Granisetron Health Personnel Infection mRNA Vaccine Nursing Staff Personnel, Hospital Pharmaceutical Preparations SARS-CoV-2 Secondary Immunization T-Lymphocyte Vaccination Voluntary Workers

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More about "Nursing Staff"

Nursing staff refers to the professional personnel responsible for providing nursing care, including registered nurses (RNs), licensed practical nurses (LPNs), and nursing aides/assistants.
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This cutting-edge tool offers powerful AI-driven comparisons to improve reproducibility and accuracy.
Nursing staff can utilize PubCompare.ai to explore relevant research, protocols, and products related to their work, such as SPSS version 25, SAS 9.4, SPSS Statistics version 22, ESwab, Penicillin/streptomycin, Radioimmunoassay, SPSS version 23, SPSS Statistics version 24, Stata version 13, and DC 430MA-S.
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