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The aim of this study was to adapt the National Aeronautics and Space Administration Task Load Index (NASA-TLX) to the home care setting and translate and validate it in Italian. An online questionnaire containing the Italian version of the NASA-TLX adapted to the home care setting was administered to home care nurses to measure workload. Content Validity Index, Exploratory, and Confirmatory Factor Analyses were used to measure the psychometric characteristics of the modified NASA-TLX. The modified Italian version of NASA-TLX_HC-IT showed good psychometric characteristics in measuring the workload of home care nurses, with excellent fit indices. The reliability, calculated with Cronbach's alpha, was 0.73, indicating adequate reliability. A negative correlation between workload and job satisfaction among home care nurses, as well as a positive association between high workload and intention to leave the workplace, was verified. The modified Italian version of the NASA-TLX_HC-IT was confirmed to be a valid and reliable instrument to measure workload in home care nursing. Furthermore, the correlation between workload and the intention to leave the workplace among home care nurses was an important result that community nursing managers should consider preventing the shortage of home care nurses.
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BACKGROUND: To meet the population's needs, community care should be customized and continuous, adequately equipped, and monitored. INTRODUCTION: Considering their fragmented and heterogeneous nature, a summary of community healthcare services described in European literature is needed. The aim of this study was to summarize their organizational models, outcomes, nursing contribution to care, and nursing-related determinants of outcomes. METHODS: A systematic review was performed by searching PubMed, CINAHL, Scopus, and Embase in October 2022 and October 2023 (for updated results). Quantitative studies investigating the effects of community care, including nursing contribution, on patient outcomes were included and summarized. Reporting followed the PRISMA checklist. The review protocol was registered on PROSPERO (CRD42022383856). RESULTS: Twenty-three studies describing six types of community care services were included, which are heterogeneous in terms of target population, country, interventions, organizational characteristics, and investigated outcomes. Heterogeneous services' effects were observed for access to emergency services, satisfaction, and compliance with treatment. Services revealed a potential to reduce rehospitalizations of people with long-term conditions, frail or older persons, children, and heart failure patients. Models are mainly multidisciplinary and, although staffing and workload may also have an impact on provided care, this was not enough investigated. DISCUSSION: Community health services described in European literature in the last decade are in line with population needs and suggest different suitable models and settings according to different care needs. Community care should be strengthened in health systems, although the influence of staffing, workload, and work environment on nursing care should be investigated by developing new management models. CONCLUSIONS AND IMPLICATIONS FOR HEALTH POLICY: Community care models are heterogeneous across Europe, and the optimum organizational structure is not clear yet. Future policies should consider the impact of community care on both health and economic outcomes and enhance nursing contributions to care.
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INTRODUCTION: The aging of the population requires an appropriate knowledge of the type of care that needs to be provided to inform healthcare policies. In Italy, neither home care nursing, nor the patient experiences have ever been described. OBJECTIVES: To describe the characteristics of nurses and care recipients involved in home care. METHODS: A descriptive cross-sectional study conducted in 18 Italian Regions. Between April and October 2023, data from nurses and patients involved in home care were collected through two surveys. Psychosocial conditions in workplaces, missed care, and care experiences were assessed using validated tools. Descriptive statistics and Pearson's correlations were performed. RESULTS: A total of 46 local healthcare units were included in this study, with a total of 2549 nurses and 4709 care recipients. Nurses (mean age 46.60; 79.48% female; 44.68% regional nursing diploma as the highest qualification) reported good working conditions (42.37; SD = 12.25; range = 0-100) and a high mean number of missed care activities (5.11; SD = 3.19; range 0-9). Most nurses (83.41%) reported high levels of job satisfaction, while 20.28% intended to leave their job. Patients (mean age 75.18; 57.57% female; 36.95% primary school), on the other hand, rated positively the care they had received (8.23; range = 0-10). CONCLUSIONS: Despite the perception of critical issues at work and some missed care, satisfaction in nurses and patients was high. These data constitute a preliminary snapshot of the studied phenomena, which will be investigated through more in-depth analyses.
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Satisfação do Paciente , Humanos , Itália , Feminino , Estudos Transversais , Masculino , Pessoa de Meia-Idade , Inquéritos e Questionários , Idoso , Adulto , Satisfação no Emprego , Local de Trabalho , Serviços de Assistência Domiciliar/normas , Enfermagem Domiciliar , Condições de TrabalhoRESUMO
OBJECTIVES: Accidental falls are among the leading hospitals' adverse events, with incidence ranging from 2 to 20 events per 1.000 days/patients. The objective of this study is to assess the relationship between in-hospital falls and the score of 3 DEPendence and Clinical-Social Fragility indexes. METHODS: A monocentric case-control study was conducted by retrieving data of in-hospital patients from the electronic health records. RESULTS: Significant differences between the mean scores at the hospital admission and discharge were found. The BRASS scale mean (SD) values at the admission and at the discharge were also significantly higher in cases of in-hospital falls: at the admission 10.2 (±7.7) in cases versus 7.0 (±8.0) in controls ( P = 0.003); at the discharge 10.0 (±6.4) versus 6.7 (±7.5) ( P = 0.001). Barthel index mean (SD) scores also presented statistically significant differences: at the admission 60.3 (±40.6) in cases versus 76.0 (±34.8) in controls ( P = 0.003); at discharge 51.3 (±34.9) versus 73.3 (±35.2) ( P = 0.000).Odds ratios were as follows: for Barthel index 2.37 (95% CI, 1.28-4.39; P = 0.003); for Index of Caring Complexity 1.45 (95% CI, 0.72-2.91, P = 0. 255); for BRASS index 1.95 (95% CI, 1.03-3.70, P = 0.026). With BRASS index, the area under the curve was 0.667 (95% CI, 0.595-0.740), thus indicating a moderate predictive power of the scale. CONCLUSIONS: The use of only Conley scale-despite its sensitivity and specificity-is not enough to fully address this need because of the multiple and heterogeneous factors that predispose to in-hospital falls. Therefore, the combination of multiple tools should be recommended.
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Acidentes por Quedas , Humanos , Acidentes por Quedas/estatística & dados numéricos , Estudos de Casos e Controles , Feminino , Masculino , Idoso , Pessoa de Meia-Idade , Hospitalização/estatística & dados numéricos , Medição de Risco/métodos , Idoso de 80 Anos ou mais , Fatores de Risco , AdultoRESUMO
INTRODUCTION: Considering the increasing complexity of care and workload for home care nurses due to the ageing of the population, it is crucial to describe the work environment and the community care setting. The aim of this study protocol is to map the characteristics and identify gaps of home care in the community to design future interventions aimed at ensuring quality and safety. METHODS AND ANALYSIS: This is a national cross-sectional descriptive observational study using the survey method. Nurses from all participating community care centres will be recruited through convenience sampling by the coordinators of each centre, who will act as facilitators for this study. All community care recipients and their informal carers during the study period will be invited to complete a survey.To map the characteristics and identify gaps of home care in the community, three sources of data will be collected: (1) organisational characteristics, professional satisfaction, intention to leave and burn-out; (2) experience of care recipients and their informal carers and (3) improper access to the emergency department, readmission to hospital, comorbidities, services offered and users' level of autonomy, and main and secondary diagnoses.Considering the total Italian nursing population of approximately 450 000 registered nurses, a sample size of 1% of this population, equal to approximately 4600 nurses, was hypothesised.This study started in July 2022 and is planned to end in December 2023.Data will be analysed using descriptive and inferential statistics. ETHICS AND DISSEMINATION: This study protocol was approved by the Liguria Regional Ethics Committee in November 2022. Informed consent will be obtained from participants and confidentiality will be ensured. Data collected for this study will be kept anonymised in a protected database.The results of the study will be disseminated mainly through conferences, publications and meetings with government representatives.
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Serviços de Assistência Domiciliar , Hospitais , Humanos , Estudos Transversais , Projetos de Pesquisa , Tamanho da Amostra , Estudos Observacionais como Assunto , Estudos Multicêntricos como AssuntoRESUMO
PURPOSE: Depressive disorders are the most common manifestation of psychological distress in allogenic hematopoietic stem cell transplantation. Few studies have yet investigated the relationship between therapeutic educational interventions and outcomes in these patients with specific attention to those related to mental health. Aim of this study was to understand how much educational intervention can represent a protective factor in preventing psycho-emotional distress-related issues in this setting. DESIGN: A prospective observational study of a multicenter cohort was conducted. PARTICIPANTS: Adult patients undergoing allogeneic hematopoietic stem cell transplantation. METHODS: A pre-transplant therapeutic educational programme was offered to a cohort of adult patients undergoing allo-HSCT recruited in ten transplant centers of the GITMO network between May 2018 and January 2019. Depression, Anxiety and Stress scale was used to collect data on psycho-emotional distress at admission (T0), at the day of transplant (T1) and at discharge (T2). Descriptive data were collected and reported, and comparative analyses were done among patients who were compliant with the pre-transplant educational intervention and those who did not (for any reason). FINDINGS: A cohort of 133 allo-HSCT patients was observed. In patients who did not receive pre-transplant educational intervention, higher levels of depression at admission (p = 0.01) and at the day of transplant (p = 0.03), higher levels of anxiety (p = 0.01 and p = 0.01 respectively) as well as higher levels of stress (p < 0.01 and p = 0.01) were observed. Problem solving and "face to face" interview were the best methods to provide education to patients. Those who received pre-transplant education through "face-to-face" interview reported significant low levels of depression during the whole hospital stay period (p < 0.01; p = 0.01; p = 0.01) and less anxiety and stress at admission (p < 0.05 and p = 0.01 respectively). Depression was more represented in female than male participants at T0 (16.5% vs 9.0%; p = 0.01), while among T0 and T2 the males had a significant higher increasing of depression than females (p = 0.03). CONCLUSION: Our study demonstrated that pretreatment therapeutic educational programs with specific learning modalities can be effective in limiting the potential risk of developing moderate-to-severe anxiety-depressive states and stress symptoms related to allo-HSCT. IMPLICATIONS FOR PSYCHOSOCIAL PROVIDERS: Further studies are needed to confirm our results and to understand whether containing psycho-emotional distress can have any relationship with medium- and long-term post-transplant complications.
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Introduction: In electronic health records (EHRs), standardized nursing terminologies (SNTs), such as nursing diagnoses (NDs), are needed to demonstrate the impact of nursing care on patient outcomes. Unfortunately, the use of NDs is not common in clinical practice, especially in surgical settings, and is rarely included in EHRs. Objectives: The aim of the study was to describe the prevalence and trend of NDs in a hospital surgical setting by also analyzing the relationship between NDs and hospital outcomes. Methods: A retrospective study was conducted. All adult inpatients consecutively admitted to one of the 15 surgical inpatient units of an Italian university hospital across 1 year were included. Data, including the Professional Assessment Instrument and the Hospital Discharge Register, were collected retrospectively from the hospital's EHRs. Results: The sample included 5,027 surgical inpatients. There was a mean of 6.3 ± 4.3 NDs per patient. The average distribution of NDs showed a stable trend throughout the year. The most representative NANDA-I ND domain was safety/protection. The total number of NDs on admission was significantly higher for patient whose length of stay was longer. A statistically significant correlation was observed between the number of NDs on admission and the number of intra-hospital patient transfers. Additionally, the mean number of NDs on admission was higher for patients who were later transferred to an intensive care unit compared to those who were not transferred. Conclusion: NDs represent the key to understanding the contribution of nurses in the surgical setting. NDs collected upon admission can represent a prognostic factor related to the hospital's key outcomes.
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BACKGROUND AND AIMS: Patients' nutritional intake is a crucial issue in modern hospitals, where the high prevalence of disease-related malnutrition may worsen clinical outcomes. On the other hand, food waste raises concerns in terms of sustainability and environmental burden. We conducted a systematic review to ascertain which hospital services could overcome both issues. METHODS: A systematic literature search following PRISMA guidelines was conducted across MEDLINE, Web of Science, and Scopus for randomised controlled trials (RCTs) and observational studies comparing the effect of hospital strategies on energy intake, protein intake, and plate/food waste. The quality of included studies was assessed using the Newcastle-Ottawa Scale for cohort studies and the Cochrane Risk of Bias tool from the Cochrane Handbook for Systematic Reviews of Interventions for RCTs. RESULTS: Nineteen studies were included, assessing as many hospital strategies such as food service systems-including catering and room service-(n = 9), protected mealtimes and volunteer feeding assistance (n = 4), food presentation strategies (n = 3), nutritional counseling and education (n = 2), plant-based proteins meal (n = 1). Given the heterogeneity of the included studies, the results were narratively analysed. CONCLUSIONS: Although the results should be confirmed by prospective and large sample-size studies, the personalisation of the meal and efficient room service may improve nutritional intake while decreasing food waste. Clinical nutritionist staff-especially dietitians-may increase food intake reducing food waste through active monitoring of the patients' nutritional needs.
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Ingestão de Alimentos , Desnutrição , Humanos , Ingestão de Energia , Desnutrição/prevenção & controle , Refeições/psicologia , HospitaisRESUMO
AIMS AND OBJECTIVES: To analyse the Primary Nursing Model's effect on nursing documentation accuracy. BACKGROUND: The Primary Nursing is widely implemented since it has been considered as the ideal model of care delivery based on the relationship between the nurse and patient. However, previous research has not examined the relationship between Primary Nursing and nursing documentation accuracy. DESIGN: A pretest-posttest-follow-up design was used. METHODS: The study was conducted from August 2018 to February 2020 in eight surgical and medical wards in an Italian university hospital. The Primary Nursing was implemented in four wards (study group), while in the other four, the Team Nursing was practised (control group). Nursing documentation accuracy was evaluated through the D-Catch instrument. From the eight wards, 120 nursing documentations were selected randomly for each time point (pre-test, post-test and follow-up) and in each group. Altogether, 720 nursing documents were assessed. The study adhered to the TREND checklist. RESULTS: The Primary Nursing and Team Nursing Models exhibited significant differences in mean scores for documentation accuracy: assessment on admission, nursing diagnosis, nursing intervention and patient outcome accuracy. No differences between the two groups were found for record structure accuracy and legibility between the posttest and follow-up. CONCLUSION: Primary Nursing exerts an overall positive effect on nursing documentation accuracy and persists over time. RELEVANCE TO CLINICAL PRACTICE: The benefits from Primary Nursing implementation included better-documented patient outcomes. The use of Primary Nursing linked with the use of the nursing process allowed for a more individualised and problem-solving approach. Nurse managers should consider the implementation of Primary Nursing to improve care quality.
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Enfermagem Primária , Humanos , Lista de Checagem , Documentação , Hospitais Universitários , Modelos de EnfermagemRESUMO
Although the effects of malnutrition on morbidity and mortality in adult patients undergoing allogeneic hematopoietic stem cell transplantation are clear, the relationship with quality of life (QOL) is less clear. The purpose of this study was to assess the relationship between malnutrition and QOL. A prospective observational study was conducted in 36 adult patients undergoing allogeneic hematopoietic stem cell transplantation. Adapted criteria of the Global Leadership Initiative on malnutrition have been used for the diagnosis of malnutrition in clinical settings. A cancer linear analog scale was used to assess QOL. Overall QOL at 14 days after allogeneic hematopoietic stem cell transplantation was 37.1 (95% CI 2.9-45.39) in patients without severe malnutrition, versus 16.0 (95% CI - 6.6 to 38.6) in patients with severe malnutrition (p = 0.05). At discharge, it was 48.0 (95% CI 38.4-57.6) versus 34.0 (95% CI 4.1-63.9) (p = 0.27). The results of our study suggest that patients with severe malnutrition at discharge tend to have worse QOL. A larger cohort of patients is required to confirm this hypothesis.
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Transplante de Células-Tronco Hematopoéticas , Desnutrição , Adulto , Transplante de Células-Tronco Hematopoéticas/efeitos adversos , Humanos , Desnutrição/diagnóstico , Desnutrição/etiologia , Estado Nutricional , Estudos Prospectivos , Qualidade de VidaRESUMO
ABSTRACT: In allogeneic hematopoietic stem cell transplantation (AHSCT), falls can lead to immediate and late consequences and in some cases to death. We analyzed risks and causes of falls with root cause analysis (RCA) based on which improvement interventions were implemented.A retrospective observational study was conducted to analyze with RCA data of incidence reports and medical records of patients admitted; an expert panel identified actions to prevent falls, which were collected in a checklist.Between December 2017 and November 2019, 214 patients were admitted to ordinary hospital stays for AHSCT or AHSCTrelated complications. In this period, 15 falls, involving 11 patients, occurred resulting in a 2.32 d/patient incidence. In 66.67% of cases minor head trauma occurred. Diuretic drugs (93.33%), induced hyper-diuresis in nonbladder catheter patients (93.33%) and antihypertensive drugs (93.33%) were reported as most common cause in our incident reports. The most frequent fall time slot was between 10 PM and 7 AM (60%). We determined with RCA diuretics and consequent induced hyper-diuresis (80%), self-insufficiency (40%), antihypertensive (33.3%) and noncompliance (33.3%) as the most common cause of falls. Finally, 16 actions, collected in a "safe comfort" checklist, were identified to prevent falls.Diuretic drugs inducing hyper-diuresis, self-insufficiency, poor patient compliance, orthostatic hypotension, fever, night-time and obstacles within inpatient units are the most common contributing factors. Therefore, administration of diuretic and antihypertensive drugs should be rescheduled and a multidimensional risk assessment scale integrated with a preventive action plan, such as the safe comfort checklist, should be implemented to reduce falls.
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Transplante de Células-Tronco Hematopoéticas , Análise de Causa Fundamental , Transplante de Células-Tronco Hematopoéticas/efeitos adversos , Humanos , Estudos Retrospectivos , Medição de Risco/métodos , Fatores de Risco , Transplante de Células-TroncoRESUMO
Introduction: Health literacy (HL) can be defined as the individual's ability to understand and process health information. A low level of HL can be viewed as a stronger predictor of a person's health status than age, education level, and race. Although HL is an important determinant of health, it is often underestimated. This systematic review investigates the evidence on HL assessment in hospital settings. Methods: PubMed Medline, CINAHL, Scopus, Web of Science and Educational Resources Information Centre databases were searched, with the date last searched being 16 March 2020. The PRISMA guidelines were applied, and the protocol of the study was registered with PROSPERO (CRD42021236029). The quality of the included studies was appraised using the STrengthening the Reporting of OBservational Studies in Epidemiology (STROBE) guidelines for cross-sectional studies. Results: Five studies reported HL assessments in hospital patients' clinical records. Four main strategies were used to implement HL routine assessment in hospitals: multidisciplinary teams, stakeholders, training, and monitoring. Different performance measures were used to monitor the feasibility of incorporating HL assessment into electronic health records (EHRs). Conclusion: This review examined how inpatients' HL is recorded in hospital settings. HL is poorly measured in a hospital setting. These results guide hospital leadership in involving nurses in HL assessment implementation in hospitals and support nurses in creating a specific performance measure dashboard to monitor effective HL assessments in hospitals.
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BACKGROUND: The COVID-19 pandemic affected healthcare systems worldwide. Predictive models developed by Artificial Intelligence (AI) and based on timely, centralized and standardized real world patient data could improve management of COVID-19 to achieve better clinical outcomes. The objectives of this manuscript are to describe the structure and technologies used to construct a COVID-19 Data Mart architecture and to present how a large hospital has tackled the challenge of supporting daily management of COVID-19 pandemic emergency, by creating a strong retrospective knowledge base, a real time environment and integrated information dashboard for daily practice and early identification of critical condition at patient level. This framework is also used as an informative, continuously enriched data lake, which is a base for several on-going predictive studies. METHODS: The information technology framework for clinical practice and research was described. It was developed using SAS Institute software analytics tool and SAS® Vyia® environment and Open-Source environment R ® and Python ® for fast prototyping and modeling. The included variables and the source extraction procedures were presented. RESULTS: The Data Mart covers a retrospective cohort of 5528 patients with SARS-CoV-2 infection. People who died were older, had more comorbidities, reported more frequently dyspnea at onset, had higher d-dimer, C-reactive protein and urea nitrogen. The dashboard was developed to support the management of COVID-19 patients at three levels: hospital, single ward and individual care level. INTERPRETATION: The COVID-19 Data Mart based on integration of a large collection of clinical data and an AI-based integrated framework has been developed, based on a set of automated procedures for data mining and retrieval, transformation and integration, and has been embedded in the clinical practice to help managing daily care. Benefits from the availability of a Data Mart include the opportunity to build predictive models with a machine learning approach to identify undescribed clinical phenotypes and to foster hospital networks. A real-time updated dashboard built from the Data Mart may represent a valid tool for a better knowledge of epidemiological and clinical features of COVID-19, especially when multiple waves are observed, as well as for epidemic and pandemic events of the same nature (e. g. with critical clinical conditions leading to severe pulmonary inflammation). Therefore, we believe the approach presented in this paper may find several applications in comparable situations even at region or state levels. Finally, models predicting the course of future waves or new pandemics could largely benefit from network of DataMarts.
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COVID-19 , Inteligência Artificial , COVID-19/epidemiologia , Tomada de Decisão Clínica , Humanos , Pandemias , Estudos Retrospectivos , SARS-CoV-2RESUMO
Health workers, especially those in patient-facing roles, had a significantly increased risk of COVID-19 infection, having serious outcomes, and risking spreading the virus to patients and staff. Vaccination campaign planning suggests allocating initial supplies of BNT162b2 vaccine to health workers given the importance of early protection to safeguard the continuity of care to patients. The aim of the study is to assess the effectiveness and safety of BNT162b2 vaccine among the health workers of Fondazione Policlinico Universitario Agostino Gemelli IRCCS (FPG). The retrospective cohort study was conducted among health staff working at the FPG. Vaccination data were collected from hospital records. The primary end points were vaccine effectiveness and safety. A total of 6649 health workers were included, of whom 5162 received injections. There were 14 cases of COVID-19 with onset at least 14 days after the second dose among vaccinated health workers and 45 cases among unvaccinated ones. BNT162b2 was 91.5% effective against COVID-19 (95% credible interval, 84.7% to 95.3%). The safety profile of BNT162b2 vaccine consisted of short-term, non-serious events. The promotion and boost of the COVID-19 vaccination campaign represents a key public health measure useful to curb the spread of the pandemic especially in vulnerable contexts, such as hospitals, where health workers carry out a paramount role for the entire community, and requires further protection with a possible booster dose in view of autumn-winter 2021.
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COVID-19 , Vacinas , Vacina BNT162 , Vacinas contra COVID-19 , Humanos , Programas de Imunização , Estudos Retrospectivos , SARS-CoV-2RESUMO
BACKGROUND: The primary nursing care model is considered a personalized model of care delivery based on care continuity and on the relationship between the nurse and patient. Primary nursing checklists are not often mentioned in the literature; however, they represent a valid instrument to develop, implement, and evaluate primary nursing. The aim of this study was to create a structured checklist to explore hospital compliance in primary nursing. METHODS: The Delphi method was used to develop and validate a checklist. The preliminary version was created and sent to three experts for their opinions. Their comments were ultimately used in the first version, which included four components with 19 items regarding primary nursing characteristics. A two-round Delphi process was used to generate consensus items. The Delphi panel consisted of six experts working in primary nursing contexts and/or teaching or studying primary nursing. Data were collected using a structured questionnaire from July 2020 to January 2021. These experts were asked to rate each element for relevance using a 4-point Likert-type scale. Furthermore, the consensus among the panel of experts was set at ≥78%, with selected items being voted "quite relevant" and "highly relevant". Content validity index (I-CVI) and modified kappa statistic were also calculated. Following expert evaluation, the first version of the checklist was modified, and the new version, constituting 17 items, was sent to the same experts. RESULTS: The first version of the checklist demonstrated a main relevance score of 3.34 (SD = 0.83; range = 1.3-4; mean I-CVI = 0.84; range: 0.83-1), but three items did not receive an adequate I-CVI score, that is, lower than 0.78. After the second round, the I-CVIs improved. The main score of relevance was 3.61 (SD: 0.35; range = 2.83-4; mean = I-CVI: 0.93). The S-CVI/UA was 0.58, and the S-CVI/Ave was 0.93. CONCLUSION: Measuring primary nursing compliance should be implemented to provide continuous feedback to nurses. Moreover, utilizing valid checklists could permit comparing different results from others' research. Future research should be conducted to compare the results from the checklist with nursing outcomes.
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The COVID-19 pandemic is impressively challenging the healthcare system. Several prognostic models have been validated but few of them are implemented in daily practice. The objective of the study was to validate a machine-learning risk prediction model using easy-to-obtain parameters to help to identify patients with COVID-19 who are at higher risk of death. The training cohort included all patients admitted to Fondazione Policlinico Gemelli with COVID-19 from March 5, 2020, to November 5, 2020. Afterward, the model was tested on all patients admitted to the same hospital with COVID-19 from November 6, 2020, to February 5, 2021. The primary outcome was in-hospital case-fatality risk. The out-of-sample performance of the model was estimated from the training set in terms of Area under the Receiving Operator Curve (AUROC) and classification matrix statistics by averaging the results of fivefold cross validation repeated 3-times and comparing the results with those obtained on the test set. An explanation analysis of the model, based on the SHapley Additive exPlanations (SHAP), is also presented. To assess the subsequent time evolution, the change in paO2/FiO2 (P/F) at 48 h after the baseline measurement was plotted against its baseline value. Among the 921 patients included in the training cohort, 120 died (13%). Variables selected for the model were age, platelet count, SpO2, blood urea nitrogen (BUN), hemoglobin, C-reactive protein, neutrophil count, and sodium. The results of the fivefold cross-validation repeated 3-times gave AUROC of 0.87, and statistics of the classification matrix to the Youden index as follows: sensitivity 0.840, specificity 0.774, negative predictive value 0.971. Then, the model was tested on a new population (n = 1463) in which the case-fatality rate was 22.6%. The test model showed AUROC 0.818, sensitivity 0.813, specificity 0.650, negative predictive value 0.922. Considering the first quartile of the predicted risk score (low-risk score group), the case-fatality rate was 1.6%, 17.8% in the second and third quartile (high-risk score group) and 53.5% in the fourth quartile (very high-risk score group). The three risk score groups showed good discrimination for the P/F value at admission, and a positive correlation was found for the low-risk class to P/F at 48 h after admission (adjusted R-squared = 0.48). We developed a predictive model of death for people with SARS-CoV-2 infection by including only easy-to-obtain variables (abnormal blood count, BUN, C-reactive protein, sodium and lower SpO2). It demonstrated good accuracy and high power of discrimination. The simplicity of the model makes the risk prediction applicable for patients in the Emergency Department, or during hospitalization. Although it is reasonable to assume that the model is also applicable in not-hospitalized persons, only appropriate studies can assess the accuracy of the model also for persons at home.
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COVID-19/mortalidade , Aprendizado de Máquina , Pandemias , SARS-CoV-2 , Idoso , Idoso de 80 Anos ou mais , Contagem de Células Sanguíneas , Análise Química do Sangue , COVID-19/sangue , Estudos de Coortes , Feminino , Mortalidade Hospitalar , Humanos , Masculino , Pessoa de Meia-Idade , Modelos Estatísticos , Análise Multivariada , Oxigênio/sangue , Pandemias/estatística & dados numéricos , Curva ROC , Fatores de Risco , Cidade de Roma/epidemiologiaRESUMO
Seasonal flu vaccination is one of the most important strategies for preventing influenza. The attitude towards flu vaccination in light of the COVID-19 pandemic has so far been studied in the literature mostly with the help of surveys and questionnaires. Whether a person chooses to be vaccinated or not during the COVID-19 pandemic, however, speaks louder than any declaration of intention. In our teaching hospital, we registered a statistically significant increase in flu vaccination coverage across all professional categories between the 2019/2020 and the 2020/2021 campaign (24.19% vs. 54.56%, p < 0.0001). A linear regression model, based on data from four previous campaigns, predicted for the 2020/2021 campaign a total flu vaccination coverage of 30.35%. A coverage of 54.46% was, instead, observed, with a statistically significant difference from the predicted value (p < 0.0001). The COVID-19 pandemic can, therefore, be considered as an incentive that significantly and dramatically increased adherence to flu vaccination among our healthcare workers.
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Healthcare workers are at the forefront against COVID-19, worldwide. Since Fondazione Policlinico Universitario A. Gemelli (FPG) IRCCS was enlisted as a COVID-19 hospital, the healthcare workers deployed to COVID-19 wards were separated from those with limited/no exposure, whereas the administrative staff were designated to work from home. Between 4 June and 3 July 2020, an investigation was conducted to evaluate the seroprevalence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) immunoglobulin (IgG) antibodies among the employees of the FPG using point-of-care (POC) and venous blood tests. Sensitivity, specificity, and predictive values were determined with reverse-transcription polymerase chain reaction on nasal/oropharyngeal swabs as the diagnostic gold standard. The participants enrolled amounted to 4777. Seroprevalence was 3.66% using the POC test and 1.19% using the venous blood test, with a significant difference (p < 0.05). The POC test sensitivity and specificity were, respectively, 63.64% (95% confidence interval (CI): 62.20% to 65.04%) and 96.64% (95% CI: 96.05% to 97.13%), while those of the venous blood test were, respectively, 78.79% (95% CI: 77.58% to 79.94%) and 99.36% (95% CI: 99.07% to 99.55%). Among the low-risk populations, the POC test's predictive values were 58.33% (positive) and 98.23% (negative), whereas those of the venous blood test were 92.86% (positive) and 98.53% (negative). According to our study, these serological tests cannot be a valid alternative to diagnose COVID-19 infection in progress.
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COVID-19 , Anticorpos Antivirais , Pessoal de Saúde , Hospitais , Humanos , Cidade de Roma , SARS-CoV-2 , Estudos Soroepidemiológicos , Testes SorológicosRESUMO
AIMS: To identify the main diagnostic features of SARS-CoV-2-positive patients at the time of hospitalisation and their prevalence. BACKGROUND: Since the COVID-19 outbreak in China in December of 2019, several studies attempted to identify the epidemiological, viral and clinical characteristics of SARS-CoV-2. Given the rapid widespread transmission of the COVID-19 disease worldwide, a more comprehensive and up-to-date understanding of its features is needed to better inform nurses, clinicians and public health policy makers. METHODS: A rapid review and meta-analysis were carried out to identify the main diagnostic features of SARS-CoV-2-positive patients at the time of hospitalisation. All case series, cross-sectional, case-control and cohort studies published from 01/01/2020 till 30/06/2020 in English and Chinese that stated all or at least two of the outcomes of interest (clinical features, laboratory and radiological findings) were included. We performed a random-effects model meta-analysis to calculate pooled prevalence and 95% confidence intervals. Conduction of the review adheres to the PRISMA checklist. RESULTS: 21 studies involving 8837 patients were included in the quantitative synthesis. Fever, cough and fatigue were the most common clinical features, while the most relevant laboratory abnormalities at the time of hospitalisation were lymphopenia, elevated C-reactive protein and lactate dehydrogenase. CT images showed a bilateral lung involvement, with ground glass infiltrates and patchy shadows on most patients. CONCLUSION: This review provides an up-to-date synthesis of main diagnostic features of SARS-CoV-2-positive patients at the time of hospitalisation. RELEVANCE TO CLINICAL PRACTICE: Our findings could provide guidance for nurses and clinicians to early identification of positive patients at the time of the hospitalisation through a complete definition of main clinical features, laboratory and CT findings.
Assuntos
COVID-19/diagnóstico , COVID-19/patologia , Tosse , Fadiga , Febre , HumanosRESUMO
OBJECTIVE: To identify and meta-synthesize results of qualitative studies on the needs of women cared for by midwives during childbirth in hospitals. DATA SOURCES: MEDLINE, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Embase, and the Cochrane Library. STUDY SELECTION: We restricted the bibliographic search to articles published in English to July 31, 2020. The initial search yielded 6,407 articles, and after 2,504 duplicates were removed, we screened the titles and abstracts of 3,903 articles. We conducted a full-text review of 89 articles and included 13 qualitative studies about the needs of women who were hospitalized during childbirth and had midwives as their primary maternity care providers. DATA EXTRACTION: We extracted data (e.g., authors, publication date, type of study, sample size, results, and quotes) from the full text of each article into a standardized table. Two authors reviewed all articles using the Critical Appraisal Skills Programme tool to assess study quality and to independently score each study. DATA SYNTHESIS: We analyzed the findings of each study and synthesized them to develop themes. We found 14 major themes that reflected the needs of women during hospitalization for childbirth: Nutrition, Hygiene, Privacy, Information, Bodily Respect, Respect for Social Role, Family Intimacy, Shelter, Pain Management, Partnership, Movement, Reassurance, Support, and Empowerment. We categorized these themes in Maslow's hierarchy of needs to better understand the phenomenon. CONCLUSION: We identified 14 needs that midwives and nurses can meet when they care for women in hospitals during childbirth. Standardized methods to assess these needs and to link them to specific interventions can be used by midwives and nurses, which will likely affect women's satisfaction with their experience and overall quality of care.